CN115162496A - Municipal drainage pipe network intelligence on-line monitoring analysis management system based on it is intelligent - Google Patents
Municipal drainage pipe network intelligence on-line monitoring analysis management system based on it is intelligent Download PDFInfo
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F7/00—Other installations or implements for operating sewer systems, e.g. for preventing or indicating stoppage; Emptying cesspools
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- E—FIXED CONSTRUCTIONS
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- E03F2201/00—Details, devices or methods not otherwise provided for
- E03F2201/20—Measuring flow in sewer systems
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F2201/00—Details, devices or methods not otherwise provided for
- E03F2201/40—Means for indicating blockage in sewer systems
Abstract
The invention discloses an intelligent on-line monitoring, analyzing and managing system for a municipal drainage pipe network based on intellectualization, which comprises the following components: the system comprises a shaft counting and numbering module, a shaft safety analysis module, a drainage pipeline blocking analysis module, a management server, a database and an early warning terminal, wherein when the shaft is detected and analyzed, the concentration of harmful gas, attachments on the inner wall of the shaft, the sinking height of the shaft and the damage degree inside the shaft are detected, the safety of the shaft is analyzed from multiple dimensions, the analysis result is comprehensive, the safety of the shaft is ensured, and the safe and effective operation of the drainage pipeline can be further ensured, so that the operation fault occurrence rate of a drainage pipeline network is reduced.
Description
Technical Field
The invention relates to the technical field of drainage pipe networks, in particular to an intelligent on-line monitoring, analyzing and managing system for a municipal drainage pipe network based on intellectualization.
Background
With the development of science and technology and the progress of times, the development of modern cities is more and more rapid, the urban drainage pipe network is an important infrastructure construction of the modern cities and is concerned about the water safety of people, and the safe and effective operation of the urban drainage pipe network can ensure the water safety of people, so that the detection and analysis of the drainage pipe network are particularly important.
The existing drainage pipe network detection is mainly only used for detecting and analyzing the concentration of harmful gas and the attachments on the inner wall of a shaft when the shaft is detected and analyzed, and is mainly used for detecting and analyzing the flow velocity of water at the inlet and the outlet of a drainage pipe when the drainage pipe is detected and analyzed, so that the following defects are specifically existed:
(1) The existing drainage pipe network is mainly only used for detecting and analyzing harmful gas concentration and attachments on the inner wall of a shaft when the safety of the shaft is detected and analyzed, the influence of the sinking height of the shaft and the damage degree inside the shaft on the safety of the inner wall of the shaft is ignored, the analysis dimensionality is single, and further the safety of the shaft cannot be ensured, on one hand, the phenomenon that the drainage pipe drains is influenced due to the fact that the shaft sinks easily is caused, and further the safety risk of the drainage pipe is increased, on the other hand, when the damage degree of the inner wall of the shaft is higher but timely repair cannot be carried out, the safety of the shaft cannot be guaranteed, and further the safe and effective operation of the drainage pipe network is influenced, so that the operation fault of the drainage pipe network is easily caused.
(2) Current drain pipe network detects and carries out velocity of flow detection and analysis mostly only to the entrance and the exit of drainage pipe when detecting and analyzing drainage pipe's blockiness, can't be pertinence must judge the region that drainage pipe goes wrong, when drainage pipe appears blockking up, the staff need investigate drainage pipe to staff's maintenance efficiency has been reduced.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides an intelligent on-line monitoring, analyzing and managing system for a municipal drainage pipe network based on intelligence, which can effectively solve the problems in the background art.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a municipal drainage pipe network intelligence on-line monitoring analysis management system based on it is intelligent, includes: the system comprises a shaft counting and numbering module, a shaft safety analysis module, a drainage pipeline blocking analysis module, a management server, a database and an early warning terminal;
the shaft counting and numbering module is used for numbering all shafts in the municipal administration area into 1,2,. Multidot.i,. Multidot.n;
the shaft safety analysis module is used for analyzing the safety of each shaft at each set detection time point so as to obtain the safety coefficient of each shaft at each detection time point, and comprises a shaft danger parameter detection unit, a shaft danger parameter analysis unit and a shaft inner wall damage analysis unit;
the drainage pipeline blocking property analysis module is used for carrying out region division on drainage pipelines so as to obtain each drainage pipeline sub-region, and the drainage pipeline sub-regions are respectively numbered as 1,2, 1, m, r so as to analyze the blocking property of each drainage pipeline sub-region and further obtain the blocking coefficient corresponding to each drainage pipeline sub-region, and comprises a drainage flowmeter setting unit and a drainage flow rate analysis unit;
the management server is used for analyzing the alarm well cover number and the dangerous well cover number according to the safety factor corresponding to each detection time point of each shaft and the blocking coefficient corresponding to each drainage pipeline sub-region;
the database is used for storing the concentration of allowable harmful gas of the shaft, storing the initial height of each shaft, storing the weight factor corresponding to each attachment type, storing the risk factor corresponding to each damage type and storing the allowable drainage flow rate of the drainage pipeline;
the early warning terminal is used for early warning the staff according to the alarm well lid serial number and the dangerous well lid serial number.
Further, the shaft risk parameter detecting unit is configured to detect a risk parameter of each shaft at each detection time point, and the specific detection method includes:
a1: detecting the harmful gas of each shaft at each detection time point by using a harmful gas detector, and further acquiring the harmful gas concentration of each shaft at each detection time point;
a2: detecting the height of each shaft at each detection time point by using a distance measuring sensor, and further acquiring the height of each shaft at each detection time point;
a3: the method comprises the following steps of collecting inner wall appearance images of all shafts at all detection time points by using a camera, and further obtaining the inner wall appearance images of all shafts at all detection time points;
a4: and identifying attachment parameters of each shaft at each detection time point based on the acquired inner wall appearance images of each shaft at each detection time point, wherein the attachment parameters comprise an attachment type and an attachment volume.
Further, the shaft risk parameter analysis unit is used for analyzing the risk parameters of each shaft at each detection time point, and the specific analysis method is as follows:
b1: numbering each detection time point as 1, 2.. Multidot.p.. Multidot.l;
b2: comparing the harmful gas concentration of each shaft at each detection time point with the allowable harmful gas concentration of the shaft stored in the database, and further analyzing the harmful gas pollution coefficient of each shaft corresponding to each detection time point, wherein the calculation formula is as follows:
wherein κ ip Representing the harmful gas pollution coefficient of the ith shaft corresponding to the p detection time point, q ip The harmful gas concentration of the ith shaft at the p detection time point is shown, and q' represents the allowable harmful gas concentration of the shaft;
b3: comparing the height of each shaft at each detection time point with the initial height of each shaft stored in the database, and further analyzing the sinking coefficient of each shaft corresponding to each detection time point, wherein the calculation formula is as follows:
wherein eta ip Represents the sinking coefficient, h, of the ith shaft corresponding to the p detection time point ip Represents the height of the ith wellbore at the p-th detection time point, h i ' denotes an initial height of the ith wellbore;
b4: extracting attachment types from the attachment parameters of the wellbores at each detection time point, matching the attachment types with the weight factors corresponding to the attachment types stored in the database, and matching the weight factors corresponding to the attachment types of the wellbores at each detection time point;
b5: obtaining the volume of each shaft;
b6: analyzing the pollution coefficient corresponding to each shaft at each detection time point according to the volume of each shaft, the attached object volume of each shaft at each detection time point and the weight factor of the type of the attached object, wherein the calculation formula is as follows:
wherein epsilon ip Indicating the contamination coefficient, v, of the ith wellbore at the p-th detection time point ip Represents the volume of deposit, v, of the ith well bore at the p detection time point i ' denotes the volume of the ith wellbore, λ ip A weighting factor representing the attachment type at the p-th detection time point for the i-th wellbore.
Further, the well bore inner wall damage analyzing unit is used for analyzing the damage of the well bore inner wall, and the specific analyzing method comprises the following steps:
c1: identifying damage parameters of the inner wall of the shaft based on the acquired appearance images of the inner wall of each shaft at each detection time point, wherein the damage parameters comprise a damage type and a damage area;
c2: extracting damage types from the damage parameters of the inner wall of each well casing at each detection time point, matching the damage types with the risk factors corresponding to each damage type stored in the database, and further matching the risk factors of the corresponding damage types of the inner wall of each well casing at each detection time point;
c3: acquiring the surface area of the inner wall of each well cylinder;
c4: analyzing the inner wall damage coefficient of each shaft corresponding to each detection time point according to the surface area of the inner wall of each shaft, the damage area of the inner wall of each shaft at each detection time point and the risk factor of the damage type, wherein the calculation formula is as follows:
wherein
Representing the damage coefficient of the inner wall of the ith shaft corresponding to the p detection time point, s ip To representDamaged area of ith wellbore at p-th detection time point, s i ' denotes the surface area of the inner wall of the i-th wellbore, γ ip And the danger factor representing that the inner wall of the ith wellbore at the p detection time point corresponds to the damage type.
Further, a specific calculation formula of the safety factor of each shaft corresponding to each detection time point is as follows:
wherein
And indicating the safety factor of the ith wellbore corresponding to the p detection time point.
Further, the drain flow meter setting unit is configured to set the drain flow meter at the center of each divided drain pipe sub-area.
Further, the drainage flow rate analysis unit is configured to acquire drainage flow rates of the drainage pipe sub-areas in the drainage time periods, and number the drainage time periods as 1,2, j, u, and analyze the drainage flow rates of the drainage pipe sub-areas in the drainage time periods according to the following calculation formula:
wherein V mj Represents the drainage flow rate, Q, corresponding to the mth drainage pipeline subregion in the jth drainage time period mj Represents the drainage flow rate, T, of the mth drainage pipeline subregion in the jth drainage time period j Indicating the jth drainage period.
Further, the specific analysis method of the blockage coefficient corresponding to each drainage pipeline subregion comprises the following steps:
d1: comparing the drainage flow rate of each drainage pipeline subregion in each drainage time period with the drainage flow rate allowed by the drainage pipeline stored in the database, and further analyzing the reasonable coefficient of the drainage flow rate of each drainage pipeline subregion in each drainage time period, wherein the calculation formula is as follows:
wherein theta is mj 'represents a reasonable drainage flow rate coefficient corresponding to the mth drainage pipeline subregion in the jth drainage time period, and V' represents the allowable drainage flow rate of the drainage pipeline;
d2: analyzing the blocking coefficient corresponding to each drainage pipeline subregion according to the reasonable drainage flow rate coefficient corresponding to each drainage pipeline subregion in each drainage time period, wherein the calculation formula is as follows:
wherein theta is m And (4) representing the corresponding blockage coefficient of the mth drainage pipeline subarea.
Further, the specific analysis method for analyzing the alarm well cover number and the dangerous well cover number according to the safety factors corresponding to the shafts at the detection time points and the blocking coefficients corresponding to the drainage pipeline sub-regions is as follows:
e1: all well lids in the municipal administration area are respectively corresponding to each other according to the numbering sequence of all mineshafts, and are respectively numbered as 1',2', 1, i ', n', so as to obtain the numbering of the corresponding well lids of all the mineshafts;
e2: comparing the safety coefficient corresponding to each detection time point of each shaft with a preset shaft danger early warning value, if the safety coefficient corresponding to a certain detection time point of a certain shaft is smaller than the shaft danger early warning value, acquiring the number of the detection time point and the number of a well cover corresponding to the shaft, and recording the number as an alarm well cover number;
e3: acquiring related drainage pipe subareas corresponding to the well covers according to the arrangement positions of the well covers so as to obtain a set of related drainage pipe subarea numbers corresponding to the well covers;
e4: and comparing the blocking coefficient corresponding to each drainage pipeline subregion with a preset drainage pipeline blocking early warning value, and if the blocking coefficient corresponding to a certain drainage pipeline subregion is greater than the drainage pipeline blocking early warning value, matching the number of the drainage pipeline subregion with the set of the associated drainage pipeline subregion numbers corresponding to each well cover, matching the well covers corresponding to the drainage pipeline, acquiring the numbers of the well covers, and recording the numbers as the dangerous well cover numbers.
Further, the specific method for carrying out early warning on the staff according to the alarm well lid number and the dangerous well lid number is as follows:
f1: numbering the alarm well covers at the detection time points of the alarm well covers to perform shaft abnormity early warning on workers;
f2: and numbering the dangerous well covers to carry out drainage pipeline abnormity early warning on workers.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) When the shaft is detected and analyzed, the concentration of harmful gas and the attachments on the inner wall of the shaft are detected and analyzed, the sinking height of the shaft and the damage degree inside the shaft are analyzed, the safety of the shaft is analyzed from multiple dimensions, the analysis result is comprehensive, on one hand, the phenomenon that the shaft sinks to influence the drainage of a drainage pipeline is avoided, and further, the safety risk of the drainage pipeline is reduced, on the other hand, the safety of the shaft is ensured, and further, the safe and effective operation of the drainage pipeline can be ensured, so that the operation fault occurrence rate of a drainage pipeline network is reduced.
(2) According to the method, when the blocking performance of the drainage pipeline is detected and analyzed, the drainage pipeline is divided into the sub-areas, so that the water flow speed of each drainage pipeline sub-area is monitored, the defect that only the drainage flow speed at the inlet and the outlet of the drainage pipeline is detected and analyzed in the prior art is overcome, the area with the problem of the drainage pipeline can be determined in a targeted manner, and the maintenance efficiency of workers is 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, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a schematic diagram of an intelligent on-line monitoring, analyzing and managing system for municipal drainage pipe networks based on intellectualization.
FIG. 2 is a schematic diagram of a wellbore safety analysis module of the present invention.
FIG. 3 is a schematic diagram of a drainage pipeline clogging analysis module according to 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 invention provides an intelligent on-line monitoring, analyzing and managing system for municipal drainage network based on intellectualization, comprising: the system comprises a shaft counting and numbering module, a shaft safety analysis module, a drainage pipeline blocking analysis module, a management server, a database and an early warning terminal.
The shaft counting and numbering module is respectively connected with the shaft safety analysis module and the management server, the shaft safety analysis module and the drainage pipeline blockage analysis module are both connected with the management server, the management server is connected with the early warning terminal, and the database is respectively connected with the shaft safety analysis module and the drainage pipeline blockage analysis module.
The shaft counting and numbering module is used for numbering all shafts in the municipal administration area as 1, 2.
The shaft safety analysis module is used for analyzing the safety of each shaft at each set detection time point, and further obtaining the safety factor of each shaft corresponding to each detection time point, and as shown in fig. 2, the shaft safety analysis module comprises a shaft dangerous parameter detection unit, a shaft dangerous parameter analysis unit and a shaft inner wall damage analysis unit.
In a specific embodiment, the wellbore risk parameter detecting unit is configured to detect a risk parameter of each wellbore at each detection time point, and a specific detection method thereof is as follows:
a1: detecting the harmful gas of each shaft at each detection time point by using a harmful gas detector, and further acquiring the harmful gas concentration of each shaft at each detection time point;
a2: detecting the height of each shaft at each detection time point by using a distance measuring sensor, and further acquiring the height of each shaft at each detection time point;
a3: the method comprises the following steps of collecting inner wall appearance images of all shafts at all detection time points by using a camera, and further obtaining the inner wall appearance images of all shafts at all detection time points;
a4: and identifying attachment parameters of each shaft at each detection time point based on the acquired inner wall appearance image of each shaft at each detection time point, wherein the attachment parameters comprise an attachment type and an attachment volume.
The types of the fouling include algae, cement, sand, and the like.
In a specific embodiment, the wellbore risk parameter analysis unit is configured to analyze the risk parameter of each wellbore at each detection time point, and the specific analysis method includes:
b1: numbering each detection time point as 1, 2.. Multidot.p.. Multidot.l;
b2: comparing the harmful gas concentration of each shaft at each detection time point with the allowable harmful gas concentration of the shaft stored in the database, and further analyzing the harmful gas pollution coefficient of each shaft corresponding to each detection time point, wherein the calculation formula is as follows:
wherein κ ip Representing the harmful gas pollution coefficient of the ith shaft corresponding to the p detection time point, q ip The harmful gas concentration of the ith shaft at the p detection time point is shown, and q' represents the allowable harmful gas concentration of the shaft;
b3: comparing the height of each shaft at each detection time point with the initial height of each shaft stored in the database, and further analyzing the sinking coefficient of each shaft corresponding to each detection time point, wherein the calculation formula is as follows:
wherein eta ip Represents the sinking coefficient, h, of the ith shaft corresponding to the p detection time point ip Represents the height of the ith wellbore at the p-th detection time point, h i ' denotes an initial height of an ith wellbore;
b4: extracting attachment types from the attachment parameters of the wellbores at each detection time point, matching the attachment types with the weight factors corresponding to the attachment types stored in the database, and matching the weight factors corresponding to the attachment types of the wellbores at each detection time point;
b5: obtaining the volume of each shaft;
b6: analyzing the pollution coefficient of each shaft corresponding to each detection time point according to the volume of each shaft, the attached object volume of each shaft at each detection time point and the weight factor of the attached object type, wherein the calculation formula is as follows:
wherein epsilon ip Indicating the contamination coefficient, v, of the ith wellbore at the p-th detection time point ip Represents the deposit volume, v, of the ith wellbore at the p-th detection time point i ' denotes the volume of the ith wellbore, λ ip A weighting factor representing the attachment type at the p-th detection time point for the i-th wellbore.
If the concentration of harmful gas in the shaft is too high, the shaft sinks and the attachments in the shaft are increased, the safety of the shaft is affected, and the safe use of the shaft cannot be ensured, so that the pollution coefficient, the sinking coefficient and the pollution coefficient of the harmful gas in the shaft need to be analyzed.
In a specific embodiment, the wellbore inner wall damage analyzing unit is configured to analyze the damage of the wellbore inner wall, and the specific analyzing method includes:
c1: identifying damage parameters of the inner wall of the shaft based on the acquired inner wall appearance images of the shafts at all detection time points, wherein the damage parameters comprise damage types and damage areas;
it should be noted that the damage types include cracks, bulges, fractures, and the like.
C2: extracting damage types from the damage parameters of the inner wall of each well casing at each detection time point, matching the damage types with the risk factors corresponding to each damage type stored in the database, and further matching the risk factors of the corresponding damage types of the inner wall of each well casing at each detection time point;
c3: acquiring the surface area of the inner wall of each well cylinder;
c4: analyzing the inner wall damage coefficient of each shaft corresponding to each detection time point according to the surface area of the inner wall of each shaft, the damage area of the inner wall of each shaft at each detection time point and the risk factor of the damage type, wherein the calculation formula is as follows:
wherein
Representing the damage coefficient of the inner wall of the ith shaft corresponding to the p detection time point, s ip Represents the damaged area of the ith wellbore at the p-th detection time point, s i ' denotes the surface area of the inner wall of the i-th wellbore, γ ip And the danger factor representing that the inner wall of the ith wellbore at the p detection time point corresponds to the damage type.
In a specific embodiment, a specific calculation formula of the safety factor of each wellbore at each detection time point is as follows:
wherein
And indicating the safety factor of the ith wellbore corresponding to the p detection time point.
In the present invention, the purpose of analyzing the damage of the inner wall of the shaft is to analyze the damage of the inner wall of the shaft because the quality of the shaft cannot be guaranteed and the safety of the shaft cannot be ensured if the damage of the inner wall of the shaft is too large.
When the shaft is detected and analyzed, the concentration of harmful gas and the attachments on the inner wall of the shaft are detected and analyzed, the sinking height of the shaft and the damage degree inside the shaft are analyzed, the safety of the shaft is analyzed from multiple dimensions, the analysis result is comprehensive, on one hand, the phenomenon that the shaft sinks to influence the drainage of a drainage pipeline is avoided, and further, the safety risk of the drainage pipeline is reduced, on the other hand, the safety of the shaft is ensured, and further, the safe and effective operation of the drainage pipeline can be ensured, so that the operation fault occurrence rate of a drainage pipeline network is reduced.
The drainage pipeline blocking performance analysis module is used for performing region division on a drainage pipeline to obtain each drainage pipeline sub-region, and the drainage pipeline sub-regions are respectively numbered as 1,2, 1, m, r, so that the blocking performance of each drainage pipeline sub-region is analyzed to obtain a blocking coefficient corresponding to each drainage pipeline sub-region, and referring to fig. 3, the drainage pipeline blocking performance analysis module comprises a drainage flowmeter setting unit and a drainage flow rate analysis unit.
In a specific embodiment, the drain flow meter setting unit is configured to set the drain flow meter at the center of each divided drain pipe subregion.
In a specific embodiment, the drainage flow rate analysis unit is configured to acquire drainage flow rates of the drainage pipe sub-areas in the drainage time periods, and number the drainage time periods to 1,2, j, u, and accordingly analyze the drainage flow rates of the drainage pipe sub-areas in the drainage time periods, where a calculation formula is as follows:
wherein V mj Represents the drainage flow rate, Q, corresponding to the mth drainage pipeline subarea in the jth drainage time period mj Showing the drainage flow rate, T, of the mth drainage pipeline subarea in the jth drainage time period j Indicating the jth drainage period.
In a specific embodiment, a specific analysis method of the blockage coefficient corresponding to each drainage pipeline subregion is as follows:
d1: comparing the drainage flow rate of each drainage pipeline subregion in each drainage time period with the drainage flow rate allowed by the drainage pipeline stored in the database, and further analyzing the reasonable coefficient of the drainage flow rate of each drainage pipeline subregion in each drainage time period, wherein the calculation formula is as follows:
wherein theta is mj 'represents a drainage flow rate reasonable coefficient corresponding to the mth drainage pipeline subarea in the jth drainage time period, and V' represents a drainage flow rate allowed by a drainage pipeline;
d2: analyzing the blocking coefficient corresponding to each drainage pipeline subregion according to the reasonable drainage flow rate coefficient corresponding to each drainage pipeline subregion in each drainage time period, wherein the calculation formula is as follows:
wherein theta is m And (4) representing the corresponding blockage coefficient of the mth drainage pipeline subarea.
According to the method, when the blocking performance of the drainage pipeline is detected and analyzed, the drainage pipeline is divided into the sub-areas, so that the water flow speed of each drainage pipeline sub-area is monitored, the defect that only the drainage flow speed at the inlet and the outlet of the drainage pipeline is detected and analyzed in the prior art is overcome, the area with the problem of the drainage pipeline can be determined in a targeted manner, and the maintenance efficiency of workers is improved.
And the management server is used for analyzing the alarm well lid number and the dangerous well lid number according to the safety factor corresponding to each shaft at each detection time point and the blocking coefficient corresponding to each drainage pipeline sub-region.
In a specific embodiment, the specific analysis method for analyzing the alarm well lid number and the dangerous well lid number according to the safety factor corresponding to each detection time point of each shaft and the blocking coefficient corresponding to each drainage pipeline sub-region is as follows:
e1: all well lids in the municipal administration area are sequentially corresponding according to the numbering sequence of all the shafts, and are respectively numbered as 1',2', 1., i ', n', so that the numbering of the well lids corresponding to all the shafts is obtained;
e2: comparing the safety coefficient corresponding to each detection time point of each shaft with a preset shaft danger early warning value, if the safety coefficient corresponding to a certain detection time point of a certain shaft is smaller than the shaft danger early warning value, acquiring the number of the detection time point and the number of a well cover corresponding to the shaft, and recording the number as an alarm well cover number;
e3: acquiring related drainage pipe sub-areas corresponding to the well covers according to the arrangement positions of the well covers, and further acquiring a set of related drainage pipe sub-area numbers corresponding to the well covers;
e4: the blocking coefficients corresponding to the sub-regions of the drainage pipelines are compared with the preset drainage pipeline blocking early warning value, if the blocking coefficient corresponding to a certain drainage pipeline sub-region is larger than the drainage pipeline blocking early warning value, the numbers of the sub-regions of the drainage pipelines are matched with the set of the numbers of the sub-regions of the related drainage pipelines corresponding to the well covers, the well covers corresponding to the drainage pipelines are matched from the sets, the numbers of the well covers are obtained, and the numbers are recorded as the dangerous well cover numbers.
It should be noted that the alarm well lid number and the dangerous well lid number are analyzed through the corresponding blocking coefficients of the drainage pipeline sub-regions, so that the alarm well lid number and the dangerous well lid number are matched with the nearest well lid number needing to be repaired by a worker, and the worker can conveniently perform corresponding maintenance.
The database is used for storing the concentration of the allowable harmful gas of the shaft, storing the initial height of each shaft, storing the weight factor corresponding to each attachment type, storing the danger factor corresponding to each damage type and storing the allowable drainage flow rate of the drainage pipeline.
The early warning terminal is used for early warning workers according to the alarm well lid number and the dangerous well lid number.
In a specific embodiment, the specific method for performing early warning on the staff according to the alarm well lid number and the dangerous well lid number is as follows:
f1: numbering the alarm well covers at the detection time points of the alarm well covers to perform shaft abnormity early warning on workers;
f2: and numbering the dangerous well covers to carry out drainage pipeline abnormity early warning on workers.
It should be noted that when the corresponding early warning is performed on the working personnel according to the well lid number, different early warnings are performed from two aspects, and then the corresponding early warning is performed on the working personnel in a targeted manner, so that the maintenance efficiency of the working personnel on the shaft or the drainage pipeline is improved.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. The utility model provides a municipal drainage pipe network intelligence on-line monitoring analysis management system based on it is intelligent which characterized in that includes: the system comprises a shaft counting and numbering module, a shaft safety analysis module, a drainage pipeline blockage analysis module, a management server, a database and an early warning terminal;
the shaft counting and numbering module is used for numbering all shafts in the urban area as 1,2, a.
The shaft safety analysis module is used for analyzing the safety of each shaft at each set detection time point so as to obtain the safety factor of each shaft corresponding to each detection time point, and comprises a shaft danger parameter detection unit, a shaft danger parameter analysis unit and a shaft inner wall damage analysis unit;
the drainage pipeline blocking performance analysis module is used for carrying out region division on a drainage pipeline so as to obtain each drainage pipeline sub-region, and the drainage pipeline sub-regions are respectively numbered as 1,2, 1, m, r so as to analyze the blocking performance of each drainage pipeline sub-region and further obtain a blocking coefficient corresponding to each drainage pipeline sub-region, and comprises a drainage flowmeter setting unit and a drainage flow rate analysis unit;
the management server is used for analyzing the alarm well cover number and the dangerous well cover number according to the safety coefficient corresponding to each shaft at each detection time point and the blocking coefficient corresponding to each drainage pipeline sub-area;
the database is used for storing the concentration of the allowable harmful gas of the shaft, storing the initial height of each shaft, storing the weight factor corresponding to each attachment type, storing the danger factor corresponding to each damage type and storing the allowable drainage flow rate of the drainage pipeline;
the early warning terminal is used for early warning the staff according to the alarm well lid serial number and the dangerous well lid serial number.
2. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on the intellectualization as claimed in claim 1, wherein: the shaft danger parameter detection unit is used for detecting the danger parameters of each shaft at each detection time point, and the specific detection method comprises the following steps:
a1: detecting the harmful gas of each shaft at each detection time point by using a harmful gas detector, and further acquiring the harmful gas concentration of each shaft at each detection time point;
a2: detecting the height of each shaft at each detection time point by using a distance measuring sensor, and further acquiring the height of each shaft at each detection time point;
a3: acquiring the inner wall appearance images of the shafts at all detection time points by using a camera, and further acquiring the inner wall appearance images of the shafts at all detection time points;
a4: and identifying attachment parameters of each shaft at each detection time point based on the acquired inner wall appearance image of each shaft at each detection time point, wherein the attachment parameters comprise an attachment type and an attachment volume.
3. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on the intellectualization as claimed in claim 1, wherein: the shaft danger parameter analysis unit is used for analyzing the danger parameters of each shaft at each detection time point, and the specific analysis method comprises the following steps:
b1: numbering each detection time point as 1, 2.. Multidot.p.. Multidot.l;
b2: comparing the harmful gas concentration of each shaft at each detection time point with the allowable harmful gas concentration of the shaft stored in the database, and further analyzing the harmful gas pollution coefficient of each shaft corresponding to each detection time point, wherein the calculation formula is as follows:
wherein κ ip Representing the harmful gas pollution coefficient of the ith shaft corresponding to the p detection time point, q ip The harmful gas concentration of the ith shaft at the p detection time point is shown, and q' represents the allowable harmful gas concentration of the shaft;
b3: comparing the height of each shaft at each detection time point with the initial height of each shaft stored in the database, and further analyzing the sinking coefficient of each shaft corresponding to each detection time point, wherein the calculation formula is as follows:
wherein eta ip Represents the sinking coefficient, h, of the ith shaft corresponding to the p detection time point ip Represents the height of the ith wellbore at the p detection time point, h i ' denotes an initial height of the ith wellbore;
b4: extracting attachment types from the attachment parameters of the wellbores at each detection time point, matching the attachment types with the weight factors corresponding to the attachment types stored in the database, and matching the weight factors of the attachments types corresponding to the wellbore at each detection time point;
b5: obtaining the volume of each shaft;
b6: analyzing the pollution coefficient of each shaft corresponding to each detection time point according to the volume of each shaft, the attached object volume of each shaft at each detection time point and the weight factor of the attached object type, wherein the calculation formula is as follows:
wherein epsilon ip Indicating the contamination coefficient, v, of the ith wellbore at the p-th detection time point ip Represents the volume of deposit, v, of the ith well bore at the p detection time point i ' denotes the volume of the ith wellbore, λ ip A weighting factor representing the type of the attachment at the p-th detection time point for the i-th wellbore.
4. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on the intellectualization as claimed in claim 3, wherein: the damage analysis unit of the inner wall of the shaft is used for analyzing the damage of the inner wall of the shaft, and the specific analysis method comprises the following steps:
c1: identifying damage parameters of the inner wall of the shaft based on the acquired inner wall appearance images of the shafts at all detection time points, wherein the damage parameters comprise damage types and damage areas;
c2: extracting damage types from the damage parameters of the inner wall of each well casing at each detection time point, matching the damage types with the risk factors corresponding to the damage types stored in the database, and further matching the risk factors of the corresponding damage types of the inner wall of each well casing at each detection time point;
c3: acquiring the surface area of the inner wall of each well cylinder;
c4: analyzing the inner wall damage coefficient corresponding to each shaft at each detection time point according to the surface area of the inner wall of each shaft, the damage area of the inner wall of each shaft at each detection time point and the risk factor of the damage type, wherein the calculation formula is as follows:
wherein
Representing the damage coefficient of the inner wall of the ith shaft corresponding to the p detection time point, s ip Representing the area of damage, s, of the ith borehole at the p-th detection time point i ' denotes the surface area of the inner wall of the i-th wellbore, γ ip Indicating that the inner wall of the ith shaft at the p detection time point corresponds to the damage typeThe risk factor of (2).
5. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on intelligence of claim 4, wherein: the specific calculation formula of the safety factor corresponding to each detection time point of each shaft is as follows:
wherein
And indicating the safety factor of the ith wellbore corresponding to the p detection time point.
6. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on intelligence of claim 1, wherein: the water discharge flow meter setting unit is used for setting the water discharge flow meter at the center of each divided water discharge pipeline subregion.
7. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on intelligence of claim 1, wherein: the drainage flow rate analysis unit is used for acquiring drainage flow rates of the drainage pipeline sub-areas in the drainage time periods, numbering the drainage time periods as 1,2, j, u respectively, and analyzing the drainage flow rates of the drainage pipeline sub-areas in the drainage time periods according to the numbering, wherein the calculation formula is as follows:
wherein V mj Represents the drainage flow rate, Q, corresponding to the mth drainage pipeline subregion in the jth drainage time period mj Represents the drainage flow rate, T, of the mth drainage pipeline subregion in the jth drainage time period j Indicating the jth drain period.
8. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on the intellectualization as claimed in claim 7, wherein: the specific analysis method of the blocking coefficient corresponding to each drainage pipeline subregion comprises the following steps:
d1: comparing the drainage flow rate of each drainage pipeline subregion in each drainage time period with the drainage flow rate allowed by the drainage pipeline stored in the database, and further analyzing the reasonable coefficient of the drainage flow rate of each drainage pipeline subregion in each drainage time period, wherein the calculation formula is as follows:
wherein theta is mj 'represents a reasonable drainage flow rate coefficient corresponding to the mth drainage pipeline subregion in the jth drainage time period, and V' represents the allowable drainage flow rate of the drainage pipeline;
d2: analyzing the blocking coefficient corresponding to each drainage pipeline subregion according to the reasonable drainage flow rate coefficient corresponding to each drainage pipeline subregion in each drainage time period, wherein the calculation formula is as follows:
wherein theta is m And (3) representing the corresponding blockage coefficient of the m-th drainage pipeline subregion.
9. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on the intellectualization as claimed in claim 1, wherein: the specific analysis method for analyzing the alarm well cover number and the dangerous well cover number according to the safety factors corresponding to the shafts at the detection time points and the blocking coefficients corresponding to the drainage pipeline sub-regions comprises the following steps:
e1: all well lids in the municipal administration area are sequentially corresponding according to the numbering sequence of all the shafts, and are respectively numbered as 1',2', 1., i ', n', so that the numbering of the well lids corresponding to all the shafts is obtained;
e2: comparing the safety coefficient corresponding to each detection time point of each shaft with a preset shaft danger early warning value, if the safety coefficient corresponding to a certain detection time point of a certain shaft is smaller than the shaft danger early warning value, acquiring the number of the detection time point and the number of a well cover corresponding to the shaft, and recording the number as an alarm well cover number;
e3: acquiring related drainage pipe sub-areas corresponding to the well covers according to the arrangement positions of the well covers, and further acquiring a set of related drainage pipe sub-area numbers corresponding to the well covers;
e4: the blocking coefficients corresponding to the sub-regions of the drainage pipelines are compared with the preset drainage pipeline blocking early warning value, if the blocking coefficient corresponding to a certain drainage pipeline sub-region is larger than the drainage pipeline blocking early warning value, the numbers of the sub-regions of the drainage pipelines are matched with the set of the numbers of the sub-regions of the related drainage pipelines corresponding to the well covers, the well covers corresponding to the drainage pipelines are matched from the sets, the numbers of the well covers are obtained, and the numbers are recorded as the dangerous well cover numbers.
10. The intelligent on-line monitoring, analyzing and managing system for the municipal drainage pipe network based on the intellectualization as claimed in claim 1, wherein: the specific method for carrying out early warning on the workers according to the alarm well lid number and the dangerous well lid number comprises the following steps:
f1: numbering the alarm well cover at the detection time point of the alarm well cover to perform shaft abnormity early warning on a worker;
f2: and numbering the dangerous well covers to carry out drainage pipeline abnormity early warning on workers.
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| Application Number | Priority Date | Filing Date | Title |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116658831A (en) * | 2023-05-29 | 2023-08-29 | 青岛沃泰水技术设备制造有限公司 | Intelligent drainage pipeline real-time monitoring and early warning system based on deep learning |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116658831A (en) * | 2023-05-29 | 2023-08-29 | 青岛沃泰水技术设备制造有限公司 | Intelligent drainage pipeline real-time monitoring and early warning system based on deep learning |
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Application publication date: 20221011 |