CN117507904A - Charging pile automatic detection operation and maintenance system based on Internet of things - Google Patents
Charging pile automatic detection operation and maintenance system based on Internet of things Download PDFInfo
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- CN117507904A CN117507904A CN202311372896.1A CN202311372896A CN117507904A CN 117507904 A CN117507904 A CN 117507904A CN 202311372896 A CN202311372896 A CN 202311372896A CN 117507904 A CN117507904 A CN 117507904A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 87
- 238000001514 detection method Methods 0.000 title claims abstract description 58
- 230000032683 aging Effects 0.000 claims abstract description 90
- 238000000034 method Methods 0.000 claims abstract description 85
- 238000004458 analytical method Methods 0.000 claims abstract description 51
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Classifications
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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
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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
- B60L53/30—Constructional details of charging stations
- B60L53/31—Charging columns specially adapted for electric vehicles
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention belongs to the field of operation and maintenance of charging piles, relates to a data analysis technology, and is used for solving the problem that an existing automatic detection operation and maintenance system of the charging piles cannot be combined with operation data of the charging piles to analyze the aging state of the charging piles, in particular to an automatic detection operation and maintenance system of the charging piles based on the Internet of things, which comprises a detection operation and maintenance platform, wherein the detection operation and maintenance platform is in communication connection with an effective rate detection module, a state analysis module, an aging analysis module and a storage module; the efficiency detection module is used for detecting and analyzing the charging efficiency of the charging pile: after the charging pile finishes charging, acquiring the discharge amount of the charging pile in the charging process and the charge amount of the vehicle in the charging process; the invention can detect the charging efficiency of the charging pile, and monitors the charging state and the charging efficiency of the charging pile by comprehensively analyzing parameters such as the charging amount, the discharging amount, the charging time length and the like, thereby timely giving an early warning when the charging state of the charging pile is abnormal or the charging efficiency is abnormal.
Description
Technical Field
The invention belongs to the field of operation and maintenance of charging piles, relates to a data analysis technology, and particularly relates to an automatic detection operation and maintenance system of charging piles based on the Internet of things.
Background
The charging pile is a charging device for providing energy for electric vehicles, has a function similar to that of an oiling machine in a gas station, can be fixed on the ground or on a wall, is installed in a parking lot or a charging station of a public building and a residential community, and can charge various types of electric vehicles according to different voltage levels.
The existing automatic detection operation and maintenance system for the charging pile can only perform early warning when the operation of the charging pile is abnormal, but cannot analyze the aging state of the charging pile by combining the operation data of the charging pile, so that the failure prediction of the charging pile cannot be performed, and the phenomenon that the high-frequency failure occurs in the charging pile due to aging occurs.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a charging pile automatic detection operation and maintenance system based on the Internet of things, which is used for solving the problem that the existing charging pile automatic detection operation and maintenance system cannot analyze the aging state of a charging pile by combining the operation data of the charging pile;
the technical problems to be solved by the invention are as follows: how to provide a charging pile automatic detection operation and maintenance system based on the Internet of things, which can analyze the aging state of the charging pile by combining the operation data of the charging pile.
The aim of the invention can be achieved by the following technical scheme:
the automatic detection operation and maintenance system for the charging pile based on the Internet of things comprises a detection operation and maintenance platform, wherein the detection operation and maintenance platform is in communication connection with an effective rate detection module, a state analysis module, an aging analysis module and a storage module;
the efficiency detection module is used for detecting and analyzing the charging efficiency of the charging pile: after the charging pile is charged, acquiring the discharge amount of the charging pile in the charging process and the charge amount of the vehicle in the charging process, marking the ratio of the charge amount to the discharge amount as a charging coefficient, acquiring a charging threshold value through a storage module, comparing the charging coefficient with the charging threshold value, and judging whether the charging state of the charging pile meets the requirement or not through a comparison result;
the state analysis module is used for detecting and analyzing the running state of the charging pile: acquiring surface temperature data BW, air temperature data KW and line temperature data XW of the charging pile in the charging process, and obtaining a charging coefficient CW of the charging pile by carrying out numerical calculation on the surface temperature data BW, the air temperature data KW and the line temperature data XW; the method comprises the steps that a storage module obtains a charging threshold CWmax, a charging coefficient CW at the time of charging end is compared with the charging threshold CWmax, and whether the running state of a charging pile meets the requirement is judged according to a comparison result;
the aging analysis module is used for detecting and analyzing the aging state of the charging pile: the method comprises the steps of acquiring a charging range and a charging duration range through a storage module, marking a charging process of which the charging duration is within the charging range and the charging duration range as an analysis process, establishing a rectangular coordinate system by taking the charging duration as an X axis and the charging coefficient CW as a Y axis, drawing a closed graph in the rectangular coordinate system through the charging coefficient CW of the analysis process, marking the area value of the closed graph as an aging coefficient of a charging pile, and judging whether the aging state of the charging pile meets the requirement or not through the aging coefficient.
As a preferred embodiment of the present invention, the specific process of comparing the charging coefficient with the charging threshold value includes: if the charging coefficient is smaller than the charging threshold, judging that the charging state of the charging pile does not meet the requirement, generating a charging maintenance signal and sending the charging maintenance signal to a detection operation and maintenance platform, and sending the charging maintenance signal to a mobile phone terminal of a manager after the detection operation and maintenance platform receives the charging maintenance signal; if the charging coefficient is greater than or equal to the charging threshold, judging that the charging state of the charging pile meets the requirement, marking the ratio of the charging amount to the duration of the charging process as an efficiency coefficient, acquiring the efficiency threshold through the storage module, comparing the efficiency coefficient with the efficiency threshold, and judging whether the charging efficiency of the charging pile meets the requirement or not through a comparison result.
As a preferred embodiment of the present invention, the specific process of comparing the efficiency coefficient with the efficiency threshold value includes: if the efficiency coefficient is smaller than the efficiency threshold, judging that the charging efficiency of the charging pile does not meet the requirement, generating an efficiency maintenance signal, sending the efficiency maintenance signal to a detection operation and maintenance platform, and sending the efficiency maintenance signal to a mobile phone terminal of a manager after the detection operation and maintenance platform receives the efficiency maintenance signal; and if the efficiency coefficient is greater than or equal to the efficiency threshold, judging that the charging efficiency of the charging pile meets the requirement.
As a preferred embodiment of the present invention, the surface temperature data BW is a casing surface temperature value of the charging pile, the air temperature data KW is an air temperature value inside the casing of the charging pile, and the line temperature data XW is a charging line surface temperature value of the charging pile.
As a preferred embodiment of the present invention, the specific process of comparing the charging coefficient CW with the charging threshold CWmax includes: if the charging coefficient CW is smaller than the charging threshold CWmax, judging that the running state of the charging pile meets the requirement; if the charging coefficient CW is greater than or equal to the charging threshold CWmax, determining that the running state of the charging pile does not meet the requirement, acquiring a duration threshold through a storage module, and comparing the charging duration with the duration threshold: if the charging time length is smaller than the time length threshold value, generating a state abnormality signal and sending the state abnormality signal to the overhaul operation and maintenance platform, and sending the state abnormality signal to a mobile phone terminal of a manager after the overhaul operation and maintenance platform receives the state abnormality signal; if the charging time length is greater than or equal to the time length threshold value, generating a cutting protection signal and sending the cutting protection signal to the detection operation and maintenance platform, and cutting off a charging circuit of the charging pile after the detection operation and maintenance platform receives the cutting protection signal.
As a preferred embodiment of the present invention, the specific process of drawing a closed figure in a rectangular coordinate system by the temperature coefficient CW of the analysis process includes: dividing the charging time length into a plurality of charging time periods, marking a plurality of analysis points in a rectangular coordinate system by taking the starting time of the charging time period as an abscissa and the charging temperature coefficient CW of the charging pile at the ending time of the charging time period as an ordinate, sequentially connecting the analysis points from left to right to obtain an analysis fold line, taking the rightmost analysis point as an endpoint, making a vertical line to an X axis and marking the analysis fold line as a termination line segment, and forming a closed graph by the analysis fold line, the termination line segment and the X axis.
As a preferred embodiment of the present invention, the specific process for determining whether the aging state of the charging pile meets the requirement includes: the aging threshold is obtained through the storage module, and the aging coefficient of the charging pile is compared with the aging threshold: if the aging coefficient is smaller than the aging threshold, judging that the aging state of the charging pile meets the requirement; if the aging coefficient is greater than or equal to the aging threshold value, judging that the aging state of the charging pile does not meet the requirement, generating an aging early warning signal, sending the aging early warning signal to the overhaul operation and maintenance platform, and sending the aging early warning signal to a mobile phone terminal of a manager after the overhaul operation and maintenance platform receives the aging early warning signal.
As a preferred implementation mode of the invention, the working method of the automatic detection operation and maintenance system of the charging pile based on the Internet of things comprises the following steps:
step one: detecting and analyzing the charging efficiency of the charging pile: after the charging pile is charged, acquiring the discharge amount of the charging pile in the charging process and the charge amount of the vehicle in the charging process, marking the ratio of the charge amount to the discharge amount as a charging coefficient, marking the ratio of the charge amount to the duration of the charging process as an efficiency coefficient, and judging whether the charging state and the charging efficiency of the charging pile meet the requirements or not through the charging coefficient and the efficiency coefficient;
step two: detecting and analyzing the running state of the charging pile: acquiring surface temperature data BW, air temperature data KW and line temperature data XW of the charging pile in the charging process, performing numerical calculation to obtain a charging coefficient CW, and judging whether the running state of the charging pile meets the requirement by combining the charging coefficient CW and the charging time length;
step three: and detecting and analyzing the aging state of the charging pile: the method comprises the steps of obtaining a charging range and a charging duration range through a storage module, marking a charging process of which the charging coefficient CW and the charging duration are respectively in the charging range and the charging duration range as an analysis process, obtaining an aging coefficient of a charging pile in the analysis process, and judging whether the aging state of the charging pile meets the requirement or not through the aging coefficient.
The invention has the following beneficial effects:
1. the efficiency detection module can detect the charging efficiency of the charging pile, and after the charging pile is charged, the charging state and the charging efficiency of the charging pile are monitored by comprehensively analyzing parameters such as the charging quantity, the discharging quantity and the charging time length, so that early warning is timely carried out when the charging state of the charging pile is abnormal or the charging efficiency is abnormal;
2. the state analysis module can detect and analyze the running state of the charging pile, comprehensively analyze and calculate each temperature data in the running process of the charging pile to obtain a charging coefficient, and feed back the heating state of the charging pile in the charging process through the charging coefficient, so that early warning is carried out when the running state of the charging pile is abnormal, a corresponding state abnormality signal is generated, and abnormality processing is carried out timely;
3. the aging state of the charging pile can be detected and analyzed through the aging analysis module, the charging process with the charging coefficient and the charging time length meeting the requirements is screened, then a closed graph is drawn according to the charging coefficient in the analysis process to obtain the aging coefficient, the aging state of the charging pile is monitored through the aging coefficient, early warning is carried out when the aging of the charging pile is abnormal, and the phenomenon that the charging pile has high-frequency faults due to aging is avoided.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
Example 1
As shown in FIG. 1, the automatic detection operation and maintenance system for the charging pile based on the Internet of things comprises a detection operation and maintenance platform, and the detection operation and maintenance platform is in communication connection with an effective rate detection module, a state analysis module, an aging analysis module and a storage module.
The efficiency detection module is used for detecting and analyzing the charging efficiency of the charging pile: after the charging pile is charged, the discharging amount of the charging pile in the charging process and the charging amount of the vehicle in the charging process are obtained, the ratio of the charging amount to the discharging amount is marked as a charging coefficient, a charging threshold is obtained through the storage module, and the charging coefficient is compared with the charging threshold: if the charging coefficient is smaller than the charging threshold, judging that the charging state of the charging pile does not meet the requirement, generating a charging maintenance signal and sending the charging maintenance signal to a detection operation and maintenance platform, and sending the charging maintenance signal to a mobile phone terminal of a manager after the detection operation and maintenance platform receives the charging maintenance signal; if the charging coefficient is greater than or equal to the charging threshold, judging that the charging state of the charging pile meets the requirement, marking the ratio of the charging amount to the duration of the charging process as an efficiency coefficient, acquiring the efficiency threshold through the storage module, and comparing the efficiency coefficient with the efficiency threshold: if the efficiency coefficient is smaller than the efficiency threshold, judging that the charging efficiency of the charging pile does not meet the requirement, generating an efficiency maintenance signal, sending the efficiency maintenance signal to a detection operation and maintenance platform, and sending the efficiency maintenance signal to a mobile phone terminal of a manager after the detection operation and maintenance platform receives the efficiency maintenance signal; if the efficiency coefficient is greater than or equal to the efficiency threshold, judging that the charging efficiency of the charging pile meets the requirement; the method comprises the steps of detecting the charging efficiency of the charging pile, and monitoring the charging state and the charging efficiency of the charging pile by comprehensively analyzing parameters such as the charging quantity, the discharging quantity and the charging time after the charging pile is charged, so that early warning is timely carried out when the charging state or the charging efficiency of the charging pile is abnormal.
The state analysis module is used for detecting and analyzing the running state of the charging pile: obtaining surface temperature data BW, air temperature data KW and line temperature data XW of a charging pile in a charging process, wherein the surface temperature data BW is a shell surface temperature value of the charging pile, the air temperature data KW is an air temperature value in a shell of the charging pile, the line temperature data XW is a charging line surface temperature value of the charging pile, and a charging coefficient CW of the charging pile is obtained through a formula CW=α1BW+α2KW+α3xW, wherein α1, α2 and α3 are proportionality coefficients, and α1 > α2 > α3 > 1; the storage module acquires a charging threshold CWmax, and compares a charging coefficient CW at the time of charging end with the charging threshold CWmax: if the charging coefficient CW is smaller than the charging threshold CWmax, judging that the running state of the charging pile meets the requirement; if the charging coefficient CW is greater than or equal to the charging threshold CWmax, determining that the running state of the charging pile does not meet the requirement, acquiring a duration threshold through a storage module, and comparing the charging duration with the duration threshold: if the charging time length is smaller than the time length threshold value, generating a state abnormality signal and sending the state abnormality signal to the overhaul operation and maintenance platform, and sending the state abnormality signal to a mobile phone terminal of a manager after the overhaul operation and maintenance platform receives the state abnormality signal; if the charging time length is greater than or equal to the time length threshold value, generating a cut-off protection signal and sending the cut-off protection signal to the detection operation and maintenance platform, and cutting off a charging circuit of the charging pile after the detection operation and maintenance platform receives the cut-off protection signal; the method comprises the steps of detecting and analyzing the running state of the charging pile, comprehensively analyzing and calculating various temperature data in the running process of the charging pile to obtain a charging coefficient, feeding back the heating state of the charging pile in the charging process through the charging coefficient, and accordingly early warning when the running state of the charging pile is abnormal, generating a corresponding state abnormality signal and timely carrying out abnormality processing.
The aging analysis module is used for detecting and analyzing the aging state of the charging pile: the method comprises the steps of acquiring a charging range and a time length range through a storage module, marking a charging process with a charging coefficient CW and a charging time length respectively in the charging range and the time length range as an analysis process, establishing a rectangular coordinate system with the charging time length as an X axis and the charging coefficient CW as a Y axis, dividing the charging time length into a plurality of charging time periods, marking a plurality of analysis points in the rectangular coordinate system with the starting time of the charging time periods as an abscissa and the charging coefficient CW of a charging pile at the ending time of the charging time periods as an ordinate, sequentially connecting the analysis points from left to right to obtain an analysis broken line, making a perpendicular line to the X axis with the right-most analysis point as an endpoint and marking the analysis broken line as a termination line segment, forming a closed graph with the analysis broken line segment, marking the area value of the closed graph as the aging coefficient of the charging pile through the storage module, and comparing the aging coefficient of the charging pile with an aging threshold value: if the aging coefficient is smaller than the aging threshold, judging that the aging state of the charging pile meets the requirement; if the aging coefficient is greater than or equal to the aging threshold value, judging that the aging state of the charging pile does not meet the requirement, generating an aging early warning signal and sending the aging early warning signal to an overhaul operation and maintenance platform, and sending the aging early warning signal to a mobile phone terminal of a manager after the overhaul operation and maintenance platform receives the aging early warning signal; detecting and analyzing the aging state of the charging pile, screening the charging process with the charging coefficient and the charging time length meeting the requirements, drawing a closed graph according to the charging coefficient in the analysis process to obtain the aging coefficient, monitoring the aging state of the charging pile through the aging coefficient, and carrying out early warning when the aging of the charging pile is abnormal, so that the phenomenon that the charging pile has high-frequency faults due to aging is avoided.
Example two
As shown in fig. 2, the automatic detection operation and maintenance method for the charging pile based on the internet of things comprises the following steps:
step one: detecting and analyzing the charging efficiency of the charging pile: after the charging pile is charged, acquiring the discharge amount of the charging pile in the charging process and the charge amount of the vehicle in the charging process, marking the ratio of the charge amount to the discharge amount as a charging coefficient, marking the ratio of the charge amount to the duration of the charging process as an efficiency coefficient, and judging whether the charging state and the charging efficiency of the charging pile meet the requirements or not through the charging coefficient and the efficiency coefficient;
step two: detecting and analyzing the running state of the charging pile: acquiring surface temperature data BW, air temperature data KW and line temperature data XW of the charging pile in the charging process, performing numerical calculation to obtain a charging coefficient CW, and judging whether the running state of the charging pile meets the requirement by combining the charging coefficient CW and the charging time length;
step three: and detecting and analyzing the aging state of the charging pile: the method comprises the steps of obtaining a charging range and a charging duration range through a storage module, marking a charging process of which the charging coefficient CW and the charging duration are respectively in the charging range and the charging duration range as an analysis process, obtaining an aging coefficient of a charging pile in the analysis process, and judging whether the aging state of the charging pile meets the requirement or not through the aging coefficient.
When the charging pile automatic detection operation and maintenance system based on the Internet of things is in operation, after the charging pile is charged, the discharging amount of the charging pile in the charging process and the charging amount of a vehicle in the charging process are obtained, the ratio of the charging amount to the discharging amount is marked as a charging coefficient, the ratio of the charging amount to the duration of the charging process is marked as an efficiency coefficient, and whether the charging state and the charging efficiency of the charging pile meet requirements or not is judged through the charging coefficient and the efficiency coefficient; acquiring surface temperature data BW, air temperature data KW and line temperature data XW of the charging pile in the charging process, performing numerical calculation to obtain a charging coefficient CW, and judging whether the running state of the charging pile meets the requirement by combining the charging coefficient CW and the charging time length; the method comprises the steps of obtaining a charging range and a charging duration range through a storage module, marking a charging process of which the charging coefficient CW and the charging duration are respectively in the charging range and the charging duration range as an analysis process, obtaining an aging coefficient of a charging pile in the analysis process, and judging whether the aging state of the charging pile meets the requirement or not through the aging coefficient.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula cw=α1×bw+α2×kw+α3×xw; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding temperature filling coefficient for each group of sample data; substituting the set temperature-filling coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 of 4.28, 2.65 and 2.16 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding temperature-filling coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the temperature charging coefficient is in direct proportion to the value of the air temperature data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, 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 present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. 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 preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. The automatic detection operation and maintenance system for the charging pile based on the Internet of things is characterized by comprising a detection operation and maintenance platform, wherein the detection operation and maintenance platform is in communication connection with an effective rate detection module, a state analysis module, an aging analysis module and a storage module;
the efficiency detection module is used for detecting and analyzing the charging efficiency of the charging pile: after the charging pile is charged, acquiring the discharge amount of the charging pile in the charging process and the charge amount of the vehicle in the charging process, marking the ratio of the charge amount to the discharge amount as a charging coefficient, acquiring a charging threshold value through a storage module, comparing the charging coefficient with the charging threshold value, and judging whether the charging state of the charging pile meets the requirement or not through a comparison result;
the state analysis module is used for detecting and analyzing the running state of the charging pile: acquiring surface temperature data BW, air temperature data KW and line temperature data XW of the charging pile in the charging process, and obtaining a charging coefficient CW of the charging pile by carrying out numerical calculation on the surface temperature data BW, the air temperature data KW and the line temperature data XW; the method comprises the steps that a storage module obtains a charging threshold CWmax, a charging coefficient CW at the time of charging end is compared with the charging threshold CWmax, and whether the running state of a charging pile meets the requirement is judged according to a comparison result;
the aging analysis module is used for detecting and analyzing the aging state of the charging pile: the method comprises the steps of acquiring a charging range and a charging duration range through a storage module, marking a charging process of which the charging duration is within the charging range and the charging duration range as an analysis process, establishing a rectangular coordinate system by taking the charging duration as an X axis and the charging coefficient CW as a Y axis, drawing a closed graph in the rectangular coordinate system through the charging coefficient CW of the analysis process, marking the area value of the closed graph as an aging coefficient of a charging pile, and judging whether the aging state of the charging pile meets the requirement or not through the aging coefficient.
2. The automatic detection operation and maintenance system for charging piles based on the internet of things according to claim 1, wherein the specific process of comparing the charging coefficient with the charging threshold comprises: if the charging coefficient is smaller than the charging threshold, judging that the charging state of the charging pile does not meet the requirement, generating a charging maintenance signal and sending the charging maintenance signal to a detection operation and maintenance platform, and sending the charging maintenance signal to a mobile phone terminal of a manager after the detection operation and maintenance platform receives the charging maintenance signal; if the charging coefficient is greater than or equal to the charging threshold, judging that the charging state of the charging pile meets the requirement, marking the ratio of the charging amount to the duration of the charging process as an efficiency coefficient, acquiring the efficiency threshold through the storage module, comparing the efficiency coefficient with the efficiency threshold, and judging whether the charging efficiency of the charging pile meets the requirement or not through a comparison result.
3. The automatic detection operation and maintenance system for charging piles based on the internet of things according to claim 2, wherein the specific process of comparing the efficiency coefficient with the efficiency threshold comprises: if the efficiency coefficient is smaller than the efficiency threshold, judging that the charging efficiency of the charging pile does not meet the requirement, generating an efficiency maintenance signal, sending the efficiency maintenance signal to a detection operation and maintenance platform, and sending the efficiency maintenance signal to a mobile phone terminal of a manager after the detection operation and maintenance platform receives the efficiency maintenance signal; and if the efficiency coefficient is greater than or equal to the efficiency threshold, judging that the charging efficiency of the charging pile meets the requirement.
4. The automatic detection operation and maintenance system for the charging pile based on the Internet of things according to claim 3, wherein the surface temperature data BW is a shell surface temperature value of the charging pile, the air temperature data KW is an air temperature value inside the shell of the charging pile, and the line temperature data XW is a charging line surface temperature value of the charging pile.
5. The automatic detection operation and maintenance system for charging piles based on the internet of things according to claim 4, wherein the specific process of comparing the charging coefficient CW with the charging threshold CWmax comprises: if the charging coefficient CW is smaller than the charging threshold CWmax, judging that the running state of the charging pile meets the requirement; if the charging coefficient CW is greater than or equal to the charging threshold CWmax, determining that the running state of the charging pile does not meet the requirement, acquiring a duration threshold through a storage module, and comparing the charging duration with the duration threshold: if the charging time length is smaller than the time length threshold value, generating a state abnormality signal and sending the state abnormality signal to the overhaul operation and maintenance platform, and sending the state abnormality signal to a mobile phone terminal of a manager after the overhaul operation and maintenance platform receives the state abnormality signal; if the charging time length is greater than or equal to the time length threshold value, generating a cutting protection signal and sending the cutting protection signal to the detection operation and maintenance platform, and cutting off a charging circuit of the charging pile after the detection operation and maintenance platform receives the cutting protection signal.
6. The automatic detection operation and maintenance system for charging piles based on the internet of things according to claim 5, wherein the specific process of drawing a closed figure in a rectangular coordinate system through the temperature coefficient CW of the analysis process comprises: dividing the charging time length into a plurality of charging time periods, marking a plurality of analysis points in a rectangular coordinate system by taking the starting time of the charging time period as an abscissa and the charging temperature coefficient CW of the charging pile at the ending time of the charging time period as an ordinate, sequentially connecting the analysis points from left to right to obtain an analysis fold line, taking the rightmost analysis point as an endpoint, making a vertical line to an X axis and marking the analysis fold line as a termination line segment, and forming a closed graph by the analysis fold line, the termination line segment and the X axis.
7. The automatic detection operation and maintenance system for charging piles based on the internet of things according to claim 6, wherein the specific process of determining whether the aging state of the charging piles meets the requirement comprises the following steps: the aging threshold is obtained through the storage module, and the aging coefficient of the charging pile is compared with the aging threshold: if the aging coefficient is smaller than the aging threshold, judging that the aging state of the charging pile meets the requirement; if the aging coefficient is greater than or equal to the aging threshold value, judging that the aging state of the charging pile does not meet the requirement, generating an aging early warning signal, sending the aging early warning signal to the overhaul operation and maintenance platform, and sending the aging early warning signal to a mobile phone terminal of a manager after the overhaul operation and maintenance platform receives the aging early warning signal.
8. The automatic detection operation and maintenance system for the charging pile based on the internet of things according to any one of claims 1 to 7, wherein the working method of the automatic detection operation and maintenance system for the charging pile based on the internet of things comprises the following steps:
step one: detecting and analyzing the charging efficiency of the charging pile: after the charging pile is charged, acquiring the discharge amount of the charging pile in the charging process and the charge amount of the vehicle in the charging process, marking the ratio of the charge amount to the discharge amount as a charging coefficient, marking the ratio of the charge amount to the duration of the charging process as an efficiency coefficient, and judging whether the charging state and the charging efficiency of the charging pile meet the requirements or not through the charging coefficient and the efficiency coefficient;
step two: detecting and analyzing the running state of the charging pile: acquiring surface temperature data BW, air temperature data KW and line temperature data XW of the charging pile in the charging process, performing numerical calculation to obtain a charging coefficient CW, and judging whether the running state of the charging pile meets the requirement by combining the charging coefficient CW and the charging time length;
step three: and detecting and analyzing the aging state of the charging pile: the method comprises the steps of obtaining a charging range and a charging duration range through a storage module, marking a charging process of which the charging coefficient CW and the charging duration are respectively in the charging range and the charging duration range as an analysis process, obtaining an aging coefficient of a charging pile in the analysis process, and judging whether the aging state of the charging pile meets the requirement or not through the aging coefficient.
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