CN112731165A

CN112731165A - Satellite storage battery current data abnormal type identification method and device

Info

Publication number: CN112731165A
Application number: CN202011455648.XA
Authority: CN
Inventors: 林海晨; 李卫平; 郭小红; 周轩; 蔡立锋; 赵静; 张雷; 李辉; 李肖瑛; 石江; 程富强; 潘艳辉; 高波; 王健博
Original assignee: China Xian Satellite Control Center
Current assignee: China Xian Satellite Control Center
Priority date: 2020-12-10
Filing date: 2020-12-10
Publication date: 2021-04-30
Anticipated expiration: 2040-12-10
Also published as: CN112731165B

Abstract

The disclosure relates to a satellite storage battery current data abnormity type identification method and device. The method comprises the following steps: acquiring satellite storage battery current data, wherein the satellite storage battery current data comprises current values of a plurality of sampling points and sampling time of each sampling point; determining at least one current value change rule according to the satellite storage battery current data; acquiring the weight corresponding to each current value change rule in at least one current value change rule, and acquiring the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule; and determining the data abnormality type of the satellite storage battery current data according to the weight percentage. According to the technical scheme, the data exception type of the satellite storage battery current data is automatically determined on the premise of no need of manual processing, the difficulty of determining the data exception type of the satellite storage battery current data is reduced, the reliability of satellite management according to the satellite storage battery current data is improved, and user experience is improved.

Description

Satellite storage battery current data abnormal type identification method and device

Technical Field

The disclosure relates to the technical field of spacecraft data processing, in particular to a method and a device for identifying abnormal types of current data of a satellite storage battery.

Background

Satellites are devices that are launched into space with space vehicles such as rockets, space shuttles, etc., and that circle the earth or other planets like natural satellites. The ground control terminal can receive satellite storage battery current data generated by different information sources on the satellite in order to acquire data acquired by the satellite or in order to acquire the state of the satellite. According to the acquired satellite storage battery current data, the short-term change rule and the long-term change trend of the satellite storage battery current data can be determined, so that the management of the satellite is improved.

With the development of science and technology, the functions of the on-orbit satellite are more and more abundant, and the matched transceiver, transmission channel and the like are also gradually complicated. Accordingly, the satellite storage battery current data acquired by the ground control terminal initially contains more abnormal values, namely, the satellite storage battery current data is abnormal or wrong. In order to avoid being affected by an abnormality or an error in the satellite battery current data when the satellite is managed based on the satellite battery current data, it may be determined manually whether the abnormality or the error occurs in the satellite battery current data. However, in recent years, the satellite storage battery current data generally has large data volume and exceeds the limit of manual processing, so that the efficiency of manually processing the satellite storage battery current data is greatly reduced, the difficulty of determining whether the satellite storage battery current data is abnormal is increased, the reliability of satellite management according to the satellite storage battery current data is reduced, and the user experience is damaged.

Disclosure of Invention

In order to overcome the problems in the related art, embodiments of the present disclosure provide a method and an apparatus for identifying an abnormal type of satellite battery current data. The technical scheme is as follows:

according to a first aspect of the embodiments of the present disclosure, there is provided a satellite storage battery current data abnormality type identification method, including:

acquiring satellite storage battery current data, wherein the satellite storage battery current data comprises current values of a plurality of sampling points and sampling time of each sampling point;

determining at least one current value change rule according to the satellite storage battery current data;

acquiring the weight corresponding to each current value change rule in at least one current value change rule, and acquiring the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule;

and determining the data abnormality type of the satellite storage battery current data according to the weight percentage.

In one embodiment, determining at least one current value variation law from satellite battery current data comprises:

determining at least one sampling point corresponding to the satellite operation period according to the sampling time of each sampling point;

acquiring an original current value change rule of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period;

and acquiring a standard current value change rule corresponding to each satellite operation period, and determining a current value change rule according to the similarity between the standard current value change rule corresponding to each satellite operation period and the original current value change rule of each satellite operation period.

In one embodiment, at least one satellite operation period includes a sunshine period and a shadow period.

In one embodiment, the current value change rule includes a sunshine period supplementary charging current value change rule, a shadow period heavy current charging current value change rule, a sunshine period supplementary discharging current value change rule, and a shadow period heavy current discharging current value change rule.

In one embodiment, before determining the corresponding sampling point of the at least one satellite operation period according to the sampling time of each sampling point, the method further comprises:

acquiring the difference of current values of every two continuous sampling points in the satellite storage battery current data;

when the difference between the current values of any two continuous sampling points in the satellite storage battery current data is larger than or equal to a first preset charging and discharging current threshold value, determining any two continuous sampling points as single-step jump characteristic nodes;

obtaining the original current value change rule of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period, wherein the original current value change rule comprises the following steps:

and acquiring an original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period.

In one embodiment, the original current value variation law includes duration of the charging and discharging current in at least one current value range and a jump condition of the charging and discharging current between two current value ranges.

In an embodiment, before obtaining an original current value change rule of each satellite operation period according to a current value of a single-step jump characteristic node corresponding to each satellite operation period and a sampling time of the single-step jump characteristic node corresponding to each satellite operation period, the method further includes:

when the difference between the current values of the first two continuous sampling points and the difference between the current values of the last two continuous sampling points in any four continuous sampling points in the satellite storage battery current data are both larger than a second preset charging and discharging current threshold value, and the difference between the current value of the first sampling point and the current value of the last sampling point in any four continuous sampling points is larger than or equal to the first preset charging and discharging current threshold value, determining any four continuous sampling points as a multi-step jump characteristic node;

obtaining an original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, wherein the original current value change rule comprises the following steps:

and obtaining an original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period, the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, the current value of the multi-step jump characteristic node corresponding to each satellite operation period and the sampling time of the multi-step jump characteristic node corresponding to each satellite operation period.

In one embodiment, the data anomaly type of the satellite battery current data includes charging current data normal, charging current data fault tolerance, charging current data anomaly, discharging current data normal, discharging current data fault tolerance, discharging current data anomaly.

According to a second aspect of the embodiments of the present disclosure, there is provided a satellite storage battery current data abnormality type identification device including:

the satellite storage battery current data acquisition module is used for acquiring satellite storage battery current data, and the satellite storage battery current data comprises current values of a plurality of sampling points and sampling time of each sampling point;

the current value change rule determining module is used for determining at least one current value change rule according to the satellite storage battery current data;

the weight obtaining module is used for obtaining the weight corresponding to each current value change rule in at least one current value change rule and obtaining the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule;

and the data anomaly type determining module is used for determining the data anomaly type of the satellite storage battery current data according to the weight percentage.

According to a third aspect of the embodiments of the present disclosure, there is provided a satellite storage battery current data abnormality type identification device including:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

According to the technical scheme provided by the embodiment of the disclosure, at least one current value change rule is determined according to current data of the satellite storage battery by acquiring current values of a plurality of sampling points and sampling time of each sampling point, wherein the current value change rule is used for indicating the change of the current value when the corresponding abnormality or error occurs in the current data of the satellite storage battery. Obtaining the weight corresponding to each current value change rule in at least one current value change rule, obtaining the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule, since the weight percentage can more comprehensively reflect the influence of abnormal or wrong data in the satellite storage battery current data on all the satellite storage battery current data, therefore, the data anomaly type of the satellite storage battery current data can be accurately determined according to the weight percentage, therefore, on the premise of no need of manual processing, the data exception type of the satellite storage battery current data is automatically determined, the difficulty of determining the data exception type of the satellite storage battery current data is reduced, the reliability of satellite management according to the satellite storage battery current data is improved, and the user experience is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

FIG. 1 is a schematic flow diagram illustrating a method for identifying an anomaly type of satellite battery current data in accordance with an exemplary embodiment;

FIG. 2 is a schematic flow diagram illustrating a method for identifying an anomaly type of satellite battery current data, according to an exemplary embodiment;

FIG. 3 is a schematic flow diagram illustrating a method for identifying an anomaly type of satellite battery current data, according to an exemplary embodiment;

FIG. 4 is a schematic flow diagram illustrating a method for identifying an anomaly type of satellite battery current data, according to an exemplary embodiment;

fig. 5 is a schematic structural diagram illustrating a satellite battery current data abnormality type identification apparatus according to an exemplary embodiment;

fig. 6 is a block diagram illustrating a satellite battery current data abnormality type identification apparatus according to an exemplary embodiment.

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

With the development of science and technology, the number of on-orbit satellites is gradually increased, and the service life of the satellites is prolonged. Along with the rapid increase of the satellite battery current data acquired by the ground control terminal, the number of telemetering parameters in the satellite battery current data is increased to hundreds or even tens of thousands. Meanwhile, the on-orbit satellite has more and more abundant functions, and the matched transceiver, transmission channel and the like are also gradually complicated. Accordingly, the satellite storage battery current data acquired by the ground control terminal initially contains more abnormal values, namely, the satellite storage battery current data is abnormal or wrong. In order to avoid being affected by an abnormality or an error in the satellite battery current data when the satellite is managed based on the satellite battery current data, it may be determined manually whether the abnormality or the error occurs in the satellite battery current data.

However, in recent years, the current data of the satellite storage battery is generally large in data volume, and by taking only sampling data of a certain high-orbit satellite north storage battery for 1 year as an example, the data volume is up to 574MB, the accumulation time of human experience knowledge is long, comparison analysis standards are complex and various and are difficult to quantify, so that the difficulty in determining whether the current data of the satellite storage battery is abnormal or wrong is increased, the working efficiency is low, the normalization and the stability are poor and exceed the limit of manual processing, the efficiency of manually processing the current data of the satellite storage battery is greatly reduced, the difficulty in determining whether the current data of the satellite storage battery is abnormal is increased, the reliability of satellite management according to the current data of the satellite storage battery is reduced, and user experience is damaged.

In order to solve the above problem, in the technical solution provided in the embodiments of the present disclosure, at least one current value change rule is determined according to satellite storage battery current data by obtaining a current value including a plurality of sampling points and sampling time of each sampling point, where the current value change rule is used to indicate a change in current value when the satellite storage battery current data is abnormal or wrong correspondingly. Obtaining the weight corresponding to each current value change rule in at least one current value change rule, obtaining the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule, since the weight percentage can more comprehensively reflect the influence of abnormal or wrong data in the satellite storage battery current data on all the satellite storage battery current data, therefore, the data anomaly type of the satellite storage battery current data can be accurately determined according to the weight percentage, therefore, on the premise of no need of manual processing, the data exception type of the satellite storage battery current data is automatically determined, the difficulty of determining the data exception type of the satellite storage battery current data is reduced, the reliability of satellite management according to the satellite storage battery current data is improved, and the user experience is improved.

The embodiment of the disclosure provides a satellite storage battery current data abnormality type identification method, fig. 1 is a flow chart illustrating the satellite storage battery current data abnormality type identification method according to an exemplary embodiment, and as shown in fig. 1, the method includes the following steps 101 to 104:

101. and acquiring satellite storage battery current data.

The satellite storage battery current data comprises current values of a plurality of sampling points and sampling time of each sampling point.

For example, the satellite battery current data may be acquired by downloading the satellite battery current data from a satellite or by reading the satellite battery current data stored in advance on the ground. The current value comprises at least one of a main bus load current value, a storage battery pack charging current value, a storage battery pack discharging current value and a shunt current value of a shunt regulator.

In one embodiment, the satellite battery current data is obtained by obtaining the satellite battery current data based on at least one of the target year information and the target satellite identification.

For example, the target year information and the target satellite identifier may be preset, or may be obtained from other devices or systems.

For example, when the ground terminal stores data of a plurality of satellites in a plurality of years in advance, the data stored in advance on the ground terminal may be divided according to the satellite identifiers of the plurality of satellites and the information of the plurality of years to obtain satellite battery current data, wherein the obtained satellite battery current data may include satellite battery current data of a single satellite, and the acquisition time of the satellite battery current data may belong to a single year. Further, when the data stored in advance on the ground side includes a plurality of satellite battery current data, the data stored in advance on the ground side may be further divided according to the satellite identifications of the plurality of satellites, the year information of the plurality of years, and the satellite battery current data information of the plurality of satellite battery current data to acquire the satellite battery current data, wherein the acquired satellite battery current data includes a single type of satellite battery current data of a single satellite, and the acquisition time of the satellite battery current data belongs to a single year.

For example, the data stored in advance on the ground side includes 30 downlink data of 6 satellites of a certain platform acquired in 3-9 years, and the data stored in advance on the ground side is divided according to the satellite and the year to acquire 1176 satellite battery current data.

102. And determining at least one current value change rule according to the satellite storage battery current data.

For example, the variation law of the supplementary charging current value during the sunshine period may be as follows:

a1, the current value changes steadily at the low charging current value, the amplitude variation is less than 0.1A, and the duration is more than 10000 seconds;

a2, jumping the current value from a low-level charging current value to a high-level charging current value in a single step, wherein the time interval of the two current values is less than 100s, and the amplitude variation is more than 5.0A and less than 8.0A;

a3, in the sunshine period, the current value is at the high charging current value and changes steadily in the time interval less than 100s, and the amplitude variation is less than 1.0A;

a4, in the sunshine period, the current value jumps from a high-position charging current value to a middle-position charging current value in a single step, the time interval of the two current values is less than 100s, and the amplitude variation is more than 2.0A and less than 4.5A;

a5, in the sunshine period, the current value is at the middle charging current value, and is changed steadily in the time interval less than 100s, and the amplitude variation is less than 1.0A;

a6, in the sunshine period, the current value jumps from the neutral charging current value to the trickle charging current value in a single step, the time interval of the two current values is less than 100s, and the amplitude variation is more than 2.0A and less than 4.5A;

a7, in sunshine period, the current value is at trickle charge current value, and changes steadily in the time of more than 20000 seconds and less than 200000 seconds, and the amplitude variation is less than 0.1A;

a8, in sunshine period, the current value jumps from the charging trickle value to the low charging current value in a single step, the time interval of the two current values is less than 100s, and the amplitude variation is more than 0.15A and less than 0.4A.

When the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually expressed according to the conditions described by A1-A8, determining the current value change rule of the current values of the plurality of continuous sampling points as the supplement charging current value change rule in the sunshine period.

The change rule of the large-current charging current value in the shadow period can be as follows:

b1, the current value changes steadily at the low charging current value or the trickle charging current value, the amplitude change amount is less than 0.1A, and the duration is less than 80000 seconds.

B2, in a shadow period, the current value jumps from a low charging current value or a trickle charging current value to a peak value of the charging current, the time interval of the two current values is less than 100s, and the amplitude variation is more than 1.0A and less than 5.0A.

B3, in a shadow period, the current value is gradually and monotonically jumped from the peak value of the image charging current to the valley value of the penumbra charging current or the low-level value of the ghost charging current from large to small, the single step time interval is less than 50s, the amplitude increment and decrement are less than 0.5A, the amplitude range from the peak value to the valley value of the penumbra charging current is 0.2A-5.0A, the time interval is less than 1000s, the amplitude range from the peak value to the low-level value of the ghost charging current is 1.0A-5.0A, and the time interval is less than 200 s.

B4, in the shadow period, the current value changes steadily at the global charging current low-average value, the amplitude variation is less than 0.1A, and the duration is less than 5000 s.

B5, in a shadow period, the current value jumps from the valley value of the penumbra charging current or the low-average value of the total shadow charging current to the peak value of the shadow charging current from small to large in a monotonous manner, the single step time intervals are all smaller than 50s, the increment of the amplitude is all smaller than 0.5A, the range from the valley value of the penumbra charging current to the peak value is 2.0A-8.0A, and the time intervals are all smaller than 1000 s. The range of the low flat value to the peak value of the ghost charging current is 5.5A-8.0A, and the time interval is less than 1000 s.

And B6, in a shadow period, the current value is at a large-current charging current value and is stably changed within a time interval which is more than 1000s and less than 25000s, and the amplitude variation is less than 1.0A.

B7, in a shadow period, the current value jumps from a large charging current value to a small charging current value in a single step, the time interval of the two current values is less than 100s, and the amplitude variation is more than 5.0A and less than 8.0A.

B8, shadow period, the current value is at trickle charge current value, it changes steadily in the time less than 80000s, the amplitude variation is less than 0.1A.

B9, a shadow period, wherein the current value is transited from the charging trickle value to a low charging current value in a single step, the time interval of the two current values is less than 100s, and the amplitude variation is more than 0.15A and less than 0.4A.

B10, in the shadow period, the current value jumps from the large current charging current value to the moon shadow charging current valley value from large current value to small monotonously, the single step time interval is less than 200s, the amplitude increment and decrement is less than 0.5A, the amplitude range of the two current values is 0.0A-7.0A, and the time interval is less than 5000 s.

B11, shadow period, the current value is at the half shadow charging current valley value or the independent moon shadow charging current valley value, and the duration is less than 500 s.

B12, in a shadow period, the current value jumps from the valley value of the moon shadow charging current to a large current charging current value from small to large monotonically step by step, the single step time interval is less than 200s, the increment of the amplitude is less than 0.5A, the amplitude range of the two current values is 0.0A-7.0A, and the time interval is less than 5000 s.

When the current values of a plurality of continuous sampling points in the satellite storage battery current data are represented step by step according to the conditions described by B1-B9, or the current values of a plurality of continuous sampling points in the satellite storage battery current data are represented step by step according to the conditions described by B1-B3, B11 and B5-B9, or the current values of a plurality of continuous sampling points in the satellite storage battery current data are represented step by step according to the conditions described by B10, B11, B12 and B6-B9, determining the current value change rule of the current values of the plurality of continuous sampling points as the shadow period large current charging current value change rule.

The change rule of the supplementary discharge current value in the sunshine period can be as follows:

c1, the current value changes smoothly at low discharge current value, and the amplitude variation is less than 0.5 & I_FSThe duration is more than 10000 seconds;

c2, during sunshine period, the current value is jump from low level discharge current value to high level discharge current value in single step, the time interval is less than 100s, and the amplitude variation is more than 3. I_FSAnd less than 7. I_FS；

C3, in sunshine period, the current value is at high discharge current value, and changes steadily in short time interval (less than 100s), and the amplitude variation is less than 0.5. I_FS；

C4, in sunshine period, the current value jumps from high discharge current value to middle discharge current value in single step, the time interval is less than 100s, and the amplitude variation is more than 1.5. I_FSAnd less than 3.5. I_FS；

C5, sunshine period, current value in middleThe bit discharge current value changes steadily in a short time interval (less than 100s), and the amplitude variation is less than 0.5 & I_FS；

C6, during sunshine period, the current value is jump from middle discharge current value to low discharge current value in single step, the time interval is less than 100s, and the amplitude variation is more than 1.5. I_FSAnd less than 3.5. I_FS。

When the current values of a plurality of continuous sampling points in the satellite storage battery current data are gradually expressed according to the conditions described by C1-C6, determining the current value change rule of the current values of the plurality of continuous sampling points as the supplement discharge current value change rule in the sunshine period.

The change rule of the large-current discharge current value in the shadow period can be as follows:

d1, the current value changes smoothly at low level discharge current value, and the amplitude variation is less than 0.5 & I_FSDuration less than 80000 seconds;

d2, in a shadow period, jumping the current value from a low-level discharge current value to a large-current discharge current initial value in a single step, wherein the time interval is less than 100s, and the amplitude variation is more than 0.1A;

d3, in a shadow period, the current value jumps from the initial value of the large-current discharge current to the initial value of the large-current deep discharge gradually and monotonously to the negative value of the current with larger absolute value, the time interval of each step of jump is less than 100s, the amplitude variation is less than 5.0A, the amplitude variation of the two current values is less than 35.0A, and the time interval is less than 1000 s;

d4, in a shadow period, the current value gradually jumps slowly from the initial value of the heavy-current deep discharge to a negative value of the current with a larger absolute value in the up-and-down fluctuation until the extreme value of the heavy-current discharge current, the time interval of each step of jump is less than 1000s, the amplitude variation is less than 5.0A, the amplitude variation of the two current values is less than 20.0A, and the time interval is less than 5000 s;

d5, in a shadow period, keeping the current value at a high-current discharge current extreme value for less than 500 s;

d6, in the shadow period, the current value gradually jumps slowly from the extreme value of the large-current discharge current to a negative value of the current with smaller absolute value in the up-down fluctuation until the end value of the large-current deep discharge. The time interval of each step of jumping is less than 100s, the amplitude variation is less than 5.0A, the amplitude variation of the two current values is less than 5.0A, and the time interval is less than 500 s; (ii) a

D7, in a shadow period, the current value jumps from the end value of the heavy current deep discharge to the end value of the heavy current discharge current to a current negative value with a smaller absolute value in a monotonous and rapid mode step by step, the time interval of each step is less than 100s, the amplitude variation is less than 5.0A, the amplitude variation of the two current values is less than 40.0A, and the time interval is less than 500 s;

d8, in a shadow period, jumping the current value from the final value of the large-current discharge current to a low-level discharge current value in a single step, wherein the time interval is less than 100s, and the amplitude variation is more than 0.1A;

d9, in the shadow period, the current value is gradually and monotonously jumped from the low-level discharge current value to the high-level discharge current value, the single step time interval is less than 100s, and the amplitude variation is less than the discharge current quantization reference I_FP2 times of the total weight of the composition; the amplitude range of the two current values is more than 3 and I_FSAnd less than 7. I_FSThe time interval is less than 2000 s;

d10, in shadow period, the current value is at high discharge current value and changes steadily in a long interval (more than 500s and less than 25000s), and the amplitude variation is less than 0.5 & I_FP；

D11, in the shadow period, the current value jumps from the high-order discharge current value to the low-order discharge current value in a single step, the time interval is less than 100s, and the amplitude variation is more than 3 & I_FSAnd less than 7. I_FS。

D12, in a shadow period, gradually jumping to a current negative value with a larger absolute value from a high-current discharge current initial value to a high-current discharge current extreme value in up-and-down fluctuation, wherein the jumping time interval of each step is less than 100s, the amplitude variation is less than 5.0A, the amplitude ranges of the two current values are 0.1A-10.0A, and the time interval is less than 2000 s;

d13, in a shadow period, gradually jumping to a current negative value with a smaller absolute value in up and down fluctuation from a large-current discharge current extreme value to a large-current discharge current final value, wherein the jumping time interval of each step is less than 100s, the amplitude variation is less than 5.0A, the amplitude ranges of the two current values are 0.1A-10.0A, and the time interval is less than 2000 s;

d14, in the shadow period, the current value is gradually and monotonously jumped from the high-order discharge current value to the low-order discharge current value, the single step time interval is less than 100s, the amplitude variation is less than the discharge current quantization reference I_FP2 times of the total weight of the composition; the amplitude range of the two current values is 3. I_FS-7·I_FSThe time interval is less than 2000 s.

When the current values of a plurality of continuous sampling points in the satellite storage battery current data are represented step by step according to the conditions described by D1-D11, or the current values of a plurality of continuous sampling points in the satellite storage battery current data are represented step by step according to the conditions described by D1, D2, D12, D5, D13 and D8-D11, or the current values of a plurality of continuous sampling points in the satellite storage battery current data are represented step by step according to the conditions described by D10, D14, D2, D12, D5, D13 and D8-D11, determining the current value change rule of the current values of the plurality of continuous sampling points as the large-current discharge current value change rule in the shadow period.

For convenience of understanding, part of the names in the above description are explained as follows:

step-by-step change: the current sampling time interval change and the current value change between any two adjacent sampling points are indicated.

Smooth change: the current value of any section of continuous sampling points is changed or kept constant in a fixed range.

Single step jump: the change of different current values is completed by one-step jump between two adjacent sampling points.

Multi-step jumping: the change of different current values is completed by multi-step jump (more than or equal to 2 step jumps) among a plurality of adjacent sampling points.

And (3) a supplementary charging process: it refers to the whole process of charging the storage battery once in the sunshine period.

A large-current charging process: refers to the whole process of charging the storage battery for one time in the shadow period.

Trickle charging process: the whole process that the storage battery is charged continuously by using a small current for preventing the storage battery from being overcharged after the normal charging of the storage battery is finished every time in the sunshine period or the shadow period (namely after the charging by adopting a large current is finished). Generally, in the later stage of the complementary charging process or the later stage of the large-current charging process, the current value jumps from a large value (greater than 1A) to a small current value in a single step, and then the charging is continued for a period of time.

A micro-current charging process: the whole process that the normal charging current keeps relatively stable near zero when the storage battery does not carry out supplementary charging, large-current charging or trickle charging.

Low-level charging current value: the sampling data value of the normal charging current is in the range of 0.0A-0.2A in the time period of micro-current charging of the storage battery.

High-level charging current value: the sampling data value of the current near the maximum value in the normal supplementary charging process in the sunshine period is 5.0A-7.5A.

A median charging current value: the sampling data value is the sampling data value when the current falls back to about half of the high-order charging current value in the normal supplementary charging process in the sunshine period, and the value range is 2.5A-4.5A.

Trickle charge current value: the sampling data value of the current is in the range of 0.2A-0.4A in the normal low-current charging process after the completion of the supplementary charging or the completion of the high-current charging.

Large current charging current value: after the shadow period is finished, the sampling data value of the normal charging current near the maximum value is within the range of 5.5A-8.0A.

Boost charge duration: the time is the time when the charging current value is changed from a low current value to a high or middle current value and then back to a low or low current value when the storage battery is subjected to one-time supplementary charging in the sunshine period.

Duration of heavy current charging: the time that the charging current value is maintained at the large-current charging current value when the storage battery is subjected to large-current charging in the shadow period is referred to.

Shadow charging current peak value: the maximum current value of the normal charging current in the shadow period, which is reached by single step jump from the low-order charging current value when the satellite just starts to enter the shadow in the shadow period, is 1.0A-5.0A.

Charge current value of shadow charge: the current data refers to all current data of which the normal charging current monotonically and gradually decreases from the beginning of the shadow period to the complete shadow period, and the value range of the current data is 0.0A-5.0A.

Valley value of the penumbra charging current: the minimum value of the normal charging current from the beginning of shadow entering to the end of shadow exiting is 0.2A-5.5A when the shadow is a penumbra.

Low-level value of the global charging current: under the condition that the shadow is a full shadow, the value range of the current data from the time when the normal charging current completely enters the shadow to the time when the normal charging current starts to move out of the shadow is 0.0A-0.1A.

The shadow charging current value: all current data of which the normal charging current monotonically and gradually increases from the beginning of shadow removal to the complete shadow removal of the satellite in the shadow period are represented, and the value range of the current data is 0.0A-8.0A.

Peak shadow charging current: the maximum value of the normal charging current after the satellite completely moves out of shadow in the shadow period is 5.5A-8.0A.

Boost charge start time: the method refers to the time when the charging current of the satellite storage battery jumps from a low-level charging current value to a high-level charging current value in a single step in the sunshine period, and the jump time interval is smaller than the low-level current value of 100 s.

Boost charge end time: the method is characterized in that the charging current of the satellite storage battery jumps from a high-order charging current value or a middle-order charging current value to a trickle charging current value or a low-order charging current value in a single step in the sunshine period, and the jumping time interval is less than 100s of the trickle charging current value or the low-order charging current value.

Starting time of image development: the charging current of the satellite storage battery in the shadow period is changed from a low-level charging current value to a shadow charging current peak value through single-step jump, and then gradually reduced peak current time through multi-step jump or initial peak current time continuously and gradually increased through multi-step jump.

End time of whole shadow rendering: the charging current of the satellite storage battery in the shadow period is monotonically decreased until the global charging current is low-level, and the time when the current value is less than 0.1A for the first time is indicated.

End time of penumbra projection: the charging current of the satellite storage battery in the shadow period is monotonically decreased from a large current charging current value or a shadow charging current peak value until the time reaches a penumbra charging current valley value for the first time.

Half-shadow start time: the charging current of the satellite storage battery in the shadow period is monotonically increased from the valley value of the penumbra charging current until reaching the peak value of the shadow charging current or the starting time of the large-current charging current value.

The total shadow shows the start time of the shadow. The charging current of the satellite storage battery in the shadow period monotonically increases from a global charging current low-average value, and when the current value of a sampling point is greater than 0.1A, the sampling time corresponding to the previous sampling point is indicated.

End time of imaging: the charging current of the satellite storage battery is monotonically increased in the shadow period until the amplitude is greater than 6.5A and the time interval between the charging current and the previous adjacent sampling point is greater than 100 s.

End time of large-current charging: the method refers to the end time of the jump of the charging current of the satellite storage battery in the shadow period from the large-current charging current value to the trickle charging current value or the low-order charging current value in a single step.

Discharge current quantization reference: the precision of the average value of sampling data corresponding to discharge current is marked as I in the time period of micro-current discharge of the storage battery_FSThe unit is A.

Low-level discharge current value: the time interval is the time interval when the storage battery discharges micro-current, namely the time interval is coincident with the low-order charging current value and the trickle charging current value, the sampling data value of the normal discharging current is obtained.

Low-level discharge current value reference: means the average value of the low discharge current value, and is marked as I_FLThe unit is A.

Low-order discharge current value range: is greater than I_FL-2·I_FSIs less than I_FL+2·I_FS。

High-order discharge current value: the sampling data value corresponding to the normal discharge current is obtained when the time period coincides with the high-order charging current value in the sunshine period or the large-current charging current value in the shadow period.

High-order discharge current value reference: means the average value of high-level discharge current value, and is marked as I_FHThe unit is A.

High-order discharge current value range: is greater than I_FH-1.5·I_FSIs less than I_FH+1.5·I_FS。

Median discharge current value: when the time period is coincident with the middle charging current value in the sunshine period, the sampling data value corresponding to the normal discharging current is indicated.

Median discharge current value reference: means the average value of the median discharge current value, and the value is marked as I_FMThe unit is A.

The value range of the median discharge current value is as follows: is greater than I_FM-1.5·I_FSIs less than I_FM+1.5·I_FS。

And (3) supplementary discharge process: it refers to the whole process of primary discharge of the storage battery in the sunshine period.

Supplementary discharge duration: the time that the discharging current value is from the low-level discharging current value to the high-level or middle-level discharging current value and then returns to the low-level discharging current value when the storage battery performs one supplementary discharging in the sunshine period is referred to.

And (3) a large-current discharging process: refers to the whole process of one-time discharging of the storage battery in the shadow period.

Duration of heavy current discharge: the method refers to all the time when the discharge current value of the storage battery in the shadow period is less than-0.1A when the storage battery is subjected to primary large-current discharge.

A small current discharge process: the whole process of normal current discharge corresponding to the period from the end of shadow generation to the end of high-current charging of the storage battery in the shadow period belongs to a part of the high-current discharge process.

A micro-current discharge process: the whole process that the normal discharge current keeps relatively stable near a zero value when the storage battery does not carry out supplementary discharge, large-current discharge or small-current discharge.

Large current discharge current value: the sampling data value of the discharge current of the shadow period satellite from the beginning to the end of the shadow period is-0.1A-40A.

Small current discharge current value: the current value of the shadow period satellite is maintained near the high-level discharge current value during the large-current charging period, and the value range is larger than I_FH-1.5·I_FSIs less than I_FH+1.5·I_FS。

Initial value of large-current discharge current: the sampling data value of which the first amplitude is smaller than-0.1A appears in all the large-current discharge current values in each large-current discharge process.

Final value of large current discharge current: the sampling data value of which the last amplitude value is smaller than-0.1A appears in all the large-current discharge current values in each large-current discharge process.

High current discharge current limit value: the sampling data value with the largest absolute value and the smallest actual value in all the large-current discharge current values in each large-current discharge process has the value range of-40.0A to-1.0A.

Large current discharge rapid current reduction value: the discharge current monotone and rapid decrease in the large-current discharge process, namely the current data value with monotone and rapid increase of the absolute value, and the value range of the current data value is-35.0A-0.2A.

Large current discharge slow-falling current value: the large-current discharge current value is characterized in that in the large-current discharge process, the discharge current value changes frequently (the jump amplitude is less than 5.0A), the general trend is gradually decreased, namely the absolute value is gradually increased, until the current data value of the large-current discharge current extreme value is reached, and the value range is-40.0A-20.0A.

Initial value of deep discharge of large current: the absolute value of the discharge current is changed from a 'large-current discharge rapid-reduction current value' to a 'large-current discharge slow-reduction current value' in the large-current discharge process, and the value range of the absolute value of the discharge current is-35.0A-20.0A.

Large current discharge slow-rise current value: in the process of high-current discharge, the discharge current changes frequently (the jump amplitude is less than 5.0A) from the extreme value of the high-current discharge current, the general trend is gradually increased, namely the current data value with the gradually decreased absolute value is the value range of-40.0A to-25.0A.

Large current discharge rate rise value: the discharge current monotonously and rapidly increases in the large-current discharge process, namely the current data value with the monotonously and rapidly decreasing absolute value, and the value range of the current data value is-0.2A-40.0A.

End value of deep discharge with large current: the absolute value of the discharge current is changed from a large-current discharge slow-rise current value to a large-current discharge fast-rise current value in the large-current discharge process, and the value range of the absolute value of the discharge current is-40.0A-25.0A.

Large current discharge decreasing current value: the large-current discharge current value is characterized in that in the large-current discharge process, the discharge current value changes frequently (the jump amplitude is less than 5.0A), the general trend is decreased progressively, namely the absolute value is increased progressively until the current data value of the large-current discharge current extreme value, and the value range is-35.0A-0.2A.

Large current discharge step-up current value: in the process of high-current discharge, the discharge current changes frequently (the jump amplitude is less than 5.0A) from the extreme value of the high-current discharge current, the general trend increases progressively, namely the current data value with the decreasing absolute value, and the value range is-35.0A-0.2A.

High-to-low current value of heavy current discharge: the data value refers to the data value that the discharge current monotonously and gradually jumps from the high-order discharge current value to the low-order discharge current value in the large-current discharge process, and the value range is 3. I_FS-7·I_FS。

High current discharge low to high current values: the data value of the discharging current is monotonically and gradually jumped from a low-order discharging current value to a high-order discharging current value in the large-current discharging process, and the value range is 3. I_FS-7·I_FS。

Supplementary discharge start time: the method refers to the time when the discharge current of the satellite storage battery jumps from a low-level discharge current value to a high-level discharge current value in a single step in the sunshine period, and the jump time interval is smaller than 100s of the low-level current value.

End time of supplementary discharge: the satellite storage battery discharge current in the sunshine period jumps from a high discharge current value or a middle discharge current value to a low discharge current value in a single step, the jump time interval is less than 100s, and the amplitude is greater than 2 & I_FSThe low current value time.

High-current discharge start time: the method refers to the time when the discharge current of the storage battery jumps from a low-level discharge current value to a high-current discharge current initial value in a single step in the shadow period, and the jump time interval is smaller than 100s of the low-level current value.

End time of large current discharge: the method refers to the time when the discharge current of the storage battery jumps from the final value of the large-current discharge current to the low-level discharge current in a single step in the shadow period, and the jump time interval is smaller than the low-level current value of 100 s.

Small current discharge start time: after the large-current discharge of the storage battery is finished in the shadow period, the current is gradually jumped from a low-level discharge current value to a high-level discharge current value, and the jump time interval is less than the low-level current value time of 10 s.

End time of low-current discharge: the method refers to the time when the current jumps from a high-level discharge current value to a low-level discharge current value in a single step after the large-current discharge of the storage battery is finished in the shadow period, and the jump time interval is smaller than 50 s.

103. And acquiring the weight corresponding to each current value change rule in at least one current value change rule, and acquiring the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule.

In an exemplary change law of the complementary charging current value in the sunshine period, a2 and a6 respectively reflect typical characteristics of the start and the end of complementary charging in the sunshine period, and are given with a larger weight value of 3; a9 is an important characteristic reflecting the length of the charging time in the sunshine period, and is endowed with a maximum weight value of 4; in the rules A3, A5 and A7, the current changes steadily, abnormal values are easy to identify, the influence of data loss is small, and a small weight value of 1 is given; the rules A4 and A8 are assigned a general weight value of 2.

For example, in the primary large-current charging process in the shadow period, the total weight of the current change law in the case of the ground shadow total shadow, the ground shadow penumbra or the moon shadow may be 27(3+3+4+1+ 3+1+ 4 equals 27), and the total weight of the current change law in the case of the ground shadow and the moon shadow may be 39(3+3+4+1+4+3+4+1+4+3+3+1+ 4 equals 39).

In the change rule of the large-current charging current value in the shadow period, B1 and B6 are typical characteristics before the jump of the charging starting current in the shadow period and typical characteristics of the duration time of the charging large current respectively, and B2 and B7 are typical characteristics reflecting the starting of shadow period and the ending of large-current charging respectively and are endowed with a large weight value of 3; b3, B5, B10 and B12 respectively reflect the typical characteristics of gradually finishing the image entering, gradually finishing the image exiting, gradually finishing the image entering during large-current charging and gradually finishing the image exiting during large-current charging, and considering that the charging current in the 4 rules is continuously monotonous and changes, the typical characteristics of the charging process can be reflected by taking local continuous data, so the 4 rules are endowed with a maximum weight value of 4; b13 is an important characteristic reflecting the length of the large-current charging time in the shadow period and is also endowed with a maximum weight value of 4; in B4, B8 and B11, the current changes steadily, abnormal values are easy to identify, influence of data loss is small, and a small weight value 1 is given; according to rule B9, the trickle charge is usually continued until the peak value of the charging current of the shadow charging in the next large-current charging process in the shadow period, and a smaller weight value of 1 is also given. For example, in the primary large-current charging process in the shadow period, the total weight of the current change law in the case of the ground shadow total shadow, the ground shadow penumbra or the moon shadow may be 27(3+3+4+1+ 3+1+ 4 equals 27), and the total weight of the current change law in the case of the ground shadow and the moon shadow may be 39(3+3+4+1+4+3+4+1+4+3+3+1+ 4 equals 39).

In the change rule of the complementary discharge current value in the sunshine period, C1, C2 and C6 are endowed with a larger weight value of 3; rule C7 assigns a maximum weight value of 4; rules C3, C5 assign a smaller weight value of 1; rule C4 assigns a general weight value of 2. For example, the sunshine period supplements the discharge process once, and the total weight value of the current change rule may be 17 (17 is equal to 3+3+1+2+1+3+ 4).

In the change rule of the large-current discharge current value in the shadow period, D1 is a typical characteristic before current jump, and rules D2, D8 and D11 are typical characteristics which respectively reflect the large-current discharge start, the large-current discharge end and the high-order discharge current end in the shadow period and are endowed with a larger weight value of 3; d3, D7, D9 and D14 are typical characteristics reflecting gradual monotonic change of the absolute value of the current in the large-current discharge process in the shadow period, D4, D6, D12 and D13 are typical characteristics reflecting gradual increase or gradual decrease of the absolute value of the current in the large-current discharge process in the shadow period in up-down fluctuation, and the typical characteristics of the discharge process can be reflected by taking local continuous data in consideration of the fact that the discharge current in the 8 regulations is gradually monotonically changed or gradually trends in up-down fluctuation, so that the 8 regulations are endowed with a maximum weight value of 4; rule D15 is an important feature for reflecting the length of the large-current discharge time in the shadow period, and is also given a maximum weight value of 4; in D5 and D10, the current changes steadily, abnormal values are easy to identify, influence of data loss is small, and a small weight value 1 is given. For example, in the primary large-current discharging process in the shadow period, the total weight of the current variation law in the shadow period or the moon shadow may be 30(3+3+4+1+4+3+4+1+3+4 is 30), the total weight of the current variation law in the shadow period may be 38(3+3+4+4+1+4+4+3+4+1+3+4 is 38), and the total weight of the current variation law in the shadow period and the moon shadow period may be 70(3+3+4+4+1+4+4+3+4+ 4+3+ 1+3+ 4+ 70).

104. And determining the data abnormality type of the satellite storage battery current data according to the weight percentage.

Exemplary data anomaly types of satellite battery current data include charging current data normal, charging current data fault tolerance, charging current data anomaly, discharging current data normal, discharging current data fault tolerance, and discharging current data anomaly.

Wherein, the normal current map is set with the weight percentage of 100, the fault-tolerant current map is set with the weight percentage of 55-100%, and the abnormal current map is set with the weight percentage of less than 55%. For example,

when the weight percentage of the change rule of the supplement charging current value in the sunshine period in the corresponding normal current value change rule is 90%, the weight percentage of the change rule of the supplement discharging current value in the shadow period in the corresponding normal current value change rule is 80%, the weight percentage of the change rule of the supplement discharging current value in the sunshine period in the corresponding normal current value change rule is 45%, and the weight percentage of the change rule of the supplement discharging current value in the shadow period in the corresponding normal current value change rule is 30%, the data abnormality type of the current data of the satellite storage battery is charging current data fault tolerance and discharging current data abnormality.

In one embodiment, fig. 2 is a flowchart illustrating a method for identifying an abnormal type of satellite battery current data according to an exemplary embodiment, and as shown in fig. 2, step 102 may be implemented by steps 1021 to 1023:

1021. and determining at least one sampling point corresponding to the satellite operation period according to the sampling time of each sampling point.

1022. And acquiring the original current value change rule of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period.

1023. And acquiring a standard current value change rule corresponding to each satellite operation period, and determining a current value change rule according to the similarity between the standard current value change rule corresponding to each satellite operation period and the original current value change rule of each satellite operation period.

The at least one satellite operation period may include a sunshine period and a shadow period, and the current value change rule may include a sunshine period complementary charging current value change rule, a shadow period heavy current charging current value change rule, a sunshine period complementary discharging current value change rule and a shadow period heavy current discharging current value change rule.

The method comprises the steps of determining at least one sampling point corresponding to the satellite operation period according to the sampling time of each sampling point, obtaining an original current value change rule of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period, obtaining a standard current value change rule corresponding to each satellite operation period, determining a current value change rule according to the similarity between the standard current value change rule corresponding to each satellite operation period and the original current value change rule of each satellite operation period, and improving the efficiency of determining the current value change rule.

In one embodiment, fig. 3 is a flowchart illustrating a method for identifying an abnormal type of satellite battery current data according to an exemplary embodiment, where as shown in fig. 3, before step 1021, the method further includes steps 105 to 106:

105. and acquiring the difference of the current values of every two continuous sampling points in the satellite storage battery current data.

106. And when the difference between the current values of any two continuous sampling points in the satellite storage battery current data is greater than or equal to a first preset charging and discharging current threshold value, determining that any two continuous sampling points are single-step jump characteristic nodes.

Step 1022, may be implemented by step 1122:

1122. and acquiring an original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period.

The change rule of the original current value comprises the duration of the charge and discharge current in at least one current value range and the jump condition of the charge and discharge current between the two current value ranges.

The method comprises the steps of obtaining the current value difference of every two continuous sampling points in satellite storage battery current data, determining any two continuous sampling points as single-step jump characteristic nodes when the current value difference of any two continuous sampling points in the satellite storage battery current data is larger than or equal to a first preset charging and discharging current threshold value, obtaining the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, and enabling the original current value change rule to accurately reflect the change of the current value in the satellite storage battery current data on the premise of reducing the operation amount.

In one embodiment, fig. 4 is a flowchart illustrating a method for identifying an abnormal type of satellite battery current data according to an exemplary embodiment, where as shown in fig. 4, before step 1122, the method further includes step 107:

107. and when the difference between the current values of the first two continuous sampling points and the difference between the current values of the last two continuous sampling points in any four continuous sampling points in the satellite storage battery current data are both larger than a second preset charging and discharging current threshold value, and the difference between the current value of the first sampling point and the current value of the last sampling point in any four continuous sampling points is larger than or equal to the first preset charging and discharging current threshold value, determining any four continuous sampling points as the multi-step jump characteristic node.

Step 1122, may also be implemented by step 1222:

1222. and obtaining an original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period, the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, the current value of the multi-step jump characteristic node corresponding to each satellite operation period and the sampling time of the multi-step jump characteristic node corresponding to each satellite operation period.

When the difference between the current values of the first two continuous sampling points and the difference between the current values of the second two continuous sampling points in the satellite storage battery current data are both larger than a second preset charging and discharging current threshold value, and the difference between the current value of the first sampling point and the current value of the last sampling point in the four continuous sampling points is larger than or equal to a first preset charging and discharging current threshold value, determining the four continuous sampling points as multi-step jump characteristic nodes, and acquiring the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period, the sampling time of the single-step jump characteristic node corresponding to each satellite operation period, the current value of the multi-step jump characteristic node corresponding to each satellite operation period and the sampling time of the multi-step jump characteristic node corresponding to each satellite operation period, the change rule of the original current value can further accurately reflect the change of the current value in the satellite storage battery current data.

The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.

Fig. 5 is a schematic structural diagram illustrating a satellite battery current data abnormality type identification apparatus 20 according to an exemplary embodiment, where the satellite battery current data abnormality type identification apparatus 20 may be a terminal or a part of the terminal, and the satellite battery current data abnormality type identification apparatus 20 may be implemented as a part or all of an electronic device by software, hardware, or a combination of the two. As shown in fig. 5, the satellite battery current data abnormality type identification device 20 includes:

the satellite battery current data acquisition module 201 is configured to acquire satellite battery current data, where the satellite battery current data includes current values of a plurality of sampling points and sampling time of each sampling point.

And a current value change rule determining module 202, configured to determine at least one current value change rule according to the satellite storage battery current data.

The weight obtaining module 203 is configured to obtain a weight corresponding to each current value change rule in the at least one current value change rule, and obtain a weight percentage of each current value change rule in a corresponding normal current value change rule according to the weight corresponding to each current value change rule.

And the data abnormality type determining module 204 is used for determining the data abnormality type of the satellite storage battery current data according to the weight percentage.

The embodiment of the disclosure provides a satellite storage battery current data abnormity type recognition device, which determines at least one current value change rule according to satellite storage battery current data by acquiring current values comprising a plurality of sampling points and sampling time satellite storage battery current data of each sampling point, wherein the current value change rule is used for indicating the change of the current values when the satellite storage battery current data is abnormal or wrong. Obtaining the weight corresponding to each current value change rule in at least one current value change rule, obtaining the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule, since the weight percentage can more comprehensively reflect the influence of abnormal or wrong data in the satellite storage battery current data on all the satellite storage battery current data, therefore, the data anomaly type of the satellite storage battery current data can be accurately determined according to the weight percentage, therefore, on the premise of no need of manual processing, the data exception type of the satellite storage battery current data is automatically determined, the difficulty of determining the data exception type of the satellite storage battery current data is reduced, the reliability of satellite management according to the satellite storage battery current data is improved, and the user experience is improved.

Fig. 6 is a block diagram illustrating a satellite battery current data abnormality type identification device 30 according to an exemplary embodiment, where the satellite battery current data abnormality type identification device 30 may be a terminal or a part of the terminal, and the satellite battery current data abnormality type identification device 30 includes:

a processor 301;

a memory 302 for storing instructions executable by the processor 301;

wherein the processor 301 is configured to:

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A satellite storage battery current data abnormal type identification method is characterized by comprising the following steps:

acquiring the weight corresponding to each current value change rule in the at least one current value change rule, and acquiring the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule;

2. The method for identifying the abnormal type of the satellite storage battery current data according to claim 1, wherein the determining at least one current value change rule according to the satellite storage battery current data comprises:

3. The satellite battery current data anomaly type identification method as claimed in claim 2, wherein said at least one satellite operational period includes a sunshine period and a shadow period.

4. The satellite storage battery current data anomaly type identification method according to any one of claims 1-3, wherein the current value change rule comprises a sunshine period supplement charging current value change rule, a shadow period heavy current charging current value change rule, a sunshine period supplement discharging current value change rule and a shadow period heavy current discharging current value change rule.

5. The satellite battery current data abnormality type identification method according to claim 2, wherein before determining at least one sampling point corresponding to a satellite operation period according to a sampling time of each sampling point, the method further comprises:

when the difference between the current values of any two continuous sampling points in the satellite storage battery current data is larger than or equal to a first preset charging and discharging current threshold value, determining that the any two continuous sampling points are single-step jump characteristic nodes;

the method for obtaining the change rule of the original current value of each satellite operation period according to the current value of the sampling point corresponding to each satellite operation period and the sampling time of the sampling point corresponding to each satellite operation period comprises the following steps:

6. The satellite battery current data anomaly type identification method according to claim 5, wherein the original current value change rule comprises duration of charge and discharge current in at least one current value range and a jump condition of charge and discharge current between two current value ranges.

7. The method for identifying the abnormal type of the satellite storage battery current data according to claim 5, wherein before the original current value change rule of each satellite operation period is obtained according to the current value of the single step jump characteristic node corresponding to each satellite operation period and the sampling time of the single step jump characteristic node corresponding to each satellite operation period, the method further comprises:

the method for obtaining the original current value change rule of each satellite operation period according to the current value of the single-step jump characteristic node corresponding to each satellite operation period and the sampling time of the single-step jump characteristic node corresponding to each satellite operation period comprises the following steps:

8. The method for identifying the abnormal type of the satellite storage battery current data according to any one of claims 1 to 3 and 5 to 7, wherein the abnormal type of the satellite storage battery current data comprises normal charging current data, fault tolerance of the charging current data, abnormal charging current data, normal discharging current data, fault tolerance of the discharging current data and abnormal discharging current data.

9. An abnormal type identification device for satellite storage battery current data is characterized by comprising:

the weight obtaining module is used for obtaining the weight corresponding to each current value change rule in the at least one current value change rule and obtaining the weight percentage of each current value change rule in the corresponding normal current value change rule according to the weight corresponding to each current value change rule;

and the data abnormality type determining module is used for determining the data abnormality type of the satellite storage battery current data according to the weight percentage.

10. An abnormal type identification device for satellite storage battery current data is characterized by comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to: