CN112689023B - Electric automobile fills electric pile distribution management system based on big data - Google Patents

Electric automobile fills electric pile distribution management system based on big data Download PDF

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CN112689023B
CN112689023B CN202110050271.8A CN202110050271A CN112689023B CN 112689023 B CN112689023 B CN 112689023B CN 202110050271 A CN202110050271 A CN 202110050271A CN 112689023 B CN112689023 B CN 112689023B
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charging pile
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CN112689023A (en
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余道义
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Shenzhen Act Manufacturing Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations

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Abstract

The invention discloses an electric automobile charging pile distribution management system based on big data, relates to the technical field of electric automobile charging, and solves the technical problems that the charging pile management system is not linked with an electric automobile and the charging pile is not managed and maintained timely in the prior art; the invention is provided with the vehicle pile linkage module, so that a vehicle owner can accurately and timely acquire the position of the charging pile, and the condition that the electric quantity of the battery of the electric vehicle is insufficient due to negligence of the vehicle owner is avoided; the invention is provided with the vehicle pile monitoring module, which is beneficial to ensuring the charging safety of the charging pile and providing detailed state information of the battery for a vehicle owner; the management scheduling module is arranged, and the management scheduling module dispatches the workers according to the first charging pile position and the real-time worker position in the charging pile schematic diagram, so that the charging piles with faults or occupied charging piles can be timely processed, and meanwhile, the dispatching process of the workers is visualized, and the monitoring is facilitated.

Description

Electric automobile fills electric pile distribution management system based on big data
Technical Field
The invention belongs to the technical field of electric vehicle charging, relates to a big data technology, and particularly relates to an electric vehicle charging pile distribution management system based on big data.
Background
With the shortage of petroleum resources and the development of battery technology, a new generation of energy-saving and environment-friendly automobiles represented by electric vehicles becomes a necessary trend for the development of the automobile industry; with the development of electric automobiles, the demand for public charging devices is increasing; the development of electric vehicles is a huge system engineering, and comprises the aspects of power battery pack production, electric vehicle production, matched charging system construction, whole vehicle and accessory maintenance and the like; the matched charging system is an indispensable support system, is similar to a gas station of a traditional fuel automobile, and is a prerequisite for popularization of the electric vehicle.
The invention patent with publication number CN107545649A provides a charging pile management system for an electric automobile, which comprises a master control center, an area monitoring system, a local monitoring system, an electric card management system and a network geographic information system; the master control center is in communication connection with the electric card management system, the area monitoring system and the network geographic information system respectively; the other end of the regional monitoring system is in communication connection with the local monitoring system; the master control center is used for centrally controlling the charging piles and the running state information thereof, and centrally acquiring and storing the charging pile data information; the local control system is used for monitoring, managing and protecting the charging process of the charging pile.
According to the scheme, the state of the charging pile in the network geographic information system is updated in time, the latest charging pile information can be obtained when the electric automobile visits the network geographic information system again, and the charging pile can be quickly, conveniently and accurately found to provide charging service for the electric automobile; at that time, the state of the charging pile can be displayed only when the electric automobile accesses the network geographic information system, and the linkage of the charging pile management system and the electric automobile cannot be realized; therefore, the above solution still needs further improvement.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides a big data-based electric vehicle charging pile distribution management system.
The purpose of the invention can be realized by the following technical scheme: an electric vehicle charging pile distribution management system based on big data comprises a processor, a data analysis module, a management scheduling module, a data storage module, a vehicle pile linkage module and a vehicle pile monitoring module;
the pile driving monitoring module comprises a safety monitoring unit and a fault detection unit;
the vehicle pile linkage module is in communication connection with an intelligent terminal of a vehicle owner; the pile driving linkage module comprises an active mode and a passive mode; the initiative mode fills electric pile position for car owner initiative provides, includes:
acquiring a charging pile position and marking the charging pile position as a first initial position; drawing a circular area by taking the first initial position as a circle center and taking the R1 as a radius and marking the circular area as a first circular area; wherein R1>0;
acquiring the battery electric quantity of the electric automobile in the first circular area, judging that the battery electric quantity of the electric automobile is low when the battery electric quantity is lower than an electric quantity set value, acquiring the position of the electric automobile and marking the position as a first target position;
planning paths of a first initial position and a first target position through a third-party map platform and marking the first target path; the third-party map platform comprises a Baidu map, a Gaode map and an Tencent map;
sending the first target path to an intelligent terminal of the electric automobile corresponding to the automobile owner in the first circular area; the intelligent terminal opens the data receiving authority;
the passive mode is used for the car owner to obtain the position of filling electric pile through intelligent terminal, includes:
the vehicle owner enters a charging pile position searching interface through the intelligent terminal, and the position of the vehicle owner is marked as a second initial position;
drawing a circular area by taking the second initial position as a circle center and taking R2 as a radius and marking the circular area as a second circular area; wherein R2>0;
acquiring the position of a charging pile in a second circular area and marking the position of the charging pile as a second target position;
planning paths of a second initial position and a second target position through a third party map platform and marking a second target path i, i =1,2, … …, n;
acquiring the distance between the second target path i and the second initial position and marking as JLi; acquiring the congestion degree of the second target path i and marking the congestion degree as YCi;
obtaining a path evaluation coefficient LPXi by a formula LPXi = β 1 × JLi × YCi + β 2; wherein β 1 and β 2 are proportionality coefficients, and both β 1 and β 2 are real numbers greater than 0;
selecting a path with the minimum path evaluation coefficient and marking the path as a final path;
and sending the final path to the intelligent terminal of the vehicle owner.
Preferably, the fault detection unit is used for monitoring faults of batteries of electric vehicles, and includes:
when a charging gun of the intelligent charging pile is connected with a charging port of the electric automobile, acquiring output current and output voltage of the charging gun of the charging pile, and respectively marking the output current and the output voltage as SDL and SDY;
acquiring battery data of the electric automobile, wherein the battery data comprises terminal voltage and electrolyte concentration values of the battery, and respectively marking the terminal voltage and the electrolyte concentration values of the battery as DDY and DNZ;
by the formula
Figure GDA0003955746420000031
Obtaining a battery evaluation coefficient DPX, wherein alpha 4 is a proportionality coefficient, and alpha 4 is a real number greater than 0;
when the battery evaluation coefficient DPX meets the condition that the DPX is larger than or equal to L4, judging that the battery of the electric automobile is abnormal, and sending a battery abnormal signal to an intelligent terminal of a corresponding automobile owner through a processor; when the battery evaluation coefficient DPX meets that the DPX is not less than L3 and less than L4, judging that the battery loss of the electric automobile is excessive, and sending a battery loss signal to an intelligent terminal of a corresponding automobile owner through a processor; when the battery evaluation coefficient DPX satisfies 0-DPX-and-L3, judging that the battery of the electric automobile is normal, and controlling a charging gun to charge the electric automobile through a processor; wherein L3 and L4 are both battery evaluation coefficient thresholds, and L3< L4; the intelligent terminal comprises an intelligent mobile phone, a tablet computer and a notebook computer;
sending the battery evaluation coefficient and the sending record of the battery early warning signal to a data storage module for storage through a processor; the battery early warning signal comprises a battery abnormal signal and a battery loss signal.
Preferably, the safety monitoring unit is used for monitoring the state of charging pile, and includes:
acquiring the total working time and the total installation time of the charging pile, and respectively marking the total working time and the total installation time as GZS and AZS; the total working time is the total time for charging the electric automobile by the charging pile;
by the formula
Figure GDA0003955746420000041
Acquiring a work evaluation coefficient GPX of the charging pile; wherein α 3 is a proportionality coefficient and α 3 is a real number greater than 0;
acquiring an average humidity value inside a charging pile display screen, and marking the average humidity value as SPZ;
acquiring leakage voltage and leakage current of a charging gun of a charging pile, and respectively marking the leakage voltage and the leakage current as XDY and XDL;
acquiring a safety evaluation coefficient APX of the charging pile through a formula APX = alpha 1 × SPZ × ln (alpha 2 × XDL × XDY); wherein alpha 1 and alpha 2 are proportionality coefficients, and both alpha 1 and alpha 2 are real numbers greater than 0;
when the work evaluation coefficient GPX meets the condition that GPX is larger than or equal to L1 and the safety evaluation coefficient APX meets the condition that APX is larger than or equal to L2, judging that the charging pile is scrapped, and sending a charging pile scrapping signal to the data analysis module through the processor; when the work evaluation coefficient GPX meets 0-GPX-cloth-L1 and the safety evaluation coefficient APX meets APX which is not less than L2, judging that the charging pile is in fault, and sending a charging pile fault signal to the data analysis module through the processor; when the work evaluation coefficient GPX meets the condition that GPX is larger than or equal to L1 and the safety evaluation coefficient APX meets the condition that 0-APX-is-less-than-L2, judging that the charging pile is occupied, and sending a charging pile occupation signal to the data analysis module through the processor; the occupied charging pile means that a parking position in front of the charging pile is occupied by a non-electric automobile; wherein L1 and L2 are respectively a work evaluation coefficient threshold and a safety evaluation coefficient threshold, and L1 and L2 are real numbers larger than 0;
sending the work evaluation coefficient and the safety evaluation coefficient of the charging pile and the sending record of the early warning signal of the charging pile to a data storage module for storage through a processor; fill electric pile early warning signal including filling electric pile and scrapping the signal, fill electric pile fault signal and fill electric pile and occupy the signal.
Preferably, the data analysis module is used for carrying out the analysis to charging pile early warning signal, includes:
when the data analysis module receives the early warning signal of the charging pile, acquiring the position of the corresponding charging pile and marking the position as a first pile driving position;
generating a charging pile position schematic diagram by combining a third-party map platform with the first vehicle pile position; a first position mark in the charging pile position schematic diagram is red;
and sending the personnel scheduling signal and the charging pile position schematic diagram to a management scheduling module, and sending the charging pile position schematic diagram to a data storage module for storage.
Preferably, the management scheduling module is used for the scheduling staff to maintain and clear away charging pile, includes:
when the management scheduling module receives the personnel scheduling signal, the real-time position of the worker is obtained, and the real-time position of the worker is marked to be green and displayed on the charging pile position schematic diagram;
marking red on the charging pile position schematic diagram as a third initial position; drawing a circular area by taking the third initial position as a circle center and taking R3 as a radius and marking the circular area as a third circular area; wherein R3>0;
marking green on the charging pile position schematic diagram as a third target position; selecting a worker corresponding to a third target position with the shortest distance to the first initial position as a dispatching target;
sending a maintenance clearing signal and a third initial position to an intelligent terminal of a dispatching target; after the dispatch target receives the maintenance clearing signal, maintaining and clearing the charging pile at the third initial position, and marking the dispatch target receiving the maintenance clearing signal as orange on the charging pile position schematic diagram;
and sending the dispatching record of the dispatching target to a data storage module for storage through the processor.
Preferably, the processor is respectively in communication connection with the data analysis module, the management scheduling module, the data storage module, the vehicle pile linkage module and the vehicle pile monitoring module, and the management scheduling module is respectively in communication connection with the data storage module and the data analysis module.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention is provided with a vehicle pile linkage module which is in communication connection with an intelligent terminal of a vehicle owner and comprises an active mode and a passive mode; the vehicle pile linkage module plans a path between the electric vehicle and the charging pile for the vehicle owner in an active mode and a passive mode respectively, and sends the final path to an intelligent terminal of the vehicle owner, so that the vehicle owner can accurately and timely acquire the position of the charging pile, and the condition that the electric quantity of the electric vehicle battery is insufficient due to negligence of the vehicle owner is avoided;
2. the invention is provided with a pile monitoring module, which comprises a safety monitoring unit and a fault detection unit; the vehicle pile monitoring module can analyze the state of the electric battery according to the charging gun data and the battery data, can complete fault analysis of the charging pile, is beneficial to ensuring the charging safety of the charging pile, and provides detailed state information of the battery for a vehicle owner;
3. the invention is provided with a management scheduling module, which is used for scheduling workers to maintain and remove charging piles; the management scheduling module dispatches the staff according to the first charging pile position and the real-time position of the staff in the charging pile schematic diagram, guarantees that the charging pile which breaks down or is occupied can be timely processed, and meanwhile, visualizes the dispatching process of the staff, and contributes to supervision.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a big data-based electric vehicle charging pile distribution management system includes a processor, a data analysis module, a management scheduling module, a data storage module, a vehicle pile linkage module, and a vehicle pile monitoring module;
the pile driving monitoring module comprises a safety monitoring unit and a fault detection unit;
the pile driving linkage module is in communication connection with an intelligent terminal of a vehicle owner; the pile driving linkage module comprises an active mode and a passive mode; the initiative mode fills electric pile position for car owner initiative provides, includes:
acquiring the position of a charging pile and marking the position as a first initial position; drawing a circular area by taking the first initial position as a circle center and taking the R1 as a radius and marking the circular area as a first circular area; wherein R1>0;
acquiring the battery electric quantity of the electric automobile in the first circular area, judging that the battery electric quantity of the electric automobile is low when the battery electric quantity is lower than an electric quantity set value, acquiring the position of the electric automobile and marking the position as a first target position;
planning paths of the first initial position and the first target position through a third-party map platform and marking the first target path; the third-party map platform comprises a Baidu map, a Gaode map and an Tencent map;
sending the first target path to an intelligent terminal of the electric automobile corresponding to the automobile owner in the first circular area; the intelligent terminal opens the data receiving authority;
the passive mode is used for the car owner to obtain the position of filling electric pile through intelligent terminal, includes:
the vehicle owner enters a charging pile position searching interface through the intelligent terminal, and the position of the vehicle owner is marked as a second initial position;
drawing a circular area by taking the second initial position as a circle center and taking R2 as a radius and marking the circular area as a second circular area; wherein R2>0;
acquiring the position of a charging pile in a second circular area and marking the position of the charging pile as a second target position;
planning paths of a second initial position and a second target position through a third party map platform and marking a second target path i, i =1,2, … …, n;
acquiring the distance between the second target path i and the second initial position and marking as JLi; acquiring the congestion degree of the second target path i and marking the congestion degree as YCi;
obtaining a path evaluation coefficient LPXi by a formula LPXi = β 1 × JLi × YCi + β 2; wherein β 1 and β 2 are proportionality coefficients, and both β 1 and β 2 are real numbers greater than 0;
selecting a path with the minimum path evaluation coefficient and marking the path as a final path;
and sending the final path to the intelligent terminal of the vehicle owner.
Further, the fault detection unit is used for monitoring the fault of the electric automobile battery, and comprises:
when a charging gun of the intelligent charging pile is connected with a charging port of the electric automobile, acquiring output current and output voltage of the charging gun of the charging pile, and respectively marking the output current and the output voltage as SDL and SDY;
acquiring battery data of the electric automobile, wherein the battery data comprises terminal voltage and electrolyte concentration values of the battery, and respectively marking the terminal voltage and the electrolyte concentration values of the battery as DDY and DNZ;
by the formula
Figure GDA0003955746420000081
Obtaining a battery evaluation coefficient DPX, wherein alpha 4 is a proportionality coefficient, and alpha 4 is a real number greater than 0;
when the battery evaluation coefficient DPX meets the condition that the DPX is not less than L4, judging that the battery of the electric automobile is abnormal, and sending a battery abnormal signal to an intelligent terminal of a corresponding automobile owner through a processor; when the battery evaluation coefficient DPX meets the condition that DPX is not less than L3 and less than L4, judging that the battery of the electric automobile is excessively consumed, and sending a battery consumption signal to an intelligent terminal of a corresponding automobile owner through a processor; when the battery evaluation coefficient DPX satisfies 0-DPX-and-L3, judging that the battery of the electric automobile is normal, and controlling a charging gun to charge the electric automobile through a processor; wherein L3 and L4 are both battery evaluation coefficient thresholds, and L3< L4; the intelligent terminal comprises an intelligent mobile phone, a tablet computer and a notebook computer;
sending the battery evaluation coefficient and the sending record of the battery early warning signal to a data storage module for storage through a processor; the battery early warning signal comprises a battery abnormal signal and a battery loss signal.
Further, the safety monitoring unit is used for monitoring the state of filling electric pile, includes:
acquiring the total working time and the total installation time of the charging pile, and respectively marking the total working time and the total installation time as GZS and AZS; the total working time is the total time for charging the electric automobile by the charging pile;
by the formula
Figure GDA0003955746420000091
Acquiring a work evaluation coefficient GPX of the charging pile; wherein α 3 is a proportionality coefficient and α 3 is a real number greater than 0;
acquiring an average humidity value inside a charging pile display screen, and marking the average humidity value as SPZ;
acquiring leakage voltage and leakage current of a charging gun of a charging pile, and respectively marking the leakage voltage and the leakage current as XDY and XDL;
acquiring a safety evaluation coefficient APX of the charging pile through a formula APX = alpha 1 × SPZ × ln (alpha 2 × XDL × XDY); wherein alpha 1 and alpha 2 are proportionality coefficients, and both alpha 1 and alpha 2 are real numbers greater than 0;
when the work evaluation coefficient GPX meets the condition that GPX is larger than or equal to L1 and the safety evaluation coefficient APX meets the condition that APX is larger than or equal to L2, judging that the charging pile is scrapped, and sending a charging pile scrapping signal to the data analysis module through the processor; when the work evaluation coefficient GPX meets 0-GPX-cloth-L1 and the safety evaluation coefficient APX meets APX which is not less than L2, judging that the charging pile is in fault, and sending a charging pile fault signal to the data analysis module through the processor; when the work evaluation coefficient GPX meets the condition that GPX is larger than or equal to L1 and the safety evaluation coefficient APX meets the condition that 0-APX-is-less-than-L2, judging that the charging pile is occupied, and sending a charging pile occupation signal to the data analysis module through the processor; the occupied charging pile means that a parking position in front of the charging pile is occupied by a non-electric automobile; wherein L1 and L2 are respectively a work evaluation coefficient threshold and a safety evaluation coefficient threshold, and L1 and L2 are real numbers larger than 0;
sending the work evaluation coefficient and the safety evaluation coefficient of the charging pile and the sending record of the charging pile early warning signal to a data storage module for storage through a processor; fill electric pile early warning signal including filling electric pile and scrapping the signal, fill electric pile fault signal and fill electric pile and occupy the signal.
Further, data analysis module is used for filling electric pile early warning signal and carries out the analysis, includes:
when the data analysis module receives the charging pile early warning signal, acquiring the position of the corresponding charging pile and marking the position as a first pile driving position;
generating a charging pile position schematic diagram by combining a third-party map platform with the first vehicle pile position; a first position mark in the charging pile position schematic diagram is red;
and sending the personnel scheduling signal and the charging pile position schematic diagram to a management scheduling module, and sending the charging pile position schematic diagram to a data storage module for storage.
Further, the management scheduling module is used for the scheduling staff to keep in repair and clear away charging pile, includes:
when the management scheduling module receives the personnel scheduling signal, the real-time position of the worker is obtained, and the real-time position of the worker is marked to be green and displayed on the charging pile position schematic diagram;
marking red on the charging pile position schematic diagram as a third initial position; taking the third initial position as the center of a circle and R3 as the radius to draw a circular area and mark the circular area as a third circular area; wherein R3>0;
marking green on the charging pile position schematic diagram as a third target position; selecting a worker corresponding to a third target position with the shortest distance to the first initial position as a dispatching target;
sending a maintenance clearing signal and a third initial position to an intelligent terminal of a dispatching target; after the dispatching target receives the maintenance clearing signal, maintaining and clearing the charging pile at the third initial position, and marking the dispatching target receiving the maintenance clearing signal as orange on the charging pile position schematic diagram;
and sending the dispatching record of the dispatching target to a data storage module for storage through the processor.
Furthermore, the processor is respectively in communication connection with the data analysis module, the management scheduling module, the data storage module, the vehicle pile linkage module and the vehicle pile monitoring module, and the management scheduling module is respectively in communication connection with the data storage module and the data analysis module.
The above formulas are all calculated by removing dimensions and taking values thereof, the formula is one closest to the real situation obtained by collecting a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The working principle of the invention is as follows:
acquiring a charging pile position and marking the charging pile position as a first initial position; drawing a circular area by taking the first initial position as a circle center and taking the R1 as a radius and marking the circular area as a first circular area; acquiring the battery electric quantity of the electric automobile in the first circular area, judging that the battery electric quantity of the electric automobile is low when the battery electric quantity is lower than an electric quantity set value, acquiring the position of the electric automobile and marking the position as a first target position; planning paths of a first initial position and a first target position through a third-party map platform and marking the first target path; sending the first target path to an intelligent terminal of the electric automobile corresponding to the automobile owner in the first circular area;
the vehicle owner enters a charging pile position searching interface through the intelligent terminal, and the position of the vehicle owner is marked as a second initial position; drawing a circular area by taking the second initial position as a circle center and taking R2 as a radius and marking the circular area as a second circular area; acquiring the position of a charging pile in a second circular area and marking the position of the charging pile as a second target position; planning paths of a second initial position and a second target position through a third-party map platform and marking a second target path i; acquiring a distance JLi between the second target path i and the second initial position; acquiring a congestion degree YCi of a second target path i; acquiring a path evaluation coefficient LPxi; selecting a path with the minimum path evaluation coefficient and marking the path as a final path; sending the final path to an intelligent terminal of the vehicle owner;
when a charging gun of the intelligent charging pile is connected with a charging port of the electric automobile, acquiring output current and output voltage of the charging gun of the charging pile, and acquiring battery data of the electric automobile; acquiring a battery evaluation coefficient DPX; when the battery evaluation coefficient DPX meets the condition that the DPX is larger than or equal to L4, judging that the battery of the electric automobile is abnormal, and sending a battery abnormal signal to an intelligent terminal of a corresponding automobile owner through a processor; when the battery evaluation coefficient DPX meets that the DPX is not less than L3 and less than L4, judging that the battery loss of the electric automobile is excessive, and sending a battery loss signal to an intelligent terminal of a corresponding automobile owner through a processor; when the battery evaluation coefficients DPX meet 0-DPX-L3, judging that the battery of the electric automobile is normal, and controlling a charging gun to charge the electric automobile through a processor;
acquiring the total working time and the total installation time of the charging pile, and acquiring a working evaluation coefficient GPX of the charging pile; acquiring an average humidity value SPZ inside a charging pile display screen; acquiring leakage voltage and leakage current of a charging gun of a charging pile, and acquiring a safety evaluation coefficient APX of the charging pile; when the work evaluation coefficient GPX meets the condition that GPX is larger than or equal to L1 and the safety evaluation coefficient APX meets the condition that APX is larger than or equal to L2, judging that the charging pile is scrapped, and sending a charging pile scrapping signal to the data analysis module through the processor; when the work evaluation coefficient GPX meets 0-GPX-cloth-L1 and the safety evaluation coefficient APX meets APX which is not less than L2, judging that the charging pile is in fault, and sending a charging pile fault signal to the data analysis module through the processor; when the work evaluation coefficient GPX meets the condition that GPX is larger than or equal to L1 and the safety evaluation coefficient APX meets the condition that 0-APX-is-less-than-L2, judging that the charging pile is occupied, and sending a charging pile occupation signal to the data analysis module through the processor;
when the data analysis module receives the early warning signal of the charging pile, acquiring the position of the corresponding charging pile and marking the position as a first pile driving position; generating a charging pile position schematic diagram by combining a third-party map platform with the first vehicle pile position; sending a personnel scheduling signal and a charging pile position schematic diagram to a management scheduling module, and sending the charging pile position schematic diagram to a data storage module for storage;
when the management scheduling module receives the personnel scheduling signal, the real-time position of the worker is obtained, and the real-time position of the worker is marked to be green and displayed on the charging pile position schematic diagram; marking red on the charging pile position schematic diagram as a third initial position; drawing a circular area by taking the third initial position as a circle center and taking R3 as a radius and marking the circular area as a third circular area; marking green on the charging pile position schematic diagram as a third target position; selecting a worker corresponding to a third target position with the shortest distance to the first initial position as a dispatching target; sending a maintenance clearing signal and a third initial position to an intelligent terminal of a dispatching target; and after the dispatch target receives the maintenance clearing signal, the charging pile at the third initial position is maintained and cleared, and meanwhile, the dispatch target receiving the maintenance clearing signal is marked to be orange on the charging pile position schematic diagram.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.

Claims (3)

1. An electric vehicle charging pile distribution management system based on big data is characterized by comprising a processor, a data analysis module, a management scheduling module, a data storage module, a vehicle pile linkage module and a vehicle pile monitoring module;
the pile driving monitoring module comprises a safety monitoring unit and a fault detection unit;
the vehicle pile linkage module is in communication connection with an intelligent terminal of a vehicle owner; the pile driving linkage module comprises an active mode and a passive mode; the initiative mode initiatively provides the position of filling electric pile for the owner, includes:
acquiring a charging pile position and marking the charging pile position as a first initial position; drawing a circular area by taking the first initial position as a circle center and taking the R1 as a radius and marking the circular area as a first circular area; wherein R1 is greater than 0;
acquiring the battery electric quantity of the electric automobile in the first circular area, judging that the battery electric quantity of the electric automobile is low when the battery electric quantity is lower than an electric quantity set value, acquiring the position of the electric automobile and marking the position as a first target position;
planning paths of a first initial position and a first target position through a third-party map platform and marking the first target path; the third-party map platform comprises a Baidu map, a Gaode map and an Tencent map;
sending the first target path to an intelligent terminal of the electric automobile corresponding to the automobile owner in the first circular area;
the passive mode is used for the car owner to obtain the position of filling electric pile through intelligent terminal, includes:
the vehicle owner enters a charging pile position searching interface through the intelligent terminal, and the position of the vehicle owner is marked as a second initial position;
drawing a circular area by taking the second initial position as a circle center and taking R2 as a radius and marking the circular area as a second circular area; wherein R2 is greater than 0;
acquiring the position of a charging pile in a second circular area and marking the position of the charging pile as a second target position;
planning paths of a second initial position and a second target position through a third party map platform and marking a second target path i, i =1,2, … …, n;
acquiring the distance between the second target path i and the second initial position and marking as JLi; acquiring the congestion degree of the second target path i and marking the congestion degree as YCi;
obtaining a path evaluation coefficient LPXi by a formula LPXi = β 1 × JLi × YCi + β 2; wherein β 1 and β 2 are proportionality coefficients, and both β 1 and β 2 are real numbers greater than 0;
selecting a path with the minimum path evaluation coefficient and marking the path as a final path;
sending the final path to an intelligent terminal of the vehicle owner;
the fault detection unit is used for monitoring the fault of the electric automobile battery, and comprises:
when a charging gun of the intelligent charging pile is connected with a charging port of the electric automobile, acquiring output current and output voltage of the charging gun of the charging pile, and respectively marking the output current and the output voltage as SDL and SDY;
acquiring battery data of the electric automobile, wherein the battery data comprises terminal voltage and electrolyte concentration values of the battery, and respectively marking the terminal voltage and the electrolyte concentration values of the battery as DDY and DNZ;
by the formula
Figure FDA0003879746330000021
Obtaining a battery evaluation coefficient DPX, wherein alpha 4 is a proportionality coefficient, and alpha 4 is a real number greater than 0;
when the battery evaluation coefficient DPX meets the condition that the DPX is larger than or equal to L4, judging that the battery of the electric automobile is abnormal, and sending a battery abnormal signal to an intelligent terminal of a corresponding automobile owner through a processor; when the battery evaluation coefficient DPX meets the condition that the DPX is not less than L3 and less than L4, judging that the battery loss of the electric automobile is excessive, and sending a battery loss signal to an intelligent terminal of a corresponding automobile owner through a processor; when the battery evaluation coefficient DPX meets the condition that DPX is more than 0 and less than L3, judging that the battery of the electric automobile is normal, and controlling a charging gun to charge the electric automobile through a processor; wherein L3 and L4 are both battery evaluation coefficient threshold values, and L3 is less than L4; the intelligent terminal comprises an intelligent mobile phone, a tablet computer and a notebook computer;
sending the sending records of the battery evaluation coefficient and the battery early warning signal to a data storage module for storage through a processor; the battery early warning signal comprises a battery abnormal signal and a battery loss signal;
safety monitoring unit is used for monitoring the state of filling electric pile, includes:
acquiring the total working time and the total installation time of the charging pile, and respectively marking the total working time and the total installation time as GZS and AZS; the total working time is the total time for charging the electric automobile by the charging pile;
by the formula
Figure FDA0003879746330000031
Acquiring a work evaluation coefficient GPX of the charging pile; wherein α 3 is a proportionality coefficient and α 3 is a real number greater than 0;
acquiring an average humidity value inside a charging pile display screen, and marking the average humidity value as SPZ;
acquiring leakage voltage and leakage current of a charging gun of a charging pile, and respectively marking the leakage voltage and the leakage current as XDY and XDL;
acquiring a safety evaluation coefficient APX of the charging pile through a formula APX = alpha 1 × SPZ × ln (alpha 2 × XDL × XDY); wherein alpha 1 and alpha 2 are proportionality coefficients, and both alpha 1 and alpha 2 are real numbers greater than 0;
when the work evaluation coefficient GPX meets the condition that GPX is larger than or equal to L1 and the safety evaluation coefficient APX meets the condition that APX is larger than or equal to L2, judging that the charging pile is scrapped, and sending a charging pile scrapping signal to the data analysis module through the processor; when the work evaluation coefficient GPX is more than 0 and less than GPX and less than L1 and the safety evaluation coefficient APX is more than or equal to APX and more than or equal to L2, judging that the charging pile is in failure, and sending a charging pile failure signal to the data analysis module through the processor; when the work evaluation coefficient GPX meets the condition that GPX is larger than or equal to L1 and the safety evaluation coefficient APX meets the condition that APX is larger than 0 and smaller than L2, judging that the charging pile is occupied, and sending a charging pile occupation signal to the data analysis module through the processor; wherein L1 and L2 are respectively a work evaluation coefficient threshold and a safety evaluation coefficient threshold, and L1 and L2 are real numbers larger than 0;
sending the work evaluation coefficient and the safety evaluation coefficient of the charging pile and the sending record of the early warning signal of the charging pile to a data storage module for storage through a processor; fill electric pile early warning signal including filling electric pile and scrapping the signal, fill electric pile fault signal and fill electric pile and occupy the signal.
2. The big data-based electric vehicle charging pile distribution management system according to claim 1, wherein the data analysis module is used for analyzing a charging pile early warning signal, and comprises:
when the data analysis module receives the early warning signal of the charging pile, acquiring the position of the corresponding charging pile and marking the position as a first pile driving position;
generating a charging pile position schematic diagram by combining a third-party map platform with the first vehicle pile position; a first position mark in the charging pile position schematic diagram is red;
and sending the personnel scheduling signal and the charging pile position schematic diagram to a management scheduling module, and sending the charging pile position schematic diagram to a data storage module for storage.
3. The big-data-based electric vehicle charging pile distribution management system according to claim 1, wherein the management scheduling module is used for scheduling workers to maintain and clear charging piles, and comprises:
when the management scheduling module receives the personnel scheduling signal, the real-time position of the worker is obtained, and the real-time position of the worker is marked to be green and displayed on the charging pile position schematic diagram;
marking red on the charging pile position schematic diagram as a third initial position; drawing a circular area by taking the third initial position as a circle center and taking R3 as a radius and marking the circular area as a third circular area; wherein R3 is greater than 0;
marking green on the charging pile position schematic diagram as a third target position; selecting a worker corresponding to a third target position with the shortest distance to the first initial position as a dispatching target;
sending a maintenance clearing signal and a third initial position to an intelligent terminal of a dispatching target; after the dispatching target receives the maintenance clearing signal, maintaining and clearing the charging pile at the third initial position, and marking the dispatching target receiving the maintenance clearing signal as orange on the charging pile position schematic diagram;
and sending the dispatching record of the dispatching target to a data storage module for storage through the processor.
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