CN113123959A - Intelligent water quantity scheduling system for multi-stage pumping station - Google Patents

Intelligent water quantity scheduling system for multi-stage pumping station Download PDF

Info

Publication number
CN113123959A
CN113123959A CN202110418528.0A CN202110418528A CN113123959A CN 113123959 A CN113123959 A CN 113123959A CN 202110418528 A CN202110418528 A CN 202110418528A CN 113123959 A CN113123959 A CN 113123959A
Authority
CN
China
Prior art keywords
pump
scheduling
information
pump station
water
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110418528.0A
Other languages
Chinese (zh)
Other versions
CN113123959B (en
Inventor
顾宁
齐敦哲
郝瑞甫
杨庆胜
吴晓波
魏凯
徐丽娟
李晓刚
沈俊江
于春江
王毅
魏欣
钟磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Water Conservancy Construction Center Of Ningxia Hui Autonomous Region
Original Assignee
Water Conservancy Construction Center Of Ningxia Hui Autonomous Region
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Water Conservancy Construction Center Of Ningxia Hui Autonomous Region filed Critical Water Conservancy Construction Center Of Ningxia Hui Autonomous Region
Priority to CN202110418528.0A priority Critical patent/CN113123959B/en
Publication of CN113123959A publication Critical patent/CN113123959A/en
Application granted granted Critical
Publication of CN113123959B publication Critical patent/CN113123959B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B51/00Testing machines, pumps, or pumping installations
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/007Installations or systems with two or more pumps or pump cylinders, wherein the flow-path through the stages can be changed, e.g. from series to parallel
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04BPOSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/06Control using electricity

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Control Of Positive-Displacement Pumps (AREA)

Abstract

The invention provides an intelligent water quantity scheduling system for a multi-stage pumping station, and belongs to the technical field of hydraulic engineering. The intelligent water quantity scheduling system of the multi-stage water pumping pump station, which comprises a scheduling control center, a plurality of pump station control centers and a plurality of LCU local controllers, is arranged, so that the intelligent water quantity scheduling and comprehensive scheduling of the multi-stage water pumping pump station are realized, the remote measurement, remote signaling, remote control, remote regulation and remote viewing of the operation of the multi-stage water pumping pump station are realized, and the long-term safe, stable, reliable and economic operation of a project is ensured. The intelligent water quantity scheduling system for the multi-stage pumping station realizes comprehensive and integral scheduling of the water quantity of the multi-stage pumping station, adopts a scientific scheduling model, comprehensively considers the water quantity balance of the whole process, and overcomes the problems that the traditional scheduling excessively depends on personal subjectivity, and the scheduling is unreasonable, so that the local water shortage or water abandonment is caused.

Description

Intelligent water quantity scheduling system for multi-stage pumping station
Technical Field
The invention belongs to the technical field of hydraulic engineering, and particularly relates to an intelligent water quantity scheduling system for a multi-stage pumping station.
Background
The yellow diversion project is known as a challenging world-level project, and means that water resources of a yellow river basin with rich water are diverted to a water resource poor area to meet the requirements of domestic water, agricultural water and the like of the water resource poor area. Generally, the diversion process of the 'diversion project' is long, for example, a diversion project has up to 12 lift pump stations only in Ningxia Hui nationality autonomous areas. Because the multistage lift pump station is huge in scale and complex in operation, factors for generating unbalanced flow are many in the actual operation of a project, especially when a dangerous situation occurs in a certain section of channel or a certain pump station fails, an upstream pump station must take corresponding measures immediately, otherwise evacuation or water abandonment occurs, and the factors cause the difficulty in water quantity scheduling and operation. At present, water quantity scheduling is carried out by depending on a decision layer according to experience, subjectivity is strong, if an unreasonable scheduling scheme is generated, the running condition of a unit is difficult to be reasonably determined according to actual water quantity requirements, so that the water supply flow is too small to meet the water supply requirements, the flow is too large, and the energy consumption of the unit is large.
The intelligent water affair is a water affair engineering management method for building a water conservancy informatization system and promoting water conservancy informatization construction based on internet technologies such as internet of things, big data and cloud computing. In the prior art, for example, chinese invention patent with patent number 201911424009.4 provides a method, a device and an electronic device for scheduling a cascade pump station, which specifically includes obtaining flow, angle, power and the like of pump operation, reasonably scheduling the starting flow of a water pump, and reducing system power consumption. However, the scheduling method can only be applied to the scheduling requirements of a small number of or individual pumping stations, and the comprehensive scheduling requirements of the multi-stage pumping station are difficult to meet.
Disclosure of Invention
In view of the above, the invention provides an intelligent water quantity scheduling system for a multi-stage pumping station, which is used for solving the technical problems that the comprehensive water quantity scheduling of the multi-stage pumping station in a diversion project is strong in subjectivity and is easy to cause unreasonable scheduling in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the utility model provides a multistage pumping station water yield intelligent scheduling system, includes: the system comprises a dispatching control center, a plurality of pump station control centers communicated with the dispatching control center and a plurality of LCU local controllers electrically connected with the pump station control centers;
the LCU local controller is used for acquiring pump set operation parameters from the pumping station and responding to instruction information sent by the pump station control center to allocate equipment of the pumping station to work;
the pump station control center is used for receiving the dispatching instruction of the dispatching control center and distributing the dispatching instruction to the corresponding LCU local controller;
the dispatching control center is used for forming dispatching instructions and distributing the dispatching instructions to the pump station control centers;
the dispatching control center comprises a water quantity allocation management module, and the water quantity allocation management module comprises:
the scheduling task receiving unit is used for receiving the scheduling task;
the cloud information acquisition unit is used for acquiring environmental factor information of the pump station area from the cloud end;
the pump station current operation situation acquisition unit is used for acquiring current operation situation information of the pump station;
the scheduling instruction generating unit is used for calculating and generating a scheduling instruction according to the scheduling task, the environmental factor information and the pump station operation current situation information; and
and the scheduling instruction output unit is used for distributing the scheduling instruction to each pump station control center.
Preferably, the scheduling instruction generating unit generates the scheduling instruction of the nth stage pump station according to the following model:
obtaining the output quantity Q of the Nth stage pump station by the formula IcN
QcN=QxN+Qx(N+1)-Qs(N+1)+Qb(N+1)
In the formula, QxNRepresenting the water demand of the Nth stage pump station; qx(N+1)Representing the water demand of the (N + 1) th stage pump station; qs(N+1)Representing the natural loss amount of water of the (N + 1) th-level pump station; qb(N+1)Representing the natural water replenishing quantity of the (N + 1) th stage pump station;
according to the output quantity Q of the Nth stage pump stationcNSynthesizing a flow-frequency relation model of each motor of the Nth-level pump station and a flow-opening relation model of each gate to obtain scheduling information of the Nth-level pump station;
and generating and outputting a scheduling instruction according to the scheduling information.
Preferably, the scheduling instruction generating unit generates the scheduling instruction of the nth stage pump station according to the following model:
acquiring the average water supply flow of each trunk line and each water diversion port based on a scheduling task and a crop irrigation model of an irrigation area;
calculating the daily average water supply flow of each pump station according to a mass conservation law;
with the minimum energy consumption of the pump station as a target, solving an optimized mathematical model under the constraints of a condition I, a condition II and a condition III to obtain the optimal operation unit combination and frequency conversion unit frequency;
the first condition is a water pump performance curve and device characteristics; the second condition is the frequency modulation range of the frequency conversion unit; the third condition is that each pump station can use a water pump and a standby unit;
and generating and outputting a scheduling instruction according to the optimal running unit combination and the frequency of the frequency conversion unit.
Preferably, the scheduling control center further includes a scheduling management module, and the scheduling management module includes:
the scheduling information storage unit is used for storing historical scheduling instruction information; and/or
The engineering inspection and maintenance information processing unit is used for receiving the engineering inspection and maintenance information and generating an inspection and maintenance scheduling instruction according to the engineering inspection and maintenance information; and/or
The local patrol inspection information processing unit is used for receiving and storing the local patrol inspection information; and/or
And the engineering emergency plan disposal unit is used for storing the engineering emergency plans, responding to the operation of engineering personnel and distributing the engineering emergency plans to the control centers of the pump stations.
Preferably, the dispatching control center further comprises a video monitoring module, and the video monitoring module is used for acquiring monitoring video information of an area where each pump station control center is located and an area where each LCU local controller is located.
Preferably, the pump station control center comprises:
the pump health state acquisition module is used for acquiring pump health state information;
the valve opening information acquisition module is used for acquiring valve opening information;
the pump station operation current situation generating module is used for generating pump station operation current situation information according to the pump health state information and the valve opening information;
and the pump station operation current situation feedback module is used for feeding back the pump station operation current situation information to the dispatching control center.
Preferably, the pump health status obtaining module includes:
the pump characteristic parameter acquisition unit is used for acquiring pump characteristic parameters;
a secondary evaluation value acquisition unit for acquiring a secondary evaluation value based on a hierarchical analysis method and a fuzzy comprehensive evaluation method according to the pump characteristic parameters;
a primary evaluation value acquisition unit for acquiring a primary evaluation value based on a hierarchical analysis method and a fuzzy comprehensive evaluation method according to a plurality of secondary evaluation values;
and the pump health state information generating unit is used for generating pump health state information according to the primary evaluation value.
Preferably, the primary evaluation value acquisition unit acquires a primary evaluation value based on a plurality of secondary evaluation values and a weight of each secondary evaluation value.
Preferably, the pump health status information generating unit is configured to generate the pump health status information according to a plurality of primary evaluation values and a weight of each of the primary evaluation values.
Preferably, the LCU local controller comprises:
the monitoring information acquisition module is used for acquiring the pump operation parameter monitoring information;
the monitoring information feedback module is used for feeding back the pump operation parameter monitoring information to the pump station control center;
and the pump control module is used for responding to the scheduling instruction and controlling the operation of each pump.
According to the technical scheme, the invention provides an intelligent water quantity scheduling system for a multi-stage pumping station, which has the beneficial effects that: the intelligent water quantity scheduling system of the multi-stage water pumping pump station, which comprises a scheduling control center, a plurality of pump station control centers and a plurality of LCU local controllers, is arranged, so that the intelligent water quantity scheduling and comprehensive scheduling of the multi-stage water pumping pump station are realized, the remote measurement, remote signaling, remote control, remote regulation and remote viewing of the operation of the multi-stage water pumping pump station are realized, the intelligent management of unattended operation and unattended operation is realized, and the long-term safe, stable, reliable and economic operation of a project is ensured. The water supply management system has the advantages of improving the overall engineering construction and operation and maintenance management level, improving the water regime and engineering operation monitoring and early warning capacity, improving the overall water supply scheduling capacity of the engineering, improving the water supply safety guarantee capacity, improving the engineering safety management capacity and improving the emergency handling and commanding capacity.
The intelligent water quantity scheduling system for the multi-stage pumping station realizes comprehensive and integral scheduling of the water quantity of the multi-stage pumping station, adopts a scientific scheduling model, comprehensively considers the water quantity balance of the whole process, and overcomes the problems that the traditional scheduling excessively depends on personal subjectivity, and the scheduling is unreasonable, so that the local water shortage or water abandonment is caused.
Drawings
Fig. 1 is a schematic diagram of an intelligent water quantity scheduling system of a multi-stage pumping station.
FIG. 2 is a block diagram of a dispatch control center
Fig. 3 is a block schematic diagram of a pump station control center.
FIG. 4 is a block schematic diagram of an LCU local controller.
In the figure: the system 10 for intelligently scheduling the water amount of a multi-stage pumping station, a scheduling control center 100, a water amount allocation management module 110, a scheduling task receiving unit 111, a cloud information acquiring unit 112, a current pump station operating situation acquiring unit 113, a scheduling instruction generating unit 114, a scheduling instruction output unit 115, a scheduling management module 120, a scheduling information storage unit 121, an engineering inspection and maintenance information handling unit 122, a local inspection information handling unit 123, an engineering emergency plan handling unit 124, a video monitoring module 130, a pump station control center 200, a pump health state acquiring module 210, a pump characteristic parameter acquiring unit 211, a secondary evaluation value acquiring unit 212, a primary evaluation value acquiring unit 213, a pump health state information generating unit 214, a valve opening information acquiring module 220, a current pump station operating situation generating module 230, a current pump station operating situation feedback module 240, an LCU local controller 300, a scheduling task receiving unit 111, a cloud information acquiring unit 112, a current pump, A monitoring information acquisition module 310, a monitoring information feedback module 320, a pump control module 330, and a local monitoring meter 400.
Detailed Description
The technical solutions and effects of the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings of the present invention.
Referring to fig. 1 and fig. 2, in an embodiment, an intelligent water quantity scheduling system 10 for a multi-stage pumping station is used for realizing intelligent and comprehensive water quantity scheduling of the multi-stage pumping station in a diversion project, and includes: the system comprises a dispatching control center 100, a plurality of pump station control centers 200 communicated with the dispatching control center 100, and a plurality of LCU local controllers 300 electrically connected with the pump station control centers 200.
The LCU site controller 300 is configured to acquire pump set operation parameters from the pumping station, and is further configured to allocate the operation of the pumping station equipment in response to instruction information sent by the pump station control center 200.
The pump station control center 200 is configured to receive the scheduling instruction of the scheduling control center 100, and allocate the scheduling instruction to the corresponding LCU local controller 300.
The dispatching control center 100 is used for forming dispatching instructions and distributing the dispatching instructions to the pump station control centers 200.
The dispatching control center 100 includes a water allocation management module 110, which is used for integrating the overall process water balance model, the flow-frequency relation model, the flow-opening relation model of each gate and the frontal environment influence of each pump station according to the dispatching tasks, obtaining the dispatching tasks of each pump station, each pump and each valve, generating dispatching instructions, and outputting the dispatching instructions. For example, the water volume allocation management module 110 includes: the scheduling task receiving unit 111, the cloud information acquiring unit 112, the pump station current operation status acquiring unit 113, the scheduling instruction generating unit 114, and the scheduling instruction outputting unit 115.
The scheduling task receiving unit 111 is configured to receive a scheduling task, that is, an engineer or a decision-maker draws up a scheduling task according to an actual situation, where the scheduling task at least includes water demand information of a certain area.
The cloud information obtaining unit 112 is configured to obtain environment factor information of a pump station area from a cloud end, that is, obtain environment factor information of an area where a pump station is located from an internet end (such as a water conservancy cloud), where the environment factor information includes, but is not limited to, environment factor information such as an average wind speed, an average temperature, and a predicted precipitation amount of the area where the pump station is located.
The pump station current operation status acquiring unit 113 is configured to acquire current operation status information of the pump station, including but not limited to current operation statuses of all pump stations, current operation frequencies and outlet flows of all pumps, and opening degrees of all gates.
The scheduling instruction generating unit 114 is configured to calculate and generate a scheduling instruction according to the scheduling task, the environmental factor information, and the pump station current operation status information. The scheduling instruction generating unit 114 synthesizes the overall-process water balance model, the flow-frequency relation model, and the flow-opening relation model of each gate, comprehensively considers the scheduling task, the environmental factor information, and the current operating situation information of the pump station, and calculates and generates a scheduling instruction, wherein the scheduling instruction at least includes the water quantity to be output by each pump station, the operating frequency range of each pump, the opening range of each gate, and the like.
The scheduling instruction output unit 115 is configured to distribute the scheduling instruction to each pump station control center 200, and each pump station control center 200 issues the scheduling instruction to each corresponding LCU local controller 300 according to each corresponding instruction task.
Preferably, the scheduling instruction generating unit 115 generates the scheduling instruction of the nth stage pump station according to the following model:
firstly, the output quantity Q of the Nth stage pump station is obtained by the following formulacN
QcN=QxN+Qx(N+1)-Qs(N+1)+Qb(N+1)
In the formula, QxNRepresenting the water demand of the Nth stage pump station; qx(N+1)Representing the water demand of the (N + 1) th stage pump station; qs(N+1)Representing the natural loss amount of water of the (N + 1) th-level pump station; qb(N+1)Representing the natural make-up of water in the (N + 1) th stage pump station.
The water demand of the nth stage pump station, i.e. the water demand in addition to the amount of water delivered to the (N + 1) th stage pump station, is usually determined according to the scheduling task or historical water demand. The water demand of the (N + 1) th stage pump station is the actual transportation quantity from the (N) th stage pump station to the (N + 1) th stage pump station, and is usually directly determined by a scheduling task. The natural loss of water of the (N + 1) th-level pump station comprises evaporation loss water and leakage loss water, and is determined by considering factors such as local air pressure, air temperature, air speed, geology and the like at the moment according to an empirical formula. The natural water supply amount of the (N + 1) th stage pump station mainly comprises precipitation supply and other waterway influx supply, and is usually determined according to the local precipitation amount and geological conditions.
Then, according to the output quantity Q of the Nth stage pump stationcNAnd synthesizing a flow-frequency relation model of each motor of the Nth-level pump station and a flow-opening relation model of each gate to obtain the scheduling information of the Nth-level pump station. Estimating the output quantity Q of each stage of pumping stationcNOn the basis, the operation state of the pump station is considered, such as whether to inspect and maintain and the like, a flow-frequency relation model of each motor of the Nth-level pump station and a flow-opening degree relation model of each gate are integrated, on the premise that the requirement of water supply is met, the operation parameters of each pump and each gate in the pump station are optimized, the operation efficiency of each pump of the pump station is improved, the energy consumption is reduced, and the water abandon is reduced.
And finally, generating and outputting a scheduling instruction according to the scheduling information.
The intelligent water quantity scheduling system of the multistage water pumping pump station, which comprises a scheduling control center 100, a plurality of pump station control centers 200 and a plurality of LCU local controllers 300, is arranged, so that the intelligent water quantity scheduling and comprehensive scheduling of the multistage water pumping pump station are realized, the remote measurement, remote signaling, remote control, remote regulation and remote viewing of the operation of the multistage water pumping pump station are realized, the intelligent management of unattended operation and unattended operation is realized, and the long-term safe, stable, reliable and economic operation of a project is ensured. The water supply management system has the advantages of improving the overall engineering construction and operation and maintenance management level, improving the water regime and engineering operation monitoring and early warning capacity, improving the overall water supply scheduling capacity of the engineering, improving the water supply safety guarantee capacity, improving the engineering safety management capacity and improving the emergency handling and commanding capacity.
The intelligent water quantity scheduling system 10 for the multi-stage pumping station realizes comprehensive and integral scheduling of the water quantity of the multi-stage pumping station, adopts a scientific scheduling model, comprehensively considers the water quantity balance in the whole process, and overcomes the problems that the traditional scheduling excessively depends on personal subjectivity, and the scheduling is unreasonable, so that the local water shortage or water abandonment is caused.
In another embodiment, the scheduling instruction generating unit 115 generates the scheduling instruction of the nth stage pump station according to the following model: the method comprises the steps of firstly obtaining the total monthly required water supply amount of each trunk line and each water diversion port, then obtaining the average water supply flow of each trunk line and each water diversion port according to a scheduling task and an irrigation model of crops in an irrigation area, and calculating the average daily water supply flow of each pump station according to a mass conservation law. And solving an optimized mathematical model under the constraints of a condition I, a condition II and a condition III by taking the minimum energy consumption of the pump station as a target to obtain the optimal operation unit combination and frequency conversion unit frequency. The first condition is a water pump performance curve and device characteristics, and the pipeline resistance parameters adopt an online real-time calibration method. And the second condition is the frequency modulation range of the frequency converter set, wherein the lower limit value of frequency modulation is calculated based on the real-time parameters and the characteristics of the water pump device. And the third condition is the condition that each pump station can use a water pump and a standby unit. And generating and outputting a scheduling instruction according to the optimal running unit combination and the frequency of the frequency conversion unit.
For example, a pump station is provided with N water pump units and a water level Z of a water inlet pool1Water level Z of water outlet pool2Then the pump device lift Hst=Z2-Z1The flow of the pump station is required to be Q0Respectively setting the number of the operating pump stations to be 1, 2, 3,.. and N, writing a nonlinear equation set according to the combination condition of the water pumps, the characteristics of the variable frequency pump and the characteristics of the pump device, solving by a Newton-Leufsen method, and if the solution exists and the frequency of the variable frequency pump is not less than the lower limit of the frequency modulation, obtaining the flow Q of the pump station0The frequency of the variable frequency pump and the combination of the water pump and the combination of the variable frequency pump can be finally obtained. The number of the running pump stations is not set to be 3, the 1# pump is a variable frequency pump, the 1# pump and the 2# pump run in parallel, the 3# pump is in parallel connection with the 4# pump, and then an equation set is as follows:
Figure BDA0003026947100000101
in the formula, Q1,Q2,Q3Pump flow rate of 1# to 3 #; s1,S2,S3Is a pump branch pipe resistance parameter of 1# to 3 #; s10Resistance parameters of parallel main pipes of 1# and 2# pumps; s20Is a resistance parameter of parallel main pipes of 3# and 4# pumpsCounting; a is0,a1,a2、b0,b1,b2、c0,c1,c2Respectively is a quadratic curve expression fitting coefficient of the relationship between the lift and the flow under the rated rotating speed of the 1# to 3# pump; k is the ratio of the rated rotating speed of the variable frequency pump to the operating rotating speed.
And respectively solving the total operating power of the i water pump unit combinations, wherein the water pump unit combination with the minimum total operating power is the optimal economic operating combination. If the number of the combined units of a certain unit is n, the objective function with the minimum total operating power can be expressed as follows:
Figure BDA0003026947100000102
in the formula, PinmThe input power of all running water pump set motors; etastjEfficiency is set for each pump unit.
In one embodiment, the dispatch control center 100 further includes a dispatch management module 120, and the dispatch management module 120 includes at least one of a dispatch information storage unit 121, an engineering inspection and maintenance information handling unit 122, a local inspection information handling unit 123, and an engineering emergency plan handling unit 124.
The scheduling information storage unit 121 is configured to store historical scheduling instruction information, and support viewing, managing, and performing data processing on the historical scheduling information. The engineering maintenance information processing unit 122 is configured to receive engineering maintenance information, and generate a maintenance scheduling instruction according to the engineering maintenance information. The local patrol information handling unit 123 is configured to receive and store the local patrol information, and support viewing, managing, and data processing of the historical scheduling information. The engineering emergency plan disposal unit 124 is used for storing engineering emergency plans, responding to operation of engineering personnel, and distributing the engineering emergency plans to the control centers of the pump stations. The scheduling management module 120 provides a daily integrated management system, and realizes integrated management and control and centralized management and control of the whole scheduling system.
In another embodiment, the dispatch control center 100 further includes a video monitoring module 130, and the video monitoring module 130 is configured to obtain monitoring video information of an area where each pump station control center 200 is located and an area where each LCU local controller 300 is located.
For example, the region where the LCU local controller 300 is located is provided with a plurality of video monitoring devices with image sensing function, which are used for monitoring the operation conditions of pumps, gates and other key equipment of a pump station. And a plurality of video monitoring devices with image sensing functions are arranged in a room or an indoor room where the pump station control center 200 is located and used for monitoring the working states of personnel and equipment of the pump station control center 200. Video images acquired by all the video monitoring devices are transmitted to the dispatching control center 100 through the SDH optical fiber communication network, and the dispatching control center 100 carries out overall monitoring. The video monitoring device in the area where the LCU local controller 300 is located is also uploaded to the pump station control center 200 through a local area network, a wireless network, etc., so as to obtain the operation state image of the current equipment of the pump station at the pump station control center 200.
Referring to fig. 3, in a preferred embodiment, the pump station control center 200 includes a pump health status obtaining module 210, a valve opening information obtaining module 220, a pump station current operating status generating module 230, and a pump station current operating status feedback module 240.
The pump health state acquisition module 210 is configured to acquire pump health state information to determine whether the pump is in an optimal, good, poor, or running state requiring shutdown maintenance according to the pump health state information, and then finally find an optimal operating frequency of the pump, thereby prolonging an actual running life of the pump. The valve opening information obtaining module 220 is configured to obtain valve opening information. And (4) according to the valve opening information, integrating the running state of the pump, and combining the frequency-flow curve of the pump and the flow-opening curve of the gate to judge the optimal working state of the pump and the gate. The pump station operation status generation module 230 is configured to generate pump station operation status information according to the pump health status information and the valve opening information, and the pump station operation status feedback module 240 is configured to feed back the pump station operation status information to the dispatch control center 100.
Further, the pump health state acquisition module 210 includes a pump characteristic parameter acquisition unit 211, a secondary evaluation value acquisition unit 212, a primary evaluation value acquisition unit 213, and a pump health state information generation unit 214.
The pump characteristic parameter obtaining unit 211 is configured to obtain pump characteristic parameters, including but not limited to a bearing vibration parameter, a bearing temperature parameter, an oil cylinder temperature parameter, an operation load parameter, an operation time parameter, and maintenance history information. The secondary evaluation value acquisition unit 212 is configured to acquire a secondary evaluation value based on a hierarchical analysis method and a fuzzy comprehensive evaluation method according to the pump characteristic parameters. The primary evaluation value acquisition unit 213 is configured to acquire a primary evaluation value based on a hierarchical analysis method and a fuzzy comprehensive evaluation method according to a plurality of secondary evaluation values. The pump health status information generating unit 214 is configured to generate pump health status information according to the primary evaluation value.
Further, the primary evaluation value acquisition unit 213 acquires a primary evaluation value from a plurality of secondary evaluation values and a weight of each secondary evaluation value. The pump health status information generating unit 214 is configured to generate pump health status information according to the primary evaluation values and the weight of each of the primary evaluation values.
In this embodiment, specifically, the following process is included:
n primary evaluation factors are determined. According to the actual evaluation requirements, a plurality of first-level evaluation factors which directly influence the health state of the pump are selected. For example, six items of a pump vibration factor, an electrical factor, a temperature factor, a point inspection factor, an operation evaluation factor and an efficiency evaluation factor are selected as first-level evaluation factors.
And acquiring M secondary evaluation factors for each primary evaluation factor according to the primary evaluation factors. That is, in order to quantitatively evaluate the primary evaluation factors, the parameters of each primary evaluation factor need to be reasonably characterized, and characterization parameters directly related to each primary evaluation factor are obtained to serve as secondary evaluation factors. For example, when the primary evaluation factor is a pump vibration factor, the corresponding secondary evaluation factor may be selected from X, Y, Z-directional vibration data of the thrust bearing, X, Y-directional vibration data of the lower guide bearing, X, Y-directional vibration data of the water guide bearing, and vibration data of the impeller housing. For example, when the first-level evaluation factor is an electrical factor, the corresponding second-level evaluation factor can be selected from phase imbalance data, rotor bar breakage data and turn-to-turn short circuit data.
Calculating a secondary weight coefficient W of each secondary evaluation factor in the corresponding primary evaluation factor2iWherein i is more than or equal to 1 and less than or equal to M. The specific gravity of each secondary evaluation factor in the primary evaluation factors may be different, which represents that the influence of each secondary evaluation factor on the primary evaluation factors is different, and according to the influence, different secondary weight coefficients W are given to each secondary evaluation factor2i
In one embodiment, the secondary weight coefficient W is calculated according to the influence level relation of the primary evaluation factors of the secondary evaluation factors2iThe weights of the secondary evaluation factors are comprehensively judged according to the influence level relation, and different weight coefficients are given to the secondary evaluation factors.
Preferably, the secondary weight factor W is calculated by chromatography with autoregulation2i. Specifically, the importance degree C of each evaluation factor and other evaluation factors in the secondary evaluation factors is obtained firstij. For example, assume that a certain primary evaluation factor has n secondary evaluation factors, respectively labeled as U1,U2,...,UnIs provided with CijIs UiRelative to UjThe importance degree of the evaluation indexes is judged according to a 1-9 scale method. Specifically, for example, UiRelative to UjEqually important, it is marked 1; u shapeiRelative to UjSlightly important, labeled 3; u shapeiRelative to UjClearly important, it is marked 5; u shapeiRelative to UjOf particular importance, then labeled 7; u shapeiRelative to UjAbsolutely important, marked as 9; the two are marked as 2, 4, 6 and 8. According to the degree of importance CijDetermining a secondary weight coefficient W of each secondary evaluation factor2i
Calculating a primary weight coefficient W of each primary evaluation factor in the index to be evaluated1jWherein j is more than or equal to 1 and less than or equal to N.
The specific gravity of each first-level evaluation factor in the index to be evaluated may be different, which means that the influence of each first-level evaluation factor on the index to be evaluated is different, and according to the influence, different first-level weight coefficients W are given to each first-level evaluation factor1j. First order weight coefficient W1jIs referred to the secondary weight coefficient W2iThe determination process of (2) is not described herein in detail.
And acquiring evaluation values of all secondary evaluation factors. Namely, the secondary evaluation factor is quantized, so that the method is computable.
First, an evaluation level criterion is determined, for example, the evaluation level of the pump operation state is divided into four levels, good, available, checked, shut down, and the distribution range of each level is confirmed, if good, 80<U is less than or equal to 100; if available, then 60<U is less than or equal to 80; if it is to be checked, 40<U is less than or equal to 60; if the machine needs to be stopped, U is less than or equal to 40. Wherein, for example, the sign S1=80,S2=60,S3=40。
And for the secondary evaluation factor which cannot be quantified by the detection data, an expert evaluation method can be adopted to directly assign the secondary evaluation factor. For the secondary evaluation factor that can be quantified by the detection data, the evaluation value of the secondary evaluation factor is calculated by formula (i).
Wherein x represents the actual value of the secondary evaluation factor, S1、S2、S3Respectively representing grade evaluation standard values, wherein i, k and l are constants and are selected according to specific parameters.
Figure BDA0003026947100000151
It should be noted that the calculation is performed according to the above formula when the data corresponding to each criterion is smaller and more optimal, and similarly, the function is reversed when the four-level criterion corresponding to the evaluation factor is larger and more optimal.
Thus, all the secondary evaluation factors corresponding to each primary evaluation factor form a matrix yiThe matrix yiThe number of evaluation levels is used as column number, and the number of two-level evaluation factors is used as row number.
Evaluation value according to secondary evaluation factor and secondary weight coefficient W2iCalculating an evaluation coefficient matrix R of the first-order evaluation factor1j. That is, the evaluation coefficient matrix R of the first-order evaluation factor is calculated by the formula (II)1j
R1j=W2i×yi
Calculator (II)
Evaluation coefficient matrix R for first-level evaluation factor1jAnd carrying out normalization processing to obtain an evaluation coefficient matrix R of the index to be evaluated of the pump.
Through the steps, the evaluation coefficient matrix R of N primary evaluation factors can be correspondingly obtained1jThat is, the number of the evaluation grades corresponding to each primary evaluation factor is the column number, and the number of the secondary evaluation factors is the row number to form a matrix.
Evaluation coefficient matrix R for N primary evaluation factors1jPerforming a normalization process, e.g. by calculating formula (III), on the evaluation coefficient matrix R of the first-order evaluation factors1jAnd (6) carrying out normalization processing.
Figure BDA0003026947100000152
Namely an evaluation coefficient matrix R for N first-level evaluation factors1jAfter normalization processing is carried out by taking the columns as a reference, each one-level rating factor is endowed with an evaluation value, and finally a matrix R with the number of the evaluation levels as the column number and the number of the one-level evaluation factors as the row number is obtained.
According to the machine pump to-be-evaluated index evaluation coefficient matrix R and the primary weight coefficient W1jAnd calculating a membership matrix R' of the first-level evaluation factor. Namely, calculating a membership matrix R' of the first-order evaluation factor by calculating the formula (IV).
R’=R×W1j
Calculator (IV)
And evaluating the health state of the pump station according to the membership matrix R' of the primary evaluation factor. The membership matrix R' of the first-level evaluation factors finally shows the evaluation states of a plurality of first-level evaluation factors. In the present embodiment, for example, if the evaluation states of all the primary evaluation factors are indicated as usable or good, the machine pump is evaluated as usable; if more than three items need to be inspected or more than one item needs to be shut down, the inspection needs to be enhanced or the maintenance needs to be shut down.
Referring to fig. 4, in one embodiment, the LCU local controller 300 includes a monitoring information acquisition module 310, a monitoring information feedback module 320, and a pump control module 330. The monitoring information acquisition module 310 is configured to acquire pump operation parameter monitoring information, the monitoring information feedback module 320 is configured to feed back the pump operation parameter monitoring information to the pump station control center, and the pump control module 330 is configured to respond to a scheduling instruction and control operation of each pump.
Further, the intelligent water quantity scheduling system 10 of the multi-stage lift pump station further includes a local monitoring instrument 400 which is arranged on each pump and pipeline in the pump station, and includes but is not limited to a pump inlet pipe pressure sensor, a pump outlet flow sensor, a pump vibration sensor, a pump temperature sensor, a gate transmitter and a water level sensor along the line.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.

Claims (10)

1. The utility model provides a multistage pumping station water yield intelligent scheduling system which characterized in that includes: the system comprises a dispatching control center, a plurality of pump station control centers communicated with the dispatching control center and a plurality of LCU local controllers electrically connected with the pump station control centers;
the LCU local controller is used for acquiring pump set operation parameters from the pumping station and responding to instruction information sent by the pump station control center to allocate equipment of the pumping station to work;
the pump station control center is used for receiving the dispatching instruction of the dispatching control center and distributing the dispatching instruction to the corresponding LCU local controller;
the dispatching control center is used for forming dispatching instructions and distributing the dispatching instructions to the pump station control centers;
the dispatching control center comprises a water quantity allocation management module, and the water quantity allocation management module comprises:
the scheduling task receiving unit is used for receiving the scheduling task;
the cloud information acquisition unit is used for acquiring environmental factor information of the pump station area from the cloud end;
the pump station current operation situation acquisition unit is used for acquiring current operation situation information of the pump station;
the scheduling instruction generating unit is used for calculating and generating a scheduling instruction according to the scheduling task, the environmental factor information and the pump station operation current situation information; and
and the scheduling instruction output unit is used for distributing the scheduling instruction to each pump station control center.
2. The intelligent water yield scheduling system of a multi-stage pumping station according to claim 1, wherein the scheduling instruction generating unit generates the scheduling instruction of the nth stage pumping station according to the following model:
obtaining the output quantity Q of the Nth stage pump station by the following formulacN
QcN=QxN+Qx(N+1)-Qs(N+1)+Qb(N+1)
In the formula, QxNRepresenting the water demand of the Nth stage pump station; qx(N+1)Representing the water demand of the (N + 1) th stage pump station; qs(N+1)Representing the natural loss amount of water of the (N + 1) th-level pump station; qb(N+1)Representing the natural water replenishing quantity of the (N + 1) th stage pump station;
according to the output quantity Q of the Nth stage pump stationcNSynthesizing the flow-frequency relation model of each motor of the Nth-level pump station and the flow-opening relation model of each gate,acquiring scheduling information of an Nth-level pump station;
and generating and outputting a scheduling instruction according to the scheduling information.
3. The intelligent water yield scheduling system of a multi-stage pumping station according to claim 1, wherein the scheduling instruction generating unit generates the scheduling instruction of the nth stage pumping station according to the following model:
acquiring the average water supply flow of each trunk line and each water diversion port based on a scheduling task and a crop irrigation model of an irrigation area;
calculating the daily average water supply flow of each pump station according to a mass conservation law;
with the minimum energy consumption of the pump station as a target, solving an optimized mathematical model under the constraints of a condition I, a condition II and a condition III to obtain the optimal operation unit combination and frequency conversion unit frequency;
the first condition is a water pump performance curve and device characteristics; the second condition is the frequency modulation range of the frequency conversion unit; the third condition is that each pump station can use a water pump and a standby unit;
and generating and outputting a scheduling instruction according to the optimal running unit combination and the frequency of the frequency conversion unit.
4. The intelligent water yield scheduling system of a multi-stage pumping station according to claim 1, wherein the scheduling control center further comprises a scheduling management module, and the scheduling management module comprises:
the scheduling information storage unit is used for storing historical scheduling instruction information; and/or
The engineering inspection and maintenance information processing unit is used for receiving the engineering inspection and maintenance information and generating an inspection and maintenance scheduling instruction according to the engineering inspection and maintenance information; and/or
The local patrol inspection information processing unit is used for receiving and storing the local patrol inspection information; and/or
And the engineering emergency plan disposal unit is used for storing the engineering emergency plans, responding to the operation of engineering personnel and distributing the engineering emergency plans to the control centers of the pump stations.
5. The intelligent water yield scheduling system of the multi-stage pumping station according to claim 1, wherein the scheduling control center further comprises a video monitoring module, and the video monitoring module is used for acquiring monitoring video information of an area where each pump station control center is located and an area where each LCU local controller is located.
6. The intelligent water yield scheduling system of a multi-stage pumping station according to claim 1, wherein the pump station control center comprises:
the pump health state acquisition module is used for acquiring pump health state information;
the valve opening information acquisition module is used for acquiring valve opening information;
the pump station operation current situation generating module is used for generating pump station operation current situation information according to the pump health state information and the valve opening information;
and the pump station operation current situation feedback module is used for feeding back the pump station operation current situation information to the dispatching control center.
7. The intelligent water yield scheduling system of a multi-stage pumping station according to claim 6, wherein the pump health status obtaining module comprises:
the pump characteristic parameter acquisition unit is used for acquiring pump characteristic parameters;
a secondary evaluation value acquisition unit for acquiring a secondary evaluation value based on a hierarchical analysis method and a fuzzy comprehensive evaluation method according to the pump characteristic parameters;
a primary evaluation value acquisition unit for acquiring a primary evaluation value based on a hierarchical analysis method and a fuzzy comprehensive evaluation method according to a plurality of secondary evaluation values;
and the pump health state information generating unit is used for generating pump health state information according to the primary evaluation value.
8. The intelligent water dispatching system of the multi-stage pumping station according to claim 7, wherein the primary evaluation value obtaining unit obtains the primary evaluation value according to a plurality of secondary evaluation values and the weight of each secondary evaluation value.
9. The intelligent water pumping station water yield scheduling system of claim 8, wherein the machine pump health status information generating unit is configured to generate the machine pump health status information according to a plurality of primary evaluation values and a weight of each primary evaluation value.
10. The intelligent multi-stage pumping station water volume scheduling system of claim 1, wherein the LCU in-situ controller comprises:
the monitoring information acquisition module is used for acquiring the pump operation parameter monitoring information;
the monitoring information feedback module is used for feeding back the pump operation parameter monitoring information to the pump station control center;
and the pump control module is used for responding to the scheduling instruction and controlling the operation of each pump.
CN202110418528.0A 2021-04-19 2021-04-19 Intelligent water quantity scheduling system for multi-stage pumping station Active CN113123959B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110418528.0A CN113123959B (en) 2021-04-19 2021-04-19 Intelligent water quantity scheduling system for multi-stage pumping station

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110418528.0A CN113123959B (en) 2021-04-19 2021-04-19 Intelligent water quantity scheduling system for multi-stage pumping station

Publications (2)

Publication Number Publication Date
CN113123959A true CN113123959A (en) 2021-07-16
CN113123959B CN113123959B (en) 2021-12-14

Family

ID=76777680

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110418528.0A Active CN113123959B (en) 2021-04-19 2021-04-19 Intelligent water quantity scheduling system for multi-stage pumping station

Country Status (1)

Country Link
CN (1) CN113123959B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114320866A (en) * 2022-03-08 2022-04-12 湖南易净环保科技有限公司 Centralized management control system for distributed integrated pump station
CN116892503A (en) * 2023-07-26 2023-10-17 深圳市科荣软件股份有限公司 Intelligent operation management control system of large-scale step pump station
CN116892503B (en) * 2023-07-26 2024-07-02 深圳市科荣软件股份有限公司 Intelligent operation management control system of large-scale step pump station

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN204086963U (en) * 2014-09-03 2015-01-07 哈尔滨新世通电器有限公司 A kind of pump works economical operation supervisory system
JP2016194287A (en) * 2015-04-01 2016-11-17 株式会社荏原製作所 Drainage pump machine field, pump administrative method, and pump administrative system
CN107679717A (en) * 2017-09-15 2018-02-09 西安博兴自动化科技有限公司 A kind of management system based on water amount information collection and Group of Pumping Station Optimized Operation
CN108646686A (en) * 2018-05-30 2018-10-12 安徽建筑大学 Pumping plant cluster fortune pipe monitoring based on Internet of Things cloud platform dispatches system with wisdom
CN112558562A (en) * 2020-11-27 2021-03-26 讯飞智元信息科技有限公司 Pump station management system
CN112597667A (en) * 2021-01-08 2021-04-02 中国水利水电科学研究院 Optimized scheduling method for cascade pump station system water transfer engineering pump station

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN204086963U (en) * 2014-09-03 2015-01-07 哈尔滨新世通电器有限公司 A kind of pump works economical operation supervisory system
JP2016194287A (en) * 2015-04-01 2016-11-17 株式会社荏原製作所 Drainage pump machine field, pump administrative method, and pump administrative system
CN107679717A (en) * 2017-09-15 2018-02-09 西安博兴自动化科技有限公司 A kind of management system based on water amount information collection and Group of Pumping Station Optimized Operation
CN108646686A (en) * 2018-05-30 2018-10-12 安徽建筑大学 Pumping plant cluster fortune pipe monitoring based on Internet of Things cloud platform dispatches system with wisdom
CN112558562A (en) * 2020-11-27 2021-03-26 讯飞智元信息科技有限公司 Pump station management system
CN112597667A (en) * 2021-01-08 2021-04-02 中国水利水电科学研究院 Optimized scheduling method for cascade pump station system water transfer engineering pump station

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
宋为威等: "泵站优化运行研究及展望", 《黄河水利职业技术学院学报》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114320866A (en) * 2022-03-08 2022-04-12 湖南易净环保科技有限公司 Centralized management control system for distributed integrated pump station
CN116892503A (en) * 2023-07-26 2023-10-17 深圳市科荣软件股份有限公司 Intelligent operation management control system of large-scale step pump station
CN116892503B (en) * 2023-07-26 2024-07-02 深圳市科荣软件股份有限公司 Intelligent operation management control system of large-scale step pump station

Also Published As

Publication number Publication date
CN113123959B (en) 2021-12-14

Similar Documents

Publication Publication Date Title
CN111256294B (en) Model prediction-based optimization control method for combined operation of water chilling unit
CN110991687B (en) Water resource scheduling optimization method based on empirical model
CN102486261B (en) Comprehensive evaluation method of gas pipeline scheduling scheme
CN102930480B (en) System and method for comprehensive energy efficiency evaluation of hydraulic power plant
CN101187813A (en) Integrative data source based automatic optimization scheduling system and method for steel, iron and energy source
CN106600094A (en) Pipeline water quality risk evaluation method based on water supply network dynamic model
CN103277291A (en) Optimal scheduling method for single-stage pump station
CN109028446A (en) A kind of refrigerating plant room control method based on equipment overall performance model
CN109284873A (en) A kind of wisdom drainage pumping plant carrying out pump group Optimized Operation and early warning disposition based on SWMM model
CN106127359A (en) A kind of variable frequency pump rate of discharge method for early warning based on local weighted linear regression model (LRM)
CN111005346A (en) Reservoir group multi-objective action mechanism and optimization scheduling scheme analysis method
CN205942426U (en) Sewage pipe network pump station sewage dispatch system
CN109917656B (en) Circulating cooling water minimum pressure difference energy-saving control system and method based on process medium multi-temperature target
CN113123959B (en) Intelligent water quantity scheduling system for multi-stage pumping station
CN110821456A (en) Simplified method for calculating reasonable energy consumption of oilfield flooding system
CN109214709B (en) Method for optimizing distribution of oxygen generation system of iron and steel enterprise
CN205485536U (en) Running water thing networking management system based on internet
Vosloo A new minimum cost model for water reticulation systems on deep mines
CN111626603B (en) Oil field ordered electricity utilization system with genetic algorithm and ordered electricity utilization distribution method thereof
CN112711229B (en) Intelligent optimization energy-saving system based on multi-correlation factor energy consumption prediction
CN103984999A (en) Energy integrated optimization method for industrial circulating cooling water
CN106447091A (en) Regional meteorological condition similarity-based large power network load prediction method
Sagynganova et al. Comprehensive methods to obtain and process information flows in centralized heat supply systems
CN111639796B (en) Ordered oil field electricity utilization system with topological structure and ordered electricity utilization distribution method thereof
CN115877793A (en) Energy management and control system for oil field and energy consumption management and control method for oil field

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant