CN115545241A - Charging pile state identification method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to the technical field of charging piles, and provides a charging pile state identification method and device, electronic equipment and a storage medium. The method comprises the following steps: determining historical order data of the target charging pile; extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile; and determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period. The state of the charging pile can be determined by analyzing based on the existing historical order data, the defects that the field inspection and verification cost is too high and the abnormal state which does not influence the operation of the charging pile is not easy to find are overcome, and the state of the charging pile is accurately and quickly identified.
Description
Technical Field
The invention relates to the technical field of charging piles, in particular to a charging pile state identification method and device, electronic equipment and a storage medium.
Background
Fill electric pile and as electric automobile charging station, can charge for the electric automobile of various models according to the voltage class of difference. In order to ensure the safety of the charging process, the state of the charging pile needs to be monitored, and the abnormal state of the charging pile is identified in time. At present, the identification of the abnormal state of the charging pile comprises two modes, the first mode is that the related information is automatically reported to a server after the charging pile has a functional fault, and the second mode is that the state of the charging pile is obtained by periodically polling and periodically verifying the charging pile.
However, the first mode lacks the report of the non-functional fault which does not affect the use of the charging pile, the second mode has higher comprehensive cost, and the abnormal timeliness is found to be affected by the cycle of the inspection and verification, so that the abnormal state cannot be found in time.
Disclosure of Invention
The invention provides a charging pile state identification method, a charging pile state identification device, electronic equipment and a storage medium, which are used for solving the defects that in the prior art, the field inspection verification cost is too high, and abnormal states which do not influence the charging pile operation are not easy to find, and realizing accurate and rapid identification of the charging pile state.
The invention provides a charging pile state identification method, which comprises the following steps:
determining historical order data of the target charging pile;
extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile;
and determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period.
According to the charging pile state identification method provided by the invention, the time sequence characteristics of the target charging pile are extracted cycle by cycle based on the historical order data of the target charging pile, and the method comprises the following steps:
dividing the historical order data of the target charging pile according to the period, and eliminating the historical order data of the target charging pile in the period of the holiday;
and extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile after the period of the holiday is removed.
According to the charging pile state identification method provided by the invention, the determining of the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period comprises the following steps:
judging the relation between the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period one by one;
if the time sequence characteristics of any period do not meet the statistical indexes of any period, determining that the target charging pile is in an abnormal state;
and if the time sequence characteristics of each period all meet the statistical indexes of the time sequence characteristics of each period, determining that the target charging pile is in a normal state.
According to the charging pile state identification method provided by the invention, the statistical index of any period is determined, and the method comprises the following steps:
acquiring time sequence characteristics from the ith period to the (i + n) th period, wherein i is a positive integer, and n is the minimum number of periods from which stable time sequence characteristics can be extracted;
and determining a statistical index of the (i + n + 1) th cycle time sequence characteristic based on the time sequence characteristics of the ith cycle to the (i + n) th cycle.
According to the charging pile state identification method provided by the invention, the step of determining the statistical index of the (i + n + 1) th cycle time sequence feature based on the time sequence features from the ith cycle to the (i + n) th cycle comprises the following steps:
determining a statistical index of the (i + n + 1) th cycle time series characteristics based on the mean and three times of standard deviation of the time series characteristics of the (i + n) th cycle to the (i + n) th cycle.
According to the charging pile state identification method provided by the invention, the time sequence characteristics of the target charging pile comprise the average charging time, the average charging power and the average charging electric quantity of the target charging pile.
According to the charging pile state identification method provided by the invention, before determining the historical order data of the target charging pile, the method further comprises the following steps:
acquiring historical order data of the charging pile to be processed for screening;
determining the historical order data of the charging pile to be processed as the historical order data of the target charging pile based on the screening passing result of the historical order data of the charging pile to be processed;
the screening conditions comprise order data duration of the charging records, order quantity and average charging electric quantity of each order.
According to the charging pile state identification method provided by the invention, the screening passing result of the historical order data of the charging pile to be processed comprises the following steps:
the charging method comprises the steps that the charging record data time length in the historical order data of the charging pile to be processed is larger than or equal to a first threshold value, the order quantity of the historical order data of the charging pile to be processed is larger than or equal to a second threshold value, and the average charging electric quantity of each order in the historical order data of the charging pile to be processed is larger than or equal to a third threshold value.
The invention also provides a charging pile state recognition device, which comprises:
the input module is used for determining historical order data of the target charging pile;
the characteristic extraction module is used for extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile;
and the state identification module is used for determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period.
The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the charging pile state identification method.
The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, implementing the charging pile state identification method according to any one of the above-mentioned methods.
The invention also provides a computer program product comprising a computer program which, when executed by a processor, implements any of the above-described methods of charging post status identification.
According to the charging pile state identification method, the charging pile state identification device, the electronic equipment and the storage medium, firstly, historical order data existing in a charging pile receiving transaction platform are fully utilized, real-time order data do not need to be monitored, and the charging pile state identification method has obvious cost advantages. Meanwhile, due to the fact that the data of the charging piles in a certain period have similarity, the historical data are subjected to feature extraction in a periodic mode, slight differences of working states of different charging piles can be considered, the possible abnormal states of the charging piles can be found when the charging piles still work, and the charging pile state abnormity identification timeliness is high.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a charging pile state identification method provided by the invention;
fig. 2 is a second schematic flow chart of the charging pile status identification method according to the present invention;
fig. 3 is a schematic structural diagram of a charging pile state identification device provided by the invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the process of networking charging of the charging pile and the server, charging order information can be generated when charging is started, and meanwhile, in the whole charging process, the charging pile reports related charging order information in real time, such as charging current, voltage, electric quantity and the like of a charging order. The order reported in real time is monitored in a state, the cost is high, and the data does not necessarily meet the processing requirement. Therefore, an embodiment of the present invention provides a charging pile state identification method based on historical order data, which is described below with reference to fig. 1 to fig. 2.
As shown in fig. 1, the method of the embodiment of the present invention at least includes the following steps:
102, extracting time sequence characteristics of the target charging pile cycle by cycle based on historical order data of the target charging pile;
and 103, determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period.
With reference to step 101, it should be noted that order data is continuously generated during the operation of the charging pile, that is, an order is generated during each charging, including: charging start time, charging end time, charging quantity, charging fee and other charging user related information. Typical order data is shown in table 1:
TABLE 1
In addition, the historical order data selected by the embodiment of the invention is derived from the existing data of the existing charging pile transaction platform, the current data does not need to be acquired immediately, and the problem of overhigh field inspection and verification cost is solved. According to the method provided by the embodiment of the invention, the statistical indexes are required to be obtained according to the characteristics of the historical data so as to judge the change trend of the data, so that the order data of the target charging pile is required to be selected as the object of state identification in the embodiment of the invention.
With respect to step 102, it should be noted that, because the charging pile user has sufficient randomness, the relevant characteristics of the charging pile related to the abnormal state tend to be stable over a longer time scale. The method of the embodiment of the invention divides the period for the historical order data based on the characteristic, and extracts the time sequence characteristics cycle by cycle according to the divided period. For example, when the selected period is one week, the order data of the same number of days in different weeks on a long time scale should be similar, and the periodic extraction can reflect the regularity of the data.
Specifically, the time sequence characteristics of the target charging pile include an average charging duration, an average charging power and an average charging electric quantity of the target charging pile. According to the invention, the charging time, the charging quantity and the charging power information of the charging pile are extracted from the order data to serve as time sequence characteristics, so that the characteristics of the charging pile related to the abnormal state can be better reflected.
For step 103, it should be noted that the principle according to which the state of the target charging pile is determined is as follows:
if it is unusual to fill electric pile metering module, then fill electric pile actual charging process and not influenced, there is the deviation in its electric quantity of charging and the real electric quantity of charging at every turn, shows that it is not influenced, the electric quantity of charging changes on average, average charging power changes for the length of time of charging on average.
If the charging pile power module is abnormal, the AC-DC conversion efficiency is reduced, the actual charging process of the charging pile is influenced, the charging process is slower than the normal process, but the charging electric quantity metering is not influenced, namely, the required electric quantity of each full vehicle is still correctly metered. The average charging time length is prolonged, the average charging electric quantity is unchanged, and the average charging power is changed.
If the charging pile power module is abnormal, the AC-DC conversion efficiency is reduced, and the charging pile metering module is also abnormal, the actual charging process of the charging pile is influenced, and the charging electric quantity metering is also influenced. The average charging time length is longer, the average charging capacity is changed, and the average charging power is also changed.
Due to the fact that the existing method is not easy to find the abnormity which does not affect the charging operation of the charging pile, such as metering abnormity, power supply module AC-DC conversion efficiency abnormity and the like. Therefore, according to the embodiment of the invention, the change trend of each period compared with the previous data can be seen according to the statistical indexes of the average charging time, the average charging power and the average charging electric quantity of the charging pile, so that the abnormal conditions of the charging pile metering module and the charging pile power supply module can be determined.
Specifically, the statistical indexes are generally used for evaluating the central tendency and the discrete tendency of data, sufficient information cannot be provided only by applying the central tendency, and the data can be better understood by combining the central tendency and the discrete degree. The statistical indicators describing the central tendency in the present embodiment may be mean, median, and mode, and the statistical indicators describing the discrete tendency may be range, variance, and standard deviation.
The charging pile state identification method provided by the embodiment of the invention can be used for analyzing based on the existing historical order data to determine the state of the charging pile, and solves the problem of overhigh field inspection and verification cost. Meanwhile, due to the fact that the data of the charging piles in a certain period have similarity, the historical data are subjected to feature extraction in a periodic mode, slight differences of working states of different charging piles can be considered, and based on judgment of statistical indexes, state abnormity which does not affect charging operation of the charging piles can be discriminated, and abnormal states can be found in time.
It can be understood that, based on the historical order data of the target charging pile, the time sequence characteristics of the target charging pile are extracted cycle by cycle, including:
dividing historical order data of the target charging piles according to periods, and eliminating the historical order data of the target charging piles in the period of holidays;
and extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile after the period of the holiday is removed.
It should be noted that, in the embodiment of the present invention, the period is divided according to the total number of the historical order data, for example, the duration of the historical order data is 6 months, and then the period may be set to seven days a week, for example, the period is smaller and is not easy to reflect regularity. Also, the period may be set to a number of weeks based on longer historical order data. Because the utilization rate and the service condition of the festival and holiday charging pile are greatly different from the working day and the ordinary weekend, the extracted time sequence features are not stable enough if the extracted time sequence features are reserved easily. Therefore, historical order data of the target charging pile in the period of the holiday are eliminated, and the influence of the holiday on the utilization rate and the use condition of the charging pile is fully considered.
Specifically, a method for calculating the time-series feature extracted in one week as one cycle is as follows:
the average charging time of each charging in one cycle is shown as formula 1:
wherein the content of the first and second substances,
is a sequence number of the cycle number,
is shown as
The average charge duration per charge (per order) of the target charging post for each week,
is shown as
The target charging pile is shared in each week
The secondary charging is carried out on the secondary battery,
is shown as
The first of the week target charging pile
The start time of the sub-charging is,
，
denotes the first
The first of the week target charging pile
End time of the secondary charge.
The average charge capacity per charge in one cycle is as shown in equation 2:
wherein the content of the first and second substances,
is shown as
The average charge capacity per charge (per order) of the target charging post for each week,
denotes the first
The first of the week target charging pile
The secondary charge amount.
The average charging power per charging in one cycle is as follows:
wherein the content of the first and second substances,
denotes the first
Average charging power per charging (per order) for a weekly target charging post.
According to the method, after data including holidays are eliminated, time series characteristic data of the target charging pile are obtained as shown in table 2, wherein week number counting is started by the next monday of the date of starting analysis:
TABLE 2
It can be understood that, based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period, determining the state of the target charging pile includes:
judging the relation between the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period one by one;
if the time sequence characteristics of any period do not meet the statistical indexes of any period, determining that the target charging pile is in an abnormal state;
and if the time sequence characteristics of each period meet the statistical indexes of the time sequence characteristics of each period, determining that the target charging pile is in a normal state.
It should be noted that, in the embodiment of the present invention, a preset state discrimination model is called to determine the relationship between the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period one by one. The model is used for analyzing the characteristic data of the current period and judging whether the state of the target charging pile is abnormal or not. And for the target charging pile, if one period time sequence characteristic does not meet the statistical index of the period time sequence characteristic, judging the pile as an abnormal charging pile, and outputting the pile to an abnormal charging pile list. And on the premise that the time sequence characteristics of all periods of the target charging pile meet corresponding statistical indexes, the target charging pile can be judged to be a normal charging pile. Therefore, the condition that any missed detection does not occur to the target charging pile can be guaranteed, and the recognition rate of abnormal states which are difficult to find is improved.
It can be understood that, before determining the historical order data of the target charging pile, the method further includes:
acquiring historical order data of the charging pile to be processed for screening;
determining historical order data of the charging pile to be processed as historical order data of the target charging pile based on a screening passing result of the historical order data of the charging pile to be processed;
the screening conditions comprise the order data time length of the charging record, the order quantity and the average charging electric quantity of each order.
It should be noted that, before determining the target charging pile, the method according to the embodiment of the present invention needs to screen the acquired historical order data of the to-be-processed charging pile according to a preset principle, for example, acquire order data of the to-be-processed charging pile in the past year, analyze the order data, and if the duration, the data volume, and the charging amount in the order of the order data meet requirements, use the to-be-processed charging pile as the target charging pile, and splice the order data meeting the requirements in the order data in the past year into the historical order data. The method and the device increase the screening of historical order data, and can execute subsequent state discrimination only when the order data meet the analysis conditions, thereby ensuring the accuracy of the subsequent discrimination.
It can be understood that the result of the screening of the historical order data of the charging pile to be processed includes:
the charging method comprises the steps that the charging record data time length in historical order data of the charging pile to be processed is larger than or equal to a first threshold value, the order quantity of the historical order data of the charging pile to be processed is larger than or equal to a second threshold value, and the average charging capacity of each order in the historical order data of the charging pile to be processed is larger than or equal to a third threshold value.
It should be noted that the charging record data indicates that there is at least one charging record a day, that is, there is at least one order in a day, and the number of days in which there is a charging record can be counted when calculating the data in which there is a charging record. The first threshold is the minimum duration of the charging record data, for example, for historical order data of a year, the first threshold is six months, that is, it is to be determined whether the duration of the charging record data of the historical order data of the charging pile to be processed is greater than or equal to six months. The second threshold value may be the minimum amount of orders per month or the minimum historical amount of orders per month, and when the second threshold value is the minimum amount of orders per month, the second threshold value is 100 for historical order data of a year, that is, it is necessary to determine whether there is a charging record month in the historical order data of the charging post to be processed, and the number of orders per month exceeds 100. Or when the second threshold is the minimum historical order number, the second threshold is 500 for the historical order data of one year, that is, it is necessary to judge whether the historical order data of the charging piles to be processed exceeds 500. The third threshold is a minimum value of the average charge per time, for example, the third threshold may be 10kWh.
In addition, if any one threshold value of historical order data of the charging piles to be processed is not met, the data of the current charging piles to be processed are not suitable for the method, and the data are added to the charging pile list which cannot be judged.
It will be appreciated that determining the statistical indicator for any one cycle includes:
acquiring time sequence characteristics from the ith period to the (i + n) th period, wherein i is a positive integer, and n is the minimum number of periods from which stable time sequence characteristics can be extracted;
and determining the statistical index of the (i + n + 1) th cycle time sequence characteristic based on the time sequence characteristics from the ith cycle to the (i + n) th cycle.
It should be noted that, the principle of the discrimination model of the method is that the average charging time, the average charging power and the average charging capacity of the charging pile tend to be stable on a longer time scale, so that the method has higher accuracy only by selecting the time sequence characteristic data of the longer time scale to extract the statistical index. As an example, for historical order data of at least 6 months for the target charging post, the selected period is 7 days a week, and the historical order data includes at least 26 periods. n can be 19, that is, the statistical index is calculated by using the feature data of 19 weeks before the current cycle to judge whether the features of the current cycle meet the abnormal state condition corresponding to the statistical index.
It is understood that, based on the time series characteristics of the ith cycle to the (i + n) th cycle, determining the statistical index of the time series characteristics of the (i + n + 1) th cycle includes:
and determining the statistical index of the (i + n + 1) th cycle time sequence characteristic based on the mean value and three times of standard deviation of the time sequence characteristics from the ith cycle to the (i + n) th cycle.
It should be noted that, the method for detecting an anomaly using a feature mean and a triple standard deviation as a boundary is a relatively general anomaly detection rule, and in addition, other anomaly detection rules may be used in the embodiment of the present invention, and any detection rule that can reflect a feature variation trend by a statistical index is suitable for the method. Specifically, after obtaining the historical order data of the target charging pile, when the (i + n + 1) th period is judged, the judging method at least comprises the following steps:
step A1, setting i =1, n =19.
Step A2, calculating characteristic data of the charging pile to be analyzed from the ith week to the (i + 19) th week
、
、
The mean and standard deviation of (a) are respectively recorded as:
、
and
and are and
、
and
。
step A3, respectively judging the characteristic data of the i +20 th week
、
、
Whether or not it is in the range
，
And
and (4) the following steps.
And if the three characteristic data are in the corresponding ranges, the state of the target charging pile is normal, executing the step A5, otherwise, judging that the state of the target charging pile is abnormal, and executing the step A4.
And A4, judging that the target charging pile is an abnormal charging pile, and adding the target charging pile to an abnormal charging pile list. The flow ends.
And step A5, enabling i = i +1, and repeatedly executing the steps A2 and A3 until all time sequence characteristic data are analyzed. If the target charging pile is judged to be an abnormal charging pile at any time, outputting the pile to an abnormal charging pile list, and ending the process; and if the time sequence characteristic data are analyzed to be abnormal, judging the target charging pile with the time sequence characteristic as a normal charging pile, and adding the normal charging pile into a normal charging pile list.
It should be noted that the three timing characteristics calculated by the method
、
、
Charging duration and charging quantity information related to the charging pile in historical order data are fully utilized. Meanwhile, the periodic characteristics of the use frequency of the charging pile are fully considered in the week unit. Through the data analysis, the method is suitable for various types of charging piles, is not influenced by the types of the charging piles and operators, and has the characteristics of flexible and controllable analysis time and analysis frequency.
As shown in fig. 2, it can be understood that the embodiment of the present invention also discloses a process of a charging pile state identification method, which includes at least the following steps:
step B1, starting an identification task;
b2, acquiring historical order data of the charging pile to be processed;
it should be noted that the historical order data may be order data accumulated in a database.
B3, judging whether historical order data of the charging pile to be processed meet analysis conditions or not;
if the analysis condition is met, executing the step B4;
and if the analysis conditions are not met, adding the charging piles to be processed into the charging pile list which can not be judged, and ending the process.
B4, determining the charging pile to be processed as a target charging pile and calculating multi-dimensional characteristic data related to abnormal detection based on historical order data;
it should be noted that the multidimensional characteristic data related to the anomaly detection includes an average charging duration, an average charging power, and an average charging capacity of the target charging pile.
B5, calling a state abnormity discrimination model to analyze current characteristic data and discriminating whether the target charging pile has abnormal state;
it should be noted that the abnormal state judgment model is established according to the sufficient randomness of the charging pile user, the model includes corresponding statistical index ranges corresponding to the three multi-dimensional feature data, no abnormal state exists when the current feature data meets the three statistical index ranges, and the abnormal state exists when any one statistical index range does not meet the statistical index ranges.
If not, adding the charging pile into a normal charging pile list, and ending the process;
and if so, adding the abnormal charging pile list to the abnormal charging pile list, and ending the process.
The charging pile state identification device provided by the invention is described below, and the charging pile state identification device described below and the charging pile state identification method described above can be referred to correspondingly. As shown in fig. 3, the charging pile state identification apparatus according to the embodiment of the present invention includes:
the input module 301 is used for determining historical order data of the target charging pile;
the characteristic extraction module 302 is used for extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile;
the state identification module 303 is configured to determine a state of the target charging pile based on the cycle time sequence characteristics and the statistical indexes of the cycle time sequence characteristics;
the charging pile state identification device provided by the invention has the advantages that the historical order data existing in the charging pile transaction platform are fully utilized, the real-time order data do not need to be monitored, and the charging pile state identification device has obvious cost advantage. Simultaneously, because the data of filling electric pile in certain cycle have the similarity, consequently carry out the feature extraction to historical data with periodic mode, can consider the slight difference of the operating condition of different electric piles of filling, realize finding its possible abnormal state when filling electric pile still can the during operation, it is efficient to the unusual discernment timeliness of filling electric pile state.
It can be understood that, in the feature extraction module 302, the time sequence features of the target charging pile are extracted cycle by cycle based on the historical order data of the target charging pile, and the time sequence features include:
dividing historical order data of the target charging piles according to periods, and eliminating the historical order data of the target charging piles in the period of holidays;
and extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile after the period of the holiday is removed.
It can be understood that, in the state identification module 303, the determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period includes:
judging the relation between the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period one by one;
if the time sequence characteristics of any period do not meet the statistical indexes of any period, determining that the target charging pile is in an abnormal state;
and if the time sequence characteristics of each period meet the statistical indexes of the time sequence characteristics of each period, determining that the target charging pile is in a normal state.
It will be appreciated that determining the statistical indicator for any one cycle includes:
acquiring time sequence characteristics from the ith period to the (i + n) th period, wherein i is a positive integer, and n is the minimum number of periods from which stable time sequence characteristics can be extracted;
and determining the statistical index of the (i + n + 1) th cycle time sequence characteristic based on the time sequence characteristics from the ith cycle to the (i + n) th cycle.
It is understood that, based on the time series characteristics of the ith cycle to the (i + n) th cycle, determining the statistical index of the time series characteristics of the (i + n + 1) th cycle includes:
and determining the statistical index of the (i + n + 1) th cycle time sequence feature based on the mean value and three times of standard deviation of the time sequence features from the ith cycle to the (i + n) th cycle.
It is to be understood that, before the input module 301 determines the historical order data of the target charging pile, it further includes:
acquiring historical order data of the charging pile to be processed for screening;
determining historical order data of the charging pile to be processed as historical order data of the target charging pile based on a screening passing result of the historical order data of the charging pile to be processed;
the screening conditions comprise order data duration of the charging records, order quantity and average charging electric quantity of each order.
It can be understood that the screening of the historical order data of the charging pile to be processed passes the results, and the screening comprises the following steps:
the charging method comprises the steps that the charging record data time length in historical order data of the charging pile to be processed is larger than or equal to a first threshold value, the order quantity of the historical order data of the charging pile to be processed is larger than or equal to a second threshold value, and the average charging capacity of each order in the historical order data of the charging pile to be processed is larger than or equal to a third threshold value.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor) 410, a communication Interface 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform a charging post status identification method comprising:
determining historical order data of the target charging pile;
extracting time sequence characteristics of the target charging pile cycle by cycle based on historical order data of the target charging pile;
and determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, where the computer program product includes a computer program, the computer program may be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer is capable of executing the charging pile state identification method provided by the above methods, where the method includes:
determining historical order data of the target charging pile;
extracting time sequence characteristics of the target charging pile cycle by cycle based on historical order data of the target charging pile;
and determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period.
In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the charging pile state identification method provided by the above methods, the method including:
determining historical order data of the target charging pile;
extracting time sequence characteristics of the target charging pile cycle by cycle based on historical order data of the target charging pile;
and determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on the understanding, the above technical solutions substantially or otherwise contributing to the prior art may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method of various embodiments or some parts of embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (11)
1. A charging pile state identification method is characterized by comprising the following steps:
determining historical order data of the target charging pile;
extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile;
and determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period.
2. The charging pile state identification method according to claim 1, wherein the extracting the time sequence feature of the target charging pile cycle by cycle based on the historical order data of the target charging pile comprises:
dividing the historical order data of the target charging pile according to the period, and eliminating the historical order data of the target charging pile in the period of the holiday;
and extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile after the period of the holiday is removed.
3. The charging pile state identification method according to claim 1 or 2, wherein the determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period comprises:
judging the relation between the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period one by one;
if the time sequence characteristics of any period do not meet the statistical indexes of any period, determining that the target charging pile is in an abnormal state;
and if the time sequence characteristics of each period all meet the statistical indexes of the time sequence characteristics of each period, determining that the target charging pile is in a normal state.
4. The method for identifying the state of the charging pile according to claim 3, wherein the step of determining the statistical index of any period comprises the following steps:
acquiring time sequence characteristics from the ith period to the (i + n) th period, wherein i is a positive integer, and n is the minimum number of periods from which stable time sequence characteristics can be extracted;
and determining a statistical index of the (i + n + 1) th cycle time sequence characteristic based on the (i + n) th cycle to (i + n) th cycle time sequence characteristics.
5. The charging pile state identification method according to claim 4, wherein the determining the statistical indicator of the (i + n + 1) th cycle time sequence feature based on the time sequence features from the ith cycle to the (i + n) th cycle comprises:
determining a statistical index of the (i + n + 1) th cycle time series feature based on the mean and three times the standard deviation of the time series features of the i to (i + n) th cycles.
6. The charging pile state identification method according to claim 1, wherein the time sequence characteristics of the target charging pile comprise an average charging duration, an average charging power and an average charging capacity of the target charging pile.
7. The charging pile state identification method according to claim 1, before determining the historical order data of the target charging pile, further comprising:
acquiring historical order data of a charging pile to be processed for screening;
determining that the historical order data of the charging pile to be processed is the historical order data of the target charging pile based on the screening passing result of the historical order data of the charging pile to be processed;
the screening conditions comprise the order data time length of the charging record, the order quantity and the average charging electric quantity of each order.
8. The charging pile state identification method according to claim 7, wherein the screening of the historical order data of the charging pile to be processed comprises:
the charging method comprises the steps that the charging record data time length in the historical order data of the charging pile to be processed is larger than or equal to a first threshold value, the order quantity of the historical order data of the charging pile to be processed is larger than or equal to a second threshold value, and the average charging capacity of each order in the historical order data of the charging pile to be processed is larger than or equal to a third threshold value.
9. A charging pile state recognition device, comprising:
the input module is used for determining historical order data of the target charging pile;
the characteristic extraction module is used for extracting the time sequence characteristics of the target charging pile cycle by cycle based on the historical order data of the target charging pile;
and the state identification module is used for determining the state of the target charging pile based on the time sequence characteristics of each period and the statistical indexes of the time sequence characteristics of each period.
10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the charging pile state identification method according to any one of claims 1 to 7 when executing the program.
11. A non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the charging pile state identification method according to any one of claims 1 to 7.
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