CN117526553A - Power grid data acquisition system - Google Patents
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- CN117526553A CN117526553A CN202311357646.0A CN202311357646A CN117526553A CN 117526553 A CN117526553 A CN 117526553A CN 202311357646 A CN202311357646 A CN 202311357646A CN 117526553 A CN117526553 A CN 117526553A
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- 238000012423 maintenance Methods 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 15
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 230000002159 abnormal effect Effects 0.000 claims abstract description 9
- 238000007689 inspection Methods 0.000 claims abstract description 4
- 238000001514 detection method Methods 0.000 claims description 24
- 238000000034 method Methods 0.000 claims description 14
- 238000012797 qualification Methods 0.000 claims description 6
- 238000012935 Averaging Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000012800 visualization Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B3/00—Apparatus specially adapted for the manufacture, assembly, or maintenance of boards or switchgear
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
Abstract
The invention discloses a data acquisition system of an electric power grid, which comprises a data acquisition unit, a data acquisition unit and a data acquisition unit, wherein the data acquisition unit acquires operation parameters of secondary equipment; the data analysis unit is used for acquiring a power influence value ZPy and a temperature influence value ZPt of the data acquisition unit, and analyzing and processing the power influence value ZPy and the temperature influence value ZPt to obtain an operation performance coefficient of the secondary equipment; the data processing unit compares the obtained operation performance coefficient XB of the secondary equipment with an operation performance coefficient threshold value of the secondary equipment; the equipment maintenance module is used for arranging corresponding personnel for on-site inspection and maintenance when the abnormal operation signals of the data processing unit are acquired, analyzing and judging faults through the acquired operation parameters of the secondary equipment in the transformer substation in the power grid, knowing the fault point in time, and then utilizing the equipment maintenance module according to the fault point to rapidly and comprehensively check the faults generated by the secondary equipment and ensure the normal operation of the power grid equipment.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to a power grid data acquisition system.
Background
Chinese patent CN114189049a discloses a power grid data acquisition system. Each transformer substation is provided with at least one site server, and the transformer substations are communicated with the site servers through serial buses; each site server is connected with a total server of a total control center through an Ethernet; the station server receives the data information of the transformer substation, stores, backs up and analyzes the data information, and sends the analysis result to the total server; the main server is used for receiving the substation operation conditions sent by the station servers, summarizing the substation operation conditions in the area, sending the substation operation conditions to the cloud visualization platform for display according to the summarized results, and dispatching, distributing, maintaining and monitoring by operators of the main control center according to the substation operation conditions;
in the prior art, in a power grid system, a plurality of substations are included, and the problems that faults exist in the working process of the substations and the like exist, the substations cannot reasonably and rapidly arrange workers to carry out rush repair maintenance, and the normal operation and the working of the power grid system are ensured.
Disclosure of Invention
The invention aims to solve the problems of the background technology and provides a power grid data acquisition system.
The aim of the invention can be achieved by the following technical scheme:
a power grid data acquisition system comprising:
the data acquisition unit acquires operation parameters of the secondary equipment, wherein the operation parameters comprise a power influence value and a temperature influence value;
the data analysis unit is used for acquiring a power influence value ZPy and a temperature influence value ZPt of the data acquisition unit, and analyzing and processing the power influence value ZPy and the temperature influence value ZPt to obtain an operation performance coefficient of the secondary equipment;
the data processing unit acquires the operation performance coefficient XB of the data analysis unit to the secondary equipment, and compares the acquired operation performance coefficient XB of the secondary equipment with an operation performance coefficient threshold value of the secondary equipment;
and the equipment maintenance module is used for arranging corresponding personnel for on-site inspection and maintenance when the abnormal operation signal of the data processing unit is acquired.
As a further scheme of the invention: the power influence value is obtained by the following steps:
the method comprises the steps of acquiring real-time power values in an acquisition time period, equally dividing the acquisition time into i detection time periods, acquiring the maximum power value in the detection time i and marking the maximum power value as ZL i, summing the maximum power values ZL i in the acquisition time period and averaging to obtain a power maximum average value ZLp, and comparing the power maximum average value ZLp with a power maximum average threshold value:
if the power maximum average ZLp is greater than the power maximum average threshold, determining a power influence signal, establishing a rectangular coordinate system by taking time as an X axis and taking power as a Y axis, marking n power points in the rectangular coordinate system by taking the starting time of the detection period i and the maximum power value in the detection period i, marking two power points with the maximum ordinate value as high power points, marking two power points with the minimum ordinate value as low power points, sequentially connecting the two high power points and the low power points to obtain a quadrangle, and marking the area value of the quadrangle as a power influence value ZPy.
As a further scheme of the invention: the temperature influence value is obtained by the following steps:
the method comprises the steps of acquiring real-time temperature values in acquisition time periods, equally dividing the acquisition time into i detection time periods, acquiring the maximum temperature value in the detection time i and marking the maximum temperature value as ZT i, summing the maximum temperature value ZT i in the acquisition time periods to obtain a maximum temperature average value ZTp, and comparing the maximum temperature average value ZTp with a maximum temperature average threshold value:
if the maximum average value ZTp of the temperatures is greater than the maximum average threshold of the temperatures, determining a temperature influence signal, establishing a rectangular coordinate system by taking time as an X axis and taking temperature as a Y axis, marking n temperature points in the rectangular coordinate system by taking the starting time of the detection period i and the maximum temperature value in the detection period i, marking two temperature points with the maximum ordinate value as high temperature points, marking two temperature points with the minimum ordinate value as low temperature points, sequentially connecting the two high temperature points and the low temperature points to obtain a quadrangle, and marking the area value of the quadrangle as a temperature influence value ZPt.
As a further scheme of the invention: the specific working process of the data analysis unit is as follows:
substituting the obtained power influence value ZPy and temperature influence value ZPt into a formula XB= (a1× ZPy +a2× ZPt)/(a1+a2), and calculating to obtain an operation performance coefficient XB of the secondary equipment; wherein a1 and a2 are proportionality coefficients.
As a further scheme of the invention: if the operation performance coefficient XB of the secondary equipment is more than or equal to the operation performance coefficient threshold of the secondary equipment, generating an operation abnormal signal;
and if the operation performance coefficient XB of the secondary equipment is smaller than the operation performance coefficient threshold value of the secondary equipment, generating an operation normal signal.
As a further scheme of the invention: the specific working process of the equipment maintenance module is as follows:
step 1: the secondary equipment which acquires the operation abnormal signal of the data processing unit correspondingly acquires the operation performance coefficient XB of the corresponding secondary equipment, marks the operation performance coefficient XB as equipment to be maintained, and arranges the operation performance coefficients XB from large to small;
step 2: marking the maintainer in the idle state as a primary selector; counting the number of times that a primary selector completes maintenance tasks of equipment to be maintained and marking the number of times as a target maintenance number C1;
the success rate G1 of the primary selection personnel when finishing the maintenance task of the equipment to be maintained each time is obtained, and the success rate is further analyzed to obtain the over-rate coefficient CW, which comprises the following steps:
comparing the success rate G1 with a preset success rate threshold, and marking the corresponding success rate as influencing the qualification rate if the success rate G1 is more than or equal to the success rate threshold;
counting the occurrence times of the influence qualification rate as C2; performing difference value calculation on the influence percent of pass and a preset percent of pass threshold to obtain an superrate value, and summing all superrate values to obtain a superrate total value W1; calculating by using a formula CW=C2×g3+W1×g4 to obtain an over-rate coefficient CW, wherein g3 and g4 are coefficient factors;
acquiring total times C3 of illegal operations of primary selection personnel in the overhaul process of equipment to be maintained; setting the age of a primary selector as N1, and marking the job entering time length of the primary selector as T1;
the distribution value FP of the primary selector is calculated by using the formula FP= (C1×d1+CW×d2+T1×d3)/(C3×d4) - |N1-35|d5, wherein d1, d2, d3, d4 and d5 are all coefficient factors.
The invention has the beneficial effects that:
according to the power grid data acquisition system, the fault point can be known in time by acquiring the operation parameters of the secondary equipment in the transformer substation in the power grid and analyzing and judging the fault, and then the equipment maintenance module is utilized according to the fault point, so that the fault generated by the secondary equipment can be rapidly and comprehensively checked, and the normal operation of the power grid equipment is ensured.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
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.
Example 1
Referring to fig. 1, the invention discloses a power grid data acquisition system, which comprises a main server, site servers, transformer substations and a cloud visualization platform, wherein the transformer substations of a plurality of power grids are arranged in different administrative areas, each transformer substation is provided with at least one site server, and the transformer substations and the site servers are communicated through a serial bus; each site server is connected with a total server of a total control center through an Ethernet; the cloud visualization platform is connected with the total server through a line; the station server is used for receiving the data information of the transformer substation connected with the station server, storing and backing up the data information, analyzing the operation condition of the transformer substation according to the data information of the transformer substation, and sending the analysis result to the total server; the main server is used for receiving the substation operation conditions sent by the station servers, summarizing the substation operation conditions in the area, sending the substation operation conditions to the cloud visualization platform for display according to the summarized results, and dispatching, distributing, maintaining and monitoring by operators of the main control center according to the substation operation conditions;
the transformer substation is internally provided with a plurality of multi-port serial port servers and data acquisition boards, wherein each data acquisition board is connected with at least one secondary device, the secondary device is used as a data acquisition unit of each data acquisition board and is arranged on a communication link between the transformer substation and the multi-port serial port server, and the secondary device acquires information of the transformer substation and gathers the information on the multi-port serial port server through a serial port communication network;
the data acquisition unit acquires operation parameters of the secondary equipment, wherein the operation parameters comprise a power influence value and a temperature influence value;
the power influence value obtaining mode is as follows:
the method comprises the steps of acquiring real-time power values in an acquisition time period, equally dividing the acquisition time into i detection time periods, acquiring the maximum power value in the detection time i and marking the maximum power value as ZL i, summing the maximum power values ZL i in the acquisition time period and averaging to obtain a power maximum average value ZLp, and comparing the power maximum average value ZLp with a power maximum average threshold value:
if the maximum average power value ZLp is larger than the maximum average power threshold value, judging a power influence signal, establishing a rectangular coordinate system by taking time as an X axis and taking power as a Y axis, marking n power points in the rectangular coordinate system by taking the starting time of a detection period i and the maximum power value in the detection period i, marking two power points with the maximum ordinate value as high power points, marking two power points with the minimum ordinate value as low power points, sequentially connecting the two high power points and the low power points to obtain a quadrangle, and marking the area value of the quadrangle as a power influence value ZPy;
the temperature influence value is obtained by the following steps:
the method comprises the steps of acquiring real-time temperature values in acquisition time periods, equally dividing the acquisition time into i detection time periods, acquiring the maximum temperature value in the detection time i and marking the maximum temperature value as ZT i, summing the maximum temperature value ZT i in the acquisition time periods to obtain a maximum temperature average value ZTp, and comparing the maximum temperature average value ZTp with a maximum temperature average threshold value:
if the maximum average value ZTp of the temperatures is larger than the maximum average threshold value of the temperatures, determining a temperature influence signal, establishing a rectangular coordinate system by taking time as an X axis and taking temperature as a Y axis, marking n temperature points in the rectangular coordinate system by taking the starting time of a detection period i and the maximum temperature value in the detection period i, marking two temperature points with the maximum ordinate value as high temperature points, marking two temperature points with the minimum ordinate value as low temperature points, sequentially connecting the two high temperature points and the low temperature points to obtain a quadrangle, and marking the area value of the quadrangle as a temperature influence value ZPt;
the data analysis unit is used for acquiring a power influence value ZPy and a temperature influence value ZPt of the data acquisition unit, and analyzing and processing the power influence value ZPy and the temperature influence value ZPt to obtain an operation performance coefficient of the secondary equipment;
the specific working process of the data analysis unit is as follows:
substituting the obtained power influence value ZPy and temperature influence value ZPt into a formula XB= (a1× ZPy +a2× ZPt)/(a1+a2), and calculating to obtain an operation performance coefficient XB of the secondary equipment; wherein, a1 and a2 are proportionality coefficients, the value of a1 is 0.63, and the value of a2 is 0.12;
the data processing unit acquires the operation performance coefficient XB of the data analysis unit to the secondary equipment, and compares the acquired operation performance coefficient XB of the secondary equipment with an operation performance coefficient threshold value of the secondary equipment;
if the operation performance coefficient XB of the secondary equipment is more than or equal to the operation performance coefficient threshold of the secondary equipment, generating an operation abnormal signal;
if the operation performance coefficient XB of the secondary equipment is smaller than the operation performance coefficient threshold value of the secondary equipment, generating an operation normal signal;
the equipment maintenance module is used for arranging corresponding personnel for on-site inspection and maintenance when the abnormal operation signal of the data processing unit is acquired;
the equipment overhaul module has the following specific working process:
step 1: the secondary equipment which acquires the operation abnormal signal of the data processing unit correspondingly acquires the operation performance coefficient XB of the corresponding secondary equipment, marks the operation performance coefficient XB as equipment to be maintained, and arranges the operation performance coefficients XB from large to small;
step 2: marking the maintainer in the idle state as a primary selector; counting the number of times that a primary selector completes maintenance tasks of equipment to be maintained and marking the number of times as a target maintenance number C1;
the success rate G1 of the primary selection personnel when finishing the maintenance task of the equipment to be maintained each time is obtained, and the success rate is further analyzed to obtain the over-rate coefficient CW, which comprises the following steps:
comparing the success rate G1 with a preset success rate threshold, and marking the corresponding success rate as influencing the qualification rate if the success rate G1 is more than or equal to the success rate threshold;
counting the occurrence times of the influence qualification rate as C2; performing difference value calculation on the influence percent of pass and a preset percent of pass threshold to obtain an superrate value, and summing all superrate values to obtain a superrate total value W1; calculating by using a formula CW=C2×g3+W1×g4 to obtain an over-rate coefficient CW, wherein g3 and g4 are coefficient factors;
acquiring total times C3 of illegal operations of primary selection personnel in the overhaul process of equipment to be maintained; setting the age of a primary selector as N1, and marking the job entering time length of the primary selector as T1;
calculating the distribution value FP of the primary selection person by using a formula FP= (C1×d1+CW×d2+T1×d3)/(C3×d4) - |N1-35|d5, wherein d1, d2, d3, d4 and d5 are all coefficient factors; d1 takes on a value of 0.15, d2 takes on a value of 0.25, d3 takes on a value of 0.61, and d4 takes on a value of 0.12;
step 3: sorting the primary selection personnel according to the distribution value; selecting a corresponding number of primary selection personnel as the selected maintenance personnel of the task to be allocated according to the sorting of the primary selection personnel; the task to be distributed is sent to a mobile phone terminal of a selected maintainer;
the working principle of the invention is as follows: according to the power grid data acquisition system, the fault point can be known in time by acquiring the operation parameters of the secondary equipment in the transformer substation in the power grid and analyzing and judging the fault, and then the equipment maintenance module is utilized according to the fault point, so that the fault generated by the secondary equipment can be rapidly and comprehensively checked, and the normal operation of the power grid equipment is ensured.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (6)
1. A power grid data acquisition system, comprising:
the data acquisition unit acquires operation parameters of the secondary equipment, wherein the operation parameters comprise a power influence value and a temperature influence value;
the data analysis unit is used for acquiring a power influence value ZPy and a temperature influence value ZPt of the data acquisition unit, and analyzing and processing the power influence value ZPy and the temperature influence value ZPt to obtain an operation performance coefficient of the secondary equipment;
the data processing unit acquires the operation performance coefficient XB of the data analysis unit to the secondary equipment, and compares the acquired operation performance coefficient XB of the secondary equipment with an operation performance coefficient threshold value of the secondary equipment;
and the equipment maintenance module is used for arranging corresponding personnel for on-site inspection and maintenance when the abnormal operation signal of the data processing unit is acquired.
2. The power grid data acquisition system according to claim 1, wherein the power impact value is obtained by:
the method comprises the steps of obtaining real-time power values in an acquisition time period, equally dividing the acquisition time into i detection time periods, obtaining the maximum power value in the detection time i and marking the maximum power value as ZLI, summing the maximum power values ZLI in the acquisition time period and averaging to obtain a power maximum average value ZLp, and comparing the power maximum average value ZLp with a power maximum average threshold value:
if the power maximum average ZLp is greater than the power maximum average threshold, determining a power influence signal, establishing a rectangular coordinate system by taking time as an X axis and taking power as a Y axis, marking n power points in the rectangular coordinate system by taking the starting time of the detection period i and the maximum power value in the detection period i, marking two power points with the maximum ordinate value as high power points, marking two power points with the minimum ordinate value as low power points, sequentially connecting the two high power points and the low power points to obtain a quadrangle, and marking the area value of the quadrangle as a power influence value ZPy.
3. The power grid data acquisition system according to claim 1, wherein the temperature influence value is obtained by:
the method comprises the steps of acquiring real-time temperature values in acquisition time periods, equally dividing the acquisition time into i detection time periods, acquiring the maximum temperature value in the detection time i and marking the maximum temperature value as ZTi, summing the maximum temperature value ZTi in the acquisition time periods and averaging to obtain a maximum temperature average value ZTp, and comparing the maximum temperature average value ZTp with a maximum temperature average threshold value:
if the maximum average value ZTp of the temperatures is greater than the maximum average threshold of the temperatures, determining a temperature influence signal, establishing a rectangular coordinate system by taking time as an X axis and taking temperature as a Y axis, marking n temperature points in the rectangular coordinate system by taking the starting time of the detection period i and the maximum temperature value in the detection period i, marking two temperature points with the maximum ordinate value as high temperature points, marking two temperature points with the minimum ordinate value as low temperature points, sequentially connecting the two high temperature points and the low temperature points to obtain a quadrangle, and marking the area value of the quadrangle as a temperature influence value ZPt.
4. The power grid data acquisition system according to claim 1, wherein the data analysis unit specifically works as follows:
substituting the obtained power influence value ZPy and temperature influence value ZPt into a formula XB= (a1× ZPy +a2× ZPt)/(a1+a2), and calculating to obtain an operation performance coefficient XB of the secondary equipment; wherein a1 and a2 are proportionality coefficients.
5. The power grid data acquisition system according to claim 1, wherein an operation anomaly signal is generated if an operation performance coefficient XB of the secondary device is greater than or equal to an operation performance coefficient threshold of the secondary device;
and if the operation performance coefficient XB of the secondary equipment is smaller than the operation performance coefficient threshold value of the secondary equipment, generating an operation normal signal.
6. The power grid data acquisition system according to claim 1, wherein the equipment maintenance module specifically works as follows:
step 1: the secondary equipment which acquires the operation abnormal signal of the data processing unit correspondingly acquires the operation performance coefficient XB of the corresponding secondary equipment, marks the operation performance coefficient XB as equipment to be maintained, and arranges the operation performance coefficients XB from large to small;
step 2: marking the maintainer in the idle state as a primary selector; counting the number of times that a primary selector completes maintenance tasks of equipment to be maintained and marking the number of times as a target maintenance number C1;
the success rate G1 of the primary selection personnel when finishing the maintenance task of the equipment to be maintained each time is obtained, and the success rate is further analyzed to obtain the over-rate coefficient CW, which comprises the following steps:
comparing the success rate G1 with a preset success rate threshold, and marking the corresponding success rate as influencing the qualification rate if the success rate G1 is more than or equal to the success rate threshold;
counting the occurrence times of the influence qualification rate as C2; performing difference value calculation on the influence percent of pass and a preset percent of pass threshold to obtain an superrate value, and summing all superrate values to obtain a superrate total value W1; calculating by using a formula CW=C2×g3+W1×g4 to obtain an over-rate coefficient CW, wherein g3 and g4 are coefficient factors;
acquiring total times C3 of illegal operations of primary selection personnel in the overhaul process of equipment to be maintained; setting the age of a primary selector as N1, and marking the job entering time length of the primary selector as T1;
the distribution value FP of the primary selector is calculated by using the formula FP= (C1×d1+CW×d2+T1×d3)/(C3×d4) - |N1-35|d5, wherein d1, d2, d3, d4 and d5 are all coefficient factors.
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