CN111337764A - Charging pile fault diagnosis system and method and storage medium - Google Patents
Charging pile fault diagnosis system and method and storage medium Download PDFInfo
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Abstract
The invention discloses a charging pile fault diagnosis system, a charging pile fault diagnosis method and a storage medium. Fill electric pile fault diagnosis system includes: the device comprises a data acquisition module, a data analysis module, an alarm module and a component fault diagnosis assembly; the fault diagnosis component comprises one or a combination of a power module fault diagnosis module, a control unit fault diagnosis module, a metering unit fault diagnosis module, a charging communication unit fault diagnosis module, a charging interface fault diagnosis module and a charging pile body fault diagnosis module; and the data acquisition module, the component fault diagnosis assembly, the data analysis module and the alarm module are connected in sequence.
Description
Technical Field
The invention relates to the technical field of charging pile equipment, in particular to a charging pile fault diagnosis system and method and a storage medium.
Background
With the rapid development of science and technology and the outstanding energy crisis and environmental problems, electric automobiles are favored by people. Compared with the traditional fuel oil automobile, the electric automobile has the advantages of low noise, small pollution, high energy utilization rate, various energy sources and the like. The vigorous development of electric automobiles is an effective way to relieve environmental pollution and energy consumption pressure. And as the important corollary equipment of electric automobile, fill electric pile and also turn into by oneself. With more and more charging piles being put into use, how to confirm the fault reason when the charging pile breaks down so as to timely maintain the charging pile also becomes an important research method in the problem of ensuring the operation quality of the charging pile.
In the prior art, the fault reason diagnosis mode of the charging pile usually adopts a manual regular maintenance mode, if a fault is found in the inspection process, the fault reason is checked aiming at the fault, and the occurrence reason of the fault is finally confirmed, so that the fault reason diagnosis process aiming at the charging pile is passive and low in efficiency.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a charging pile fault diagnosis system, a charging pile fault diagnosis method and a storage medium.
In order to achieve the above purpose, the invention provides the following technical scheme:
a charging pile fault diagnosis system comprising: the device comprises a data acquisition module, a data analysis module, an alarm module and a component fault diagnosis assembly; the data acquisition module, the component fault diagnosis assembly, the data analysis module and the alarm module are sequentially connected;
the data acquisition module is used for acquiring parameters of charging pile components, and the charging pile components comprise but are not limited to a power module, a control unit, a metering unit, a charging communication unit, a charging interface and a charging pile body;
the fault diagnosis assembly is used for carrying out fault analysis on the charging pile component according to the data acquired by the data acquisition module to obtain a state value of the charging pile component;
the data analysis module is used for calculating a state value of the charging pile according to the state value of the charging pile component obtained by the fault diagnosis assembly and judging whether the alarm module is started or not;
the alarm module is used for executing alarm operation.
Preferably, the fault diagnosis component comprises one or a combination of a power module fault diagnosis module, a control unit fault diagnosis module, a metering unit fault diagnosis module, a charging communication unit fault diagnosis module, a charging interface fault diagnosis module and a charging pile body fault diagnosis module.
Preferably, the data analysis module includes a state value module, and the state value module is configured to divide the state interval according to a change rule of the state value from large to small.
Preferably, the data analysis module comprises a state value change module, and the state value change module is used for calculating a historical state value of the charging pile and a change value of the current state value and judging whether to start the alarm module.
A fault diagnosis method for a charging pile comprises the following steps:
101, a data acquisition module acquires parameters of a charging pile and sends the parameters to a fault diagnosis component;
102, the fault diagnosis component carries out fault analysis on the charging pile component according to the data acquired by the data acquisition module to obtain a state value of the charging pile component, and sends the state value of the charging pile component to the data analysis module;
103, the data analysis module calculates a state value of the charging pile according to the state value of the charging pile component, and judges whether to start the alarm module, if the alarm module is started, step 104 is executed, and if the alarm module is not started, the fault diagnosis is finished, and the next fault diagnosis is waited;
and 104, executing alarm operation by the alarm module.
Preferably, in the step 103, the data analysis module divides a state interval according to a rule of change of the state value from large to small, the state interval is divided into four intervals of normal, attention, abnormal and serious, the state value x, x ∈ [0, 100] of the charging pile belongs to a normal state if x ∈ [85, 100], the charging pile belongs to an attention state if x ∈ [65, 85 ], the charging pile belongs to an abnormal state if x ∈ (45, 65), and the charging pile belongs to a serious state if x ∈ [0, 45).
Preferably, the step 103 further calculates a state value change value, and determines the state of the charging pile by comprehensively considering the state value of the charging pile and the state value change value.
Preferably, the change value is a difference value between a historical detection value of the charging pile and a current detection value, the difference value is delta x, delta x ∈ (-100,100), the difference value is divided into the following 4 intervals of [ -100, 5], (5, 30], (30, 50] and (50, 100], specifically, if x ∈ [85, 100] and delta x ∈ [ -100, 5], the charging pile belongs to a normal state, if x ∈ [65, 85 ] or delta x ∈ (5, 30], the charging pile belongs to an attention state, if x ∈ (45, 65) or delta x ∈ (30, 50 ]), the charging pile belongs to an abnormal state, and if x ∈ [0, 45] or delta x ∈ (50, 100], the charging pile belongs to a serious state.
A readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the charging pile fault diagnosis method as described above.
Compared with the prior art, the invention has the beneficial effects that: the states of all parts of the charging pile are monitored, so that whether the charging pile breaks down or not is obtained, and corresponding measures are taken according to the severity of the fault, so that the fault of the charging pile is accurately and timely found, and corresponding operation is performed.
Description of the drawings:
fig. 1 is a schematic structural diagram of a charging pile fault diagnosis system according to an exemplary embodiment 1 of the present invention;
fig. 2 is a flowchart of a charging pile fault diagnosis method according to an exemplary embodiment 2 of the present invention;
fig. 3 is a flowchart of a charging pile fault diagnosis method in an exemplary embodiment 3 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to test examples and specific embodiments. It should be understood that the scope of the above-described subject matter is not limited to the following examples, and any techniques implemented based on the disclosure of the present invention are within the scope of the present invention.
Example 1
As shown in fig. 1, the present embodiment provides a charging pile fault diagnosis system, including: the device comprises a data acquisition module, a data analysis module, an alarm module and a component fault diagnosis assembly; the fault diagnosis component comprises one or a combination of a power module fault diagnosis module, a control unit fault diagnosis module, a metering unit fault diagnosis module, a charging communication unit fault diagnosis module, a charging interface fault diagnosis module and a charging pile body fault diagnosis module; and the data acquisition module, the component fault diagnosis assembly, the data analysis module and the alarm module are connected in sequence.
The data acquisition module is used for collecting parameters of charging pile components, and the charging pile components comprise but are not limited to a power module, a control unit, a metering unit, a charging communication unit, a charging interface and a charging pile body.
The fault diagnosis assembly is used for carrying out fault analysis on the charging pile component according to the data acquired by the data acquisition module to obtain the state value of the charging pile component.
The data analysis module is used for calculating the state value of the charging pile according to the state value of the charging pile component obtained by the fault diagnosis component and judging whether the alarm module is started or not.
The alarm module is used for executing alarm operation.
This embodiment is through the state of control charging pile each part, and then obtains charging pile whether break down to take corresponding measure according to the severity of trouble, with accurate timely discovery charging pile trouble and make corresponding operation.
Preferably, the fault diagnosis component calculates the state value of the charging pile component by adopting one or a combination of an entropy weight method, an analytic hierarchy process, a good-bad solution distance method or a Bayesian method.
Preferably, the data analysis module calculates the state value of the charging pile by using one or a combination of an entropy weight method, an analytic hierarchy process, a good-bad solution distance method or a bayesian method.
The fault diagnosis component or the data analysis module is designed by adopting fault diagnosis methods such as an entropy weight method, an analytic hierarchy process, a good-bad solution distance method or a Bayesian method, and the like, so that the accuracy and the automation degree of fault recognition can be improved.
Preferably, the data analysis module includes a state value module, and the state value module is configured to divide the state interval according to a change rule of the state value from large to small.
The state value of charging pile can reflect the state of charging pile most, and can be directly used for judging whether charging pile breaks down, so that the basis is improved for fault diagnosis of charging pile.
Preferably, the data analysis module comprises a state value change module, and the state value change module is used for calculating a historical state value of the charging pile and a change value of the current state value and judging whether to start the alarm module.
Whether the influence that fills electric pile and receive sudden influence factor can be judged through the state value of observing to fill electric pile for the state value of filling electric pile produces great change, also need monitor to this kind of sudden change, consequently sets up the change of state value module and is used for monitoring the change of state value of filling electric pile.
Example 2
The embodiment provides a charging pile fault diagnosis method, which comprises the following steps:
101, a data acquisition module acquires parameters of a charging pile and sends the parameters to a fault diagnosis component;
102, the fault diagnosis component carries out fault analysis on the charging pile component according to the data acquired by the data acquisition module to obtain a state value of the charging pile component, and sends the state value of the charging pile component to the data analysis module;
103, the data analysis module calculates a state value of the charging pile according to the state value of the charging pile component, and judges whether to start the alarm module, if the alarm module is started, step 104 is executed, and if the alarm module is not started, the fault diagnosis is finished, and the next fault diagnosis is waited;
and 104, executing alarm operation by the alarm module.
According to the charging pile fault diagnosis method, whether the charging pile breaks down or not is obtained by monitoring the states of all parts of the charging pile, and corresponding measures are taken according to the severity of the fault, so that the fault of the charging pile is accurately and timely found and corresponding operation is performed.
Preferably, in step 102, the state value of the charging pile component is calculated by using one or a combination of an entropy weight method, an analytic hierarchy method, a good-bad solution distance method or a bayesian method.
Preferably, in step 103, the state value of the charging pile is calculated by using one or a combination of an entropy weight method, an analytic hierarchy process, a good-bad solution distance method and a bayesian method.
The fault diagnosis component or the data analysis module is designed by adopting fault diagnosis methods such as an entropy weight method, an analytic hierarchy process, a good-bad solution distance method or a Bayesian method, and the like, so that the accuracy and the automation degree of fault recognition can be improved.
Preferably, in step 103, the data analysis module divides the state interval according to a rule of changing the state value from large to small.
Preferably, the status intervals are divided into four intervals of normal, caution, abnormal and severe.
Specifically, the charging pile belongs to a normal state if the charging pile state values x, x ∈ [0, 100], belongs to a normal state if x ∈ [85, 100], belongs to an attention state if x ∈ [65, 85 ], belongs to an abnormal state if x ∈ (45, 65), and belongs to a serious state if x ∈ [0, 45 ].
Preferably, step 103 further calculates a state value change value, and determines the state of the charging pile by comprehensively considering the state value of the charging pile and the state value change value.
Preferably, the variation value is a difference value between a historical detection value of the charging pile and a current detection value.
Specifically, the difference values Δ x, Δ x ∈ (-100,100) are divided into the following 4 intervals, [ -100, 5], (5, 30], (30, 50] and (50, 100 ]. specifically, if x ∈ [85, 100], and Δ x ∈ [ -100, 5], the charging pile belongs to a normal state, if x ∈ [65, 85 ], or Δ x ∈ (5, 30], the charging pile belongs to an attention state, if x ∈ (45, 65), or Δ x ∈ (30, 50], the charging pile belongs to an abnormal state, if x ∈ [0, 45], or Δ x ∈ (50, 100], the charging pile belongs to a serious state, the lower the state value of the charging pile is the more likely to represent the charging pile to have a fault, or the more likely to be the fault, so that different state intervals are divided according to a large-to-small change rule of the charging pile state values, so that a suitable fault handling manner is adopted according to the fault level, the lower the state change value of the charging pile is the more likely to represent the change with time, the charging pile in a short time, the charging pile is the larger, the potential of the change of the state is not likely to be interfered by an external factor, and the external risk of the charging pile is eliminated, and the safety factor is considered.
Example 3
As shown in fig. 3, in this embodiment, a charging pile fault diagnosis method is provided in combination with a specific charging pile state value calculation method, and includes the following steps:
s1, acquiring an evaluation index system corresponding to the target charging pile, wherein the evaluation index system is used for representing the running state of the charging pile and comprises a plurality of primary evaluation indexes;
s2, determining the weight and the relative closeness of each primary evaluation index respectively, and determining the state value of the running state of the target charging pile according to the state value, the weight and the relative closeness of each primary evaluation index; the state value of the first-level evaluation index represents the operation state of each main component of the charging pile, the weight of the first-level evaluation index is determined jointly according to an entropy weight method and an analytic hierarchy process, and the relative closeness of the first-level evaluation index is determined according to a good-bad solution distance method;
s3, judging whether the state value of the operation state of the target charging pile is lower than a threshold value; if yes, a warning signal is sent out.
As can be seen from the above description, in the method for diagnosing a fault of a charging pile provided by this embodiment, an evaluation index system including a plurality of primary evaluation indexes corresponding to a target charging pile is obtained; then determining the weight of each primary evaluation index based on an entropy weight method and an analytic hierarchy process, determining relative closeness according to a good-bad solution distance method, determining the state value of the running state of the target charging pile according to the weight and the relative closeness of each primary evaluation index, and then judging whether the charging pile breaks down or not and needs to be overhauled; through the evaluation of the running state of the charging pile, whether the fault occurs is judged, the running reliability of the charging pile can be effectively improved, the working efficiency of operation and maintenance personnel can be effectively improved, the operation and maintenance working pressure of the charging pile is reduced, and meanwhile, the evaluation process of the running state of the charging pile is simple and scientific, effective data support can be provided for daily operation and maintenance work of the charging pile, the intelligent operation and maintenance method has strong scientificity, reliability and operability, the intelligent operation and maintenance of the charging pile can be effectively guided, and the running stability and the running life of a charging facility are improved.
In step S1, the primary evaluation index indicates each main component of the charging pile, and the main component includes a power module, a control unit, a metering unit, a billing communication unit, a charging interface, and a charging pile body; and the state value of the primary evaluation index represents the operation state of each main component of the charging pile.
An effective way for converting semi-qualitative and semi-quantitative problems into quantitative problems is by Analytic Hierarchy Process (AHP). The AHP levels various factors, and provides a comparable quantitative basis for analyzing and predicting the development of things, and although pairwise comparison data can be obtained by objective absolute data conversion in the calculation process, the pairwise comparison data is generally subjectively given by field experts, so the AHP is a subjective weighting method in general; the entropy weight method is an objective weighting method, and the weights of all evaluation indexes are obtained by using the existing objective data. If a weighting method is used alone, the obtained weight value may be biased to an objective or subjective aspect, so that the weight of the primary evaluation index is determined by the entropy weight method and the analytic hierarchy process together, the relative closeness of the primary evaluation index is determined by the good-bad solution distance method, and the overall score of the operating state of the target charging pile is determined according to the state value, the weight and the relative closeness of each primary evaluation index; the whole score of the operating condition of the charging pile is closer to the real condition of the charging pile, so that fault detection can be better carried out.
Preferably, the primary evaluation index corresponds to a plurality of secondary evaluation indexes; the state value of the first-level evaluation index can be obtained through the state values of a plurality of corresponding second-level evaluation indexes based on a method of one or more combinations of an entropy weight method, an analytic hierarchy process, a good-bad solution distance method or a Bayesian algorithm.
Preferably, the weight and the relative closeness of each secondary evaluation index are determined, and the state value corresponding to each primary evaluation index is determined according to the state value, the weight and the relative closeness of each secondary evaluation index; the state value of the secondary evaluation index represents the value of the influence factor of each main component of the charging pile, the weight of the secondary evaluation index is determined jointly according to an entropy weight method and an analytic hierarchy process, and the relative closeness of the secondary evaluation index is determined according to a good-bad solution distance method;
the secondary evaluation indexes represent influence factors of main components of the charging pile, and for example, the primary evaluation indexes comprise a power module, a control unit, a metering unit, a charging communication unit, a charging interface and a charging pile body; the secondary evaluation indexes corresponding to the power module comprise input voltage deviation, input current, output voltage, output current deviation, current sharing unbalance degree, module temperature, environment humidity, family defects, maintenance and replacement records or service life and the like.
The method comprises the following steps of obtaining a state value of a secondary evaluation index:
a1, determining the parameter values of the influence factors corresponding to the secondary evaluation indexes respectively;
and A2, mapping parameter values corresponding to the secondary evaluation indexes to different intervals by applying a sigmoid function and a calculation method corresponding to each secondary evaluation index to obtain the state values of the secondary evaluation indexes.
The embodiment relates to the calculation of the state value of a primary evaluation index and the state value of a charging pile, namely, the state value of a primary index is determined according to the state value, the weight and the relative closeness of a secondary index at two places; the method comprises the steps of firstly, determining the state value of the running state of the target charging pile according to the state value, the weight and the relative closeness of each primary evaluation index, and secondly, determining the state value corresponding to each primary evaluation index according to the state value, the weight and the relative closeness of each secondary evaluation index. The weight of a lower index is determined by an entropy weight method and an analytic hierarchy process; determining relative closeness according to a good-bad solution distance method; after the weights and the relative closeness of the lower-level indexes are linearly combined, the state value of the upper-level index is determined by combining the method of the state value of the lower-level index, and the specific calculation process is as follows:
the method comprises the following steps of determining the weight according to an entropy weight method and an analytic hierarchy process:
b1, calculating subjective weight based on analytic hierarchy process; dividing the influence factors of the target state value into multiple categories according to an evaluation index system, and performing weight calculation of an analytic hierarchy process to obtain the subjective weight v of a lower indexi；
Based on m groups of test data, calculating objective weights of n subordinate evaluation indexes by applying an entropy weight method, taking each group of data as a column vector, wherein each column vector consists of state values of n subordinate evaluation indexes, standardizing each column vector by using expressions (1) and (2), calculating the entropy value by using expression (3), and finally calculating the weight of each index by using expression ⑷;
(1) the expression corresponds to an index having a larger numerical value, and (2) the expression corresponds to an index having a smaller numerical value, wherein fijThe data in the column vector represents the state value of the j lower evaluation index of the i-th group data, dijThe data obtained after standardization; ejEntropy values calculated for the normalized column vectors; wherein p isijAs shown in formula (5); u. ofjIs the calculated objective weight of the jth inferior evaluation index;
b3, calculating the comprehensive weight based on a standard deviation method;
the proportion between the subjective weight and the objective weight in the comprehensive weight is calculated by a standard deviation method;
in the formula (5), i is 1 or 2, and σ is a weight vector mainly for distinguishing two weight vectors1Is the standard deviation, σ, of the subjective weight vector2Is the standard deviation, mu, of the objective weight vector1Is a proportion of the subjective weight, mu2Is a proportion of the objective weight;
the comprehensive weight calculation formula is as follows:
Wi＝μ1vi+μ2ui(i＝1，2，......，n) (6)
in the formula (6), WiFor the i-th subordinate evaluation index comprehensive weight vector, v, determined jointly by the entropy weight method and the analytic hierarchy processiIs the objective weight of the i-th subordinate evaluation index, uiIs the objective weight of the i-th subordinate evaluation index; mu.s1Is a proportion of the subjective weight, mu2Is a proportion of the objective weight.
The step of determining the relative closeness according to the good and bad solution distance method is as follows:
based on the mapped index data, the relative closeness of each evaluation index is calculated by applying a good-bad solution distance method TOPSIS (technique for order preference by Similarity to an Ideal solution), and the basic steps are as follows:
g1, calculating the distance D between each evaluation object and the optimal solutioni +And the distance D to the worst solutioni -；
Wherein x isiFor the mapped index data, Ri +For the mapped optimal solution of the index, Ri -Is the worst solution of the mapped indexes.
G2, calculating the relative closeness C of each evaluation objecti，CiThe larger the value is, the more excellent the representation evaluation object is;
the embodiment relates to two points, wherein the state value of the superior index is determined according to the state value, the weight and the relative closeness of the inferior index; the method comprises the steps of firstly, determining the state value of the running state of the target charging pile according to the state value, the weight and the relative closeness of each primary evaluation index, and secondly, determining the state value corresponding to each primary evaluation index according to the state value, the weight and the relative closeness of each secondary evaluation index. In this embodiment, the state value of the higher-level index is determined by linearly combining the weight and the relative closeness of the lower-level index and combining the state value, and the specific calculation process is as follows:
wherein Score is the state value of the upper index, WiIs the weight of the i-th lower index,
is the transpose of the relative proximity matrix of the i-th lower index.
Example 4
Corresponding to the above method embodiment, the present embodiment further provides a readable storage medium, and a readable storage medium described below and a charging pile fault diagnosis method described above may be referred to correspondingly.
A readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the charging pile fault diagnosis method of the above method embodiment.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.
The foregoing is merely a detailed description of specific embodiments of the invention and is not intended to limit the invention. Various alterations, modifications and improvements will occur to those skilled in the art without departing from the spirit and scope of the invention.
Claims (9)
1. A charging pile fault diagnosis system, comprising: the device comprises a data acquisition module, a data analysis module, an alarm module and a component fault diagnosis assembly; the data acquisition module, the component fault diagnosis assembly, the data analysis module and the alarm module are sequentially connected;
the data acquisition module is used for acquiring parameters of charging pile components, and the charging pile components comprise but are not limited to a power module, a control unit, a metering unit, a charging communication unit, a charging interface and a charging pile body;
the component fault diagnosis assembly is used for carrying out fault analysis on the charging pile component according to the data acquired by the data acquisition module to obtain a state value of the charging pile component;
the data analysis module is used for calculating a state value of the charging pile according to the state value of the charging pile component obtained by the fault diagnosis assembly and judging whether the alarm module is started or not;
the alarm module is used for executing alarm operation.
2. The charging pile fault diagnosis system of claim 1, wherein the fault diagnosis component comprises one or a combination of a power module fault diagnosis module, a control unit fault diagnosis module, a metering unit fault diagnosis module, a billing communication unit fault diagnosis module, a charging interface fault diagnosis module and a charging pile body fault diagnosis module.
3. The charging pile fault diagnosis system according to claim 1, wherein the data analysis module comprises a state value module, and the state value module is used for dividing the state interval according to a change rule of the state value from large to small.
4. The charging pile fault diagnosis system according to claim 3, wherein the data analysis module comprises a state value change module, and the state value change module is used for calculating a historical state value and a current state value of the charging pile and judging whether to start the alarm module.
5. A fault diagnosis method for a charging pile is characterized by comprising the following steps:
101, a data acquisition module acquires parameters of a charging pile and sends the parameters to a fault diagnosis component;
102, the fault diagnosis component carries out fault analysis on the charging pile component according to the data acquired by the data acquisition module to obtain a state value of the charging pile component, and sends the state value of the charging pile component to the data analysis module;
103, the data analysis module calculates a state value of the charging pile according to the state value of the charging pile component, and judges whether to start the alarm module, if the alarm module is started, step 104 is executed, and if the alarm module is not started, the fault diagnosis is finished, and the next fault diagnosis is waited;
and 104, executing alarm operation by the alarm module.
6. The charging pile fault diagnosis method according to claim 5, wherein in the step 103, the data analysis module divides state intervals according to a change rule of the state value values from large to small, the state intervals are divided into four intervals of normal, attention, abnormity and serious, the state values x, x ∈ [0, 100] of the charging piles are x ∈ [85, 100] of the charging piles belong to a normal state, the charging piles belong to an attention state if x ∈ [65, 85 ], the charging piles belong to an abnormal state if x ∈ (45, 65) of the charging piles belong to a serious state, and the charging piles belong to a serious state if x ∈ [0, 45 ].
7. The charging pile fault diagnosis method according to claim 5, wherein the step 103 further calculates a state value change value, and determines the state of the charging pile by comprehensively considering the state value of the charging pile and the state value change value.
8. The charging pile fault diagnosis method according to claim 7, wherein the change value is a difference value between a historical detection value and a current detection value of the charging pile, the difference value is delta x, delta x ∈ (-100,100), the difference value is divided into 4 sections, [ -100, 5], (5, 30], (30, 50] and (50, 100], specifically, the charging pile belongs to a normal state if x ∈ [85, 100] and delta x ∈ [ -100, 5], the charging pile belongs to an attention state if x ∈ [65, 85 ] or delta x ∈ (5, 30], the charging pile belongs to an abnormal state if x ∈ (45, 65) or delta x ∈ (30, 50 '), and the charging pile belongs to a serious state if x ∈ [0, 45] or delta x ∈ (50, 100').
9. A readable storage medium, characterized in that the readable storage medium stores thereon a computer program, which when executed by a processor, implements the steps of the charging pile fault diagnosis method according to any one of claims 5 to 8.
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