CN112697946A - Main transformer on-line oil chromatography monitoring method and device - Google Patents
Main transformer on-line oil chromatography monitoring method and device Download PDFInfo
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- CN112697946A CN112697946A CN202110304580.3A CN202110304580A CN112697946A CN 112697946 A CN112697946 A CN 112697946A CN 202110304580 A CN202110304580 A CN 202110304580A CN 112697946 A CN112697946 A CN 112697946A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
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- G01N30/8651—Recording, data aquisition, archiving and storage
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Abstract
The application discloses a main transformer online oil chromatography monitoring method and a main transformer online oil chromatography monitoring device, wherein the method comprises the following steps: logging in a monitoring command system of a power grid through an RPA robot, and initializing a monitoring disc variable of oil chromatography monitoring; firstly, identifying equipment with abnormality of a generating device and recording; then, capturing the current numerical values of various kinds of dissolved characteristic gases of the abnormal main transformer oil chromatographic device by using a web crawler; then judging a main oil chromatography device with data abnormity according to the current numerical values of various dissolved characteristic gases and recording the main oil chromatography device; finally, capturing various historical values of the gas with the dissolution characteristics to calculate the gas production rate, and judging whether the online monitoring data of the main transformer oil chromatographic device is abnormal or not; therefore, the technical problems that in the prior art, data check is mainly carried out on a chromatographic monitoring data account in an artificial monitoring disc mode, the workload of a main transformer oil chromatographic monitoring disc is large, and misjudgment is easy to occur are solved.
Description
Technical Field
The application relates to the technical field of electric power, in particular to a main transformer online oil chromatography monitoring method and device.
Background
The main transformer, called a main transformer (GSU) for short, is a main step-down transformer mainly used for power transmission and transformation in a unit or a transformer substation, and is also a core part of the transformer substation, so that accurately monitoring the operation state of the main transformer is one of the main guarantees of safe operation of a power grid.
In most cases, the operation state of the main transformer oil is monitored mainly through an online monitoring device for the dissolved gas in the main transformer oil, the online monitoring device for the dissolved gas in the main transformer oil is additionally arranged on a transformer in a large number, and the content of components of the dissolved gas in the transformer oil is periodically and automatically monitored, so that the monitoring values of characteristic gas quantities (namely hydrogen (H2), methane (CH 4), ethane (C2H 6), ethylene (C2H 4), acetylene (C2H 2), carbon monoxide (CO), carbon dioxide (CO 2) and total hydrocarbons) in the oil are transmitted to a company production monitoring center for a contact person to carry out equipment monitoring, and the operation condition of the main transformer can be conveniently mastered in real time. With the rapid and large-scale installation of the oil chromatogram on-line monitoring device, the chromatogram monitoring data gradually presents the large data characteristics of mass, complex data items and the like, and the higher requirement is provided for the data processing efficiency of the main chromatogram monitoring disc.
At present, the chromatographic monitoring data ledger is mainly subjected to data check in a manual monitoring mode, and the characteristic gas quantity is repeatedly subjected to data calculation and analysis one by one, so that the abnormal chromatographic monitoring data is obtained. However, the chromatographic monitoring data is various and complicated in work flow, manual operation cannot ensure that the practice of each monitoring plate personnel completely meets the regulation requirements, and possible misjudgment of the manual operation cannot be avoided, so that the workload of the main transformer oil chromatographic monitoring plate is large, and misjudgment is easy to occur.
Disclosure of Invention
The embodiment of the application provides a main transformer on-line oil chromatography monitoring disc method and device, which are used for solving the technical problems that the workload of a main transformer oil chromatography monitoring disc is large and misjudgment is easy to occur due to the fact that data check is mainly carried out on a chromatography monitoring data account in an artificial monitoring disc mode in the prior art.
In view of the above, a first aspect of the present application provides an online oil chromatography monitoring method for a main transformer, where the method includes:
s1, logging in a monitoring command system through the RPA robot, and loading a main transformer oil chromatography monitoring interface of the monitoring command system;
s2, for first equipment with a main transformer oil chromatography device in an online state, capturing the current numerical values of various dissolved characteristic gases in each first equipment through a web crawler;
s3, judging whether the current values of various dissolved characteristic gases in the first equipment exceed preset attention values and alarm values, if so, storing the equipment information of the first equipment into a data packet of 'data abnormity', otherwise, executing the step S4;
s4, capturing historical numerical values of various dissolved characteristic gases of the first equipment through a web crawler, calculating a gas production rate according to the current numerical value and the historical numerical values, and storing the equipment information of the first equipment to the data packet with abnormal data when the gas production rate exceeds a preset gas production threshold value.
Optionally, step S1 is followed by:
for second equipment of which the main transformer oil chromatography device is in an off-line state, capturing operation state data of each piece of second equipment through a web crawler;
and analyzing the running state of the second equipment according to the running state data, and storing the abnormal equipment information of the second equipment into a data packet of 'device abnormality'.
Optionally, the analyzing the operating state of the second device according to the operating state data, and storing the abnormal device information of the second device in a data packet of "device abnormal", specifically includes:
when all the components of the running state data are 0, storing the equipment information of the second equipment to the data packet of the 'device abnormity';
when the monitoring date of the running state data is not updated after the preset time and is displayed as an online state, storing the equipment information of the second equipment into the data packet of the 'device abnormity';
and when any one of the various dissolved characteristic gases of the second equipment is not updated after the preset time is exceeded and is displayed in an online state, storing the equipment information of the second equipment into the data packet of the abnormal device.
Optionally, the logging in the monitoring command system through the RPA robot further includes:
and setting the execution duration of the RPA robot, and the information of the feedback contact persons of the data packet with the abnormal data and the data packet with the abnormal device.
Optionally, after step S4, the method further includes:
and when the RPA robot exceeds the execution duration, sending the data packet with abnormal data and the data packet with abnormal device to the feedback contact person.
Optionally, the calculating a gas production rate according to the current value and the historical value specifically includes:
and dividing the difference value between the current numerical value and the historical numerical value by the historical numerical value to obtain the gas production rate.
Optionally, the capturing, by a web crawler, historical values of various types of dissolved characteristic gases of the first device, and then further comprising:
and when the historical numerical value is missing, selecting the effective numerical value which is closest to the current numerical value in terms of time as the historical numerical value.
This application second aspect provides a main transformer on-line oil chromatography supervisory control dish device, the device includes:
the system comprises an initialization module, a monitoring command system and a main transformer oil chromatography monitoring interface, wherein the initialization module is used for logging in the monitoring command system through an RPA robot and loading the main transformer oil chromatography monitoring interface of the monitoring command system;
the data capturing module is used for capturing the current numerical values of various dissolved characteristic gases in each first device through a web crawler for the first devices with the main transformer oil chromatography devices in an online state;
the first analysis module is used for judging whether the current numerical value of various dissolved characteristic gases in the first equipment exceeds a preset attention value and an alarm value, if so, storing the equipment information of the first equipment to a data packet with abnormal data, and otherwise, triggering the second analysis module;
and the second analysis module is used for capturing historical numerical values of various dissolved characteristic gases of the first equipment through a web crawler, calculating a gas production rate according to the current numerical value and the historical numerical values, and storing the equipment information of the first equipment to the data packet with abnormal data when the gas production rate exceeds a preset gas production threshold value.
Optionally, the system further comprises a third analysis module;
the third analysis module is used for capturing the running state data of each second device by a web crawler for the second devices with the main transformer oil chromatography device in an off-line state; and analyzing the running state of the second equipment according to the running state data, and storing the abnormal equipment information of the second equipment into a data packet of 'device abnormality'.
Optionally, the method further comprises a sending module;
and the sending module is used for sending the data packet with abnormal data and the data packet with abnormal device to a preset feedback contact person when the RPA robot exceeds a preset execution time.
According to the technical scheme, the embodiment of the application has the following advantages:
in an embodiment of the present application, an online oil chromatography monitoring method for a main transformer is provided, including: s1, logging in a monitoring command system through the RPA robot, and loading a main transformer oil chromatography monitoring interface of the monitoring command system; s2, capturing the current numerical values of various dissolved characteristic gases in each first device through a web crawler for the first devices with the main transformer oil chromatography device in an online state; s3, judging whether the current values of various dissolved characteristic gases in the first equipment exceed preset attention values and alarm values, if so, storing the equipment information of the first equipment into a data packet with abnormal data, otherwise, executing the step S4; s4, capturing historical numerical values of various dissolved characteristic gases of the first equipment through the web crawler, calculating the gas production rate according to the current numerical value and the historical numerical values, and storing the equipment information of the first equipment into a data packet with abnormal data when the gas production rate exceeds a preset gas production threshold value.
According to the main transformer on-line oil chromatography monitoring method, an RPA robot logs in a monitoring command system of a power grid, and a monitoring variable of oil chromatography monitoring is initialized; then, the network crawler is utilized to grab the current numerical values of various dissolved characteristic gases of the main transformer oil chromatographic device, so that the workload of manual monitoring is greatly reduced; then judging and storing a main transformer oil chromatographic device with data abnormality according to the current numerical values of various dissolved characteristic gases; in addition to judging the occurrence of data abnormality through various dissolved characteristic gas values, historical values of various dissolved characteristic gases are captured by a web crawler to calculate gas production rate, and whether the online monitoring data of the main transformer oil chromatographic device is abnormal or not is judged; therefore, the technical problems that in the prior art, data check is mainly carried out on a chromatographic monitoring data account in an artificial monitoring disc mode, the workload of a main transformer oil chromatographic monitoring disc is large, and misjudgment is easy to occur are solved.
Drawings
Fig. 1 is a schematic flow chart of a main transformer online oil chromatography monitoring method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a second embodiment of an online oil chromatography monitoring method for a main transformer provided in an embodiment of the present application;
fig. 3 is a structural diagram of an embodiment of an online oil chromatography monitoring disc device of a main transformer provided in an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart of a main transformer online oil chromatography monitoring method according to an embodiment of the present application.
Definition of the supervision disk: the real-time data of the on-line monitoring device for monitoring the power equipment is obtained through the on-line system, for example, key state quantities (H2, C2H2, total hydrocarbons, CO) of characteristic gases in the transformer oil are obtained through the oil chromatography on-line monitoring device, data monitoring is carried out by manually logging in a monitoring command system, and main transformer state diagnosis and analysis are carried out according to regulations.
The main transformer online oil chromatography monitoring method provided by the embodiment comprises the following steps:
It should be noted that the Robot Process Automation (RPA) system is an application that provides another way to automate an end user's manual process by mimicking the end user's manual process at a computer. According to the embodiment, the RPA robot logs in the monitoring command system of the power grid system, and the command item monitoring window is opened, so that a main transformer oil chromatography monitoring interface of the monitoring command system is loaded, manual operation is not needed, all-weather intelligent monitoring can be realized, and reliable and safe operation of a main transformer of the power grid is guaranteed to the greatest extent.
And 102, capturing the current numerical values of various dissolved characteristic gases in each first device through a web crawler for the first devices with the main transformer oil chromatography devices in an online state.
It should be noted that a web crawler (also called web spider, web robot, in the middle of FOAF communities, more often called web chasers) is a program or script that automatically captures web information according to certain rules. Other less commonly used names are ants, automatic indexing, simulation programs, or worms. This embodiment is through the main oily chromatographic device of becoming of online state at main oily chromatographic monitoring interface of becoming through the network reptile current numerical value of snatching its all kinds of dissolution characteristic gas, and all kinds of dissolution characteristic gas include: hydrogen (H2), methane (CH 4), ethane (C2H 6), ethylene (C2H 4), acetylene (C2H 2), carbon monoxide (CO), carbon dioxide (CO 2), total hydrocarbons.
And 103, judging whether the current values of various dissolved characteristic gases in the first equipment exceed preset attention values and alarm values, if so, executing a step 104, and otherwise, executing a step 105.
And step 104, storing the equipment information of the first equipment into a data packet with abnormal data.
It can be understood that, when any one of the various dissolved characteristic gases of the main oil chromatography device exceeds the attention value and the alarm value, the data of the device is considered to be abnormal, the device information with the abnormal data is stored in a data packet, which is a program data packet of the RPA robot, otherwise, step 105 is executed.
And 105, capturing historical numerical values of various dissolved characteristic gases of the first equipment through a web crawler, calculating a gas production rate according to the current numerical value and the historical numerical values, and storing the equipment information of the first equipment into a data packet with abnormal data when the gas production rate exceeds a preset gas production threshold value.
It should be noted that, in this embodiment, in addition to determining whether the device has data abnormality through various dissolved characteristic gases of the main transformer oil chromatography device, the total hydrocarbon gas production rate is calculated by longitudinally comparing historical data, therefore, the same needs to grasp historical values of various dissolved characteristic gases of the first device through a web crawler, calculate the total hydrocarbon gas production rate according to the current value and the historical values, and when the total hydrocarbon gas production rate exceeds a preset gas production threshold, store the device information of the first device into a data packet of "data abnormality".
According to the main transformer on-line oil chromatography monitoring method, an RPA robot logs in a monitoring command system of a power grid, and a monitoring variable of oil chromatography monitoring is initialized; then, the network crawler is utilized to grab the current numerical values of various dissolved characteristic gases of the main transformer oil chromatographic device, so that the workload of manual monitoring is greatly reduced; then judging and storing a main transformer oil chromatographic device with data abnormality according to the current numerical values of various dissolved characteristic gases; in addition to judging the occurrence of data abnormality through various dissolved characteristic gas values, historical values of various dissolved characteristic gases are captured by a web crawler to calculate gas production rate, and whether the online monitoring data of the main transformer oil chromatographic device is abnormal or not is judged; therefore, the technical problems that in the prior art, data check is mainly carried out on a chromatographic monitoring data account in an artificial monitoring disc mode, the workload of a main transformer oil chromatographic monitoring disc is large, and misjudgment is easy to occur are solved.
The above is a first embodiment of a method for monitoring a main transformer online oil chromatography provided in the embodiment of the present application, and the following is a second embodiment of the method for monitoring a main transformer online oil chromatography provided in the embodiment of the present application.
Referring to fig. 2, fig. 2 is a schematic flow chart of a second embodiment of an online oil chromatography monitoring method for a main transformer according to an embodiment of the present application.
The main transformer online oil chromatography monitoring method provided by the embodiment comprises the following steps:
It should be noted that, in this embodiment, after logging in the monitoring and commanding system through the RPA robot, the execution duration of the RPA robot is also set, so that the RPA robot can monitor the oil chromatography device according to the manually set working time, and meanwhile, by setting the data packet of the "data anomaly" and the information of the contact person fed back by the data packet of the "device anomaly", when the oil chromatography device has data anomaly or device anomaly, specific device information is fed back to the specific contact person, so that the contact person can process the data anomaly or device anomaly in time.
It can be understood that, in this embodiment, besides the oil chromatography device capable of monitoring the data abnormality of the tray, the oil chromatography device in the offline state can be captured by the web crawler, and whether the operation state of the tray monitoring oil chromatography device in the offline state is abnormal or not is determined.
In a specific embodiment, the method for determining whether the operation state of the off-line oil chromatography device is abnormal includes: when all components of the operating state data of the oil chromatogram are 0, storing the equipment information of the second equipment into a data packet of 'abnormal equipment'; when the monitoring date of the running state data exceeds the preset time and is not updated and is displayed as an online state, storing the equipment information of the second equipment into a data packet of 'abnormal equipment'; and when any one of various dissolved characteristic gases of the second equipment is not updated after the preset time is exceeded and is displayed in an online state, storing the equipment information of the second equipment into a data packet of 'device abnormity'.
And 203, capturing the current numerical values of various dissolved characteristic gases in each first device by using a web crawler for the first devices with the main transformer oil chromatography devices in an online state.
Step 203 of this embodiment is the same as step 102 of this embodiment, please refer to step 102 for description, and will not be described herein again.
Step 204 of this embodiment is the same as step 103 of this embodiment, please refer to step 103 for description, and will not be described herein again.
It should be noted that the historical value may be, for example, a value of each type of dissolved characteristic gas one month ago, after the historical value is obtained, the difference between the current value and the historical value is divided by the historical value to obtain a gas production rate, when the gas production rate exceeds a preset gas production threshold, it is determined that the oil chromatography device has data abnormality, and the device information of the oil chromatography device is stored in a data packet of "data abnormality".
In one embodiment, when the historical value is missing, the most recent valid value is selected as the historical value.
And step 207, when the RPA robot exceeds the execution time, sending the data packet with abnormal data and the data packet with abnormal device to a feedback contact person.
It can be understood that, since the RPA robot is set at the beginning of the embodiment, when the execution duration is not exceeded, the next oil chromatography device continues to be monitored, and when the execution duration is exceeded, the RPA robot sends the data packet of the "data anomaly" and the data packet of the "device anomaly" of the oil chromatography device in the execution duration to the feedback contact.
According to the main transformer online oil chromatography monitoring device, the monitoring command system of the power grid is logged in through the RPA robot, the monitoring variable of oil chromatography monitoring is initialized, the execution duration of the RPA robot is set, and the abnormal number is fed back to a contact person; firstly, judging whether the oil chromatography device is abnormal or not by capturing the running state data of the oil chromatography device and recording the information of abnormal equipment; then, the network crawler is utilized to grab the current numerical values of various dissolved characteristic gases of the main transformer oil chromatographic device, so that the workload of manual monitoring is greatly reduced; then judging and storing the equipment information of the main transformer oil chromatographic device with data abnormality according to the current numerical values of various dissolved characteristic gases; except that the occurrence of data abnormity is judged according to various dissolved characteristic gas values, historical numerical values of various dissolved characteristic gases are captured by a web crawler to calculate the gas production rate, and whether the online monitoring data of the main transformer oil chromatographic device is abnormal or not is judged; and finally, after the execution duration is exceeded, sending the data abnormity obtained by monitoring the disk and the device abnormity information to a feedback contact person. In the embodiment, the RPA robot is used as a data processing main body, so that the accuracy of data processing is effectively improved, and meanwhile, the data is captured by using a web crawler, so that the workload of manual monitoring is reduced; and the RPA robot is used for judging the data abnormality and the device abnormality of the captured data, so that the accuracy of monitoring the disk is improved. Therefore, the technical problems that in the prior art, data check is mainly carried out on a chromatographic monitoring data account in a manual monitoring mode, the workload of a main transformer oil chromatographic monitoring disc is large, and misjudgment is easy to occur are solved.
The second embodiment of the method for monitoring the main transformer online oil chromatography provided in the embodiment of the present application is as described above, and the following is an embodiment of a main transformer online oil chromatography monitoring disc device provided in the embodiment of the present application.
Referring to fig. 3, fig. 3 is a structural diagram of an embodiment of an online oil chromatography monitoring device of a main transformer provided in an embodiment of the present application.
The online oil chromatography supervisory disk device of main transformer that this embodiment provided includes:
and the initialization module 301 is configured to log in the monitoring command system through the RPA robot, and load a main transformer oil chromatography monitoring interface of the monitoring command system.
The data capturing module 302 is configured to capture, by using a web crawler, a current value of each type of dissolved characteristic gas in each first device for the first devices in which the main transformer oil chromatography device is in an online state.
The first analysis module 303 is configured to determine whether a current value of each type of dissolved characteristic gas in the first device exceeds a preset attention value and an alarm value, if yes, store the device information of the first device in a data packet with "data exception", and otherwise, trigger the second analysis module.
The second analysis module 304 is configured to capture historical values of various dissolved characteristic gases of the first device through a web crawler, calculate a gas production rate according to the current value and the historical values, and store the device information of the first device in a data packet with "data exception" when the gas production rate exceeds a preset gas production threshold.
According to the main transformer online oil chromatography monitoring device, a monitoring command system of a power grid is logged in through an RPA robot, and monitoring disc variables of oil chromatography monitoring are initialized; then, the network crawler is utilized to grab the current numerical values of various dissolved characteristic gases of the main transformer oil chromatographic device, so that the workload of manual monitoring is greatly reduced; then judging and storing a main transformer oil chromatographic device with data abnormality according to the current numerical values of various dissolved characteristic gases; in addition to judging the occurrence of data abnormality through various dissolved characteristic gas values, historical values of various dissolved characteristic gases are captured by a web crawler to calculate gas production rate, and whether the online monitoring data of the main transformer oil chromatographic device is abnormal or not is judged; therefore, the technical problems that in the prior art, data check is mainly carried out on a chromatographic monitoring data account in an artificial monitoring disc mode, the workload of a main transformer oil chromatographic monitoring disc is large, and misjudgment is easy to occur are solved.
Further, the online oil chromatography supervisory control of main transformer device of this application still includes:
a third analysis module;
the third analysis module is used for capturing the running state data of each second device through a web crawler for the second devices in the off-line state of the main transformer oil chromatography device; and analyzing the running state of the second equipment according to the running state data, and storing the equipment information of the second equipment with the abnormality to a data packet of 'device abnormality'.
Further, the online oil chromatography supervisory control of main transformer device of this application still includes:
a sending module;
and the sending module is used for sending the data packet with abnormal data and the data packet with abnormal device to a preset feedback contact person when the RPA robot exceeds the preset execution time.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation 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.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. An online oil chromatography monitoring method for a main transformer is characterized by comprising the following steps:
s1, logging in a monitoring command system through the RPA robot, and loading a main transformer oil chromatography monitoring interface of the monitoring command system;
s2, for first equipment with a main transformer oil chromatography device in an online state, capturing the current numerical values of various dissolved characteristic gases in each first equipment through a web crawler;
s3, judging whether the current values of various dissolved characteristic gases in the first equipment exceed preset attention values and alarm values, if so, storing the equipment information of the first equipment into a data packet of 'data abnormity', otherwise, executing the step S4;
s4, capturing historical numerical values of various dissolved characteristic gases of the first equipment through a web crawler, calculating a gas production rate according to the current numerical value and the historical numerical values, and storing the equipment information of the first equipment to the data packet with abnormal data when the gas production rate exceeds a preset gas production threshold value.
2. The on-line oil chromatography monitoring method of the main transformer of claim 1, wherein step S1 is followed by further comprising:
for second equipment of which the main transformer oil chromatography device is in an off-line state, capturing operation state data of each piece of second equipment through a web crawler;
and analyzing the running state of the second equipment according to the running state data, and storing the abnormal equipment information of the second equipment into a data packet of 'device abnormality'.
3. The online oil chromatography monitoring method for the main transformer according to claim 2, wherein the analyzing the operation state of the second device according to the operation state data and saving the device information of the second device with the abnormality to a data packet of "device abnormality" specifically comprises:
when all the components of the running state data are 0, storing the equipment information of the second equipment to the data packet of the 'device abnormity';
when the monitoring date of the running state data is not updated after the preset time and is displayed as an online state, storing the equipment information of the second equipment into the data packet of the 'device abnormity';
and when any one of the various dissolved characteristic gases of the second equipment is not updated after the preset time is exceeded and is displayed in an online state, storing the equipment information of the second equipment into the data packet of the abnormal device.
4. The main transformer online oil chromatography monitoring method according to claim 2, wherein the logging in a monitoring command system through an RPA robot further comprises:
and setting the execution duration of the RPA robot, and the information of the feedback contact persons of the data packet with the abnormal data and the data packet with the abnormal device.
5. The on-line oil chromatography monitoring method of the main transformer of claim 4, wherein after the step S4, the method further comprises:
and when the RPA robot exceeds the execution duration, sending the data packet with abnormal data and the data packet with abnormal device to the feedback contact person.
6. The online oil chromatography monitoring method of the main transformer according to claim 1, wherein the calculating a gas production rate according to the current value and the historical value specifically comprises:
and dividing the difference value between the current numerical value and the historical numerical value by the historical numerical value to obtain the gas production rate.
7. The main transformer online oil chromatography monitoring method according to claim 6, wherein the capturing historical values of various types of dissolved characteristic gases of the first equipment by a web crawler further comprises:
and when the historical numerical value is missing, selecting the effective numerical value which is closest to the current numerical value in terms of time as the historical numerical value.
8. The utility model provides a main transformer on-line oil chromatography supervisory disk device which characterized in that includes:
the system comprises an initialization module, a monitoring command system and a main transformer oil chromatography monitoring interface, wherein the initialization module is used for logging in the monitoring command system through an RPA robot and loading the main transformer oil chromatography monitoring interface of the monitoring command system;
the data capturing module is used for capturing the current numerical values of various dissolved characteristic gases in each first device through a web crawler for the first devices with the main transformer oil chromatography devices in an online state;
the first analysis module is used for judging whether the current numerical value of various dissolved characteristic gases in the first equipment exceeds a preset attention value and an alarm value, if so, storing the equipment information of the first equipment to a data packet with abnormal data, and otherwise, triggering the second analysis module;
and the second analysis module is used for capturing historical numerical values of various dissolved characteristic gases of the first equipment through a web crawler, calculating a gas production rate according to the current numerical value and the historical numerical values, and storing the equipment information of the first equipment to the data packet with abnormal data when the gas production rate exceeds a preset gas production threshold value.
9. The on-line oil chromatography monitoring disc device of the main transformer of claim 8, further comprising a third analysis module;
the third analysis module is used for capturing the running state data of each second device by a web crawler for the second devices with the main transformer oil chromatography device in an off-line state; and analyzing the running state of the second equipment according to the running state data, and storing the abnormal equipment information of the second equipment into a data packet of 'device abnormality'.
10. The on-line oil chromatography monitoring disc device of the main transformer according to claim 9, further comprising a sending module;
and the sending module is used for sending the data packet with abnormal data and the data packet with abnormal device to a preset feedback contact person when the RPA robot exceeds a preset execution time.
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