CN117891288B - Transformer air-cooling control system based on artificial intelligence - Google Patents
Transformer air-cooling control system based on artificial intelligence Download PDFInfo
- Publication number
- CN117891288B CN117891288B CN202410058559.3A CN202410058559A CN117891288B CN 117891288 B CN117891288 B CN 117891288B CN 202410058559 A CN202410058559 A CN 202410058559A CN 117891288 B CN117891288 B CN 117891288B
- Authority
- CN
- China
- Prior art keywords
- transformer
- tested
- air
- interference
- time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001816 cooling Methods 0.000 title claims abstract description 145
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 14
- 230000033228 biological regulation Effects 0.000 claims abstract description 33
- 230000008859 change Effects 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 10
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 230000008569 process Effects 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 23
- 238000006243 chemical reaction Methods 0.000 claims description 11
- 238000010276 construction Methods 0.000 claims description 9
- 230000017525 heat dissipation Effects 0.000 abstract description 11
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 230000009471 action Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/20—Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The invention relates to the technical field of transformer air cooling control, in particular to an artificial intelligence-based transformer air cooling control system, which comprises an air cooling adjustment dynamic value acquisition module, wherein the air cooling adjustment dynamic value acquisition module generates opposite impact interference coefficients of a transformer to be tested at different times according to interference characteristic information of each air cooling interference source corresponding to the transformer to be tested and environmental information around the transformer to be tested; and combining the data change trend of the air cooling demand characteristic information of the transformer to be tested in the historical database to obtain the air cooling regulation dynamic value of the transformer to be tested. When the control of the on-off state of the air cooling is realized by monitoring the running state of the transformer, the running information of equipment and the influence of the surrounding environment on the heat dissipation requirement of the air cooling device are considered, so that the self-adaptive regulation of the air cooling is realized; meanwhile, the invention can assist an administrator to make a constant speed control decision of the rotating speed of the transformer fan to be tested according to the fluctuation condition of the rotating speed of the fan in the air cooling adjusting process.
Description
Technical Field
The invention relates to the technical field of transformer air cooling control, in particular to an artificial intelligence-based transformer air cooling control system.
Background
Along with the promotion of the construction of the intelligent power grid in China, the transformer is used as key equipment for the construction of the intelligent power grid, the market prospect is wide, meanwhile, the requirements of the market on the transformer are improved, the performance requirements of the transformer are continuously improved, and particularly, an air cooling device for accelerating the heat dissipation of the transformer is used for controlling the air cooling, so that the problem to be solved is urgent in the current power industry;
in the existing transformer air cooling control system based on artificial intelligence, the on-off state of air cooling is often controlled by monitoring the running state of a transformer, and the corresponding air cooling state of the transformer in the running state is kept on; however, the method has a large defect that the corresponding heat dissipation power (fan rotating speed) of the air cooling device is always constant and preset for an administrator in advance, the influence of the operation information of equipment and the surrounding environment on the heat dissipation requirement of the air cooling device is not considered, and the self-adaptive adjustment of the air cooling cannot be realized; under normal conditions, the heat dissipation power of the air cooling device is too low, so that the heat dissipation of the transformer is not timely, and the service life of the transformer is easily influenced; the heat dissipation power of the air cooling device is too high, and energy waste is caused.
Disclosure of Invention
The invention aims to provide an artificial intelligence-based transformer air cooling control system so as to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: an artificial intelligence-based transformer air cooling control system comprises an air cooling demand characteristic generation module, a three-dimensional model construction module, an air cooling interference characteristic analysis module, an air cooling adjustment dynamic value acquisition module and an adjustment management module,
The air cooling demand characteristic generation module acquires operation data of the transformer to be tested and surrounding environment information of the transformer to be tested in real time through the sensor, and generates air cooling demand characteristic information of the transformer to be tested;
The three-dimensional model construction module constructs a space model of a space region taking the center of the transformer to be tested as a base point and taking a unit distance as a radius; the unit distance is a constant preset in a database;
The air-cooled interference characteristic analysis module acquires distribution positions in a space model where the transformer to be tested is located, locks each air-cooled interference source of the transformer to be tested in the space model, and acquires interference characteristic information of each air-cooled interference source corresponding to the transformer to be tested;
The air cooling regulation dynamic value acquisition module generates opposite impact interference coefficients of the transformer to be tested at different times according to the interference characteristic information of each air cooling interference source corresponding to the transformer to be tested and the surrounding environment information of the transformer to be tested; combining the data change trend of the air cooling demand characteristic information of the transformer to be tested in the historical database to obtain an air cooling regulation dynamic value of the transformer to be tested;
The adjusting management module dynamically adjusts the rotating speed of the fan of the transformer to be tested in real time according to the air-cooling adjusting dynamic value of the transformer to be tested; and according to the dynamic regulation fluctuation quantity in unit time, abnormal fluctuation feedback is carried out on the administrator, wherein the unit time is a preset constant in the database.
Further, when the air cooling demand characteristic generating module generates air cooling demand characteristic information of the transformer to be tested, the air cooling demand characteristic information corresponding to the transformer to be tested At time t is recorded as at= { AYt, AHt }, wherein AYt represents operation data of the transformer to be tested, which is acquired by the sensor At time t; AHt represents environmental information of the periphery of the transformer to be tested, which is acquired by the sensor at time t;
the operation data of the transformer to be tested comprises continuous working time of the corresponding transformer and average operation power of the corresponding transformer in the continuous working time;
The environmental information of the periphery of the transformer to be measured comprises an average value of actual air temperatures corresponding to corresponding time in a first unit distance of the transformer to be measured and air temperatures corresponding to corresponding time in a region where the transformer to be measured is located in weather forecast, and the first unit distance is a preset constant in a database.
The invention considers the characteristic information of the air cooling requirement, and provides data reference for obtaining the air cooling regulation dynamic value of the transformer to be tested in the subsequent steps and generating the opposite impact interference coefficients of the transformer to be tested at different times.
Further, the air-cooled interference characteristic analysis module comprises an air-cooled interference source locking unit and an interference characteristic information acquisition unit,
The air cooling interference source locking unit takes each transformer except the transformer to be tested as an alternative air cooling interference source in the space model corresponding to the transformer to be tested in the space model constructing unit; combining the running states of the alternative air-cooling interference sources at the current time, and locking the air-cooling interference sources in the obtained alternative air-cooling interference sources and the influence association chains corresponding to each air-cooling interference source;
The interference characteristic information acquisition unit is used for acquiring interference characteristic information corresponding to each air-cooled interference source corresponding to the transformer to be tested;
And the interference characteristic information corresponding to the air-cooled interference source is obtained through the air-cooled demand characteristic information of the transformer corresponding to each link point on the influence correlation chain of the corresponding air-cooled interference source.
According to the invention, through the spatial position of the transformer to be tested, the corresponding alternative air-cooled interference sources are locked (the peripheral alternative air-cooled interference sources are limited by distance, the heat dissipation of the transformer corresponding to the alternative air-cooled interference source with the short distance can generate the inhibition effect on the air-cooled heat dissipation of the transformer to be tested during operation), the relevance among the operation data of the alternative air-cooled interference sources in the historical data is analyzed, the influence relevance chain corresponding to each air-cooled interference source is constructed, and the data support is provided for generating the opposite impact interference coefficients of the transformer to be tested at different times in the subsequent steps.
Further, when the air cooling interference source locking unit locks the air cooling interference source in the obtained alternative air cooling interference sources and the influence association chain corresponding to each air cooling interference source, each transformer which is kept in an operation state at the current time in each obtained alternative air cooling interference source is used as one air cooling interference source of the transformer to be tested; the obtained ith air-cooled interference source is marked as Bi;
Obtaining the association relation between Bi and a transformer to be analyzed, and obtaining an association index between Bi and the transformer to be analyzed, which is ZBi, wherein the transformer to be analyzed is a transformer corresponding to any alternative air-cooled interference source which is not Bi in the obtained alternative air-cooled interference sources;
said ZBi = T { Qi } n QF }/T { Qi }, q },
Wherein Qi represents a time interval when the Bi-corresponding transformer in the history data is in an operating state; QF represents a time interval when the transformer to be analyzed in the historical data is in an operating state; t { Qi } is equal to the corresponding time length of the intersection of Qi and QF; t { Qi } is equal to QF } and represents the corresponding duration of the subsequent time interval from the initial reference point in the union of Qi and QF; the initial reference point is the minimum time point in the time interval corresponding to the intersection of Qi and QF;
All the alternative air-cooling interference sources with the association index between Bi and the Bi being larger than or equal to a first preset value are used as chain link points in the influence association chain corresponding to Bi, and the chain link points in the influence association chain corresponding to Bi comprise Bi; the interference characteristic information of Bi corresponding to the transformer to be tested is the working state of the corresponding transformer in a time interval from the minimum value of the corresponding initial reference point to the current time of each chain node in the associated chain of the influence corresponding to Bi, and the working state is the operating power of the corresponding transformer when the working state is the operating state, and the working state comprises the operating state and the idle state.
When the invention constructs the influence association chains corresponding to each air-cooling interference source, each influence association chain comprises one or more alternative air-cooling interference sources/air-cooling interference sources, and intersections possibly existing in different influence association chains are not empty sets.
Further, the air cooling adjusting dynamic value obtaining module comprises an opposite impact interference coefficient analyzing unit and a dynamic adjusting analyzing unit,
The opposite impact interference coefficient analysis unit is used for generating opposite impact interference coefficients of the transformer to be tested at different times according to the interference characteristic information of each air-cooled interference source corresponding to the transformer to be tested and the surrounding environment information of the transformer to be tested;
The dynamic adjustment analysis unit combines the data change trend of the air cooling demand characteristic information of the transformer to be tested in the historical database to obtain an air cooling adjustment dynamic value of the transformer to be tested;
When the opposite impact interference coefficient analysis unit generates opposite impact interference coefficients of the transformer to be tested at different times, the opposite impact interference coefficient analysis unit generates opposite impact interference coefficients of the transformer to be tested at different times and is recorded as dc;
wherein i1 represents the total number of air-cooled interference sources corresponding to the transformer to be tested; ui represents the total number of the air-cooled interference sources of the transformer to be tested contained in an influence correlation chain corresponding to the ith air-cooled interference source of the transformer to be tested; di represents interference characteristic information corresponding to Bi and an opposite impact interference value generated by the transformer to be tested;
TQi represents a time interval corresponding to data in the interference characteristic information corresponding to Bi; dTQi denotes an interval length of the time interval corresponding to TQi; min { TQi } represents the minimum in TQi; max { TQi } represents the maximum value in TQi;
Beta represents a conversion coefficient and beta is a constant preset in a database; ji represents the total number of chain link points in the associated chain correspondingly affected by Bi;
gt1 (Bi,j) represents the operation power of the corresponding transformer at time t1 of the jth chain link point in the influence associated chain corresponding to Bi in the interference characteristic information corresponding to Bi; the operation power of the transformer with the working state being the idle state is recorded as 0;
L (Bi,j) represents the shortest distance between the transformer corresponding to the jth chain link point in the influence correlation chain corresponding to Bi and the transformer to be tested.
Further, when the dynamic adjustment analysis unit obtains an air cooling adjustment dynamic value of the transformer to be measured, acquiring a data change trend of air cooling demand characteristic information of the transformer to be measured in a historical database, wherein the obtained data change trend is a coordinate point formed by taking time as an x axis and taking a difference value between an average value of actual air temperature of each time point and an air temperature corresponding to a corresponding time of a region where the transformer to be measured is located in weather forecast as a y axis in a time interval corresponding to continuous working time length of the transformer to be measured;
The dynamic value of air-cooling regulation of the transformer to be measured is recorded as R,
R=w1·dr+w2·dc,
Wherein dr represents the slope of the position of the mark point corresponding to the time point with the shortest time interval with the current time in the corresponding fitting curve;
w1 represents a first adjustment conversion coefficient, w2 represents a second adjustment conversion coefficient, and w1 and w2 are constants preset in the database.
Further, the regulation management module comprises a regulation control unit and an abnormal feedback unit,
The adjusting control unit dynamically adjusts the rotating speed of the fan of the transformer to be tested in real time according to the air-cooling adjusting dynamic value of the transformer to be tested;
the abnormal feedback unit carries out abnormal fluctuation feedback on an administrator according to the dynamic regulation fluctuation amount in unit time;
The adjusting control unit obtains the fan rotating speed of the built-in fan of the transformer to be measured at the latest time point when dynamically adjusting the fan rotating speed of the transformer to be measured in real time, and records the fan rotating speed as V; acquiring a preset upper limit of the fan rotating speed of the built-in fan of the transformer to be tested in a database, and marking the upper limit as V1;
If (1+R). V is more than or equal to V1, judging that the fan rotating speed of the transformer to be tested is V1 after the adjusting control unit dynamically adjusts the fan rotating speed at the current time;
If V2 is less than or equal to (1+R). V is less than V1, judging that the fan rotating speed of the adjusting control unit dynamically adjusts the fan rotating speed of the transformer to be tested at the current time is (1+R). V;
If (1+R). V is less than V2, judging that the fan rotating speed of the transformer to be tested is V2 after the adjusting control unit dynamically adjusts the fan rotating speed of the transformer to be tested at the current time, wherein V2 represents the lower limit of the fan rotating speed of the built-in fan of the transformer to be tested in a preset running state in a database;
When the working state of the transformer to be tested is an idle state, the rotating speed of a fan arranged in the transformer to be tested is 0; when the working state of the transformer to be tested is the running state, the fan rotating speed of the built-in fan of the transformer to be tested belongs to the interval V2 and V1, and in the process that the working state of the transformer to be tested is switched from the idle state to the running state, the initial fan rotating speed of the built-in fan of the transformer to be tested is V2.
Further, when the regulation management module carries out abnormal fluctuation feedback on an administrator, a function of the change of the fan rotating speed of the transformer to be measured along with time in the latest unit time based on the current time is obtained and recorded as H (t 2), and t2 belongs to a time interval corresponding to the latest unit time based on the current time; the dynamic regulation fluctuation quantity of the transformer to be measured in the corresponding unit time is obtained and is marked as E,
The said
Wherein H1 represents a point corresponding to a maximum function value in a function H (t 2) of the transformer to be tested in a corresponding unit time; h2 represents the point corresponding to the minimum function value in the function H (t 2) of the transformer to be tested in the corresponding unit time; if the maximum function value and the minimum function value in the function H (t 2) of the transformer to be tested are the same in the corresponding unit time, H1 represents a coordinate point corresponding to the t2 in the function H (t 2) when the maximum time point of the transformer to be tested is in the corresponding unit time, and H2 represents a coordinate point corresponding to the t2 in the function H (t 2) when the t2 is the minimum time point of the transformer to be tested is in the corresponding unit time; HL (t 2) represents a function corresponding to a connection between H2 and H1; t2H1 represents a time point in H1; t2H2 represents a time point in H2;
When E is more than or equal to r1, judging that abnormal fluctuation exists in the regulation of the fan rotating speed of the transformer to be tested in the latest unit time based on the current time, feeding back early warning to an administrator, and assisting the administrator in carrying out the constant speed control decision of the fan rotating speed of the transformer to be tested;
When E is less than r1, judging that abnormal fluctuation does not exist in the adjustment of the rotating speed of the fan in the latest unit time based on the current time of the transformer to be measured, and feeding back early warning to an administrator is not needed.
The invention carries out abnormal fluctuation feedback on an administrator, which is to consider the problem of influence of frequent fluctuation of the fan rotating speed of the air cooling device of the transformer to be tested on the service life of the air cooling device, default the adjusting mode with abnormal fluctuation to be the frequent switching condition of the fan rotating speed, and in this case, the feedback is carried out on the administrator to assist the administrator to carry out the constant speed control decision of the fan rotating speed of the transformer to be tested (remind the administrator whether the rotating speed adjusting mode of the fan needs to be adjusted in a short term (which can be preset manually), the self-adaptive adjusting mode is adjusted to be a control mode with fixed speed, or remind the administrator whether the first adjusting conversion coefficient and the second adjusting conversion coefficient in a database need to be updated.
Compared with the prior art, the invention has the following beneficial effects: when the control of the on-off state of the air cooling is realized by monitoring the running state of the transformer, the running information of equipment and the influence of the surrounding environment on the heat dissipation requirement of the air cooling device are considered, so that the self-adaptive regulation of the air cooling is realized; the heat dissipation effect of the transformer to be tested can be ensured, the service life of the transformer to be tested is prolonged, and energy sources can be saved to a certain extent; meanwhile, the invention can assist an administrator to make a constant speed control decision of the rotating speed of the transformer fan to be tested according to the fluctuation condition of the rotating speed of the fan in the air cooling adjusting process.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of an artificial intelligence based transformer air cooling control system.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: an artificial intelligence-based transformer air cooling control system comprises an air cooling demand characteristic generation module, a three-dimensional model construction module, an air cooling interference characteristic analysis module, an air cooling adjustment dynamic value acquisition module and an adjustment management module,
The air cooling demand characteristic generation module acquires operation data of the transformer to be tested and surrounding environment information of the transformer to be tested in real time through the sensor, and generates air cooling demand characteristic information of the transformer to be tested;
When the air cooling demand characteristic generating module generates air cooling demand characteristic information of the transformer to be tested, the air cooling demand characteristic information corresponding to the transformer to be tested At time t is recorded as at= { AYt, AHt }, wherein AYt represents operation data of the transformer to be tested, which is acquired by the sensor At time t; AHt represents environmental information of the periphery of the transformer to be tested, which is acquired by the sensor at time t;
the operation data of the transformer to be tested comprises continuous working time of the corresponding transformer and average operation power of the corresponding transformer in the continuous working time;
The environmental information of the periphery of the transformer to be measured comprises an average value of actual air temperatures corresponding to corresponding time in a first unit distance of the transformer to be measured and air temperatures corresponding to corresponding time in a region where the transformer to be measured is located in weather forecast, and the first unit distance is a preset constant in a database.
The three-dimensional model construction module constructs a space model of a space region taking the center of the transformer to be tested as a base point and taking a unit distance as a radius; the unit distance is a constant preset in a database; the construction of the space model in the embodiment is realized by a three-dimensional scanner;
The air-cooled interference characteristic analysis module acquires distribution positions in a space model where the transformer to be tested is located, locks each air-cooled interference source of the transformer to be tested in the space model, and acquires interference characteristic information of each air-cooled interference source corresponding to the transformer to be tested;
The air-cooled interference characteristic analysis module comprises an air-cooled interference source locking unit and an interference characteristic information acquisition unit,
The air cooling interference source locking unit takes each transformer except the transformer to be tested as an alternative air cooling interference source in the space model corresponding to the transformer to be tested in the space model constructing unit; combining the running states of the alternative air-cooling interference sources at the current time, and locking the air-cooling interference sources in the obtained alternative air-cooling interference sources and the influence association chains corresponding to each air-cooling interference source;
The interference characteristic information acquisition unit is used for acquiring interference characteristic information corresponding to each air-cooled interference source corresponding to the transformer to be tested;
And the interference characteristic information corresponding to the air-cooled interference source is obtained through the air-cooled demand characteristic information of the transformer corresponding to each link point on the influence correlation chain of the corresponding air-cooled interference source.
When the air cooling interference source locking unit locks the air cooling interference sources in the obtained alternative air cooling interference sources and the influence association chains corresponding to each air cooling interference source, each transformer which is kept in an operating state at the current time in each obtained alternative air cooling interference source is used as one air cooling interference source of the transformer to be tested; the obtained ith air-cooled interference source is marked as Bi;
Obtaining the association relation between Bi and a transformer to be analyzed, and obtaining an association index between Bi and the transformer to be analyzed, which is ZBi, wherein the transformer to be analyzed is a transformer corresponding to any alternative air-cooled interference source which is not Bi in the obtained alternative air-cooled interference sources;
said ZBi = T { Qi } n QF }/T { Qi }, q },
Wherein Qi represents a time interval when the Bi-corresponding transformer in the history data is in an operating state; QF represents a time interval when the transformer to be analyzed in the historical data is in an operating state; t { Qi } is equal to the corresponding time length of the intersection of Qi and QF; t { Qi } is equal to QF } and represents the corresponding duration of the subsequent time interval from the initial reference point in the union of Qi and QF; the initial reference point is the minimum time point in the time interval corresponding to the intersection of Qi and QF;
In this embodiment, if Qi corresponds to a time interval of [ tr1, tr2], and QF corresponds to a time interval of [ tr3, tr4];
If Qi ∈qf= [ tr3, tr2], qi ∈qf= [ tr1, tr4],
If tr1 is less than tr3 is less than tr2 is less than tr4;
The initial reference point is tr3, T { Qi } QF } = tr2-tr3; t { Qi } = QF } = tr4-tr3;
All the alternative air-cooling interference sources with the association index between Bi and the Bi being larger than or equal to a first preset value are used as chain link points in the influence association chain corresponding to Bi, and the chain link points in the influence association chain corresponding to Bi comprise Bi; the interference characteristic information of Bi corresponding to the transformer to be tested is the working state of the corresponding transformer in a time interval from the minimum value of the corresponding initial reference point to the current time of each chain node in the associated chain of the influence corresponding to Bi, and the working state is the operating power of the corresponding transformer when the working state is the operating state, and the working state comprises the operating state and the idle state.
In this embodiment, the number of influence related chains corresponding to the to-be-tested transformer is the same as the number of air-cooled interference sources corresponding to the to-be-tested transformer, and the link point structures in the two influence related chains corresponding to the to-be-tested transformer may be the same;
And under the condition that the chain link points in the two influence associated chains corresponding to the transformer to be tested are identical, the air cooling interference information corresponding to the two influence associated chains may be different.
The air cooling regulation dynamic value acquisition module generates opposite impact interference coefficients of the transformer to be tested at different times according to the interference characteristic information of each air cooling interference source corresponding to the transformer to be tested and the surrounding environment information of the transformer to be tested; combining the data change trend of the air cooling demand characteristic information of the transformer to be tested in the historical database to obtain an air cooling regulation dynamic value of the transformer to be tested;
the air-cooling adjusting dynamic value acquisition module comprises a hedging interference coefficient analysis unit and a dynamic adjusting analysis unit,
The opposite impact interference coefficient analysis unit is used for generating opposite impact interference coefficients of the transformer to be tested at different times according to the interference characteristic information of each air-cooled interference source corresponding to the transformer to be tested and the surrounding environment information of the transformer to be tested;
The dynamic adjustment analysis unit combines the data change trend of the air cooling demand characteristic information of the transformer to be tested in the historical database to obtain an air cooling adjustment dynamic value of the transformer to be tested;
When the opposite impact interference coefficient analysis unit generates opposite impact interference coefficients of the transformer to be tested at different times, the opposite impact interference coefficient analysis unit generates opposite impact interference coefficients of the transformer to be tested at different times and is recorded as dc;
wherein i1 represents the total number of air-cooled interference sources corresponding to the transformer to be tested; ui represents the total number of the air-cooled interference sources of the transformer to be tested contained in an influence correlation chain corresponding to the ith air-cooled interference source of the transformer to be tested; di represents interference characteristic information corresponding to Bi and an opposite impact interference value generated by the transformer to be tested;
TQi represents a time interval corresponding to data in the interference characteristic information corresponding to Bi; dTQi denotes an interval length of the time interval corresponding to TQi; min { TQi } represents the minimum in TQi; max { TQi } represents the maximum value in TQi;
Beta represents a conversion coefficient and beta is a constant preset in a database; ji represents the total number of chain link points in the associated chain correspondingly affected by Bi;
gt1 (Bi,j) represents the operation power of the corresponding transformer at time t1 of the jth chain link point in the influence associated chain corresponding to Bi in the interference characteristic information corresponding to Bi; the operation power of the transformer with the working state being the idle state is recorded as 0;
L (Bi,j) represents the shortest distance between the transformer corresponding to the jth chain link point in the influence correlation chain corresponding to Bi and the transformer to be tested.
When the dynamic adjustment analysis unit obtains an air cooling adjustment dynamic value of the transformer to be measured, acquiring a data change trend of air cooling demand characteristic information of the transformer to be measured in a historical database, wherein the obtained data change trend is a coordinate point formed by an average value of actual air temperature of the transformer to be measured at each time point and a time-varying fitting curve of an air temperature difference value corresponding to the corresponding time of a region where the transformer to be measured is positioned in weather forecast in a time interval corresponding to continuous working time length, wherein the fitting curve is obtained by connecting adjacent marked points, and the marked points are coordinate points which are formed by taking time as an x axis and taking an average value of the actual air temperature and a y axis as a difference value of the air temperature corresponding to the corresponding time of the region where the transformer to be measured is positioned in weather forecast;
The dynamic value of air-cooling regulation of the transformer to be measured is recorded as R,
R=w1·dr+w2·dc,
Wherein dr represents the slope of the position of the mark point corresponding to the time point with the shortest time interval with the current time in the corresponding fitting curve;
w1 represents a first adjustment conversion coefficient, w2 represents a second adjustment conversion coefficient, and w1 and w2 are constants preset in the database.
The adjusting management module dynamically adjusts the rotating speed of the fan of the transformer to be tested in real time according to the air-cooling adjusting dynamic value of the transformer to be tested; and according to the dynamic regulation fluctuation quantity in unit time, abnormal fluctuation feedback is carried out on the administrator, wherein the unit time is a preset constant in the database.
The regulation management module comprises a regulation control unit and an abnormal feedback unit,
The adjusting control unit dynamically adjusts the rotating speed of the fan of the transformer to be tested in real time according to the air-cooling adjusting dynamic value of the transformer to be tested;
the abnormal feedback unit carries out abnormal fluctuation feedback on an administrator according to the dynamic regulation fluctuation amount in unit time;
The adjusting control unit obtains the fan rotating speed of the built-in fan of the transformer to be measured at the latest time point when dynamically adjusting the fan rotating speed of the transformer to be measured in real time, and records the fan rotating speed as V; acquiring a preset upper limit of the fan rotating speed of the built-in fan of the transformer to be tested in a database, and marking the upper limit as V1;
If (1+R). V is more than or equal to V1, judging that the fan rotating speed of the transformer to be tested is V1 after the adjusting control unit dynamically adjusts the fan rotating speed at the current time;
If V2 is less than or equal to (1+R). V is less than V1, judging that the fan rotating speed of the adjusting control unit dynamically adjusts the fan rotating speed of the transformer to be tested at the current time is (1+R). V;
If (1+R). V is less than V2, judging that the fan rotating speed of the transformer to be tested is V2 after the adjusting control unit dynamically adjusts the fan rotating speed of the transformer to be tested at the current time, wherein V2 represents the lower limit of the fan rotating speed of the built-in fan of the transformer to be tested in a preset running state in a database;
When the working state of the transformer to be tested is an idle state, the rotating speed of a fan arranged in the transformer to be tested is 0; when the working state of the transformer to be tested is the running state, the fan rotating speed of the built-in fan of the transformer to be tested belongs to the interval V2 and V1, and in the process that the working state of the transformer to be tested is switched from the idle state to the running state, the initial fan rotating speed of the built-in fan of the transformer to be tested is V2.
When the regulation management module feeds back abnormal fluctuation to an administrator, a function of change of the fan rotating speed of the transformer to be measured along with time in the latest unit time based on the current time is obtained and is recorded as H (t 2), and t2 belongs to a time interval corresponding to the latest unit time based on the current time; the dynamic regulation fluctuation quantity of the transformer to be measured in the corresponding unit time is obtained and is marked as E,
The said
Wherein H1 represents a point corresponding to a maximum function value in a function H (t 2) of the transformer to be tested in a corresponding unit time; h2 represents the point corresponding to the minimum function value in the function H (t 2) of the transformer to be tested in the corresponding unit time; if the maximum function value and the minimum function value in the function H (t 2) of the transformer to be tested are the same in the corresponding unit time, H1 represents a coordinate point corresponding to the t2 in the function H (t 2) when the maximum time point of the transformer to be tested is in the corresponding unit time, and H2 represents a coordinate point corresponding to the t2 in the function H (t 2) when the t2 is the minimum time point of the transformer to be tested is in the corresponding unit time; HL (t 2) represents a function corresponding to a connection between H2 and H1; t2H1 represents a time point in H1; t2H2 represents a time point in H2;
When E is more than or equal to r1, judging that abnormal fluctuation exists in the regulation of the fan rotating speed of the transformer to be tested in the latest unit time based on the current time, feeding back early warning to an administrator, and assisting the administrator in carrying out the constant speed control decision of the fan rotating speed of the transformer to be tested;
When E is less than r1, judging that abnormal fluctuation does not exist in the adjustment of the rotating speed of the fan in the latest unit time based on the current time of the transformer to be measured, and feeding back early warning to an administrator is not needed.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. An artificial intelligence-based transformer air cooling control system is characterized by comprising an air cooling demand characteristic generation module, a three-dimensional model construction module, an air cooling interference characteristic analysis module, an air cooling adjustment dynamic value acquisition module and an adjustment management module,
The air cooling demand characteristic generation module acquires operation data of the transformer to be tested and surrounding environment information of the transformer to be tested in real time through the sensor, and generates air cooling demand characteristic information of the transformer to be tested;
When the air cooling demand characteristic generating module generates air cooling demand characteristic information of the transformer to be tested, the air cooling demand characteristic information corresponding to the transformer to be tested At time t is recorded as at= { AYt, AHt }, wherein AYt represents operation data of the transformer to be tested, which is acquired by the sensor At time t; AHt represents environmental information of the periphery of the transformer to be tested, which is acquired by the sensor at time t;
the operation data of the transformer to be tested comprises continuous working time of the corresponding transformer and average operation power of the corresponding transformer in the continuous working time;
The environmental information of the periphery of the transformer to be measured comprises an average value of actual air temperatures corresponding to corresponding times in a first unit distance of the transformer to be measured and air temperatures corresponding to corresponding times in a region where the transformer to be measured is located in weather forecast, wherein the first unit distance is a preset constant in a database;
The three-dimensional model construction module constructs a space model of a space region taking the center of the transformer to be tested as a base point and taking a unit distance as a radius; the unit distance is a constant preset in a database;
The air-cooled interference characteristic analysis module acquires distribution positions in a space model where the transformer to be tested is located, locks each air-cooled interference source of the transformer to be tested in the space model, and acquires interference characteristic information of each air-cooled interference source corresponding to the transformer to be tested;
The air cooling regulation dynamic value acquisition module generates opposite impact interference coefficients of the transformer to be tested at different times according to the interference characteristic information of each air cooling interference source corresponding to the transformer to be tested and the surrounding environment information of the transformer to be tested; combining the data change trend of the air cooling demand characteristic information of the transformer to be tested in the historical database to obtain an air cooling regulation dynamic value of the transformer to be tested;
the air-cooling adjusting dynamic value acquisition module comprises a hedging interference coefficient analysis unit and a dynamic adjusting analysis unit,
The opposite impact interference coefficient analysis unit is used for generating opposite impact interference coefficients of the transformer to be tested at different times according to the interference characteristic information of each air-cooled interference source corresponding to the transformer to be tested and the surrounding environment information of the transformer to be tested;
The dynamic adjustment analysis unit combines the data change trend of the air cooling demand characteristic information of the transformer to be tested in the historical database to obtain an air cooling adjustment dynamic value of the transformer to be tested;
When the opposite impact interference coefficient analysis unit generates opposite impact interference coefficients of the transformer to be tested at different times, the opposite impact interference coefficient analysis unit generates opposite impact interference coefficients of the transformer to be tested at different times and is recorded as dc;
wherein i1 represents the total number of air-cooled interference sources corresponding to the transformer to be tested; ui represents the total number of the air-cooled interference sources of the transformer to be tested contained in an influence correlation chain corresponding to the ith air-cooled interference source of the transformer to be tested; di represents interference characteristic information corresponding to Bi and an opposite impact interference value generated by the transformer to be tested;
TQi represents a time interval corresponding to data in the interference characteristic information corresponding to Bi; dTQi denotes an interval length of the time interval corresponding to TQi; min { TQi } represents the minimum in TQi; max { TQi } represents the maximum value in TQi;
Beta represents a conversion coefficient and beta is a constant preset in a database; ji represents the total number of chain link points in the associated chain correspondingly affected by Bi;
gt1 (Bi,j) represents the operation power of the corresponding transformer at time t1 of the jth chain link point in the influence associated chain corresponding to Bi in the interference characteristic information corresponding to Bi; the operation power of the transformer with the working state being the idle state is recorded as 0;
L (Bi,j) represents the shortest distance between the transformer corresponding to the jth chain link point in the influence correlation chain corresponding to Bi and the transformer to be tested;
The adjusting management module dynamically adjusts the rotating speed of the fan of the transformer to be tested in real time according to the air-cooling adjusting dynamic value of the transformer to be tested; abnormal fluctuation feedback is carried out on an administrator according to the dynamic fluctuation amount in unit time, wherein the unit time is a preset constant in a database;
When the regulation management module feeds back abnormal fluctuation to an administrator, a function of change of the fan rotating speed of the transformer to be measured along with time in the latest unit time based on the current time is obtained and is recorded as H (t 2), and t2 belongs to a time interval corresponding to the latest unit time based on the current time; the dynamic regulation fluctuation quantity of the transformer to be measured in the corresponding unit time is obtained and is marked as E,
The said
Wherein H1 represents a point corresponding to a maximum function value in a function H (t 2) of the transformer to be tested in a corresponding unit time; h2 represents the point corresponding to the minimum function value in the function H (t 2) of the transformer to be tested in the corresponding unit time; if the maximum function value and the minimum function value in the function H (t 2) of the transformer to be tested are the same in the corresponding unit time, H1 represents a coordinate point corresponding to the t2 in the function H (t 2) when the maximum time point of the transformer to be tested is in the corresponding unit time, and H2 represents a coordinate point corresponding to the t2 in the function H (t 2) when the t2 is the minimum time point of the transformer to be tested is in the corresponding unit time; HL (t 2) represents a function corresponding to a connection between H2 and H1; t2H1 represents a time point in H1; t2H2 represents a time point in H2;
When E is more than or equal to r1, judging that abnormal fluctuation exists in the regulation of the fan rotating speed of the transformer to be tested in the latest unit time based on the current time, feeding back early warning to an administrator, and assisting the administrator in carrying out the constant speed control decision of the fan rotating speed of the transformer to be tested;
When E is less than r1, judging that abnormal fluctuation does not exist in the adjustment of the rotating speed of the fan in the latest unit time based on the current time of the transformer to be measured, and feeding back early warning to an administrator is not needed.
2. The artificial intelligence based transformer air cooling control system of claim 1, wherein: the air-cooled interference characteristic analysis module comprises an air-cooled interference source locking unit and an interference characteristic information acquisition unit,
The air cooling interference source locking unit takes each transformer except the transformer to be tested as an alternative air cooling interference source in the space model corresponding to the transformer to be tested in the space model constructing unit; combining the running states of the alternative air-cooling interference sources at the current time, and locking the air-cooling interference sources in the obtained alternative air-cooling interference sources and the influence association chains corresponding to each air-cooling interference source;
The interference characteristic information acquisition unit is used for acquiring interference characteristic information corresponding to each air-cooled interference source corresponding to the transformer to be tested;
And the interference characteristic information corresponding to the air-cooled interference source is obtained through the air-cooled demand characteristic information of the transformer corresponding to each link point on the influence correlation chain of the corresponding air-cooled interference source.
3. The artificial intelligence based transformer air cooling control system according to claim 2, wherein: when the air cooling interference source locking unit locks the air cooling interference sources in the obtained alternative air cooling interference sources and the influence association chains corresponding to each air cooling interference source, each transformer which is kept in an operating state at the current time in each obtained alternative air cooling interference source is used as one air cooling interference source of the transformer to be tested; the obtained ith air-cooled interference source is marked as Bi;
Obtaining the association relation between Bi and a transformer to be analyzed, and obtaining an association index between Bi and the transformer to be analyzed, which is ZBi, wherein the transformer to be analyzed is a transformer corresponding to any alternative air-cooled interference source which is not Bi in the obtained alternative air-cooled interference sources;
said ZBi = T { Qi } n QF }/T { Qi }, q },
Wherein Qi represents a time interval when the Bi-corresponding transformer in the history data is in an operating state; QF represents a time interval when the transformer to be analyzed in the historical data is in an operating state; t { Qi } is equal to the corresponding time length of the intersection of Qi and QF; t { Qi } is equal to QF } and represents the corresponding duration of the subsequent time interval from the initial reference point in the union of Qi and QF; the initial reference point is the minimum time point in the time interval corresponding to the intersection of Qi and QF;
All the alternative air-cooling interference sources with the association index between Bi and the Bi being larger than or equal to a first preset value are used as chain link points in the influence association chain corresponding to Bi, and the chain link points in the influence association chain corresponding to Bi comprise Bi; the interference characteristic information of Bi corresponding to the transformer to be tested is the working state of the corresponding transformer in a time interval from the minimum value of the corresponding initial reference point to the current time of each chain node in the associated chain of the influence corresponding to Bi, and the working state is the operating power of the corresponding transformer when the working state is the operating state, and the working state comprises the operating state and the idle state.
4. The artificial intelligence based transformer air cooling control system of claim 1, wherein: when the dynamic adjustment analysis unit obtains an air cooling adjustment dynamic value of the transformer to be measured, acquiring a data change trend of air cooling demand characteristic information of the transformer to be measured in a historical database, wherein the obtained data change trend is a coordinate point formed by an average value of actual air temperature of the transformer to be measured at each time point and a time-varying fitting curve of an air temperature difference value corresponding to the corresponding time of a region where the transformer to be measured is positioned in weather forecast in a time interval corresponding to continuous working time length, wherein the fitting curve is obtained by connecting adjacent marked points, and the marked points are coordinate points which are formed by taking time as an x axis and taking an average value of the actual air temperature and a y axis as a difference value of the air temperature corresponding to the corresponding time of the region where the transformer to be measured is positioned in weather forecast;
The dynamic value of air-cooling regulation of the transformer to be measured is recorded as R,
R=w1·dr+w2·dc,
Wherein dr represents the slope of the position of the mark point corresponding to the time point with the shortest time interval with the current time in the corresponding fitting curve;
w1 represents a first adjustment conversion coefficient, w2 represents a second adjustment conversion coefficient, and w1 and w2 are constants preset in the database.
5. The artificial intelligence based transformer air cooling control system according to claim 4, wherein: the regulation management module comprises a regulation control unit and an abnormal feedback unit,
The adjusting control unit dynamically adjusts the rotating speed of the fan of the transformer to be tested in real time according to the air-cooling adjusting dynamic value of the transformer to be tested;
the abnormal feedback unit carries out abnormal fluctuation feedback on an administrator according to the dynamic regulation fluctuation amount in unit time;
The adjusting control unit obtains the fan rotating speed of the built-in fan of the transformer to be measured at the latest time point when dynamically adjusting the fan rotating speed of the transformer to be measured in real time, and records the fan rotating speed as V; acquiring a preset upper limit of the fan rotating speed of the built-in fan of the transformer to be tested in a database, and marking the upper limit as V1;
If (1+R). V is more than or equal to V1, judging that the fan rotating speed of the transformer to be tested is V1 after the adjusting control unit dynamically adjusts the fan rotating speed at the current time;
If V2 is less than or equal to (1+R). V is less than V1, judging that the fan rotating speed of the adjusting control unit dynamically adjusts the fan rotating speed of the transformer to be tested at the current time is (1+R). V;
If (1+R). V is less than V2, judging that the fan rotating speed of the transformer to be tested is V2 after the adjusting control unit dynamically adjusts the fan rotating speed of the transformer to be tested at the current time, wherein V2 represents the lower limit of the fan rotating speed of the built-in fan of the transformer to be tested in a preset running state in a database;
When the working state of the transformer to be tested is an idle state, the rotating speed of a fan arranged in the transformer to be tested is 0; when the working state of the transformer to be tested is the running state, the fan rotating speed of the built-in fan of the transformer to be tested belongs to the interval V2 and V1, and in the process that the working state of the transformer to be tested is switched from the idle state to the running state, the initial fan rotating speed of the built-in fan of the transformer to be tested is V2.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410058559.3A CN117891288B (en) | 2024-01-16 | 2024-01-16 | Transformer air-cooling control system based on artificial intelligence |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202410058559.3A CN117891288B (en) | 2024-01-16 | 2024-01-16 | Transformer air-cooling control system based on artificial intelligence |
Publications (2)
Publication Number | Publication Date |
---|---|
CN117891288A CN117891288A (en) | 2024-04-16 |
CN117891288B true CN117891288B (en) | 2024-06-28 |
Family
ID=90650607
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202410058559.3A Active CN117891288B (en) | 2024-01-16 | 2024-01-16 | Transformer air-cooling control system based on artificial intelligence |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117891288B (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102713780A (en) * | 2009-11-18 | 2012-10-03 | 速度控制有限责任公司 | Controller for automatic control and optimization of duty cycled HVAC&R equipment, and systems and methods using same |
CN103049020A (en) * | 2012-12-20 | 2013-04-17 | 南京五石金传感技术有限公司 | Optical fiber temperature controller of dry type transformer |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104377702A (en) * | 2014-11-19 | 2015-02-25 | 上海电力学院 | Reversible adjustment dynamic voltage adjuster |
KR102017889B1 (en) * | 2019-03-25 | 2019-09-03 | 임채율 | Fan filter unit monitoring system |
CN117032415B (en) * | 2023-06-29 | 2024-01-30 | 兴容(上海)信息技术股份有限公司 | Equipment data supervision system and method based on temperature change |
CN116971974B (en) * | 2023-07-25 | 2024-03-26 | 湖南万盟环境科技有限公司 | Self-adaptive regulation and control method and system for variable-working-condition reciprocating compressor |
-
2024
- 2024-01-16 CN CN202410058559.3A patent/CN117891288B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102713780A (en) * | 2009-11-18 | 2012-10-03 | 速度控制有限责任公司 | Controller for automatic control and optimization of duty cycled HVAC&R equipment, and systems and methods using same |
CN103049020A (en) * | 2012-12-20 | 2013-04-17 | 南京五石金传感技术有限公司 | Optical fiber temperature controller of dry type transformer |
Also Published As
Publication number | Publication date |
---|---|
CN117891288A (en) | 2024-04-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111795488B (en) | An intelligent control system and method for the temperature of a distributed computer room | |
CN104049600B (en) | With the system and method for the energy information renewal the value of the confidence related to automated system | |
US9842372B2 (en) | Systems and methods for controlling assets using energy information determined with an organizational model of an industrial automation system | |
CN117171590B (en) | Intelligent driving optimization method and system for motor | |
CN117807398A (en) | Intelligent die management and control system based on data analysis | |
US9911163B2 (en) | Systems and methods for determining energy information using an organizational model of an industrial automation system | |
CN118915890B (en) | Intelligent monitoring management system based on data analysis | |
CN117891288B (en) | Transformer air-cooling control system based on artificial intelligence | |
CN119763301A (en) | Cable fault early warning method and system based on GIS | |
CN117596265A (en) | Temperature measurement terminal data monitoring system and method based on wireless communication technology | |
CN117194904A (en) | Integrated thermal management system based on data analysis | |
CN111290267B (en) | Thermal power model identification device and identification method based on LabVIEW | |
LU508626B1 (en) | Unit protection method and system based on carbon brush wear signals | |
CN119047802B (en) | Equipment scheduling method and system for automated production workshop | |
CN117674301B (en) | Comprehensive energy control method based on neural network | |
US9501804B2 (en) | Multi-core processor for performing energy-related operations in an industrial automation system using energy information determined with an organizational model of the industrial automation system | |
CN117933644A (en) | Large-load line demand analysis system based on power operation and maintenance application | |
CN117663184A (en) | Pulverized coal energy-saving combustion equipment and control system | |
CN117646935A (en) | Multifunctional air source heat pump control method and system | |
CN119067321B (en) | Intelligent power consumption monitoring system for security equipment suitable for public security equipment maintenance | |
CN119518773B (en) | An automated stable control method and platform for complex working condition power systems | |
CN118331344B (en) | Thermal management control method and system for mobile energy storage power supply | |
CN115129100B (en) | Multi-point real-time monitoring system suitable for edible fungi factory cultivation facility environment | |
CN118836525B (en) | Intelligent building energy management system based on Internet of things | |
CN116976153B (en) | Marine wind farm booster station site selection method based on integrated model |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |