CN114675106A - Smart grid power data processing and analyzing method, device and storage medium - Google Patents
Smart grid power data processing and analyzing method, device and storage medium Download PDFInfo
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Abstract
The invention discloses a method, equipment and a storage medium for processing and analyzing power data of an intelligent power grid, which analyze the running power state index of each transformer in a target power transmission grid by monitoring the running power parameters of each transformer in the target power transmission grid in real time, screen the power state running fault type corresponding to each fault transformer in the target power transmission grid, screen and match the target maintenance personnel corresponding to each fault transformer in the target power transmission grid, simultaneously manage the target maintenance personnel corresponding to each fault transformer and carry out corresponding maintenance treatment measures after receiving the maintenance start information of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid, thereby realizing the efficient and reasonable distribution of maintenance tasks for the maintenance personnel, and greatly improving the fault maintenance efficiency and the fault maintenance progress of the transformers of the power transmission grid, and further, the safe power supply of the power transmission grid is guaranteed.
Description
Technical Field
The invention relates to the field of power grid power data analysis, in particular to a smart power grid power data processing and analyzing method, a device and a storage medium.
Background
The power transformer is one of important electrical equipment in a transmission power grid, and the safe operation of the transformer in the transmission power grid is directly related to the normal power supply of the power grid. The running power parameter data of the transformer can timely and accurately reflect the running power state of the transformer, so that the running power parameter monitoring data of the transformer is analyzed and processed, accidents can be effectively prevented, and the method has great significance for guaranteeing the stable running of a power transmission grid.
In the process of analyzing and processing transformer operation power parameter monitoring data, transformer operation power parameters need to be monitored, but the existing transformer operation power parameter monitoring basically adopts a regular monitoring mode, and the mode has hysteresis of monitoring information, so that the targeted processing cannot be timely and effectively carried out after the transformer has instantaneous power failure, the safe power supply guarantee of a power transmission grid is influenced, the power failure time of a power transmission grid coverage area is prolonged, and further, a lot of inconvenience is brought to the life of people;
meanwhile, in the prior art, after the power transmission grid transformer has a power state operation fault, maintenance personnel are manually distributed, and the problem that the professional maintenance fault type of the maintenance personnel is not matched with the transformer fault type due to manual distribution errors exists in the mode, so that the maintenance task cannot be efficiently and reasonably distributed to the maintenance personnel, the fault maintenance efficiency and the fault maintenance progress of the power transmission grid transformer are influenced to a great extent, and the power consumption requirements of people cannot be met.
In order to solve the above problems, a smart grid power data processing and analyzing method, a smart grid power data processing and analyzing device, and a storage medium are designed.
Disclosure of Invention
The invention aims to provide a smart grid power data processing and analyzing method, a device and a storage medium, which solve the problems in the background technology.
The technical scheme adopted by the invention for solving the technical problems is as follows:
in a first aspect, the invention provides a smart grid power data processing and analyzing method, which includes the following steps:
s1, numbering the target transmission grid transformer: recording a power transmission grid to be analyzed as a target power transmission grid, acquiring the positions of all transformers in the target power transmission grid, and numbering all transformers in the target power transmission grid;
s2, monitoring the running power parameters of the transformer: monitoring the operating power parameters of all transformers in the target power transmission grid in real time, and analyzing the operating power state indexes of all transformers in the target power transmission grid;
s3, analyzing the running power state index of the transformer: according to the running power state indexes of all transformers in the target power transmission grid, comparing and screening all fault transformers in the target power transmission grid, and counting the positions of all fault transformers in the target power transmission grid;
s4, generating fault transformer maintenance information: screening power state operation fault types corresponding to fault transformers in a target power transmission grid, and generating maintenance information by combining the positions of the fault transformers in the target power transmission grid;
s5, matching and screening by maintenance personnel: according to the maintenance information of each fault transformer in the target power transmission grid, comparing, screening and matching target maintenance personnel corresponding to each fault transformer in the target power transmission grid;
s6, dispatching maintenance personnel: sending a dispatching request to target maintenance personnel corresponding to each fault transformer in the target power transmission grid, and processing according to feedback information of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid;
s7, maintenance and management of maintenance personnel: and when the maintenance start information of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid is received, managing the target maintenance personnel corresponding to each fault transformer and carrying out corresponding maintenance treatment measures.
As above, the detailed steps in step S2 include:
monitoring the operation power parameters of each transformer in the target power transmission grid in real time, wherein the operation power parameters comprise iron core grounding current, discharge electromagnetic waveform, winding hot spot temperature and oil performance indexes, and respectively obtaining the iron core grounding current, the discharge electromagnetic waveform, the winding hot spot temperature and the oil performance indexes of each transformer in the target power transmission grid;
respectively analyzing the iron core grounding state index, the discharging state index and the winding hot point temperature of each transformer in the target power transmission grid according to the iron core grounding current, the discharging electromagnetic waveform, the winding hot point temperature and the oil performance index of each transformer in the target power transmission gridThe degree state index and the oil performance state index respectively mark the iron core grounding state index, the discharge state index, the winding hot point temperature state index and the oil performance state index of each transformer in the target power transmission grid as xiia1、ξia2、ξia3、ξia4Where i 1,2, n, i denotes the number of the ith transformer.
As above, the corresponding detailed steps in step S3 include:
comparing the core grounding state index, the discharging state index, the winding hot spot temperature state index and the oil performance state index of each transformer in the target power transmission grid with a preset core grounding state index threshold, a preset discharging state index threshold, a preset winding hot spot temperature state index threshold and a preset oil performance state index threshold respectively, if the core grounding state index, the discharging state index, the winding hot spot temperature state index or the oil performance state index of a certain transformer in the target power transmission grid is smaller than a preset corresponding running power state index threshold, indicating that the transformer in the target power transmission grid runs in a power state, counting each transformer in the power state running fault in the target power transmission grid, marking the transformer in each fault, and acquiring the position of each fault transformer in the target power transmission grid.
As above, in step S4, the power state operation fault types corresponding to the fault transformers in the target power transmission grid are screened, and the specific screening method is as follows:
if the core grounding state index of a certain fault transformer in the target power transmission grid is smaller than a preset core grounding state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is an iron core grounding abnormal fault; if the discharge state index of a certain fault transformer in the target power transmission grid is smaller than a preset discharge state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is a partial discharge abnormal fault; if the winding hot spot temperature state index of a fault transformer in the target power transmission grid is smaller than a preset winding hot spot temperature state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is a winding hot spot temperature abnormal fault; and if the oil performance state index of a certain fault transformer in the target power transmission grid is smaller than a preset oil performance state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is an oil performance abnormal fault.
As above, the detailed steps in step S5 include:
acquiring professional maintenance power state operation fault types corresponding to all idle maintenance personnel in a target power transmission grid management center, extracting power state operation fault types in maintenance information of all fault transformers in a target power transmission grid, and comparing and screening all idle maintenance personnel corresponding to all fault transformers in the target power transmission grid;
the method comprises the steps of obtaining the position and the idle time of each fault transformer corresponding to each idle maintenance worker in a target power transmission grid, analyzing and screening the priority dispatching coefficient of each fault transformer corresponding to each idle maintenance worker in the target power transmission grid, sequencing each idle maintenance worker corresponding to each fault transformer in the target power transmission grid in sequence from top to bottom according to the priority dispatching coefficient, screening the space maintenance worker corresponding to each first priority dispatching in the target power transmission grid, and marking as the target maintenance worker corresponding to each fault transformer in the target power transmission grid.
As described above, the processing in step S6 according to the feedback information of the target maintenance staff corresponding to each faulty transformer in the target power transmission grid specifically includes:
if the feedback information of a certain fault transformer in the target power transmission grid corresponding to the target maintenance personnel is not the dispatch request, acquiring each ordered fault transformer in the target power transmission grid corresponding to each idle maintenance personnel, screening each fault transformer in the target power transmission grid corresponding to a second priority dispatched space maintenance personnel, and sending the dispatch request;
and if the feedback information of the target maintenance personnel corresponding to a certain fault transformer in the target power transmission grid is the permission of the dispatching request, waiting for the maintenance starting information of the target maintenance personnel corresponding to the fault transformer in the target power transmission grid.
As described above, the step S7 of managing the target maintenance personnel corresponding to each faulty transformer and performing the corresponding maintenance treatment measures specifically includes:
when maintenance start information of target maintenance personnel corresponding to each fault transformer in a target power transmission grid is received, counting the maintenance time of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid, and if the maintenance time of a certain fault transformer in the target power transmission grid corresponding to the target maintenance personnel exceeds a preset maintenance time threshold value corresponding to a power state operation fault type, reminding the corresponding target maintenance personnel of the fault transformer to send fault maintenance information to a target power transmission grid management center;
extracting the average maintenance time corresponding to the power state operation fault type of each transformer through a target power transmission grid management center, screening the average maintenance time corresponding to the power state operation fault type of each fault transformer in a target power transmission grid, comparing the predicted maintenance completion time in the fault maintenance progress information corresponding to each fault transformer in the target power transmission grid with the corresponding average maintenance time, and if the predicted maintenance completion time corresponding to a certain fault transformer in the target power transmission grid is greater than the corresponding average maintenance time, analyzing the ratio of the predicted maintenance completion time corresponding to the fault transformer in the target power transmission grid;
and counting the corresponding estimated maintenance completion time ratio of each fault transformer in the target power transmission grid, if the corresponding estimated maintenance completion time ratio of a certain fault transformer in the target power transmission grid is greater than the preset estimated maintenance completion time ratio, indicating that maintenance personnel need to be added to the fault transformer, and analyzing the addition quantity of the maintenance personnel corresponding to the fault transformer by setting a maintenance personnel quantity addition formula.
As above, the formula for adding the number of the set maintenance personnel is as follows: substituting the corresponding predicted maintenance completion time ratio of each fault transformer in the target power transmission grid into a formula
Obtaining the voltage transformation of each fault in the target power transmission gridNumber x of maintainers corresponding to the devicefIn which
Expressed as the ratio of the predicted maintenance completion time corresponding to the f-th fault transformer in the target power transmission grid, epsilon is expressed as a preset correction coefficient,
expressed as an upper integer.
In a second aspect, the present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; when the processor runs, the processor calls the computer program from the nonvolatile memory through the network interface and runs the computer program through the memory so as to execute the smart grid power data processing and analyzing method.
In a third aspect, the present invention also provides a storage medium comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the smart grid power data processing and analyzing method.
Compared with the prior art, the smart grid power data processing and analyzing method, the smart grid power data processing and analyzing equipment and the storage medium have the following beneficial effects:
according to the intelligent power grid power data processing and analyzing method, equipment and storage medium, the operation power parameters of all transformers in a target power transmission grid are monitored in real time, the operation power state indexes of all transformers in the target power transmission grid are analyzed, the power state operation fault types corresponding to all fault transformers in the target power transmission grid are screened, and the position of each fault transformer in the target power transmission grid is combined to generate maintenance information, so that the hysteresis of the monitoring information is effectively avoided, the situation that targeted processing can be timely and effectively carried out after instantaneous power faults occur to the transformers is ensured, the power supply safety of the power transmission grid is further ensured, the power failure duration of a power transmission grid coverage area is greatly reduced, and convenience is further provided for life of people.
According to the intelligent power grid electric power data processing and analyzing method, equipment and storage medium, target maintenance personnel corresponding to fault transformers in a matched target power transmission grid are screened according to maintenance information of the fault transformers in the target power transmission grid, and after maintenance start information of the target maintenance personnel corresponding to the fault transformers in the target power transmission grid is received, the target maintenance personnel corresponding to the fault transformers are managed and corresponding maintenance treatment measures are carried out, so that the problem that professional maintenance fault types of maintenance personnel are not matched with the fault types of the transformers is solved, maintenance tasks are distributed to the maintenance personnel efficiently and reasonably, the fault maintenance efficiency and the fault maintenance progress of the transformers of the power transmission grid are improved to the greatest extent, and further the power consumption requirements of people are met.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced 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 that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a smart grid power data processing and analyzing method, including the following steps:
s1, numbering the target transmission grid transformer: recording a power transmission grid to be analyzed as a target power transmission grid, acquiring the position of each transformer in the target power transmission grid, and numbering each transformer in the target power transmission grid, wherein the numbering of each transformer in the target power transmission grid is 1, 2.
S2, monitoring the running power parameters of the transformer: and monitoring the operating power parameters of each transformer in the target power transmission grid in real time, and analyzing the operating power state index of each transformer in the target power transmission grid.
On the basis of the foregoing embodiment, the specific detailed step in step S2 includes:
monitoring the operation power parameters of each transformer in the target power transmission grid in real time, wherein the operation power parameters comprise iron core grounding current, discharge electromagnetic waveform, winding hot spot temperature and oil performance indexes, and respectively obtaining the iron core grounding current, the discharge electromagnetic waveform, the winding hot spot temperature and the oil performance indexes of each transformer in the target power transmission grid;
according to the iron core grounding current, the discharging electromagnetic waveform, the winding hot spot temperature and the oil performance index of each transformer in the target power transmission grid, the iron core grounding state index, the discharging state index, the winding hot spot temperature state index and the oil performance state index of each transformer in the target power transmission grid are respectively analyzed, and the iron core grounding state index, the discharging state index, the winding hot spot temperature state index and the oil performance state index of each transformer in the target power transmission grid are respectively marked as xiia1、ξia2、ξia3、ξia4Where i 1,2, n, i denotes the number of the ith transformer.
As a specific embodiment of the present invention, the monitoring the operating power parameters of each transformer in the target power transmission grid in real time specifically includes:
grounding iron cores of transformers in target power transmission grid through pincerlike ampere metersMonitoring the current in real time to obtain the iron core grounding current of each transformer in the target power transmission grid, and marking the iron core grounding current of each transformer in the target power transmission grid as wia1；
Monitoring the discharge electromagnetic waveform of each transformer in the target power transmission grid in real time through an ultrahigh frequency electromagnetic wave detector to obtain the discharge electromagnetic waveform of each transformer in the target power transmission grid;
the winding hot spot temperature of each transformer in the target power transmission grid is monitored in real time through a temperature sensor to obtain the winding hot spot temperature of each transformer in the target power transmission grid, and the winding hot spot temperature of each transformer in the target power transmission grid is marked as wia3；
Monitoring the concentration of each fault characteristic gas dissolved in insulating oil of each transformer in a target power transmission grid in real time through an oil chromatography on-line monitor to obtain oil performance indexes of each transformer in the target power transmission grid, and marking the oil performance indexes of each transformer in the target power transmission grid as wia4。
As a specific embodiment of the present invention, the oil performance index of each transformer in the above-mentioned medium-target power transmission grid is obtained by:
marking the concentration of each fault characteristic gas dissolved in each transformer insulating oil in a target power transmission grid as pibjWherein j is 1,2, and m, j represents the jth fault characteristic gas;
analyzing oil performance indexes of transformers in target power transmission grid
Wherein mujAnd is expressed as an oil performance influence coefficient corresponding to the j-th fault characteristic gas concentration.
It should be noted that the fault signature gases include, but are not limited to: hydrogen, carbon monoxide, methane, ethane, ethylene and acetylene.
On the basis of the foregoing embodiment, the analyzing of the core grounding state index, the discharging state index, the winding hot spot temperature state index, and the oil performance state index of each transformer in the target power transmission grid includes:
grounding current w of iron core of each transformer in target power transmission gridia1Substitution formula
Obtaining iron core grounding state index xi of each transformer in target power transmission gridia1Wherein gamma is1Is represented by an influence factor, w ', of the core grounding current'Sign boarda1Expressed as the standard core grounding current, Δ w' a, of the transformer in the safety operation of the transmission network preset1Expressing the error value as a preset iron core grounding current allowable error value;
comparing the discharge electromagnetic waveform of each transformer in the target power transmission grid with a preset standard partial discharge electromagnetic waveform of a transformer in safe operation of the power transmission grid to obtain the overlapping degree w of the discharge electromagnetic waveform of each transformer in the target power transmission grid and the standard partial discharge electromagnetic waveformia2Analyzing discharge state index of each transformer in target power transmission grid
Wherein gamma is2Is expressed as an influence factor, w ', of a discharge electromagnetic waveform'Sign boarda2Expressed as a preset discharge electromagnetic waveform overlap;
winding hot point temperature w of each transformer in target power transmission gridia3Substitution formula
Obtaining winding hot point temperature state index xi of each transformer in target power transmission gridia3Wherein γ is3Is expressed as an influence factor of the winding hot spot temperature, and e is expressed as a constant w'maxa3And w'mina3Respectively representing the maximum value and the minimum value corresponding to the standard winding hot spot temperature of the transformer in the preset safe operation of the power transmission grid;
oiliness of each transformer in target power transmission gridEnergy index wia4Substituting into formula
Obtaining the oil performance state index xi of each transformer in the target power transmission gridia4Wherein γ is4An influence factor, w'Sign boarda4And the performance index is expressed as the standard oil performance index of the transformer in the preset safe operation of the power transmission grid.
S3, analyzing the running power state index of the transformer: and comparing and screening fault transformers in the target power transmission grid according to the operating power state indexes of the transformers in the target power transmission grid, and counting the positions of the fault transformers in the target power transmission grid.
On the basis of the foregoing embodiment, the specific detailed steps in step S3 include:
comparing the core grounding state index, the discharging state index, the winding hot spot temperature state index and the oil performance state index of each transformer in the target power transmission grid with a preset core grounding state index threshold, a preset discharging state index threshold, a preset winding hot spot temperature state index threshold and a preset oil performance state index threshold respectively, if the core grounding state index, the discharging state index, the winding hot spot temperature state index or the oil performance state index of a certain transformer in the target power transmission grid is smaller than a preset corresponding running power state index threshold, indicating that the transformer in the target power transmission grid runs in a power state, counting each transformer in the power state running fault in the target power transmission grid, marking the transformer in each fault, and acquiring the position of each fault transformer in the target power transmission grid.
S4, generating fault transformer maintenance information: and screening the power state operation fault types corresponding to the fault transformers in the target power transmission grid, and generating maintenance information by combining the positions of the fault transformers in the target power transmission grid.
On the basis of the foregoing embodiment, in step S4, the power state operation fault types corresponding to each faulty transformer in the target power transmission grid are screened, where the specific screening method is as follows:
if the core grounding state index of a certain fault transformer in the target power transmission grid is smaller than a preset core grounding state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is an core grounding abnormal fault; if the discharge state index of a certain fault transformer in the target power transmission grid is smaller than a preset discharge state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is a partial discharge abnormal fault; if the winding hot spot temperature state index of a fault transformer in the target power transmission grid is smaller than a preset winding hot spot temperature state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is a winding hot spot temperature abnormal fault; and if the oil performance state index of a certain fault transformer in the target power transmission grid is smaller than a preset oil performance state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is an oil performance abnormal fault.
In this embodiment, the method and the device provided by the invention are used for monitoring the operating power parameters of each transformer in the target power transmission grid in real time, analyzing the operating power state index of each transformer in the target power transmission grid, screening the power state operating fault types corresponding to each fault transformer in the target power transmission grid, and generating the maintenance information by combining the positions of each fault transformer in the target power transmission grid, so that the hysteresis of the monitoring information is effectively avoided, timely and effective targeted processing can be ensured after the transient power fault occurs in the transformer, the power supply safety of the power transmission grid is further ensured, the power failure duration of the power transmission grid coverage area is greatly reduced, and convenience is further provided for the life of people.
S5, matching and screening by maintenance personnel: and comparing, screening and matching target maintenance personnel corresponding to each fault transformer in the target power transmission grid according to the maintenance information of each fault transformer in the target power transmission grid.
On the basis of the foregoing embodiment, the specific detailed steps in step S5 include:
acquiring professional maintenance power state operation fault types corresponding to all idle maintenance personnel in a target power transmission grid management center, extracting power state operation fault types in maintenance information of all fault transformers in a target power transmission grid, and comparing and screening all idle maintenance personnel corresponding to all fault transformers in the target power transmission grid;
the method comprises the steps of obtaining the position and the idle time of each idle maintenance worker corresponding to each fault transformer in a target power transmission grid, analyzing and screening the priority dispatching coefficient of each idle maintenance worker corresponding to each fault transformer in the target power transmission grid, sequencing each idle maintenance worker corresponding to each fault transformer in the target power transmission grid according to the sequence of the priority dispatching coefficients from top to bottom, screening space maintenance workers corresponding to the first priority dispatching space of each fault transformer in the target power transmission grid, and recording the space maintenance workers as the target maintenance workers corresponding to each fault transformer in the target power transmission grid.
As a specific embodiment of the present invention, the analyzing and screening a priority dispatch coefficient of each idle maintenance worker corresponding to each faulty transformer in the target power transmission grid includes:
the method comprises the steps of obtaining the position of each fault transformer in a target power transmission grid corresponding to each idle maintenance worker, extracting the position of the corresponding fault transformer in maintenance information of each fault transformer in the target power transmission grid, comparing to obtain the distance between the position of each idle maintenance worker corresponding to each fault transformer in the target power transmission grid and the position of the corresponding fault transformer, and marking the distance between the position of each idle maintenance worker corresponding to each fault transformer in the target power transmission grid and the position of the corresponding fault transformer as dfqrF is 1,2, the. -, k, and k is less than or equal to n, f is the number of the f-th failed transformer, and r is 1,2, the. -, u, r is the r-th space maintainer;
obtaining the idle time of each fault transformer corresponding to each idle maintenance worker in the target power transmission grid, wherein the idle time is the time when the idle maintenance worker has a rest after the last maintenance work is finished, and marking the idle time of each fault transformer corresponding to each idle maintenance worker in the target power transmission grid as tfqr；
Analyzing the advantages of each fault transformer corresponding to each space maintenance personnel in the target power transmission gridDispatch first coefficient
Wherein delta1、δ2Respectively expressed as a preset priority dispatch impact factor, dPreparation ofExpressed as the preset maximum distance between the maintenance person and the transformer, tPreparation ofExpressed as preset maintenance personnel idle time.
S6, dispatching maintenance personnel: sending a dispatching request to target maintenance personnel corresponding to each fault transformer in the target power transmission grid, and processing according to feedback information of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid.
On the basis of the foregoing embodiment, the processing in step S6 according to the feedback information of the target maintenance person corresponding to each faulty transformer in the target power transmission grid specifically includes:
if the feedback information of a certain fault transformer in the target power transmission grid corresponding to the target maintenance personnel is not the dispatch request, acquiring each ordered fault transformer in the target power transmission grid corresponding to each idle maintenance personnel, screening each fault transformer in the target power transmission grid corresponding to a second priority dispatched space maintenance personnel, and sending the dispatch request;
and if the feedback information of the target maintenance personnel corresponding to a certain fault transformer in the target power transmission grid is the dispatching agreement request, waiting for the maintenance starting information of the target maintenance personnel corresponding to the fault transformer in the target power transmission grid.
S7, maintenance and management of maintenance personnel: and when the maintenance start information of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid is received, managing the target maintenance personnel corresponding to each fault transformer and carrying out corresponding maintenance treatment measures.
On the basis of the foregoing embodiment, the step S7 of managing the target maintenance personnel corresponding to each faulty transformer and performing corresponding maintenance treatment measures specifically includes:
when maintenance start information of target maintenance personnel corresponding to each fault transformer in a target power transmission grid is received, counting the maintenance time of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid, and if the maintenance time of a certain fault transformer in the target power transmission grid corresponding to the target maintenance personnel exceeds a preset maintenance time threshold value corresponding to a power state operation fault type, reminding the fault transformer corresponding to the target maintenance personnel to send fault maintenance information to a target power transmission grid management center, wherein the fault maintenance progress information comprises the maintained time, the predicted maintenance completion time and fault maintenance content;
extracting the average maintenance time corresponding to the power state operation fault type of each transformer through a target power transmission grid management center, screening the average maintenance time corresponding to the power state operation fault type of each fault transformer in a target power transmission grid, comparing the predicted maintenance completion time in the fault maintenance progress information corresponding to each fault transformer in the target power transmission grid with the corresponding average maintenance time, and if the predicted maintenance completion time corresponding to a certain fault transformer in the target power transmission grid is greater than the corresponding average maintenance time, analyzing the ratio of the predicted maintenance completion time corresponding to the fault transformer in the target power transmission grid;
and counting the corresponding estimated maintenance completion time ratio of each fault transformer in the target power transmission grid, if the corresponding estimated maintenance completion time ratio of a certain fault transformer in the target power transmission grid is greater than the preset estimated maintenance completion time ratio, indicating that maintenance personnel need to be added to the fault transformer, and analyzing the addition quantity of the maintenance personnel corresponding to the fault transformer by setting a maintenance personnel quantity addition formula.
Further, the analysis mode of the ratio of the expected maintenance completion time corresponding to each fault transformer in the medium-target power transmission grid is as follows:
marking predicted maintenance completion time in fault maintenance progress information corresponding to each fault transformer in target power transmission grid as T'fMarking the average maintenance time of the operation fault type of each fault transformer corresponding to the power state in the target power transmission grid as
Analyzing each of the target transmission gridsCorresponding predicted maintenance completion time ratio of fault transformer
As a specific embodiment of the present invention, the formula for adding the number of the set maintenance personnel is as follows: substituting the corresponding predicted maintenance completion time ratio of each fault transformer in the target power transmission grid into a formula
Obtaining the number x of maintenance personnel added corresponding to each fault transformer in the target power transmission gridfWherein
Expressed as the ratio of the predicted maintenance completion time corresponding to the f-th fault transformer in the target power transmission grid, epsilon is expressed as a preset correction coefficient,
expressed as integers from above.
In the embodiment, the target maintenance personnel corresponding to each fault transformer in the matched target power transmission grid are screened according to the maintenance information of each fault transformer in the target power transmission grid, and meanwhile, after the maintenance start information of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid is received, the target maintenance personnel corresponding to each fault transformer are managed and corresponding maintenance treatment measures are carried out, so that the problem that the professional maintenance fault type of the maintenance personnel is not matched with the fault type of the transformer is solved, the maintenance task is further efficiently and reasonably distributed to the maintenance personnel, the fault maintenance efficiency and the fault maintenance progress of the power transmission grid transformer are improved to the greatest extent, and the power consumption requirements of people are further met.
In a second aspect, the present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; when the processor runs, the processor calls the computer program from the nonvolatile memory through the network interface and runs the computer program through the memory so as to execute the smart grid power data processing and analyzing method.
In a third aspect, the present invention also provides a storage medium comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the smart grid power data processing and analyzing method.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. The smart grid power data processing and analyzing method is characterized by comprising the following steps:
s1, numbering the target transmission grid transformer: recording a power transmission grid to be analyzed as a target power transmission grid, acquiring the positions of all transformers in the target power transmission grid, and numbering all transformers in the target power transmission grid;
s2, monitoring the running power parameters of the transformer: monitoring the operating power parameters of each transformer in the target power transmission grid in real time, and analyzing the operating power state index of each transformer in the target power transmission grid;
s3, analyzing the running power state index of the transformer: according to the running power state indexes of all transformers in the target power transmission grid, comparing and screening all fault transformers in the target power transmission grid, and counting the positions of all fault transformers in the target power transmission grid;
s4, generating fault transformer maintenance information: screening power state operation fault types corresponding to fault transformers in a target power transmission grid, and generating maintenance information by combining the positions of the fault transformers in the target power transmission grid;
s5, matching and screening by maintenance personnel: according to the maintenance information of each fault transformer in the target power transmission grid, comparing, screening and matching target maintenance personnel corresponding to each fault transformer in the target power transmission grid;
s6, dispatching maintenance personnel: sending a dispatching request to target maintenance personnel corresponding to each fault transformer in the target power transmission grid, and processing according to feedback information of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid;
s7, maintenance and management of maintenance personnel: and when the maintenance start information of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid is received, managing the target maintenance personnel corresponding to each fault transformer and carrying out corresponding maintenance treatment measures.
2. The smart grid power data processing and analyzing method according to claim 1, wherein the method comprises the following steps: the corresponding detailed steps in step S2 include:
monitoring the operation power parameters of each transformer in the target power transmission grid in real time, wherein the operation power parameters comprise iron core grounding current, discharge electromagnetic waveform, winding hot spot temperature and oil performance indexes, and respectively obtaining the iron core grounding current, the discharge electromagnetic waveform, the winding hot spot temperature and the oil performance indexes of each transformer in the target power transmission grid;
according to the iron core grounding current, the discharging electromagnetic waveform, the winding hot spot temperature and the oil performance index of each transformer in the target power transmission grid, the iron core grounding state index, the discharging state index, the winding hot spot temperature state index and the oil performance state index of each transformer in the target power transmission grid are respectively analyzed, and the iron core grounding state index, the discharging state index, the winding hot spot temperature state index and the oil performance state index of each transformer in the target power transmission grid are respectively marked as xiia1、ξia2、ξia3、ξia4Where i is 1,2, n, i denotes the i-th transformerThe number of (2).
3. The smart grid power data processing and analyzing method according to claim 1, characterized in that: the corresponding detailed steps in step S3 include:
comparing the core grounding state index, the discharging state index, the winding hot spot temperature state index and the oil performance state index of each transformer in the target power transmission grid with a preset core grounding state index threshold, a preset discharging state index threshold, a preset winding hot spot temperature state index threshold and a preset oil performance state index threshold respectively, if the core grounding state index, the discharging state index, the winding hot spot temperature state index or the oil performance state index of a certain transformer in the target power transmission grid is smaller than a preset corresponding running power state index threshold, indicating that the transformer in the target power transmission grid runs in a power state, counting each transformer in the power state running fault in the target power transmission grid, marking the transformer in each fault, and acquiring the position of each fault transformer in the target power transmission grid.
4. The smart grid power data processing and analyzing method according to claim 1, wherein the method comprises the following steps: in step S4, the power state operation fault types corresponding to each fault transformer in the target power transmission grid are screened, and the specific screening method is as follows:
if the core grounding state index of a certain fault transformer in the target power transmission grid is smaller than a preset core grounding state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is an iron core grounding abnormal fault; if the discharge state index of a certain fault transformer in the target power transmission grid is smaller than a preset discharge state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is a partial discharge abnormal fault; if the winding hot spot temperature state index of a certain fault transformer in the target power transmission grid is smaller than a preset winding hot spot temperature state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is a winding hot spot temperature abnormal fault; and if the oil performance state index of a certain fault transformer in the target power transmission grid is smaller than a preset oil performance state index threshold value, indicating that the power state operation fault type of the fault transformer in the target power transmission grid is an oil performance abnormal fault.
5. The smart grid power data processing and analyzing method according to claim 1, wherein the method comprises the following steps: the detailed steps in step S5 include:
acquiring professional maintenance power state operation fault types corresponding to all idle maintenance personnel in a target power transmission grid management center, extracting power state operation fault types in maintenance information of all fault transformers in a target power transmission grid, and comparing and screening all idle maintenance personnel corresponding to all fault transformers in the target power transmission grid;
the method comprises the steps of obtaining the position and the idle time of each fault transformer corresponding to each idle maintenance worker in a target power transmission grid, analyzing and screening the priority dispatching coefficient of each fault transformer corresponding to each idle maintenance worker in the target power transmission grid, sequencing each idle maintenance worker corresponding to each fault transformer in the target power transmission grid in sequence from top to bottom according to the priority dispatching coefficient, screening the space maintenance worker corresponding to each first priority dispatching in the target power transmission grid, and marking as the target maintenance worker corresponding to each fault transformer in the target power transmission grid.
6. The smart grid power data processing and analyzing method according to claim 1, wherein the method comprises the following steps: in step S6, the processing is performed according to the feedback information of the target maintenance staff corresponding to each faulty transformer in the target power transmission grid, and the processing specifically includes:
if the feedback information of a certain fault transformer in the target power transmission grid corresponding to the target maintenance personnel is a disapproved dispatching request, acquiring each fault transformer in the ordered target power transmission grid corresponding to each idle maintenance personnel, screening each fault transformer in the target power transmission grid corresponding to a space maintenance personnel dispatched with a second priority, and sending a dispatching request;
and if the feedback information of the target maintenance personnel corresponding to a certain fault transformer in the target power transmission grid is the permission of the dispatching request, waiting for the maintenance starting information of the target maintenance personnel corresponding to the fault transformer in the target power transmission grid.
7. The smart grid power data processing and analyzing method according to claim 1, wherein the method comprises the following steps: in step S7, the management of the target maintenance personnel corresponding to each faulty transformer and the corresponding maintenance treatment measures are performed, which specifically include:
when maintenance start information of target maintenance personnel corresponding to each fault transformer in a target power transmission grid is received, counting the maintenance time of the target maintenance personnel corresponding to each fault transformer in the target power transmission grid, and if the maintenance time of a certain fault transformer in the target power transmission grid corresponding to the target maintenance personnel exceeds a preset maintenance time threshold value corresponding to a power state operation fault type, reminding the corresponding target maintenance personnel of the fault transformer to send fault maintenance information to a target power transmission grid management center;
extracting the average maintenance time corresponding to the power state operation fault type of each transformer through a target power transmission grid management center, screening the average maintenance time corresponding to the power state operation fault type of each fault transformer in a target power transmission grid, comparing the predicted maintenance completion time in the fault maintenance progress information corresponding to each fault transformer in the target power transmission grid with the corresponding average maintenance time, and if the predicted maintenance completion time corresponding to a certain fault transformer in the target power transmission grid is greater than the corresponding average maintenance time, analyzing the ratio of the predicted maintenance completion time corresponding to the fault transformer in the target power transmission grid;
and counting the corresponding estimated maintenance completion time ratio of each fault transformer in the target power transmission grid, if the corresponding estimated maintenance completion time ratio of a certain fault transformer in the target power transmission grid is greater than the preset estimated maintenance completion time ratio, indicating that maintenance personnel need to be added to the fault transformer, and analyzing the addition quantity of the maintenance personnel corresponding to the fault transformer by setting a maintenance personnel quantity addition formula.
8. The smart grid power data processing and analyzing method according to claim 7, wherein the method comprises the following steps: the formula for adding the number of the set maintenance personnel is as follows: substituting the ratio of the corresponding predicted maintenance completion time of each fault transformer in the target power transmission grid into a formula
Obtaining the number x of maintenance personnel added corresponding to each fault transformer in the target power transmission gridfWherein
Expressed as the ratio of the predicted maintenance completion time corresponding to the f-th fault transformer in the target power transmission grid, epsilon is expressed as a preset correction coefficient,
expressed as an upper integer.
9. An apparatus, characterized by: the method comprises the following steps: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor retrieves a computer program from the non-volatile memory through the network interface when running, and runs the computer program through the memory to execute a smart grid power data processing and analyzing method according to any one of claims 1 to 8.
10. A storage medium, characterized by: comprises a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute a computer program stored in the memory;
the computer program is used for executing the smart grid power data processing and analyzing method of any one of claims 1 to 8.
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| CN115144633A (en) * | 2022-08-01 | 2022-10-04 | 广东电网有限责任公司广州供电局 | Modularization intelligence ammeter case |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115144633A (en) * | 2022-08-01 | 2022-10-04 | 广东电网有限责任公司广州供电局 | Modularization intelligence ammeter case |
| CN115144633B (en) * | 2022-08-01 | 2023-11-14 | 广东电网有限责任公司广州供电局 | Modularized intelligent ammeter box |
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