CN111551803A - Diagnosis method and device for charging pile - Google Patents
Diagnosis method and device for charging pile Download PDFInfo
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- CN111551803A CN111551803A CN202010372043.8A CN202010372043A CN111551803A CN 111551803 A CN111551803 A CN 111551803A CN 202010372043 A CN202010372043 A CN 202010372043A CN 111551803 A CN111551803 A CN 111551803A
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Abstract
The invention discloses a diagnosis method and device for a charging pile. The diagnosis method of the charging pile comprises the following steps: determining the safety threshold range of the electric signal data of each monitoring point in the charging pile; collecting the electric signal data of each monitoring point in real time; judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, and if not, determining that the corresponding electric signal data are abnormal data; detecting whether the charging pile is in a controlled charging state, if so, determining that abnormal data are abnormal data, and if not, determining that the abnormal data are fault data; judging whether diagnostic rules corresponding to the abnormal data or the fault data exist, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnostic rules, and if not, generating no diagnostic rule information; and sending a generation reason and a solution or no diagnosis rule signal to the server side. According to the technical scheme provided by the embodiment of the invention, the utilization rate of the charging pile is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of charging piles, in particular to a method and a device for diagnosing a charging pile.
Background
With the rapid development of the new energy industry and the strong support of governments on the new energy industry, the new energy automobile industry is rapidly developed, and meanwhile, the rapid development of the charging pile industry matched with the new energy automobile industry is also driven.
Fill electric pile and probably break down in the in-service use process, and the reason that leads to the trouble is various, and on-the-spot fortune dimension personnel can consume a large amount of time at the in-process of troubleshooting, are unfavorable for filling the effective use of electric pile. For solving the above-mentioned problem, the automatic detection equipment of trouble has been proposed among the prior art, but this automatic detection equipment detects and provides corresponding solution after filling electric pile and break down, can't detect the abnormal data in the charging process, can't reduce the emergence probability of trouble through eliminating abnormal data in time, consequently still does not effectively improve the utilization ratio of filling electric pile.
Disclosure of Invention
The invention provides a diagnosis method and device of a charging pile, and aims to improve the utilization rate of the charging pile.
In a first aspect, an embodiment of the present invention provides a method for diagnosing a charging pile, including:
determining the safety threshold range of the electric signal data of each monitoring point in the charging pile;
acquiring electric signal data of each monitoring point in real time;
judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, and if not, determining that the corresponding electric signal data are abnormal data;
detecting whether the charging pile is in a controlled charging state, if so, determining that the abnormal data are abnormal data, and if not, determining that the abnormal data are fault data;
judging whether the abnormal data or the diagnosis rule corresponding to the fault data exists, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnosis rule, and if not, generating no diagnosis rule information;
and sending the generation reason and the solution mode or the non-diagnosis rule signal to a server side so that the server sends the generation reason and the solution mode or the non-diagnosis rule signal to maintenance personnel.
In a second aspect, an embodiment of the present invention further provides a diagnosis device for a charging pile, including:
the range determining module is used for determining the safety threshold range of the electric signal data of each monitoring point in the charging pile;
the data acquisition module is used for acquiring the electric signal data of each monitoring point in real time;
the data judgment module is used for judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, and if not, determining that the corresponding electric signal data are abnormal data;
the data classification module is used for detecting whether the charging pile is in a controlled charging state, if so, the abnormal data is determined to be abnormal data, and if not, the abnormal data is determined to be fault data;
the data diagnosis module is used for judging whether the abnormal data or the diagnosis rule corresponding to the fault data exists, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnosis rule, and if not, generating no diagnosis rule information;
and the data sending module is used for sending the generation reason and the solution mode or the no-diagnosis rule signal to a server end so that the server sends the generation reason and the solution mode or the no-diagnosis rule signal to maintenance personnel.
The technical scheme provided by the embodiment of the invention comprises the steps of acquiring the electric signal data of each monitoring point in real time by determining the safety threshold range of the electric signal data of each monitoring point in a charging pile, judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, if not, determining that the corresponding electric signal data are abnormal data, detecting whether the charging pile is in a controlled charging state, if so, determining that the abnormal data are abnormal data, if not, determining that the abnormal data are fault data, judging whether abnormal data or a diagnosis rule corresponding to the fault data exist, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnosis rule, if not, generating no diagnosis rule information, sending the generation reason and the solution mode or no diagnosis rule signal to a server end, so that the server sends the generation reason and the solution mode or no diagnosis rule signal to maintenance personnel, the real-time detection of the state of the charging pile is realized, abnormal data or fault data can be eliminated timely and quickly, the duration that the charging pile cannot work due to the influence of a fault maintenance process is reduced, and the utilization rate of the charging pile is improved.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
fig. 1 is a schematic flowchart of a method for diagnosing a charging pile according to an embodiment of the present invention;
fig. 2 is a schematic flowchart illustrating a process of determining a safety threshold range of electrical signal data of each monitoring point in a charging pile according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating a method for determining a safe threshold range of electrical signal data at a first monitoring point according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a diagnosis device for a charging pile according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a range determining module according to an embodiment of the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description will be given to specific embodiments, structures, features and effects of a charging pile diagnosis method and device according to the present invention, with reference to the accompanying drawings and preferred embodiments.
The embodiment of the invention provides a diagnosis method of a charging pile, which comprises the following steps:
determining the safety threshold range of the electric signal data of each monitoring point in the charging pile;
acquiring electric signal data of each monitoring point in real time;
judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, and if not, determining that the corresponding electric signal data are abnormal data;
detecting whether the charging pile is in a controlled charging state, if so, determining that the abnormal data are abnormal data, and if not, determining that the abnormal data are fault data;
judging whether the abnormal data or the diagnosis rule corresponding to the fault data exists, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnosis rule, and if not, generating no diagnosis rule information;
and sending the generation reason and the solution mode or the non-diagnosis rule signal to a server side so that the server sends the generation reason and the solution mode or the non-diagnosis rule signal to maintenance personnel.
The technical scheme provided by the embodiment of the invention comprises the steps of acquiring the electric signal data of each monitoring point in real time by determining the safety threshold range of the electric signal data of each monitoring point in a charging pile, judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, if not, determining that the corresponding electric signal data are abnormal data, detecting whether the charging pile is in a controlled charging state, if so, determining that the abnormal data are abnormal data, if not, determining that the abnormal data are fault data, judging whether abnormal data or a diagnosis rule corresponding to the fault data exist, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnosis rule, if not, generating no diagnosis rule information, sending the generation reason and the solution mode or no diagnosis rule signal to a server end, so that the server sends the generation reason and the solution mode or no diagnosis rule signal to maintenance personnel, the real-time detection of the state of the charging pile is realized, abnormal data or fault data can be eliminated timely and quickly, the duration that the charging pile cannot work due to the influence of a fault maintenance process is reduced, and the utilization rate of the charging pile is improved.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without any creative work belong to the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other embodiments that depart from the specific details disclosed herein, and it will be recognized by those skilled in the art that the present invention may be practiced without these specific details.
Next, the present invention is described in detail with reference to the schematic drawings, and in the detailed description of the embodiments of the present invention, the schematic drawings showing the structure of the device are not partially enlarged in general scale for convenience of description, and the schematic drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and height should be included in the actual fabrication.
Fig. 1 is a schematic flowchart of a method for diagnosing a charging pile according to an embodiment of the present invention. The diagnosis method of the charging pile is suitable for diagnosing real-time fault data and abnormal data of new energy automobiles (oil-electric hybrid automobiles and pure electric automobiles). As shown in fig. 1, the method for diagnosing a charging pile specifically includes the following steps:
It should be noted that the safety threshold range refers to an electric signal floating range of a corresponding monitoring point in the normal working process of the charging pile. It can be understood that each monitoring point corresponds to a safety threshold range, and the safety threshold range of the electric signal data of each monitoring point is determined respectively.
Illustratively, the monitoring point can be including filling electric pile controller, power control module and filling other components or circuits that easily break down in the electric pile, wherein, fills electric pile controller and function control module's electric signal data and can directly obtain, and the electric signal data accessible of other monitoring points sets up corresponding sensor and gathers.
And 102, acquiring the electric signal data of each monitoring point in real time.
It should be noted that the "real-time" acquisition action is continuously performed in the controlled charging process of the charging pile, so as to ensure that abnormal data of each monitoring point can be acquired in time.
For example, the electrical signal data may be voltage or current of a corresponding element or circuit, or the like.
And 103, judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, and if not, determining that the corresponding electric signal data are abnormal data.
It can be understood that it is necessary to determine whether the electrical signal data of each monitoring point is within the corresponding safety threshold range, and determine that the electrical signal data of the monitoring points that are greater than or less than the corresponding safety threshold range are abnormal data.
And 104, detecting whether the charging pile is in a controlled charging state, if so, determining that the abnormal data are abnormal data, and if not, determining that the abnormal data are fault data.
The "controlled charging state" refers to a state of the charging pile in the charging process according to the charging parameters and the charging duration set by the user.
It should be noted that, in different charging states of the charging pile, the generation causes of the abnormal data are usually different, and in order to more accurately find the generation causes and the solutions of the abnormal data, the abnormal data are divided into abnormal data and fault data according to the different charging states of the charging pile.
And 105, judging whether the abnormal data or the diagnosis rule corresponding to the fault data exists, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnosis rule, and if not, generating the information without the diagnosis rule.
For example, the charging pile may pre-store abnormal data and diagnosis rules corresponding to the fault data of each monitoring point, where the diagnosis rules include the abnormal data and the fault data, at least one generation reason corresponding to the abnormal data and the fault data, and at least one solution, and most of the pre-stored diagnosis rules are determined empirically. Optionally, the corresponding relationship between the abnormal data and the fault data and the generation reason and the solution may be stored in a table form, so as to facilitate storage of the system.
It should be noted that, the reasons for the occurrence of the charging pile faults are various, and the corresponding reasons for occurrence and solutions are not single, so that all abnormal data and fault data and corresponding reasons for occurrence and solutions cannot be pre-stored in a normal situation, and no diagnosis rule information is generated for the case where the abnormal data, fault data, reasons for occurrence or solutions that are not pre-stored are generated, so as to notify a maintenance worker through the no diagnosis rule information, and remind the maintenance worker to store the corresponding information into the charging pile after the maintenance is successful.
And 106, sending the generation reason and the solution mode or the no diagnosis rule signal to a server side so that the server sends the generation reason and the solution mode or the no diagnosis rule signal to maintenance personnel.
It should be noted that, the maintenance of filling electric pile needs the maintenance personal to operate on the spot at present, and the electric pile data that fills that every maintenance personal is responsible for is more, the state of each electric pile that fills of unable real-time supervision, the server end can communicate with filling electric pile and maintenance personal simultaneously, can regard as the electric pile that fills who notifies the maintenance personal to improper work to maintain, in order to guarantee that maintenance personal can in time learn the state of filling electric pile, and in time arrive at the scene and get rid of unusual or obstacle.
The technical scheme provided by this embodiment includes that the safety threshold range of the electrical signal data of each monitoring point in the charging pile is determined, the electrical signal data of each monitoring point is collected in real time, whether the electrical signal data of each monitoring point is within the corresponding safety threshold range is judged, if not, the corresponding electrical signal data is determined to be abnormal data, whether the charging pile is in a controlled charging state is detected, if yes, the abnormal data is determined to be abnormal data, if not, the abnormal data is determined to be fault data, whether abnormal data or a diagnosis rule corresponding to the fault data exists is judged, if yes, the generation reason and the solution of the abnormal data or the fault data are determined according to the corresponding diagnosis rule, if not, no diagnosis rule information is generated, the generation reason and the solution or no diagnosis rule signal is sent to the server side, so that the server sends the generation reason and the solution or no diagnosis rule signal to maintenance personnel, the real-time detection of the state of the charging pile is realized, abnormal data or fault data can be eliminated timely and quickly, the duration that the charging pile cannot work due to the influence of a fault maintenance process is reduced, and the utilization rate of the charging pile is improved.
Optionally, after sending the cause and the solution or the no-diagnosis rule signal to the server, the method may further include: and receiving maintenance personnel information sent by the server, and locally displaying the maintenance personnel information, the generation reason and the solution mode or no diagnosis rule signal.
Illustratively, the service man information may include information such as a service man number, a mobile phone number, a fixed telephone number for work, a current position, and the like, and the local display of the service man information enables a user to conveniently contact a corresponding service man when needed, so as to inform the service man to arrive at the site in time.
In addition, local demonstration produces reason and solution or does not have the diagnosis rule signal and can play the suggestion effect to the user, and local demonstration produces reason and solution and makes the user can oneself solve the trouble that can conveniently get rid of, and need not wait until maintenance personal arrives the scene, has further promoted the utilization ratio of filling electric pile.
Preferably, when there are a plurality of corresponding generation causes and solutions, the generation causes and the corresponding solutions may be listed in order of probability from large to small based on the magnitude of probability of causing corresponding abnormal data or failure data.
In addition, if fill electric pile and include voice prompt module, can also adopt the voice prompt mode to report unusual or the trouble condition.
For example, after sending the cause and the solution or no diagnosis rule signal to the server, the method may further include: and adding the newly added abnormal data or the diagnosis rule corresponding to the newly added fault data according to the input information, and/or changing the existing abnormal data or the diagnosis rule corresponding to the existing fault data according to the input information.
It should be noted that there may be a place where the pre-stored diagnosis rule is wrong, or there is no corresponding pre-stored diagnosis rule for the current problem of the charging pile, so that after the maintenance personnel perform field maintenance, the maintenance personnel can obtain the correct pre-stored diagnosis rule and the cause and solution of the abnormal data or fault data without the pre-stored diagnosis rule, and update the corresponding diagnosis rule by inputting the diagnosis rule at the input end, so as to perfect the diagnosis rule in the charging pile. Illustratively, the input end may be a local display device, or a device for maintenance personnel to communicate with the server end.
Furthermore, the information input by the maintenance personnel can also comprise maintenance results, maintenance personnel order receiving time, on-site time, completion time, total maintenance time and the like, and the information can be synchronously input into the charging pile to be used as a reference for determining a subsequent maintenance process and a diagnosis rule.
Optionally, the method for diagnosing a charging pile may further include: and detecting whether the current actual charging of the charging pile reaches the corresponding preset charging duration, and if so, stopping acquiring the electric signal data of each monitoring point.
It should be noted that the diagnosis of the electrical signal data of the monitoring point is only performed when the charging pile normally works, so that the charging state of the charging pile is detected, and the detection is stopped when the preset charging time is reached. The actual charging time length takes the starting operation of the current charging as a starting point, and the preset charging time length is set by a user before the current charging is started.
Fig. 2 is a schematic flowchart of determining a safety threshold range of electrical signal data of each monitoring point in a charging pile according to an embodiment of the present invention. As shown in fig. 2, determining the safety threshold range of the electrical signal data of each monitoring point in the charging pile may include the following steps:
and 11, determining the safety threshold range of the electric signal data of the first monitoring point.
Specifically, fig. 3 is a schematic flowchart of determining a safety threshold range of the electrical signal data of the first monitoring point according to an embodiment of the present invention. The first monitoring point is a monitoring point selected at will. As shown in FIG. 3, determining a safe threshold range for electrical signal data for a first monitoring point includes the following:
It should be noted that the first normal electrical signal data is electrical signal data within a corresponding safety threshold range. Illustratively, the selected time period may be the last month. Specifically, electrical signal data (including normal electrical signal data and abnormal electrical signal data) of all first monitoring points in the last month are extracted, and normal electrical signal data in the electrical signal data are determined as first normal electrical signal data by comparing the electrical signal data with a safety threshold range corresponding to the first monitoring points.
It should be noted that, in this embodiment, a specific form of the first data model is not limited, and all data models that can be obtained by fitting a plurality of first normal electrical signal data are within the protection scope of this embodiment. It can be understood that, in order to make the first data model more reasonable, the larger the duration of the selected time period is, the better the selected time period is, but the longer the duration is, the larger the calculation amount is, the calculation efficiency is affected, and the calculation complexity is improved.
And step 202, screening second normal electric signal data of the plurality of first monitoring points in other time periods by using the first data model.
Specifically, after the first data model is determined, a plurality of normal electric signal data of the first monitoring point in other time periods are selected and taken into the first data model to verify whether the normal electric signal data are reasonable or not, and the normal electric signal data suitable for the first data model are taken as second normal electric signal data. It will be appreciated that the first data pattern is justified when the number of the plurality of normal electrical signal data for the other time period is sufficiently large (e.g., greater than half of all the normal electrical signal data for the corresponding time period).
And step 203, constructing a second data model by using all the first normal electric signal data and all the second normal electric signal data.
It should be noted that the first data model is obtained based on all the first normal electrical signal data, and although the second normal electrical signal data is also applicable to the first data model, the first data model is not necessarily the most applicable data model for the first normal electrical signal and the second normal electrical signal.
And 204, evaluating the applicability of the second data model based on the applicability of all the first normal electrical signal data and all the second normal electrical signal data to the second data model.
Illustratively, the number of the first normal electrical signal data is 15, and the number of the second normal electrical signal data is 25, wherein 10 first normal electrical signal data and 20 second normal electrical signal data are applicable to the second data model, and then the applicability rate of all the first normal electrical signal data and all the second normal electrical signal data to the second data model is 30/(15+25) ═ 3/4. The applicability rate is positively correlated with the applicability of the corresponding second data model.
And step 205, taking the second data model as a new first data model, repeating the step 203 and the step 204 n times, and taking the second data model with the highest adaptability as a final data model, wherein n is a positive integer.
Specifically, in each repeating process, the following two outcomes exist for obtaining the second data model: 1. the applicability of the data model is lower than that of the previous second data model and is abandoned; 2. the applicability is higher than that of the previous second data model, and the second data model is selected. And screening out a data model with stronger applicability as a final data model by the iteration mode so as to improve the correctness of the safety threshold range obtained based on the final data model.
And step 206, determining the safety threshold range of the electric signal data of the first monitoring point according to the final data model.
It should be noted that the electrical signal data applied to the final data model includes a plurality of data, and the maximum data range of all the electrical signal data applied to the final data model is the safety threshold range of the electrical signal of the first monitoring point.
And step 12, determining the safety threshold value range of the electric signal data of other monitoring points according to the mode of determining the safety threshold value range of the electric signal data of the first monitoring point in the step 11.
Fig. 4 is a schematic structural diagram of a diagnosis device for a charging pile according to an embodiment of the present invention. The diagnosis device of the charging pile is used for executing the diagnosis method of the charging pile in any embodiment of the invention. As shown in fig. 4, the diagnosis device of the charging pile specifically includes the following:
the range determining module 110 is configured to determine a safety threshold range of the electrical signal data of each monitoring point in the charging pile;
the data acquisition module 120 is used for acquiring the electric signal data of each monitoring point in real time;
the data judgment module 130 is configured to judge whether the electrical signal data of each monitoring point is within a corresponding safety threshold range, and if not, determine that the corresponding electrical signal data is abnormal data;
the data classification module 140 is configured to detect whether the charging pile is in a controlled charging state, determine that the abnormal data is abnormal data if the charging pile is in the controlled charging state, and determine that the abnormal data is fault data if the charging pile is not in the controlled charging state;
the data diagnosis module 150 is configured to determine whether there is a diagnosis rule corresponding to the abnormal data or the fault data, determine a generation cause and a solution of the abnormal data or the fault data according to the corresponding diagnosis rule if there is a diagnosis rule corresponding to the abnormal data or the fault data, and generate no diagnosis rule information if there is no diagnosis rule;
and the data sending module 160 is configured to send the generation reason and the solution manner or the no-diagnosis rule signal to the server side, so that the server sends the generation reason and the solution manner or the no-diagnosis rule signal to a maintenance worker.
In this embodiment, the diagnosis device for a charging pile may further include:
the information receiving module is used for receiving maintenance personnel information sent by the server after the generation reason and the solution mode or no diagnosis rule signal is sent to the server;
and the data display module is used for locally displaying information of maintenance personnel and generating reasons and solving modes or signals without diagnosis rules.
In this embodiment, the diagnosis device for a charging pile may further include:
and the rule updating module is used for adding the newly added abnormal data or the diagnosis rule corresponding to the newly added fault data according to the input information and/or changing the existing abnormal data or the diagnosis rule corresponding to the existing fault data according to the input information after the generation reason and the solution or no diagnosis rule signal is sent to the server side.
Fig. 5 is a schematic structural diagram of a range determining module according to an embodiment of the present invention. As shown in fig. 5, the range determination module includes:
a first range determination unit 111 for determining a safe threshold range of the electrical signal data of the first monitoring point in the following manner:
constructing a first data model according to first normal electric signal data of a plurality of first monitoring points in a selected time period;
screening second normal electric signal data of a plurality of first monitoring points in other time periods by adopting the first data model;
constructing a second data model by adopting all the first normal electrical signal data and all the second normal electrical signal data;
evaluating the applicability of the second data model based on the applicability of all first normal electrical signal data and all second normal electrical signal data to the second data model;
taking the second data model as a new first data model, repeating the step 203 and the step 204 for n times, and taking the second data model with the highest adaptability as a final data model;
determining the safety threshold range of the electric signal data of the first monitoring point according to the final data model;
and a second range determining unit 112, configured to determine the safety threshold range of the electrical signal data of other monitoring points according to the manner in which the first range determining unit determines the safety threshold range of the electrical signal data of the first monitoring point.
In this embodiment, the diagnosis device for a charging pile may further include:
and the completion detection module is used for detecting whether the current actual charging of the charging pile reaches the corresponding preset charging time, and if so, stopping acquiring the electric signal data of each monitoring point.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious modifications, rearrangements, combinations and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for diagnosing a charging pile, comprising:
determining the safety threshold range of the electric signal data of each monitoring point in the charging pile;
acquiring electric signal data of each monitoring point in real time;
judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, and if not, determining that the corresponding electric signal data are abnormal data;
detecting whether the charging pile is in a controlled charging state, if so, determining that the abnormal data are abnormal data, and if not, determining that the abnormal data are fault data;
judging whether the abnormal data or the diagnosis rule corresponding to the fault data exists, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnosis rule, and if not, generating no diagnosis rule information;
and sending the generation reason and the solution mode or the non-diagnosis rule signal to a server side so that the server sends the generation reason and the solution mode or the non-diagnosis rule signal to maintenance personnel.
2. The diagnostic method according to claim 1, wherein after sending the cause of occurrence and the resolution or the no-diagnostic-rule signal to a server, the method further comprises:
receiving maintenance personnel information sent by the server side;
displaying the serviceman information and the cause of production and the resolution or the no diagnosis rule signal locally.
3. The diagnostic method according to claim 1, wherein after sending the cause of occurrence and the resolution or the no-diagnostic-rule signal to a server, the method further comprises:
and adding the newly added abnormal data or the diagnosis rule corresponding to the newly added fault data according to the input information, and/or changing the existing abnormal data or the diagnosis rule corresponding to the existing fault data according to the input information.
4. The diagnostic method of claim 1, wherein determining a safe threshold range for electrical signal data at each monitoring point in the charging pile comprises:
step 11, determining the safety threshold range of the electric signal data of the first monitoring point by adopting the following method:
constructing a first data model according to first normal electric signal data of a plurality of first monitoring points in a selected time period;
screening second normal electric signal data of the first monitoring points in other time periods by adopting the first data model;
constructing a second data model by using all the first normal electrical signal data and all the second normal electrical signal data;
evaluating the applicability of the second data model based on the applicability of all first normal electrical signal data and all second normal electrical signal data to the second data model;
taking the second data model as a new first data model, repeating the step 203 and the step 204 for n times, and taking the second data model with the highest adaptability as a final data model;
determining the safety threshold range of the electric signal data of the first monitoring point according to the final data model;
and step 12, determining the safety threshold value range of the electric signal data of other monitoring points according to the mode of determining the safety threshold value range of the electric signal data of the first monitoring point in the step 11.
5. The diagnostic method of claim 1, further comprising:
and detecting whether the current actual charging of the charging pile reaches the corresponding preset charging duration, and if so, stopping acquiring the electric signal data of each monitoring point.
6. A diagnostic device for a charging pile, comprising:
the range determining module is used for determining the safety threshold range of the electric signal data of each monitoring point in the charging pile;
the data acquisition module is used for acquiring the electric signal data of each monitoring point in real time;
the data judgment module is used for judging whether the electric signal data of each monitoring point is in the corresponding safety threshold range, and if not, determining that the corresponding electric signal data are abnormal data;
the data classification module is used for detecting whether the charging pile is in a controlled charging state, if so, the abnormal data is determined to be abnormal data, and if not, the abnormal data is determined to be fault data;
the data diagnosis module is used for judging whether the abnormal data or the diagnosis rule corresponding to the fault data exists, if so, determining the generation reason and the solution mode of the abnormal data or the fault data according to the corresponding diagnosis rule, and if not, generating no diagnosis rule information;
and the data sending module is used for sending the generation reason and the solution mode or the no-diagnosis rule signal to a server end so that the server sends the generation reason and the solution mode or the no-diagnosis rule signal to maintenance personnel.
7. The diagnostic device of claim 6, further comprising:
the information receiving module is used for receiving the information of the maintenance personnel sent by the server after the generation reason and the solution or the no-diagnosis rule signal are sent to the server;
and the data display module is used for locally displaying the information of the maintenance personnel, the generation reason, the solution or the signal without the diagnosis rule.
8. The diagnostic device of claim 1, further comprising:
and the rule updating module is used for adding a newly-added abnormal data or a newly-added diagnosis rule corresponding to fault data according to the input information and/or changing the existing abnormal data or the diagnosis rule corresponding to the existing fault data according to the input information after the generation reason and the solution or the no-diagnosis rule signal is sent to the server.
9. The diagnostic device of claim 6, wherein the range determination module comprises:
a first range determination unit for determining a safe threshold range of the electrical signal data of the first monitoring point as follows:
constructing a first data model according to first normal electric signal data of a plurality of first monitoring points in a selected time period;
screening second normal electric signal data of the first monitoring points in other time periods by adopting the first data model;
constructing a second data model by using all the first normal electrical signal data and all the second normal electrical signal data;
evaluating the applicability of the second data model based on the applicability of all first normal electrical signal data and all second normal electrical signal data to the second data model;
taking the second data model as a new first data model, repeating the step 203 and the step 204 n times, and taking the second data model with the highest adaptability as a final data model, wherein n is a positive integer;
determining the safety threshold range of the electric signal data of the first monitoring point according to the final data model;
and the second range determining unit is used for determining the safety threshold value ranges of the electric signal data of other monitoring points according to the mode that the first range determining unit determines the safety threshold value range of the electric signal data of the first monitoring point.
10. The diagnostic device of claim 6, further comprising:
and the completion detection module is used for detecting whether the current actual charging of the charging pile reaches the corresponding preset charging time, and if so, stopping collecting the electric signal data of each monitoring point.
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