CN117522380A - Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance - Google Patents

Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance Download PDF

Info

Publication number
CN117522380A
CN117522380A CN202311542608.2A CN202311542608A CN117522380A CN 117522380 A CN117522380 A CN 117522380A CN 202311542608 A CN202311542608 A CN 202311542608A CN 117522380 A CN117522380 A CN 117522380A
Authority
CN
China
Prior art keywords
abnormal
unit
maintenance
trend
curve
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.)
Pending
Application number
CN202311542608.2A
Other languages
Chinese (zh)
Inventor
朱怿
阮新宇
黄欢
沈义
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changshu Pufa Second Thermoelectric Energy Co ltd
Original Assignee
Changshu Pufa Second Thermoelectric Energy Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Changshu Pufa Second Thermoelectric Energy Co ltd filed Critical Changshu Pufa Second Thermoelectric Energy Co ltd
Priority to CN202311542608.2A priority Critical patent/CN117522380A/en
Publication of CN117522380A publication Critical patent/CN117522380A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2433Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The invention discloses a failure mechanism operation and maintenance period management system based on thermoelectric operation and maintenance, which relates to the technical field of thermoelectric operation and maintenance, solves the problems that an original failure detection mode is time-consuming and labor-consuming, meanwhile, the accuracy of the failure detection mode cannot be guaranteed, misjudgment is easy to occur, and the marked linkage units are sequentially subjected to power curve analysis, the curves of the same trend are determined, the influence values of the curves are determined, and then step-by-step analysis is performed to judge whether a front-end unit affects the unit due to abnormality or whether the two units have abnormality conditions.

Description

Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance
Technical Field
The invention belongs to the technical field of thermoelectric operation and maintenance, and particularly relates to a failure mechanism operation and maintenance period management system based on thermoelectric operation and maintenance.
Background
With the continuous development of society, electric power resources are more and more valued by various industries, and the electric power demand is also in a trend of increasing year by year; however, the electricity demand is continuously improved, a great number of fault problems can be certainly caused, and the problems of overhauling and processing are solved, so that effective and reasonable suggestions are provided on the basis of overhauling, the frequency of faults is reduced, and the problems which need to be dealt with at present are solved.
The patent publication No. CN116128472A discloses a power distribution room fault operation and maintenance management method and system, wherein whether the power distribution room is abnormal or not is judged by judging whether a dynamic data set used for representing the current operation state of the power distribution room exceeds the threshold range of operation parameters in any monitoring period, then a corresponding fault code and a fault operation and maintenance grade are determined according to abnormal parameter information and a fault database, and an operation and maintenance work order is generated by combining corresponding static information; dynamically optimizing the queuing sequence of the operation and maintenance worksheets in the task pool according to the fault operation and maintenance level to generate a current optimal dispatching worksheet queue; and extracting an operation and maintenance work order reaching the dispatch condition from the current optimal dispatch queue, and generating a corresponding operation and maintenance instruction by combining current operation and maintenance resources and online map service information. The invention realizes the automatic and standardized management of the fault operation and maintenance of the power distribution room, and improves the fault operation and maintenance management efficiency of the power distribution room.
In the process of fault operation and maintenance management, the thermoelectric operation and maintenance internal equipment can identify the equipment with abnormality generally through data monitoring, but the identification processing mode is single, if the abnormal equipment with mutual linkage exists, the equipment with multiple linkages needs to be simultaneously maintained and detected, the mode is time-consuming and labor-consuming, meanwhile, the accuracy of the equipment can not be ensured, and misjudgment is easy to generate.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides a failure mechanism operation and maintenance period management system based on thermoelectric operation and maintenance, which is used for solving the technical problems that an original failure detection mode is time-consuming and labor-consuming, the accuracy of the failure detection mode cannot be ensured, and misjudgment is easy to occur.
To achieve the above object, an embodiment according to a first aspect of the present invention proposes a failure mechanism operation and maintenance period management system based on thermoelectric operation and maintenance, including:
the thermoelectric data acquisition end is used for acquiring power parameters of different units in the thermoelectric operation and maintenance process in real time and transmitting the acquired power parameters to the abnormal unit judgment end;
the abnormal unit judging end determines a standard power interval of the corresponding unit according to the power parameters acquired in real time, and then judges whether the power parameters of the corresponding unit are abnormal or not, wherein the specific mode is as follows:
calibrating the power parameters acquired in real time as GL i Wherein i represents different units, when GL i When ∉ standard power intervals are set, the time point is marked as an abnormal time point, wherein the standard power intervals are preset intervals, and each different unit has a corresponding standard power interval, and when GL i When the power is in the E standard power interval, no treatment is carried out;
taking the abnormal time point as a starting time point, extending a monitoring period T backwards, and determining GL in the monitoring period T i The specific duration of ∉ standard power interval is marked as SC, the duration of SC in the monitoring period T is determined to be the ratio ZB=SC/T, and whether the duration ratio ZB meets the following conditions or not is determined: ZB is larger than Y1, wherein Y1 is a preset value, the specific value is determined by an operator according to experience, if the specific value is met, the unit is calibrated as an abnormal unit, otherwise, no processing is carried out, and the calibrated abnormal unit is transmitted to a locking end of the linkage unit;
the interlocking machine set locking end locks the front interlocking machine set of the abnormal machine set according to the determined abnormal machine set, and then determines whether the front interlocking machine set has the abnormal machine set or not, and the specific mode is as follows:
determining an abnormal time point according to the determined abnormal unit, and calibrating the abnormal time point as SJ, wherein the abnormal time point is an initial time point corresponding to a monitoring period T, and the unit is determined as the abnormal unit when the monitoring period T is finished;
the front end linkage unit for determining the abnormal unit belongs to the abnormal unitThe calibration is that the front-end abnormal unit is marked, then the abnormal time point of the front-end abnormal unit is determined by adopting a judgment mode of the abnormal time point of the abnormal unit, and the front-end abnormal unit is marked as Y k Wherein k represents different front-end exception units;
if |SJ-Y k If the value of Y2 is less than or equal to Y2, calibrating the corresponding front-end abnormal unit as a front-end abnormal linkage unit, wherein Y2 is a preset value, the specific value is empirically drawn by an operator, and if the value is equal to or less than SJ-Y k I is more than Y2, and no marking treatment is carried out;
the linkage unit data acquisition end is used for acquiring the power parameters generated in the determined front-end abnormal linkage unit and transmitting the acquired power parameters to the main test center;
the main test center preferentially determines a group of monitoring periods, comprehensively analyzes the power parameters generated by the front-end abnormal linkage unit and the power parameters generated by the abnormal unit in the monitoring periods, and judges whether the front-end abnormal linkage unit has great influence on the abnormal unit or not, and the specific mode is as follows:
in the monitoring period, the power parameters generated by the front-end abnormal linkage unit are set up according to the trend of time to construct a front-end unit fluctuation curve, and then the front-end unit fluctuation curve is constructed according to the power parameters generated by the abnormal unit;
determining a curve trend of a front-end unit fluctuation curve and a curve trend of a unit fluctuation curve, if the value of a point position behind the curve is larger than the value of a point position in front, calibrating the curve trend as an ascending trend, and assigning 1, if the value of the point position behind the curve is equal to the value of the point position in front, calibrating the curve trend as a stable trend, and assigning 0, and if the value of the point position behind the curve is smaller than the value of the point position in front, calibrating the curve trend as a descending trend, and assigning 2, and generating a trend code corresponding to the fluctuation curve by assigning;
according to the determined trend codes, determining that different times exist in the numerical values at the same position between the two groups of fluctuation curves, if the times are more than 5, directly generating an abnormal signal of the unit and an abnormal signal of the former unit, displaying the abnormal signals through a display end, and otherwise, performing the next processing;
determining two groups of areas with the same trend coding values, locking corresponding fluctuation curve line segments, determining time difference values between the two groups of fluctuation curve line segments, calibrating the time difference values to be S1, determining the time difference values between the two groups of fluctuation curve line segments corresponding to other areas with the same values, calibrating the time difference values to be St, wherein t=1, 2, … … and n, n represent the number of the areas with the same trend coding values, and carrying out summation treatment on the n St to obtain a time total parameter SZ;
analyzing whether the total time parameter SZ meets the following conditions: SZ is greater than Y3, wherein Y3 is a preset value, if yes, it means that abnormal conditions may exist between two sets of units, then the data main monitoring center is used for carrying out analysis and processing again, if not, it means that the abnormal unit is greatly influenced by the front-end abnormal linkage unit, the front-end unit abnormal signal is directly generated, and the front-end unit abnormal signal is displayed through the display end.
Preferably, the system also comprises a data main monitoring center for monitoring the voltage of the abnormal unit and the front-end abnormal linkage unit, and determining whether the abnormal conditions exist in the two sets of units or not by analyzing the fluctuation conditions between the power, thereby locking the abnormal units; the specific method is as follows:
the working voltages of the two units are adjusted to the standard voltage, so that the two units operate normally, the power parameters generated by the units are determined, the power parameters generated by the front-end abnormal linkage unit are calibrated to be G1, and the power parameters generated by the abnormal unit are calibrated to be G2;
when the difference value between the power parameter generated by the corresponding unit and the power parameter at the previous time point exceeds Y4, recording fluctuation once, wherein Y4 is a preset value, when fluctuation occurs, starting to record, if the fluctuation times continuously exceed 5 times within the subsequent 10min, representing the unit as an abnormal unit, marking, displaying through a display end, and allowing outside personnel to check.
Compared with the prior art, the invention has the beneficial effects that: firstly, parameter analysis is carried out through acquired parameter data to determine an abnormal unit, then, other linkage units existing at the front end of the abnormal unit are locked, whether the abnormal time points of the other linkage units are consistent with the time line of the abnormal unit is analyzed through analysis of abnormal time points among the other linkage units, marking is carried out, in order to achieve a good fault mechanism operation and maintenance period management effect, whether the front end of the abnormal unit exists a corresponding abnormal unit is needed to be determined, then, from the existing abnormal unit, the time points are determined again, the corresponding unit with the same time point can be locked from the determined abnormal time points, so that the unit with mutual influence can be determined, overall analysis is carried out on the unit with mutual influence, and the overall operation and maintenance management effect is determined;
and then, sequentially carrying out power curve analysis on the marked linkage units, determining the curves with the same trend, determining the influence values of the curves, carrying out gradual analysis, judging whether the front-end unit influences the unit due to abnormality or not, and judging whether the two units have abnormality conditions or not.
Drawings
Fig. 1 is a schematic diagram of a principle frame of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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 present application provides a fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance, which includes a thermoelectric data acquisition end, an abnormal unit determination end, a linkage unit locking end, a linkage unit data acquisition end, a main test center, a data main monitoring center and a display end;
the thermoelectric data acquisition end is electrically connected with the input node of the abnormal unit judgment end, the linkage unit locking end and the linkage unit data acquisition end are sequentially electrically connected from the output node to the input node, the linkage unit data acquisition end is electrically connected from the output node to the input node of the main test center, and the main test center is respectively electrically connected with the data main monitoring center and the input node of the display end;
the thermoelectric data acquisition end is used for acquiring power parameters of different units in the thermoelectric operation and maintenance process in real time and transmitting the acquired power parameters to the abnormal unit judgment end;
the abnormal unit judging end determines a standard power interval of the corresponding unit according to the power parameters acquired in real time, then judges whether the power parameters of the corresponding unit are abnormal or not, and determines the abnormal unit, wherein the specific mode for determining the abnormal unit is as follows:
calibrating the power parameters acquired in real time as GL i Wherein i represents different units, when GL i When ∉ standard power intervals are set, the time point is marked as an abnormal time point, wherein the standard power intervals are preset intervals, and each different unit has a corresponding standard power interval, and when GL i When the power is in the E standard power interval, no treatment is carried out, and the specific numerical value is drawn up by an operator according to experience;
taking the abnormal time point as a starting time point, extending a monitoring period T backwards, and determining GL in the monitoring period T i The specific duration of ∉ standard power interval is marked as SC, the duration of SC in the monitoring period T is determined to be the ratio ZB=SC/T, and whether the duration ratio ZB meets the following conditions or not is determined: ZB > Y1, wherein Y1 is a preset value, the specific value is determined by an operator according to experience, if the specific value is satisfied, the unit is calibrated as an abnormal unit, otherwise, no processing is performed, and the calibrated abnormal unit is transmitted to the locking end of the linkage unit.
Specifically, when each normal unit works, the corresponding power parameter is generated in real time, the corresponding power standard is preset for each unit, the end values of the two sides of the power standard are preset values, the normal power parameter generated by the unit in the normal working state is represented by abnormality of the power parameter when the monitored power parameter far exceeds the power standard, and if abnormality occurs due to a certain fluctuation, the corresponding abnormal unit can be locked by determining the time length and the duty ratio.
The locking end of the linkage machine set locks the front end linkage machine set of the abnormal machine set according to the determined abnormal machine set, then determines whether the front end linkage machine set has the abnormal machine set, if so, determines the abnormal time point of the front end abnormal machine set, performs time analysis, and determines the front end abnormal linkage machine set with the same abnormal time period, and the specific mode is as follows:
determining an abnormal time point according to the determined abnormal unit, and calibrating the abnormal time point as SJ, wherein the abnormal time point is an initial time point corresponding to a monitoring period T, and the unit is determined as the abnormal unit when the monitoring period T is finished;
determining the front-end linkage unit of the abnormal unit, calibrating the front-end linkage unit belonging to the abnormal unit as a front-end abnormal unit, determining the abnormal time point of the front-end abnormal unit by adopting a judgment mode of the abnormal time point of the abnormal unit, and calibrating the front-end linkage unit as Y k Wherein k represents different front-end exception units;
if |SJ-Y k If the value of Y2 is less than or equal to Y2, calibrating the corresponding front-end abnormal unit as a front-end abnormal linkage unit, wherein Y2 is a preset value, the specific value is empirically drawn by an operator, and if the value is equal to or less than SJ-Y k I is more than Y2, and no marking treatment is carried out;
specifically, in order to achieve a better management effect of the operation and maintenance period of the failure mechanism, it is required to determine whether a corresponding abnormal unit exists at the front end of the abnormal unit, then, from the existing abnormal unit, a time point is determined, and from the determined abnormal time point, the corresponding unit with the same time point can be locked, so that the unit with the mutual influence can be determined, and therefore, the unit with the mutual influence is comprehensively analyzed, and the overall management effect of operation and maintenance is determined.
The linkage unit data acquisition end acquires the power parameters generated in the determined front-end abnormal linkage unit and transmits the acquired power parameters to the main test center;
the main test center preferentially determines a group of monitoring periods, comprehensively analyzes the power parameters generated by the front-end abnormal linkage unit and the power parameters generated by the abnormal unit in the monitoring periods, judges whether the front-end abnormal linkage unit has great influence on the abnormal unit, and judges the specific mode as follows:
in the monitoring period, the power parameters generated by the front-end abnormal linkage unit are set up according to the trend of time to construct a front-end unit fluctuation curve, and then the front-end unit fluctuation curve is constructed according to the power parameters generated by the abnormal unit;
determining a curve trend of a front-end unit fluctuation curve and a curve trend of a unit fluctuation curve, if the value of a point position behind the curve is larger than the value of a point position in front, calibrating the curve trend as an ascending trend, and assigning 1, if the value of the point position behind the curve is equal to the value of the point position in front, calibrating the curve trend as a stable trend, and assigning 0, and if the value of the point position behind the curve is smaller than the value of the point position in front, calibrating the curve trend as a descending trend, and assigning 2, and generating a trend code corresponding to the fluctuation curve by assigning;
according to the determined trend codes, determining that different times exist in the numerical values at the same position between two groups of fluctuation curves, if the times are more than 5, directly generating the unit abnormal signals and the former unit abnormal signals, displaying the signals through a display end, otherwise, carrying out the next processing, specifically, if too many areas with different trend exist between the two fluctuation curves, representing that the two units have mutual influence, but too many different areas can only indicate that the two units have abnormal conditions, if one group of abnormal units affects the other normal unit, the fluctuation curves between the two units are completely consistent, or factor value fluctuation is caused, and certain areas are inconsistent, but the situation that the fluctuation curves are excessively inconsistent is not caused;
determining two groups of areas with the same trend coding values, locking corresponding fluctuation curve line segments, determining time difference values between the two groups of fluctuation curve line segments, calibrating the time difference values to be S1, determining the time difference values between the two groups of fluctuation curve line segments corresponding to other areas with the same values, calibrating the time difference values to be St, wherein t=1, 2, … … and n, n represent the number of the areas with the same trend coding values, and carrying out summation treatment on the n St to obtain a time total parameter SZ;
analyzing whether the total time parameter SZ meets the following conditions: SZ is greater than Y3, wherein Y3 is a preset value, the specific value is drawn by an operator according to experience, if the specific value is satisfied, the analysis and the treatment are performed again through a data main monitoring center, if the specific value is not satisfied, the abnormal unit is greatly influenced by a front-end abnormal linkage unit, a front-end unit abnormal signal is directly generated, and the abnormal signal is displayed through a display end;
specifically, curves with the same numerical value area are provided with corresponding time intervals, and the difference between the two curves can be locked by analyzing the time difference between the different curves, wherein in order to distinguish whether the two units are abnormal at the same time, numerical comparison is needed, so that the abnormal condition between the units is determined, and generation of abnormal signals of the units is confirmed.
Example two
The data main monitoring center monitors voltages of the abnormal unit and the front-end abnormal linkage unit, determines whether the abnormal conditions exist in the two groups of units or not by analyzing fluctuation conditions among power, and locks the abnormal unit, wherein the specific mode for determining is as follows:
the working voltages of the two units are adjusted to the standard voltage, so that the two units operate normally, the power parameters generated by the units are determined, the power parameters generated by the front-end abnormal linkage unit are calibrated to be G1, and the power parameters generated by the abnormal unit are calibrated to be G2;
when the difference value between the power parameter generated by the corresponding unit and the power parameter at the previous time point exceeds Y4, recording fluctuation once, wherein Y4 is a preset value, the specific value is drawn by an operator according to experience, when the fluctuation occurs, starting to record, if the fluctuation times continuously exceed 5 times in the subsequent 10min, the unit is represented as an abnormal unit, marking is carried out, and the unit is displayed through a display end for an external person to check, and timely response measures are taken.
Specifically, firstly, parameter analysis is carried out through the acquired parameter data to determine an abnormal unit, then, other linkage units existing at the front end of the abnormal unit are locked, and whether the abnormal time points are consistent with the time line of the abnormal unit or not is analyzed and marked through the analysis of the abnormal time points among the other linkage units;
and then, sequentially carrying out power curve analysis on the marked linkage units, determining the curves with the same trend, determining the influence values of the curves, carrying out gradual analysis, judging whether the front-end unit influences the unit due to abnormality or not, and judging whether the two units have abnormality conditions or not.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.

Claims (6)

1. The fault mechanism operation and maintenance period management system based on the thermoelectric operation and maintenance is characterized by comprising:
the thermoelectric data acquisition end is used for acquiring power parameters of different units in the thermoelectric operation and maintenance process in real time and transmitting the acquired power parameters to the abnormal unit judgment end;
the abnormal unit judging end is used for determining a standard power interval of the corresponding unit according to the power parameters acquired in real time, then judging whether the power parameters of the corresponding unit are abnormal or not, and determining an abnormal unit;
the interlocking machine set locking end locks the front interlocking machine set of the abnormal machine set according to the determined abnormal machine set, then determines whether the front interlocking machine set has the abnormal machine set, if so, determines the abnormal time point of the front abnormal machine set, performs time analysis, and determines the front abnormal interlocking machine set with the same abnormal time period;
the linkage unit data acquisition end is used for acquiring the power parameters generated in the determined front-end abnormal linkage unit and transmitting the acquired power parameters to the main test center;
the main test center preferentially determines a group of monitoring periods, comprehensively analyzes the power parameters generated by the front-end abnormal linkage unit and the power parameters generated by the abnormal unit in the monitoring periods, and judges whether the front-end abnormal linkage unit has great influence on the abnormal unit or not.
2. The thermoelectric operation and maintenance-based fault mechanism operation and maintenance period management system according to claim 1, wherein the abnormal unit determining terminal determines the specific mode of the abnormal unit as follows:
calibrating the power parameters acquired in real time as GL i Wherein i represents different units, when GL i When ∉ standard power intervals are set, the time point is marked as an abnormal time point, wherein the standard power intervals are preset intervals, and each different unit has a corresponding standard power interval, and when GL i When the power is in the E standard power interval, no treatment is carried out;
taking the abnormal time point as a starting time point, extending a monitoring period T backwards, and determining GL in the monitoring period T i Specific duration of ∉ standard power interval is calibrated as SC, the duration of SC in the monitoring period T is determined to be ZB=SC/T, and the determination duration is determined to be equal toWhether the ratio ZB satisfies: ZB > Y1, wherein Y1 is a preset value, the specific value is determined by an operator according to experience, if the specific value is satisfied, the unit is calibrated as an abnormal unit, otherwise, no processing is performed, and the calibrated abnormal unit is transmitted to the locking end of the linkage unit.
3. The thermoelectric operation and maintenance-based fault mechanism operation and maintenance period management system according to claim 1, wherein the specific mode of determining the front-end abnormal linkage unit by the linkage unit locking end is as follows:
determining an abnormal time point according to the determined abnormal unit, and calibrating the abnormal time point as SJ, wherein the abnormal time point is an initial time point corresponding to a monitoring period T, and the unit is determined as the abnormal unit when the monitoring period T is finished;
determining the front-end linkage unit of the abnormal unit, calibrating the front-end linkage unit belonging to the abnormal unit as a front-end abnormal unit, determining the abnormal time point of the front-end abnormal unit by adopting a judgment mode of the abnormal time point of the abnormal unit, and calibrating the front-end linkage unit as Y k Wherein k represents different front-end exception units;
if |SJ-Y k If the value of Y2 is less than or equal to Y2, calibrating the corresponding front-end abnormal unit as a front-end abnormal linkage unit, wherein Y2 is a preset value, the specific value is empirically drawn by an operator, and if the value is equal to or less than SJ-Y k And I > Y2, no marking is performed.
4. The thermoelectric operation and maintenance based fault mechanism operation and maintenance period management system according to claim 1, wherein the main test center performs the comprehensive determination in the following specific ways:
in the monitoring period, the power parameters generated by the front-end abnormal linkage unit are set up according to the trend of time to construct a front-end unit fluctuation curve, and then the front-end unit fluctuation curve is constructed according to the power parameters generated by the abnormal unit;
determining a curve trend of a front-end unit fluctuation curve and a curve trend of a unit fluctuation curve, if the value of a point position behind the curve is larger than the value of a point position in front, calibrating the curve trend as an ascending trend, and assigning 1, if the value of the point position behind the curve is equal to the value of the point position in front, calibrating the curve trend as a stable trend, and assigning 0, and if the value of the point position behind the curve is smaller than the value of the point position in front, calibrating the curve trend as a descending trend, and assigning 2, and generating a trend code corresponding to the fluctuation curve by assigning;
according to the determined trend codes, determining that different times exist in the numerical values at the same position between the two groups of fluctuation curves, if the times are more than 5, directly generating an abnormal signal of the unit and an abnormal signal of the former unit, displaying the abnormal signals through a display end, and otherwise, performing the next processing;
determining two groups of areas with the same trend coding values, locking corresponding fluctuation curve line segments, determining time difference values between the two groups of fluctuation curve line segments, calibrating the time difference values to be S1, determining the time difference values between the two groups of fluctuation curve line segments corresponding to other areas with the same values, calibrating the time difference values to be St, wherein t=1, 2, … … and n, n represent the number of the areas with the same trend coding values, and carrying out summation treatment on the n St to obtain a time total parameter SZ;
analyzing whether the total time parameter SZ meets the following conditions: SZ is greater than Y3, wherein Y3 is a preset value, if yes, it means that abnormal conditions may exist between two sets of units, then the data main monitoring center is used for carrying out analysis and processing again, if not, it means that the abnormal unit is greatly influenced by the front-end abnormal linkage unit, the front-end unit abnormal signal is directly generated, and the front-end unit abnormal signal is displayed through the display end.
5. The thermoelectric operation and maintenance-based fault mechanism operation and maintenance period management system according to claim 4, further comprising a data main monitoring center, wherein the voltage of the abnormal unit and the front-end abnormal linkage unit is monitored, and whether the abnormal conditions exist in both units is determined by analyzing the fluctuation conditions between the power, so that the abnormal unit is locked.
6. The thermoelectric operation and maintenance-based fault mechanism operation and maintenance period management system according to claim 5, wherein the specific mode of the data main monitoring center for monitoring the voltage of the abnormal unit and the front-end abnormal linkage unit is as follows:
the working voltages of the two units are adjusted to the standard voltage, so that the two units operate normally, the power parameters generated by the units are determined, the power parameters generated by the front-end abnormal linkage unit are calibrated to be G1, and the power parameters generated by the abnormal unit are calibrated to be G2;
when the difference value between the power parameter generated by the corresponding unit and the power parameter at the previous time point exceeds Y4, recording fluctuation once, wherein Y4 is a preset value, when fluctuation occurs, starting to record, if the fluctuation times continuously exceed 5 times within the subsequent 10min, representing the unit as an abnormal unit, marking, displaying through a display end, and allowing outside personnel to check.
CN202311542608.2A 2023-11-20 2023-11-20 Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance Pending CN117522380A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311542608.2A CN117522380A (en) 2023-11-20 2023-11-20 Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311542608.2A CN117522380A (en) 2023-11-20 2023-11-20 Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance

Publications (1)

Publication Number Publication Date
CN117522380A true CN117522380A (en) 2024-02-06

Family

ID=89747311

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311542608.2A Pending CN117522380A (en) 2023-11-20 2023-11-20 Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance

Country Status (1)

Country Link
CN (1) CN117522380A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118035925A (en) * 2024-04-11 2024-05-14 国网信息通信产业集团有限公司 Data processing system based on electric power big model

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118035925A (en) * 2024-04-11 2024-05-14 国网信息通信产业集团有限公司 Data processing system based on electric power big model

Similar Documents

Publication Publication Date Title
CN117522380A (en) Fault mechanism operation and maintenance period management system based on thermoelectric operation and maintenance
CN116381563B (en) Underground power cable monitoring method and device
CN113298498B (en) Management system based on industrial Internet of things platform
US20240142063A1 (en) Method for troubleshooting potential safety hazards of compressor in smart gas pipeline network and internet of things system thereof
CN113762604B (en) Industrial Internet big data service system
CN115469176A (en) Digital twin power grid risk assessment system based on data model
CN116205637B (en) Intelligent factory management system based on Internet of things and industrial big data
CN116185757B (en) Intelligent monitoring system for energy consumption of machine room
CN115640860B (en) Electromechanical equipment remote maintenance method and system for industrial cloud service
CN116882946B (en) Intelligent management system and method based on power generation enterprise data
CN114928168A (en) Offshore platform unmanned data edge computing device
CN113641667B (en) Data abnormity monitoring system and method of distributed big data acquisition platform
CN115062901A (en) Assessment method for electric power informatization comprehensive performance
CN101807314A (en) Method for processing embedded vehicle working condition hybrid heterogeneous data information in real time
CN105096217B (en) A kind of automatic power-measuring terminal communications status prediction technique and system
CN114167282B (en) Motor fault diagnosis and degradation trend prediction system
CN115187026A (en) Industrial risk monitoring method and system and readable storage medium
CN114142619B (en) Overhauling determining method and device for telemechanical device
CN116773238B (en) Fault monitoring method and system based on industrial data
CN117873007B (en) Manufacturing flow management method, system, equipment and medium based on industrial Internet of things
CN116433034B (en) Virtual power plant operation risk detection method based on machine learning
CN116256691B (en) Electric energy meter misalignment online monitoring method and system
CN117763471A (en) Digital power distribution network fault processing system and method
CN113911870B (en) Elevator on-line inspection and detection method based on Internet of things
CN112381373A (en) Method, device and system for identifying weak link equipment of power distribution network

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