CN114325257A - Self-adaptive adjustment method and monitoring system for data acquisition of partial discharge sensor of transformer - Google Patents
Self-adaptive adjustment method and monitoring system for data acquisition of partial discharge sensor of transformer Download PDFInfo
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Abstract
The invention is suitable for the technical field of power grid monitoring, and provides a transformer partial discharge sensor data acquisition self-adaptive adjusting method and a monitoring system, wherein the method comprises the following steps: acquiring discharge data acquired by a partial discharge sensor within a preset time period; determining the state of target equipment according to discharge data acquired by a partial discharge sensor in a preset time period; the partial discharge sensor is used for acquiring a partial discharge signal of target equipment; and setting the acquisition period and the uploading period of the partial discharge sensor according to the state of the target equipment. The acquisition cycle and the uploading cycle of the partial discharge sensor are dynamically adjusted in a self-adaptive manner according to the discharge data of the partial discharge sensor, so that the acquisition cycle and the uploading cycle are automatically adjusted, and the accuracy of partial discharge identification is improved.
Description
Technical Field
The invention belongs to the technical field of power grid monitoring, and particularly relates to a data acquisition self-adaptive adjusting method and a monitoring system for a partial discharge sensor of a transformer.
Background
The power transmission and transformation Internet of things is an expanded application and network extension of a communication network and the Internet, and the power transmission and transformation Internet of things utilizes a sensing technology and intelligent equipment to sense and identify the physical world, performs data calculation, processing and data mining through network transmission interconnection, realizes information interaction and seamless link between people and objects and between objects and objects, and achieves the purposes of real-time control, accurate management and scientific decision making of the physical world. Partial discharge signals of the transformer are collected by a plurality of partial discharge sensors and are transmitted to an upper computer through an access node.
In the prior art, the sampling period and the uploading period of the partial discharge sensor generally need to be manually set and cannot be adaptively adjusted, so that data uploaded by the partial discharge sensor may be abnormal, and the accuracy of partial discharge detection is affected.
Disclosure of Invention
In view of this, the embodiment of the invention provides a transformer partial discharge sensor data acquisition adaptive adjustment method and a monitoring system, so as to solve the problem that the uploading period and the sampling period of a partial discharge sensor cannot be adaptively adjusted, and the partial discharge detection accuracy is affected in the prior art.
The first aspect of the embodiments of the present invention provides a transformer partial discharge sensor data acquisition adaptive adjustment method, including:
acquiring discharge data acquired by a partial discharge sensor within a preset time period;
determining the state of target equipment according to discharge data acquired by a partial discharge sensor in a preset time period; the partial discharge sensor is used for acquiring a partial discharge signal of target equipment;
and setting the acquisition period and the uploading period of the partial discharge sensor according to the state of the target equipment.
A second aspect of the embodiments of the present invention provides a sensor control terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the transformer partial discharge sensor data acquisition adaptive adjustment method provided in the first aspect of the embodiments of the present invention when executing the computer program.
A third aspect of an embodiment of the present invention provides a monitoring system, including: at least one partial discharge sensor, an access node and a sensor control terminal as provided in the second aspect of the embodiments of the present invention;
each partial discharge sensor is connected with the sensor control terminal through an access node.
The embodiment of the invention provides a data acquisition self-adaptive adjusting method and a monitoring system for a partial discharge sensor of a transformer, wherein the method comprises the following steps: acquiring discharge data acquired by a partial discharge sensor within a preset time period; determining the state of target equipment according to discharge data acquired by a partial discharge sensor in a preset time period; the partial discharge sensor is used for acquiring a partial discharge signal of target equipment; and setting the acquisition period and the uploading period of the partial discharge sensor according to the state of the target equipment. According to the embodiment of the invention, the acquisition period and the uploading period of the partial discharge sensor are dynamically adjusted in a self-adaptive manner according to the discharge data of the partial discharge sensor, so that the acquisition period and the uploading period are automatically adjusted, the effectiveness of the data uploaded by the partial discharge sensor is improved, and the accuracy of partial discharge identification is further improved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart illustrating an implementation process of a data acquisition adaptive adjustment method for a partial discharge sensor of a transformer according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a transformer partial discharge sensor data collection adaptive regulation apparatus provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a sensor control terminal provided by an embodiment of the invention;
fig. 4 is a topological diagram of a monitoring system according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Referring to fig. 1, an embodiment of the present invention provides a method for adaptively adjusting data acquisition of a partial discharge sensor of a transformer, including:
s101: acquiring discharge data acquired by a partial discharge sensor within a preset time period;
s102: determining the state of target equipment according to discharge data acquired by a partial discharge sensor in a preset time period; the partial discharge sensor is used for acquiring a partial discharge signal of target equipment;
s103: and setting the acquisition period and the uploading period of the partial discharge sensor according to the state of the target equipment.
According to the embodiment of the invention, the acquisition period and the uploading period of the partial discharge sensor are dynamically adjusted in a self-adaptive manner according to the discharge data of the partial discharge sensor, so that the acquisition period and the uploading period can be automatically adjusted. For example, when an abnormal discharge signal exists in the discharge data, the data needs to be densely collected, so that the uploading period is reduced, the collection period is increased, the collection frequency of the data is also improved, the abnormal discharge signal can be more accurately collected, the effectiveness of the data uploaded by the local discharge sensor is improved, and the accuracy of local discharge identification is further improved. For another example, when there is no abnormal discharge signal in the discharge data, it indicates that the state of the target device is better at this time, the data does not need to be densely collected, the upload period can be increased, and the collection period is reduced, that is, the collection frequency of the data is reduced, the system power is reduced on the premise of ensuring the validity of the data, and more energy is saved. The embodiment of the invention can adaptively adjust the uploading period and the acquisition period of the partial discharge sensors without manual setting of a user, improves the accuracy of partial discharge identification, reduces the system efficiency, and uniformly adjusts a plurality of partial discharge sensors, so that the access nodes of the partial discharge sensors cannot be unbalanced.
In some embodiments, the number of partial discharge sensors may be at least one.
For example, 5 partial discharge sensors are arranged around the transformer, discharge data of the 5 partial discharge sensors are obtained in the embodiment of the invention, the state of the transformer is determined according to the 5 groups of discharge data, and the uploading period and the acquisition period of the 5 partial discharge sensors are uniformly and adaptively adjusted according to the state of the transformer, so that the uploading period and the acquisition period of the sensors are adaptive to the state of the transformer, and the effectiveness of the uploaded data is improved.
In some embodiments, S102 may include;
s1021: if the discharge data which is larger than a first preset value exists in the discharge data acquired by the partial discharge sensor within a preset time period, determining that the target equipment is in a first abnormal state;
s1022: if the discharge data which are larger than the first preset value do not exist in the discharge data acquired by the partial discharge sensor within the preset time period, but the discharge data which are not larger than the first preset value and are larger than the second preset value exist, determining that the target equipment is in a second abnormal state;
s1023: and if the discharge data acquired by the partial discharge sensor in the preset time period is not greater than the second preset value, determining that the target equipment is in a normal state.
In some embodiments, the partial discharge sensor may include a high frequency partial discharge sensor and/or an ultrasonic partial discharge sensor.
In the embodiment of the invention, whether the threshold value is exceeded is determined by the ultrasonic partial discharge sensor, and if the threshold value is exceeded, the fault type can be analyzed by the fault identification and analysis of the partial discharge map data PRPD (phase resolved partial discharge) of the high-frequency partial discharge sensor. For example, the fault type includes 0, external discharge; 1. suspension discharge; 2. creeping discharge; 3. internal insulation; 4. discharging the oiled paper; 5. discharging impurities; 6. and (4) noise interference. According to the embodiment of the invention, the ultrasonic partial discharge sensor and the over-high frequency partial discharge sensor are combined to detect the partial discharge abnormity, so that misjudgment can be effectively prevented, and the detection accuracy is greatly improved.
According to the embodiment of the invention, whether abnormal discharge exists in the target equipment is judged and judged according to the discharge data acquired by the partial discharge sensor in the preset time period, so that two kinds of abnormal discharge can be distinguished for fine control, and the control is convenient to separate. For example, the first preset value may be 100mv, and the second preset value may be 50 mv. Specifically, the first preset value and the second preset value can be set according to actual application requirements.
In some embodiments, S103 may include:
s1031: acquiring a current acquisition cycle and an uploading cycle of the partial discharge sensor;
s1032: if the target equipment is in the first abnormal state, taking four times of the current acquisition period as a new acquisition period, and taking one fourth of the current uploading period as a new uploading period;
s1033: if the target equipment is in the second abnormal state, taking two times of the current acquisition period as a new acquisition period, and taking one half of the current uploading period as a new uploading period;
s1034: if the target equipment is in a normal state, taking the initial acquisition period as a new acquisition period and taking the initial uploading period as a new uploading period;
s1035: and issuing the new uploading period and the new acquisition period to the partial discharge sensor.
Based on the above, when the target device is in the first abnormal state, it indicates that the discharge signal amplitude is large, the discharge condition is severe, and data needs to be collected more densely. When the target equipment is in the second abnormal state, the discharge signal amplitude is small, the discharge condition is not serious, and the acquisition density can be properly reduced. And when the equipment returns to normal, the acquisition cycle and the uploading cycle are returned to the initial state.
In some embodiments, S1032 may comprise:
1. if the target equipment is in the first abnormal state and the quadruple current acquisition period is not more than the maximum acquisition period, taking the quadruple current acquisition period as a new acquisition period;
2. if the target equipment is in the first abnormal state and the four times of the current acquisition period is greater than the maximum acquisition period, taking the maximum acquisition period as a new acquisition period;
3. if the target equipment is in the first abnormal state and the quarter of the current uploading period is not smaller than the minimum uploading period, taking the quarter of the current uploading period as a new uploading period;
4. and if the target equipment is in the first abnormal state and one fourth of the current uploading period is smaller than the minimum uploading period, taking the minimum uploading period as a new uploading period.
In some embodiments, S1033 may include:
1. if the target equipment is in the second abnormal state and the two times of the current acquisition period is not more than the maximum acquisition period, taking the two times of the current acquisition period as a new acquisition period;
2. if the target equipment is in the second abnormal state and the two times of the current acquisition period is greater than the maximum acquisition period, taking the maximum acquisition period as a new acquisition period;
3. if the target equipment is in the second abnormal state and one-half of the current uploading period is not smaller than the minimum uploading period, taking the one-half of the current uploading period as a new uploading period;
4. and if the target equipment is in the second abnormal state and one half of the current uploading period is smaller than the minimum uploading period, taking the minimum uploading period as a new uploading period.
The uploading period is too small, and the acquisition period is too large, so that the power is increased, therefore, in the embodiment of the invention, the minimum value is set for the uploading period, the maximum value is set for the acquisition period, and the energy consumption is controlled.
In some embodiments, the maximum acquisition period may be 1000ms, and the minimum upload period may be 1 h.
In some embodiments, the initial acquisition period may be 200ms, and the initial upload period may be 6 h.
For example, when the first period detects that the target device is in the second abnormal state, the acquisition period is adjusted to 400ms, and the uploading period is adjusted to 3 h. When the target device is detected to be in the first abnormal state in the second period, the four-time acquisition period is 1600ms, which is larger than the maximum acquisition period, and the one-fourth uploading period is 0.75h, which is smaller than the minimum uploading period, so that the acquisition period is adjusted to 1000ms, and the uploading period is adjusted to 1 h. And detecting that the target equipment is still in the second abnormal state in the third period, wherein the acquisition period and the uploading period reach the limit values, so that no adjustment is made. And if the target equipment in the fourth period is in a normal state, adjusting the uploading period and the acquisition period to initial values, and recovering the normal sampling and uploading frequency.
In some embodiments, after S101, the method may further include:
s104: preprocessing discharge data acquired by a partial discharge sensor in a preset time period to obtain preprocessed discharge data;
s102 may include:
s1021: and determining the state of the target equipment according to the pre-processed discharge data.
In order to improve the accuracy of control, the embodiment of the invention can also preprocess the discharge data, filter interference data, reserve real discharge data and improve the accuracy of control.
In some embodiments, the preset time period may be 24 h.
I.e. the upload period and the acquisition period can be adjusted only once per day.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Corresponding to the above embodiment, referring to fig. 2, an embodiment of the present invention further provides a transformer partial discharge sensor data acquisition adaptive adjustment apparatus, including:
the data acquisition module 21 is configured to acquire discharge data acquired by the partial discharge sensor within a preset time period;
the discharge state determination module 22 is configured to determine a state of the target device according to discharge data acquired by the partial discharge sensor within a preset time period; the partial discharge sensor is used for acquiring a partial discharge signal of target equipment;
and the parameter adjusting module 23 is configured to set an acquisition cycle and an uploading cycle of the partial discharge sensor according to the state of the target device.
In some embodiments, the discharge state determination module 22 may include;
the first state judgment unit 221 is configured to determine that the target device is in a first abnormal state if discharge data larger than a first preset value exists in discharge data acquired by the partial discharge sensor within a preset time period;
the second state judgment unit 222 is configured to determine that the target device is in a second abnormal state if discharge data larger than the first preset value does not exist in discharge data acquired by the partial discharge sensor within a preset time period, but discharge data not larger than the first preset value and larger than a second preset value exists;
and a third state judgment unit 223, configured to determine that the target device is in a normal state if the discharge data acquired by the partial discharge sensor in the preset time period is not greater than the second preset value.
In some embodiments, the parameter adjusting module 23 may include:
a current parameter obtaining unit 231, configured to obtain a current acquisition cycle and an uploading cycle of the partial discharge sensor;
a first parameter determining unit 232, configured to, if the target device is in the first abnormal state, take four times of the current acquisition period as a new acquisition period, and take one fourth of the current upload period as a new upload period;
a second parameter determining unit 233, configured to, if the target device is in the second abnormal state, take twice the current acquisition period as a new acquisition period, and take half the current upload period as a new upload period;
a third parameter determining unit 234, configured to, if the target device is in a normal state, take the initial acquisition period as a new acquisition period, and take the initial upload period as a new upload period;
and the parameter issuing unit 235 is configured to issue the new uploading period and the new collecting period to the partial discharge sensor.
In some embodiments, the first parameter determination unit 232 may include:
a first parameter determining subunit 2321, configured to, if the target device is in the first abnormal state and the quadruple current acquisition period is not greater than the maximum acquisition period, take the quadruple current acquisition period as a new acquisition period;
a second parameter determining subunit 2322, configured to, if the target device is in the first abnormal state and four times of the current acquisition period is greater than the maximum acquisition period, take the maximum acquisition period as a new acquisition period;
a third parameter determining subunit 2323, configured to, if the target device is in the first abnormal state and one-fourth of the current uploading period is not smaller than the minimum uploading period, take the one-fourth of the current uploading period as a new uploading period;
a fourth parameter determining subunit 2324, configured to, if the target device is in the first abnormal state and one-fourth of the current upload period is smaller than the minimum upload period, take the minimum upload period as a new upload period.
In some embodiments, the second parameter determination unit 233 may include:
a fifth parameter determining subunit 2331, configured to, if the target device is in the second abnormal state and the two times of the current acquisition period are not greater than the maximum acquisition period, take the two times of the current acquisition period as a new acquisition period;
a sixth parameter determining subunit 2332, configured to, if the target device is in the second abnormal state and twice the current acquisition period is greater than the maximum acquisition period, take the maximum acquisition period as a new acquisition period;
a seventh parameter determining subunit 2333, configured to, if the target device is in the second abnormal state and one-half of the current uploading period is not smaller than the minimum uploading period, take the one-half of the current uploading period as a new uploading period;
an eighth parameter determining subunit 2334, configured to, if the target device is in the second abnormal state and one-half of the current uploading period is smaller than the minimum uploading period, take the minimum uploading period as a new uploading period.
In some embodiments, the maximum acquisition period may be 1000ms, and the minimum upload period may be 1 h.
In some embodiments, the initial acquisition period may be 200ms, and the initial upload period may be 6 h.
In some embodiments, the apparatus may further include:
the preprocessing module 24 is configured to preprocess the discharge data acquired by the partial discharge sensor within a preset time period to obtain preprocessed discharge data;
the discharge state determination module 22 may be specifically configured to:
and determining the state of the target equipment according to the pre-processed discharge data.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the terminal device is divided into different functional units or modules to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the above-mentioned apparatus may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Fig. 3 is a schematic block diagram of a sensor control terminal according to an embodiment of the present invention. As shown in fig. 3, the sensor control terminal 3 of this embodiment includes: one or more processors 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processors 30. The processor 30, when executing the computer program 32, implements the steps in the above-described embodiments of the transformer partial discharge sensor data acquisition adaptive adjustment method, such as the steps S101 to S103 shown in fig. 1. Alternatively, the processor 30, when executing the computer program 32, implements the functions of the modules/units in the above-described transformer partial discharge sensor data acquisition adaptive adjustment apparatus embodiment, such as the functions of the modules 21 to 23 shown in fig. 2.
Illustratively, the computer program 32 may be divided into one or more modules/units, which are stored in the memory 31 and executed by the processor 30 to accomplish the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 32 in the sensor control terminal 3. For example, the computer program 32 may be divided into the data acquisition module 21, the discharge state determination module 22, and the parameter adjustment module 23.
The data acquisition module 21 is configured to acquire discharge data acquired by the partial discharge sensor within a preset time period;
the discharge state determination module 22 is configured to determine a state of the target device according to discharge data acquired by the partial discharge sensor within a preset time period; the partial discharge sensor is used for acquiring a partial discharge signal of target equipment;
and the parameter adjusting module 23 is configured to set an acquisition cycle and an uploading cycle of the partial discharge sensor according to the state of the target device.
Other modules or units are not described in detail herein.
The sensor control terminal 3 includes, but is not limited to, a processor 30 and a memory 31. It will be understood by those skilled in the art that fig. 3 is only one example of a sensor control terminal, and does not constitute a limitation to the sensor control terminal 3, and may include more or less components than those shown, or combine some components, or different components, for example, the sensor control terminal 3 may further include an input device, an output device, a network access device, a bus, etc.
The Processor 30 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 31 may be an internal storage unit of the sensor control terminal, such as a hard disk or a memory of the sensor control terminal. The memory 31 may also be an external storage device of the sensor control terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the sensor control terminal. Further, the memory 31 may also include both an internal storage unit and an external storage device of the sensor control terminal. The memory 31 is used for storing the computer program 32 and other programs and data required by the sensor control terminal. The memory 31 may also be used to temporarily store data that has been output or is to be output.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed sensor control terminal and method may be implemented in other manners. For example, the above-described sensor control terminal embodiments are merely illustrative, and for example, a division of modules or units is only one logical division, and an actual implementation may have another division, 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.
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 modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the embodiments described above may be implemented by a computer program, which is stored in a computer readable storage medium and used by a processor to implement the steps of the embodiments of the methods described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may include any suitable increase or decrease as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
An embodiment of the present invention further provides a monitoring system, with reference to fig. 4, including: at least one partial discharge sensor 1, an access node 2 and a sensor control terminal 3 provided in the above embodiments;
each partial discharge sensor 1 is connected to a sensor control terminal 3 via an access node 2.
After starting up, each partial discharge sensor 1 carries out self-checking to detect the power supply state, the acquisition state and the communication state (the communication state between the partial discharge sensor 1 and the access node 2) of the high-frequency partial discharge sensor 1; if the abnormality is found, the sensor carries out automatic initialization adjustment, the collection default setting is recovered, and the communication state is initialized so as to ensure the normal operation state of the sensor. Judging whether data is required to be uploaded or not; if the data is required to be uploaded, a data transmission channel is established with the access node 2 through 2.4G or lora, and communication handshake, data transmission and communication are finished; and if the data is not required to be uploaded, entering a dormant state (power saving mode), recording an uploading period, and continuing to trigger data uploading after the timing period is reached. After the discharge data are uploaded, the sensor control terminal 3 analyzes and displays the discharge data, and finds a discharge abnormal signal. Wherein, can set up APP on the sensor control terminal 3, the user sets up the sensor through APP, can also look over the discharge data etc. of transformer through APP. The data acquisition self-adaptive adjustment method of each transformer partial discharge sensor 1 is directly applied to the APP, the upgrading algorithm and the modification algorithm only need to update the APP, the sensor program does not need to be upgraded, and the method has good expansibility.
In some embodiments, an MQTT communication protocol may be adopted between the access node 2 and the sensor control terminal 3, specifically:
the access node 2 analyzes the discharge data sent by the sensor through the configured object model corresponding to the sensor, stores the data, and then the access node 2 issues the theme through the MQTT communication protocol according to the analyzed sensor data. The sensor control terminal 3 subscribes the topics published by the access node 2 through the MQTT communication protocol, receives the discharge data, and processes and analyzes the discharge data.
The sensor control terminal 3 may be a mobile phone or a tablet computer.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit 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; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A data acquisition self-adaptive adjustment method for a partial discharge sensor of a transformer is characterized by comprising the following steps:
acquiring discharge data acquired by a partial discharge sensor within a preset time period;
determining the state of the target equipment according to the discharge data acquired by the partial discharge sensor in the preset time period; the partial discharge sensor is used for acquiring a partial discharge signal of the target equipment;
and setting the acquisition period and the uploading period of the partial discharge sensor according to the state of the target equipment.
2. The transformer partial discharge sensor data acquisition adaptive adjustment method according to claim 1, wherein the determining of the state of the target device according to the discharge data acquired by the partial discharge sensor within the preset time period includes;
if the discharge data which is larger than a first preset value exists in the discharge data acquired by the partial discharge sensor in the preset time period, determining that the target equipment is in a first abnormal state;
if the discharge data which are larger than the first preset value do not exist in the discharge data acquired by the partial discharge sensor in the preset time period, but the discharge data which are not larger than the first preset value and are larger than a second preset value exist, determining that the target equipment is in a second abnormal state;
and if the discharge data acquired by the partial discharge sensor in the preset time period is not greater than the second preset value, determining that the target equipment is in a normal state.
3. The method for adaptively adjusting data acquisition of the partial discharge sensor of the transformer according to claim 2, wherein the setting of the acquisition period and the uploading period of the partial discharge sensor according to the state of the target device comprises:
acquiring a current acquisition cycle and an uploading cycle of the partial discharge sensor;
if the target equipment is in a first abnormal state, taking four times of the current acquisition period as a new acquisition period, and taking one fourth of the current uploading period as a new uploading period;
if the target equipment is in a second abnormal state, taking twice of the current acquisition period as a new acquisition period, and taking one half of the current uploading period as a new uploading period;
if the target equipment is in a normal state, taking the initial acquisition period as a new acquisition period and taking the initial uploading period as a new uploading period;
and issuing the new uploading period and the new acquisition period to the partial discharge sensor.
4. The transformer partial discharge sensor data acquisition adaptive adjustment method according to claim 3, wherein if the target device is in the first abnormal state, taking four times of the current acquisition cycle as a new acquisition cycle, and taking one quarter of the current upload cycle as a new upload cycle, includes:
if the target equipment is in a first abnormal state and the quadruple current acquisition period is not more than the maximum acquisition period, taking the quadruple current acquisition period as a new acquisition period;
if the target equipment is in a first abnormal state and four times of the current acquisition period is greater than the maximum acquisition period, taking the maximum acquisition period as a new acquisition period;
if the target equipment is in a first abnormal state and one fourth of the current uploading period is not smaller than the minimum uploading period, taking the one fourth of the current uploading period as a new uploading period;
and if the target equipment is in a first abnormal state and one fourth of the current uploading period is smaller than the minimum uploading period, taking the minimum uploading period as a new uploading period.
5. The transformer partial discharge sensor data acquisition adaptive adjustment method according to claim 3, wherein if the target device is in the second abnormal state, taking twice of the current acquisition period as a new acquisition period and taking one half of the current upload period as a new upload period includes:
if the target equipment is in a second abnormal state and the two times of the current acquisition period is not more than the maximum acquisition period, taking the two times of the current acquisition period as a new acquisition period;
if the target equipment is in a second abnormal state and the two times of the current acquisition period is greater than the maximum acquisition period, taking the maximum acquisition period as a new acquisition period;
if the target equipment is in a second abnormal state and one half of the current uploading period is not smaller than the minimum uploading period, taking the one half of the current uploading period as a new uploading period;
and if the target equipment is in a second abnormal state and one half of the current uploading period is smaller than the minimum uploading period, taking the minimum uploading period as a new uploading period.
6. The transformer partial discharge sensor data acquisition adaptive adjustment method according to claim 4 or 5, characterized in that the maximum acquisition period is 1000ms, and the minimum upload period is 1 h.
7. The transformer partial discharge sensor data acquisition adaptive adjustment method according to any one of claims 3 to 5, characterized in that the initial acquisition period is 200ms, and the initial upload period is 6 h.
8. The adaptive adjustment method for the data acquisition of the partial discharge sensor of the transformer according to any one of claims 1 to 5, wherein after the acquiring the discharge data acquired by the partial discharge sensor within the preset time period, the method further comprises:
preprocessing the discharge data acquired by the partial discharge sensor in the preset time period to obtain preprocessed discharge data;
the determining the state of the target device according to the discharge data acquired by the partial discharge sensor in the preset time period includes:
and determining the state of the target equipment according to the preprocessed discharge data.
9. A sensor control terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the transformer partial discharge sensor data acquisition adaptive adjustment method according to any one of claims 1 to 8 when executing the computer program.
10. A monitoring system, comprising: at least one partial discharge sensor, an access node and a sensor control terminal according to claim 9;
and each partial discharge sensor is connected with the sensor control terminal through the access node.
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