CN116819416A - Maintenance method, equipment and storage medium for end sensor of energy storage power plant - Google Patents
Maintenance method, equipment and storage medium for end sensor of energy storage power plant Download PDFInfo
- Publication number
- CN116819416A CN116819416A CN202310534502.1A CN202310534502A CN116819416A CN 116819416 A CN116819416 A CN 116819416A CN 202310534502 A CN202310534502 A CN 202310534502A CN 116819416 A CN116819416 A CN 116819416A
- Authority
- CN
- China
- Prior art keywords
- maintenance
- energy storage
- index
- detection
- power plant
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 267
- 238000004146 energy storage Methods 0.000 title claims abstract description 153
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000003860 storage Methods 0.000 title claims abstract description 18
- 238000001514 detection method Methods 0.000 claims abstract description 172
- 238000004590 computer program Methods 0.000 claims description 16
- 230000000737 periodic effect Effects 0.000 claims description 12
- 239000004973 liquid crystal related substance Substances 0.000 claims description 5
- 238000004891 communication Methods 0.000 description 8
- 238000007689 inspection Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000009826 distribution Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Abstract
The embodiment of the invention discloses an energy storage power plant end sensor overhaul method, equipment and a storage medium. The method comprises the following steps: acquiring maintenance operation information and period detection information of an end sensor of an energy storage power plant; wherein, maintenance operation and maintenance information includes: maintenance period, last maintenance time and normal operation threshold of the end sensor of the energy storage power plant; period detection information, including: at least one detection time, and an operation detection value corresponding to each detection time; according to the maintenance operation and maintenance information and the period detection information, determining a state period operation and maintenance index, a state trend operation and maintenance index and an overhaul time index of the end sensor of the energy storage power plant; and determining an overhaul strategy of the end sensor of the energy storage power plant according to the state period operation and maintenance index, the state trend operation and maintenance index and the overhaul time index. According to the method, the maintenance prompt is carried out on the end sensor of the energy storage power plant according to the operation and maintenance information and the detection information of the end sensor of the energy storage power plant so as to avoid missed detection or over detection.
Description
Technical Field
The invention relates to the technical field of power electronics, in particular to an energy storage power plant end sensor overhaul method, equipment and storage medium.
Background
In industrial applications, a large number of energy storage plant end sensors are typically distributed and a wide range of distributions. The maintenance of the end sensors of an energy storage power plant is usually a manual check-out in units of years.
For example, equipment data labels are usually manually filled in and posted, and the inspection is performed according to an annual inspection plan. The quantity and the distribution of the end sensors of the energy storage power plant are large, so that the operation and maintenance workload is large. The detection period of the end sensor of the energy storage power plant is long, and the detection is missed or overdetected, so that the maintenance of the end sensor of the energy storage power plant cannot be accurately controlled.
Disclosure of Invention
The invention provides an overhaul method, equipment and storage medium for an end sensor of an energy storage power plant, which are used for carrying out overhaul prompt on the end sensor of the energy storage power plant and avoiding missing inspection or over inspection.
According to an aspect of the present invention, there is provided an energy storage power plant end sensor overhaul method, the method comprising:
acquiring maintenance operation information and period detection information of the end sensor of the energy storage power plant;
wherein, the maintenance operation information includes: the maintenance period, the last maintenance time and the normal operation threshold of the energy storage power plant tail end sensor; the period detection information includes: at least one detection time, and an operation detection value corresponding to each of the detection times;
according to the maintenance operation and maintenance information and the period detection information, determining a state period operation and maintenance index, a state trend operation and maintenance index and a maintenance time index of the energy storage power plant end sensor;
and determining an overhaul strategy of the energy storage power plant terminal sensor according to the state period operation and maintenance index, the state trend operation and maintenance index and the overhaul time index.
Optionally, determining the state periodic operation and maintenance index of the energy storage power plant end sensor according to the maintenance and operation information and the period detection information includes:
and determining a state period operation and maintenance index of the energy storage power plant end sensor according to the normal operation threshold value and each operation detection value.
Optionally, determining the state periodic operation and maintenance index of the end sensor of the energy storage power plant according to the normal operation threshold value and each operation detection value includes:
using the formulaDetermining state periodic operation and maintenance indexes of the end sensors of the energy storage power plant;
wherein alpha is 1 The state period operation and maintenance index is used; n is the total detection times corresponding to the period detection information; f (F) n The operation detection value is corresponding to the detection times n; and H is the normal operation threshold value.
Optionally, determining the state trend operation and maintenance index of the energy storage power plant end sensor according to the maintenance operation and maintenance information and the period detection information includes:
and determining state trend operation and maintenance indexes of the energy storage power plant end sensor according to the detection time and the operation detection value corresponding to the detection time.
Optionally, determining the state trend operation and maintenance index of the energy storage power plant end sensor according to each detection time and the operation detection value corresponding to each detection time includes:
using the formulaDetermining state trend operation and maintenance indexes of the end sensors of the energy storage power plant;
wherein alpha is 2 The state trend operation and maintenance index is used; f (F) n The operation detection value is corresponding to the detection times n; t is t n The detection time is corresponding to the detection time when the detection times are n.
Optionally, determining the maintenance time index of the energy storage power plant end sensor according to the maintenance operation information and the period detection information includes:
and determining maintenance time indexes of the energy storage power plant end sensor according to the maintenance period, the last maintenance time and the detection time.
Optionally, determining the maintenance time index of the energy storage power plant end sensor according to the maintenance period, the last maintenance time and each detection time includes:
using the formulaDetermining maintenance time indexes of the end sensors of the energy storage power plant;
wherein beta is the maintenance time index; t is the maintenance period; t (T) K The maintenance time is the last time; t is t n The detection time is corresponding to the detection time when the detection times are n.
Optionally, determining the maintenance strategy of the energy storage power plant end sensor according to the state period operation and maintenance index, the state trend operation and maintenance index and the maintenance time index includes:
if the state period operation and maintenance index is greater than or equal to a preset state deviation threshold, determining that the maintenance strategy of the energy storage power plant end sensor is immediate maintenance;
if the state period operation and maintenance index is smaller than a preset state deviation threshold value and the state trend operation and maintenance index is a first preset state trend value, determining that the maintenance strategy of the energy storage power plant end sensor is immediate maintenance;
and if the state period operation and maintenance index is smaller than a preset state deviation threshold, determining an overhaul strategy of the energy storage power plant end sensor according to the overhaul time index, wherein the state trend operation and maintenance index is a second preset state trend value.
According to another aspect of the present invention, there is provided an energy storage power plant end sensor service apparatus, the apparatus comprising:
the information acquisition module is used for acquiring maintenance operation information and period detection information of the energy storage power plant end sensor;
wherein, the maintenance operation information includes: the maintenance period, the last maintenance time and the normal operation threshold of the energy storage power plant tail end sensor; the period detection information includes: at least one detection time, and an operation detection value corresponding to each of the detection times;
the index determining module is used for determining a state periodic operation and maintenance index, a state trend operation and maintenance index and an overhaul time index of the energy storage power plant tail end sensor according to the maintenance operation and maintenance information and the period detection information;
and the overhaul strategy determining module is used for determining an overhaul strategy of the energy storage power plant terminal sensor according to the state period operation and maintenance index, the state trend operation and maintenance index and the overhaul time index.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of energy storage plant end sensor overhaul of any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute the method for repairing an end sensor of an energy storage power plant according to any one of the embodiments of the present invention.
According to the technical scheme, the maintenance operation information and the period detection information of the end sensor of the energy storage power plant are obtained; wherein, maintenance operation and maintenance information includes: maintenance period, last maintenance time and normal operation threshold of the end sensor of the energy storage power plant; period detection information, including: at least one detection time, and an operation detection value corresponding to each detection time; according to the maintenance operation and maintenance information and the period detection information, determining a state period operation and maintenance index, a state trend operation and maintenance index and an overhaul time index of the end sensor of the energy storage power plant; according to the state periodic operation and maintenance index, the state trend operation and maintenance index and the overhaul time index, an overhaul strategy of the end sensor of the energy storage power plant is determined, so that the overhaul control problem of the end sensor of the energy storage power plant is solved, and overhaul prompt can be carried out on the end sensor of the energy storage power plant to avoid missed detection or over detection.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an energy storage power plant end sensor overhaul method according to a first embodiment of the invention;
fig. 2 is a schematic structural diagram of an end sensor maintenance device of an energy storage power plant according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device implementing a method for overhauling an end sensor of an energy storage power plant according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent 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 present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of an energy storage power plant end sensor maintenance method according to an embodiment of the present invention, where the embodiment may be adapted to control maintenance of an energy storage power plant end sensor to avoid a condition of missed detection or over-detection, and the method may be performed by an energy storage power plant end sensor maintenance device, where the energy storage power plant end sensor maintenance device may be implemented in hardware and/or software, and where the energy storage power plant end sensor maintenance device may be configured in an electronic device. As shown in fig. 1, the method includes:
and 110, acquiring maintenance operation information and period detection information of the end sensor of the energy storage power plant.
Wherein, maintenance operation and maintenance information includes: maintenance period, last maintenance time and normal operation threshold of the end sensor of the energy storage power plant; period detection information, including: at least one detection time, and an operation detection value corresponding to each detection time.
For example, the energy storage power plant end sensor may have a two-dimensional code tag thereon. The maintenance operation information and the period detection information of the end sensor of the energy storage power plant can be obtained by scanning the two-dimension code label. For example, the maintenance period of the end sensor of the energy storage power plant is 3 years, the last maintenance time is 2020, 5, 3 days, the normal operation threshold value is 0.9, the detection time is 2021, 1, 3, 2022, 1, 3 days, 2023, and the corresponding operation detection value is 0.88,0.9,0.89.
And 120, determining a state period operation and maintenance index, a state trend operation and maintenance index and a maintenance time index of the end sensor of the energy storage power plant according to the maintenance operation and maintenance information and the period detection information.
In this step, the state cycle operation and maintenance index may be used to monitor the degree of deviation between the operation detection value of the plurality of measurements and the normal operation threshold value. If the deviation is large, the end sensor of the energy storage power plant can be overhauled; if the deviation is smaller, the end sensor of the energy storage power plant can be maintained.
Specifically, in an optional implementation manner of the embodiment of the present invention, determining a state periodic operation and maintenance index of an end sensor of an energy storage power plant according to maintenance and operation and maintenance information and period detection information includes: and determining the state periodic operation and maintenance index of the end sensor of the energy storage power plant according to the normal operation threshold value and each operation detection value.
The state period operation and maintenance index is determined in a plurality of modes, and the deviation degree between the operation detection value and the normal operation threshold value only needs to be represented. For example, the deviation degree may be determined according to the difference between each operation detection value and the normal operation threshold value, so as to determine the state period operation and maintenance index.
In an optional implementation manner of the embodiment of the present invention, determining a state cycle operation and maintenance index of the end sensor of the energy storage power plant according to the normal operation threshold value and each operation detection value includes: using the formulaDetermining state periodic operation and maintenance indexes of an end sensor of an energy storage power plant; wherein alpha is 1 The operation and maintenance index is a state period; n is the total detection times corresponding to the period detection information; f (F) n The operation detection value is corresponding to the detection times n; h is the normal operating threshold.
From the exemplary data of the repair operation and maintenance information and the period detection information, alpha can be determined 1 0.015.
In this step, the state trend operation index may be used to monitor the state deviation between the operation detection values of the plurality of measurements. If the latest measured operation detection value has larger state deviation from the previous operation detection value, the end sensor of the energy storage power plant can be overhauled; if the state deviation is small, the end sensor of the energy storage power plant can be maintained.
Specifically, in an optional implementation manner of the embodiment of the present invention, determining, according to the maintenance operation information and the period detection information, a state trend operation index of an end sensor of the energy storage power plant includes: and determining state trend operation and maintenance indexes of the end sensor of the energy storage power plant according to each detection time and the operation detection value corresponding to each detection time.
The state trend operation and maintenance index can be determined in various ways. For example, the state trend operation and maintenance index may be determined by running the trend of change of the detection value in a unit time range. If the change trend is not in the preset range, the state deviation can be determined to be large, and the energy storage power plant end sensor can be overhauled. If the change trend is within the preset range, the state deviation can be determined to be normal, and the energy storage power plant end sensor can be not overhauled at first.
In an optional implementation manner of the embodiment of the present invention, determining a state trend operation and maintenance index of the end sensor of the energy storage power plant according to each detection time and the operation detection value corresponding to each detection time includes: using the formulaDetermining state trend operation and maintenance indexes of an end sensor of an energy storage power plant; wherein alpha is 2 The operation and maintenance index is a state trend; f (F) n The operation detection value is corresponding to the detection times n; t is t n The detection time is corresponding to the detection time when the detection times are n.
It can be known that if the operation detection value in the last detection period is greater than the operation detection value in the last detection period, the state trend operation and maintenance index can be determined to be 1; otherwise, it may be determined that the state trend operation index is 0. From the exemplary data of the repair operation and maintenance information and the period detection information, alpha can be determined 2 Is 0.
In this step, the service time index may be used to monitor the service time of the end sensor of the energy storage power plant. If the maintenance time interval is longer, the energy storage power plant end sensor can be overhauled; if the distance maintenance time interval is shorter, the energy storage power plant end sensor can be not overhauled at first.
In an optional implementation manner of the embodiment of the present invention, determining an overhaul time index of an end sensor of an energy storage power plant according to the maintenance operation and maintenance information and the period detection information includes: and determining maintenance time indexes of the end sensor of the energy storage power plant according to the maintenance period, the last maintenance time and each detection time.
The maintenance time index can be determined in various ways. For example, the maintenance time index may be determined by comparing the time length between the last maintenance time and the detection time with the maintenance period. And if the comparison result shows that the time length is close to the maintenance period, the energy storage power plant end sensor can be overhauled. If the comparison result shows that the time length is far from the maintenance period, the energy storage power plant end sensor can be not overhauled at first.
Specifically, in an optional implementation manner of the embodiment of the present invention, determining an inspection time index of an end sensor of an energy storage power plant according to a maintenance period, a last maintenance time, and each detection time includes: using the formulaDetermining maintenance time indexes of the end sensors of the energy storage power plant; wherein, beta is an overhaul time index; t is a maintenance period; t (T) K The maintenance time is the last time; t is t n The detection time is corresponding to the detection time when the detection times are n.
From this, if the time length between the last detection time and the last maintenance time is greater than the maintenance period, it can be determined that the maintenance time index is 1; if the time length of the last detection time and the last maintenance time is smaller thanWhen the maintenance period is multiplied, the maintenance time index can be determined to be 3; otherwise, it may be determined that the inspection time index is 2. From the exemplary data of the maintenance operation information and the period detection information described above, β may be determined to be 2.
And 130, determining an overhaul strategy of the end sensor of the energy storage power plant according to the state period operation and maintenance index, the state trend operation and maintenance index and the overhaul time index.
In the embodiment of the invention, judgment of various conditions can be carried out according to the state period operation and maintenance index, the state trend operation and maintenance index and the overhaul time index so as to determine whether to overhaul the end sensor of the energy storage power plant. The service strategy may include, among other things, immediate service, scheduled service, and no service required.
For example, whether to overhaul the end sensor of the energy storage power plant can be determined according to the state period operation and maintenance index; if the judging result is that the maintenance is not needed, whether the energy storage power plant end sensor is maintained or not can be continuously determined according to the state trend operation and maintenance index; if the judging result is that the maintenance is not needed, whether the energy storage power plant end sensor is overhauled or not can be determined according to the maintenance time index.
Specifically, in an optional implementation manner of the embodiment of the present invention, determining an overhaul strategy of an end sensor of an energy storage power plant according to a state period operation and maintenance index, a state trend operation and maintenance index, and an overhaul time index includes: if the state period operation and maintenance index is greater than or equal to a preset state deviation threshold value, determining that the overhaul strategy of the end sensor of the energy storage power plant is immediate overhaul; if the state period operation and maintenance index is smaller than the preset state deviation threshold value and the state trend operation and maintenance index is a first preset state trend value, determining that the overhaul strategy of the end sensor of the energy storage power plant is immediate overhaul; if the state period operation and maintenance index is smaller than the preset state deviation threshold, determining an overhaul strategy of the end sensor of the energy storage power plant according to the overhaul time index, wherein the state trend operation and maintenance index is a second preset state trend value.
Wherein the preset state deviation threshold may be set to 0.05, if, α 1 And the maintenance strategy of the end sensor of the energy storage power plant can be determined to be immediately maintenance when the energy storage power plant end sensor is greater than or equal to 0.05. Otherwise, the maintenance strategy of the end sensor of the energy storage power plant can be determined according to the state trend operation and maintenance index. The first preset state trend value may be 1 and the second preset state trend value may be 0. If alpha 2 And 1, determining that the maintenance strategy of the end sensor of the energy storage power plant is immediate maintenance. Otherwise, the maintenance strategy of the end sensor of the energy storage power plant can be determined according to the maintenance time index.
Specifically, if the overhaul time index beta is 3, the overhaul strategy of the end sensor of the energy storage power plant can be determined to be that overhaul is not needed; if the overhaul time index beta is 2, determining that an overhaul strategy of the end sensor of the energy storage power plant is planned overhaul; if the overhaul time index beta is 1, the overhaul strategy of the end sensor of the energy storage power plant can be determined to be immediately overhauled.
In the exemplary data of the maintenance operation information and the period detection information described above, alpha can be determined 1 0.015, alpha 2 And 0 and beta is 2, so that the maintenance strategy of the end sensor of the energy storage power plant can be determined to be planned maintenance. Therefore, the technical scheme of the embodiment of the invention can combine various operation and maintenance indexes and threshold judgment to make a timely, accurate and effective overhaul strategy for the end sensor of the energy storage power plant, thereby saving labor cost.
According to the technical scheme, maintenance operation information and period detection information of the end sensor of the energy storage power plant are obtained; wherein, maintenance operation and maintenance information includes: maintenance period, last maintenance time and normal operation threshold of the end sensor of the energy storage power plant; period detection information, including: at least one detection time, and an operation detection value corresponding to each detection time; according to the maintenance operation and maintenance information and the period detection information, determining a state period operation and maintenance index, a state trend operation and maintenance index and an overhaul time index of the end sensor of the energy storage power plant; according to the state periodic operation and maintenance index, the state trend operation and maintenance index and the maintenance time index, the maintenance strategy of the energy storage power plant end sensor is determined, the maintenance control problem of the energy storage power plant end sensor is solved, and the energy storage power plant end sensor can be subjected to maintenance prompt through definite quantitative indexes and flow judgment so as to avoid missing detection or over detection; the method effectively solves the problem of experience errors existing in manual timing inspection, reduces the labor cost of operation and maintenance, and ensures safe production.
Example two
Fig. 2 is a schematic structural diagram of an end sensor maintenance device of an energy storage power plant according to a second embodiment of the present invention. As shown in fig. 2, the apparatus includes: an information acquisition module 210, an index determination module 220, and a service strategy determination module 230. Wherein:
the information acquisition module 210 is configured to acquire maintenance operation information and period detection information of an end sensor of the energy storage power plant;
wherein, maintenance operation and maintenance information includes: maintenance period, last maintenance time and normal operation threshold of the end sensor of the energy storage power plant; period detection information, including: at least one detection time, and an operation detection value corresponding to each detection time;
the index determining module 220 is configured to determine a state periodic operation and maintenance index, a state trend operation and maintenance index, and a maintenance time index of the energy storage power plant end sensor according to the maintenance operation and maintenance information and the period detection information;
the overhaul strategy determining module 230 is configured to determine an overhaul strategy of the end sensor of the energy storage power plant according to the state period operation and maintenance index, the state trend operation and maintenance index, and the overhaul time index.
Optionally, the index determination module 220 includes:
and the state period operation and maintenance index determining unit is used for determining the state period operation and maintenance index of the end sensor of the energy storage power plant according to the normal operation threshold value and each operation detection value.
Optionally, the state period operation and maintenance index determining unit is specifically configured to:
using the formulaDetermining state periodic operation and maintenance indexes of an end sensor of an energy storage power plant;
wherein alpha is 1 The operation and maintenance index is a state period; n is the total detection times corresponding to the period detection information; f (F) n The operation detection value is corresponding to the detection times n; h is the normal operating threshold.
Optionally, the index determination module 220 includes:
and the state trend operation and maintenance index determining unit is used for determining the state trend operation and maintenance index of the energy storage power plant terminal sensor according to each detection time and the operation detection value corresponding to each detection time.
Optionally, the state trend operation and maintenance index determining unit is specifically configured to:
using the formulaDetermining state trend operation and maintenance indexes of an end sensor of an energy storage power plant;
wherein alpha is 2 The operation and maintenance index is a state trend; f (F) n The operation detection value is corresponding to the detection times n; t is t n The detection time is corresponding to the detection time when the detection times are n.
Optionally, the index determination module 220 includes:
and the overhaul time index determining unit is used for determining the overhaul time index of the end sensor of the energy storage power plant according to the maintenance period, the last maintenance time and each detection time.
Optionally, the overhaul time index determining unit is specifically configured to:
using the formulaDetermining maintenance time indexes of the end sensors of the energy storage power plant;
wherein, beta is an overhaul time index; t is a maintenance period; t (T) K The maintenance time is the last time; t is t n The detection time is corresponding to the detection time when the detection times are n.
Optionally, the overhaul policy determining module 230 is specifically configured to:
if the state period operation and maintenance index is greater than or equal to a preset state deviation threshold value, determining that the overhaul strategy of the end sensor of the energy storage power plant is immediate overhaul;
if the state period operation and maintenance index is smaller than the preset state deviation threshold value and the state trend operation and maintenance index is a first preset state trend value, determining that the overhaul strategy of the end sensor of the energy storage power plant is immediate overhaul;
if the state period operation and maintenance index is smaller than the preset state deviation threshold, determining an overhaul strategy of the end sensor of the energy storage power plant according to the overhaul time index, wherein the state trend operation and maintenance index is a second preset state trend value.
The energy storage power plant end sensor maintenance device provided by the embodiment of the invention can execute the energy storage power plant end sensor maintenance method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example III
Fig. 3 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the energy storage plant end sensor overhaul method.
In some embodiments, the energy storage plant end sensor overhaul method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the stored energy power plant end sensor overhaul method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the energy storage plant end sensor overhaul method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. An energy storage power plant end sensor overhaul method is characterized by comprising the following steps:
acquiring maintenance operation information and period detection information of the end sensor of the energy storage power plant;
wherein, the maintenance operation information includes: the maintenance period, the last maintenance time and the normal operation threshold of the energy storage power plant tail end sensor; the period detection information includes: at least one detection time, and an operation detection value corresponding to each of the detection times;
according to the maintenance operation and maintenance information and the period detection information, determining a state period operation and maintenance index, a state trend operation and maintenance index and a maintenance time index of the energy storage power plant end sensor;
and determining an overhaul strategy of the energy storage power plant terminal sensor according to the state period operation and maintenance index, the state trend operation and maintenance index and the overhaul time index.
2. The method of claim 1, wherein determining a state cycle operation index for the energy storage plant end sensor based on the maintenance operation information and the cycle detection information comprises:
and determining a state period operation and maintenance index of the energy storage power plant end sensor according to the normal operation threshold value and each operation detection value.
3. The method of claim 2, wherein determining a state-cycle operation-maintenance indicator for the energy-storage plant end sensor based on the normal operation threshold and the operation detection values comprises:
using the formulaDetermining state periodic operation and maintenance indexes of the end sensors of the energy storage power plant;
wherein alpha is 1 The state period operation and maintenance index is used; n is the total detection times corresponding to the period detection information; f (F) n The operation detection value is corresponding to the detection times n; and H is the normal operation threshold value.
4. The method of claim 1, wherein determining a state trend operation index for the energy storage plant end sensor based on the maintenance operation information and the cycle detection information comprises:
and determining state trend operation and maintenance indexes of the energy storage power plant end sensor according to the detection time and the operation detection value corresponding to the detection time.
5. The method of claim 4, wherein determining a state trend operation index for the energy storage plant end sensor based on each of the detection times and an operation detection value corresponding to each of the detection times comprises:
using the formulaDetermining state trend operation and maintenance indexes of the end sensors of the energy storage power plant;
wherein alpha is 2 The state trend operation and maintenance index is used; f (F) n The operation detection value is corresponding to the detection times n; t is t n The detection time is corresponding to the detection time when the detection times are n.
6. The method of claim 1, wherein determining a service time indicator for the energy storage plant end sensor based on the service operation information and the cycle detection information comprises:
and determining maintenance time indexes of the energy storage power plant end sensor according to the maintenance period, the last maintenance time and the detection time.
7. The method of claim 6, wherein determining a service time indicator for the energy storage plant end sensor based on the service period, the last service time, and each of the detection times comprises:
using the formulaDetermining maintenance time indexes of the end sensors of the energy storage power plant;
wherein beta is the maintenance time index; t is the maintenance period; t (T) K The maintenance time is the last time; t is t n The detection time is corresponding to the detection time when the detection times are n.
8. The method of claim 1, wherein determining a service strategy for the energy storage plant end sensor based on the state cycle service index, the state trend service index, and the service time index comprises:
if the state period operation and maintenance index is greater than or equal to a preset state deviation threshold, determining that the maintenance strategy of the energy storage power plant end sensor is immediate maintenance;
if the state period operation and maintenance index is smaller than a preset state deviation threshold value and the state trend operation and maintenance index is a first preset state trend value, determining that the maintenance strategy of the energy storage power plant end sensor is immediate maintenance;
and if the state period operation and maintenance index is smaller than a preset state deviation threshold, determining an overhaul strategy of the energy storage power plant end sensor according to the overhaul time index, wherein the state trend operation and maintenance index is a second preset state trend value.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the method of any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310534502.1A CN116819416A (en) | 2023-05-11 | 2023-05-11 | Maintenance method, equipment and storage medium for end sensor of energy storage power plant |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310534502.1A CN116819416A (en) | 2023-05-11 | 2023-05-11 | Maintenance method, equipment and storage medium for end sensor of energy storage power plant |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116819416A true CN116819416A (en) | 2023-09-29 |
Family
ID=88124881
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310534502.1A Pending CN116819416A (en) | 2023-05-11 | 2023-05-11 | Maintenance method, equipment and storage medium for end sensor of energy storage power plant |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116819416A (en) |
-
2023
- 2023-05-11 CN CN202310534502.1A patent/CN116819416A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116819416A (en) | Maintenance method, equipment and storage medium for end sensor of energy storage power plant | |
| CN115375039A (en) | Industrial equipment fault prediction method and device, electronic equipment and storage medium | |
| CN115890684A (en) | Robot scheduling method, device, equipment and medium | |
| CN114186738A (en) | Fault early warning method and device, electronic equipment and storage medium | |
| CN114856932A (en) | Abnormity monitoring method, device, server and system for tower barrel in wind turbine generator | |
| CN113435718A (en) | Glass generation method and device, electronic device and storage medium | |
| CN116990744B (en) | Electric energy meter detection method, device, equipment and medium | |
| CN117131353B (en) | Method and device for determining out-of-tolerance electric energy meter, electronic equipment and storage medium | |
| CN115563015B (en) | Code heat statistics method, device, equipment and storage medium | |
| CN117232562A (en) | Fault processing method, device, equipment and medium for chain type equipment sensor | |
| CN117492822B (en) | Change contrast method, device, electronic equipment and storage medium | |
| CN117455177A (en) | Power business early warning method and device, electronic equipment and storage medium | |
| CN116644586A (en) | Construction target detection method, device, equipment and medium | |
| CN117667587A (en) | Abnormality detection method and device, electronic equipment and storage medium | |
| CN117829611A (en) | Subcontractor management risk assessment early warning method based on artificial intelligence | |
| CN115983222A (en) | EasyExcel-based file data reading method, device, equipment and medium | |
| CN116470494A (en) | Electric quantity load prediction method and device, electronic equipment and storage medium | |
| CN117194018A (en) | Processing method and device of system temperature control algorithm in multi-core and multi-chip environment | |
| CN117610927A (en) | Equipment risk assessment method, equipment risk assessment device, electronic equipment and storage medium | |
| CN117271289A (en) | Webpage monitoring method, device, equipment and storage medium | |
| CN117332801A (en) | Method and device for tracing mulch film and electronic equipment | |
| CN117436736A (en) | Automatic production counting method, device, equipment and medium in production environment | |
| CN117867743A (en) | Method, device, equipment, medium and product for determining weight of running embryo cloth | |
| CN116307159A (en) | Load prediction method and device, electronic equipment and storage medium | |
| CN117404816A (en) | Method and device for determining water quality cleanliness, water heater and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |