CN116342069A - Throwing management system for comprehensively evaluating super capacitor - Google Patents
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Abstract
The invention relates to the technical field of super capacitor delivery, in particular to a delivery management system for comprehensively evaluating a super capacitor. The system comprises an application place type determining module, a database storage module and a super capacitor delivery planning module. According to the invention, all environmental factors of the application places are determined through the set application place type determining module, the application places are classified, the database storage module records the adaptive amount of the super capacitor which is matched with the previous application places, the adaptive amount is matched with the current application place, the super capacitor is used as a reference of the current application place, the super capacitor throwing planning module plans the throwing amount of the super capacitor corresponding to the current application place in advance according to the matched adaptive amount, the throwing amount of the super capacitor is planned in advance, the preparation work is done in advance, and the throwing efficiency is improved.
Description
Technical Field
The invention relates to the technical field of super capacitor delivery, in particular to a delivery management system for comprehensively evaluating a super capacitor.
Background
Super-capacitor is a general term of capacitor with extremely high energy storage density and quick discharge performance, has the energy storage characteristics of ultra-high power, ultra-high current, ultra-wide working range, ultra-high safety, ultra-long service life and the like, and is used as a main stream in combination with other energy storage products, and has been widely used in various industrial fields of power systems, intelligent micro-grid systems, ships, aerospace, rail transit and the like, and plays a great role.
When the super capacitor is put into use, the super capacitor consumption of the equipment adaptation is influenced due to different super capacitor consumption of each equipment adaptation, meanwhile, the use area environment also influences the super capacitor consumption of the equipment adaptation, for example, in wind power generation, the super capacitor has a power supply effect, the different sizes of different wind power generation equipment models can influence the putting quantity of the super capacitor, and in the large-scale super capacitor putting into use process, if the putting quantity of the super capacitor is not predicted in advance, the surplus or the shortage of the super capacitor is easy to appear, and the secondary super capacitor compensation is needed.
In order to address the above problems, a need exists for a delivery management system for comprehensive evaluation of supercapacitors.
Disclosure of Invention
The invention aims to provide a release management system for comprehensively evaluating a super capacitor so as to solve the problems in the background technology.
In order to achieve the above purpose, a delivery management system for comprehensively evaluating a supercapacitor is provided, which comprises a supercapacitor application prospect planning module, an application place identification module, an application place type determining module, a database storage module and a supercapacitor delivery planning module;
the super capacitor application prospect planning module determines the super capacitor application prospect according to the super capacitor use scene;
the output end of the super capacitor application prospect planning module is connected with the input end of the application place identification module, and the application place identification module determines a place adapting to the super capacitor according to the super capacitor application prospect;
the output end of the application place identification module is connected with the input end of the application place type determination module, and the application place type determination module determines various environmental factors of the application places and classifies various application places;
the output end of the application place type determining module is connected with the input end of the database storage module, and the database storage module is used for recording the adaptive amount of each previous application place adaptive super capacitor, comparing the current application place and matching the corresponding adaptive amount to be used as a reference of the current application place;
the output end of the application place type determining module is connected with the input end of the super capacitor throwing planning module, and the super capacitor throwing planning module plans the super capacitor throwing amount corresponding to the current application place in advance according to the matched corresponding adaptive amount.
As a further improvement of the technical scheme, the super capacitor application prospect planning module comprises an adaptation equipment confirming unit and an adaptation use determining unit;
the adaptive equipment confirming unit is used for determining the type of equipment adaptive to the super capacitor and the field related to the adaptive equipment;
the output end of the adaptation equipment confirming unit is connected with the input end of the adaptation use determining unit, and the adaptation use determining unit determines the use of each super capacitor in different equipment according to the function of the super capacitor in the adapted equipment.
As a further improvement of the technical scheme, the output end of the adaptation use determining unit is connected with an adaptation prospect self-updating unit, and the adaptation prospect self-updating unit updates the super-capacitor adaptation prospect in real time according to the market change result.
As a further improvement of the technical scheme, the database storage module comprises an adapting device type recording unit and a super capacitor average usage storage unit, wherein the adapting device type recording unit is used for recording the type of the device adapted in the put-in region, the output end of the adapting device type recording unit is connected with the input end of the super capacitor average usage storage unit, and the super capacitor average usage storage unit is used for determining the super capacitor average usage of the same device type adaptation.
As a further improvement of the technical scheme, the output end of the super capacitor average consumption storage unit is connected with a regional environment confirmation unit, the regional environment confirmation unit is used for confirming the regional environment where the adapting equipment is located, and the output end of the regional environment confirmation unit is connected with a super capacitor input volume recording unit.
As a further improvement of the technical scheme, the output end of the super capacitor delivery planning module is connected with a data feedback module, and the data feedback module is used for feeding back the usage amount of the super capacitor to the region or the equipment after delivering the adaptive amount of the super capacitor in real time.
As a further improvement of the technical scheme, the output end of the data feedback module is connected with an application model training module, and the application model training module carries out model training on the super capacitor input quantity of the adapting equipment of the same type each time according to the feedback result of the using quantity of the super capacitor to determine the prediction range of the super capacitor input quantity.
As a further improvement of the technical scheme, the application model training module model training method comprises the following steps:
step one, determining a feedback result of the usage amount of the super capacitor each time to obtain the residual amount or the shortage amount;
marking the residual quantity or the shortage as standard phase difference quantity;
and thirdly, comparing standard phase difference amounts of the super capacitors, and selecting the input amount corresponding to the lowest standard phase difference amount as the predicted input amount of the next time.
As a further improvement of the technical scheme, the output end of the application model training module is connected with the input end of the database storage module, and the database storage module updates the adaptation amount of the adaptation super capacitor of each previous application place in real time according to the training result of the application model training module.
Compared with the prior art, the invention has the beneficial effects that:
1. in the delivery management system for comprehensively evaluating the super capacitor, various environmental factors of the application place are determined through the set application place type determining module, each application place is classified, the database storage module records the adaptive amount of the super capacitor which is matched with each application place before, the adaptive amount is matched with the current application place, the adaptive amount is used as a reference of the current application place, the super capacitor delivery amount corresponding to the current application place is planned in advance through the super capacitor delivery planning module according to the matched adaptive amount, the delivery amount of the super capacitor is planned in advance, the preparation work is done in advance, and the delivery efficiency is improved.
2. In the delivery management system for comprehensively evaluating the super-capacitor, the regional environment where the adaptive equipment is located is confirmed through the regional environment confirming unit, the regional environment corresponding to each adaptive equipment is located, and then the adaptive quantity of the super-capacitor, which is adapted to the regional environment where each adaptive equipment is located, is recorded through the super-capacitor delivery quantity recording unit.
3. In the delivery management system for comprehensively evaluating the super capacitor, the data feedback module is used for feeding back the usage amount of the super capacitor to the region or the equipment after the adaptive amount of the super capacitor is delivered, and judging the residual super capacitor or the lack of the super capacitor of the region or the equipment, so that a reference basis can be provided for later prediction.
4. In the delivery management system for comprehensively evaluating the super capacitor, a model training module is applied to model training of the super capacitor delivery quantity of the adapting device of the same type each time according to the feedback result of the use quantity of the super capacitor, a prediction range of the super capacitor delivery quantity is determined, a delivery quantity delivery rule is obtained, and the super capacitor delivery quantity ranges required by the adapting device of different types are analyzed.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
fig. 2 is a schematic diagram of a super capacitor application prospect planning module structure of the present invention;
fig. 3 is a schematic diagram of a database storage module structure according to the present invention.
The meaning of each reference sign in the figure is:
10. the super capacitor application prospect planning module; 110. an adaptation device confirmation unit; 120. an adaptation use determination unit; 130. an adaptive prospect self-updating unit;
20. an application place identification module;
30. an application location type determination module;
40. a database storage module; 410. an adaptation device type recording unit; 420. the storage unit of average consumption of super capacitor; 430. a regional environment confirmation unit; 440. a super capacitor delivery amount recording unit;
50. the super capacitor throwing planning module;
60. a data feedback module;
70. and (5) applying a model training module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1-3, a delivery management system for comprehensively evaluating a supercapacitor is provided, and the delivery management system comprises a supercapacitor application prospect planning module 10, an application place identification module 20, an application place type determining module 30, a database storage module 40 and a supercapacitor delivery planning module 50;
the super capacitor application prospect planning module 10 determines the super capacitor application prospect according to the super capacitor use scene;
the output end of the super capacitor application prospect planning module 10 is connected with the input end of the application place identification module 20, and the application place identification module 20 determines a place adapting to the super capacitor according to the super capacitor application prospect;
the output end of the application place identification module 20 is connected with the input end of the application place type determination module 30, and the application place type determination module 30 determines various environmental factors of the application places and classifies various application places;
the output end of the application place type determining module 30 is connected with the input end of the database storage module 40, and the database storage module 40 is used for recording the adaptive amount of the adaptive super capacitor of each previous application place and matching the corresponding adaptive amount as the reference of the current application place by comparing the current application place;
the output end of the application place type determining module 30 is connected with the input end of the super capacitor throwing planning module 50, and the super capacitor throwing planning module 50 plans the super capacitor throwing amount corresponding to the current application place in advance according to the matched corresponding adaptive amount.
When the super capacitor is specifically used, the super capacitor application prospect planning module 10 determines the super capacitor application prospect according to the super capacitor application prospect, such as being applied to intelligent three-meter water, electricity, gas and other power generation end standby power sources, such as wind power generation, solar photo-thermal power generation, nuclear energy and other power generation ends, which are all application prospect of the super capacitor, the application prospect identification module 20 determines the place adapting the super capacitor, such as the place needing large-scale construction of wind power generation equipment, then determines environmental factors of the application place through the application place type determining module 30, classifies each application place, the environmental factors are the scale of the super capacitor application place, the consumption of the super capacitor, the super capacitor application frequency and the like, the database storage module 40 records the adaptive amount of the super capacitor which is matched with each previous application place, and matches the corresponding adaptive amount compared with the current application place, and the adaptive amount is used as the reference of the current application place, and the super capacitor release planning module 50 plans the corresponding super capacitor amount in advance according to the matched adaptive amount of the current application place, namely the predicted the previous release amount of the super capacitor which is required to be similar to the previous release of the super capacitor when the super capacitor is released in the region and the previous release type of the region is completed.
According to the invention, various environmental factors of the application sites are determined through the set application site type determining module 30, the application sites are classified, the database storage module 40 records the adaptive amount of the super capacitor which is matched with the previous application sites, the current application sites are matched with the corresponding adaptive amount, the super capacitor release planning module 50 is used as a reference of the current application sites, the super capacitor release amount corresponding to the current application sites is planned in advance according to the matched adaptive amount, the release amount of the super capacitor is planned in advance, the preparation work is done in advance, and the release efficiency is improved.
In addition, the supercapacitor application prospect planning module 10 includes an adaptation device confirmation unit 110 and an adaptation use determination unit 120;
the adaptive device confirmation unit 110 is configured to determine a device type of supercapacitor adaptation and a domain related to the adapted device;
the output end of the adaptation device confirmation unit 110 is connected with the input end of the adaptation purpose determining unit 120, and the adaptation purpose determining unit 120 determines the purpose of each super capacitor in different devices according to the function of the super capacitor in the adapted device.
In order to better predict the throwing amount of the super capacitor in different areas, the relevant information of each relevant super capacitor in the areas needs to be compared, at the moment, the type of the super capacitor adaptive equipment and the field related to the adaptive equipment are determined through the adaptive equipment confirming unit 110, the adaptive usage determining unit 120 determines the usage of each super capacitor in different equipment according to the role of the super capacitor in the adaptive equipment, namely the role of the current super capacitor in the equipment, for example, in wind power generation, the super capacitor plays a role of supplying power, meanwhile, the throwing amount of the super capacitor is influenced by different models of different wind power generation equipment, and in order to improve the predicting accuracy of the throwing amount of the super capacitor in later period, the adaptive equipment needs to be accurately identified, so that the final predicting result error can be reduced.
Further, the output end of the adaptation purpose determining unit 120 is connected with an adaptation prospect self-updating unit 130, the adaptation prospect self-updating unit 130 updates the super capacitor adaptation prospect in real time according to the market change result, and as the conditions of continuous adjustment of the market, power supply adaptation updating of other equipment, adaptation adjustment of the super capacitor and the like occur, the adaptation prospect of the super capacitor changes along with the conditions, equipment or places where the super capacitor cannot be used previously can not be adapted with the super capacitor, at this time, the super capacitor adaptation prospect can be updated in real time according to the market change result through the adaptation prospect self-updating unit 130, and the prediction work of the continuously updated equipment or places can be adapted.
Still further, the database storage module 40 includes an adapting device type recording unit 410 and a super capacitor average usage storage unit 420, where the adapting device type recording unit 410 is used to record the type of the device that completes the area adaptation of the input device, the output end of the adapting device type recording unit 410 is connected with the input end of the super capacitor average usage storage unit 420, and the super capacitor average usage storage unit 420 is used to determine the super capacitor average usage of the same device type adaptation, during the prediction process, the adapting device type recording unit 410 is used to record the type information of the device that completes the area adaptation of the input device, that is, the working content, the location and the usage status of the device, and the type information is used to determine the type of the adapting device, and then the super capacitor average usage storage unit 420 is used to determine the super capacitor average usage of the same device type adaptation, that is, one device needs several super capacitors to be used, so as to perform multi-angle authentication on each device, improve the classification accuracy, and improve the later comparison effect.
Since even the same type of adapting device is changed in different environmental usage states, for example, when the wind power generation device is in a desert area, the consumption of the supercapacitor is higher than that of the plain area, in order to distinguish the influence of different regional environments on the adapting device, the accuracy of predicting the post-supercapacitor delivery amount is further improved, specifically, the output end of the supercapacitor average dosage storage unit 420 is connected with the regional environment confirmation unit 430, the regional environment confirmation unit 430 is used for confirming the regional environment where the adapting device is located, the output end of the regional environment confirmation unit 430 is connected with the supercapacitor delivery amount recording unit 440, the regional environment where the adapting device is located is confirmed through the set regional environment confirmation unit 430, the regional environment corresponding to each adapting device is located, and then the supercapacitor delivery amount adapted by the regional environment where each adapting device is located is recorded through the supercapacitor delivery amount recording unit 440.
In addition, the output end of the super capacitor delivery planning module 50 is connected with a data feedback module 60, the data feedback module 60 is used for feeding back the usage amount of the super capacitor to the region or the equipment after the super capacitor is delivered in a adapting amount in real time, when the super capacitor prediction work is completed, the predicted usage amount of the super capacitor to the region or the equipment after the super capacitor is delivered in a adapting amount is fed back in real time through the data feedback module 60 after the predicted region or the equipment uses the predicted amount of the super capacitor, and the residual super capacitor or the lack of the super capacitor of the region or the equipment is judged, so that a reference basis can be provided for later prediction.
Further, the output end of the data feedback module 60 is connected with an application model training module 70, the application model training module 70 carries out model training on the super capacitor input quantity of the adapting device of the same type each time according to the feedback result of the usage quantity of the super capacitor, a super capacitor input quantity prediction range is determined, the data feedback module 60 feeds back the region or the usage quantity of the device to which the adapting device of the same type is input to the super capacitor in real time, the feedback result of the usage quantity of the super capacitor is fed back to the application model training module 70, the application model training module 70 carries out model training on the super capacitor input quantity of the adapting device of the same type each time according to the feedback result of the usage quantity of the super capacitor, a super capacitor input quantity prediction range is determined, a input quantity input rule is obtained, and super capacitor input quantity ranges required by adapting devices of different types are analyzed.
Still further, the model training method using the model training module 70 includes the steps of:
step one, determining a feedback result of the usage amount of the super capacitor each time to obtain the residual amount or the shortage amount;
marking the residual quantity or the shortage as standard phase difference quantity;
and thirdly, comparing standard phase difference amounts of the super capacitors, and selecting the input amount corresponding to the lowest standard phase difference amount as the predicted input amount of the next time.
In addition, the output end of the application model training module 70 is connected with the input end of the database storage module 40, the database storage module 40 updates the adaptive quantity of the adaptive super capacitor of each application place in real time according to the model training result of the application model training module 70, after the model training is carried out on the super capacitor input quantity of the adaptive equipment of the same type each time, the adaptive quantity of the adaptive super capacitor of the application place is compared with the adaptive quantity of the adaptive super capacitor of the application place after the super capacitor input quantity prediction range is determined, if the adaptive quantity of the adaptive super capacitor of the application place does not belong to the super capacitor input quantity prediction range, the adaptive quantity of the adaptive super capacitor of the application place which is stored currently is deleted, and the adaptive quantity of the adaptive super capacitor of the application place with the lowest corresponding input quantity of the standard phase difference is updated, and if the adaptive quantity of the adaptive super capacitor of the application place belongs to the super capacitor input quantity prediction range, the updating is not needed.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. A put in management system for comprehensively evaluating super capacitors is characterized in that: the system comprises a super capacitor application prospect planning module (10), an application place identification module (20), an application place type determining module (30), a database storage module (40) and a super capacitor delivery planning module (50);
the super capacitor application prospect planning module (10) determines the super capacitor application prospect according to the super capacitor use scene;
the output end of the super capacitor application prospect planning module (10) is connected with the input end of the application place identification module (20), and the application place identification module (20) determines a place adapting to the super capacitor according to the super capacitor application prospect;
the output end of the application place identification module (20) is connected with the input end of the application place type determination module (30), and the application place type determination module (30) determines various environmental factors of the application places and classifies the application places;
the output end of the application place type determining module (30) is connected with the input end of the database storage module (40), and the database storage module (40) is used for recording the adaptive amount of the adaptive super capacitor of each previous application place and matching the corresponding adaptive amount as the reference of the current application place compared with the current application place;
the output end of the application place type determining module (30) is connected with the input end of the super capacitor throwing planning module (50), and the super capacitor throwing planning module (50) plans the super capacitor throwing amount corresponding to the current application place in advance according to the matched corresponding adaptive amount.
2. The delivery management system for comprehensive evaluation of supercapacitors of claim 1, wherein: the super capacitor application prospect planning module (10) comprises an adaptation device confirmation unit (110) and an adaptation use determination unit (120);
the adaptive device confirmation unit (110) is used for determining the type of the device adapted by the super capacitor and the related field of the adapted device;
the output end of the adaptation equipment confirming unit (110) is connected with the input end of the adaptation use determining unit (120), and the adaptation use determining unit (120) determines the use of each super capacitor in different equipment according to the function of the super capacitor in the adapted equipment.
3. The delivery management system for comprehensive evaluation of supercapacitors of claim 2, wherein: the output end of the adaptation purpose determining unit (120) is connected with an adaptation prospect self-updating unit (130), and the adaptation prospect self-updating unit (130) updates the super-capacitor adaptation prospect in real time according to the market change result.
4. The delivery management system for comprehensive evaluation of supercapacitors of claim 1, wherein: the database storage module (40) comprises an adapting device type recording unit (410) and a super capacitor average consumption storage unit (420), wherein the adapting device type recording unit (410) is used for recording the type of the device which is matched with the put-in region, the output end of the adapting device type recording unit (410) is connected with the input end of the super capacitor average consumption storage unit (420), and the super capacitor average consumption storage unit (420) is used for determining the super capacitor average consumption of the same device type adaptation.
5. The delivery management system for comprehensive evaluation of supercapacitors of claim 4, wherein: the output end of the super capacitor average consumption storage unit (420) is connected with a regional environment confirmation unit (430), the regional environment confirmation unit (430) is used for confirming the regional environment where the adapting equipment is located, and the output end of the regional environment confirmation unit (430) is connected with a super capacitor input volume recording unit (440).
6. The delivery management system for comprehensive evaluation of supercapacitors of claim 4, wherein: the output end of the super capacitor delivery planning module (50) is connected with a data feedback module (60), and the data feedback module (60) is used for feeding back the usage amount of the super capacitor to the region or equipment after the delivery of the adaptive amount of the super capacitor in real time.
7. The delivery management system for comprehensive evaluation of supercapacitors of claim 6, wherein: the output end of the data feedback module (60) is connected with an application model training module (70), and the application model training module (70) carries out model training on the super capacitor input quantity of the adapting equipment of the same type each time according to the feedback result of the using quantity of the super capacitor, so as to determine the prediction range of the super capacitor input quantity.
8. The delivery management system for comprehensive evaluation of supercapacitors of claim 7, wherein: the application model training module (70) model training method comprises the following steps:
step one, determining a feedback result of the usage amount of the super capacitor each time to obtain the residual amount or the shortage amount;
marking the residual quantity or the shortage as standard phase difference quantity;
and thirdly, comparing standard phase difference amounts of the super capacitors, and selecting the input amount corresponding to the lowest standard phase difference amount as the predicted input amount of the next time.
9. The delivery management system for comprehensive evaluation of supercapacitors of claim 8, wherein: the output end of the application model training module (70) is connected with the input end of the database storage module (40), and the database storage module (40) updates the adaptation amount of the adaptation super capacitor of each previous application place in real time according to the model training result of the application model training module (70).
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| WO2019239511A1 (en) * | 2018-06-13 | 2019-12-19 | 三菱電機株式会社 | Capacitor capacitance estimation device, automobile control system, factory automation system, and capacitor capacitance estimation method |
| CN113655314A (en) * | 2021-08-12 | 2021-11-16 | 华南理工大学 | Super capacitor cycle life prediction method, system, device and medium |
| CN114004390A (en) * | 2021-10-08 | 2022-02-01 | 华北电力大学 | Energy storage system capacity planning method considering wind power delivery and investment risk |
| CN114572053A (en) * | 2022-03-04 | 2022-06-03 | 中南大学 | Electric automobile energy management method and system based on working condition identification |
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