Advanced process control optimization system and method for smart pump room

Abstract

The invention discloses an advanced process control optimization system for a smart pump room. The advanced process control optimization system comprises an APC server, a control system layer, an execution mechanism, detection equipment and a control system operation station, the APC server is in data communication connection with the control system layer; the control system layer is in data communication connection with the execution mechanism; the executing mechanism is used for controlling the water pump unit; the detection equipment is used for detecting operation data of the water pump unit and feeding back the operation data to the control system layer; and the control system operation station is in data communication connection with the control system layer. The invention further discloses an advanced process control optimization method for the smart pump room. According to the method, model prediction control is realized, a relation model between process variables is established, future input and output are predicted according to historical information of the system, and deviation between current output and expected output is calculated, so that control quantities at current and future moments are obtained, and a control target is realized.

Description

Technical Field

[0001] The present invention relates to a smart pump room control system technology, and more specifically, to an advanced process control optimization system and method for a smart pump room. Background Art

[0002] Traditional smart pump room control systems use classic proportional-integration-differential (PID) control, which is implemented by a built-in PID controller in a PLC or frequency converter, with PID parameters and control variable target values ​​preset. Since the control variables and controlled variable qualities of the smart pump room water supply process have the characteristics of multivariables, large lags and nonlinearity, conventional PID control cannot be adjusted in advance according to the actual water use habits of customers, resulting in large pressure fluctuations, insufficient flow, etc. Summary of the invention

[0003] In view of the defects existing in the prior art, the purpose of the present invention is to provide an advanced process control optimization system and method for a smart pump room, to realize model predictive control, to establish a relationship model between process variables, to predict future inputs and outputs based on system historical information, and to calculate the deviation between the current output and the expected output, so as to obtain the control quantity at the current and future moments and achieve the control target.

[0004] To achieve the above object, the present invention adopts the following technical solution:

[0005] A first aspect of the present invention provides an advanced process control optimization system for a smart pump room, comprising an APC server, a control system layer, an actuator, a detection device, and a control system operation station;

[0006] The APC server establishes a data communication connection with the control system layer;

[0007] The control system layer establishes a data communication connection with the actuator;

[0008] The actuator is used to control the water pump unit;

[0009] The detection device is used to detect the operating data of the water pump unit and feed it back to the control system layer;

[0010] The control system operation station establishes a data communication connection with the control system layer.

[0011] Preferably, the APC server establishes data interaction with the control system layer through an OPC communication interface.

[0012] Preferably, the APC server includes a modeling engine, an optimization engine and a database;

[0013] The modeling engine provides the acquired real-time data to the optimization engine, and the optimization engine feeds back the processed results to the modeling engine. The modeling engine corrects the control parameters of the water pump unit through adaptive online optimization, and also detects the working state of the control loop during the operation of the water pump unit in real time;

[0014] The database is used to store the real-time data and the operating status of the unit provided by the modeling engine.

[0015] Preferably, the optimization engine provides a variety of built-in functions, including cascade PID, multivariable PID, split-range control, internal model control, coordinated control, and multivariable decoupling control.

[0016] Preferably, the APC server is in a plug-in form and is parallel to the control system operation station.

[0017] Preferably, the detection equipment includes a pressure gauge, a flow meter, and an electric meter.

[0018] Preferably, the actuator is a PID controller.

[0019] The second aspect of the present invention provides an advanced process control optimization method for the advanced process control optimization system for a smart pump room based on the first aspect of the present invention;

[0020] The operating data of the water pump unit is obtained by real-time detection by the detection device, and fed back to the control system layer;

[0021] The modeling engine of the APC server obtains the real-time data of the control system layer and provides it to the optimization engine for processing. The processed results are then fed back to the modeling engine. The modeling engine corrects the control parameters of the water pump unit through adaptive online optimization, and also detects the working status of the control loop during the operation of the water pump unit in real time;

[0022] After obtaining the initial setting value and process boundary parameters sent by the control system operation station, the control system layer performs operation adjustment; it also dynamically receives the optimization parameter value calculated by the modeling engine of the APC server, and sends the optimization parameter value to the actuator, which controls the operation of the water pump unit.

[0023] Preferably, the modeling engine obtains PID parameter values ​​suitable for the current working conditions through an internal model control algorithm based on the characteristic quantities of the real-time data.

[0024] The advanced process control optimization system and method for a smart pump room provided by the present invention has the following beneficial effects:

[0025] 1) The present invention adopts APC server. The biggest difference from the classic PID control is that it is no longer a single variable control, but a multi-variable control of the entire controlled object. For example, the traditional intelligent pump room control system only considers whether the outlet pressure meets the user's needs, while the APC server needs to consider the flow rate, pump room energy consumption, pump efficiency, etc., and perform cascade control, which greatly improves the control quality;

[0026] 2) The present invention adopts an APC server, which has a prediction function compared to the classic PID controller. Before adjustment, the advanced control system will analyze multiple working conditions based on the water source conditions, pump group status, and user historical water usage, so as to predict the water production target of the smart pump room and adjust the control loop according to the prediction results. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the structural framework of the advanced process control optimization system of the present invention;

[0028] Figure 2 It is a schematic diagram of multi-channel parameter acquisition and adjustment adopted by the control system layer in the advanced process control optimization system of the present invention;

[0029] Figure 3 It is a schematic diagram of the structural framework of the APC server in the advanced process control optimization system of the present invention. DETAILED DESCRIPTION

[0030] In order to better understand the above technical solution of the present invention, the technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0031] Combination Figure 1 As shown, the present invention provides an advanced process control optimization system for a smart pump room, including an APC server 1, a control system layer (DCS) 2, an actuator 3, a detection device 4 and a control system operation station 5.

[0032] The APC server 1 is an advanced control system using predictive control technology, including a modeling engine 11, an optimization engine 12, a database 13, and an OPC communication service 14, such as Figure 3 shown.

[0033] The APC server 1 establishes data interaction with the control system layer 2 via the OPC communication interface 6 .

[0034] The modeling engine 11 provides the acquired real-time data to the optimization engine 12 for processing, and the optimization engine 12 feeds back the processed results to the modeling engine 11. The modeling engine 11 corrects the control parameters of the water pump unit 7 through adaptive online optimization, and also detects the working status of the relevant control loops during the operation of the water pump unit 7 in real time.

[0035] The database 13 is used to store the real-time data and the operating status of the unit provided by the modeling engine 11.

[0036] The optimization engine 12 provides more than 100 built-in functions, including cascade PID, multivariable PID, split-range control, internal model control, coordinated control, and multivariable decoupling control.

[0037] The control system operation station 5 is connected to the control system layer 2 to issue the initial parameters of the control system layer 2. In addition to the parameters required for PID control, performance indicators, restriction conditions, etc. also need to be set into the system as process parameters.

[0038] The APC server 1 is in parallel with the control system operation station 5 in the form of an external plug-in, and they are two independent hardware platforms. The two can be used independently or in combination. Only a small amount of switching logic needs to be added, and the operating logic can be switched between the control system operation station 5 and the APC server 1.

[0039] The detection equipment 4 is a conventional detection instrument, including a pressure gauge, a flow meter, and an electric meter, which provides parameter feedback for the control system layer 2.

[0040] The actuator is a PID controller, which obtains the value sent from the control system layer, controls the speed of the pump group, and meets the customer's water demand.

[0041] The present invention also provides an advanced process control optimization method based on the advanced process control optimization system of the present invention.

[0042] The operating data of the water pump unit 7 is acquired through real-time detection by the detection device 4 and fed back to the control system layer 2 .

[0043] The modeling engine 11 in the APC server 1 obtains the real-time data of the control system layer 2 and provides it to the optimization engine 12 for processing. The result of the processing by the optimization engine 12 is fed back to the modeling engine 11. The modeling engine 11 corrects the control parameters of the water pump unit 7 through adaptive online optimization, and also detects the working status of the relevant control loops during the operation of the water pump unit 7 in real time.

[0044] The modeling engine 11 collects the real-time dynamic characteristic data of the control loop, and obtains the PID parameter value suitable for the current working condition through the internal model control algorithm (IMC) according to the characteristic quantity of the real-time data in the control loop.

[0045] The APC server 1 (including the modeling engine 11 and the optimization engine 12) needs to be purchased externally.

[0046] The customer's water consumption at different times of the day is loaded from the database, and different pressure target values ​​are set, such as changing from 0.4Mpa to 0.35Mpa, and then changing back to 0.4Mpa. When the value changes, water pressure oscillation occurs in the outlet pipe network. The PID parameter value suitable for the current working condition is calculated through the internal model control algorithm, and the PID parameter value is sent to the pressure controller loop to weaken the proportional and integral effects, thereby reducing the fluctuation amplitude of the pressure parameters and improving the control quality.

[0047] After the control system layer 2 obtains the initial setting values ​​and process boundary parameters sent by the control system operation station 5, it performs operation adjustments; it also dynamically receives the optimization parameter values ​​calculated by the modeling engine 11 of the APC server 1, and sends the optimization parameter values ​​to the actuator 3, which controls the operation of the water pump unit 7.

[0048] Compared with the traditional single-parameter PID control system of the smart pump room, the present invention not only considers the single parameter of the terminal water supply pressure, but also performs cascade control on multiple parameters in the smart pump room system such as flow, power consumption, water pump efficiency, etc., to improve the control quality, such as Figure 2 shown.

[0049] Those skilled in the art should recognize that the above embodiments are only used to illustrate the present invention, and are not intended to limit the present invention. As long as they are within the spirit of the present invention, any changes or modifications to the above embodiments will fall within the scope of the claims of the present invention.

Claims

1. An advanced process control optimization system for a smart pump room, characterized by: Includes APC server, control system layer, actuator, testing equipment and control system operation station; The APC server establishes a data communication connection with the control system layer; The control system layer establishes a data communication connection with the actuator; The actuator is used to control the water pump unit; The detection device is used to detect the operating data of the water pump unit and feed it back to the control system layer; The control system operation station establishes a data communication connection with the control system layer.

2. The advanced process control optimization system for a smart pump room according to claim 1 is characterized in that: The APC server establishes data interaction with the control system layer through the OPC communication interface.

3. The advanced process control optimization system for a smart pump room according to claim 1 is characterized in that: The APC server includes a modeling engine, an optimization engine and a database; The modeling engine provides the acquired real-time data to the optimization engine, and the optimization engine feeds back the processed results to the modeling engine. The modeling engine corrects the control parameters of the water pump unit through adaptive online optimization, and also detects the working state of the control loop during the operation of the water pump unit in real time; The database is used to store the real-time data and the operating status of the unit provided by the modeling engine.

4. The advanced process control optimization system for a smart pump room according to claim 3 is characterized in that: The optimization engine provides a variety of built-in functions, including cascade PID, multivariable PID, split-range control, internal model control, coordinated control, and multivariable decoupling control.

5. The advanced process control optimization system for a smart pump room according to claim 1 is characterized in that: The APC server is in parallel with the control system operation station in the form of an external plug-in.

6. The advanced process control optimization system for a smart pump room according to claim 1 is characterized in that: The detection equipment includes a pressure gauge, a flow meter and an electric meter.

7. The advanced process control optimization system for a smart pump room according to claim 1, characterized in that: The actuator is a PID controller.

8. An advanced process control optimization method for an advanced process control optimization system for a smart pump room based on any one of claims 1 to 7, characterized in that: The operating data of the water pump unit is obtained by real-time detection by the detection device, and fed back to the control system layer; The modeling engine of the APC server obtains the real-time data of the control system layer and provides it to the optimization engine for processing. The processed results are then fed back to the modeling engine. The modeling engine corrects the control parameters of the water pump unit through adaptive online optimization, and also detects the working status of the control loop during the operation of the water pump unit in real time; After the control system layer obtains the initial setting value and process boundary parameters sent by the control system operation station, it performs operation adjustment; It also dynamically receives the optimization parameter values ​​calculated by the modeling engine of the APC server, and sends the optimization parameter values ​​to the actuator, which controls the operation of the water pump unit.

9. The advanced process control optimization method according to claim 8, characterized in that: The modeling engine obtains PID parameter values ​​suitable for the current working conditions through an internal model control algorithm according to the characteristic quantities of the real-time data.

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