CN117674404A - New energy power station operation data processing and monitoring method, system, device and equipment - Google Patents
New energy power station operation data processing and monitoring method, system, device and equipment Download PDFInfo
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- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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Abstract
The invention relates to the technical field of the Internet of things of power stations, and discloses a new energy power station operation data processing and monitoring method, a system, a device and equipment.
Description
Technical Field
The invention relates to the technical field of the Internet of things of power stations, in particular to a method, a system, a device and equipment for processing and monitoring operation data of a new energy power station.
Background
The new energy power station is remote in place and distributed, and effective operation and maintenance strategies are difficult to obtain by simply relying on inspection and the self-contained sensing devices of the unit, so that the labor and financial cost are increased. The operation and maintenance system of the Internet of things can acquire various needed information such as power station monitoring data, connected and interacted equipment, operation processes and the like in real time through various information sensing equipment, and connection and intercommunication among the information are realized based on a local area network, so that the on-site operation and maintenance personnel can know, manage and make operation and maintenance decisions on the equipment information.
In the related art, operation data of each generator set in a new energy power station is generally collected through preset monitoring equipment, the monitored operation data of each generator set is sent to a superior control center, and the control center judges the operation state of each generator set based on the received operation data. However, when the scale of the energy power station is large, the quantity of the operation data collected by the monitoring equipment is quite large, the data type is complex, and if the operation data with large quantity and complex type is directly given to the control center, the processing burden of the control center is increased, the processing time is long, and the monitoring of the operation condition of the new energy power station is not facilitated.
Disclosure of Invention
In view of the above, the invention provides a method, a system, a device and equipment for processing and monitoring operation data of a new energy power station, which are used for solving the problems that the processing load of a control center is increased and the processing time is longer due to the fact that a large amount of operation data with complex types is directly fed to the control center, so that the operation condition of the new energy power station is not beneficial to monitoring.
In a first aspect, the present invention provides a method for processing operation data of a new energy power station, the new energy power station comprising a plurality of power generation units, each power generation unit being connected to a corresponding terminal monitoring device, each terminal monitoring device being connected to a control terminal, the method being applied to any one of the terminal monitoring devices, the method comprising: acquiring a plurality of types of operation data sequences of a target power generation unit in a preset period; calculating the association relation between each type of operation data sequence and other types of operation data sequences; and sending the association relation between each type of operation data sequence and other types of operation data sequences to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received association relation.
According to the new energy power station operation data processing method provided by the invention, the terminal monitoring equipment acquires a plurality of types of operation data sequences of the target power generation unit within the preset period, calculates the association relation between each type of operation data sequence and other types of operation data sequences, and sends the association relation to the control terminal, so that the control terminal can monitor the operation state of the target power generation unit based on the association relation between each type of operation data sequence and other types of operation data sequences, the problem that a large amount of operation data of different types are directly given to the control terminal, and the control terminal has heavy processing burden is solved, and the control terminal is more beneficial to monitor the operation data of the power generation unit in the new energy power station.
In an alternative embodiment, the step of calculating the association between each type of operation data sequence and other types of operation data sequences includes: and processing the plurality of types of operation data sequences by using a preset association relation algorithm, and determining association relations between each type of operation data sequence and other types of operation data sequences.
According to the method provided by the alternative embodiment, the association relation between each type of operation data sequence and other types of operation data sequences is determined through the preset association relation algorithm, so that the determined association relation is more accurate.
In an alternative embodiment, the step of processing the plurality of types of operation data sequences by using a preset association algorithm to determine an association between each type of operation data sequence and other types of operation data sequences includes: let k=1, determine a plurality of candidate k item sets and a plurality of transactions according to a plurality of types of operation data sequences, each candidate k item set corresponds to one type of operation data sequence, and each transaction is used for representing each type of operation data collected at the same time point; calculating the support degree of each candidate k item set based on a plurality of transactions; determining a plurality of frequent k item sets in the plurality of candidate k item sets based on the support degree of each candidate k item set and a preset support degree threshold; combining the multiple frequent k item sets to obtain multiple candidate k+1 item sets; let k=k+1, return to the step of calculating the support degree of each candidate k item set based on a plurality of transactions until the frequent k item set does not exist, and obtain a plurality of frequent item sets; and determining the association relation between each type of operation data sequence and other types of operation data sequences based on a plurality of frequent item sets.
In an alternative embodiment, the step of determining an association between each type of operational data sequence and other types of operational data sequences based on a plurality of frequent item sets includes: calculating a confidence level for each frequent item set based on the plurality of transactions; determining at least one target frequent item set in the plurality of frequent item sets based on the confidence level of each frequent item set and a preset confidence threshold; and determining the association relation between each type of operation data sequence and other types of operation data sequences based on the target frequent item set.
In a second aspect, the present invention provides a method for monitoring operation data of a new energy power station, where the new energy power station includes a plurality of power generation units, each power generation unit is connected to a corresponding terminal monitoring device, each terminal monitoring device is connected to a control terminal, and the method is applied to the control terminal, and includes: acquiring a target association relation of each power generation unit, wherein the target association relation is used for association relations among different types of operation data when the corresponding power generation units normally operate; acquiring the association relation of the corresponding power generation units uploaded by each terminal monitoring device; comparing the association relation of each power generation unit with the target association relation of the corresponding power generation unit to obtain a comparison result; and when the difference value between the association relation of any one of the power generation units and the target association relation is larger than a preset threshold value, determining that the corresponding power generation unit fails.
According to the new energy power station operation data monitoring method, the association relation between different types of operation data of each generator set is compared with the corresponding target association relation by the control terminal, whether the corresponding generator set fails or not is judged based on the comparison result, the control terminal does not need to process a large amount of different types of operation data, the processing load of the control terminal is effectively reduced, and the control terminal is more beneficial to monitoring the operation data of the power generation units in the new energy power station.
In an optional embodiment, when the difference between the association relationship of any one of the power generation units and the target association relationship is greater than a preset threshold, after determining that the corresponding power generation unit fails, the method further includes: determining a fault data type corresponding to the power generation unit with the fault based on the comparison result; the cause of the failure of the corresponding unit is determined based on the failure data type.
In a second aspect, the present invention provides a new energy power station operation data monitoring system, the system comprising: a plurality of terminal monitoring devices and control terminals;
each terminal monitoring device is connected with a corresponding power generation unit and is used for executing the following steps: acquiring a plurality of types of operation data sequences of a target power generation unit in a preset period; calculating the association relation between each type of operation data sequence and other types of operation data sequences; the incidence relation between each type of operation data sequence and other types of operation data sequences is sent to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received incidence relation;
the control terminal is connected with each terminal monitoring device and is used for executing the following steps: acquiring a target association relation of each power generation unit, wherein the target association relation is used for association relations among different types of operation data when the corresponding power generation units normally operate; acquiring the association relation of the corresponding power generation units uploaded by each terminal monitoring device; comparing the association relation of each power generation unit with the target association relation of the corresponding power generation unit to obtain a comparison result; and when the difference value between the association relation of any one of the power generation units and the target association relation is larger than a preset threshold value, determining that the corresponding power generation unit fails.
According to the new energy power station operation data monitoring system provided by the invention, the terminal monitoring equipment acquires a plurality of types of operation data sequences of the target power generation unit within the preset period, calculates the association relation between each type of operation data sequence and other types of operation data sequences, and sends the association relation to the control terminal, and the control terminal judges whether the corresponding power generation unit fails or not based on the comparison result by comparing the association relation between the different types of operation data of each power generation unit with the corresponding target association relation, so that the control terminal does not need to process a large amount of operation data of different types, the processing load of the control terminal is effectively reduced, and the control terminal is more beneficial to monitoring the operation data of the power generation unit in the new energy power station.
In a third aspect, the present invention provides a new energy power station operation data processing apparatus, the new energy power station comprising a plurality of power generation units, each power generation unit being connected to a corresponding terminal monitoring device, each terminal monitoring device being connected to a control terminal, the apparatus comprising: the first acquisition module is used for acquiring a plurality of types of operation data sequences of the target power generation unit in a preset period; the calculation module is used for calculating the association relation between each type of operation data sequence and other types of operation data sequences; and the sending module is used for sending the association relation between each type of operation data sequence and other types of operation data sequences to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received association relation.
In an alternative embodiment, the computing module includes: and the processing sub-module is used for processing the plurality of types of operation data sequences by utilizing a preset association relation algorithm and determining the association relation between each type of operation data sequence and other types of operation data sequences.
In an alternative embodiment, the processing submodule includes: the first determining unit is used for enabling k=1, determining a plurality of candidate k item sets and a plurality of transactions according to a plurality of types of operation data sequences, wherein each candidate k item set corresponds to one type of operation data sequence, and each transaction is used for representing each type of operation data acquired at the same time point; a first calculation unit configured to calculate a support degree of each candidate k-term set based on a plurality of transactions; a second determining unit, configured to determine a plurality of frequent k item sets among the plurality of candidate k item sets based on the support degree of each candidate k item set and a preset support degree threshold; the combination unit is used for combining a plurality of frequent k item sets to obtain a plurality of candidate k+1 item sets; the second calculation unit is used for enabling k=k+1, returning to the step of calculating the support degree of each candidate k item set based on a plurality of transactions until the frequent k item set does not exist, and obtaining a plurality of frequent item sets; and the third determining unit is used for determining the association relation between each type of operation data sequence and other types of operation data sequences based on the plurality of frequent item sets.
In an alternative embodiment, the processing sub-module further comprises: a third calculation unit for calculating a confidence level of each frequent item set based on the plurality of transactions; a fourth determining unit, configured to determine at least one target frequent item set from the plurality of frequent item sets based on the confidence level of each frequent item set and a preset confidence threshold; and a fifth determining unit, configured to determine an association relationship between each type of operation data sequence and other types of operation data sequences based on the target frequent item set.
In a fourth aspect, the present invention provides a new energy power station operation data monitoring apparatus, the new energy power station comprising a plurality of power generation units, each power generation unit being connected to a corresponding terminal monitoring device, each terminal monitoring device being connected to a control terminal, the apparatus comprising: the second acquisition module is used for acquiring a target association relation of each power generation unit, wherein the target association relation is used for association relations among different types of operation data when the corresponding power generation units normally operate; the third acquisition module is used for acquiring the association relation of the corresponding power generation units uploaded by the terminal monitoring equipment; the comparison module is used for comparing the association relation of each power generation unit with the target association relation of the corresponding power generation unit to obtain a comparison result; and the first determining module is used for determining that the corresponding power generation unit fails when the difference value between the association relation of any power generation unit and the target association relation is larger than a preset threshold value.
In an alternative embodiment, the apparatus further comprises: the second determining module is used for determining the fault data type corresponding to the power generation unit with the fault based on the comparison result; and the third determining module is used for determining the fault reason of the corresponding unit based on the fault data type.
In a fifth aspect, the present invention provides a computer device comprising: the device comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions so as to execute the new energy power station operation data processing method according to the first aspect or any corresponding embodiment.
In a fourth aspect, the present invention provides a computer readable storage medium, on which computer instructions are stored, the computer instructions being configured to cause a computer to perform the new energy power station operation data monitoring method according to the first aspect or any one of the embodiments corresponding thereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a new energy power station operation data processing method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for processing operation data of a new energy power station according to an embodiment of the invention;
FIG. 3 is a flow chart of a new energy power station operation data monitoring method according to an embodiment of the present invention;
FIG. 4 is a block diagram of a new energy power station operational data monitoring system according to an embodiment of the present invention;
FIG. 5 is a block diagram of a new energy power station operation data processing apparatus according to an embodiment of the present invention;
FIG. 6 is a block diagram of a new energy power station operation data processing apparatus according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the related art, operation data of each generator set in a new energy power station is generally collected through preset monitoring equipment, the monitored operation data of each generator set is sent to a superior control center, and the control center judges the operation state of each generator set based on the received operation data. However, when the scale of the energy power station is large, the quantity of the operation data collected by the monitoring equipment is quite large, the data type is complex, and if the operation data with large quantity and complex type is directly given to the control center, the processing burden of the control center is increased, the processing time is long, and the monitoring of the operation condition of the new energy power station is not facilitated.
According to the new energy power station operation data processing method provided by the invention, the terminal monitoring equipment acquires a plurality of types of operation data sequences of the target power generation unit within the preset period, calculates the association relation between each type of operation data sequence and other types of operation data sequences, and sends the association relation to the control terminal, so that the control terminal can monitor the operation state of the target power generation unit based on the association relation between each type of operation data sequence and other types of operation data sequences, the problem that a large amount of operation data of different types are directly given to the control terminal, and the control terminal has heavy processing burden is solved, and the control terminal is more beneficial to monitor the operation data of the power generation unit in the new energy power station.
According to an embodiment of the present invention, there is provided an embodiment of a method of processing data for operation of a new energy power station, it being noted that the steps shown in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical sequence is shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than what is shown or described herein.
In this embodiment, a new energy power station operation data processing method is provided, where the new energy power station includes a plurality of power generating units, each power generating unit is connected to a corresponding terminal monitoring device, each terminal monitoring device is connected to a control terminal, the method is applied to any one of the terminal monitoring devices, fig. 1 is a flowchart of the new energy power station operation data processing method according to an embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
step S101, acquiring a plurality of types of operation data sequences of the target power generation unit in a preset period.
The target power generation unit may be any one of the power generation units in the new energy power station; the preset time period can be a time period in which the operation data of the new energy power station is required to be processed; the terminal equipment monitoring device monitors the operation state of the target power generation unit to obtain a plurality of operation data sequences, and in the embodiment of the application, the types of the operation data can include, but are not limited to, generated energy W (kW), voltage U (kV), current I (A), temperature T (DEG C), stress S (Pa), oil pressure P (Bar), rotating speed R (rad/S), frequency F (Hz) and the like, and the data monitored by the grid-connected system and the power transmission device include generated energy, voltage, current, frequency and the like.
Step S102, calculating the association relation between each type of operation data sequence and other types of operation data sequences.
In the embodiment of the present application, the correlation between each type of operation data sequence and other types of operation data sequences may be determined by analyzing the correlation between different types of operation sequence data, and the embodiment of the present application does not limit the specific content of the correlation analysis, and one skilled in the art may determine the correlation according to the requirements.
Step S103, the association relation between each type of operation data sequence and other types of operation data sequences is sent to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received association relation.
The terminal monitoring device sends the association relation between each type of operation data sequence and other types of operation data sequences to the control terminal, so that the control terminal can analyze the operation state of the target power generation unit based on the received association relation.
According to the new energy power station operation data processing method, the terminal monitoring equipment acquires a plurality of types of operation data sequences of the target power generation unit within the preset period, calculates the association relation between each type of operation data sequence and other types of operation data sequences, and sends the association relation to the control terminal, so that the control terminal can monitor the operation state of the target power generation unit based on the association relation between each type of operation data sequence and other types of operation data sequences, the problem that a large amount of operation data of different types are directly given to the control terminal, and the control terminal is heavy in processing burden is solved, and the control terminal is more beneficial to monitor the operation data of the power generation unit in the new energy power station.
In this embodiment, a new energy power station operation data processing method is provided, where the new energy power station includes a plurality of power generating units, each power generating unit is connected to a corresponding terminal monitoring device, each terminal monitoring device is connected to a control terminal, the method is applied to any one of the terminal monitoring devices, fig. 2 is a flowchart of the new energy power station operation data processing method according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
step S201, acquiring a plurality of types of operation data sequences of the target power generation unit in a preset period. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S202, calculating the association relation between each type of operation data sequence and other types of operation data sequences.
Specifically, the step S202 includes:
in step S2021, a preset association algorithm is used to process the multiple types of operation data sequences, so as to determine the association between each type of operation data sequence and other types of operation data sequences.
For example, in the embodiment of the present application, the preset association relation algorithm may be an Apriori algorithm, which is a commonly used data association rule mining method, and may be used to find a data set that frequently occurs in a data set. The Apriori algorithm can accurately analyze the association relation between each type of operation data sequence and other types of operation data sequences
In some alternative embodiments, step S2021 described above comprises:
step a1, let k=1, determine a plurality of candidate k item sets and a plurality of transactions according to a plurality of types of operation data sequences, each candidate k item set corresponds to one type of operation data sequence, and each transaction is used for representing each type of operation data collected at the same time point. Illustratively, in the embodiment of the present application, a corresponding candidate 1 item set is determined according to a type of operation data sequence, so as to obtain a plurality of candidate 1 item sets.
And a step a2, calculating the support degree of each candidate k item set based on a plurality of transactions. Illustratively, in the embodiment of the present application, the support degree of each candidate k item set may be calculated by the number of times each item appears in the plurality of transactions. Specifically, the support degree is calculated by the following formula (1):
wherein X and Y are respectively called the leading and following of the association rule, and the support degree (X-Y) can be understood as the probability of occurrence of a certain item.
And a step a3, determining a plurality of frequent k item sets in the plurality of candidate k item sets based on the support degree of each candidate k item set and a preset support degree threshold value. For example, the embodiment of the application does not limit the specific content of the preset support threshold, and a person skilled in the art can determine that the support is greater than the preset support threshold as the frequent k item set according to the requirement.
And a4, combining the multiple frequent k item sets to obtain multiple candidate k+1 item sets.
Step a5, let k=k+1, return to the step of calculating the support degree of each candidate k item set based on a plurality of transactions until the frequent k item set does not exist, and obtain a plurality of frequent item sets. Illustratively, when the frequent k-term set can no longer be screened out, all the determined frequent k-term sets in between are taken as a plurality of frequent k-term sets.
And a step a6, determining the association relation between each type of operation data sequence and other types of operation data sequences based on a plurality of frequent item sets. Illustratively, the association between different types of operational data sequences is analyzed based on a set of frequent items.
In some optional embodiments, step a6 above further comprises:
step b1, calculating the confidence of each frequent item set based on a plurality of transactions.
And b2, determining at least one target frequent item set in the plurality of frequent item sets based on the confidence degree of each frequent item set and a preset confidence threshold value. For example, the embodiment of the application does not limit the specific content of the preset confidence threshold, and a person skilled in the art can determine according to requirements, specifically, take a frequent k item set with a support degree greater than the preset confidence threshold as a target frequent k item set. Specifically, the confidence is calculated by the following formula (2):
And b3, determining the association relation between each type of operation data sequence and other types of operation data sequences based on the target frequent item set.
Step S203, the association relationship between each type of operation data sequence and other types of operation data sequences is sent to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received association relationship. Please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
In this embodiment, a new energy power station operation data monitoring method is provided, where the new energy power station includes a plurality of power generating units, each power generating unit is connected to a corresponding terminal monitoring device, each terminal monitoring device is connected to a control terminal, the method is applied to the control terminal, fig. 3 is a flowchart of the new energy power station operation data monitoring method according to an embodiment of the present invention, and as shown in fig. 3, the flowchart includes the following steps:
step S301, obtaining a target association relationship of each power generation unit, where the target association relationship is used for association relationships between different types of operation data when the corresponding power generation unit is in normal operation.
The target association is obtained by processing different types of operation data of the generator set in normal operation.
Step S302, obtaining the association relation of the corresponding power generation units uploaded by the terminal monitoring devices.
Step S303, comparing the association relation of each power generation unit with the target association relation of the corresponding power generation unit to obtain a comparison result. The association relationship of each power generation unit is compared with the target association relationship of the corresponding power generation unit, and whether the association relationship and the target association relationship have differences is judged, so that a judging result is obtained.
Step S304, when the difference value between the association relation of any one of the power generation units and the target association relation is larger than a preset threshold value, determining that the corresponding power generation unit fails. Exemplary, the embodiment of the present application does not limit the specific content of the preset threshold, and those skilled in the art may determine the specific content according to the needs.
In some optional embodiments, step S304 further includes:
and c1, determining the type of fault data corresponding to the power generation unit with the fault based on the comparison result.
Illustratively, the type of data that fails in the different types of operational data is determined based on the comparison.
And c2, determining the fault reason of the corresponding unit based on the fault data type.
According to the new energy power station operation data monitoring method, the terminal monitoring equipment acquires a plurality of types of operation data sequences of the target power generation unit within the preset period, calculates the association relation between each type of operation data sequence and other types of operation data sequences, and sends the association relation to the control terminal, so that the control terminal can monitor the operation state of the target power generation unit based on the association relation between each type of operation data sequence and other types of operation data sequences, the problem that a large amount of operation data of different types are directly given to the control terminal, and the control terminal is heavy in processing burden is solved, and the control terminal is more beneficial to monitor the operation data of the power generation unit in the new energy power station.
In this embodiment, a new energy power station operation data monitoring system is provided, and fig. 4 is a schematic block diagram of the new energy power station operation data monitoring system according to an embodiment of the present invention, as shown in fig. 4, the system includes:
a plurality of terminal monitoring devices 401 and a control terminal 402;
each terminal monitoring device is connected with a corresponding power generation unit and is used for executing the following steps: acquiring a plurality of types of operation data sequences of a target power generation unit in a preset period; calculating the association relation between each type of operation data sequence and other types of operation data sequences; and sending the association relation between each type of operation data sequence and other types of operation data sequences to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received association relation. Exemplary, specific reference is made to the description of relevant parts in the above embodiments, and details are not repeated here.
The control terminal is connected with each terminal monitoring device and is used for executing the following steps: acquiring a target association relation of each power generation unit, wherein the target association relation is used for association relations among different types of operation data when the corresponding power generation units normally operate; acquiring the association relation of the corresponding power generation units uploaded by each terminal monitoring device; comparing the association relation of each power generation unit with the target association relation of the corresponding power generation unit to obtain a comparison result; and when the difference value between the association relation of any one of the power generation units and the target association relation is larger than a preset threshold value, determining that the corresponding power generation unit fails. Exemplary, specific reference is made to the description of relevant parts in the above embodiments, and details are not repeated here.
In this embodiment, a new energy power station operation data processing device is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and is not described herein again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment provides a new energy power station operation data processing device, and the new energy power station includes a plurality of power generation units, and every power generation unit is connected with corresponding terminal monitoring equipment, and each terminal monitoring equipment is connected with control terminal, as shown in fig. 5, includes:
a first obtaining module 501, configured to obtain a plurality of types of operation data sequences of a target power generation unit in a preset period;
the calculating module 502 is configured to calculate an association relationship between each type of operation data sequence and other types of operation data sequences;
and the sending module 503 is configured to send the association relationship between each type of operation data sequence and other types of operation data sequences to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received association relationship.
In some alternative embodiments, the computing module 502 includes:
and the processing sub-module is used for processing the plurality of types of operation data sequences by utilizing a preset association relation algorithm and determining the association relation between each type of operation data sequence and other types of operation data sequences.
In some alternative embodiments, the processing submodule includes:
the first determining unit is used for enabling k=1, determining a plurality of candidate k item sets and a plurality of transactions according to a plurality of types of operation data sequences, wherein each candidate k item set corresponds to one type of operation data sequence, and each transaction is used for representing each type of operation data acquired at the same time point;
a first calculation unit configured to calculate a support degree of each candidate k-term set based on a plurality of transactions;
a second determining unit, configured to determine a plurality of frequent k item sets among the plurality of candidate k item sets based on the support degree of each candidate k item set and a preset support degree threshold;
the combination unit is used for combining a plurality of frequent k item sets to obtain a plurality of candidate k+1 item sets;
the second calculation unit is used for enabling k=k+1, returning to the step of calculating the support degree of each candidate k item set based on a plurality of transactions until the frequent k item set does not exist, and obtaining a plurality of frequent item sets;
And the third determining unit is used for determining the association relation between each type of operation data sequence and other types of operation data sequences based on the plurality of frequent item sets.
In some alternative embodiments, the processing sub-module further comprises:
a third calculation unit for calculating a confidence level of each frequent item set based on the plurality of transactions;
a fourth determining unit, configured to determine at least one target frequent item set from the plurality of frequent item sets based on the confidence level of each frequent item set and a preset confidence threshold;
and a fifth determining unit, configured to determine an association relationship between each type of operation data sequence and other types of operation data sequences based on the target frequent item set.
The embodiment provides a new energy power station operation data monitoring device, and the new energy power station includes a plurality of power generation units, and every power generation unit is connected with corresponding terminal monitoring equipment, and each terminal monitoring equipment is connected with control terminal, as shown in fig. 6, includes:
the second obtaining module 601 is configured to obtain a target association relationship of each power generation unit, where the target association relationship is used for association relationships between different types of operation data when the corresponding power generation unit is in normal operation;
A third obtaining module 602, configured to obtain an association relationship of the corresponding power generation units uploaded by each terminal monitoring device;
the comparison module 603 is configured to compare the association relationship of each power generation unit with the target association relationship of the corresponding power generation unit to obtain a comparison result;
the first determining module 604 is configured to determine that the corresponding power generation unit fails when a difference between the association relationship of any one of the power generation units and the target association relationship is greater than a preset threshold.
In some alternative embodiments, the apparatus further comprises: the second determining module is used for determining the fault data type corresponding to the power generation unit with the fault based on the comparison result; and the third determining module is used for determining the fault reason of the corresponding unit based on the fault data type.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
The new energy plant operation data processing device and the new energy plant operation data monitoring device in this embodiment are presented in the form of functional units, where the units refer to ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the above functions.
The embodiment of the invention also provides a computer device which is provided with the new energy power station operation data processing device shown in the figure 5 or the new energy power station operation data monitoring device shown in the figure 6.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 7, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 7.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform the methods shown in implementing the above embodiments.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (15)
1. A new energy power station operation data processing method, characterized in that the new energy power station comprises a plurality of power generation units, each power generation unit is connected with a corresponding terminal monitoring device, each terminal monitoring device is connected with a control terminal, the method is applied to any terminal monitoring device, the method comprises:
acquiring a plurality of types of operation data sequences of a target power generation unit in a preset period;
calculating the association relation between each type of operation data sequence and other types of operation data sequences;
and sending the association relation between the operation data sequences of each type and the operation data sequences of other types to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received association relation.
2. The method of claim 1, wherein the step of calculating an association between each type of sequence of operational data and other types of sequences of operational data comprises:
And processing the plurality of types of operation data sequences by using a preset association relation algorithm, and determining association relations between each type of operation data sequence and other types of operation data sequences.
3. The method according to claim 2, wherein the step of processing the plurality of types of operation data sequences by using a preset association algorithm to determine an association between each type of operation data sequence and other types of operation data sequences includes:
let k=1, determining a plurality of candidate k item sets and a plurality of transactions according to the plurality of types of operation data sequences, wherein each candidate k item set corresponds to one type of operation data sequence, and each transaction is used for representing each type of operation data collected at the same time point;
calculating the support degree of each candidate k item set based on the plurality of transactions;
determining a plurality of frequent k item sets in the plurality of candidate k item sets based on the support degree of each candidate k item set and a preset support degree threshold;
combining the multiple frequent k item sets to obtain multiple candidate k+1 item sets;
let k=k+1, return to the step of calculating the support degree of each candidate k item set based on the plurality of transactions until the frequent k item set does not exist, and obtain a plurality of frequent item sets;
And determining the association relation between each type of operation data sequence and other types of operation data sequences based on a plurality of frequent item sets.
4. A method according to claim 3, wherein the step of determining an association between each type of sequence of operational data and other types of sequences of operational data based on a plurality of frequent item sets comprises:
calculating a confidence level for each frequent item set based on the plurality of transactions;
determining at least one target frequent item set in the plurality of frequent item sets based on the confidence level of each frequent item set and a preset confidence threshold;
and determining the association relation between each type of operation data sequence and other types of operation data sequences based on the target frequent item set.
5. A new energy power station operation data monitoring method, characterized in that the new energy power station comprises a plurality of power generation units, each power generation unit is connected with a corresponding terminal monitoring device, each terminal monitoring device is connected with a control terminal, the method is applied to the control terminal, and the method comprises:
acquiring a target association relation of each power generation unit, wherein the target association relation is used for association relations among different types of operation data when the corresponding power generation unit operates normally;
Acquiring the association relation of the corresponding power generation units uploaded by each terminal monitoring device;
comparing the association relation of each power generation unit with the target association relation of the corresponding power generation unit to obtain a comparison result;
and when the difference value between the association relation of any one of the power generation units and the target association relation is larger than a preset threshold value, determining that the corresponding power generation unit fails.
6. The method according to claim 5, wherein when the difference between the association relationship of any one of the power generation units and the target association relationship is greater than a preset threshold, after determining that the corresponding power generation unit fails, the method further comprises:
determining a fault data type corresponding to the power generation unit with the fault based on the comparison result;
and determining the fault reason of the corresponding unit based on the fault data type.
7. A new energy power station operation data monitoring system, the system comprising:
a plurality of terminal monitoring devices and control terminals;
each terminal monitoring device is connected with a corresponding power generation unit and is used for executing the following steps:
acquiring a plurality of types of operation data sequences of a target power generation unit in a preset period;
calculating the association relation between each type of operation data sequence and other types of operation data sequences;
The incidence relation between the operation data sequences of each type and the operation data sequences of other types is sent to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received incidence relation;
the control terminal is connected with each terminal monitoring device and is used for executing the following steps:
acquiring a target association relation of each power generation unit, wherein the target association relation is used for association relations among different types of operation data when the corresponding power generation unit operates normally;
acquiring the association relation of the corresponding power generation units uploaded by each terminal monitoring device;
comparing the association relation of each power generation unit with the target association relation of the corresponding power generation unit to obtain a comparison result;
and when the difference value between the association relation of any one of the power generation units and the target association relation is larger than a preset threshold value, determining that the corresponding power generation unit fails.
8. A new energy power station operation data processing apparatus, characterized in that the new energy power station comprises a plurality of power generation units, each power generation unit is connected with a corresponding terminal monitoring device, each terminal monitoring device is connected with a control terminal, the apparatus comprises:
The first acquisition module is used for acquiring a plurality of types of operation data sequences of the target power generation unit in a preset period;
the calculation module is used for calculating the association relation between each type of operation data sequence and other types of operation data sequences;
and the sending module is used for sending the association relation between the operation data sequences of all types and the operation data sequences of other types to the control terminal, so that the control terminal monitors the operation state of the target power generation unit based on the received association relation.
9. The apparatus of claim 8, wherein the computing module comprises:
and the processing sub-module is used for processing the plurality of types of operation data sequences by utilizing a preset association relation algorithm and determining the association relation between each type of operation data sequence and other types of operation data sequences.
10. The apparatus of claim 9, wherein the processing sub-module comprises:
the first determining unit is used for enabling k=1, determining a plurality of candidate k item sets and a plurality of transactions according to the plurality of types of operation data sequences, wherein each candidate k item set corresponds to one type of operation data sequence, and each transaction is used for representing each type of operation data acquired at the same time point;
A first calculation unit configured to calculate a support degree of each candidate k-term set based on the plurality of transactions;
a second determining unit, configured to determine a plurality of frequent k item sets among the plurality of candidate k item sets based on the support degree of each candidate k item set and a preset support degree threshold;
the combination unit is used for combining a plurality of frequent k item sets to obtain a plurality of candidate k+1 item sets;
the second calculation unit is used for enabling k=k+1, and returning to the step of calculating the support degree of each candidate k item set based on the plurality of transactions until the frequent k item sets do not exist, so as to obtain a plurality of frequent item sets;
and the third determining unit is used for determining the association relation between each type of operation data sequence and other types of operation data sequences based on the plurality of frequent item sets.
11. The apparatus of claim 10, wherein the processing sub-module further comprises:
a third calculation unit configured to calculate a confidence level of each frequent item set based on the plurality of transactions;
a fourth determining unit, configured to determine at least one target frequent item set from the plurality of frequent item sets based on the confidence level of each frequent item set and a preset confidence threshold;
and a fifth determining unit, configured to determine an association relationship between each type of operation data sequence and other types of operation data sequences based on the target frequent item set.
12. The utility model provides a new energy power station operation data monitoring devices, its characterized in that, new energy power station contains a plurality of power generation units, and every power generation unit is connected with corresponding terminal monitoring equipment, and each terminal monitoring equipment is connected with control terminal, and the device includes:
the second acquisition module is used for acquiring a target association relation of each power generation unit, wherein the target association relation is used for association relations between different types of operation data when the corresponding power generation unit normally operates;
the third acquisition module is used for acquiring the association relation of the corresponding power generation units uploaded by the terminal monitoring equipment;
the comparison module is used for comparing the association relation of each power generation unit with the target association relation of the corresponding power generation unit to obtain a comparison result;
and the first determining module is used for determining that the corresponding power generation unit fails when the difference value between the association relation of any power generation unit and the target association relation is larger than a preset threshold value.
13. The apparatus of claim 12, wherein the apparatus further comprises:
the second determining module is used for determining the fault data type corresponding to the power generation unit with the fault based on the comparison result;
And the third determining module is used for determining the fault reason of the corresponding unit based on the fault data type.
14. A computer device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of processing the operating data of the new energy power station of any one of claims 1 to 4 or to perform the method of monitoring the operating data of the new energy power station of claim 5 or 6.
15. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon computer instructions for causing a computer to execute the new energy power station operation data processing method according to any one of claims 1 to 4 or to execute the new energy power station operation data monitoring method according to claim 5 or 6.
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