CN116373662A - Charging equipment health degree assessment method, device and system and readable storage medium - Google Patents
Charging equipment health degree assessment method, device and system and readable storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
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Abstract
The application discloses a charging equipment health degree assessment method, a device, a system and a readable storage medium, wherein the charging equipment health degree assessment method comprises the following steps: collecting operation parameters of the charging equipment, and analyzing to obtain abnormal parameters in the operation parameters; the health degree of the charging equipment is evaluated according to the abnormal parameters, and the health degree evaluation state of the charging equipment is obtained; and generating an optimal operation strategy of the charging equipment according to the health evaluation state, and correcting the working state of the charging equipment. The method and the device realize fault prediction of the charging equipment, can prevent the continuous deterioration of the health condition of the charging equipment, and improve the service life of the equipment.
Description
Technical Field
The present disclosure relates to the field of battery technologies, and in particular, to a method, an apparatus, a system, and a readable storage medium for evaluating the health of a charging device.
Background
The problems of energy crisis, environmental pollution, greenhouse effect and the like are increasingly serious, higher energy saving and emission reduction requirements are put forward for the automobile industry, and besides the technical innovation of the traditional automobile is further carried out to improve the energy saving and emission reduction effects, the development of new energy automobiles has become the necessary trend of automobile industry revolution.
The charging device is an energy source of the electric vehicle, and in order to ensure that the electric vehicle can safely, stably and efficiently operate, necessary management and control are required to be performed on the charging device. It is therefore necessary to determine the health of the charging device, but currently the charging device sets a fixed fault threshold for the operation parameter in terms of fault judgment, and when the operation data of the parameter exceeds the set threshold, the charging device gives a warning and protects. The fault judging mode is single, and can be found only when the fault of the charging equipment is formed or serious and irreversible, so that the service life of a plurality of charging equipment is reduced, the resource waste is caused, and the great trouble is brought to users. Therefore, the existing health evaluation method of the charging equipment cannot predict the faults of the charging equipment in time, and the continuous deterioration of the health condition of the charging equipment is easy to cause.
Disclosure of Invention
The main objective of the present application is to provide a method, a device, a system and a readable storage medium for evaluating the health of a charging device, which aims at solving the problem that the method for evaluating the health of the charging device cannot predict the failure of the charging device in time.
In order to achieve the above object, the present application provides a charging device health degree evaluation method, including the steps of:
collecting operation parameters of the charging equipment, and analyzing to obtain abnormal parameters in the operation parameters;
the health degree of the charging equipment is evaluated according to the abnormal parameters, and the health degree evaluation state of the charging equipment is obtained;
and generating an optimal operation strategy of the charging equipment according to the health evaluation state, and correcting the working state of the charging equipment.
Optionally, the step of collecting the operation parameters of the charging device and analyzing to obtain abnormal parameters in the operation parameters includes:
collecting operation parameters of the charging equipment after continuously operating for a preset period of time;
recording data to be analyzed in the operation parameters under the same working conditions;
and obtaining abnormal data in the operation parameters according to the data to be analyzed.
Optionally, before the step of recording the data to be analyzed under the same working condition in the operation parameters, the method further includes:
respectively recording output current parameters in the operation parameters in the same current preset dividing interval according to a plurality of preset current dividing intervals;
according to a plurality of preset voltage dividing intervals, respectively recording input voltage parameters in operation parameters in the same voltage preset dividing interval;
according to a plurality of preset temperature dividing sections, respectively recording the environmental temperature parameters in the operation parameters in the same temperature preset dividing section;
and judging the working conditions of the charging equipment in the same current preset dividing interval, the same voltage preset dividing interval and the same temperature preset dividing interval as the same working conditions.
Optionally, the step of recording the data to be analyzed in the same operating condition in the operating parameters includes:
recording data to be analyzed of the charging equipment under the same working condition, wherein the data to be analyzed comprise equipment temperature, insulation value, leakage current value and power consumption value.
Optionally, the step of obtaining abnormal data in the operation parameters according to the data to be analyzed includes:
acquiring historical average data corresponding to the data to be analyzed;
comparing the data to be analyzed with the historical average data, and obtaining a difference value between the data to be analyzed and the historical average data;
and when the difference value is larger than a preset threshold value, judging the data to be analyzed as abnormal data.
Optionally, the step of obtaining abnormal data in the operation parameters according to the data to be analyzed further includes:
acquiring historical average data corresponding to the data to be analyzed, and obtaining a change amplitude corresponding to the historical average data;
and when the variation amplitude is larger than a preset amplitude, judging the data to be analyzed as abnormal data.
Optionally, after the step of correcting the working state of the charging device according to the health evaluation state, the method further includes:
and sending the health status to a terminal device corresponding to the charging device.
In addition, to achieve the above object, the present invention also provides a charging device health degree evaluation apparatus including:
the data acquisition module is used for acquiring the operation parameters of the charging equipment and analyzing and obtaining abnormal parameters in the operation parameters;
the evaluation module is used for evaluating the health degree of the charging equipment according to the abnormal parameters to obtain the health degree evaluation state of the charging equipment;
and the adjusting module is used for correcting the working state of the charging equipment according to the health degree evaluation state.
In addition, to achieve the above object, the present invention also provides a charging device health degree evaluation system including: the health assessment system comprises a memory, a processor and a health assessment program stored on the memory and capable of running on the processor, wherein the health assessment program realizes the steps of the charging equipment health assessment method when being executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a health degree evaluation program which, when executed by a processor, implements the steps of the charging device health degree evaluation method as described above.
The invention provides a method, a device and a system for evaluating the health degree of a charging device and a readable storage medium, wherein the method for evaluating the health degree of the charging device comprises the following steps: collecting operation parameters of the charging equipment, and analyzing to obtain abnormal parameters in the operation parameters; the health degree of the charging equipment is evaluated according to the abnormal parameters, and the health degree evaluation state of the charging equipment is obtained; and generating an optimal operation strategy of the charging equipment according to the health evaluation state, and correcting the working state of the charging equipment. Through the method, the state of the equipment can be judged when the charging equipment has abnormal operation trend by the unique fault judging and health degree evaluating method, so that the judgment of the faults is greatly advanced, the continuous deterioration of the health condition of the charging equipment can be prevented, the service life of the equipment is prolonged, and the waste of resources and the occurrence of accidents are reduced.
Drawings
FIG. 1 is a schematic diagram of a hardware operating environment according to an embodiment of a method for evaluating health of a charging device of the present invention;
FIG. 2 is a flowchart illustrating an embodiment of a method for evaluating health of a charging device according to the present invention;
FIG. 3 is a detailed flowchart of step S10 in an embodiment of the method for evaluating the health of a charging device according to the present invention;
the realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, fig. 1 is a schematic diagram of a terminal structure of a hardware running environment according to an embodiment of the present invention.
The terminal provided by the embodiment of the invention is a charging equipment health degree evaluation system.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a dvi interface 1004, a usb interface 1005, and a memory 1006. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The DVI interface 1004 may optionally include a standard wired interface to connect with other external devices via DVI lines. The USB interface 1005 may optionally include a standard wired interface, which connects to other external devices via a USB connection. The memory 1006 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1006 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the terminal may further include audio circuits and the like, which are not described herein.
It will be appreciated by those skilled in the art that the terminal structure shown in fig. 1 is not limiting of the terminal and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a DVI interface module, a USB interface module, a user interface module, and a health evaluation program may be included in the memory 1006, which is one type of computer storage medium.
In the terminal shown in fig. 1, the DVI interface 1004 is mainly used for connecting an external device, and performing data communication with the external device; the USB interface 1005 is mainly used for connecting an external device, and performing data communication with the external device; the user interface 1003 is mainly used for connecting a client and communicating data with the client; and the processor 1001 may be configured to call a health assessment program stored in the memory 1006 and perform the following operations:
collecting operation parameters of the charging equipment, and analyzing to obtain abnormal parameters in the operation parameters;
the health degree of the charging equipment is evaluated according to the abnormal parameters, and the health degree evaluation state of the charging equipment is obtained;
and generating an optimal operation strategy of the charging equipment according to the health evaluation state, and correcting the working state of the charging equipment.
Further, the processor 1001 may call the health evaluation program stored in the memory 1006, and further perform the following operations:
collecting operation parameters of the charging equipment after continuously operating for a preset period of time;
recording data to be analyzed in the operation parameters under the same working conditions;
and obtaining abnormal data in the operation parameters according to the data to be analyzed.
Further, the processor 1001 may call the health evaluation program stored in the memory 1006, and further perform the following operations:
respectively recording output current parameters in the operation parameters in the same current preset dividing interval according to a plurality of preset current dividing intervals;
according to a plurality of preset voltage dividing intervals, respectively recording input voltage parameters in operation parameters in the same voltage preset dividing interval;
according to a plurality of preset temperature dividing sections, respectively recording the environmental temperature parameters in the operation parameters in the same temperature preset dividing section;
and judging the working conditions of the charging equipment in the same current preset dividing interval, the same voltage preset dividing interval and the same temperature preset dividing interval as the same working conditions.
Further, the processor 1001 may call the health evaluation program stored in the memory 1006, and further perform the following operations:
recording data to be analyzed of the charging equipment under the same working condition, wherein the data to be analyzed comprise equipment temperature, insulation value, leakage current value and power consumption value.
Further, the processor 1001 may call the health evaluation program stored in the memory 1006, and further perform the following operations:
acquiring historical average data corresponding to the data to be analyzed;
comparing the data to be analyzed with the historical average data, and obtaining a difference value between the data to be analyzed and the historical average data;
and when the difference value is larger than a preset threshold value, judging the data to be analyzed as abnormal data.
Further, the processor 1001 may call the health evaluation program stored in the memory 1006, and further perform the following operations:
acquiring historical average data corresponding to the data to be analyzed, and obtaining a change amplitude corresponding to the historical average data;
and when the variation amplitude is larger than a preset amplitude, judging the data to be analyzed as abnormal data.
Further, the processor 1001 may call the health evaluation program stored in the memory 1006, and further perform the following operations:
and sending the health status to a terminal device corresponding to the charging device.
The specific embodiment of the system for evaluating the health degree of the charging device of the present invention is substantially the same as the embodiments of the health degree evaluation program described below, and will not be described herein.
Referring to fig. 2, fig. 2 is a flowchart of a first embodiment of a method for evaluating the health of a charging device according to the present invention, where the method for evaluating the health of a charging device includes the following steps:
step S10, collecting operation parameters of the charging equipment, and analyzing and obtaining abnormal parameters in the operation parameters;
in this embodiment, the charging device is mainly a battery provided on a new energy vehicle, and of course, the charging device may also be a battery in other devices, for example, an electric bicycle or an electric motorcycle, and the invention is not limited herein. The operation parameters comprise parameters such as input voltage, output voltage, input current, output current, ambient temperature, equipment temperature, insulation value, leakage current, relay adhesion state, fan state, power consumption and the like of the charging equipment.
In an embodiment, the step S10 further includes:
step S11, collecting operation parameters of the charging equipment after continuously operating for a preset period of time;
in this embodiment, in order to collect the operation parameters of the charging device in the stable state, to avoid the situation that the health assessment is inaccurate due to the instability of each operation parameter caused by the charging device just started, the operation parameters may be collected after the charging device is operated for a period of time, and the preset time period is preferably set to 5 minutes, and of course, a person skilled in the art may also set different preset time periods according to the needs.
In addition, after the operation parameter is collected, the operation parameter and the preset safety threshold corresponding to the operation parameter may be directly compared, when the operation parameter is greater than the preset safety threshold, the step S20 is directly executed, and when the operation parameter is less than the preset safety threshold, the step S12 is executed. Through the steps, when the operation parameter is larger than the safety threshold, the health degree of the charging equipment can be directly evaluated, the subsequent analysis process is avoided, and the data processing efficiency is improved.
Step S12, recording data to be analyzed in the same working condition in the operation parameters;
in one embodiment, the step S12 includes:
step A121, recording data to be analyzed of the charging equipment under the same working condition;
in this embodiment, the same working conditions refer to the same output current parameter, input voltage parameter and external temperature parameter, and the data to be analyzed includes data such as device temperature, insulation value, leakage current value, power consumption value, and the like. For example, when the output current parameter is 20-25A, the input voltage is 240-250V, and the external environment parameter is 20-25 ℃, the data such as the equipment temperature, the insulation value, the leakage current value, the power consumption value and the like under the working condition are recorded when the charging equipment reaches the working condition every time; for example, when the output current parameter is 25-30A, the input voltage is 250-260V, and the external environment parameter is 25-30 ℃, the data such as the equipment temperature, the insulation value, the leakage current value, the power consumption value and the like under the working condition are recorded when the charging equipment reaches the working condition every time.
In another embodiment, before the step S12, the method further includes:
step a, respectively recording output current parameters in operation parameters in the same current preset dividing interval according to a plurality of preset current dividing intervals;
step b, according to a plurality of preset voltage dividing intervals, respectively recording input voltage parameters in the operation parameters in the same voltage preset dividing interval;
step c, according to a plurality of preset temperature dividing intervals, respectively recording the environmental temperature parameters in the operation parameters in the same temperature preset dividing interval;
in this embodiment, the output current parameter, the input voltage parameter, and the ambient temperature parameter are all values within a range, and do not refer to specific values.
Specifically, the current division section is divided as follows:
current interval A 1 ＝a 1 ≤a＜a 2 I.e. at A 1 All current values of the interval are recorded as an output current parameter;
current interval A 2 ＝a 2 ≤a＜a 3 I.e. at A 2 All current values of the interval are recorded as an output current parameter;
current interval A 3 ＝a 3 ≤a＜a 4 I.e. at A 3 All current values of the interval are recorded as an output current parameter;
current interval A n ＝a n ≤a＜a n +1
Wherein a is 1 、a 2 、a 3 、a 4 ………a n Outputting a current value for the charging device, and a 1 ＜a 2 ＜a 3 ＜a 4 ＜………a n 。
The input voltage interval is divided as follows:
voltage interval U 1 ＝u 1 ≤u＜u 2 I.e. in U 1 All voltage values of the interval are recorded as an input voltage parameter;
voltage interval U 2 ＝u 2 ≤u＜u 3 I.e. in U 2 All voltage values of the interval are recorded as an input voltage parameter;
voltage interval U 3 ＝u 3 ≤u＜u 4 I.e. in U 3 All voltage values of the interval are recorded as an input voltage parameter;
voltage interval U n ＝u n ≤u＜u n +1
Wherein u is 1 、u 2 、u 3 、u 4 ………u n Inputting a voltage value for the charging device, and u 1 ＜u 2 ＜u 3 ＜u 4 ＜………u n 。
The external ambient temperature interval is divided as follows:
temperature interval T 1 ＝t 1 ≤t＜t 2 I.e. at T 1 All temperature values in the interval are recorded as an environmental temperature parameter;
temperature interval T 2 ＝t 2 ≤t＜t 3 I.e. at T 2 All temperature values in the interval are recorded as an environmental temperature parameter;
temperature interval T 3 ＝t 3 ≤t＜t 4 I.e. at T 3 All temperature values in the interval are recorded as an environmental temperature parameter;
temperature interval T n ＝t n ≤t＜t n +1
Wherein t is 1 、t 2 、t 3 、t 4 ………t n Is the external environment temperature value of the charging equipment, and t 1 ＜t 2 ＜t 3 ＜t 4 ＜………t n 。
And d, judging the working conditions of the charging equipment in the same current preset dividing interval, the same voltage preset dividing interval and the same temperature preset dividing interval as the same working conditions.
In this embodiment, the same working conditions refer to the same output current parameter, input voltage parameter and external temperature parameter, and the specific description is described with reference to the above embodiment, which is not repeated herein. By making different current dividing sections, voltage dividing sections and temperature dividing sections and taking all current values, voltage values and temperature values in the corresponding sections as the judgment basis of the same working conditions, the data can be classified, and the evaluation efficiency and accuracy of subsequent health evaluation can be improved.
And step S13, obtaining abnormal data in the operation parameters according to the data to be analyzed.
In an embodiment, the step S13 further includes:
step A131, obtaining historical average data corresponding to the data to be analyzed;
step A132, comparing the data to be analyzed with the historical average data, and obtaining a difference value between the data to be analyzed and the historical average data;
and step A133, judging that the data to be analyzed is abnormal data when the difference value is larger than a preset threshold value.
In this embodiment, the historical average data refers to data recorded each time the health degree evaluation is performed in the past. Comparing the data to be analyzed acquired in real time with the historical average data, calculating a difference value between the data to be analyzed and the historical average data, and representing the difference between the data to be analyzed and the historical average data by using the difference value, wherein when the difference value is larger than a preset threshold value, the difference value indicates that the data to be analyzed has a larger difference between the data to be analyzed and the historical average data, and the data to be analyzed can be represented as abnormal data.
In an embodiment, the step S13 further includes:
step A134, obtaining historical average data corresponding to the data to be analyzed, and obtaining a change amplitude corresponding to the historical average data;
and step A134, judging that the data to be analyzed is abnormal data when the variation amplitude is larger than a preset amplitude.
In this embodiment, the historical average data refers to an average value of all the data recorded when the health degree evaluation was performed in the past; the change amplitude refers to the change trend of the historical average data, including increase and decrease, and can be represented by the difference between the maximum historical average data and the minimum historical average data. And when the variation amplitude is larger than the preset safety amplitude, the data to be analyzed are abnormal data. In addition, when the charging device operating parameter is recorded for the first time, then the historical average of that parameter is considered to be equal to the value recorded for that time.
Step S20, the health degree of the charging equipment is evaluated according to the abnormal parameters, and the health degree evaluation state of the charging equipment is obtained;
in the present embodiment, the health degree evaluation state may be expressed in the form of a percentage, for example, health degrees of 100%, 90%, 80%, and the like. In the process of evaluation, the evaluation can be performed according to the degree of deviation between the abnormal parameter and the normal value, namely, the history average value, and when the degree of deviation is large, the degree of health is lower, and when the degree of deviation is small, the degree of health is higher.
And step S30, generating an optimal operation strategy of the charging equipment according to the health evaluation state, and correcting the working state of the charging equipment.
In this embodiment, when the health degree is low, an optimal operation policy for the charging device is generated, so that the charging device works according to the optimal operation policy to correct the working state of the charging device. For example, when the health is low, less than 50%, the charging device may be directly controlled to stop operating, preventing the state of the charging device from continuously deteriorating. Or when the health degree is 90%, and when the temperature of the charging equipment is higher, the output of the charging equipment can be reduced, so that the working temperature of the charging equipment is reduced, and the higher health degree is achieved.
In an embodiment, after the step S30, the method further includes:
step A40, the health status is sent to a terminal device corresponding to the charging device;
in this embodiment, the terminal device may be a mobile phone, a tablet, or other devices that are bound to the charging device, and after obtaining the health status, may push the health status to the mobile phone of the user, so that the user may timely learn the health status of the charging device, and further may take measures to perform manual intervention on the charging device.
The invention provides a charging equipment health degree assessment method, which comprises the following steps: collecting operation parameters of the charging equipment, and analyzing to obtain abnormal parameters in the operation parameters; the health degree of the charging equipment is evaluated according to the abnormal parameters, and the health degree evaluation state of the charging equipment is obtained; and generating an optimal operation strategy of the charging equipment according to the health evaluation state, and correcting the working state of the charging equipment. Through the method, the state of the equipment can be judged when the charging equipment has abnormal operation trend by the unique fault judging and health degree evaluating method, so that the judgment of the faults is greatly advanced, the continuous deterioration of the health condition of the charging equipment can be prevented, the service life of the equipment is prolonged, and the waste of resources and the occurrence of accidents are reduced.
In addition, an embodiment of the present invention also proposes a computer-readable storage medium, on which a health degree evaluation program is stored, which when executed by a processor, implements the operations of:
collecting operation parameters of the charging equipment, and analyzing to obtain abnormal parameters in the operation parameters;
the health degree of the charging equipment is evaluated according to the abnormal parameters, and the health degree evaluation state of the charging equipment is obtained;
and generating an optimal operation strategy of the charging equipment according to the health evaluation state, and correcting the working state of the charging equipment.
Further, the position detection program when executed by the processor further performs the following operations:
collecting operation parameters of the charging equipment after continuously operating for a preset period of time;
recording data to be analyzed in the operation parameters under the same working conditions;
and obtaining abnormal data in the operation parameters according to the data to be analyzed.
Further, the position detection program when executed by the processor further performs the following operations:
respectively recording output current parameters in the operation parameters in the same current preset dividing interval according to a plurality of preset current dividing intervals;
according to a plurality of preset voltage dividing intervals, respectively recording input voltage parameters in operation parameters in the same voltage preset dividing interval;
according to a plurality of preset temperature dividing sections, respectively recording the environmental temperature parameters in the operation parameters in the same temperature preset dividing section;
and judging the working conditions of the charging equipment in the same current preset dividing interval, the same voltage preset dividing interval and the same temperature preset dividing interval as the same working conditions.
Further, the position detection program when executed by the processor further performs the following operations:
recording data to be analyzed of the charging equipment under the same working condition, wherein the data to be analyzed comprise equipment temperature, insulation value, leakage current value and power consumption value.
Further, the position detection program when executed by the processor further performs the following operations:
acquiring historical average data corresponding to the data to be analyzed;
comparing the data to be analyzed with the historical average data, and obtaining a difference value between the data to be analyzed and the historical average data;
and when the difference value is larger than a preset threshold value, judging the data to be analyzed as abnormal data.
Further, the position detection program when executed by the processor further performs the following operations:
acquiring historical average data corresponding to the data to be analyzed, and obtaining a change amplitude corresponding to the historical average data;
and when the variation amplitude is larger than a preset amplitude, judging the data to be analyzed as abnormal data.
Further, the position detection program when executed by the processor further performs the following operations:
and sending the health status to a terminal device corresponding to the charging device.
The present invention also proposes a computer-readable storage medium on which a computer program is stored. The computer readable storage medium may be the Memory 02 in the mass spectrometer of fig. 1, or may be at least one of ROM (Read-Only Memory)/RAM (Random Access Memory ), magnetic disk, optical disk, etc., and the computer readable storage medium includes a plurality of information for causing the mass spectrometer to perform the method according to the embodiments of the present invention.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A charging device health degree evaluation method, characterized in that the charging device health degree evaluation method comprises the steps of:
collecting operation parameters of the charging equipment, and analyzing to obtain abnormal parameters in the operation parameters;
the health degree of the charging equipment is evaluated according to the abnormal parameters, and the health degree evaluation state of the charging equipment is obtained;
and generating an optimal operation strategy of the charging equipment according to the health evaluation state, and correcting the working state of the charging equipment.
2. The method for evaluating health of a charging device according to claim 1, wherein the step of collecting operation parameters of the charging device and analyzing to obtain abnormal parameters among the operation parameters comprises:
collecting operation parameters of the charging equipment after continuously operating for a preset period of time;
recording data to be analyzed in the operation parameters under the same working conditions;
and obtaining abnormal data in the operation parameters according to the data to be analyzed.
3. The charging device health assessment method according to claim 2, characterized by further comprising, before said step of recording data to be analyzed under the same operating conditions in said operating parameters:
respectively recording output current parameters in the operation parameters in the same current preset dividing interval according to a plurality of preset current dividing intervals;
according to a plurality of preset voltage dividing intervals, respectively recording input voltage parameters in operation parameters in the same voltage preset dividing interval;
according to a plurality of preset temperature dividing sections, respectively recording the environmental temperature parameters in the operation parameters in the same temperature preset dividing section;
and judging the working conditions of the charging equipment in the same current preset dividing interval, the same voltage preset dividing interval and the same temperature preset dividing interval as the same working conditions.
4. A charging apparatus health assessment method according to claim 3, wherein said step of recording data to be analyzed in the same operating conditions in said operating parameters comprises:
recording data to be analyzed of the charging equipment under the same working condition, wherein the data to be analyzed comprise equipment temperature, insulation value, leakage current value and power consumption value.
5. The method of evaluating health of a charging device according to claim 4, wherein the step of obtaining abnormal data in the operation parameters from the data to be analyzed comprises:
acquiring historical average data corresponding to the data to be analyzed;
comparing the data to be analyzed with the historical average data, and obtaining a difference value between the data to be analyzed and the historical average data;
and when the difference value is larger than a preset threshold value, judging the data to be analyzed as abnormal data.
6. The charging device health evaluation method according to claim 1, wherein the step of obtaining abnormal data in the operation parameters from the data to be analyzed further comprises:
acquiring historical average data corresponding to the data to be analyzed, and obtaining a change amplitude corresponding to the historical average data;
and when the variation amplitude is larger than a preset amplitude, judging the data to be analyzed as abnormal data.
7. The method of evaluating the health of a charging device according to claim 1, further comprising, after the step of correcting the operating state of the charging device according to the health evaluation state:
and sending the health status to a terminal device corresponding to the charging device.
8. A charging device health degree evaluation apparatus, characterized in that the charging device health degree evaluation apparatus comprises:
the data acquisition module is used for acquiring the operation parameters of the charging equipment and analyzing and obtaining abnormal parameters in the operation parameters;
the evaluation module is used for evaluating the health degree of the charging equipment according to the abnormal parameters to obtain the health degree evaluation state of the charging equipment;
and the adjusting module is used for correcting the working state of the charging equipment according to the health degree evaluation state.
9. A charging device health assessment system, characterized in that the charging device health assessment system comprises: a memory, a processor, and a health assessment program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the charging device health assessment method of any one of claims 1 to 7.
10. A readable storage medium, characterized in that the computer readable storage medium has stored thereon a health evaluation program which, when executed by a processor, implements the steps of the charging device health evaluation method of any one of claims 1 to 7.
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| CN116872775A (en) * | 2023-09-08 | 2023-10-13 | 武汉宏联电线电缆有限公司 | Charging management method, system, device and medium for charging equipment |
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| CN116872775A (en) * | 2023-09-08 | 2023-10-13 | 武汉宏联电线电缆有限公司 | Charging management method, system, device and medium for charging equipment |
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