CN117071706B - Drainage pipe network control system for municipal road - Google Patents
Drainage pipe network control system for municipal road Download PDFInfo
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- 238000004458 analytical method Methods 0.000 claims abstract description 53
- 238000012544 monitoring process Methods 0.000 claims abstract description 30
- 238000004062 sedimentation Methods 0.000 claims abstract description 24
- 239000007789 gas Substances 0.000 claims description 99
- 238000000034 method Methods 0.000 claims description 25
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 16
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 6
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 6
- 238000004868 gas analysis Methods 0.000 claims description 5
- 238000009825 accumulation Methods 0.000 claims description 4
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 3
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 claims description 3
- 229910021529 ammonia Inorganic materials 0.000 claims description 3
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 3
- 229910000037 hydrogen sulfide Inorganic materials 0.000 claims description 3
- 238000011835 investigation Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F3/00—Sewer pipe-line systems
- E03F3/02—Arrangement of sewer pipe-lines or pipe-line systems
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F5/00—Sewerage structures
- E03F5/08—Ventilation of sewers
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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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/004—CO or CO2
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0044—Sulphides, e.g. H2S
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0047—Organic compounds
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
- G01N33/0063—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means
- G01N33/0065—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display using a threshold to release an alarm or displaying means using more than one threshold
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Abstract
The invention relates to the technical field of drainage pipe network management, and particularly discloses a drainage pipe network control system for municipal roads, which comprises the following components: the environment information acquisition end is used for acquiring real-time rainfall information; the pipe network flow monitoring module is arranged on key nodes of the drainage pipe network and is used for monitoring real-time flow information of the nodes; the twin model simulator is used for predicting the state of each section of drainage pipe network according to the arrangement information of the drainage pipe network to obtain prediction state information; the system comprises a sedimentation analysis end, a sedimentation analysis end and a sedimentation analysis end, wherein the sedimentation analysis end is used for carrying out sectional analysis on real-time rainfall information, real-time flow information monitored at two ends of each section of drainage pipe network and predicted state information of the section of drainage pipe network to obtain a sedimentation state of the drainage pipe network, and carrying out overall analysis according to the sedimentation state of each section of drainage pipe network to obtain a sedimentation risk drainage pipe network section; the information sending end is used for sending corresponding reminding information according to the siltation state and siltation risk of the drainage pipe network.
Description
Technical Field
The invention relates to the technical field of drainage pipe network management, in particular to a drainage pipe network control system for municipal roads.
Background
The drainage pipe network is a main collection facility for urban sewage and rainwater, has a wide installation range, is buried underground in advance and bears the requirement of urban drainage, so that the state of the drainage pipe network is related to the urban drainage waterlogging prevention effect, the running state of the drainage pipe network is monitored and early-warned in time, hidden danger existing in the drainage pipe network can be treated in time, and the normal and stable running of the system is guaranteed.
With the rapid development and application of the internet of things technology and intelligent hardware, the existing drainage pipe network is provided with a related drainage state monitoring device, for example, a flow detection device and the like are arranged at key points of the drainage pipe network, so that the drainage state is judged in real time, when obvious abnormality occurs, judgment of the on-off and silting states of the drainage pipe network is realized, and then management staff is timely reminded of processing the drainage pipe network, and stable operation of a pipe network system is ensured.
However, although the above-mentioned existing scheme can judge the problem that the drainage pipe network appears, because the drainage pipe network running state and the complexity of arranging, therefore need judge under the comparatively obvious state of problem that the drainage pipe network appears, the judgement result has certain hysteresis quality, and then makes the timeliness of handling influenced.
Disclosure of Invention
The invention aims to provide a drainage pipe network control system for municipal roads, which solves the following technical problems:
and judging the potential operation risk of the drainage pipe network in time.
The aim of the invention can be achieved by the following technical scheme:
a drainage network control system for municipal roads, the system comprising:
the environment information acquisition end is used for acquiring real-time rainfall information;
the pipe network flow monitoring module is arranged on key nodes of the drainage pipe network and is used for monitoring real-time flow information of the nodes;
the twin model simulator is used for predicting the state of each section of drainage pipe network according to the arrangement information of the drainage pipe network to obtain prediction state information;
the system comprises a sedimentation analysis end, a sedimentation analysis end and a sedimentation analysis end, wherein the sedimentation analysis end is used for carrying out sectional analysis on real-time rainfall information, real-time flow information monitored at two ends of each section of drainage pipe network and predicted state information of the section of drainage pipe network to obtain a sedimentation state of the drainage pipe network, and carrying out overall analysis according to the sedimentation state of each section of drainage pipe network to obtain a sedimentation risk drainage pipe network section;
the information sending end is used for sending corresponding reminding information according to the siltation state and siltation risk of the drainage pipe network.
Further, the real-time flow information comprises a real-time flow size and a real-time water pressure size;
the process of the segment analysis comprises the following steps:
by the formulas (1) - (3):
S i (t)＝(S Pi *x 1 +S Qi *x 2 )*f Ri (r(t))/Q li (t+Δt i ) (1)
S Pi ＝f Pi (P ui (t)，P li (t+Δt i )-P ui (t)/P ui (t)) (2)
S Qi ＝f Qi (Q ui (t)，Q ui (t)-Q li (t+Δt i )/Q ui (t)) (3)
calculating to obtain the state value S of the ith section of drainage pipeline at the current time point i (t)；
Wherein S is Pi The pressure abnormal value of the i-th section drainage pipeline; s is S Qi The flow abnormal value of the i section drainage pipeline; x is x 1 、x 2 Is a weight coefficient; r (t) is a real-time rainfall variation curve with time; f (f) Ri The i-th section drainage pipeline flow obtained by the twin model simulator is compared with the rainfall; q (Q) li (t+Δt i ) The outlet water of the ith section of drainage pipeline is at t+delta t i The flow magnitude at the time point; p (P) ui (t) is the pressure of the inlet water of the ith section of drainage pipeline at the time point t; p (P) li (t+Δt i ) The outlet water of the ith section of drainage pipeline is at t+delta t i The pressure magnitude at the time point; f (f) Pi A pressure state comparison table function of the ith section of drainage pipeline; q (Q) ui (t) is the flow of the water inlet of the ith section of drainage pipeline at the time point t; f (f) Qi A flow state comparison table function for the ith section of drainage pipeline; Δt (delta t) i The time delay value of the ith section of drainage pipeline;
state value S of the ith section of drainage pipeline i (t) monitoring in real time when the state value S i And (t) early warning is carried out when the early warning value is exceeded, and corresponding instruction information is sent out.
Further, the overall analysis process includes:
acquiring drainage pipelines with state values not exceeding the early warning value, and respectively acquiring state value accumulation amounts of each section of drainage pipelines in a preset fixed period;
and early warning is carried out on the pipelines according to the distribution state of the accumulated quantity of all the state values of the drainage pipelines in the same area, and corresponding instruction information is sent out.
Further, the overall analysis process further includes:
by the formulas (4) - (5):
calculating to obtain a distribution characteristic value uf;
wherein y is 1 ～t 2 For a preset period of time V i Accumulating the state values of the drainage pipelines of the ith section; n is the paragraph number of the drainage pipeline in the region, i epsilon [1, N]；Accumulating the quantity average value for the state values of all the drainage pipelines;
comparing the distribution characteristic value uf with a preset fixed threshold value uf 0:
if uf is less than or equal to uf0, judging that the overall state is normal;
if uf > uf0, then steps S1-S2 are performed:
s1, pairs from big to smallSorting is carried out, and V of the name before sorting is removed i Then recalculating to obtain a new distribution characteristic value uf1;
s2, comparing the new distribution characteristic value uf1 obtained by recalculation with a preset fixed threshold value uf 0:
if uf1 is less than or equal to uf0, judging that the drainage pipeline corresponding to the previous name is at a siltation risk;
if uf1 > uf0, then remove V of the first two of the ordering i The distribution characteristic value uf is then recalculated and step S2 is repeated.
Further, the system further comprises:
the in-pipeline gas monitoring module is used for monitoring the concentration state of harmful gas in the drainage pipeline in real time;
the gas analysis module is used for sending out an exhaust instruction according to the concentration state of the harmful gas and carrying out gas state analysis according to the concentration state of the harmful gas of all the drainage pipelines to obtain a gas state analysis result;
and the exhaust port control module is used for executing an exhaust instruction and executing a corresponding strategy according to the gas state analysis result.
Further, the process of issuing the exhaust instruction includes:
and respectively comparing the concentrations of various monitored harmful gases with corresponding thresholds:
if any harmful gas concentration is greater than or equal to a corresponding threshold value, an exhaust instruction is sent out;
otherwise, through the formulaCalculating to obtain the harmful gas state value C at the t time point gas (t)；
Wherein M is the monitoring item number of harmful gas, j E [1, M]；C j (t) monitoring the concentration of the harmful gas for a jth time point t; C0C 0 j Is the j-th harmful gas concentration threshold; f (f) b (x) When x is greater than or equal to 0, f is as a judgment function b (x) =x; when x < 0, f b (x)＝0；ΔuC j A dimensionality removal reference value for the j-th harmful gas concentration; alpha j The influence coefficient of the concentration of the harmful gas is the j-th item;
the harmful gas state value C gas (t) and control threshold C gas 1, comparing:
if C gas (t)≥C gas And 1, issuing an exhaust instruction.
Further, the process of gas state analysis includes:
if C gas (t)＜C gas 1, then the analysis is performed at regular intervals of time Δt:
by the formulaCalculating to obtain harmful gas prediction state value C pre (t)；
Wherein,for delta t period C j (t) a maximum value of a first order derivative function; mu is a preset fixed coefficient, and mu is less than 1;
predicting the state value C of harmful gas pre (t) and control threshold C pre 1, comparing:
if C pre (t)≥C pre And 1, issuing an exhaust instruction.
Further, the harmful gases monitored by the gas monitoring module in the pipeline comprise methane, hydrogen sulfide, ammonia, carbon monoxide and TVOC.
The invention has the beneficial effects that:
(1) The invention compares the actual running states of each drainage pipeline as a reference, is more sensitive to the judging process of the monitoring result, judges the sedimentation state of the drainage pipeline more accurately and timely, processes the sedimentation state as early as possible, and ensures the orderly and stable running of the drainage pipeline network system; the pertinence of personnel to the drainage pipe network investigation can also be improved, and then the investigation efficiency can be improved, and the personnel configuration is simplified.
(2) According to the invention, the gas analysis module is used for sending out the exhaust instruction according to the concentration state of the harmful gas, and carrying out gas state analysis according to the concentration state of the harmful gas of all the drainage pipelines to obtain a gas state analysis result, and the exhaust port control module is used for executing the exhaust instruction and executing a corresponding strategy according to the gas state analysis result, so that the harmful gas in the drainage pipelines can be timely discharged, and potential safety hazards are avoided.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a logic block diagram of a drainage network control system for municipal roads according to the invention;
FIG. 2 is a decision flow chart of the overall analysis process of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in one embodiment, a drainage pipe network control system for municipal roads is provided, where the system includes an environmental information collection end, a pipe network flow monitoring module, a twin model simulator, a siltation analysis end and an information sending end, and on the basis of the internet of things technology, the system is arranged on a key node of a drainage pipe network through the pipe network flow monitoring module, so that real-time flow information of the node can be monitored; on the basis, real-time rainfall information is acquired through an environment information acquisition end, the state of each section of drainage pipe network is predicted through a twin model simulator according to the arrangement structure of the drainage pipe network, predicted state information is obtained, and then in the analysis process, the real-time rainfall information, the real-time flow information monitored at the two ends of each section of drainage pipe network and the predicted state information of the section of drainage pipe network are subjected to sectional analysis through a siltation analysis end, the siltation state of the drainage pipe network is obtained, and according to the siltation state of each section of drainage pipe network, integral analysis is carried out to obtain siltation risk drainage pipe network sections, and corresponding reminding information is sent out through an information sending end according to the siltation state of the drainage pipe network and the siltation risk drainage pipe network sections, wherein in the process, the analysis process is based on the actual running state of each drainage pipe network as a reference, so that the determination process of a monitoring result is more sensitive, the siltation state of the drainage pipe is more accurately and timely determined, and orderly and stable running of the drainage pipe network system is ensured; meanwhile, in the aspect of the whole, the scheme of automatic monitoring and early warning in advance in the embodiment can improve the pertinence of personnel to the drainage pipe network investigation, further can improve the investigation efficiency and simplifies the personnel configuration.
It should be noted that the twin model simulator is built according to a three-dimensional model of the drainage pipeline arranged underground, and the predicted state information can be determined by simulating the state of the fluid, and the process is obtained based on the basic knowledge of fluid simulation, which is not described in detail herein.
As one embodiment of the present invention, the flow information includes a real-time flow size and a real-time water pressure size; the process of segment analysis includes:
by the formulas (1) - (3):
S i (t)＝(S Pi *x 1 +S Qi *x 2 )*f Ri (r(t))/Q li (t+Δt i ) (1)
S Pi ＝f Pi (P ui (t)，P li (t+Δt i )-P ui (t)/P ui (t)) (2)
S Qi ＝f Qi (Q ui (t)，Q ui (t)-Q li (t+Δt i )/Q ui (t)) (3)
calculating to obtain the state value S of the ith section of drainage pipeline at the current time point i (t); by the calculation process of the formulas (1) - (3), the deviation condition S of the pressure can be calculated Pi Deviation S of flow Qi And a deviation state f of the flow rate from the predicted state corresponding to the rainfall information Ri (r(t))/Q li (t+Δt i ) Performing comprehensive analysis to obtain a state value S i (t) realizing the judging process of the state of the drainage pipeline, wherein S Pi The pressure abnormal value of the i-th section drainage pipeline; s is S Qi Is the abnormal flow value x of the ith section of drainage pipeline 1 、x 2 Is a weight coefficient, which is obtained by fitting data according to the weight influenced by influencing factors in empirical data, r (t) is a real-time rainfall time-dependent change curve, which is obtained by an environmental information acquisition end, f Ri The i-th section drainage pipeline flow obtained by the twin model simulator is compared with the rainfall; f (f) Pi A pressure state comparison table function of the ith section of pipeline; f (f) Qi A flow state comparison table function for the ith section of pipeline; f (f) Ri 、f Pi F Qi The comparison relation obtained by the twin model simulator through data fitting is embodied by defining a function; q (Q) li (t+Δt i ) The outlet water of the ith section of drainage pipeline is at t+delta t i The flow magnitude at the time point; p (P) ui (t) is the pressure of the inlet water of the ith section of drainage pipeline at the time point t; p (P) li (t+Δt i ) The outlet water of the ith section of drainage pipeline is at t+delta t i The pressure magnitude at the time point; q (Q) ui (t) is the flow of the water inlet of the ith section of drainage pipeline at the time point t; Δt (delta t) i The time delay value of the ith section of drainage pipeline is related according to the length, the pipe diameter and the arrangement mode of the section of pipeline, and the value is obtained according to test data; thus, P li (t+Δt i )-P ui (t)/P ui (t) shows the pressure difference condition, Q ui (t)-Q li (t+Δt i )/Q ui (t) the flow difference condition is reflected, and then the state value S of the ith section of drainage pipeline is passed i (t) monitoring in real time when the state value S i And (t) early warning is carried out when the early warning value is exceeded, corresponding instruction information is sent, the accumulation state of the drainage pipeline at the section can be judged accurately in time, and the timeliness of processing is ensured.
As one embodiment of the present invention, the overall analysis process includes: acquiring drainage pipelines with state values not exceeding the early warning value, and respectively acquiring state value accumulation amounts of each section of drainage pipelines in a preset fixed period; early warning is carried out on the pipelines according to the distribution state of the accumulated quantity of all the state values of the drainage pipelines in the same area, and corresponding instruction information is sent out; on the basis of judging the drainage pipeline state through the state value, the drainage states of the same area are relatively close, so that the sedimentation state of the drainage pipeline is further judged.
Specifically, referring to fig. 1, the overall analysis process further includes: by the formulas (4) - (5):
calculating to obtain a distribution characteristic value uf;
wherein V is i The state value of the ith section of drainage pipeline is accumulated, t 1 ～t 2 Is a preset period of time, thus V i Reflecting the accumulated state of the ith pipeline in the preset period of time and then passingCalculating the discrete degree of the accumulated quantity of the state values of all the drainage pipelines, wherein N is the paragraph number of the drainage pipelines in the area, i is E [1, N]；/>The state value of the overall drainage pipeline is determined by the distribution characteristic value uf, specifically, the distribution characteristic value uf is compared with a preset fixed threshold value uf0, the preset fixed threshold value uf0 is obtained according to empirical data fitting, and therefore, if uf is less than or equal to uf0, the overall state is judged to be normal; if uf > uf0, then steps S1-S2 are performed: s1, the ∈1 is performed on the ∈10 in the order from big to small>Sorting is carried out, and V of the name before sorting is removed i Then recalculating to obtain a new distribution characteristic value uf1; s2, comparing the new distribution characteristic value uf1 obtained by recalculation with a preset fixed threshold value uf 0: if uf1 is less than or equal to uf0, judging that the drainage pipeline corresponding to the previous name is at a siltation risk; if uf1 > uf0, then remove V of the first two of the ordering i And then recalculate the distribution characteristic value uf, and repeat the step S2 to judge until the distribution characteristic value calculated by all the residual drainage pipelines is less than or equal to uf0, obviously, V is removed i The corresponding pipeline state value affects the overall result and therefore presents a risk problemThe probability is larger, and then the accurate judgment of the potential drainage pipeline siltation state is realized.
As one embodiment of the invention, the system further comprises an in-pipeline gas monitoring module, a gas analysis module and an exhaust port control module, wherein the in-pipeline gas monitoring module is used for monitoring the concentration state of harmful gas in the drainage pipeline in real time; and then the gas analysis module is used for sending out an exhaust instruction according to the concentration state of the harmful gas, and carrying out gas state analysis according to the concentration state of the harmful gas of all the drainage pipelines to obtain a gas state analysis result, and the exhaust port control module is used for executing the exhaust instruction and executing a corresponding strategy according to the gas state analysis result, so that the harmful gas in the drainage pipelines can be timely discharged, and potential safety hazards are avoided, wherein the harmful gas monitored by the gas monitoring module in the pipelines comprises but is not limited to methane, hydrogen sulfide, ammonia, carbon monoxide and TVOC.
As one embodiment of the present invention, the process of issuing the exhaust instruction includes:
and respectively comparing the concentrations of various monitored harmful gases with corresponding thresholds:
if any harmful gas concentration is greater than or equal to a corresponding threshold value, an exhaust instruction is sent out;
otherwise, through the formulaCalculating to obtain the harmful gas state value C at the t time point gas (t); wherein M is the monitoring item number of harmful gas, j E [1, M]；C j (t) monitoring the concentration of the harmful gas for a jth time point t; C0C 0 j Is the j-th harmful gas concentration threshold; f (f) b (x) When x is greater than or equal to 0, f is as a judgment function b (x) =x; when x < 0, f b (x)＝0；ΔuC j The j-th harmful gas concentration dimensionality reference value is formulated according to historical data of different harmful gas types, alpha j Is the influence coefficient of the concentration of the j-th harmful gas, which is obtained by fitting empirical data according to the influence degree of the parameter, thus the state value C of the harmful gas gas (t) reflecting the harmful gas at the current timeIs to influence the state of the harmful gas state value C gas (t) and control threshold C gas 1, comparing with threshold C gas 1 is set by fitting according to empirical data, thus if C gas (t)≥C gas 1, it indicates that there is a large risk, and thus an exhaust instruction is issued.
As one embodiment of the present invention, the process of gas state analysis includes:
if C gas (t)＜C gas 1, then the analysis is performed at regular intervals of time Δt:
by the formulaCalculating to obtain harmful gas prediction state value C pre (t); wherein->For delta t period C j (t) a maximum value of a first order derivative function; mu is a preset fixed coefficient, and mu is less than 1, which is obtained according to test data fitting, thus calculating the obtained harmful gas prediction state value C pre (t) reflecting the risk of variation over a fixed interval period by predicting the state value C of the harmful gas pre (t) and control threshold C pre 1, comparing with threshold C pre 1 is set by fitting according to empirical data, thus if C pre (t)≥C pre 1, the potential risk is larger, so that an exhaust instruction is sent, harmful gas in the drainage pipeline can be timely discharged, and potential safety hazards are avoided.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (5)
1. A drainage network control system for municipal roads, the system comprising:
the environment information acquisition end is used for acquiring real-time rainfall information;
the pipe network flow monitoring module is arranged on key nodes of the drainage pipe network and is used for monitoring real-time flow information of the nodes;
the twin model simulator is used for predicting the state of each section of drainage pipe network according to the arrangement information of the drainage pipe network to obtain prediction state information;
the system comprises a sedimentation analysis end, a sedimentation analysis end and a sedimentation analysis end, wherein the sedimentation analysis end is used for carrying out sectional analysis on real-time rainfall information, real-time flow information monitored at two ends of each section of drainage pipe network and predicted state information of the section of drainage pipe network to obtain a sedimentation state of the drainage pipe network, and carrying out overall analysis according to the sedimentation state of each section of drainage pipe network to obtain a sedimentation risk drainage pipe network section;
the information sending end is used for sending corresponding reminding information according to the siltation state and siltation risk of the drainage pipe network;
the real-time flow information comprises a real-time flow size and a real-time water pressure size;
the process of the segment analysis comprises the following steps:
by the formulas (1) - (3):
S i (t)＝(S Pi *x 1 +S Qi *x 2 )*f Ri (r(t))/Q li (t+Δt i ) (1)
s Pi ＝f Pi (P ui (t)，P li (t+Δt i )-P ui (t)/P ui (t)) (2)
s Qi ＝f Qi (Q ui (t)，Q ui (t))-Q li (t+Δt i )/Q ui (t)) (3)
calculating to obtain the state value S of the ith section of drainage pipeline at the current time point i (t)；
Wherein S is Pi The pressure abnormal value of the i-th section drainage pipeline; s is S Qi The flow abnormal value of the i section drainage pipeline; x is x 1 、x 2 Is a weight coefficient; r (t) is a real-time rainfall variation curve with time; f (f) Ri The ith section drainage pipeline flow obtained for the twin model simulator is paired with rainfallIrradiating the function; q (Q) li (t+Δt i ) The outlet water of the ith section of drainage pipeline is at t+delta t i The flow magnitude at the time point; p (P) ui (t) is the pressure of the inlet water of the ith section of drainage pipeline at the time point t; p (P) li (t+Δt i ) The outlet water of the ith section of drainage pipeline is at t+delta t i The pressure magnitude at the time point; f (f) Pi A pressure state comparison table function of the ith section of drainage pipeline; q (Q) ui (t) is the flow of the water inlet of the ith section of drainage pipeline at the time point t; f (f) Qi A flow state comparison table function for the ith section of drainage pipeline; Δt (delta t) i The time delay value of the ith section of drainage pipeline;
state value S of the ith section of drainage pipeline i (t) monitoring in real time when the state value S i (t) early warning is carried out when the early warning value is exceeded, and corresponding instruction information is sent out;
the whole analysis process comprises the following steps:
acquiring drainage pipelines with state values not exceeding the early warning value, and respectively acquiring state value accumulation amounts of each section of drainage pipelines in a preset fixed period;
early warning is carried out on the pipelines according to the distribution state of the accumulated quantity of all the state values of the drainage pipelines in the same area, and corresponding instruction information is sent out;
the process of global analysis further comprises:
by the formulas (4) - (5):
calculating to obtain a distribution characteristic value uf;
wherein t is 1 ～t 2 For a preset period of time V i Accumulating the state values of the drainage pipelines of the ith section; n is the paragraph number of the drainage pipeline in the region, i epsilon [1, N]；Accumulating the quantity average value for the state values of all the drainage pipelines;
comparing the distribution characteristic value uf with a preset fixed threshold value uf 0:
if uf is less than or equal to uf0, judging that the overall state is normal;
if uf > uf0, then steps S1-S2 are performed:
s1, pairs from big to smallSorting is carried out, and V of the name before sorting is removed i Then recalculating to obtain a new distribution characteristic value uf1;
s2, comparing the new distribution characteristic value uf1 obtained by recalculation with a preset fixed threshold value uf 0:
if uf1 is less than or equal to uf0, judging that the drainage pipeline corresponding to the previous name is in the order has a siltation risk:
if uf1 > uf0, then remove V of the first two of the ordering i The distribution characteristic value uf is then recalculated and step S2 is repeated.
2. The sewer piping control system for a municipal road according to claim 1, wherein the system further comprises:
the in-pipeline gas monitoring module is used for monitoring the concentration state of harmful gas in the drainage pipeline in real time:
the gas analysis module is used for sending out an exhaust instruction according to the concentration state of the harmful gas and carrying out gas state analysis according to the concentration state of the harmful gas of all the drainage pipelines to obtain a gas state analysis result;
and the exhaust port control module is used for executing an exhaust instruction and executing a corresponding strategy according to the gas state analysis result.
3. The municipal water discharge pipe network control system according to claim 2, wherein the exhaust command issuing process comprises:
and respectively comparing the concentrations of various monitored harmful gases with corresponding thresholds:
if any harmful gas concentration is greater than or equal to a corresponding threshold value, an exhaust instruction is sent out:
otherwise, through the formulaCalculating to obtain the harmful gas state value C at the t time point gas (t)；
Wherein M is the monitoring item number of harmful gas, j E [1, M]；C i (t) monitoring the concentration of the harmful gas for a jth time point t; C0C 0 j Is the j-th harmful gas concentration threshold; f (f) b (x) When x is greater than or equal to 0, f is as a judgment function b (x) =x; when x < 0, f b (x)＝0；ΔuC j A dimensionality removal reference value for the j-th harmful gas concentration; alpha j The influence coefficient of the concentration of the harmful gas is the j-th item;
the harmful gas state value C gas (t) and control threshold C gas 1, comparing:
if C gas (t)≥C gas And 1, issuing an exhaust instruction.
4. A system for controlling a drainage network for municipal roads according to claim 3, wherein the gas state analysis process comprises:
if C gas (t)＜C gas 1, then the analysis is performed at regular intervals of time Δt:
by the formulaCalculating to obtain harmful gas prediction state value C pre (t)；
Wherein,for delta t period C j (t) a maximum value of a first order derivative function; mu is a preset fixed coefficient, and mu is less than 1;
predicting the state value C of harmful gas pre (t) Against a threshold C pre 1, comparing:
if C pre (t)≥C pre And 1, issuing an exhaust instruction.
5. The system of any one of claims 2-4, wherein the harmful gases monitored by the in-line gas monitoring module include methane, hydrogen sulfide, ammonia, carbon monoxide and TVOC.
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