Plant station network integrated scheduling method and system

Abstract

The invention relates to the technical field of drainage scheduling, and provides a plant-station-network integrated scheduling method and system, and the method comprises the steps: judging whether a cross-regional scheduling condition is met or not based on a scheduling scene, carrying out the quick-drainage-to-drainage scheduling and / or plugging and slow-drainage scheduling if the cross-regional scheduling condition is met, and carrying out the plugging and slow-drainage scheduling if the cross-regional scheduling condition is not met; when plugging slow drainage scheduling is carried out, the displacement of each pump station on the upstream of the plugging pump station in the shutdown time period is calculated based on the displacement of the drainage user in the shutdown time period and in combination with the residual regulation and storage space of the upstream facility; when quick drainage transfer scheduling is carried out, the displacement of each pump station at the downstream of the transfer pump station in the outage time period is calculated based on the displacement of the drainage user in the outage time period and in combination with the residual regulation and storage space and the bearing capacity of the downstream facility; according to the scheduling time period and the displacement of each pump station, with the minimum power of the pump station as the target, optimizing to obtain the time and power sequence of the pump set; and converting the time and power sequence curve into a scheduling instruction to form a scheduling scheme. And the accuracy of the scheduling scheme is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of drainage dispatching, and in particular relates to a plant-station-network integrated dispatching method and system. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] As cities continue to expand and population density increases dramatically, the operating pressure of drainage facilities such as sewage treatment plants, pumping stations and drainage networks is increasing. Environmental pollution problems caused by unscientific operation and scheduling of drainage facilities and untimely drainage scheduling are frequent. At the same time, operational management problems such as equipment aging and power loss caused by frequent start and stop of dispatching pumps are becoming increasingly prominent.

[0004] The current technical solution mainly sets the operating parameters of the pump station according to the water level in the pump pool to control the start and stop of each pump. The control strategy is simple, with poor flexibility, and does not have the ability to coordinate and link drainage facilities and drainage systems.

[0005] Alternatively, remote control is used to remotely dispatch the system based on the water level operation data of the current pumping station and pipeline network combined with experience judgment and manual intervention, which has low work efficiency and poor reliability.

[0006] Alternatively, the relevant scheduling strategies are formulated to assist the scheduling of drainage facilities based on the results of simulation analysis of the operation of the facilities based on the drainage network mechanism model. However, the drainage network mechanism model has a strong timeliness and a very narrow scope of application. In actual use, it is mainly used for laboratory theoretical calculations and designs. In actual use, it needs to be tuned on time to ensure effectiveness. The status of urban drainage facilities is constantly changing, and the actual status is quite different from the theory, so the effectiveness of the simulation results cannot be guaranteed through continuous tuning. Summary of the invention

[0007] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a plant-station-network integrated scheduling method and system. According to the selected scheduling scenario, different scheduling methods are proposed, and the real-time monitoring data of the drainage facilities is used as the input condition to obtain the drainage volume of each pumping station. At the same time, the minimum pumping station power is taken as the goal in the scheduling process, thereby ensuring the accuracy of the scheduling plan.

[0008] In order to achieve the above object, the present invention adopts the following technical solution:

[0009] A first aspect of the present invention provides a plant-station-network integrated scheduling method, which includes:

[0010] Obtain the drainage volume and dispatching scenarios of drainage households in historical time periods; predict the drainage volume of drainage households during shutdown periods based on the drainage volume of drainage households in historical time periods; determine whether cross-regional dispatching conditions are met based on dispatching scenarios, and if so, perform fast-drainage transfer dispatching and / or blocking and slow-drainage dispatching; if not, perform blocking and slow-drainage dispatching;

[0011] When blocking and slowing down the discharge, the discharge volume of each pumping station upstream of the blocked pumping station during the outage period is calculated based on the discharge volume of the drainage user during the outage period and the remaining storage space of the upstream facilities;

[0012] When fast-discharge transfer scheduling is carried out, the discharge volume of each pumping station downstream of the transfer pumping station during the outage period is calculated based on the discharge volume of the drainage user during the outage period, combined with the remaining storage space and carrying capacity of the downstream facilities;

[0013] According to the scheduling time period and the discharge volume of each pumping station, the pump group output algorithm is used to optimize the time and power sequence of the pump group with the goal of minimizing the pump station power; the time and power sequence curve is converted into a scheduling instruction to form a scheduling plan.

[0014] Furthermore, when blocking and slowing down the flow, it is assumed that the remaining storage space of the upstream pipeline network connected to the i-th pumping station is The remaining storage space of the i-th pump station is The average drainage flow of drainage households is Then the non-overflow time of the i-th pump station without drainage is Take the overflow time of the first pump station and the connected pipe network as t1, and take the minimum value of the overflow time of all pump stations connected to the pipe network except the first pump station as t2 = min{t i -1}; When t1≤t2, take t limit = t1 is the overflow risk time limit of the upstream pump station group; when t1>t2, take t limit =average{t i} is the overflow risk time limit of the upstream pump station group; the shutdown time t 停运 Need to be less than the overflow risk time limit t limit .

[0015] Furthermore, when blocking and slowing down the drainage, it is assumed that the drainage volume of the drainage household during the shutdown period is Discharge volume of each pumping station satisfy: represents the maximum discharge of the ith pump station, Represents the minimum discharge capacity of the i-th pumping station.

[0016] Furthermore, when fast-discharge transfer scheduling is performed, it is assumed that the remaining treatment capacity of the sewage plant is V污水厂 , the remaining storage space of the upstream pipe network connected to the i-th pump station is The maximum designed water delivery capacity of the pipe network is The remaining storage space of the i-th pump station is The maximum design displacement of the pump station is The drainage volume of the drainage user during the shutdown period is Discharge volume of each pumping station satisfy:

[0017]

[0018] Furthermore, when fast drainage diversion scheduling is carried out, the drainage volume of the upstream drainage household predicted during the outage period is taken as the target, and the carrying capacity of the drainage facilities on the diversion path is used as the basis to calculate the diversion target water volume. When the diversion target water volume is less than the drainage volume of the upstream drainage household, the outage period is shortened.

[0019] Furthermore, the constraints of the pump group output algorithm are:

[0020]

[0021] Where n is the number of pumps in the pump station, and the flow rate of a single pump in the pump station is Q i , the pump running time is t i The maximum running time of the pump is The pump head is H i , the data range of the pump head is H i-安全低 ≤H i ≤H i-安全高 .

[0022] Furthermore, the drainage volume V of a drainage household in a certain historical period 户 =V2-V1+Q2-Q1, where the outflow of water from the upstream pumping station during the historical period is Q1, the inflow of water from the upstream pumping station is Q2, the water volume in the initial time period in the pipeline network and the pumping station is V1, and the water volume after the historical period is V2.

[0023] A second aspect of the present invention provides a plant-station-network integrated dispatching system, comprising:

[0024] The data acquisition module is configured to: obtain the drainage volume and dispatching scenarios of the drainage households in historical time periods; predict the drainage volume of the drainage households in the shutdown period based on the drainage volume of the drainage households in historical time periods; determine whether the cross-region dispatching conditions are met based on the dispatching scenarios, and if so, perform fast-drainage transfer dispatching and / or blocking and slow-drainage dispatching; if not, perform blocking and slow-drainage dispatching;

[0025] The plugging and slow-discharge scheduling module is configured to: when performing plugging and slow-discharge scheduling, based on the drainage volume of the drainage user during the shutdown period, combined with the remaining storage space of the upstream facilities, calculate the drainage volume of each pumping station upstream of the plugging pumping station during the shutdown period;

[0026] The fast-discharge transfer scheduling module is configured to: when performing fast-discharge transfer scheduling, based on the discharge volume of the drainage user during the outage period, combined with the remaining storage space and carrying capacity of the downstream facilities, calculate the discharge volume of each pumping station downstream of the transfer pumping station during the outage period;

[0027] The optimization scheduling module is configured as follows: according to the scheduling time period and the discharge volume of each pump station, the pump group output algorithm is used to optimize the time and power sequence of the pump group with the goal of minimizing the pump station power; the time and power sequence curve is converted into a scheduling instruction to form a scheduling plan.

[0028] A third aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the plant-station-network integrated scheduling method as described above.

[0029] The fourth aspect of the present invention provides a computer device, including a computer-readable storage medium, a processor, and a computer program stored on the computer-readable storage medium and executable on the processor, wherein when the processor executes the program, the steps in the integrated scheduling method for a plant, station and network as described above are implemented.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention proposes different scheduling methods according to the selected scheduling scenarios, and uses the real-time monitoring data of the drainage facilities as input conditions to obtain the drainage volume of each pumping station. At the same time, the minimum pumping station power is set as the goal during the scheduling process, thereby ensuring the accuracy of the scheduling plan.

[0032] The present invention automatically generates a scheduling plan based on the selected scheduling scenario, with sewage treatment plants, pumping stations and pipeline networks as elements, and utilizes the integrated scheduling algorithm of the plant, station and network to achieve joint adjustment and control between drainage facilities and drainage systems, thereby improving work efficiency. At the same time, it automatically optimizes and adjusts strategies according to monitoring data during the scheduling process to ensure the flexibility and reliability of scheduling.

[0033] The present invention utilizes mathematical analysis methods to establish mathematical models based on different drainage scheduling and drainage scenarios, and uses real-time monitoring data of drainage facilities as input conditions to solve the mathematical models under various scenarios to solve practical problems, thereby ensuring the validity of the scheduling basic data and the accuracy of the scheduling plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0035] Figure 1 This is a flow chart of a plant-station-network integrated scheduling method according to a first embodiment of the present invention;

[0036] Figure 2 This is a module diagram that a plant-station-network integrated scheduling method according to the first embodiment of the present invention relies on;

[0037] Figure 3 is an algorithm association diagram of the first embodiment of the present invention;

[0038] Figure 4 is a specific calculation flow chart of the blocking and slow drainage algorithm of the first embodiment of the present invention;

[0039] Figure 5 is a schematic diagram of a connecting pipe network according to a first embodiment of the present invention;

[0040] Figure 6 Schematic diagram of remaining storage space calculation in Embodiment 1 of the present invention;

[0041] Figure 7 This is a schematic diagram of calculating the drainage volume of a drainage household according to the first embodiment of the present invention;

[0042] Figure 8 is a specific calculation flow chart of the quick sorting algorithm of the first embodiment of the present invention;

[0043] Fig. 9 It is a structural diagram of a computer device according to a fourth embodiment of the present invention. DETAILED DESCRIPTION

[0044] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0045] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0046] Embodiment 1

[0047] This embodiment provides a plant-station-network integrated scheduling method.

[0048] The present embodiment provides a method for integrated dispatching of a plant, a station and a network, which uses a mathematical analysis method to establish an integrated dispatching algorithm for a plant, a station and a network, and serves the daily temporary dispatching of drainage facilities, the dispatching of major renovation projects, and the emergency dispatching of sudden events, thereby realizing the transformation from manual extensive dispatching under an empirical model to intelligent fine dispatching under a digital model, improving the scientificity and convenience of drainage dispatching management decisions, ensuring stable water inflow to sewage treatment plants, efficient and energy-saving operation of pumping stations, and safe and smooth operation of pipe networks, thereby improving the overall operating efficiency of the drainage system.

[0049] This embodiment provides a plant-station-network integrated scheduling method, which uses a mathematical algorithm to calculate the scheduling strategies of each pump station and sewage treatment plant on the associated drainage path while calculating the blocking and cross-regional water transfer plans for sewage treatment plants and pump stations while ensuring that the pipeline network, pump stations, and sewage treatment plants do not overflow.

[0050] This embodiment provides a plant-station-network integrated scheduling method, which divides the scheduling algorithm models into two categories based on the analysis of drainage scheduling scenarios. One is a blocking and slow-drainage model, which relies on the regulation and storage capacity of the upstream pipeline network and pump station to calculate the shock-resistant strategy of each drainage facility on the upstream drainage path and the scheduling strategy of the pump station. It can be applied to scenarios such as plant shutdown and maintenance, pipeline network emergency repair, and pump station overflow. The other is a fast-drainage and diversion model, which calculates the shock-resistant strategy of each drainage facility on the downstream and diversion paths to schedule the pump station. It can be applied to scenarios such as pre-drainage before rain, fast drainage during rain, and cross-regional scheduling when the sewage treatment plant is overloaded.

[0051] At the same time, sewage treatment plants, pumping stations, and pipe networks are used as analysis and management elements. By gathering static asset data and dynamic operation monitoring data of sewage treatment plants, pumping stations, and pipe networks, three scheduling support algorithm modules, namely, storage space algorithm, drainage prediction algorithm, and pump group output algorithm, are established. Among them, the storage space algorithm is used to calculate the remaining storage space of the plant network based on the volume of the facility and the real-time monitored liquid level data; the drainage prediction algorithm is used to calculate the drainage volume of each drainage path upstream in the future time period in combination with the pump station inlet flow, outlet flow, sewage treatment plant inlet flow, and the remaining storage space of the facility; the pump station output algorithm is used to calculate the time and power sequence of the pump station in combination with the pump power parameters of the pump station and the drainage data of the pump station.

[0052] When blocking and slow-discharge scheduling is carried out, the discharge volume of each pump station upstream of the drainage path within the scheduling period is calculated based on the remaining storage space and drainage volume of the upstream facilities; when fast-discharge and diversion scheduling is carried out, the discharge volume of each pump station within the downstream pipe network, pump station, and sewage treatment plant within the scheduling period is calculated based on the remaining storage space of the downstream facilities, the drainage volume of the downstream drainage path, and the diversion volume of the upstream drainage path. Based on the scheduling scenario requirements, blocking and slow-discharge and fast-discharge and diversion scheduling can also be carried out at the same time.

[0053] Then, according to the scheduling time period and the discharge volume of each pumping station, the pump group output algorithm is used to calculate the time and power sequence (curve) of the optimal efficiency of each pumping station under the premise of meeting the total output flow and the maximum operating time of the pump group.

[0054] Finally, the pump station time and power sequence curves are converted into dispatching instructions to form a dispatching plan. After approval and issuance by the dispatching personnel, the dispatching instructions are automatically sent to the pump station PLC for execution using the pump station automatic control program. The execution status of the instructions is saved to the system database and displayed in a visual system interface, which makes it convenient for dispatching managers to track the dispatching logs in real time and realize real-time tracking and historical backtracking of pump station dispatching.

[0055] This embodiment provides a plant-station-network integrated dispatching method, such as Figure 2 As shown, it depends on the scheduling scenario module, basic data module, monitoring data module, scheduling algorithm module, scheduling scheme module and automatic control execution module.

[0056] (1) The dispatching scenario module provides application scenarios such as emergency dispatching, temporary dispatching, and engineering dispatching in the drainage dispatching business, mainly including the dispatching scenarios of sewage treatment plant overload, daily staggered operation, shutdown and maintenance, abnormal water inflow, pre-drainage of pump stations before rain, fast drainage in rain, dredging, pump pool overflow, low water level in the dry season of the pipeline network, maintenance detection, overflow warning, and emergency repair. Different dispatching scenarios have different dispatching goals. The solution provided by the present invention automatically associates and analyzes different scenarios and selects different dispatching algorithms.

[0057] (2) The basic data module gathers static asset data and GIS spatial data of sewage treatment plants, pipe networks, and pump stations, and is the basis of the scheduling algorithm. Based on the basic data, the upstream and downstream topological structure of the facilities can be analyzed to determine the scheduling object. The static asset data of the pipe network slope, pipe diameter, well depth, length, width, depth, and highest and lowest liquid levels of the pump station sump and pump pool provide the basis for the calculation of the storage space. The power and operating time limit of the pump station pump provide the basis for the pump group output algorithm.

[0058] (3) Monitoring data module: collects real-time pipe network level and flow monitoring data, pump station level, inlet flow, outlet flow, sewage treatment plant forebay level and inlet flow, and forms a monitoring database to provide basic data for the remaining storage space and drainage volume prediction of each drainage path.

[0059] (4) Scheduling algorithm module, Figure 3 It is the scheduling algorithm module in the present invention, including two scheduling algorithms, namely, a blocking (slow discharge) algorithm and a fast discharge (transfer) algorithm, and three scheduling support algorithms, namely, a storage space algorithm, a drainage prediction algorithm, and a pump group output algorithm.

[0060] The adjustable storage space algorithm is used in combination with basic data to calculate the adjustable storage space of the pipeline network, pumping station, and sewage treatment plant. The used space is calculated using monitoring data, and the difference between the adjustable storage space and the used space is used as the remaining storage space.

[0061] The drainage prediction algorithm is used to calculate the future drainage volume of the drainage path by taking the calculation results of the storage space algorithm as input conditions and combining the inlet flow and outlet flow of the pump station.

[0062] The blocking and slow discharge algorithm is used, based on the remaining storage space of the upstream facilities calculated by the storage space algorithm and the discharge volume calculated by the discharge volume prediction algorithm, to calculate the discharge volume of each pumping station upstream of the drainage path during the scheduling period.

[0063] Using the fast-drainage diversion algorithm, the drainage volume of each pumping station within the downstream pipeline network, pumping station, and sewage treatment plant within the scheduling period is calculated based on the remaining storage space of the downstream facilities, the drainage volume of the downstream drainage path, and the diversion volume of the upstream drainage path.

[0064] Using the pump group output algorithm, based on the obtained parameters such as the displacement, pump group output power, and on the premise of meeting the total output flow and the maximum operating time of the pump group, the multivariate linear function is used to solve and calculate the time and flow (power) curves of the pump group to form a subsequent scheduling plan.

[0065] (5) The scheduling module converts the flow curve into the scheduling instruction information of each pump station at the corresponding time point based on the pump group time and flow curve calculated by the scheduling algorithm, combined with the number of pumps in the pump station and the maximum and minimum operating liquid level requirements of the pump pool, to form a scheduling plan and send it to the scheduling personnel for approval and confirmation.

[0066] (6) The automatic control execution module uses the pump station automatic control program to automatically send the dispatching instructions to the pump station PLC for execution according to the dispatching plan approved and issued by the dispatching personnel, and saves the execution status of the instructions to the system database and displays it in a visual system interface.

[0067] This embodiment provides a plant-station-network integrated dispatching method, such as Figure 1 As shown, the following steps are included:

[0068] S1: Select a scheduling scenario from the scheduling scenario module in combination with the specific drainage business. This embodiment takes the shutdown of the pump station for maintenance as an example. According to the scheduling scenario, it is determined whether the shutdown pump station has the conditions for cross-region scheduling. If so, the downstream cross-region scheduling plan is given priority to relieve the pressure on the upstream drainage facilities. If not, the upstream facilities are blocked and slowed down. The scheduling plan can also be carried out simultaneously to reduce the overflow risk of the upstream drainage facilities.

[0069] S2: Use the plugging and slow-discharge algorithm to calculate the time and power sequence of the pump groups of each pump station upstream of the plugged pump station during the plugging time. Figure 4 The specific calculation process of the blocking and easing algorithm is as follows: Figure 4 As shown, it may include:

[0070] S201: Obtain the topological structure and related parameters of the pump station and upstream drainage facilities from the basic data module, including the GIS spatial topological relationship of the plant-station network, that is, the connectivity relationship of the upstream drainage facilities in the drainage path where the pump station is located, the slope, diameter, and depth of the pipeline network, the length, width, and depth of the pump station collection pool and pump pool, and the maximum and minimum liquid level limits, to provide a basis for the calculation of the storage space.

[0071] S202: Acquire the operation monitoring data of the pump station and upstream drainage facilities from the monitoring data module, including historical monitoring data such as the pipe network level, pump station inlet pipe flow, outlet pipe flow, pump pool level, and water collection tank level, to provide a basis for the calculation of storage space and drainage volume of drainage households.

[0072] S203: Calculate the storage space of the pump station and upstream drainage facilities using the storage space algorithm. Figure 5 As shown in the figure, a section of interconnected pipe network is composed of multiple pipe sections with different slopes. The liquid level of the pipe section is used to calculate the amount of water in the pipe section according to the triple integral, and then the remaining space of the current pipe section is obtained by subtracting the amount of water in the pipe section from the total volume of the pipe section.

[0073] The remaining storage space of the drainage pipe on the entire drainage path can be obtained by adding up the storage space of pipelines with different slopes on the drainage path. The specific calculation method is as follows: Figure 6 As shown, the coordinate system is established as follows (the inclination angle α can be calculated according to the slope of the pipeline). It is known that the pipeline volume is V0, the pipeline liquid level is d, the pipeline is circular, the radius is r, the length of the pipe section is L, and the water volume in the pipeline is:

[0074]

[0075] The remaining storage space of the pipeline is: V 管 =V0-V.

[0076] For inspection wells, the remaining storage space V of the inspection well can be obtained by directly subtracting the difference between the well depth h (the well depth data below the overflow risk) and the current liquid level d and multiplying it by the well area s. 井 The storage space of the overall pipe network is: V 管网 =∑V 管 +∑V 井 .

[0077] The remaining storage space of the pump station can be calculated by the difference between the depth of the sump and pump pool (depth data below the pump pool liquid level limit) and the current liquid level, which is consistent with the calculation method of the inspection well.

[0078] S204: Based on the above result data, the drainage volume prediction algorithm is used to calculate the drainage volume discharged by the upstream drainage households into the drainage network, including the drainage volume in the historical period and the drainage volume in the future. The drainage volume of the drainage households in this period is calculated by the water inflow and outflow of the upstream and downstream pumping stations in a period of time, and the existing water volume of the pipe network and pumping stations in the initial and end time periods, so as to provide historical data for the drainage volume prediction model. The specific calculation method is as follows: Figure 7 As shown in the figure, the outflow of pump station 1 is Q1, and the inflow of pump station 2 is Q2. The water volume in the initial time period in the pipe network and pump station is V1, and the water volume after a period of time is V2. The water volume is conserved during this period of time, which conforms to the equation Q1+V households+V1=V2+Q2, so the drainage volume of the drainage household during this period of time is V 户 =V2-V1+Q2-Q1.

[0079] The long-term trend, periodic fluctuation and holiday impact of drainage volume are analyzed by using historical drainage data based on time series algorithm and combining multiple information such as holiday conditions and weather data. At the same time, the prediction residual and weather factors are deeply trained and optimized by combining machine learning models to predict drainage data for future time periods.

[0080] S205: Calculate the overflow risk time limit range of the upstream drainage facilities such as the pumping stations and pipe networks when the pumping station is blocked (not draining). Starting from the stopped pumping station, from bottom to upstream, the remaining storage space of the upstream pipe network connected to the i-th pumping station is set to The adjustable storage capacity of the pump station is set to The average discharge volume of drainage households is So according to The non-overflow time of each pumping station without drainage is obtained. Take the overflow time of the first pumping station and the connected pipe network as t1, and take the minimum value of the overflow time of all pumping stations connected to the pipe network except the first pumping station, t2 = min{t i-1}. When t1≤t2, take t limit = t1 is the overflow risk time limit of the upstream pump station group. When t1>t2, take the average overflow time of all pump stations, t limit =average{t i} is the overflow risk time limit of the upstream pump station group. Compare the shutdown time t 停运 Whether the overflow risk time limit t is met limit (It is satisfied if it is less than or equal to the time limit).

[0081] S206: When the downtime is less than the overflow risk limit, that is, t 停运 ≤t limit When the pumping station is blocked, the instantaneous flow rate of each upstream pumping station at each time is calculated. The specific calculation process is:

[0082] 1) During the blocking (slow discharge) time, starting from the most upstream pumping station, the remaining storage space of the upstream pipe network connected to the i-th pumping station is set to The adjustable storage capacity of the pump station is set to The predicted drainage volume of the drainage households is The displacement of the upstream pump station (group) is The displacement of the i-th pump station is The water volume formula to ensure that the upstream pump station (group) and the associated pipe network do not overflow is: (Formula 206-1) (In the formula The minimum value of is 0).

[0083] 2) When applying formula 206-1 from the most upstream pump station is 0, thus calculating the minimum discharge of the i-th pump station When applying this formula 206-1 from the most downstream pumping station, i.e. the plugging pumping station is 0, thus calculating the maximum discharge of the i-th pump station Finally, the plugging time t of each pump station is calculated. 停运 The range of discharge during the time period is Thus, the set of discharge volumes of each pumping station upstream of the blocked pumping station is calculated.

[0084] S207: When the downtime is greater than the overflow risk limit, that is, t 停运 >t limit When the outage time in the scheduling plan is adjusted to meet the overflow risk time limit, the calculation of the previous step S206 is performed.

[0085] S208: Using the pump group output algorithm, according to the obtained displacement and pump group output power parameters, the pump station displacement V is satisfied. 泵-排 Under the premise of (Formula 208-1, where P is the electric power, γ is the specific gravity of water, Q is the pump flow rate, H is the pump head, K is the motor standby coefficient, η pum Pump efficiency) can be used to calculate the power P under a specific head H and flow Q. Suppose the power p of a single pump in a pump station is i , the flow rate is Q i , the pump running time is t i The maximum running time of the pump is The pump head is H i The lift data range H can be calculated based on the difference between the outlet pipe elevation and the highest and lowest water levels of the pump pool design. i-安全低 ≤H i ≤H i-安全高 . Establish an objective function for each pumping station satisfy V 泵-排 For all pumping stations When the pumping station power is minimum and the efficiency is optimal, the time and power series of the pump group are calculated using multivariate linear functions to form the subsequent scheduling plan.

[0086] It should be noted that the pump station is a facility with multiple water pumps, and the pump group is a collection of multiple water pumps in the pump station.

[0087] For example, if there are three pumps pump1, pump2, and pump3 in a pump station P, Tn is the time, Pi-n is the power of a single pump in the time period from Tn-1 to Tn, then the time and power sequence of pump pump1 is S-pump1={{T1~T2,P1-1}, {T2~T2,P1-2},...{Tn-1~Tn,P1-n}}, and the time and power sequence of pump pump2 is S-pump2= {{T1~T2,P2-1}, {T2~T2,P2-2},……{Tn-1~Tn,P2-n}}, the time and power sequence of water pump pump3 is S-pump3={{T1~T2,P3-1}, {T2~T2,P3-2},……{Tn-1~Tn,P3-n}}, so the time and power sequence of the pump group is S={S-pump1,S-pump2,S-pump3}.

[0088] S3: When cross-regional dispatching is required, the fast transfer algorithm is used to calculate the time and power sequence of the pump groups of each pump station downstream of the transfer pump station within the transfer time. Figure 8 The specific calculation process of the quick sorting algorithm, as shown in the figure, may include:

[0089] S301: Acquire the topological structure and related parameters of the pump station and upstream and downstream drainage facilities from the basic data module, the method is the same as step S201.

[0090] S302: Acquire the operation monitoring data of the pump station and upstream and downstream drainage facilities, such as liquid level, flow, etc., from the monitoring data module, in the same manner as step S202.

[0091] S303: Use the storage space algorithm to calculate the storage space of the upstream and downstream drainage facilities in the diversion path, the method is the same as step S203.

[0092] S304: Use a drainage prediction algorithm to calculate the drainage volume discharged into the drainage network by the upstream drainage households and the drainage volume discharged into the drainage network by the drainage households on the transfer path, the method is the same as step S204.

[0093] S305: Taking the upstream drainage volume predicted during the outage period as the target and the carrying capacity of the drainage facilities on the diversion path as the basis, calculate the diversion target water volume. The specific method includes:

[0094] 1) Obtain the predicted discharge volume V of upstream drainage users within the outage period 未来-上游 .

[0095] 2) Assume the remaining treatment capacity of the sewage plant is V 污水厂 , the remaining storage space of the upstream pipe network connected to the i-th pump station is set to The maximum designed water delivery capacity of the pipe network is The adjustable storage capacity of the pump station is set to The maximum design displacement of the pump station is The drainage volume of the drainage household is The maximum displacement of the pump station is The maximum displacement of the upstream pump station (group) associated with it is The water volume formula to ensure that each pump station (group) and associated pipe network on the transfer path does not overflow is obtained as follows: (Formula 305-1) (Formula The minimum value of is 0).

[0096] 3) Taking the downstream sewage treatment plant as the starting point and the transfer pump station as the end point, use formula 305-1 to calculate the maximum discharge of each pump station on the transfer path within the shutdown time period. When calculating the first pump station upstream of the sewage treatment plant After calculation, the maximum discharge volume of the transfer pump station is the maximum target water volume V 目标 .

[0097] S306: When V 目标 ≥V 未来-上游 When the pumping station is used as the starting point and the sewage treatment plant is used as the end point, the discharge range of each pumping station is calculated using Formula 305-1 when the target water volume is increased downstream within the pumping station plugging time range. That is, using Formula 305-1, it is known that V 未来-上游 calculate Thus, the set of discharge volume of each pumping station downstream of the transfer pumping station is calculated.

[0098] S307: When V 目标 <V 未来-上游 When the outage time in the scheduling plan is adjusted to be shortened, the method in step S305 is installed to calculate the target water volume for diversion during the new outage time period to meet the upstream water volume requirement, and the next step S306 is performed to calculate the set of discharge volumes of each pumping station downstream of the diversion pumping station.

[0099] S308: Using the pump group output algorithm, the time and power sequence of the pump group is calculated according to the obtained displacement and pump group output power parameters. The calculation method is the same as S208.

[0100] S4: Convert the time and power sequence of each pump group into the dispatch instruction information corresponding to the time period of each pump station to form a dispatch plan. If it is a variable frequency water pump motor, the power change can be achieved by adjusting the frequency; if it is a fixed frequency water pump motor, the number of pumps to be turned on in the corresponding time period can be calculated based on the pump power. Thus, the dispatch instruction set SI of each pump station is formed. i}, and use this to prepare a scheduling plan and issue it for approval.

[0101] S5: The approved dispatching plan will be used by the pump station automatic control program to automatically send the dispatching instructions to the pump station PLC for execution, and the execution status of the instructions will be saved to the system database and displayed in a visual system interface, so that the dispatching management personnel can track the dispatching log in real time and realize real-time tracking and historical backtracking of pump station dispatching.

[0102] S6: During the execution of the dispatching instructions, the operation status of the plant and station network is monitored in real time. When there is a large deviation from the prediction, the dispatching strategy is automatically optimized and adjusted according to the monitoring data. According to the frequency of monitoring data, the dispatching algorithm is used to periodically calculate the overflow risk of various drainage facilities in real time, and the calculated risk warning and corresponding dispatching plan are sent to the dispatching personnel through SMS or system reminders so that they can take optimization and adjustment measures in time.

[0103] The present embodiment provides a method for integrated dispatching of a plant, a station and a network. According to the selected dispatching scenario, the method takes the sewage treatment plant, a pumping station and a pipe network as elements, and utilizes the integrated dispatching algorithm of the plant, a station and a network to automatically generate a dispatching plan, thereby realizing the joint dispatching and control between drainage facilities and drainage systems, thereby improving work efficiency. At the same time, during the dispatching process, the method automatically optimizes and adjusts the strategy according to the monitoring data to ensure the flexibility and reliability of the dispatching.

[0104] This embodiment provides a plant-station-network integrated scheduling method, which utilizes mathematical analysis methods to establish mathematical models based on different drainage scheduling and drainage scenarios, and uses real-time monitoring data of drainage facilities as input conditions to solve the mathematical models in various scenarios to solve practical problems, thereby ensuring the validity of the basic scheduling data and the accuracy of the scheduling plan.

[0105] Embodiment 2

[0106] This embodiment provides a plant-station-network integrated dispatching system, which specifically includes:

[0107] The data acquisition module is configured to: obtain the drainage volume and dispatching scenarios of the drainage households in historical time periods; predict the drainage volume of the drainage households in the shutdown period based on the drainage volume of the drainage households in historical time periods; determine whether the cross-region dispatching conditions are met based on the dispatching scenarios, and if so, perform fast-drainage transfer dispatching and / or blocking and slow-drainage dispatching; if not, perform blocking and slow-drainage dispatching;

[0108] The plugging and slow-discharge scheduling module is configured to: when performing plugging and slow-discharge scheduling, based on the drainage volume of the drainage user during the shutdown period, combined with the remaining storage space of the upstream facilities, calculate the drainage volume of each pumping station upstream of the plugging pumping station during the shutdown period;

[0109] The fast-discharge transfer scheduling module is configured to: when performing fast-discharge transfer scheduling, based on the discharge volume of the drainage user during the outage period, combined with the remaining storage space and carrying capacity of the downstream facilities, calculate the discharge volume of each pumping station downstream of the transfer pumping station during the outage period;

[0110] The optimization scheduling module is configured as follows: according to the scheduling time period and the discharge volume of each pump station, the pump group output algorithm is used to optimize the time and power sequence of the pump group with the goal of minimizing the pump station power; the time and power sequence curve is converted into a scheduling instruction to form a scheduling plan.

[0111] It should be noted here that each module in this embodiment corresponds to each step in Example 1 one by one, and the specific implementation process is the same, which will not be repeated here.

[0112] Embodiment 3

[0113] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the integrated dispatching method for a plant, station and network as described in the first embodiment above are implemented.

[0114] Embodiment 4

[0115] This embodiment provides a computer device, such as Fig. 9 As shown, it includes a computer-readable storage medium 1003, a processor 1001, a communication interface 1002, and a computer program stored on the computer-readable storage medium 1003 and executable on the processor 1001, wherein the processor 1001, the communication interface 1002, and the computer-readable storage medium 1003 can be connected via a bus or other means. The communication interface 1002 is used to receive and send data, and when the processor 1001 executes the program, the steps in the integrated dispatching method for a plant, station, and network as described in the first embodiment are implemented.

[0116] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0117] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0119] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A plant-station-network integrated dispatching method, characterized in that: include: Obtain the historical drainage volume and dispatching scenarios of drainage households; Based on the historical drainage volume of the drainage household, the drainage volume during the outage period is predicted; Determine whether cross-zone dispatch conditions are met based on the dispatch scenario. If so, perform fast-dispatch transfer dispatch and / or blocking and slow-dispatch dispatch. If not, perform blocking and slow-dispatch dispatch. When blocking and slowing down the discharge, the discharge volume of each pumping station upstream of the blocked pumping station during the outage period is calculated based on the discharge volume of the drainage user during the outage period and the remaining storage space of the upstream facilities; When fast-discharge transfer scheduling is carried out, the discharge volume of each pumping station downstream of the transfer pumping station during the outage period is calculated based on the discharge volume of the drainage user during the outage period, combined with the remaining storage space and carrying capacity of the downstream facilities; According to the scheduling time period and the discharge volume of each pumping station, the pump group output algorithm is used to optimize the time and power sequence of the pump group with the goal of minimizing the pump station power; the time and power sequence curve is converted into a scheduling instruction to form a scheduling plan.

2. A plant-station-network integrated dispatching method as claimed in claim 1, characterized in that: When blocking and slowing down the flow, it is assumed that the remaining storage space of the upstream pipe network connected to the i-th pump station is The remaining storage space of the i-th pump station is The average drainage flow of drainage households is Then the non-overflow time of the i-th pump station without drainage is Take the overflow time of the first pump station and the connected pipe network as t1, and take the minimum value of the overflow time of all pump stations connected to the pipe network except the first pump station as t2 = min{t i-1 }; When t1≤t2, take t limit = t1 is the overflow risk time limit of the upstream pump station group; when t1>t2, take t limit =average{t i } is the overflow risk time limit of the upstream pump station group; the shutdown time t 停运 Need to be less than the overflow risk time limit t limit .

3. A plant-station-network integrated dispatching method as claimed in claim 2, characterized in that: When blocking and slowing down the drainage, it is assumed that the drainage volume of the drainage user during the shutdown period is Discharge volume of each pumping station satisfy: represents the maximum discharge of the ith pump station, Represents the minimum discharge capacity of the i-th pumping station.

4. The integrated dispatching method for plant, station and network according to claim 1, characterized in that: When fast-discharge transfer scheduling is performed, it is assumed that the remaining treatment capacity of the sewage plant is V 污水厂 , the remaining storage space of the upstream pipe network connected to the i-th pump station is The maximum designed water delivery capacity of the pipe network is The remaining storage space of the i-th pump station is The maximum design displacement of the pump station is The drainage volume of the drainage user during the shutdown period is Discharge volume of each pumping station satisfy:

5. The integrated dispatching method for plant, station and network as claimed in claim 1, characterized in that: When fast drainage diversion scheduling is carried out, the drainage volume of the upstream drainage household predicted during the suspension period is taken as the target, and the carrying capacity of the drainage facilities on the diversion path is used as the basis to calculate the target diversion water volume. When the diversion target water volume is less than the drainage volume of the upstream drainage household, the suspension period is shortened.

6. The integrated dispatching method for plant, station and network according to claim 1, characterized in that: The constraints of the pump group output algorithm are: Where n is the number of pumps in the pump station, and the flow rate of a single pump in the pump station is Q i , the pump running time is t i The maximum running time of the pump is The pump head is H i , the data range of the pump head is H i-安全低 ≤H i ≤H i-安全高 .

7. The integrated dispatching method for plant, station and network as claimed in claim 1, characterized in that: The drainage volume V of a drainage household in a certain historical period 户 =V2-V1+Q2-Q1, where the outflow of water from the upstream pumping station during the historical period is Q1, the inflow of water from the upstream pumping station is Q2, the water volume in the initial time period in the pipeline network and the pumping station is V1, and the water volume after the historical period is V2.

8. A plant-station-network integrated dispatching system, characterized in that: include: The data acquisition module is configured to: obtain the drainage volume and scheduling scenarios of the drainage households in historical periods; Based on the drainage volume of drainage households in historical periods, the drainage volume of drainage households during the shutdown period is predicted; based on the dispatching scenario, it is determined whether the conditions for cross-regional dispatching are met. If so, fast-drainage transfer dispatching and / or blocking and slow-drainage dispatching are carried out; if not, blocking and slow-drainage dispatching is carried out; The plugging and slow-discharge scheduling module is configured to: when performing plugging and slow-discharge scheduling, based on the drainage volume of the drainage user during the shutdown period, combined with the remaining storage space of the upstream facilities, calculate the drainage volume of each pumping station upstream of the plugging pumping station during the shutdown period; The fast-discharge transfer scheduling module is configured to: when performing fast-discharge transfer scheduling, based on the discharge volume of the drainage user during the outage period, combined with the remaining storage space and carrying capacity of the downstream facilities, calculate the discharge volume of each pumping station downstream of the transfer pumping station during the outage period; The optimization scheduling module is configured as follows: according to the scheduling time period and the discharge volume of each pump station, the pump group output algorithm is used to optimize the time and power sequence of the pump group with the goal of minimizing the pump station power; the time and power sequence curve is converted into a scheduling instruction to form a scheduling plan.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in a plant-station-network integrated scheduling method as described in any one of claims 1-7 are implemented.

10. A computer device comprising a computer-readable storage medium, a processor, and a computer program stored in the computer-readable storage medium and executable on the processor, characterized in that: When the processor executes the program, the steps in the integrated dispatching method of a plant, station and network as described in any one of claims 1-7 are implemented.

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