CN117348540A - Urban drainage intelligent scheduling system - Google Patents
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- 239000010865 sewage Substances 0.000 claims abstract description 118
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 111
- 238000004088 simulation Methods 0.000 claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims description 10
- 238000012806 monitoring device Methods 0.000 claims description 6
- 230000002265 prevention Effects 0.000 claims description 6
- 238000000034 method Methods 0.000 abstract description 8
- 241000196324 Embryophyta Species 0.000 description 44
- 241000219000 Populus Species 0.000 description 6
- 238000005086 pumping Methods 0.000 description 6
- 239000007788 liquid Substances 0.000 description 5
- 229910000831 Steel Inorganic materials 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 239000010959 steel Substances 0.000 description 4
- 238000009825 accumulation Methods 0.000 description 2
- 239000010813 municipal solid waste Substances 0.000 description 2
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 229940036057 clearcanal Drugs 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 229910052709 silver Inorganic materials 0.000 description 1
- 239000004332 silver Substances 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
- 238000001363 water suppression through gradient tailored excitation Methods 0.000 description 1
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
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- G05B2219/32252—Scheduling production, machining, job shop
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Abstract
An intelligent scheduling system for urban drainage comprises a real-time scheduling system based on rules and a real-time scheduling system based on simulation prediction; when H is smaller than N, all flow enters the sewage treatment plant to be treated, when H is larger than N, the drainage channel and the sewage interception box are started, part of flow enters the sewage treatment plant, part of flow enters the sewage interception box and part of flow enters the drainage channel, the real-time scheduling system based on simulation prediction outputs a predicted water level H ', when H ' is smaller than N, all flow enters the sewage treatment plant to be treated, and when H ' is larger than N, the drainage channel and the sewage interception box are started, part of flow enters the sewage treatment plant, part of flow enters the sewage interception box and part of flow enters the drainage channel. The drainage system has the advantages that the drainage system realizes drainage basin scheduling in a mode of combining a rule-based real-time control method based on artificial experience and/or a real-time control method based on simulation prediction, can flexibly switch according to project actual working conditions, and improves the operation efficiency of the drainage system to the maximum extent.
Description
Technical Field
The invention relates to a drainage scheduling system, in particular to an intelligent scheduling system for urban drainage.
Background
Along with the city is bigger and bigger, the requirement on the drainage system of the city is higher and higher, and facilities such as a gate, a pump and a sewage treatment plant are arranged to improve the urban drainage efficiency and prevent waterlogging, but the current extreme weather is more and more, the corresponding facilities are added to not only require a large amount of investment, but also are limited by the topography and cannot be developed, for example, a widened river channel is provided, no position which can be widened is arranged on two sides of , a drainage pump is added, the drainage pipe is installed to excavate an urban road, subways and the like are arranged under some roads, and the drainage effect of the drainage system can be only exerted by improving the intelligent control of the existing drainage system.
Disclosure of Invention
According to the intelligent scheduling system for urban drainage, the drainage basin scheduling is realized by combining the traditional control method based on artificial experience, the real-time control method based on rules and/or the real-time control method based on simulation prediction, flexible switching can be performed according to actual working conditions of projects, and the operation efficiency of the drainage system is improved to the greatest extent.
The technical scheme for realizing the content of the invention is that the urban drainage intelligent scheduling system comprises a real-time scheduling system based on rules and a real-time scheduling system based on simulation prediction;
the real-time scheduling system based on rules carries out real-time control according to water levels of positions of a gate, a pump station and a sewage plant, wherein the water levels of the gate, the pump station and the sewage plant adopt real-time water level data acquired by a real-time water level monitoring device to be H, the highest water level allowed by the gate, the pump station and the sewage plant is N, when H is smaller than N, all flow enters the sewage plant for treatment, if the flow processed by the sewage plant is smaller than the entering flow, a sewage interception box is started, part of the flow enters the sewage plant, part of the flow enters the sewage interception box, and when H is larger than N, a drainage channel and a sewage interception box are started, and part of the flow enters the sewage plant, part of the flow enters the sewage interception box and part of the flow enters the drainage channel;
the real-time scheduling system based on simulation prediction carries out simulation control by establishing a model according to water level and weather conditions of the positions of the gate, the pump station and the sewage plant, the water level of the gate, the pump station and the sewage plant adopts real-time water level data collected by a real-time water level monitoring device as H, the highest water level allowed by the gate, the pump station and the sewage plant as N, the weather condition is based on-line monitoring rainfall collection data as X and rainfall forecast prediction future 24 hours rainfall collection data as Y, a gate water level-flow model B1, a pump station water level-flow model B2 and a sewage plant water level-flow model B3 are formed according to the positions and shape parameters of the gate, the pump station and the sewage plant, the real-time water level data H, the on-line monitoring rainfall collection data X and the rainfall forecast future 24 hours as Y, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 are output, when H' is smaller than N, all flows enter the sewage treatment plant to be treated, if the treated flows of the sewage treatment plant are smaller than the entering flow, the sewage treatment plant box is started, and the sewage treatment box is partially enters the sewage box, and the sewage box is partially enters the sewage channel and partially enters the sewage channel, and the sewage box is partially enters the sewage channel is cut off, and partially enters the sewage channel is partially enters the sewage channel.
Furthermore, in the real-time scheduling system based on simulation prediction, a flow monitoring module unit is arranged on a sewage pipe, the flow monitoring module unit generates a reference variable Q, the ratio of the current flow value to the flow value before 10 seconds is Q ', when the Q' value is positive and is more than 1, a gate water level-flow model B1, a pump station water level-flow model B2 and a sewage plant water level-flow model B3 are incremental models, when the Q 'value is positive and is less than 1, a decrement model is provided, and when the Q' value is negative, a backflow model is provided;
when any one of the gate water level-flow model B1, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 is an incremental model, the water flow data of all the acquisition points are sequentially arranged on a display from large to small, the flow is more than 10% of a normal value and is marked with yellow, the flow is more than 20% of a normal value and is marked with red, the yellow/red areas are marked on the corresponding acquisition points and the surrounding areas of the acquisition points, and when the yellow/red areas are more than 40% of the river areas, an early warning scheme is started;
q 'of the simulation results of the gate water level-flow model B1, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 is positive, the backflow prevention scheme is not started, Q' is negative, and the backflow prevention scheme is started.
The drainage system has the advantages that the drainage basin scheduling is performed in a mode of combining the traditional control method based on artificial experience, the real-time control method based on rules and/or the real-time control method based on simulation prediction, flexible switching can be performed according to project actual working conditions, the optimal efficiency of the drainage system is guaranteed to be exerted, and efficient drainage is achieved.
Drawings
FIG. 1 is a block diagram of the working logic of the present invention patent.
Fig. 2 is a diagram of the river system of the airport in martial arts Huang Xiaohe.
FIG. 3 is a schematic diagram of the water system of Wuhan Huang Xiaohe according to the present invention.
FIG. 4 is a schematic diagram of the arrangement of the river system of the Wuhan city airport according to the present invention.
Fig. 5 is a rainfall risk level determination chart based on the "rainfall accumulation amount" and the "rainfall intensity".
FIG. 6 is a graph of hydraulic model calibration results.
Detailed Description
As shown in fig. 1, the urban drainage intelligent scheduling system comprises a real-time scheduling system based on rules, a real-time scheduling system based on simulation prediction and a real-time analysis function based on an online model;
the system comprises a real-time scheduling system based on rules, wherein the real-time control is carried out according to the water levels of the positions of a gate, a pump station and a sewage plant, the water levels of the gate, the pump station and the sewage plant adopt real-time water level data acquired by a real-time water level monitoring device as H, the highest water level allowed by the gate, the pump station and the sewage plant is N, when H is smaller than N, all the flow enters the sewage plant for treatment, if the flow treated by the sewage plant is smaller than the entering flow (the total flow is S, the maximum flow for sewage treatment is Q, namely when S is larger than Q), the sewage interception box is started, part of the flow enters the sewage plant, part of the flow enters the interception box, and when H is larger than N (namely, when the water level of the whole water exceeds the police), the drainage channel is started, part of the flow enters the sewage plant, part of the flow enters the interception box, and part of the flow enters the drainage channel, namely, the drainage is respectively carried out through the sewage plant, the interception box and the drainage channel;
the real-time scheduling system based on simulation prediction carries out simulation control by establishing a model according to water level and weather conditions of the positions of the gate, the pump station and the sewage plant, the water level of the gate, the pump station and the sewage plant adopts real-time water level data collected by a real-time water level monitoring device as H, the highest water level allowed by the gate, the pump station and the sewage plant as N, the weather condition predicts future 24-hour rainfall collection data as Y based on-line monitoring rainfall collection data as X and rainfall forecast, a gate water level-flow model B1, a pump station water level-flow model B2, a sewage plant water level-flow model B3 are formed according to the positions and shape parameters of the gate, the pump station and the sewage plant, the gate water level-flow model B1, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 can pass through section flow in each half hour, the real-time water level data H (measured data in fig. 6), the on-line monitoring rainfall collecting data X and the rainfall forecast future 24-hour rainfall Y (meanwhile, risk level judgment is carried out according to two dimensions of rainfall accumulation and rainfall intensity so as to represent rainfall scenes of different severity levels), the risk levels can be set to be A level, B level and C level as shown in fig. 5 and respectively correspond to rainfall of different degrees such as light rain, medium rain and heavy rain, if the received rainfall data are judged to reach the lowest risk level, the model is automatically connected with the forecast data, and operation calculation is started, the operation result is also hooked with the corresponding risk level, and the emergency scheduling work in the later stage is assisted) the water gate water level-flow model B1, the pump station water level-flow model B2, A sewage plant water level-flow model B3, outputting a predicted water level H ' (i.e. the simulated data in fig. 6), when H ' is smaller than N, all the flows enter the sewage plant to be processed, if the flow processed by the sewage plant is smaller than the entering flow, the sewage interception box is started, part of the flows enter the sewage plant, when H ' is larger than N, the drainage channel and the sewage interception box are started, part of the flows enter the sewage plant, part of the flows enter the sewage interception box and part of the flows enter the drainage channel, preferably, in the simulated prediction-based real-time scheduling system, a pipe flow module unit (generally a unit arranged on a sewage pipeline, the water filling speed in the sewage pipe generally depends on the pumping speed of a pump) is arranged on the sewage pipe, the pipe flow module unit generates a reference variable Q, the current water flow value and the water flow value ratio before 10 seconds, the water flow direction flows into a positive value, when the Q value is positive and is larger than 1, the gate water level-flow model B1, the water level-flow model B2 and the sewage plant water level-flow model B3 are positive and when the Q value is smaller than 1 and the increment model is negative and the increment model is smaller than 1;
when any one of the gate water level-flow model B1, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 is an incremental model, namely the Q value is positive and is more than 1, the water flow data of all the collection points are sequentially arranged on a display from large to small, the flow is more than 10% of normal value and is marked with yellow, the flow is more than 20% of normal value and is marked with red, and the yellow/red areas are marked on the corresponding collection points and the surrounding areas of the collection points, and when the yellow/red areas are more than 40% of river areas, an early warning scheme is started, wherein the early warning scheme comprises the steps of adjusting the working power of a water suction pump in advance, so that the up-flowing water quantity of the yellow/red areas is reduced, and the drainage of the down-flowing water quantity is increased;
when any one of the gate water level-flow model B1, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 is a backflow model, setting positive values of water flow directions at all collecting points to the left, setting negative values to the right, when the positive values are always larger than the negative values, not starting a backflow prevention scheme, when the positive values are always smaller than the negative values, starting a backflow prevention scheme, starting a standby drainage channel to enlarge drainage, closing a local gate, and preventing water from directly flowing backwards;
as shown in fig. 2, huang Xiaohe, starting from the young road in Jiang Han area, ends in 10.4 cm before the trash rack of the back lake pump station at the south side of the terminal open embankment. Wherein the box culvert section starts from the young road in Jiang Han area and ends at the position 100m north of the Beijing Guangdong railway bridge, the length of the box culvert is 5.0 km, the length of the box culvert is 5.3 km, and the gradient range is two thousandths to five parts per million; the clear canal section starts from the position 100m north of Beijing Guangdong railway, ends at the front of the trash rack of the back lake pump station at the south side of the tail open public dike, and is 5.4 km long, two parts per million in gradient and 80m in blue line width of the river channel. Huang Xiaohe drainage system confluence range south-rising han river levee, north-resisting Zhang Gongdi, west-connecting airport river system, east-connecting river system, and serving Wusheng road, single portal, taibei road, three-eye bridge, flower bridge, liberation park and other areas of the old city of hankou, and the north-side area of the Hexagon wall of the back lake newcastle and the six-closing ditch, water collection area is 51.4km2, regional drainage is collected and sent into the back lake pump station by Huang Xiaohe open channels, warm road box culverts, rear-connecting construction canal open channels and Han Huang Lu box culverts. The back lake pump station is composed of a first-stage pump station, a second-stage pump station, a third-stage pump station and a fourth-stage pump station. The pump station in the first period of the later lake is built in 1959, the pumping capacity is 12.66m3/s, and the pump station cannot be normally used due to serious ageing of equipment, and the pump station stops running in 1978. The pump station in the second period of the back lake is built in 1972, and the pumping capacity is 37.5m3/s. And then the secondary engineering of the comprehensive treatment of the river water environment of the Huang Xiaohe airport is modified, and the pumping capacity is improved to 88 m3/s. The pump station in the third period of the back lake is built in 1989 to be put into use, and the pumping capacity is 97m3/s; the pumping capacity of the back lake in the fourth stage is 110m3/s.
The whole length of the airport river is 11.4 km, wherein the underground box culvert of the urban area is 5.62 km long, the width of the single-hole box culvert is 3.4 meters, the height is 1.75 meters, and the length is 1810 meters; the width of the double-hole box culvert is 5.1-6.8 m, the height is 2.7 m, the length is 3810 m, the cross section area of the outlet of the box culvert is 18.4 square m, the height of the drain pipes at two sides entering the bottom of the pipe orifice of the underground box culvert is 16.5-17.5 m, and the longitudinal slope is two ten thousandths; the open channel is 5.8 km long, 5.4 m deep, 7.5m wide at the bottom, 13.4 m wide at the top, 15.6 m (head end) in height at the bottom of the box culvert outlet, 15.10 m (tail end) in height at the bottom of the front of the evergreen pump station, one ten thousandth of the longitudinal slope, 2.25 m deep in design water and 37 cubic meters/second in drainage capacity. 2008. After the open channel from the annual public dike to the Jinshan large road section is changed into a box culvert, the length of the airport river box culvert section is increased to 8.0 km, and the open channel is from the amplification road to the Jinshan large road; the height of the bottom of the box culvert outlet canal is 14.5 meters, the length of an open channel (east canal) of an airport is about 3.4 km, and the open channel is started from a Jinshan mountain channel to a evergreen drainage pump station. The airport river belongs to evergreen drainage system, and the service range is evergreen garden and gold and silver pool area outside the original north-south system, the original airport river system and the dyke, and the total area is 78.1km2. The water is mainly collected to an airport river through a Gu Tianer box culvert, a forbidden open channel, an airport river box culvert and a Jin Yintan drainage pipe canal, pumped and discharged to the poplar through a evergreen pump station in the flood season, and discharged from the poplar through a plum pier gate in the non-flood season. The airport river catchment ranges from east to Xinhua road, western stop Wang Gudun airport, south to han river and north to Zhang Gongdi. The drainage is discharged into an airport open channel outside the dike through an airport river box culvert and a yellow-family large bay gate, and goes to the evergreen drainage pump station. When the poplar is at a high water level, the evergreen drainage pump station pumps out the poplar; when the water level of the poplar is low, the river is automatically discharged into the poplar from the pier gate of the plum.
After being modified by the invention, the invention is shown in figures 2 and 3;
(1) Huang Xiaohe system:
on sunny days: the sewage is all passed through the railway bridge underground water plant, and the railway bridge pump station is lifted to Sanjindan for treatment, so that the railway bridge underground water plant is prioritized.
When rainy days:
1) The railway bridge underground water works are prioritized, and overload operation is considered.
2) The sewage enters a railway bridge pump station preferentially, the sewage treatment capacity of Sanjindan is utilized as much as possible, and overload operation is considered.
3) And then enters a sewage interception box culvert, enters Huang Xiaohe CSO for treatment and is discharged.
4) Overflow is carried out through an overflow channel before Huang Xiaohe CSO, over Huang Xiaohe, and overflow is carried out from a railway bridge pump station to a Sanjindan forehearth.
5) Finally, the warning water level is reached, and the gate of the steel dam at the starting end overflows.
(2) Airport river system east canal:
on sunny days:
the sewage is totally caught by the gate of the Dawan of the yellow house and is lifted to the Han-xi sewage plant through a Chang Qinglu pump station.
When rainy days:
1) And (5) giving priority to the evergreen road pump station, utilizing the treatment capacity of the Han and western sewage plants as much as possible, and considering overload operation.
2) And then the gate of the Dawan of Huangjia is reversed, enters the sewage interception box culvert of the airport river, and is discharged after being treated by the CSO of the airport river.
3) When the CSO regulation capacity of the airport river is insufficient, a evergreen park regulation pool is started.
4) And the water passes through the overflow gate before the CSO of the airport river again, and overflows over the airport river.
5) Finally, the gate switching of the west channel steel dam gate is prioritized, and the east channel steel dam gate is ensured not to fall down as much as possible.
3. Airport river system west canal:
on sunny days:
the sewage is completely intercepted by the new pier gate and the forbidden gate, and enters the Hanxi sewage plant through a Gu Tian two-way pump station and a Wang Gudun pump station.
When rainy days:
1) The first Gu Tian two-way pump station and the Wang Gudun pump station utilize the treatment capacity of the Han and western sewage plants as much as possible and consider overload operation
2) Secondly, the sewage enters an airport river sewage interception box culvert through a east-west canal communicated gate, and is discharged after being treated by an airport river CSO
3) The water passes through the overflow gate before CSO of the airport river again and overflows across the airport river
4) Finally reaching the warning water level of the western canal, and switching over overflow of the gate of the starting end steel dam
The liquid level of the key point position exceeds the warning water level 261 times when the invention is not adopted in the aspect of pipe network liquid level control under the same drainage condition compared with the liquid level of the first 360 days after the invention is adopted, the liquid level of the key point position exceeds the warning water level 33 times after the invention is adopted, and the number of times of exceeding the warning liquid level is reduced by 87.36%; in the aspect of overflow frequency control, 27 overflows occur in the whole river basin when the invention is not adopted, and after the invention is adopted, 4 overflows occur in the whole river basin, and the overflow frequency is reduced by 85.19%; in the aspect of overflow total control, when the invention is not adopted, the overflow total of the whole river basin is 387 ten thousand cubic meters, and when the invention is adopted, the overflow total of the whole river basin is 45 ten thousand cubic meters, and the overflow total is reduced by 88.37 percent.
Claims (2)
1. The intelligent scheduling system for urban drainage is characterized by comprising a real-time scheduling system based on rules and a real-time scheduling system based on simulation prediction;
the real-time scheduling system based on rules carries out real-time control according to water levels of positions of a gate, a pump station and a sewage plant, wherein the water levels of the gate, the pump station and the sewage plant adopt real-time water level data acquired by a real-time water level monitoring device to be H, the highest water level allowed by the gate, the pump station and the sewage plant is N, when H is smaller than N, all flow enters the sewage plant for treatment, if the flow processed by the sewage plant is smaller than the entering flow, a sewage interception box is started, part of the flow enters the sewage plant, part of the flow enters the sewage interception box, and when H is larger than N, a drainage channel and a sewage interception box are started, and part of the flow enters the sewage plant, part of the flow enters the sewage interception box and part of the flow enters the drainage channel;
the real-time scheduling system based on simulation prediction carries out simulation control by establishing a model according to water level and weather conditions of the positions of the gate, the pump station and the sewage plant, the water level of the gate, the pump station and the sewage plant adopts real-time water level data collected by a real-time water level monitoring device as H, the highest water level allowed by the gate, the pump station and the sewage plant as N, the weather condition is based on-line monitoring rainfall collection data as X and rainfall forecast prediction future 24 hours rainfall collection data as Y, a gate water level-flow model B1, a pump station water level-flow model B2 and a sewage plant water level-flow model B3 are formed according to the positions and shape parameters of the gate, the pump station and the sewage plant, the real-time water level data H, the on-line monitoring rainfall collection data X and the rainfall forecast future 24 hours as Y, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 are output, when H' is smaller than N, all flows enter the sewage treatment plant to be treated, if the treated flows of the sewage treatment plant are smaller than the entering flow, the sewage treatment plant box is started, and the sewage treatment box is partially enters the sewage box, and the sewage box is partially enters the sewage channel and partially enters the sewage channel, and the sewage box is partially enters the sewage channel is cut off, and partially enters the sewage channel is partially enters the sewage channel.
2. The intelligent urban drainage scheduling system according to claim 1, wherein in the real-time scheduling system based on simulation prediction, a flow monitoring module unit is arranged on a sewage pipe, the flow monitoring module unit generates a reference variable Q, the ratio of the current flow value to the flow value before 10 seconds is Q ', when the Q' value is positive and is more than 1, a gate water level-flow model B1, a pump station water level-flow model B2 and a sewage plant water level-flow model B3 are incremental models, when the Q 'value is positive and is less than 1, a decrement model is provided, and when the Q' value is negative, a backflow model is provided;
when any one of the gate water level-flow model B1, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 is an incremental model, the water flow data of all the acquisition points are sequentially arranged on a display from large to small, the flow is more than 10% of a normal value and is marked with yellow, the flow is more than 20% of a normal value and is marked with red, and when the yellow is marked in the corresponding acquisition points and the surrounding area of the acquisition points and the Huang Gongou area is more than 40% of a river area, an early warning scheme is started;
q 'of the simulation results of the gate water level-flow model B1, the pump station water level-flow model B2 and the sewage plant water level-flow model B3 is positive, the backflow prevention scheme is not started, Q' is negative, and the backflow prevention scheme is started.
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| CN117892976A (en) * | 2024-02-20 | 2024-04-16 | 安徽省水利水电勘测设计研究总院股份有限公司 | Scheduling operation method for deep and shallow Kong Geye steel dams |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117892976A (en) * | 2024-02-20 | 2024-04-16 | 安徽省水利水电勘测设计研究总院股份有限公司 | Scheduling operation method for deep and shallow Kong Geye steel dams |
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