CN112966374A - Intelligent power grid power line safety real-time online prediction early warning management system - Google Patents
Intelligent power grid power line safety real-time online prediction early warning management system Download PDFInfo
- Publication number
- CN112966374A CN112966374A CN202110203152.1A CN202110203152A CN112966374A CN 112966374 A CN112966374 A CN 112966374A CN 202110203152 A CN202110203152 A CN 202110203152A CN 112966374 A CN112966374 A CN 112966374A
- Authority
- CN
- China
- Prior art keywords
- detection
- cable
- concentration
- module
- power line
- 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.)
- Withdrawn
Links
- 238000001514 detection method Methods 0.000 claims abstract description 303
- 238000004458 analytical method Methods 0.000 claims abstract description 36
- 238000007781 pre-processing Methods 0.000 claims abstract description 26
- 230000007613 environmental effect Effects 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 38
- 239000007789 gas Substances 0.000 claims description 37
- ATUOYWHBWRKTHZ-UHFFFAOYSA-N Propane Chemical compound CCC ATUOYWHBWRKTHZ-UHFFFAOYSA-N 0.000 claims description 36
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 claims description 18
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 claims description 18
- 239000005977 Ethylene Substances 0.000 claims description 18
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 18
- HSFWRNGVRCDJHI-UHFFFAOYSA-N alpha-acetylene Natural products C#C HSFWRNGVRCDJHI-UHFFFAOYSA-N 0.000 claims description 18
- 125000002534 ethynyl group Chemical group [H]C#C* 0.000 claims description 18
- 239000001257 hydrogen Substances 0.000 claims description 18
- 229910052739 hydrogen Inorganic materials 0.000 claims description 18
- 229910000037 hydrogen sulfide Inorganic materials 0.000 claims description 18
- 239000001294 propane Substances 0.000 claims description 18
- 238000011897 real-time detection Methods 0.000 description 9
- 230000002265 prevention Effects 0.000 description 4
- 238000010276 construction Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 239000003034 coal gas Substances 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 239000012466 permeate Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/16—Cables, cable trees or wire harnesses
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Water Supply & Treatment (AREA)
- Emergency Management (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Computing Systems (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a smart grid power line safety real-time online prediction early warning management system which comprises a region division module, a cable and protection pipe caliber detection module, an environmental parameter detection module, a combustible gas concentration detection module, a detection parameter data preprocessing module, a cable load detection module, a database, a modeling analysis server, a management server, an early warning module and a display terminal. Through obtaining cable protection pipe internal diameter and cable external diameter in the cable protection pipeline, the interior temperature of cable protection pipe, humidity and combustible gas kind concentration and the load power of cable to statistics analysis electric power safety influence coefficient can audio-visually demonstrate the cable protection pipeline safety situation in service, has improved the management level and the work efficiency of cable protection pipeline monitoring, has effectively reduced patrolling and examining personnel's working strength, greatly reduced the cost of labor, provide strong technical support for the operation environmental monitoring of cable.
Description
Technical Field
The invention belongs to the technical field of power line monitoring, and particularly relates to a smart grid power line safety real-time online prediction early warning management system.
Background
With the increasing demand of electric power and the increasing scale of power grids in China, cable lines are laid under the ground of modern cities in a large area, and the application of the cable lines is more and more extensive. The increase of urban underground pipelines and the occupation of underground space resources lead the construction and operation conditions of cable pipelines to be more and more complex, and especially once natural gas, coal gas and other flammable and explosive gases permeate into a cable protection pipe, the construction and operation conditions bring great threats to the safe operation of the cable and even the social public safety. Therefore, the problems of fire prevention, gas prevention, explosion prevention, water prevention and the like of the cable pipeline are increasingly important, and the operation environment of the cable must be monitored, so that the problems can be found out in advance, and can be treated in time, and the occurrence of major problems can be avoided.
Because the existing cable protection pipeline still is manually detected at certain intervals, the detection area cannot be close to detection personnel, especially when the number of bridge points to be detected is large, different detection personnel are required to be equipped with different points to carry out detection respectively, great inconvenience can be brought to the detection personnel, the detection cost is improved, the problem that real-time detection cannot be achieved in a manual detection mode exists, the detection personnel do not carry out real-time detection, then relevant departments cannot acquire real-time detection data of the cable protection pipeline, the manual detection causes errors of the detection data due to human factors, and the accuracy cannot be guaranteed.
Disclosure of Invention
Aiming at the problems, the invention provides a real-time online prediction and early warning management system for the safety of a power line of an intelligent power grid.
The purpose of the invention can be realized by the following technical scheme:
the intelligent power grid power line safety real-time online monitoring and early warning management system comprises a region division module, a cable and protection pipe caliber detection module, an environment parameter detection module, a flammable gas concentration detection module, a detection parameter data preprocessing module, a cable load detection module, a database, a modeling analysis server, a management server, an early warning module and a display terminal;
the system comprises an environmental parameter detection module, a detection parameter data preprocessing module, a combustible gas concentration detection module, a modeling analysis server, a cable and protection pipe caliber detection module, a cable load detection module, a database and a management server, wherein the environmental parameter detection module is respectively connected with the area division module and the detection parameter data preprocessing module;
the system comprises a region dividing module, a cable protection pipeline connecting module, a region dividing module and a control module, wherein the region dividing module is used for performing region division on the whole cable protection pipeline, dividing the whole cable protection pipeline into detection subregions which are identical in area and are connected with each other according to the sequence from a starting point to an end point of the cable protection pipeline, numbering the divided detection subregions according to the sequence that the detection subregions are sequentially distant from the starting point of the cable protection pipeline from near to far, and sequentially marking the detection subregions as 1,2, a.
The cable and protection pipe caliber detection module comprises a digital display radius measuring instrument and is used for detecting the outer diameter of the cable and the inner diameter of the cable protection pipe in each detection sub-area and respectively sending the detected outer diameter of the cable and the detected inner diameter of the cable protection pipe in each detection sub-area to the modeling analysis server;
the environment parameter detection module is used for detecting environment parameters in the cable protection pipes in each detection sub-area in real time and respectively sending the temperature and the humidity in the detected environment parameters to the data preprocessing module;
the combustible gas concentration detection module comprises a gas detector for detecting the concentration of combustible gas species in the cable protection tube in each detection sub-area in real time and respectively sending the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the detected combustible gas species concentration to the data preprocessing module;
the detection parameter data preprocessing module receives the temperature and the humidity in the environmental parameters sent by the environmental parameter detection module, receives the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the flammable gas types sent by the flammable gas concentration detection module, and carries out the preprocessing on the received environmental parametersThe temperature and the humidity and the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the flammable gas type concentration are divided according to detection time periods, the detection time periods can be divided into a plurality of detection time periods according to fixed time interval values, the divided detection time periods are numbered according to the time sequence, the number is sequentially marked as 1,2,iw(qiw1,qiw2,...,qiwt,...,qiwh)，qiwt is a numerical value corresponding to a w-th detection parameter in a t-th detection time period in an ith detection subarea, w is a detection parameter, w is p1, p2, p3, p4, p5, p6, p7, p8, p1, p2, p3, p4, p5, p6, p7 and p8 are respectively expressed as temperature, humidity, methane concentration, hydrogen concentration, propane concentration, ethylene concentration, acetylene concentration and hydrogen sulfide concentration, and the detection parameter data preprocessing module transmits a daily time period parameter set to a modeling analysis server;
the cable load detection module comprises a cable detector and a modeling analysis server, wherein the cable detector is used for detecting the load power of cables in each detection sub-area in real time and respectively sending the load power of the cables in each detection sub-area to the modeling analysis server;
the database is used for storing the standard ratio of the outer diameter of the cable to the inner diameter of the cable protection pipe, storing the standard load power of the cable, storing the standard temperature, humidity, methane concentration, hydrogen concentration, propane concentration, ethylene concentration, acetylene concentration and hydrogen sulfide concentration corresponding to each detection time period set in each season, and storing the safety influence coefficient range of the power line corresponding to each safety level;
the modeling analysis server receives the outer diameters of the cables and the inner diameters of the cable protection pipes in each detection sub-area sent by the cable and protection pipe caliber detection module, the outer diameters of the cables in each detection sub-area are received to form a cable outer diameter set A (a1, a2, a.. multidot.ai, a.. multidot.ag), ai represents the outer diameter of the cable in the ith detection sub-area, the inner diameters of the cable protection pipes in each detection sub-area are received to form a cable protection pipe inner diameter set B (B1, B2, a.., bi,. multidot.bg), bi represents the inner diameter of the cable protection pipe in the ith detection sub-area, and the ratio of the inner diameter of the cable protection pipe to the outer diameter of the cable in each detection sub-area is counted according to the cable protection pipe inner diameter set and the cable outer diameter set to form a cable and protection pipe aperture ratio C (C1, C2,. multidot.multidot.c.,. multidot., ci is expressed as the ratio of the outer diameter of the cable and the inner diameter of the cable protection tube in the ith detection sub-area, the ratio of the outer diameter of the cable and the inner diameter of the cable protection tube in each detection sub-area is compared with the standard ratio of the outer diameter of the cable and the inner diameter of the cable protection tube stored in the database to form a cable and protection tube diameter ratio comparison set C '(C' 1, C '2, C' i, C 'g), and C' i is expressed as the difference between the ratio of the outer diameter of the cable and the inner diameter of the cable protection tube in the ith detection sub-area and the standard ratio;
the modeling analysis server receives the load power of the cables in each detection subarea sent by the cable load detection module, divides the received load power of the cables in each detection subarea according to the detection time period, and forms a time period cable load power set Di(di1,di2,...,dit,...,dih)，dit is the load power of the cable in the ith detection time period in the ith detection subarea, and the load power of the cable in the tth detection time period in each detection subarea is compared with the standard load power of the cable stored in the database to form a time period cable load power comparison set Di′(di′1,di′2,...,di′t,...,di′h)，di' t is represented as the difference between the load power of the cable in the t detection time period in the ith detection subarea and the standard load power of the cable;
the modeling analysis server receives the time period parameter set of each day sent by the detection parameter data preprocessing module, compares the time period detection parameters corresponding to each detection time period of each day with the standard temperature, humidity, methane concentration, hydrogen concentration, propane concentration, ethylene concentration, acetylene concentration and hydrogen sulfide concentration corresponding to each detection time period set in the current season, and forms a time period comparison parameter set Q'iw(q′iw1,q′iw2,...,q′iwt,...,q′iwh)，q′iwt is expressed as a direct difference value between a numerical value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area and a standard numerical value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area corresponding to the current season;
the modeling analysis server calculates the safety influence coefficient of the power line according to the diameter ratio comparison set, the cable load power comparison set and the time period comparison parameter set of the cable and the protection pipe, and sends the calculated safety influence coefficient of the power line to the management server;
the management server receives the power line safety influence coefficients sent by the modeling analysis server, compares the power line safety influence coefficients with power line safety influence coefficient ranges corresponding to all safety levels stored in the database, if the power line safety influence coefficients are smaller than the lower limit value of the power line safety influence coefficient range corresponding to the first-level safety level, the management server does not send early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the first-level safety level, the management server sends the first-level early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the second-level safety level, the management server sends the second-level early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the third-level safety level, the management server sends a three-level early warning instruction to the early warning module, and simultaneously sends the electric power safety influence coefficient to the display terminal;
the early warning module receives early warning instructions of different levels sent by the management server and carries out early warning of corresponding levels;
and the display terminal receives and displays the power line safety influence coefficient sent by the management server.
Further, the environmental parameter detection module includes temperature detecting element and humidity detecting element, and temperature detecting element is temperature sensor, installs in the cable protection tube for the temperature in each detection subregion of real-time detection, and humidity detecting element is humidity transducer, installs in the cable protection tube for the humidity in each detection subregion of real-time detection.
Furthermore, the number of the temperature sensors, the number of the humidity sensors, the number of the gas detectors and the number of the cable detectors are consistent with the number of the detection sub-regions.
Further, the upper limit value of the power line safety influence coefficient range corresponding to the first-level safety level is smaller than the lower limit value of the power line safety influence coefficient range corresponding to the second-level safety level, and the upper limit value of the power line safety influence coefficient range corresponding to the second-level safety level is smaller than the lower limit value of the power line safety influence coefficient range corresponding to the third-level safety level.
Further, the calculation formula of the ratio of the inner diameter of the cable protection tube to the outer diameter of the cable in each detection subarea is
bi represents the inner diameter of the cable protection tube in the ith detection sub-area, and ai represents the outer diameter of the cable in the ith detection sub-area.
Further, the calculation formula of the safety influence coefficient of the power line is
di' t is the difference between the cable load power and the cable standard load power in the t detection time period in the ith detection subarea, dit is the load power of the cable in the t detection time period in the ith detection subarea, q'iwt is represented as the direct difference between the value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area and the standard value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area corresponding to the current season, q isiwt is a numerical value corresponding to a w-th detection parameter in a t-th detection time period in an ith detection sub-area, and c' i is a ratio of the outer diameter of the cable to the inner diameter of the cable protection tube in the ith detection sub-area to the inner diameter of the cable protection tubeThe difference between the standard ratios, ci, is expressed as the ratio of the outer diameter of the cable in the ith test sub-area to the inner diameter of the cable protection tube. Has the advantages that:
(1) according to the invention, the cable and protection pipe caliber detection module, the environmental parameter detection module, the flammable gas concentration detection module and the cable load detection module are combined with the modeling analysis server to detect a plurality of parameters in the cable protection pipeline so as to statistically analyze the electric power safety influence coefficient, the safety condition of the cable protection pipeline in operation can be visually displayed through the electric power safety influence coefficient, the management level and the working efficiency of the monitoring of the cable protection pipeline are improved, the working intensity of inspection personnel is effectively reduced, the labor cost is greatly reduced, and powerful technical support is provided for the monitoring of the operating environment of the cable.
(2) According to the invention, reliable early-stage data preparation and reference basis are provided for later-stage statistics of electric power safety influence coefficients by acquiring the inner diameter and the outer diameter of the cable protection pipe in the cable protection pipeline, the temperature and the humidity in the cable protection pipe and the type concentration of combustible gas and the load power of the cable, and the method has the characteristics of high authenticity and high data accuracy.
(3) According to the invention, the power safety influence coefficient is displayed at the display terminal, so that real-time detection data of the cable protection pipeline is provided for management personnel, the management personnel can conveniently take different measures to perform safety maintenance on the cable protection pipeline according to the real-time detection data of the cable protection pipeline, and the safety of cable operation is greatly improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flow chart of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the smart grid power line safety real-time online monitoring and early warning management system comprises a region division module, a cable and protection pipe caliber detection module, an environmental parameter detection module, a combustible gas concentration detection module, a detection parameter data preprocessing module, a cable load detection module, a database, a modeling analysis server, a management server, an early warning module and a display terminal;
the system comprises an environmental parameter detection module, a detection parameter data preprocessing module, a combustible gas concentration detection module, a modeling analysis server, a cable and protection pipe caliber detection module, a cable load detection module, a database and a management server, wherein the environmental parameter detection module is respectively connected with the area division module and the detection parameter data preprocessing module;
the system comprises a region dividing module, a cable protection pipeline connecting module, a region dividing module and a control module, wherein the region dividing module is used for performing region division on the whole cable protection pipeline, dividing the whole cable protection pipeline into detection subregions which are identical in area and are connected with each other according to the sequence from a starting point to an end point of the cable protection pipeline, numbering the divided detection subregions according to the sequence that the detection subregions are sequentially distant from the starting point of the cable protection pipeline from near to far, and sequentially marking the detection subregions as 1,2, a.
The cable and protection pipe caliber detection module comprises a digital display radius measuring instrument and is used for detecting the outer diameter of the cable and the inner diameter of the cable protection pipe in each detection sub-area and respectively sending the detected outer diameter of the cable and the detected inner diameter of the cable protection pipe in each detection sub-area to the modeling analysis server;
the environment parameter detection module is used for detecting environment parameters in the cable protection tube in each detection sub-region in real time, and comprises a temperature detection unit and a humidity detection unit, wherein the temperature detection unit is a temperature sensor and is arranged in the cable protection tube and used for detecting the temperature in each detection sub-region in real time;
the combustible gas concentration detection module comprises gas detectors, the number of the gas detectors is consistent with that of the detection subareas, the gas detectors are used for detecting the concentration of combustible gas species in the cable protection tube in each detection subarea in real time, and the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the detected combustible gas species concentration are respectively sent to the data preprocessing module;
the detection parameter data preprocessing module receives the temperature and the humidity in the environmental parameters sent by the environmental parameter detection module, receives the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the inflammable gas types sent by the inflammable gas concentration detection module, divides the temperature and the humidity in the received environmental parameters and the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the inflammable gas types according to detection time periods, can divide the received environmental parameters into a plurality of detection time periods according to fixed time interval values, numbers the divided detection time periods according to the time sequence, sequentially marks the detection time periods as 1,2, t, h and forms a time period parameter set Q & ltSUB & gt every dayiw(qiw1,qiw2,...,qiwt,...,qiwh)，qiwt is a numerical value corresponding to a w-th detection parameter in a t-th detection time period in an i-th detection sub-area, w is a detection parameter, w is p1, p2, p3, p4, p5, p6, p7, p8, p1, p2, p3, p4, p5, p6, p7 and p8 are respectively expressed as temperature, humidity, methane concentration, hydrogen concentration, propane concentration, ethylene concentration, acetylene concentration and hydrogen sulfide concentration, and the detection parameter data preprocessing module is used for preprocessing the data of the detection parametersSending the time period parameter set to a modeling analysis server;
the cable load detection module comprises cable detectors, the number of the cable detectors is consistent with that of the detection subareas, and the cable load detection module is used for detecting the load power of the cables in each detection subarea in real time and respectively sending the load power of the cables in each detection subarea to the modeling analysis server;
according to the embodiment, reliable early-stage data preparation and reference basis are provided for later-stage statistics of electric power safety influence coefficients by acquiring the inner diameter and the outer diameter of a cable protection pipe in a cable protection pipeline, the temperature and the humidity in the cable protection pipe and the concentration of combustible gas types and the load power of the cable, and the cable protection pipeline has the characteristics of high authenticity and high data accuracy;
the database is used for storing a standard ratio of the outer diameter of the cable to the inner diameter of the cable protection tube, storing standard load power of the cable, storing standard temperature, humidity, methane concentration, hydrogen concentration, propane concentration, ethylene concentration, acetylene concentration and hydrogen sulfide concentration corresponding to each detection time period set in each season, and storing a safety influence coefficient range of the power line corresponding to each safety level, wherein the upper limit value of the safety influence coefficient range of the power line corresponding to the first-level safety level is smaller than the lower limit value of the safety influence coefficient range of the power line corresponding to the second-level safety level, and the upper limit value of the safety influence coefficient range of the power line corresponding to the second-level safety level is smaller than the lower limit value of the safety influence coefficient range of the power line corresponding to the third-level safety level;
the modeling analysis server receives the outer diameters of the cables and the inner diameters of the cable protection pipes in all detection sub-areas sent by the cable and protection pipe caliber detection module, the outer diameters of the cables in all the received detection sub-areas form a cable outer diameter set A (a1, a2, a.. multidot.ai, a.. multidot.ag), ai represents the outer diameter of the cable in the ith detection sub-area, the inner diameters of the cable protection pipes in all the received detection sub-areas form a cable protection pipe inner diameter set B (B1, B2, a.., bi,. multidot.bg), bi represents the inner diameter of the cable protection pipe in the ith detection sub-area, and the inner diameters of the cable protection pipes in all the detection sub-areas are counted according to the cable protection pipe inner diameter set and the cableThe ratio of the inner diameter of the cable protection tube to the outer diameter of the cable in each detection subarea is calculated by the formula
bi represents the inner diameter of the cable protection pipe in the ith detection sub-area, ai represents the outer diameter of the cable in the ith detection sub-area, and a cable-to-protection pipe aperture ratio value set C (C1, C2.;. pi., ci.;. pi., cg) is formed, ci represents the ratio of the outer diameter of the cable to the inner diameter of the cable protection pipe in the ith detection sub-area, the ratio of the outer diameter of the cable to the inner diameter of the cable protection pipe in each detection sub-area is compared with a standard ratio of the outer diameter of the cable to the inner diameter of the cable protection pipe stored in a database, and a cable-to-protection pipe aperture ratio value comparison set C '(C' 1, C '2.;, C' i.; C 'g) is formed, and C' i represents the difference value between the ratio of the outer diameter of the cable to the inner diameter of the cable protection pipe in the ith detection sub;
the modeling analysis server receives the load power of the cables in each detection subarea sent by the cable load detection module, divides the received load power of the cables in each detection subarea according to the detection time period, and forms a time period cable load power set Di(di1,di2,...,dit,...,dih)，dit is the load power of the cable in the ith detection time period in the ith detection subarea, and the load power of the cable in the tth detection time period in each detection subarea is compared with the standard load power of the cable stored in the database to form a time period cable load power comparison set Di′(di′1,di′2,...,di′t,...,di′h)，di' t is represented as the difference between the load power of the cable in the t detection time period in the ith detection subarea and the standard load power of the cable;
the modeling analysis server receives the time period parameter set of each day sent by the detection parameter data preprocessing module, and corresponds the time period detection parameters corresponding to each detection time period of each day with each detection time period set in the current seasonThe standard temperature, the humidity, the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration are compared to form a time period comparison parameter set Q'iw(q′iw1,q′iw2,...,q′iwt,...,q′iwh)，q′iwt is expressed as a direct difference value between a numerical value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area and a standard numerical value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area corresponding to the current season;
the modeling analysis server calculates the safety influence coefficient of the power line according to the diameter ratio comparison set, the cable load power comparison set and the time period comparison parameter set of the cable and the protection pipe, and the calculation formula of the safety influence coefficient of the power line is
di' t is the difference between the cable load power and the cable standard load power in the t detection time period in the ith detection subarea, dit is the load power of the cable in the t detection time period in the ith detection subarea, q'iwt is represented as the direct difference between the value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area and the standard value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area corresponding to the current season, q isiwt represents a numerical value corresponding to a w-th detection parameter in a t-th detection time period in an ith detection sub-area, c' i represents a difference value between a ratio of the outer diameter of the cable to the inner diameter of the cable protection pipe in the ith detection sub-area and a standard ratio, and ci represents a ratio of the outer diameter of the cable to the inner diameter of the cable protection pipe in the ith detection sub-area, and the statistical power line safety influence coefficient is sent to a management server;
the management server receives the power line safety influence coefficients sent by the modeling analysis server, compares the power line safety influence coefficients with power line safety influence coefficient ranges corresponding to all safety levels stored in the database, if the power line safety influence coefficients are smaller than the lower limit value of the power line safety influence coefficient range corresponding to the first-level safety level, the management server does not send early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the first-level safety level, the management server sends the first-level early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the second-level safety level, the management server sends the second-level early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the third-level safety level, the management server sends a three-level early warning instruction to the early warning module, and simultaneously sends the electric power safety influence coefficient to the display terminal;
the early warning module receives early warning instructions of different levels sent by the management server and carries out early warning of corresponding levels;
the display terminal receives the power line safety influence coefficient sent by the management server, displays the power line safety influence coefficient, provides real-time detection data of the cable protection pipeline for management personnel, facilitates the management personnel to take different measures to perform safety maintenance on the cable protection pipeline according to the real-time detection data of the cable protection pipeline, and greatly improves the safety of cable operation.
According to the invention, the cable and protection pipe caliber detection module, the environmental parameter detection module, the flammable gas concentration detection module and the cable load detection module are combined with the modeling analysis server to detect a plurality of parameters in the cable protection pipeline so as to statistically analyze the electric power safety influence coefficient, the safety condition of the cable protection pipeline in operation can be visually displayed through the electric power safety influence coefficient, the management level and the working efficiency of the monitoring of the cable protection pipeline are improved, the working intensity of inspection personnel is effectively reduced, the labor cost is greatly reduced, and powerful technical support is provided for the monitoring of the operating environment of the cable.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. Real-time on-line monitoring early warning management system of smart power grids power line safety, its characterized in that: the system comprises a region division module, a cable and protection pipe caliber detection module, an environmental parameter detection module, a combustible gas concentration detection module, a detection parameter data preprocessing module, a cable load detection module, a database, a modeling analysis server, a management server, an early warning module and a display terminal;
the system comprises an environmental parameter detection module, a detection parameter data preprocessing module, a combustible gas concentration detection module, a modeling analysis server, a cable and protection pipe caliber detection module, a cable load detection module, a database and a management server, wherein the environmental parameter detection module is respectively connected with the area division module and the detection parameter data preprocessing module;
the system comprises a region dividing module, a cable protection pipeline connecting module, a region dividing module and a control module, wherein the region dividing module is used for performing region division on the whole cable protection pipeline, dividing the whole cable protection pipeline into detection subregions which are identical in area and are connected with each other according to the sequence from a starting point to an end point of the cable protection pipeline, numbering the divided detection subregions according to the sequence that the detection subregions are sequentially distant from the starting point of the cable protection pipeline from near to far, and sequentially marking the detection subregions as 1,2, a.
The cable and protection pipe caliber detection module comprises a digital display radius measuring instrument and is used for detecting the outer diameter of the cable and the inner diameter of the cable protection pipe in each detection sub-area and respectively sending the detected outer diameter of the cable and the detected inner diameter of the cable protection pipe in each detection sub-area to the modeling analysis server;
the environment parameter detection module is used for detecting environment parameters in the cable protection pipes in each detection sub-area in real time and respectively sending the temperature and the humidity in the detected environment parameters to the data preprocessing module;
the combustible gas concentration detection module comprises a gas detector for detecting the concentration of combustible gas species in the cable protection tube in each detection sub-area in real time and respectively sending the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the detected combustible gas species concentration to the data preprocessing module;
the detection parameter data preprocessing module receives the temperature and the humidity in the environmental parameters sent by the environmental parameter detection module, receives the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the inflammable gas types sent by the inflammable gas concentration detection module, divides the temperature and the humidity in the received environmental parameters and the methane concentration, the hydrogen concentration, the propane concentration, the ethylene concentration, the acetylene concentration and the hydrogen sulfide concentration in the inflammable gas types according to detection time periods, can divide the received environmental parameters into a plurality of detection time periods according to fixed time interval values, numbers the divided detection time periods according to the time sequence, sequentially marks the detection time periods as 1,2, t, h and forms a time period parameter set Q & ltSUB & gt every dayiw(qiw1,qiw2,...,qiwt,...,qiwh)，qiwt is a numerical value corresponding to a w-th detection parameter in a t-th detection time period in an ith detection subarea, w is a detection parameter, w is p1, p2, p3, p4, p5, p6, p7, p8, p1, p2, p3, p4, p5, p6, p7 and p8 are respectively expressed as temperature, humidity, methane concentration, hydrogen concentration, propane concentration, ethylene concentration, acetylene concentration and hydrogen sulfide concentration, and the detection parameter data preprocessing module transmits a daily time period parameter set to a modeling analysis server;
the cable load detection module comprises a cable detector and a modeling analysis server, wherein the cable detector is used for detecting the load power of cables in each detection sub-area in real time and respectively sending the load power of the cables in each detection sub-area to the modeling analysis server;
the database is used for storing the standard ratio of the outer diameter of the cable to the inner diameter of the cable protection pipe, storing the standard load power of the cable, storing the standard temperature, humidity, methane concentration, hydrogen concentration, propane concentration, ethylene concentration, acetylene concentration and hydrogen sulfide concentration corresponding to each detection time period set in each season, and storing the safety influence coefficient range of the power line corresponding to each safety level;
the modeling analysis server receives the outer diameters of the cables and the inner diameters of the cable protection pipes in each detection sub-area sent by the cable and protection pipe caliber detection module, the outer diameters of the cables in each detection sub-area are received to form a cable outer diameter set A (a1, a2, a.. multidot.ai, a.. multidot.ag), ai represents the outer diameter of the cable in the ith detection sub-area, the inner diameters of the cable protection pipes in each detection sub-area are received to form a cable protection pipe inner diameter set B (B1, B2, a.., bi,. multidot.bg), bi represents the inner diameter of the cable protection pipe in the ith detection sub-area, and the ratio of the inner diameter of the cable protection pipe to the outer diameter of the cable in each detection sub-area is counted according to the cable protection pipe inner diameter set and the cable outer diameter set to form a cable and protection pipe aperture ratio C (C1, C2,. multidot.multidot.c.,. multidot., ci is expressed as the ratio of the outer diameter of the cable and the inner diameter of the cable protection tube in the ith detection sub-area, the ratio of the outer diameter of the cable and the inner diameter of the cable protection tube in each detection sub-area is compared with the standard ratio of the outer diameter of the cable and the inner diameter of the cable protection tube stored in the database to form a cable and protection tube diameter ratio comparison set C '(C' 1, C '2, C' i, C 'g), and C' i is expressed as the difference between the ratio of the outer diameter of the cable and the inner diameter of the cable protection tube in the ith detection sub-area and the standard ratio;
the modeling analysis server receives the load power of the cables in each detection subarea sent by the cable load detection module, divides the received load power of the cables in each detection subarea according to the detection time period, and forms a time period cable load power set Di(di1,di2,...,dit,...,dih)，dit is the load power of the cable in the tth detection time period in the ith detection subarea, the load power of the cable in the tth detection time period in each detection subarea is compared with the standard load power of the cable stored in the database to form a time period cable load power comparison set D'i(d′i1,d′i2,...,d′it,...,d′ih)，d′it is expressed as the difference value between the load power of the cable in the t detection time period in the ith detection sub-area and the standard load power of the cable;
the modeling analysis server receives the time period parameter set of each day sent by the detection parameter data preprocessing module, compares the time period detection parameters corresponding to each detection time period of each day with the standard temperature, humidity, methane concentration, hydrogen concentration, propane concentration, ethylene concentration, acetylene concentration and hydrogen sulfide concentration corresponding to each detection time period set in the current season, and forms a time period comparison parameter set Q'iw(q′iw1,q′iw2,...,q′iwt,...,q′iwh)，q′iwt is expressed as a direct difference value between a numerical value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area and a standard numerical value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area corresponding to the current season;
the modeling analysis server calculates the safety influence coefficient of the power line according to the diameter ratio comparison set, the cable load power comparison set and the time period comparison parameter set of the cable and the protection pipe, and sends the calculated safety influence coefficient of the power line to the management server;
the management server receives the power line safety influence coefficients sent by the modeling analysis server, compares the power line safety influence coefficients with power line safety influence coefficient ranges corresponding to all safety levels stored in the database, if the power line safety influence coefficients are smaller than the lower limit value of the power line safety influence coefficient range corresponding to the first-level safety level, the management server does not send early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the first-level safety level, the management server sends the first-level early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the second-level safety level, the management server sends the second-level early warning instructions to the early warning module, if the power line safety influence coefficients are in the power line safety influence coefficient range corresponding to the third-level safety level, the management server sends a three-level early warning instruction to the early warning module, and simultaneously sends the electric power safety influence coefficient to the display terminal;
the early warning module receives early warning instructions of different levels sent by the management server and carries out early warning of corresponding levels;
and the display terminal receives and displays the power line safety influence coefficient sent by the management server.
2. The smart grid power line safety real-time online monitoring and early warning management system as claimed in claim 1, wherein: the environment parameter detection module comprises a temperature detection unit and a humidity detection unit, the temperature detection unit is a temperature sensor and is installed in the cable protection tube and used for detecting the temperature in each detection sub-region in real time, and the humidity detection unit is a humidity sensor and is installed in the cable protection tube and used for detecting the humidity in each detection sub-region in real time.
3. The smart grid power line safety real-time online monitoring and early warning management system as claimed in claim 1, wherein: the number of the temperature sensors, the number of the humidity sensors, the number of the gas detectors and the number of the cable detectors are consistent with the number of the detection subareas.
4. The smart grid power line safety real-time online monitoring and early warning management system as claimed in claim 1, wherein: the upper limit value of the electric power line safety influence coefficient range corresponding to the first-level safety level is smaller than the lower limit value of the electric power line safety influence coefficient range corresponding to the second-level safety level, and the upper limit value of the electric power line safety influence coefficient range corresponding to the second-level safety level is smaller than the lower limit value of the electric power line safety influence coefficient range corresponding to the third-level safety level.
5. The smart grid power line security entity of claim 1The online monitoring early warning management system is characterized in that: the calculation formula of the ratio of the inner diameter of the cable protection tube to the outer diameter of the cable in each detection subarea is
bi represents the inner diameter of the cable protection tube in the ith detection sub-area, and ai represents the outer diameter of the cable in the ith detection sub-area.
6. The smart grid power line safety real-time online monitoring and early warning management system as claimed in claim 1, wherein: the calculation formula of the safety influence coefficient of the power line is
d′it is expressed as the difference between the load power of the cable in the t detection time period in the ith detection subarea and the standard load power of the cable, dit is the load power of the cable in the t detection time period in the ith detection subarea, q'iwt is represented as the direct difference between the value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area and the standard value corresponding to the w-th detection parameter in the t-th detection time period in the ith detection sub-area corresponding to the current season, q isiwt represents a numerical value corresponding to a w-th detection parameter in a t-th detection time period in an ith detection sub-area, c' i represents a difference value between a ratio of the outer diameter of the cable to the inner diameter of the cable protection tube in the ith detection sub-area and a standard ratio, and ci represents a ratio of the outer diameter of the cable to the inner diameter of the cable protection tube in the ith detection sub-area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110203152.1A CN112966374A (en) | 2021-02-23 | 2021-02-23 | Intelligent power grid power line safety real-time online prediction early warning management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110203152.1A CN112966374A (en) | 2021-02-23 | 2021-02-23 | Intelligent power grid power line safety real-time online prediction early warning management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112966374A true CN112966374A (en) | 2021-06-15 |
Family
ID=76285769
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110203152.1A Withdrawn CN112966374A (en) | 2021-02-23 | 2021-02-23 | Intelligent power grid power line safety real-time online prediction early warning management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112966374A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116336398A (en) * | 2023-05-24 | 2023-06-27 | 成都秦川物联网科技股份有限公司 | Intelligent gas leakage safety monitoring method, system and medium based on Internet of things |
| CN116698134A (en) * | 2023-08-09 | 2023-09-05 | 国网安徽省电力有限公司合肥供电公司 | Safety monitoring system for operation of underground limited space of power grid |
| CN116796651A (en) * | 2023-08-24 | 2023-09-22 | 国网浙江省电力有限公司宁波供电公司 | Power cable aging fault analysis method, electronic equipment and storage medium |
| CN117789436A (en) * | 2024-02-28 | 2024-03-29 | 深圳市越达电气设备有限公司 | Safety monitoring and control system for bus duct |
-
2021
- 2021-02-23 CN CN202110203152.1A patent/CN112966374A/en not_active Withdrawn
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116336398A (en) * | 2023-05-24 | 2023-06-27 | 成都秦川物联网科技股份有限公司 | Intelligent gas leakage safety monitoring method, system and medium based on Internet of things |
| CN116336398B (en) * | 2023-05-24 | 2023-07-25 | 成都秦川物联网科技股份有限公司 | Intelligent gas leakage safety monitoring method, system and medium based on Internet of things |
| CN116698134A (en) * | 2023-08-09 | 2023-09-05 | 国网安徽省电力有限公司合肥供电公司 | Safety monitoring system for operation of underground limited space of power grid |
| CN116698134B (en) * | 2023-08-09 | 2023-12-29 | 国网安徽省电力有限公司合肥供电公司 | Safety monitoring system for operation of underground limited space of power grid |
| CN116796651A (en) * | 2023-08-24 | 2023-09-22 | 国网浙江省电力有限公司宁波供电公司 | Power cable aging fault analysis method, electronic equipment and storage medium |
| CN116796651B (en) * | 2023-08-24 | 2023-12-26 | 国网浙江省电力有限公司宁波供电公司 | Power cable aging fault analysis method, electronic equipment and storage medium |
| CN117789436A (en) * | 2024-02-28 | 2024-03-29 | 深圳市越达电气设备有限公司 | Safety monitoring and control system for bus duct |
| CN117789436B (en) * | 2024-02-28 | 2024-05-10 | 深圳市越达电气设备有限公司 | Safety monitoring and control system for bus duct |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112966374A (en) | Intelligent power grid power line safety real-time online prediction early warning management system | |
| AU2013224891B2 (en) | Method and system for real time dry low nitrogen oxide (DLN) and diffusion combustion monitoring | |
| CN112990288A (en) | Online monitoring and fault prediction system for large equipment | |
| CN111578150B (en) | Online real-time monitoring of oil gas delivery pipe network safety and early warning management system | |
| CN101719299A (en) | Alarm system and method for fire and combustible gas | |
| CN107606489B (en) | A kind of burning line management method, apparatus and system | |
| CN107131429B (en) | Underground gas pipeline leak detection system and underground gas pipeline leak hunting method | |
| CN110569513B (en) | Optimization method for horizontal arrangement distance of hazardous chemical gas detector | |
| CN114321740B (en) | Combustible gas leakage point positioning method, system and readable storage module | |
| CN105890844A (en) | Qualitative and quantitative detection method for tiny leakage of hidden oil storage tank | |
| CN108803466B (en) | A kind of Industrial Boiler efficiency on-line detecting system and method | |
| CN112177661B (en) | Accurate monitoring and abnormity early warning system and method for local ventilation parameters of coal mine | |
| CN104374429A (en) | Petrochemical wharf storage tank area safety early warning system based on extension theory and running method of petrochemical wharf storage tank area safety early warning system | |
| CN112862188A (en) | Multi-sensor environment prediction method and system | |
| CN112985713A (en) | Pipe network leakage monitoring method and system based on edge calculation | |
| CN117078072A (en) | Multi-dimensional environment data supervision method and supervision system | |
| CN116182090A (en) | Gas pipeline accident disaster monitoring and managing method and system based on knowledge graph | |
| KR102564669B1 (en) | Leakage and corrosion monitoring system for buried pipe | |
| CN116305699B (en) | Pipeline supervision system based on omnibearing sensing | |
| CN116777088A (en) | Power supply emergency repair environment monitoring method and system for guaranteeing life safety | |
| JPH06117600A (en) | System for estimating leakage point and leakage volume of gas, steam or the like | |
| CN113532384B (en) | Underground pipe network linear displacement settlement monitoring method based on wireless sensor technology and cloud monitoring platform | |
| CN114723139A (en) | Digital pipe network control system based on GIS | |
| Begeš et al. | Automatic weather stations and the quality function deployment method | |
| Yin et al. | Design of a real-time ship fuel consumption monitoring system with self-checking function |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210615 |