CN117528287B - Hierarchical early warning system based on electric power material data monitoring - Google Patents
Hierarchical early warning system based on electric power material data monitoring Download PDFInfo
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- 230000007613 environmental effect Effects 0.000 claims description 130
- 238000001556 precipitation Methods 0.000 claims description 122
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- 239000002305 electric material Substances 0.000 claims description 12
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Abstract
The invention relates to the technical field of electric power material monitoring, in particular to a grading early warning system based on electric power material data monitoring. According to the invention, the real-time environment information of the online electric power supplies is monitored in real time by the monitoring unit, the conventional real-time environment information is screened by the screening unit, the storage pressure of the monitoring database is relieved, meanwhile, the reliability score of the online electric power supplies is set, the calculation processing unit determines and corrects the correction mode of the reliability score in the monitoring calculation period according to the update state of the real-time environment information in the monitoring database, the actual reliability of the online electric power supplies is represented by the reliability score of the online electric power supplies, and the online electric power supplies are accurately classified and early warned by the early warning unit according to the reliability score corrected in each monitoring calculation period.
Description
Technical Field
The invention relates to the technical field of electric power material monitoring, in particular to a grading early warning system based on electric power material data monitoring.
Background
The electric power supplies are basic guarantees in the power grid construction process, the quality of the electric power supplies is closely related to the safe operation of the power grid, a relatively perfect material information management system is established, but the data monitoring of the electric power supplies is still relatively general, particularly the online electric power supplies which are put into use are obtained in a regular manual field detection mode, the electric power supply monitoring data detected in the manual field are generally detected by using nodes to be approximate, the time continuity of the electric power supply monitoring data is poor, and the online early warning of the electric power supplies is difficult to realize through the data monitoring of the electric power supplies.
Chinese patent publication No.: CN113660552A discloses an intelligent early warning system and method for a power cable; the technical point is that the cable state and the environmental parameters are respectively judged and pre-warned by setting the acquisition terminals, and the thresholds are respectively set for any parameter affecting the use of the cable, so that in the existing electric power material pre-warning, the monitoring parameter type pre-warning is complex, the comprehensive intelligent judgment is lacking, the accurate grading pre-warning is difficult to realize, the pre-warning combination reliability and the reference of the existing electric power material automatic pre-warning system are low, the monitoring personnel often directly neglects or manually closes the online pre-warning, and the actual electric power material data monitoring is also subject to the manual field overhaul.
Disclosure of Invention
Therefore, the invention provides a grading early warning system based on electric power material data monitoring, which is used for solving the problems of complex electric power material early warning types and lack of high-reliability comprehensive grading early warning in the prior art.
In order to achieve the above object, the present invention provides a hierarchical early warning system based on power material data monitoring, comprising,
The monitoring unit comprises an environment monitoring module and a material monitoring module, wherein the environment monitoring module is used for collecting real-time environment information of online electric power materials in real time, the real-time environment information comprises environment wind power data, environment temperature data, illumination intensity data and real-time precipitation data, and the material monitoring module is used for collecting material temperature data and material state data of the online electric power materials in real time;
The screening unit is connected with the environment monitoring module, and can judge the real-time environment information acquired by the environment monitoring module in real time according to the standard environment information set inside, so as to determine whether to screen and store the real-time environment information;
The monitoring database is connected with the screening unit and the material monitoring module and is used for storing real-time environment information screened by the screening unit, material temperature data and material state data acquired by the material monitoring module, and the reliability score of the online electric material is also stored in the monitoring database;
The calculation processing unit is respectively connected with the monitoring database and the material monitoring module, can judge the update of the real-time environment information of the corresponding online electric material stored in the monitoring database, acquires the reliability score of the online electric material when the real-time environment information is not updated, corrects the reliability score according to the running loss score of the online electric material in a set monitoring calculation period, and calculates the real-time running loss score in the current monitoring calculation period according to the updated data type and the abnormal occupation ratio of the updated time length in the real-time environment information in the monitoring calculation period when the real-time environment information is updated;
The early warning unit is connected with the calculation processing unit, a plurality of preset early warning scores are arranged in the early warning unit, and when the calculation processing unit updates the reliability scores of the online electric power materials, the early warning unit judges the reliability scores according to the preset early warning scores and determines early warning grades according to judging results to carry out grading early warning.
Furthermore, the screening unit is internally provided with standard environmental wind power and standard environmental precipitation, the screening unit is internally provided with a storage module, the screening unit can acquire the environmental wind power data and the real-time precipitation data acquired by the environmental monitoring module,
When the environmental wind power data is lower than or equal to the standard environmental wind power, the screening unit deletes the currently collected environmental wind power data and does not store the same, and when the environmental wind power data is higher than the standard environmental wind power, the screening unit stores the environmental wind power data collected by the environmental monitoring module into the monitoring database;
When the real-time precipitation data is lower than or equal to the standard environmental precipitation, the screening unit deletes the currently collected real-time precipitation data and does not store the same, when the real-time precipitation data is higher than the standard environmental precipitation, the screening unit stores the currently collected real-time precipitation data through the storage module and records the continuous storage time length of the real-time precipitation data higher than the standard environmental precipitation to judge, so as to determine whether to store the real-time precipitation data stored by the storage module to the monitoring database.
Further, the screening unit is internally provided with effective duration of precipitation, when the storage module stores the currently collected real-time precipitation data, the screening unit obtains the duration of the real-time precipitation data stored in the storage module and continuously higher than the standard environment precipitation, and compares the real-time duration of the real-time precipitation data with the effective duration of precipitation,
If the continuous storage duration is smaller than the effective duration of precipitation and the stored real-time precipitation data are lower than or equal to the standard environmental precipitation, the storage module interrupts the storage of the real-time precipitation data, and the screening unit deletes the stored real-time precipitation data in the storage module;
and if the continuous storage time length is greater than or equal to the effective duration of precipitation, the screening unit stores the real-time precipitation data stored in the storage module into the monitoring database.
Further, a standard temperature range is also arranged in the screening unit, when the environment monitoring module collects the environment temperature data, the screening unit can compare the environment temperature data with the standard temperature range,
If the environmental temperature data collected by the environmental monitoring module is lower than the standard temperature range, the screening unit stores the environmental temperature data into the monitoring database, deletes the currently collected illumination intensity data and does not store the currently collected illumination intensity data;
if the environmental temperature data collected by the environmental monitoring module is in the standard temperature range, the screening unit judges the currently collected illumination intensity data to determine whether to store the currently collected environmental temperature data and the illumination intensity data;
and if the environmental temperature data acquired by the environmental monitoring module is higher than the standard temperature range, the screening unit stores the environmental temperature data into the monitoring database, deletes the currently acquired illumination intensity data and does not store the currently acquired illumination intensity data.
Further, the screening unit is internally provided with standard illumination intensity, when the environmental temperature data acquired by the environmental monitoring module is within the standard temperature range, the screening unit acquires the current acquired illumination intensity data and judges the current acquired illumination intensity data according to the standard illumination intensity,
If the illumination intensity data is smaller than or equal to the standard illumination intensity, the screening unit deletes the currently acquired environmental temperature data and illumination intensity data and does not store the environmental temperature data and the illumination intensity data through the monitoring database;
And if the illumination intensity data is larger than the standard illumination intensity, the screening unit stores the environmental temperature data and the illumination intensity data which are acquired at present into the monitoring database.
Further, the calculation processing unit is internally provided with a monitoring calculation period and an operation loss score in the monitoring calculation period, and can acquire the update state of the real-time environment information of the online electric power materials in the monitoring database in any monitoring calculation period,
If the real-time environment information of the online electric power supplies is not updated in the current monitoring calculation period, the calculation processing module acquires the reliability scores corresponding to the online electric power supplies in the monitoring database, and corrects the reliability scores according to the running loss scores;
If the real-time environment information of the online electric power supplies is updated in the current monitoring calculation period, the calculation processing unit calculates a real-time running loss score in the current monitoring calculation period according to the updated real-time environment information so as to correct the reliability score stored in the monitoring database;
wherein Kg '=Kg-Ks, ks=100/(Tc/Tj), kg' is the reliability score of the online power supplies after correction, kg is the reliability score stored in the monitoring database, ks is the running loss score corresponding to the online power supplies, tc is the factory service life duration of the online power supplies, and Tj is the monitoring calculation period of the calculation processing unit.
Further, the computing processing unit acquires the updated data type of the real-time environment information when the real-time environment information of the line electric power materials in the current monitoring computing period is updated, wherein the data type comprises the environment wind power data, the environment temperature data and the real-time precipitation data,
If the environment wind power data is updated in the monitoring calculation period, the calculation processing unit acquires the update time of the environment wind power data in the current monitoring calculation period, calculates the abnormal occupation ratio of the wind power data, and calculates a wind power loss score according to the abnormal occupation ratio of the wind power data, the average value of the environment wind power data in the monitoring calculation period and the standard environment wind power;
wherein aa=ta/Tj, ka=ks× [ (Wp-Wb)/Wb ] ×aa, where Aa is an abnormal occupation ratio of wind data, ta is an update duration of environmental wind data in a current monitoring calculation period, ka is a wind loss score, wp is an average value of environmental wind data in the monitoring calculation period, wb is a standard environmental wind;
If the environment temperature data is updated in the monitoring calculation period, the calculation processing unit acquires the illumination intensity data corresponding to the environment temperature data from the monitoring database and judges the illumination intensity data so as to calculate the temperature loss score of the environment temperature data;
If the real-time precipitation data are updated in the monitoring calculation period, the calculation processing unit acquires the update time of the real-time precipitation data in the current monitoring calculation period, calculates the abnormal occupation ratio of the precipitation data, and calculates the precipitation loss score according to the abnormal occupation ratio of the precipitation data and the running loss score;
Wherein am=tm/Tj, km=ks×am, where Am is an abnormal occupation ratio of precipitation data, tm is an update duration of real-time precipitation data in a current monitoring calculation period, and Km is a precipitation loss score;
if the environment wind power data, the environment temperature data or the real-time precipitation data are not updated in the monitoring calculation period, the loss score calculation result of the corresponding data is zero;
The calculation processing unit calculates a real-time running loss score according to the wind power loss score, the temperature loss score, the precipitation loss score and the set running loss score, and corrects the reliability score according to the real-time running loss score;
Wherein, kg' =Kg-Ky, ky=Ka+kn+km+ks, ky is a real-time running loss score, and Kn is a temperature loss score.
Further, when the environment temperature data is updated in the monitoring calculation period, the calculation processing unit acquires the illumination intensity data corresponding to the environment temperature data from the monitoring database to judge,
If the monitoring database does not contain the illumination intensity data corresponding to the environmental temperature data, the computing processing unit acquires the update time of the environmental temperature data in the current monitoring computing period, calculates the abnormal occupation ratio of the temperature data, and calculates the precipitation loss score according to the abnormal occupation ratio of the temperature data and the standard temperature range;
wherein an=tn/Tj, kn=ks× (|pr-pb|/Pb) ×an, an is An abnormal occupation ratio of temperature data, tn is An update duration of the environmental temperature data in the current monitoring calculation period, pr is An average value of the environmental temperature data in the monitoring calculation period, pb is An average value of a standard temperature range, pb= (P2-P1)/2, P2 is a maximum value in the standard temperature range, and P1 is a minimum value in the standard temperature range;
If the illumination intensity data corresponding to the environmental temperature data exists in the monitoring database, the computing processing unit acquires the update time of the environmental temperature data in the current monitoring computing period, calculates the abnormal occupation ratio of the temperature data, and calculates a temperature loss score according to the abnormal occupation ratio of the temperature data, the illumination intensity data and the standard illumination intensity;
Where kn=ks× [ (Ls-Lb)/Lb ] ×an, ls is An average value of the illumination intensity data in the monitoring calculation period, and Lb is the standard illumination intensity.
Further, a first preset early warning score K1, a second preset early warning score K2 and a third preset early warning score K3 are arranged in the early warning unit, wherein K1 is smaller than K2 and smaller than K3, when the calculation processing unit corrects and updates the reliability score of the online electric power material, the early warning unit obtains the corrected reliability score Kg' of the online electric power material and judges,
When Kg' is less than or equal to K1, the early warning unit sends out a first-level early warning prompt of the online electric power material;
When K1 is more than Kg' and less than or equal to K2, the early warning unit sends out a secondary early warning prompt of the online electric power material;
when K2 is less than Kg' and less than or equal to K3, the early warning unit sends out three-level early warning prompt of the online electric power material;
when Kg' > K3, the early warning unit judges that the reliability score of the corrected online electric power material does not reach the early warning standard, and the early warning unit does not carry out early warning prompt on the online electric power material.
Further, the calculation processing unit is also provided with standard material temperature data and standard material state data, and can acquire the material temperature data and the material state data of the online power material acquired in real time in the material monitoring module, and when the material temperature data exceeds the standard material temperature data or the material state data exceeds the standard material state data, the calculation processing unit directly controls the early warning unit to send out a primary early warning prompt of the online power material.
Compared with the prior art, the method has the advantages that the real-time environment information of the online electric power supplies is monitored in real time through the monitoring unit, the conventional real-time environment information is screened through the screening unit, the conventional real-time environment information is not stored and analyzed, the storage pressure of the monitoring database is relieved, meanwhile, the reliability scoring of the online electric power supplies is set in the monitoring database, the computing processing unit determines and corrects the correction mode of the reliability scoring in the monitoring computing period according to the updating state of the real-time environment information in the monitoring database, the actual reliability of the online electric power supplies is represented by the reliability scoring of the online electric power supplies, the online electric power supplies are accurately classified and early-warned through the early warning unit according to the reliability scoring corrected in each monitoring computing period, the electric power supply early warning type is normalized, and comprehensive classified and early warning is accurately and effectively performed.
Further, by setting standard environmental wind power and standard environmental precipitation, the environmental wind power data and the real-time precipitation data acquired by the environmental monitoring module are respectively subjected to conventional judgment, and stored into the monitoring database to serve as abnormal data and analyze and calculate when the environmental wind power data and the real-time precipitation data exceed the set standards, and the environment state of the on-line electric power supplies can be rapidly determined through a conventional data screening mode, so that the storage capacity of the monitoring database is reduced, the processing speed of the stored abnormal data is also improved, the calculation error of the calculation error rate of the calculation processing unit is reduced, and the accuracy of the grading early warning of the electric power supplies is improved.
Further, the effective duration of precipitation is set in the screening unit, the duration of the real-time precipitation data is judged, the influence of air humidity, fog and condensed water in the environment on the on-site precipitation detection equipment is further eliminated, and the air humidity, the fog and the condensed water in the environment are all in the conventional environment condition of the electric power materials and are set as fixed parameters only according to the setting region and seasons, so that abnormality judgment is not needed, and the accuracy of comprehensive grading early warning of the electric power materials is effectively ensured.
Furthermore, the abnormal conditions of the environment where the online electric power supplies are located can be rapidly screened out through setting the standard temperature range, and then the use influence of the illumination intensity data on the electric power supplies is further combined, the screened abnormal data are determined to be stored and analyzed, so that the accuracy of basic environment data of online electric power supply monitoring is improved, and the normal calculation and analysis of the grading early warning system are guaranteed.
Further, the stored reliability scores of the online electric power supplies are corrected through the influence of the environment data types, the normalization processing of the electric power supply early warning types is achieved, and the accurate early warning of the hierarchical early warning system is guaranteed through the real-time performance and the accuracy of the basic data.
Drawings
Fig. 1 is a schematic structural diagram of a hierarchical early warning system based on power material data monitoring in this embodiment.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, which is a schematic structural diagram of a hierarchical early warning system based on power material data monitoring according to the present embodiment, the present embodiment provides a hierarchical early warning system based on power material data monitoring, including,
The monitoring unit comprises an environment monitoring module and a material monitoring module, wherein the environment monitoring module is used for collecting real-time environment information of online electric power materials in real time, the real-time environment information comprises environment wind power data, environment temperature data, illumination intensity data and real-time precipitation data, and the material monitoring module is used for collecting material temperature data and material state data of the online electric power materials in real time;
The screening unit is connected with the environment monitoring module, and can judge the real-time environment information acquired by the environment monitoring module in real time according to the standard environment information set inside, so as to determine whether to screen and store the real-time environment information;
The monitoring database is connected with the screening unit and the material monitoring module and is used for storing real-time environment information screened by the screening unit, material temperature data and material state data acquired by the material monitoring module, and the reliability score of the online electric material is also stored in the monitoring database;
The calculation processing unit is respectively connected with the monitoring database and the material monitoring module, can judge the update of the real-time environment information of the corresponding online electric material stored in the monitoring database, acquires the reliability score of the online electric material when the real-time environment information is not updated, corrects the reliability score according to the running loss score of the online electric material in a set monitoring calculation period, and calculates the real-time running loss score in the current monitoring calculation period according to the updated data type and the abnormal occupation ratio of the updated time length in the real-time environment information in the monitoring calculation period when the real-time environment information is updated;
The early warning unit is connected with the calculation processing unit, a plurality of preset early warning scores are arranged in the early warning unit, and when the calculation processing unit updates the reliability scores of the online electric power materials, the early warning unit judges the reliability scores according to the preset early warning scores and determines early warning grades according to judging results to carry out grading early warning.
Real-time monitoring is carried out on real-time environment information of the online electric power materials through the setting monitoring unit, conventional real-time environment information is screened through the setting screening unit, storage pressure of the monitoring database is relieved without storage and analysis processing, meanwhile, a correction mode of the reliability score in a monitoring calculation period is determined and corrected through setting the reliability score of the online electric power materials in the monitoring database according to the updating state of the real-time environment information in the monitoring database, actual reliability of the online electric power materials is represented by the reliability score of the online electric power materials, accurate grading early warning is carried out on the online electric power materials through the early warning unit according to the reliability score corrected in each monitoring calculation period, normalization processing is carried out on early warning types of the electric power materials, and comprehensive grading early warning is accurately and effectively carried out.
In this embodiment, the monitored online power supplies may be power transmission power cables, power transmission substations and power transmission towers that have been put into use, and the hierarchical early warning system provided in this embodiment may perform simultaneous monitoring early warning for multiple types, multiple numbers and multiple positions of power supplies, and only needs to set corresponding monitoring standards according to the types and use positions of the power supplies.
Specifically, the screening unit is internally provided with standard environmental wind power and standard environmental precipitation, the screening unit is internally provided with a storage module, the screening unit can acquire the environmental wind power data and the real-time precipitation data acquired by the environmental monitoring module,
When the environmental wind power data is lower than or equal to the standard environmental wind power, the screening unit deletes the currently collected environmental wind power data and does not store the same, and when the environmental wind power data is higher than the standard environmental wind power, the screening unit stores the environmental wind power data collected by the environmental monitoring module into the monitoring database;
When the real-time precipitation data is lower than or equal to the standard environmental precipitation, the screening unit deletes the currently collected real-time precipitation data and does not store the same, when the real-time precipitation data is higher than the standard environmental precipitation, the screening unit stores the currently collected real-time precipitation data through the storage module and records the continuous storage time length of the real-time precipitation data higher than the standard environmental precipitation to judge, so as to determine whether to store the real-time precipitation data stored by the storage module to the monitoring database.
The environment state of the on-line electric power supplies can be rapidly determined through a conventional data screening mode, the storage capacity of the monitoring database is reduced, the processing speed of the stored abnormal data is also improved, the calculation error of the calculation error rate of the calculation processing unit is reduced, and the accuracy of the electric power supply grading early warning is improved.
In this embodiment, taking an online power material as an example of a power cable, the set standard environmental wind power is a wind speed value, generally set to be not more than 4.2m/s, the set standard environmental precipitation is 0.1mm/h, and the influence of air humidity and mist on-site hardware detection equipment can be effectively distinguished by setting smaller standard environmental precipitation.
Specifically, the screening unit is internally provided with effective duration of precipitation, when the storage module stores the currently collected real-time precipitation data, the screening unit obtains the duration of the real-time precipitation data stored in the storage module and continuously higher than the standard environment precipitation, and compares the real-time duration of the real-time precipitation data with the effective duration of the precipitation,
If the continuous storage duration is smaller than the effective duration of precipitation and the stored real-time precipitation data are lower than or equal to the standard environmental precipitation, the storage module interrupts the storage of the real-time precipitation data, and the screening unit deletes the stored real-time precipitation data in the storage module;
and if the continuous storage time length is greater than or equal to the effective duration of precipitation, the screening unit stores the real-time precipitation data stored in the storage module into the monitoring database.
The effective duration of precipitation is set in the rescreening unit, the duration of storage of real-time precipitation data is judged, the influence of air humidity, fog and condensed water in the environment on the on-site precipitation detection equipment is further eliminated, and the air humidity, the fog and the condensed water in the environment are all in the conventional environment condition of electric power materials and are set as fixed parameters only according to the setting region and seasons, so that the abnormality judgment is not needed, and the accuracy of comprehensive grading early warning of the electric power materials is effectively ensured.
Specifically, the screening unit is also provided with a standard temperature range, when the environment monitoring module collects the environment temperature data, the screening unit can compare the environment temperature data with the standard temperature range,
If the environmental temperature data collected by the environmental monitoring module is lower than the standard temperature range, the screening unit stores the environmental temperature data into the monitoring database, deletes the currently collected illumination intensity data and does not store the currently collected illumination intensity data;
if the environmental temperature data collected by the environmental monitoring module is in the standard temperature range, the screening unit judges the currently collected illumination intensity data to determine whether to store the currently collected environmental temperature data and the illumination intensity data;
and if the environmental temperature data acquired by the environmental monitoring module is higher than the standard temperature range, the screening unit stores the environmental temperature data into the monitoring database, deletes the currently acquired illumination intensity data and does not store the currently acquired illumination intensity data.
Specifically, the screening unit is internally provided with standard illumination intensity, when the environmental temperature data acquired by the environmental monitoring module is within the standard temperature range, the screening unit acquires the current acquired illumination intensity data and judges the current acquired illumination intensity data according to the standard illumination intensity,
If the illumination intensity data is smaller than or equal to the standard illumination intensity, the screening unit deletes the currently acquired environmental temperature data and illumination intensity data and does not store the environmental temperature data and the illumination intensity data through the monitoring database;
And if the illumination intensity data is larger than the standard illumination intensity, the screening unit stores the environmental temperature data and the illumination intensity data which are acquired at present into the monitoring database.
Meanwhile, the abnormal conditions of the environment where the online electric power supplies are located can be rapidly screened out through setting the standard temperature range, and the use influence of the illumination intensity data on the electric power supplies is further combined, so that the screened abnormal data are determined to be stored and analyzed, the accuracy of basic environment data of online electric power supply monitoring is improved, and the normal calculation and analysis of the grading early warning system are guaranteed.
In this embodiment, the monitoring object is a conventional power cable, the set standard temperature range is 12-30 ℃, the set standard illumination intensity is 67000 lux, and due to the material of the power cable, when the air environment is in a normal state, the surface of the power cable is also in a high-temperature state due to the high illumination intensity, so that the power cable can generate relatively large use consumption under the high illumination intensity.
Specifically, the calculation processing unit is internally provided with a monitoring calculation period and an operation loss score in the monitoring calculation period, and can acquire the update state of the real-time environment information of the online electric power materials in the monitoring database in any monitoring calculation period,
If the real-time environment information of the online electric power supplies is not updated in the current monitoring calculation period, the calculation processing module acquires the reliability scores corresponding to the online electric power supplies in the monitoring database, and corrects the reliability scores according to the running loss scores;
If the real-time environment information of the online electric power supplies is updated in the current monitoring calculation period, the calculation processing unit calculates a real-time running loss score in the current monitoring calculation period according to the updated real-time environment information so as to correct the reliability score stored in the monitoring database;
wherein Kg '=Kg-Ks, ks=100/(Tc/Tj), kg' is the reliability score of the online power supplies after correction, kg is the reliability score stored in the monitoring database, ks is the running loss score corresponding to the online power supplies, tc is the factory service life duration of the online power supplies, and Tj is the monitoring calculation period of the calculation processing unit.
In this embodiment, the running loss score represents a score loss amount in the conventional consumption, which is calculated according to a monitoring calculation period set by the system and a factory service life duration of the power material, and taking the power cable as an example, the factory service life duration is usually more than 134000 hours, and the set monitoring calculation period is generally not less than 10 hours for guaranteeing the running stability of the system.
In particular, when the real-time environment information of the line electric power materials in the current monitoring calculation period is updated, the calculation processing unit obtains the data type updated by the real-time environment information, wherein the data type comprises the environment wind power data, the environment temperature data and the real-time precipitation data,
If the environment wind power data is updated in the monitoring calculation period, the calculation processing unit acquires the update time of the environment wind power data in the current monitoring calculation period, calculates the abnormal occupation ratio of the wind power data, and calculates a wind power loss score according to the abnormal occupation ratio of the wind power data, the average value of the environment wind power data in the monitoring calculation period and the standard environment wind power;
wherein aa=ta/Tj, ka=ks× [ (Wp-Wb)/Wb ] ×aa, where Aa is an abnormal occupation ratio of wind data, ta is an update duration of environmental wind data in a current monitoring calculation period, ka is a wind loss score, wp is an average value of environmental wind data in the monitoring calculation period, wb is a standard environmental wind;
If the environment temperature data is updated in the monitoring calculation period, the calculation processing unit acquires the illumination intensity data corresponding to the environment temperature data from the monitoring database and judges the illumination intensity data so as to calculate the temperature loss score of the environment temperature data;
If the real-time precipitation data are updated in the monitoring calculation period, the calculation processing unit acquires the update time of the real-time precipitation data in the current monitoring calculation period, calculates the abnormal occupation ratio of the precipitation data, and calculates the precipitation loss score according to the abnormal occupation ratio of the precipitation data and the running loss score;
Wherein am=tm/Tj, km=ks×am, where Am is an abnormal occupation ratio of precipitation data, tm is an update duration of real-time precipitation data in a current monitoring calculation period, and Km is a precipitation loss score;
if the environment wind power data, the environment temperature data or the real-time precipitation data are not updated in the monitoring calculation period, the loss score calculation result of the corresponding data is zero;
The calculation processing unit calculates a real-time running loss score according to the wind power loss score, the temperature loss score, the precipitation loss score and the set running loss score, and corrects the reliability score according to the real-time running loss score;
Wherein, kg' =Kg-Ky, ky=Ka+kn+km+ks, ky is a real-time running loss score, and Kn is a temperature loss score.
Specifically, when the environment temperature data is updated in the monitoring calculation period, the calculation processing unit acquires the illumination intensity data corresponding to the environment temperature data from the monitoring database to judge,
If the monitoring database does not contain the illumination intensity data corresponding to the environmental temperature data, the computing processing unit acquires the update time of the environmental temperature data in the current monitoring computing period, calculates the abnormal occupation ratio of the temperature data, and calculates the precipitation loss score according to the abnormal occupation ratio of the temperature data and the standard temperature range;
wherein an=tn/Tj, kn=ks× (|pr-pb|/Pb) ×an, an is An abnormal occupation ratio of temperature data, tn is An update duration of the environmental temperature data in the current monitoring calculation period, pr is An average value of the environmental temperature data in the monitoring calculation period, pb is An average value of a standard temperature range, pb= (P2-P1)/2, P2 is a maximum value in the standard temperature range, and P1 is a minimum value in the standard temperature range;
If the illumination intensity data corresponding to the environmental temperature data exists in the monitoring database, the computing processing unit acquires the update time of the environmental temperature data in the current monitoring computing period, calculates the abnormal occupation ratio of the temperature data, and calculates a temperature loss score according to the abnormal occupation ratio of the temperature data, the illumination intensity data and the standard illumination intensity;
Where kn=ks× [ (Ls-Lb)/Lb ] ×an, ls is An average value of the illumination intensity data in the monitoring calculation period, and Lb is the standard illumination intensity.
The stored reliability scores of the online electric power supplies are corrected through the influence of the environmental data types, the normalization processing of the electric power supply early warning types is realized, and the accurate early warning of the hierarchical early warning system is ensured through the real-time property and the accuracy of the basic data.
Specifically, a first preset early warning score K1, a second preset early warning score K2 and a third preset early warning score K3 are arranged in the early warning unit, wherein K1 is smaller than K2 and smaller than K3, when the calculation processing unit corrects and updates the reliability score of the online electric power material, the early warning unit acquires the corrected reliability score Kg' of the online electric power material and judges,
When Kg' is less than or equal to K1, the early warning unit sends out a first-level early warning prompt of the online electric power material;
When K1 is more than Kg' and less than or equal to K2, the early warning unit sends out a secondary early warning prompt of the online electric power material;
when K2 is less than Kg' and less than or equal to K3, the early warning unit sends out three-level early warning prompt of the online electric power material;
when Kg' > K3, the early warning unit judges that the reliability score of the corrected online electric power material does not reach the early warning standard, and the early warning unit does not carry out early warning prompt on the online electric power material.
In this embodiment, the reliability score adopts a percentile system, and the set first preset early warning score, the second preset early warning score and the third preset early warning score respectively correspond to 5%, 10% and 30%, that is, the first preset early warning score is 5, which means that serious early warning cannot realize safe and effective transmission and should be replaced in time; the second preset early warning score is 10, which indicates that the serious early warning is close, and real-time supervision measures and replacement treatment should be carried out; the third preset pre-alarm score 30 indicates that the pre-alarm is generally used, the maintenance frequency should be increased, and the power transmission failure is avoided.
Specifically, the calculation processing unit is also provided with standard material temperature data and standard material state data, and can acquire the material temperature data and the material state data of the online power material acquired in real time in the material monitoring module, and when the material temperature data exceeds the standard material temperature data or the material state data exceeds the standard material state data, the calculation processing unit directly controls the early warning unit to send out a primary early warning prompt of the online power material.
The material temperature data and the material state data of the online electric power material are collected through the material monitoring module, and the direct primary early warning prompt is carried out through the standard value set by the calculation processing unit, so that the sudden unexpected situation in the operation of the online electric power material can be avoided, the power cable in the embodiment is taken as an example, the material temperature data refers to the cable jacket temperature, the material state data refers to the real-time vibration or swing frequency or amplitude of the cable, and in the actual electric power monitoring process, the type of the monitored object and the factory setting standard parameters are correspondingly set.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A grading early warning system based on electric power material data monitoring is characterized by comprising,
The monitoring unit comprises an environment monitoring module and a material monitoring module, wherein the environment monitoring module is used for collecting real-time environment information of online electric power materials in real time, the real-time environment information comprises environment wind power data, environment temperature data, illumination intensity data and real-time precipitation data, and the material monitoring module is used for collecting material temperature data and material state data of the online electric power materials in real time;
The screening unit is connected with the environment monitoring module, and can judge the real-time environment information acquired by the environment monitoring module in real time according to the standard environment information set inside, so as to determine whether to screen and store the real-time environment information;
The monitoring database is connected with the screening unit and the material monitoring module and is used for storing real-time environment information screened by the screening unit, material temperature data and material state data acquired by the material monitoring module, and the reliability score of the online electric material is also stored in the monitoring database;
The calculation processing unit is respectively connected with the monitoring database and the material monitoring module, can judge the update of the real-time environment information of the corresponding online electric material stored in the monitoring database, acquires the reliability score of the online electric material when the real-time environment information is not updated, corrects the reliability score according to the running loss score of the online electric material set in the monitoring calculation period, and calculates the real-time running loss score in the current monitoring calculation period according to the updated data type and the abnormal occupation ratio of the updated time length in the real-time environment information in the monitoring calculation period when the real-time environment information is updated;
The early warning unit is connected with the calculation processing unit, a plurality of preset early warning scores are arranged in the early warning unit, and when the calculation processing unit updates the reliability scores of the online electric power materials, the early warning unit judges the reliability scores according to the preset early warning scores and determines early warning grades according to judging results to carry out grading early warning;
The calculation processing unit is internally provided with a monitoring calculation period and an operation loss score in the monitoring calculation period, and can acquire the update state of the real-time environment information of the online electric power materials in the monitoring database in any monitoring calculation period,
If the real-time environment information of the online electric power supplies is not updated in the current monitoring calculation period, the calculation processing module acquires the reliability scores corresponding to the online electric power supplies in the monitoring database, and corrects the reliability scores according to the running loss scores;
If the real-time environment information of the online electric power supplies is updated in the current monitoring calculation period, the calculation processing unit calculates a real-time running loss score in the current monitoring calculation period according to the updated real-time environment information so as to correct the reliability score stored in the monitoring database;
Wherein Kg '=Kg-Ks, ks=100/(Tc/Tj), kg' is the reliability score of the online electric power material after correction, kg is the reliability score stored in the monitoring database, ks is the running loss score corresponding to the online electric power material, tc is the delivery service life duration of the online electric power material, and Tj is the monitoring calculation period of the calculation processing unit;
the computing processing unit acquires the updated data type of the real-time environment information when the real-time environment information of the online electric power materials is updated in the current monitoring computing period, wherein the data type comprises the environment wind power data, the environment temperature data and the real-time precipitation data,
If the environment wind power data is updated in the monitoring calculation period, the calculation processing unit acquires the update time of the environment wind power data in the current monitoring calculation period, calculates the abnormal occupation ratio of the wind power data, and calculates a wind power loss score according to the abnormal occupation ratio of the wind power data, the average value of the environment wind power data in the monitoring calculation period and the standard environment wind power;
Wherein aa=ta/Tj, ka=ks× [ (Wp-Wb)/Wb ] ×aa, where Aa is an abnormal occupation ratio of wind data, ta is an update duration of environmental wind data in a current monitoring calculation period, ka is a wind loss score, wp is an average value of environmental wind data in the monitoring calculation period, wb is a standard environmental wind;
If the environment temperature data is updated in the monitoring calculation period, the calculation processing unit acquires the illumination intensity data corresponding to the environment temperature data from the monitoring database and judges the illumination intensity data so as to calculate the temperature loss score of the environment temperature data;
If the real-time precipitation data are updated in the monitoring calculation period, the calculation processing unit acquires the update time of the real-time precipitation data in the current monitoring calculation period, calculates the abnormal occupation ratio of the precipitation data, and calculates the precipitation loss score according to the abnormal occupation ratio of the precipitation data and the running loss score;
Wherein am=tm/Tj, km=ks×am, where Am is an abnormal occupation ratio of precipitation data, tm is an update duration of real-time precipitation data in a current monitoring calculation period, and Km is a precipitation loss score;
if the environment wind power data, the environment temperature data or the real-time precipitation data are not updated in the monitoring calculation period, the loss score calculation result of the corresponding data is zero;
The calculation processing unit calculates a real-time running loss score according to the wind power loss score, the temperature loss score, the precipitation loss score and the set running loss score, and corrects the reliability score according to the real-time running loss score;
Wherein, kg' =Kg-Ky, ky=Ka+kn+km+ks, ky is a real-time running loss score, kn is a temperature loss score;
The computing processing unit obtains the illumination intensity data corresponding to the environmental temperature data from the monitoring database to judge when the environmental temperature data is updated in the monitoring computing period,
If the monitoring database does not contain the illumination intensity data corresponding to the environmental temperature data, the computing processing unit acquires the update time of the environmental temperature data in the current monitoring computing period, calculates the abnormal occupation ratio of the temperature data, and calculates the precipitation loss score according to the abnormal occupation ratio of the temperature data and the standard temperature range;
wherein an=tn/Tj, kn=ks× (|pr-pb|/Pb) ×an, an is An abnormal occupation ratio of temperature data, tn is An update duration of the environmental temperature data in the current monitoring calculation period, pr is An average value of the environmental temperature data in the monitoring calculation period, pb is An average value of a standard temperature range, pb= (P2-P1)/2, P2 is a maximum value in the standard temperature range, and P1 is a minimum value in the standard temperature range;
If the illumination intensity data corresponding to the environmental temperature data exists in the monitoring database, the computing processing unit acquires the update time of the environmental temperature data in the current monitoring computing period, calculates the abnormal occupation ratio of the temperature data, and calculates a temperature loss score according to the abnormal occupation ratio of the temperature data, the illumination intensity data and the standard illumination intensity;
Where kn=ks× [ (Ls-Lb)/Lb ] ×an, ls is An average value of the illumination intensity data in the monitoring calculation period, and Lb is the standard illumination intensity.
2. The grading early warning system based on electric power material data monitoring according to claim 1, wherein the screening unit is internally provided with standard environmental wind power and standard environmental precipitation, the screening unit is internally provided with a storage module, the screening unit can acquire the environmental wind power data and the real-time precipitation data acquired by the environmental monitoring module,
When the environmental wind power data is lower than or equal to the standard environmental wind power, the screening unit deletes the currently collected environmental wind power data and does not store the same, and when the environmental wind power data is higher than the standard environmental wind power, the screening unit stores the environmental wind power data collected by the environmental monitoring module into the monitoring database;
When the real-time precipitation data is lower than or equal to the standard environmental precipitation, the screening unit deletes the currently collected real-time precipitation data and does not store the same, when the real-time precipitation data is higher than the standard environmental precipitation, the screening unit stores the currently collected real-time precipitation data through the storage module and records the continuous storage time length of the real-time precipitation data higher than the standard environmental precipitation to judge, so as to determine whether to store the real-time precipitation data stored by the storage module to the monitoring database.
3. The hierarchical early warning system based on electric power material data monitoring according to claim 2, wherein the screening unit is provided with a precipitation effective duration, and when the storage module stores the currently collected real-time precipitation data, the screening unit obtains the duration of the real-time precipitation data stored in the storage module, which is continuously higher than the standard environmental precipitation, and compares the real-time duration of the real-time precipitation with the precipitation effective duration,
If the continuous storage duration is smaller than the effective duration of precipitation and the stored real-time precipitation data are lower than or equal to the standard environmental precipitation, the storage module interrupts the storage of the real-time precipitation data, and the screening unit deletes the stored real-time precipitation data in the storage module;
and if the continuous storage time length is greater than or equal to the effective duration of precipitation, the screening unit stores the real-time precipitation data stored in the storage module into the monitoring database.
4. The hierarchical early warning system based on electric power material data monitoring according to claim 1, wherein the screening unit is further provided with a standard temperature range, and when the environmental monitoring module collects environmental temperature data, the screening unit can compare the environmental temperature data with the standard temperature range,
If the environmental temperature data collected by the environmental monitoring module is lower than the standard temperature range, the screening unit stores the environmental temperature data into the monitoring database, deletes the currently collected illumination intensity data and does not store the currently collected illumination intensity data;
if the environmental temperature data collected by the environmental monitoring module is in the standard temperature range, the screening unit judges the currently collected illumination intensity data to determine whether to store the currently collected environmental temperature data and the illumination intensity data;
and if the environmental temperature data acquired by the environmental monitoring module is higher than the standard temperature range, the screening unit stores the environmental temperature data into the monitoring database, deletes the currently acquired illumination intensity data and does not store the currently acquired illumination intensity data.
5. The hierarchical early warning system based on power material data monitoring according to claim 4, wherein the screening unit is provided with standard illumination intensity, and when the environmental temperature data collected by the environmental monitoring module is within the standard temperature range, the screening unit obtains the current collected illumination intensity data and determines the current collected illumination intensity data according to the standard illumination intensity,
If the illumination intensity data is smaller than or equal to the standard illumination intensity, the screening unit deletes the currently acquired environmental temperature data and illumination intensity data and does not store the environmental temperature data and the illumination intensity data through the monitoring database;
And if the illumination intensity data is larger than the standard illumination intensity, the screening unit stores the environmental temperature data and the illumination intensity data which are acquired at present into the monitoring database.
6. The hierarchical early warning system based on electric power material data monitoring according to claim 1, wherein a first preset early warning score K1, a second preset early warning score K2 and a third preset early warning score K3 are arranged in the early warning unit, wherein K1 is smaller than K2 and smaller than K3, when the calculation processing unit corrects and updates the reliability score of the electric power material on line, the early warning unit obtains the corrected reliability score Kg' of the electric power material on line and judges,
When Kg' is less than or equal to K1, the early warning unit sends out a first-level early warning prompt of the online electric power material;
When K1 is more than Kg' and less than or equal to K2, the early warning unit sends out a secondary early warning prompt of the online electric power material;
when K2 is less than Kg' and less than or equal to K3, the early warning unit sends out three-level early warning prompt of the online electric power material;
when Kg' > K3, the early warning unit judges that the reliability score of the corrected online electric power material does not reach the early warning standard, and the early warning unit does not carry out early warning prompt on the online electric power material.
7. The grading early warning system based on electric power material data monitoring according to claim 1, wherein the calculation processing unit is further provided with standard material temperature data and standard material state data, the calculation processing unit can acquire the material temperature data and the material state data of the online electric power material collected in real time in the material monitoring module, and when the material temperature data exceeds the standard material temperature data or the material state data exceeds the standard material state data, the calculation processing unit directly controls the early warning unit to send out a first grade early warning prompt of the online electric power material.
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| CN115619098A (en) * | 2022-10-26 | 2023-01-17 | 国网浙江省电力有限公司物资分公司 | Intelligent electric power material data processing method based on grading monitoring and early warning |
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