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CN-122026576-A - Charging safety monitoring and remote control system and method for global travel converter

CN122026576ACN 122026576 ACN122026576 ACN 122026576ACN-122026576-A

Abstract

The application relates to the technical field of power conversion equipment and intelligent charging management and control, in particular to a system and a method for monitoring and remotely controlling charging safety of a global travel converter. The method comprises the steps of collecting input side power grid parameters through the global travel converter, controlling the input side power grid parameters to adapt to the power grid system of the current corresponding region, obtaining electric operation parameters of all output interfaces of the global travel converter after the adaptation is completed, determining an optimal charging strategy according to the electric operation parameters, under the optimal charging strategy, identifying corresponding abnormal charging results through light artificial intelligent reasoning on parameter data collected by the global travel converter, and synchronously transmitting the parameter data and the corresponding abnormal charging results to a preset cloud platform through short-distance wireless communication and global mobile communication links so as to update the abnormal charging results, thereby completing safe monitoring and remote control on the charging of the global travel converter.

Inventors

  • WANG GUIMING
  • XU ZEBIN

Assignees

  • 珠海市钛芯动力科技股份有限公司

Dates

Publication Date
20260512
Application Date
20260413

Claims (10)

  1. 1. A method for monitoring and remotely controlling the charging safety of a global travel converter, comprising: Acquiring electric operation parameters of each output interface of the global travel converter after the adaptation is completed, and identifying charging rated parameters of the accessed electric equipment according to the electric operation parameters so as to match corresponding optimal charging strategies according to the charging rated parameters; Under an optimal charging strategy, identifying a corresponding charging abnormal result by carrying out light artificial intelligent reasoning on the parameter data acquired by the global travel converter, and synchronously transmitting the parameter data and the corresponding charging abnormal result to a preset cloud platform through short-range wireless communication and global mobile communication double-link so that the cloud platform carries out deep abnormal rechecking on the parameter data and the charging abnormal result to update the charging abnormal result; And generating remote control information corresponding to the global travel converter according to the updated charging abnormal result, and completing the charging safety monitoring and remote control of the global travel converter.
  2. 2. The method according to claim 1, wherein the acquiring, by the global travel converter, the input side grid parameter, and controlling the input side grid parameter to adapt to the grid system of the current corresponding region, includes: The input side electric parameters of the input side are collected in real time through an input side sampling module of the global travel converter, wherein the input side electric parameters at least comprise one or more of a power grid voltage effective value, a power grid frequency, a power grid phase and a zero-live wire polarity electric parameter; Comparing the acquired input side electrical parameters with a global regional power grid system standard database pre-stored in the local of the converter, and identifying a target regional power grid system corresponding to the current access power grid; According to the identified target area power grid system, a wide-range voltage regulation module, a frequency synchronization module and a switchable pin executing mechanism inside the global travel converter are controlled to execute corresponding system adaptation actions; During the execution of the adapting action, monitoring the abnormal state of the input side in real time, wherein the abnormal state at least comprises any one of surge, overvoltage and undervoltage; If the abnormal state is detected, locking the adapting action and disconnecting the main power supply loop at the input side, and if the abnormal state is not detected, closing the main power supply loop at the input side after the adapting action is completed, so that the global travel converter enters a standby state to be charged.
  3. 3. The method of claim 1, wherein after the adapting, obtaining the electrical operation parameters of each output interface of the global travel converter, and identifying the charging rated parameters of the access electric equipment according to the electrical operation parameters comprises: After the global travel converter enters a standby state to be charged, micro-current detection pulses are sent to each output interface in a fixed period, and electric operation parameters of each output interface are collected in real time, wherein the electric operation parameters at least comprise one or more of output voltage, output current, interface impedance and interface plugging state; When the interface impedance of any output interface is determined to have abrupt change of preset amplitude and the interface plugging state is changed to be accessed according to the electrical operation parameters, judging that the corresponding output interface is accessed to the electric equipment, stopping micro-current detection pulse of the output interface, and outputting a preset charging protocol negotiation handshake signal to the output interface; The handshake signal is negotiated through a charging protocol to carry out full protocol stack interaction with the accessed electric equipment, and rated input voltage, rated input current, rated charging power and charging rated parameters of supported charging protocol types of the electric equipment are read and analyzed; If the interaction failure of the charging protocol is determined according to the charging rated parameters, the input current change curves of the electric equipment under different output voltages are collected through a continuous step-up detection mode, and the charging rated parameters of the electric equipment are obtained through fitting identification through the input current change curves.
  4. 4. A method according to claim 3, wherein said matching the corresponding optimal charging strategy according to the charging rating parameter comprises: screening a candidate charging strategy set which is completely matched with a charging protocol and rated parameters supported by electric equipment from a pre-stored charging strategy library according to the identified charging rated parameters accessed to the electric equipment; Obtaining the maximum input power limit corresponding to the current access regional power grid system, the rated maximum output power of the whole converter and the real-time occupied power of the current rest accessed electric equipment, and calculating to obtain the current available output power allowance of the converter; Screening out alternative charging strategies of which the maximum output power of the single equipment does not exceed the available output power allowance from the candidate charging strategy set; Combining the battery type and charging stage characteristics of the accessed electric equipment, and selecting a strategy with highest charging conversion efficiency and lowest battery charging loss from alternative charging strategies as an initial optimal charging strategy; in the charging execution process, the change of the charging state of the electric equipment and the fluctuation of the input side power grid parameters are monitored in real time, the available output power allowance is dynamically updated in a fixed period, and the output parameters of the optimal charging strategy are synchronously adjusted until the electric equipment is charged.
  5. 5. The method according to claim 1, wherein the identifying the corresponding abnormal charging result by lightweight artificial intelligence reasoning on the parameter data collected by the global travel converter under the optimal charging strategy comprises: In the execution process of the optimal charging strategy, synchronously acquiring power grid parameters at the input side of the converter, electric operation parameters of each output interface, temperature parameters of key power devices and interface positions in the converter and on-off state parameters of internal switching devices at preset fixed sampling frequency to construct a real-time operation parameter data set; Carrying out normalization pretreatment and sliding time window slicing treatment on the real-time operation parameter data set to obtain an inference feature sequence conforming to the input format of the local lightweight model; Inputting the reasoning feature sequence into a lightweight charge anomaly detection artificial intelligent model which is pre-trained and deployed at the local side of the converter, and executing real-time reasoning operation at the side; Outputting an abnormal type, an abnormal grade and a charging abnormal result of an abnormal occurrence position corresponding to the current charging state through model reasoning operation, wherein the abnormal type comprises overvoltage abnormality, overcurrent abnormality, overtemperature abnormality, short-circuit abnormality, electric leakage abnormality, battery bulge risk abnormality and unauthorized equipment access abnormality; If the reasoning result is that no abnormality exists, parameter collection and reasoning operation are continuously executed, and if the reasoning result is that abnormality exists, local emergency protection action is triggered, and standardized abnormality report data are generated.
  6. 6. The method of claim 1, wherein the step of synchronously transmitting the parameter data and the corresponding charging anomaly result to a preset cloud platform through a short-range wireless communication and global mobile communication link, so that the cloud platform performs deep anomaly rechecking on the parameter data and the charging anomaly result to update the charging anomaly result, comprises: After the converter generates real-time operation parameter data and a charging abnormal result, a short-range wireless communication link and a global mobile communication link are started at the same time, and double-channel synchronous data transmission operation is executed, wherein the short-range wireless communication link transmits the parameter data and the charging abnormal result to a preset cloud platform preferentially through a matched user mobile terminal, and the global mobile communication link directly accesses a mobile cellular network in the current area through a global Internet of things communication module built in the converter and transmits the parameter data and the charging abnormal result to the cloud platform directly; After the cloud platform receives data transmitted by any link, firstly performing data integrity and validity check, after the data passes the check, retrieving historical operation data of the converter, a global abnormal sample library of equipment with the same type and an official safety parameter database of access electric equipment, and performing deep rechecking reasoning on the reported parameter data and charging abnormal results through a deep artificial intelligent abnormal detection model deployed at the cloud; And correcting and confirming the abnormality type and the abnormality grade of the locally reported charging abnormality result according to the deep rechecking reasoning result, and if the rechecking result is inconsistent with the locally reported result, updating the charging abnormality result based on the deep rechecking reasoning result.
  7. 7. The method of claim 1, wherein generating remote control information corresponding to the global travel converter according to the updated charging anomaly result, and completing charging safety monitoring and remote control of the global travel converter, comprises: Dividing the updated abnormal charging result into a prompt level, an early warning level and an emergency level according to a preset safety level rule; Aiming at the abnormal result of the prompt level, corresponding charging parameter fine adjustment control information is generated and is issued to the global travel converter, the global travel converter is controlled to adjust the output parameters of the corresponding charging strategy, and prompt notification information is sent to a user; aiming at the abnormal result of the early warning level, corresponding power limit and derate operation control information is generated and sent to the global travel converter, the global travel converter is controlled to limit the maximum output power of the corresponding abnormal output interface, the operation load of the whole machine is synchronously reduced, and meanwhile early warning notification information and user confirmation options of whether to shut down the corresponding interface are sent to a user; for an emergency level abnormal result, generating emergency disconnection control information, simultaneously transmitting the emergency disconnection control information to a global travel converter through a short-distance wireless communication and global mobile communication double link, and controlling the global travel converter to disconnect an output loop of a corresponding abnormal interface or directly disconnect a main power supply loop at the input side of the whole machine, and simultaneously transmitting an emergency alarm notification and abnormal detail information; After the issued remote control information is received, corresponding control actions are executed, after the execution is completed, action execution results and real-time operation parameters are returned to the cloud platform, a control closed loop is completed, and the whole-process monitoring and remote control of the global travel converter charging safety are realized.
  8. 8. The method according to claim 1, wherein the method further comprises: according to a preset fixed period, anonymized operation parameter data and charging abnormality results reported by all the accessed global travel converters in the global scope are obtained, and a global distributed training sample set is constructed; Based on the global distributed training sample set, iterative optimization training is carried out on the deep artificial intelligence anomaly detection model of the cloud to obtain updated model weight parameters; Cutting, quantizing and compressing the updated model weight parameters through a federal learning framework to generate a lightweight model update package adapting to the operation of a converter end chip; and after the converter receives the light model update package, executing an integrity check and version comparison operation, and when the verification passes and the version update exists, completing the iterative update of the local light artificial intelligent model when the converter is in a standby state without a charging task, restarting an inference service after the update is completed, and executing a charging abnormality identification operation by adopting the updated local light artificial intelligent model.
  9. 9. The method according to claim 1, wherein the method further comprises: receiving travel journey information uploaded by a mobile terminal, and analyzing to obtain journey destination, stay time of a user, grid system information of a corresponding destination and local electricity utilization safety specifications; generating a power consumption behavior prediction model and a power consumption power demand curve of a user at a corresponding destination through a time sequence prediction algorithm based on historical charging data of the user, the type of the accessed electric equipment and the charging rated parameter; According to the power grid system of the destination, the local electricity consumption safety specification and the generated electricity consumption power demand curve, generating personalized power grid adaptation parameters, a charging strategy template and an abnormality judgment threshold value of the adaptation destination in advance, and pre-issuing the parameters to a global travel converter for local storage; When the destination is reached, the global travel converter accesses a local power grid corresponding to the destination, and the pre-issued personalized parameters are called to complete power grid system adaptation and charging strategy matching, and meanwhile, the local abnormality judgment threshold value is synchronously updated; And during the stay period of the global travel converter, corresponding actual electricity utilization data is acquired in real time, dynamic iterative optimization is carried out on an electricity utilization behavior prediction model, and a personalized charging strategy and an abnormal judgment threshold value are synchronously adjusted until the end of a journey is determined.
  10. 10. A system for monitoring and remote control of the charge safety of a global travel converter, characterized in that it implements a method according to any one of claims 1 to 9, comprising: The system comprises a global travel converter, a parameter acquisition unit, a power supply unit and a power supply unit, wherein the global travel converter is used for acquiring input side power grid parameters through the global travel converter, and controlling the input side power grid parameters to adapt to the power grid system of the current corresponding region; The result updating unit is used for identifying a corresponding charging abnormal result by carrying out light artificial intelligent reasoning on the parameter data acquired by the global travel converter under an optimal charging strategy, and synchronously transmitting the parameter data and the corresponding charging abnormal result to a preset cloud platform through short-range wireless communication and global mobile communication double-link so that the cloud platform carries out deep abnormal rechecking on the parameter data and the charging abnormal result to update the charging abnormal result; And the control completion unit is used for generating remote control information corresponding to the global travel converter according to the updated charging abnormal result, and completing the charging safety monitoring and remote control of the global travel converter.

Description

Charging safety monitoring and remote control system and method for global travel converter Technical Field The application relates to the technical field of power conversion equipment and intelligent charging management and control, in particular to a system and a method for monitoring and remotely controlling charging safety of a global travel converter. Background With the continuous increase of the frequency of global cross-border business trip and travel trip, the global travel converter becomes a necessary electronic accessory for the cross-border trip. The global power grid systems of all countries and regions have great difference, the civil voltage covers a whole range from 100V to 240V, the power grid frequency is divided into two systems of 50Hz/60Hz, meanwhile, the pin standard covers tens of types of national standards, american standards, european standards, english standards, south Africa standards and the like, and the charging protocol and rated charging parameters of consumer electronic equipment are quite different, so that extremely high requirements are provided for the cross-border adaptation capability, charging compatibility, use safety and intelligent management and control capability of the global travel converter. The existing global travel converter is mainly divided into two main types, namely a traditional passive mechanical adaptation type converter, the physical form of pins is converted only through a mechanical structure, fuse protection is realized by matching with a basic fuse, no electric parameter adaptation and intelligent control capability are caused, equipment damage is easily caused by mismatching of a power grid system and incompatibility of parameters of electric equipment even safety accidents such as electric shock and fire disaster are easily caused during cross-border use, and the active intelligent type converter is additionally provided with a voltage regulating circuit and basic fast charging protocol compatibility function on the basis of mechanical adaptation, and part of products are additionally provided with simple hardware overvoltage and overcurrent protection circuits and single-link networking functions, so that the adaptation and safety are improved to a certain extent, but the safety is limited by serious shortage of the power grid self-adaptation capability, and the whole-flow safety control is avoided in the adaptation process. In the prior art, most of manual mechanical switching pin and fixed voltage gear voltage regulation schemes are adopted, full-dimensional parameters of an input side power grid cannot be acquired in real time and are adaptively matched with a power grid system of a target area, the operation is complex, equipment damage is easily caused by misoperation of a user, a few automatic voltage regulation schemes can only realize switching of 110V/220V two-gear fixed voltage, and full-dimensional system differences such as frequency, phase and zero line polarity of the power grid in different regions worldwide cannot be adapted, so that cross-border compatibility is extremely poor. Disclosure of Invention The application provides a charging safety monitoring and remote control system and method of a global travel converter, which aim to solve the problems that the existing global travel converter is mainly divided into two major types, namely a traditional passive mechanical adaptive converter, the physical form of a pin is converted only through a mechanical structure, the fuse protection is realized by matching with a basic fuse, no electric parameter adaptation and intelligent management and control capability exist, equipment damage is easily caused by mismatching of power grid systems and incompatible electric equipment parameters during cross-border use, and even safety accidents such as electric shock and fire are caused. In a first aspect, an embodiment of the present application provides a method for monitoring and remotely controlling charging safety of a global travel converter, where the method includes: Acquiring electric operation parameters of each output interface of the global travel converter after the adaptation is completed, and identifying charging rated parameters of the accessed electric equipment according to the electric operation parameters so as to match corresponding optimal charging strategies according to the charging rated parameters; Under an optimal charging strategy, identifying a corresponding charging abnormal result by carrying out light artificial intelligent reasoning on the parameter data acquired by the global travel converter, and synchronously transmitting the parameter data and the corresponding charging abnormal result to a preset cloud platform through short-range wireless communication and global mobile communication double-link so that the cloud platform carries out deep abnormal rechecking on the parameter data and the charging abnormal result to update the charging abnormal resu