CN117438678B - Energy storage battery safety maintenance management system based on artificial intelligence - Google Patents
Energy storage battery safety maintenance management system based on artificial intelligence Download PDFInfo
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- CN117438678B CN117438678B CN202311760841.8A CN202311760841A CN117438678B CN 117438678 B CN117438678 B CN 117438678B CN 202311760841 A CN202311760841 A CN 202311760841A CN 117438678 B CN117438678 B CN 117438678B
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- 238000012423 maintenance Methods 0.000 title claims abstract description 539
- 238000004146 energy storage Methods 0.000 title claims abstract description 207
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 21
- 238000006467 substitution reaction Methods 0.000 claims abstract description 12
- 238000007726 management method Methods 0.000 claims description 45
- 230000002159 abnormal effect Effects 0.000 claims description 27
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M10/4257—Smart batteries, e.g. electronic circuits inside the housing of the cells or batteries
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4285—Testing apparatus
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M2200/00—Safety devices for primary or secondary batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The invention relates to the field of maintenance and management of energy storage batteries, which is used for solving the problems that the energy storage batteries are difficult to maintain and waste manpower and material resources due to the lack of an effective maintenance system, in particular to an artificial intelligence-based energy storage battery safety maintenance and management system, comprising a maintenance requirement acquisition unit, a maintenance management unit, a maintenance substitution unit and a maintenance batch analysis unit; according to the invention, the operation faults and the actual operation coincidence of the energy storage battery are obtained, the maintenance time is reasonably analyzed according to the operation faults and the actual operation load, the maintenance demands caused by different conditions of the energy storage battery are classified according to the priority, the maintenance route is reasonably distributed according to the classification conditions and the positions of the energy storage battery, the maintenance efficiency and the maintenance timeliness are improved, after the energy storage battery is maintained, the maintenance self-checking is timely carried out, the phenomenon of repeated maintenance is avoided, the waste of manpower and material resources is prevented, and the equipment damage caused by the faults is prevented.
Description
Technical Field
The invention relates to the field of maintenance and management of energy storage batteries, in particular to an artificial intelligence-based energy storage battery safety maintenance and management system.
Background
The energy storage battery mainly refers to a battery used for storing energy of solar power generation equipment, wind power generation equipment and renewable energy sources, the common energy storage battery is a lead-acid battery, and the energy storage battery is divided into the following three types: the exhaust type lead-acid storage battery for energy storage, namely a storage battery with a device capable of supplementing liquid and separating out gas is arranged on a battery cover; the valve-controlled lead-acid storage battery and each battery are sealed, but all have valves for allowing gas to escape when the internal pressure exceeds a certain value; lead-acid storage battery for colloid energy storage and storage battery using colloid electrolyte;
the energy storage battery can effectively collect the redundant power under the condition of abundant power resources and release the redundant power when needed, so that the load capacity of a power grid is effectively increased, however, in the long-term use process of the energy storage battery, the existing maintenance mode of the energy storage battery is basically carried out in a manual periodic inspection mode due to the large number and large scale of the energy storage batteries, however, the manual periodic inspection mode not only can lead to the maintenance of a large number of batteries which do not meet the maintenance requirement in use, but also wastes manpower and material resources, and the high-load energy storage battery is not maintained in time so as to have the fault condition, so that the energy storage battery safety maintenance management system capable of actively adapting to different use conditions of the energy storage battery is needed;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
According to the invention, the operation faults and the actual operation loads of the energy storage battery are obtained, the maintenance time is reasonably analyzed according to the operation faults and the actual operation loads, the maintenance demands caused by different conditions of the energy storage battery are classified according to the priority degrees, the maintenance route is reasonably distributed according to the classification conditions and the positions of the energy storage battery, the maintenance efficiency and the maintenance timeliness are improved, after the energy storage battery is maintained, the maintenance self-checking is timely carried out, the phenomenon of repeated maintenance is avoided, the waste of manpower and material resources is prevented, the equipment damage caused by the faults is prevented, the problem that the energy storage battery lacks an effective maintenance system, the maintenance operation of the energy storage battery is difficult and the manpower and material resources are wasted is solved, and the energy storage battery safety maintenance management system based on artificial intelligence is provided.
The aim of the invention can be achieved by the following technical scheme:
the energy storage battery safety maintenance management system based on artificial intelligence comprises a maintenance requirement acquisition unit, a maintenance management unit, a maintenance substitution unit, a maintenance batch analysis unit and a maintenance result feedback unit, wherein the maintenance requirement acquisition unit can acquire the maintenance requirement of the energy storage battery, the maintenance requirement comprises abnormal operation maintenance and operation expiration maintenance, and the maintenance requirement acquisition unit sends the maintenance requirement to the maintenance management unit;
after the maintenance management unit acquires the maintenance requirement, generating a maintenance signal for the energy storage battery according to the maintenance requirement, and simultaneously transmitting the maintenance signal to the maintenance substitution unit and the maintenance batch analysis unit;
after the maintenance replacing unit acquires the maintenance signal, analyzing the maintained battery, selecting an energy storage battery which can replace the maintained energy storage battery and is not required to be maintained, marking the energy storage battery as a replacement energy storage battery, when the replacement energy storage battery is absent, selecting the time when the maintained battery is free of work load or the time point when the work load is small, and recording the time as maintainable time, wherein the maintenance replacing unit sends the replacement energy storage battery or the maintainable time to the maintenance management unit;
the maintenance management unit sends the substitute energy storage battery and the maintainable time to the maintenance batch analysis unit, the maintenance batch analysis unit sequentially arranges the maintenance of the energy storage battery according to the substitute energy storage battery and the maintainable time to generate a maintenance batch sequence, the maintenance batch sequence is fed back to the maintenance management unit, and the maintenance management unit generates a maintenance end signal after the maintenance is completed;
after the maintenance management unit acquires the maintenance end signal, the maintenance end signal is sent to the maintenance result feedback unit, the maintenance result feedback unit detects the maintained energy storage battery according to the maintenance end signal, the detected result is sent to the maintenance requirement acquisition unit, and the maintenance requirement acquisition unit generates a maintenance completion signal or regenerates a maintenance requirement according to the detected result.
As a preferred embodiment of the present invention, the maintenance requirement collection unit monitors the operation of the energy storage battery, counts the abnormal condition when the operation of the energy storage battery is abnormal, and classifies the abnormal condition into a high-risk abnormality and a low-risk abnormality according to the type of the abnormal condition, the maintenance requirement collection unit sets an operation abnormality threshold value X0 and an operation abnormality value X, when the high-risk abnormality of the energy storage battery is obtained, the value of X is increased by a, when the low-risk abnormality of the energy storage battery is obtained, the value of X is increased by b, and a > b, when the operation abnormality value X is increased to be greater than or equal to X0, the energy storage battery is marked as the operation abnormality battery, and a maintenance requirement for operation abnormality maintenance is generated;
the maintenance requirement acquisition unit counts the time when the energy storage battery is put into use or after the last maintenance is completed, records the standby time of the energy storage battery as T, records the charge and discharge time of the energy storage battery as T, records the charge and discharge cycle times of the energy storage battery as M, calculates the actual use time Y of the energy storage battery through a formula,and when the value of the actual use time Y is larger than a preset maintenance interval, marking the energy storage battery as an operation expiration battery, and generating a maintenance requirement for operation expiration maintenance.
As a preferred embodiment of the present invention, the maintenance management unit generates an urgent maintenance signal after acquiring a maintenance requirement for running abnormal maintenance, and generates a normal maintenance signal after receiving a maintenance requirement for running expired maintenance.
As a preferred embodiment of the present invention, after the maintenance replacing unit obtains the maintenance signal, calculating a corresponding expected time for maintenance according to the urgent maintenance signal or the normal maintenance signal, and searching for an energy storage battery with no workload in other energy storage batteries without maintenance according to the expected time for maintenance, wherein the time is longer than the expected time for maintenance, and marking the energy storage battery as a replaced energy storage battery;
the maintenance substitution unit acquires the operation time of the maintained energy storage battery after the substitution energy storage battery is not found, selects a time period without workload in the operation time, compares the time period without workload with the expected maintenance time, and records the time period without workload as maintainable time if the time period without workload is greater than the expected maintenance time;
if the time period without the workload is less than or equal to the expected maintenance time, selecting the time period with the workload less than the preset load in the running time, recording the time period as a low workload time period, and if the low workload time period is greater than the expected maintenance time, recording the time period as a maintainable time;
and if the low workload time period is less than or equal to the expected maintenance time period, after the preset load is increased, the low workload time period is selected again until the maintainable time is obtained when the low workload time period is greater than the expected maintenance time period.
As a preferred embodiment of the present invention, after the maintenance lot analyzing unit acquires the maintenance signals, the emergency maintenance signals are classified into one set, the normal maintenance signals are classified into one set, a plurality of maintenance lines are generated, and the number of the maintenance lines is determined according to the number of maintenance devices and maintenance personnel.
As a preferred embodiment of the present invention, the maintenance batch analysis unit selects a set of normal maintenance signals, calculates the set of normal maintenance signals and the number of maintenance lines, and rounds up the calculation result when the number in the set of normal maintenance signals is the number of maintenance lines, so as to obtain the number N of energy storage batteries allocated by each maintenance line and generating the normal maintenance signals;
the maintenance batch analysis unit selects an emergency maintenance signal set, compares the number of the emergency maintenance signal set with the number of the maintenance lines, generates an emergency equipartition line if the number of the emergency maintenance signal set is smaller than or equal to the number of the maintenance lines, and generates an emergency stacking line if the number of the emergency maintenance signal set is larger than the number of the maintenance lines.
As a preferred embodiment of the present invention, the generation process of the emergency average division line is as follows:
s1: selecting any group of energy storage batteries for generating emergency maintenance signals, and recording the energy storage batteries as first maintenance batteries;
s2: then taking the first maintenance battery as a starting point, selecting an energy storage battery which is closest to the first maintenance battery and generates a normal maintenance signal, and taking the energy storage battery as a subsequent maintenance battery;
s3: repeating the step S2 until the number of the subsequent maintenance batteries is equal to the number N of the energy storage batteries which are distributed by each maintenance line and generate the normal maintenance signals;
s4: and (3) repeating the steps S1-S3, wherein the energy storage batteries which are distributed in the steps S1-S3 are not distributed any more, when the distribution of the energy storage batteries in the emergency maintenance signals is completed, the energy storage batteries in the normal maintenance signal set are selected as the first maintenance batteries, and when the distribution of the energy storage batteries in the normal maintenance signal set is completed, the distribution of the emergency equipartition circuit is completed.
As a preferred embodiment of the present invention, the generation process of the urgent stacked circuit is as follows:
step one: dividing the number in the emergency maintenance signal set by the number of maintenance lines to obtain the number n of energy storage batteries distributed by each maintenance line for generating the emergency maintenance signal;
step two: selecting a group of energy storage batteries which are closest to the starting point of the maintenance line and generate emergency maintenance signals, and recording the energy storage batteries as first maintenance batteries;
step three: selecting an energy storage battery closest to the first maintenance battery and used for generating an urgent maintenance signal, and taking the energy storage battery as a subsequent maintenance battery;
step four: then selecting an energy storage battery which is closest to the subsequent maintenance battery in the step three and generates an urgent maintenance signal as the subsequent maintenance battery;
step five: repeating the step four for a plurality of times until the number of the subsequent maintenance batteries is equal to the number n of the energy storage batteries which are distributed by each maintenance line and generate the emergency maintenance signals;
step six: and selecting a group of batteries which are closest to the last group and generate normal maintenance signals from the last group of subsequent maintenance batteries which generate the emergency maintenance signals as a starting point, continuously and repeatedly accumulating for a plurality of times until the number of the subsequent maintenance batteries which generate the normal maintenance signals is equal to the number N of the energy storage batteries which generate the normal maintenance signals and are distributed by each maintenance line, selecting the energy storage batteries in the normal maintenance signal set after the energy storage batteries in the emergency maintenance signals are distributed, and completing the distribution of the emergency stacking lines after the distribution of the energy storage batteries in the normal maintenance signal set is completed.
As a preferred embodiment of the present invention, the maintenance lot analyzing unit takes the maintainable time of the first maintenance battery in the urgent maintenance signal as a maintenance time starting point, or takes a time period without work load of the substitute energy storage battery as a maintenance time starting point;
and the maintenance management unit immediately generates a maintenance end signal after each group in the maintenance line is maintained by the maintenance energy storage battery, and sends the maintenance end signal to the maintenance result feedback unit.
As a preferred embodiment of the present invention, after the maintenance result feedback unit detects the energy storage battery after maintenance is completed, if a maintenance completion signal is generated, the maintenance completion signal is sent to the maintenance requirement collection unit, and if a re-maintenance requirement is generated, the re-maintenance requirement is sent to the maintenance management unit through the maintenance requirement collection unit;
after the maintenance management unit obtains the re-maintenance requirement, the maintenance line for generating the re-maintenance requirement is adjusted, so that the energy storage battery for generating the re-maintenance requirement is positioned in front of the next group of energy storage batteries to be maintained.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, before the maintenance of the energy storage battery, the operation fault and the actual operation load are obtained by analyzing the operation state of the energy storage battery, and the maintenance time is reasonably analyzed according to the operation fault and the actual operation load, so that the premature maintenance or the too late maintenance caused by the same periodic maintenance is avoided, the waste of manpower and material resources is prevented, the occurrence of the condition of untimely maintenance is also prevented, and the rationality of the maintenance resource allocation is improved.
2. In the invention, when the energy storage battery is maintained, the maintenance demands caused by different conditions of the energy storage battery are classified in priority, and the maintenance route is reasonably distributed according to the classification conditions and the positions of the energy storage battery, so that the maintenance efficiency and the maintenance timeliness are improved, and the equipment damage caused by faults is prevented.
3. In the invention, after the maintenance of the energy storage battery, the maintenance self-check is timely carried out, if the self-check passes, the maintenance of the next energy storage battery is carried out, and if the self-check fails, the reworking maintenance is timely carried out, so that the phenomenon of repeated maintenance is avoided.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
Embodiment one:
referring to fig. 1, an artificial intelligence-based energy storage battery safety maintenance management system comprises a maintenance requirement acquisition unit, a maintenance management unit, a maintenance substitution unit, a maintenance batch analysis unit and a maintenance result feedback unit, wherein the maintenance requirement acquisition unit can acquire maintenance requirements of an energy storage battery, the maintenance requirements comprise operation abnormal maintenance and operation expiration maintenance, the maintenance requirement acquisition unit monitors the operation of the energy storage battery, when the operation of the energy storage battery is abnormal, the abnormal condition is counted, the abnormal condition is divided into high-risk abnormality and low-risk abnormality according to the type of the abnormal condition, the maintenance requirement acquisition unit sets an operation abnormal threshold X0 and an operation abnormal value X, when the high-risk abnormality of the energy storage battery is acquired, the value of X is increased by a, when the low-risk abnormality of the energy storage battery is acquired, the value of X is increased by b, and a is larger than b, and when the operation abnormal value X is increased to be more than or equal to X0, the energy storage battery is marked as the operation abnormal battery, and the maintenance requirements of the operation abnormal maintenance are generated;
maintenance requirement collectionThe unit counts time when the energy storage battery is put into use or after the last maintenance is completed, records standby time of the energy storage battery as T, records charge and discharge time of the energy storage battery as T, records the charge and discharge cycle times of the energy storage battery as M, calculates actual use time Y of the energy storage battery through a formula,the method comprises the steps that q, k and j are preset weight coefficients, a maintenance requirement acquisition unit continuously calculates the value of actual use time Y along with the use of an energy storage battery, the energy storage battery is marked as an operation expiration battery when the value of the actual use time Y is larger than a preset maintenance interval, a maintenance requirement for operation expiration maintenance is generated, and the maintenance requirement acquisition unit sends the maintenance requirement to a maintenance management unit;
the maintenance management unit generates an urgent maintenance signal after acquiring the maintenance requirement of running abnormal maintenance, generates a normal maintenance signal after receiving the maintenance requirement of running due maintenance, and simultaneously sends the maintenance signal to the maintenance substitution unit and the maintenance batch analysis unit, wherein the maintenance signal comprises the urgent maintenance signal and the normal maintenance signal;
after the maintenance replacing unit acquires the maintenance signal, analyzing the maintained battery, calculating corresponding expected maintenance time according to the emergency maintenance signal or the normal maintenance signal, searching for an energy storage battery with no workload in other energy storage batteries without maintenance according to the expected maintenance time, marking the energy storage battery as a substitute energy storage battery, acquiring the running time of the maintained energy storage battery when the substitute energy storage battery is absent, selecting a time period without workload in the running time, comparing the time period without workload with the expected maintenance time, and recording the time period without workload as maintainable time if the time period without workload is greater than the expected maintenance time;
if the time period without the workload is less than or equal to the expected maintenance time, selecting the time period with the workload less than the preset load in the running time, recording the time period as a low workload time period, and if the low workload time period is greater than the expected maintenance time, recording the time period as a maintainable time;
and if the low workload time period is less than or equal to the expected maintenance time period, after the preset load is increased, the low workload time period is selected again until the maintainable time is acquired when the low workload time period is greater than the expected maintenance time period, and the maintenance substitution unit sends the substitute energy storage battery or the maintainable time to the maintenance management unit.
Examples
Referring to fig. 1, a maintenance management unit sends a substitute energy storage battery and a maintainable time to a maintenance batch analysis unit, the maintenance batch analysis unit classifies emergency maintenance signals into one set after obtaining the maintenance signals, classifies normal maintenance signals into one set to generate a plurality of maintenance lines, the number of the maintenance lines is determined according to the number of maintenance equipment and maintenance personnel, the maintenance batch analysis unit selects the set of the normal maintenance signals, calculates the set of the normal maintenance signals and the number of the maintenance lines, the number in the set of the normal maintenance signals is the number of the maintenance lines, and the calculated result is rounded up to obtain the number N of the energy storage batteries distributed by each maintenance line and used for generating the normal maintenance signals;
the maintenance batch analysis unit selects an emergency maintenance signal set, compares the number of the emergency maintenance signal set with the number of the maintenance lines, and generates an emergency equipartition line if the number of the emergency maintenance signal set is less than or equal to the number of the maintenance lines, wherein the generation process of the emergency equipartition line is as follows:
s1: selecting any group of energy storage batteries for generating emergency maintenance signals, and recording the energy storage batteries as first maintenance batteries;
s2: then taking the first maintenance battery as a starting point, selecting an energy storage battery which is closest to the first maintenance battery and generates a normal maintenance signal, and taking the energy storage battery as a subsequent maintenance battery;
s3: repeating the step S2 until the number of the subsequent maintenance batteries is equal to the number N of the energy storage batteries which are distributed by each maintenance line and generate the normal maintenance signals;
s4: repeating the steps S1 to S3, wherein the energy storage batteries which are distributed in the steps S1 to S3 are not distributed any more, when the distribution of the energy storage batteries in the emergency maintenance signals is completed, the energy storage batteries in the normal maintenance signal set are selected as first maintenance batteries, and when the distribution of the energy storage batteries in the normal maintenance signal set is completed, the distribution of the emergency equipartition circuit is completed;
if the number of the emergency maintenance signal sets is greater than the number of the maintenance lines, generating emergency stacked lines; the generation process of the emergency stacked circuit comprises the following steps:
step one: dividing the number in the emergency maintenance signal set by the number of maintenance lines to obtain the number n of energy storage batteries distributed by each maintenance line for generating the emergency maintenance signal;
step two: selecting a group of energy storage batteries which are closest to the starting point of the maintenance line and generate emergency maintenance signals, and recording the energy storage batteries as first maintenance batteries;
step three: selecting an energy storage battery closest to the first maintenance battery and used for generating an urgent maintenance signal, and taking the energy storage battery as a subsequent maintenance battery;
step four: then selecting an energy storage battery which is closest to the subsequent maintenance battery in the step three and generates an urgent maintenance signal as the subsequent maintenance battery;
step five: repeating the step four for a plurality of times until the number of the subsequent maintenance batteries is equal to the number n of the energy storage batteries which are distributed by each maintenance line and generate the emergency maintenance signals;
step six: selecting a group of batteries which are closest to the last group and generate normal maintenance signals from the last group of subsequent maintenance batteries which generate the emergency maintenance signals as a starting point, and continuously and repeatedly accumulating for a plurality of times until the number of the subsequent maintenance batteries which generate the normal maintenance signals is equal to the number N of the energy storage batteries which generate the normal maintenance signals and are distributed by each maintenance line, selecting the energy storage batteries in the normal maintenance signal set after the energy storage batteries in the emergency maintenance signals are distributed, and completing the distribution of the emergency stacking lines after the distribution of the energy storage batteries in the normal maintenance signal set is completed;
the maintenance batch analysis unit takes the maintainable time of the first maintenance battery in the emergency maintenance signal as a maintenance time starting point, or takes the time period without work load of the replacement energy storage battery as a maintenance time starting point, and feeds back the maintenance batch sequence to the maintenance management unit, the maintenance management unit immediately generates a maintenance end signal after each group of maintained energy storage batteries in the maintenance line are maintained, and sends the maintenance end signal to the maintenance result feedback unit, the maintenance management unit sends the maintenance end signal to the maintenance result feedback unit after acquiring the maintenance end signal, the maintenance result feedback unit detects the maintained energy storage battery according to the maintenance end signal, and after the maintenance result feedback unit detects the maintained energy storage battery, if the maintenance end signal is generated, the maintenance end signal is sent to the maintenance requirement acquisition unit, and if the maintenance requirement is generated again, the maintenance requirement is sent to the maintenance management unit through the maintenance requirement acquisition unit;
after the maintenance management unit obtains the re-maintenance requirement, an adjustment is made to a maintenance line for generating the re-maintenance requirement, so that the energy storage battery for generating the re-maintenance requirement is positioned in front of the next group of energy storage batteries to be maintained.
According to the invention, before the maintenance of the energy storage battery, the operation fault and the actual operation load are obtained according to the operation state of the energy storage battery, the maintenance time is reasonably analyzed according to the operation fault and the actual operation load, the premature maintenance or the too late maintenance caused by the same periodic maintenance is avoided, when the maintenance of the energy storage battery is carried out, the priority classification is carried out on the maintenance requirements caused by different conditions of the energy storage battery, the maintenance route is reasonably distributed according to the classification condition and the position of the energy storage battery, the maintenance efficiency and the maintenance timeliness are improved, after the maintenance of the energy storage battery is carried out, the maintenance self-checking is carried out in time, the phenomenon of repeated maintenance is avoided, the waste of manpower and material resources is prevented, the occurrence of the condition of untimely maintenance is prevented, the maintenance resource allocation rationality is improved, and the equipment damage caused by the fault is prevented.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The energy storage battery safety maintenance management system based on artificial intelligence is characterized by comprising a maintenance requirement acquisition unit, a maintenance management unit, a maintenance substitution unit, a maintenance batch analysis unit and a maintenance result feedback unit, wherein the maintenance requirement acquisition unit can acquire the maintenance requirement of the energy storage battery, the maintenance requirement comprises abnormal operation maintenance and due operation maintenance, and the maintenance requirement acquisition unit sends the maintenance requirement to the maintenance management unit;
after the maintenance management unit acquires the maintenance requirement, generating a maintenance signal for the energy storage battery according to the maintenance requirement, and simultaneously transmitting the maintenance signal to the maintenance substitution unit and the maintenance batch analysis unit;
after the maintenance replacing unit acquires the maintenance signal, analyzing the maintained battery, selecting an energy storage battery which can replace the maintained energy storage battery and is not required to be maintained, marking the energy storage battery as a replacement energy storage battery, when the replacement energy storage battery is absent, selecting the time when the maintained battery is free of work load or the time point when the work load is small, and recording the time as maintainable time, wherein the maintenance replacing unit sends the replacement energy storage battery or the maintainable time to the maintenance management unit;
the maintenance management unit sends the substitute energy storage battery and the maintainable time to the maintenance batch analysis unit, the maintenance batch analysis unit sequentially arranges the maintenance of the energy storage battery according to the substitute energy storage battery and the maintainable time to generate a maintenance batch sequence, the maintenance batch sequence is fed back to the maintenance management unit, and the maintenance management unit generates a maintenance end signal after the maintenance is completed;
the maintenance management unit sends a maintenance end signal to the maintenance result feedback unit after acquiring the maintenance end signal, the maintenance result feedback unit detects the maintained energy storage battery according to the maintenance end signal and sends the detected result to the maintenance requirement acquisition unit, and the maintenance requirement acquisition unit generates a maintenance completion signal or regenerates a maintenance requirement according to the detected result;
the maintenance requirement acquisition unit monitors the operation of the energy storage battery, counts the abnormal condition when the operation of the energy storage battery is abnormal, and divides the abnormal condition into high-risk abnormality and low-risk abnormality according to the type of the abnormal condition, the maintenance requirement acquisition unit sets an operation abnormal threshold X0 and an operation abnormal value X, when the high-risk abnormality of the energy storage battery is acquired, the X value is increased by a, when the low-risk abnormality of the energy storage battery is acquired, the X value is increased by b, and a is larger than b, when the operation abnormal value X is increased to be more than or equal to X0, the energy storage battery is marked as the operation abnormal battery, and the maintenance requirement of the operation abnormal maintenance is generated;
the maintenance requirement acquisition unit counts the time when the energy storage battery is put into use or after the last maintenance is completed, records the standby time of the energy storage battery as T, records the charge and discharge time of the energy storage battery as T, records the charge and discharge cycle times of the energy storage battery as M, calculates the actual use time Y of the energy storage battery through a formula,and when the value of the actual use time Y is larger than a preset maintenance interval, marking the energy storage battery as an operation expiration battery, and generating a maintenance requirement for operation expiration maintenance.
2. The system according to claim 1, wherein the maintenance management unit generates an urgent maintenance signal after acquiring a maintenance requirement for operation-abnormality maintenance, and generates a normal maintenance signal after receiving a maintenance requirement for operation-expiration maintenance.
3. The system according to claim 2, wherein after the maintenance replacing unit obtains the maintenance signal, the maintenance replacing unit calculates a corresponding expected time for maintenance according to the urgent maintenance signal or the normal maintenance signal, and marks the energy storage battery as a replaced energy storage battery according to the expected time for searching the energy storage battery without workload among other energy storage batteries without maintenance for a time longer than the expected time for maintenance;
the maintenance substitution unit acquires the operation time of the maintained energy storage battery after the substitution energy storage battery is not found, selects a time period without workload in the operation time, compares the time period without workload with the expected maintenance time, and records the time period without workload as maintainable time if the time period without workload is greater than the expected maintenance time;
if the time period without the workload is less than or equal to the expected maintenance time, selecting the time period with the workload less than the preset load in the running time, recording the time period as a low workload time period, and if the low workload time period is greater than the expected maintenance time, recording the time period as a maintainable time;
and if the low workload time period is less than or equal to the expected maintenance time period, after the preset load is increased, the low workload time period is selected again until the maintainable time is obtained when the low workload time period is greater than the expected maintenance time period.
4. The system according to claim 3, wherein the maintenance lot analyzing unit classifies the emergency maintenance signals into one set, classifies the normal maintenance signals into one set, and generates a plurality of maintenance lines, the number of which is determined according to the number of maintenance devices and maintenance personnel after the maintenance signals are acquired.
5. The system of claim 4, wherein the maintenance batch analysis unit selects a set of normal maintenance signals, calculates the set of normal maintenance signals and the number of maintenance lines, and rounds up the calculation result to obtain the number N of the energy storage batteries allocated by each maintenance line to generate the normal maintenance signals;
the maintenance batch analysis unit selects an emergency maintenance signal set, compares the number of the emergency maintenance signal set with the number of the maintenance lines, generates an emergency equipartition line if the number of the emergency maintenance signal set is smaller than or equal to the number of the maintenance lines, and generates an emergency stacking line if the number of the emergency maintenance signal set is larger than the number of the maintenance lines.
6. The artificial intelligence based energy storage battery safety maintenance management system according to claim 5, wherein the generation process of the emergency equipartition line is as follows:
s1: selecting any group of energy storage batteries for generating emergency maintenance signals, and recording the energy storage batteries as first maintenance batteries;
s2: then taking the first maintenance battery as a starting point, selecting an energy storage battery which is closest to the first maintenance battery and generates a normal maintenance signal, and taking the energy storage battery as a subsequent maintenance battery;
s3: repeating the step S2 until the number of the subsequent maintenance batteries is equal to the number N of the energy storage batteries which are distributed by each maintenance line and generate the normal maintenance signals;
s4: and (3) repeating the steps S1-S3, wherein the energy storage batteries which are distributed in the steps S1-S3 are not distributed any more, when the distribution of the energy storage batteries in the emergency maintenance signals is completed, the energy storage batteries in the normal maintenance signal set are selected as the first maintenance batteries, and when the distribution of the energy storage batteries in the normal maintenance signal set is completed, the distribution of the emergency equipartition circuit is completed.
7. The artificial intelligence based energy storage battery safety maintenance management system of claim 6, wherein the generation process of the emergency stack circuit is:
step one: dividing the number in the emergency maintenance signal set by the number of maintenance lines to obtain the number n of energy storage batteries distributed by each maintenance line for generating the emergency maintenance signal;
step two: selecting a group of energy storage batteries which are closest to the starting point of the maintenance line and generate emergency maintenance signals, and recording the energy storage batteries as first maintenance batteries;
step three: selecting an energy storage battery closest to the first maintenance battery and used for generating an urgent maintenance signal, and taking the energy storage battery as a subsequent maintenance battery;
step four: then selecting an energy storage battery which is closest to the subsequent maintenance battery in the step three and generates an urgent maintenance signal as the subsequent maintenance battery;
step five: repeating the step four for a plurality of times until the number of the subsequent maintenance batteries is equal to the number n of the energy storage batteries which are distributed by each maintenance line and generate the emergency maintenance signals;
step six: and selecting a group of batteries which are closest to the last group and generate normal maintenance signals from the last group of subsequent maintenance batteries which generate the emergency maintenance signals as a starting point, continuously and repeatedly accumulating for a plurality of times until the number of the subsequent maintenance batteries which generate the normal maintenance signals is equal to the number N of the energy storage batteries which generate the normal maintenance signals and are distributed by each maintenance line, selecting the energy storage batteries in the normal maintenance signal set after the energy storage batteries in the emergency maintenance signals are distributed, and completing the distribution of the emergency stacking lines after the distribution of the energy storage batteries in the normal maintenance signal set is completed.
8. The system according to claim 7, wherein the maintenance lot analysis unit takes a maintainable time of a first maintenance battery in the emergency maintenance signal as a maintenance time start point or takes a time period without a work load of replacing the energy storage battery as a maintenance time start point;
and the maintenance management unit immediately generates a maintenance end signal after each group in the maintenance line is maintained by the maintenance energy storage battery, and sends the maintenance end signal to the maintenance result feedback unit.
9. The energy storage battery safety maintenance management system based on artificial intelligence according to claim 8, wherein after the maintenance result feedback unit detects the energy storage battery after maintenance is completed, if a maintenance completion signal is generated, the maintenance completion signal is sent to the maintenance requirement collection unit, and if a re-maintenance requirement is generated, the re-maintenance requirement is sent to the maintenance management unit through the maintenance requirement collection unit;
after the maintenance management unit obtains the re-maintenance requirement, the maintenance line for generating the re-maintenance requirement is adjusted, so that the energy storage battery for generating the re-maintenance requirement is positioned in front of the next group of energy storage batteries to be maintained.
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