CN114382687B - Method, apparatus and medium for controlling air compressor in air compression station - Google Patents
Method, apparatus and medium for controlling air compressor in air compression station Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, 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
- F04B49/06—Control using electricity
- F04B49/065—Control using electricity and making use of computers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, 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
- F04B49/02—Stopping, starting, unloading or idling control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, 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
- F04B49/08—Regulating by delivery pressure
Abstract
Embodiments of the present disclosure relate to methods, apparatus, and media for controlling air compressors in air compression stations. According to the method, a first pressure-time curve is curve-fitted based on a plurality of pressures collected at the parent tube prior to a current time point; determining a control operation to be performed based on the first pressure-time curve; predicting, for each air compressor in the air compression station, a first pressure change angle that would be generated if the control operation was performed by that air compressor based on the trained pressure change angle model; determining the reaction time of each air compressor in the air compression station for executing the control operation; and determining one or more air compressors which are required to execute the control operation in the air compression station and the time for the one or more air compressors to execute the control operation based on the first pressure time curve, the first pressure change included angle predicted for each air compressor and the determined reaction time. Therefore, the optimal air compressor starting combination can be matched under different air consumption requirements.
Description
Technical Field
Embodiments of the present disclosure relate generally to the field of control, and more particularly, to a method, apparatus, and medium for controlling an air compressor in an air compression station.
Background
To meet the needs of industrial production, it is often necessary to generate gas (e.g., compressed air, etc.) by using an air compression station (simply referred to as "air compression station"), and to transmit the generated gas from the air compression station to a different gas user (e.g., gas utilization plant, etc.) through a network of pipes. An air compression station typically includes a plurality of air compressors (simply "air compressors"), which are industrial power plants that produce compressed air for delivery to a gas utility. Under the different production gas demands of gas user, need to start one or more air compressors in the air compression station to satisfy the gas demand of using. At present, the start and stop of the air compressors in the air compression station are usually manually controlled, or the air compressors in the air compression station are controlled according to artificially set start and stop rules of the air compressors based on a Programmable Logic Controller (PLC) joint control technology, and the artificially set start and stop rules of the air compressors are used for determining how to start and stop the air compressors according to a target pressure required by production.
However, the manual start and stop of the air compressor requires manual experience, so that it is not possible to ensure accurate and timely response to the change of the air demand, and it is easy to cause resource waste due to continuous high-pressure output or cause major accidents such as production line shutdown due to low-pressure condition. The air compressor is started and stopped usually by means of the set upper and lower limits of the target pressure based on a simple PLC joint control technology, so that cooperative operation is lacked among all devices, the air compressor is easy to cause air supply and demand difference between an air compression station and a production workshop, the air compressor is enabled to be started and stopped frequently, output pressure and output flow are caused to generate large fluctuation, the air compressor cannot be maintained in a stable interval, and resource waste is caused.
Disclosure of Invention
In view of the above, the present disclosure provides a method, apparatus, and medium for controlling air compressors in an air compression station so that an optimal air compressor starting combination can be matched under different air usage demands.
According to a first aspect of the present disclosure, there is provided a method for controlling an air compressor in an air compressor station, the method comprising: curve fitting a first pressure-time curve based on a plurality of pressures collected at the parent tube prior to a current time point; determining control operation to be executed based on the first pressure-time curve, wherein the control operation comprises air compressor starting operation or air compressor shutdown operation; predicting a first pressure change included angle which is generated if the air compressor executes the control operation for each air compressor in the air compression station based on a trained pressure change included angle model, wherein the first pressure change included angle represents an anticlockwise tangent included angle of a first pressure time curve and a second pressure time curve which is obtained after the air compressor executes the control operation at an intersection point; determining a reaction time for each air compressor in the air compression station to perform the control operation; and determining one or more air compressors in the air compression station which need to execute the control operation and the time for the one or more air compressors to execute the control operation based on the first pressure time curve, the first pressure change included angle predicted for each air compressor and the determined reaction time.
According to a second aspect of the present disclosure, there is provided a computing device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect of the disclosure.
In a third aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of the first aspect of the present disclosure.
In some embodiments, determining one or more air compressors of the air compression station that are required to perform the control operation and the time for the one or more air compressors to perform the control operation based on the first pressure-time curve, the predicted first pressure change angle for each air compressor, and the determined reaction time comprises: determining a time period required for changing from the pressure of the mother pipe at the current time point to the upper pressure limit or the lower pressure limit of the mother pipe based on the first pressure time curve; determining a second pressure change included angle required for achieving stable gas supply and demand based on an included angle between a third tangent line of the first pressure-time curve at the current time point and the time axis, wherein the second pressure change included angle represents an anticlockwise included angle between the third tangent line and a horizontal straight line; matching one or more air compressors in the air compression station, which need to execute the control operation, based on the first pressure change included angle and the second pressure change included angle predicted for each air compressor; and in response to determining that the length of time is less than a minimum reaction time of reaction times of the matched one or more air compressors to perform the control operation, causing the matched one or more air compressors to perform the control operation.
In some embodiments, determining, based on the first pressure-time curve, a length of time required to change the pressure of the parent pipe at the current point in time to a preset upper or lower pressure limit comprises: determining a point in time at which the pressure at the parent pipe reaches a preset upper or lower pressure limit based on a mathematical model of the first pressure-time curve; and subtracting the determined time point from the current time point to obtain the time length.
In some embodiments, matching one or more air compressors of the air compression station that are required to perform the control operation based on the first pressure change angle and the second pressure change angle predicted for each air compressor comprises: determining data which is closest to the second pressure change included angle in the first pressure change included angle predicted for each air compressor and the sum of two or more first pressure change included angles; and determining one or more air compressors associated with the closest data as one or more air compressors required to perform the control operation.
In some embodiments, determining a control operation to be performed based on the first pressure-time profile comprises: determining that no control operation is required if the first pressure-time curve is a horizontal straight line; if the first pressure-time curve is in a descending trend, determining that the control operation to be executed is the starting operation of the air compressor; and if the first pressure time curve is in an ascending trend, determining that the control operation to be executed is the shutdown operation of the air compressor.
In some embodiments, predicting, for each air compressor in the air compression station, a first included pressure variation angle that would result if the control operation were performed by the air compressor based on a trained included pressure variation angle model comprises: determining power data and state data of the air compressor when the control operation is executed; acquiring power data and state data of each other air compressor except the air compressor at the current time point in the air compression station; acquiring environmental temperature data and environmental humidity data of a current time point; and determining a corresponding first pressure change included angle for the air compressor based on the determined power data and state data of the air compressor, the obtained power data and state data of each other air compressor, the environment temperature data, the environment humidity data and the trained pressure change included angle model.
In some embodiments, the pressure change included angle model is obtained by training using a regression algorithm based on a plurality of sample data sets, each sample data set includes associated sample environmental temperature data, sample environmental humidity data, sample power data of each air compressor in the air compression station, sample state data of each air compressor in the air compression station, and a corresponding sample pressure change included angle, and in each sample data set, the sample state data of only one air compressor is first state data indicating that the air compressor is performing an air compressor startup operation or an air compressor shutdown operation, the state data of the other air compressors is second state data indicating that the air compressor is running or stopped, and the regression algorithm includes any one of a gradient descent method, a limit gradient ascent algorithm, a lightweight gradient ascent algorithm, or a random forest algorithm.
In some embodiments, the sample pressure variation included angle in each sample data set is determined based on a plurality of first sample pressures acquired by the air compressor belonging to the first state data at the main pipe before the control operation is executed and a plurality of second sample pressures acquired by the air compressor at the main pipe after the control operation is executed, under the condition that the associated sample environment temperature data, sample environment humidity data, sample power data and related second state data are kept unchanged.
In some embodiments, the determining the sample pressure variation included angle in each sample data set based on a plurality of first sample pressures acquired by the air compressor with sample state data belonging to first state data at the main pipe before the control operation is executed and a plurality of second sample pressures acquired by the air compressor at the main pipe after the control operation is executed comprises: curve fitting a third pressure-time curve based on the plurality of first sample pressures; curve fitting a fourth pressure-time curve based on the plurality of second sample pressures; determining a first angle between a tangent of the third pressure-time curve at the intersection with the fourth pressure-time curve and the time axis; determining a second angle between a tangent to the fourth pressure-time curve at the intersection with the third pressure-time curve and the time axis; and determining a corresponding sample pressure change included angle based on the first included angle and the second included angle.
In some embodiments, curve fitting the first pressure-time curve based on the plurality of pressures acquired at the parent tube prior to the current time point comprises curve fitting the first pressure-time curve based on the plurality of pressures acquired at the parent tube prior to the current time point using a regression algorithm, the regression algorithm comprising either a least squares method or a gradient descent method.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
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The above and other features, advantages and aspects of embodiments of the present disclosure will become more apparent upon consideration of the following detailed description, taken in conjunction with the accompanying drawings. In the drawings, like or similar reference numbers indicate like or similar elements.
Fig. 1 shows a schematic diagram of a system 100 for implementing a method for controlling an air compressor in an air compressor station according to an embodiment of the invention.
Fig. 2 shows a flow chart of a method 200 for controlling an air compressor in an air compressor station according to an embodiment of the present disclosure.
FIG. 3 shows an illustrative schematic of an exemplary first included angle of pressure change and second included angle of pressure change.
Fig. 4 shows a flow chart of a method 400 for determining air compressors in an air compressor station that are required to perform a control operation and the time for the air compressors to perform the control operation according to an embodiment of the present disclosure.
Fig. 5 shows a flow diagram of a method 500 for determining a sample pressure change angle according to an embodiment of the disclosure.
Fig. 6 illustrates a block diagram of an electronic device 600 in accordance with an embodiment of the disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The term "include" and variations thereof as used herein is meant to be inclusive in an open-ended manner, i.e., "including but not limited to". Unless specifically stated otherwise, the term "or" means "and/or". The term "based on" means "based at least in part on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". The terms "first," "second," and the like may refer to different or the same object. Other explicit and implicit definitions are also possible below.
As described above, at present, the start and stop of the air compressors in the air compression station are usually manually controlled, or based on a Programmable Logic Controller (PLC) joint control technology, the air compressors in the air compression station are controlled according to a manually set start and stop rule of the air compressors. However, the manual start and stop of the air compressor requires manual experience, so that it is not possible to ensure accurate and timely response to the change of the air demand, and it is easy to cause resource waste due to continuous high-pressure output or cause major accidents such as production line shutdown due to low-pressure condition. The air compressor is started and stopped usually by means of the set upper and lower limits of target pressure based on a simple PLC joint control technology, so that cooperative operation is lacked among all devices, and therefore, the difference between air supply and demand of an air compression station and a production workshop is easily caused, the air compressor is started and stopped frequently, the output pressure and flow are caused to generate large fluctuation, the stable interval cannot be maintained, and resource waste is further caused.
To address at least in part one or more of the above issues and other potential issues, an example embodiment of the present disclosure presents a method for controlling an air compressor in an air compressor station, the method comprising: curve fitting a first pressure-time curve based on a plurality of pressures collected at the parent tube prior to a current time point; determining control operation to be executed based on the first pressure-time curve, wherein the control operation comprises air compressor starting operation or air compressor shutdown operation; predicting, for each air compressor in the air compression station, a first pressure change included angle that would be generated if the air compressor performed the control operation based on a trained pressure change included angle model, the first pressure change included angle representing an anticlockwise tangential included angle of the first pressure-time curve and a second pressure-time curve at an intersection point that would be obtained after the air compressor performed the control operation; determining the reaction time of each air compressor in the air compression station for executing the control operation; and determining one or more air compressors in the air compression station which need to execute the control operation and the time for the one or more air compressors to execute the control operation based on the first pressure time curve, the first pressure change included angle predicted for each air compressor and the determined reaction time. In this way, make can match the optimal air compressor machine start combination under the gas demand of difference to can avoid the air compressor machine to frequently open and stop, avoid the wasting of resources, and then can reach the energy-conserving and purpose that improve equipment management benefit of air compression station.
Fig. 1 shows a schematic diagram of a system 100 for implementing a method for controlling an air compressor in an air compressor station according to an embodiment of the invention. As shown in fig. 1, system 100 includes an air compressor control device 110 and an air compressor station 120. Air compressor stations 120 may include a plurality of air compressors therein, such as air compressors 121-1, 121-2, 121-3, and 121-4 (hereinafter collectively referred to as 121) shown in FIG. 1, for generating compressed air for delivery to a gas user, such as gas utility plants 124-1 and 124-2 (hereinafter collectively referred to as 124) shown in FIG. 1. Although four air compressors 121 are shown to be included in the air compression station 120 in fig. 1, more or fewer air compressors 121 may be included in the air compression station 120 in actual use while remaining within the scope of the present disclosure. The air compressor control device 110 is coupled to each air compressor 121 in the air compression station 120, so as to control each air compressor 121, including automatically controlling the start-up and shut-down operations of each air compressor, so as to realize an optimal air compressor start-up combination under different air consumption demands. The air compressor control device may be implemented by an electronic device such as a desktop computer, a laptop computer, an industrial control computer, an embedded control device, etc., the specific structure of which may be described below, for example, in connection with fig. 6. Air compressor control device 110 may include at least one processor 1101 and at least one memory 1102 coupled to the at least one processor 1101, the memory 1102 having stored therein instructions executable by the at least one processor 1101 that, when executed by the at least one processor 1101, perform method 200 as described below.
As shown in FIG. 1, system 100 may also include a gas storage tank 122, a parent and utility plant 124-1 and 124-2 (hereinafter collectively 124). Although only two gas usage plants are shown in FIG. 1 as comprising the system 100, more or fewer gas usage plants may be included in actual use while remaining within the scope of the present application. The air tank 122 may be used to store compressed air generated by the air compressor 121 for transmission to an air utilization plant 124 requiring air utilization through a main pipe 123 and an air transmission pipeline. In the present disclosure, by measuring the instantaneous pressure at the mother pipe 123 using the gas production end pressure sensor, for example, at a predetermined sampling frequency, a corresponding pressure-time curve may be curve-fitted for determining a corresponding gas use supply and demand difference condition, so as to control the air compressor 121 based on the supply and demand difference condition. In the present disclosure, the air compressor control device 110 is further coupled to various sensors (including a gas generation end pressure sensor) of the gas generation end and the gas generation end (not shown in the figure for the sake of brevity) for use in controlling the air compressor 121. In the present disclosure, the system 100 may further include a temperature sensor and a humidity sensor (not shown in the drawings) for measuring the temperature and humidity of the current environment, respectively, which are also connected with the air compressor control apparatus 110 for use in controlling the air compressor 121.
Fig. 2 shows a flow chart of a method 200 for controlling an air compressor in an air compression station according to an embodiment of the present disclosure. Method 200 may be performed by air compressor control apparatus 110 as shown in fig. 1, or may be performed at electronic apparatus 600 as shown in fig. 6. It should be understood that method 200 may also include additional blocks not shown and/or may omit blocks shown, as the scope of the disclosure is not limited in this respect.
In step 202, the air compressor control device 110 curve fits the first pressure-time curve based on the plurality of pressures collected at the mother pipe prior to the current time point.
The plurality of pressures collected at the mother pipe are gas production end pressures, which may be collected at the mother pipe by a gas production end pressure sensor as shown in fig. 1 using a predetermined sampling frequency. The change rate of the pressure of the gas production end along with the time is positively correlated with the gas supply and demand gap, and the gas supply and demand gap can reflect the difference situation between the gas demand flow and the supply flow (hereinafter referred to as gas supply and demand difference), namely, the gas supply and demand balance is realized, or the gas supply is higher than the gas supply, or the gas demand is higher than the gas supply. Therefore, it may be helpful to more intuitively reflect such a gas demand and supply difference by curve fitting the pressure-time curve.
In the present disclosure, each pressure-time curve represents a relationship between pressure at the main pipe and time under a specific control condition of the air compression station (e.g., in the case of a specific air compressor on combination of the air compression station). Thus, the first pressure-time curve in step 202 refers to the relationship between pressure at the main pipe and time (e.g., the first pressure-time curve in fig. 3) under the current control conditions of the air compression station (e.g., in the case of the current air compressor on combination of the air compression station). Thus, in step 202, the plurality of pressures collected at the parent tube are the plurality of pressures collected at the parent tube under the current control conditions prior to the current point in time. When a change occurs in the control conditions of the air compressor station, for example, when one or more air compressors of the air compressor station that are originally shut down are activated (i.e., turned on) or one or more air compressors of the air compressor station that are originally operating are turned off (i.e., shut down or shut down), the pressure-time curve changes, i.e., becomes another pressure-time curve (e.g., the second pressure-time curve in fig. 3). Thus, the first pressure-time curve mentioned in step 202 is associated with the first control condition at the current point in time, and the second pressure-time curve mentioned later is associated with the second control condition after the corresponding air compressor has performed the control operation to be performed.
Curve fitting the first pressure-time curve refers to representing the first pressure-time curve by determining a mathematical model. In the present disclosure, a regression algorithm may be used to curve fit the first pressure-time curve based on a plurality of pressures collected at the parent tube prior to the current time point. The regression algorithm used may be either a least squares method or a gradient descent method. In particular, it may be determined whether the pressure change rate is constant or not based on several pressures collected at the parent tube and their collection times, for example, using a plurality of time windows (which may be the same or different in time span). If it is determined that the rate of change of pressure is constant or substantially constant (e.g., the rate of change is less than or equal to a predetermined threshold), a linear mathematical model P = ax + b may be used to curve fit a first pressure-time curve based on a plurality of pressures acquired at the parent tube, where P is the pressure value, x is time, and a and b are model parameters that are determined by any of the regression algorithms mentioned above at the time of curve fitting. If it is determined that the rate of change of pressure is not constant (e.g., the rate of change is greater than a predetermined threshold), a second order mathematical model P = ax may be employed 2 + bx + c to curve fit a first pressure-time curve based on a plurality of pressures collected at the parent tube, where P is the pressure value, x is time, and a, b, and c are model parameters, which are determined by any of the regression algorithms mentioned above at the time of curve fitting. Of course, in the case where it is determined that the rate of change is not constant, higher order polynomial models may also be used to curve fit the first pressure-time curve, but overfitting should be prevented.
In step 204, a control operation to be executed is determined based on the first pressure-time curve, wherein the control operation to be executed comprises an air compressor startup operation or an air compressor shutdown operation.
In the present disclosure, the control operation to be performed may be determined based on a trend of the first pressure-time curve over time. Specifically, if the first pressure-time curve is a horizontal straight line, it is determined that no control operation is required; if the first pressure-time curve is in a descending trend, determining that the control operation to be executed is the starting operation of the air compressor; and if the first pressure-time curve is in an ascending trend, determining that the control operation to be executed is the shutdown operation of the air compressor.
When the first pressure time curve is a horizontal straight line, it indicates that the pressure at the main pipe is kept constant, i.e., the air supply and demand are balanced, and thus it is determined that there is no need to perform any air compressor control operation. When the first pressure time curve is in a descending trend, the pressure of the gas production end at the main pipe is reduced, namely the gas demand is increased, so that the starting operation of the air compressor to be executed can be determined. When the first pressure time curve is in an ascending trend, the pressure of the gas production end at the target position is increased, namely the gas demand is decreased, so that the air compressor shutdown operation to be executed can be determined.
At step 206, a first included pressure change angle that will be generated by each air compressor in the air compression station when the air compressor performs the control operation determined at step 204 is predicted for that air compressor based on the trained included pressure change angle model. In the present disclosure, the first pressure change included angle refers to an included angle of a counterclockwise tangent line at an intersection point of the first pressure time curve and a corresponding second pressure time curve to be formed after the air compressor performs a control operation, for example, an angle (not labeled in fig. 3, but can be seen from the third tangent line and the fourth tangent line) which needs to be passed through for counterclockwise changing from the third tangent line to the fourth tangent line shown in fig. 3. For example, knowing the first pressure-time curve and the second pressure-time curve, the first pressure change angle may be determined by subtracting 180 ° from the first pressure-time curve at the intersection a clockwise angle (e.g., the angle required to pass from the third tangent shown in fig. 3 to the time axis) of the tangent to the first pressure-time curve and the time axis at the intersection and a clockwise angle (e.g., the angle required to pass from the time axis shown in fig. 3 to the fourth tangent) of the time axis and the second pressure-time curve at the intersection. However, since the second pressure-time curve cannot currently be determined, a trained pressure change angle model is used herein to determine the first pressure change angle.
Specifically, predicting, for each air compressor in the air compression station, a first included angle of pressure change (i.e., step 206) that will result from the air compressor when performing the control operation determined in step 204 may include determining power data and status data for the air compressor when performing the control operation (i.e., the control operation determined in step 204). It should be understood that the power data of the industrial-frequency air compressors is usually fixed when the power-on operation or the power-off operation is performed, and therefore, when it is assumed that any one of the air compressors performs the above control operation, the power data of the air compressor can be regarded as the corresponding fixed power data (i.e., the power data when the air compressor is started or the power data when the air compressor is shut down). The state data of the air compressor is used for indicating whether the air compressor is started, shut down, operated or stopped currently. Therefore, when it is assumed that any one of the air compressors performs the above control operation, the state data of the air compressor can be regarded as data indicating the corresponding state (i.e., on or off). Step 206 may also include obtaining power data and status data for each of the other air compressors in the air compressor station other than the air compressor (i.e., the air compressor currently assumed to perform the control operation determined in step 204) at the current point in time. Step 206 may also include obtaining ambient temperature data and ambient humidity data for the current point in time. Step 206 may also include determining a corresponding first pressure change angle for the air compressor based on the power data and status data for that air compressor (i.e., the air compressor currently assumed to perform the control operation determined in step 204), the acquired power data and status data for each of the other air compressors, and the ambient temperature data and ambient humidity data and the trained pressure change angle model. That is, in the present disclosure, by inputting the power data and the status data of the air compressor (i.e., the air compressor currently assumed to perform the control operation determined in step 204), the acquired power data and status data of each of the other air compressors, and the ambient temperature data and the ambient humidity data into the trained included pressure variation angle model, the included pressure variation angle model outputs the corresponding first included pressure variation angle.
In some embodiments, the pressure change included angle model may be trained using a regression algorithm based on a plurality of different sample data sets, each sample data set may include associated sample ambient temperature data, sample ambient humidity data, sample power data for each air compressor in the air compressor station, sample status data for each air compressor in the air compressor station, and a corresponding sample pressure change included angle. In order to improve the accuracy of the training result, it should be ensured that in each sample data set, only the sample state data of one air compressor is the first state data indicating that the air compressor is executing the air compressor startup operation or the air compressor shutdown operation, and the state data of the other air compressors is the second state data indicating that the air compressor is running or stopped. The regression algorithm used for training the pressure change angle model may be any one of a Gradient descent method, an Extreme Gradient Boosting (Xgboost) algorithm, a light Gradient Boosting machine (light GBM) algorithm, or a Random Forest (Random Forest) algorithm.
In the present disclosure, the sample pressure variation angle in each sample data set is determined based on a plurality of first sample pressures collected by the air compressor at the main pipe before the control operation (i.e., the control operation determined in step 204) is executed by the air compressor based on the sample state data as the first state data and a plurality of second sample pressures collected by the air compressor at the main pipe after the control operation is executed, while the associated sample ambient temperature data, sample ambient humidity data, sample power data, and associated second state data are kept unchanged. The method for determining the sample pressure change angle in each sample data set is described in more detail further below with reference to fig. 5.
In step 208, the reaction time for each air compressor in the air compressor station to perform the control operation (i.e., the control operation determined in step 204) is determined.
When the control operation is the air compressor starting operation, the reaction time of the control operation refers to the time required from the start of the starting operation of the corresponding air compressor to the stable operation of the air compressor.
When the control operation is an air compressor shutdown operation, the reaction time of the control operation refers to the time required from the start of the shutdown operation of the corresponding air compressor to the shutdown of the air compressor.
In step 210, one or more air compressors in the air compression station which need to execute the control operation and the time for the one or more air compressors to execute the control operation are determined based on the first pressure time curve, the predicted first pressure change angle for each air compressor and the determined reaction time.
Step 210 is described in further detail below in conjunction with fig. 4.
After the time for executing the control operation by the one or more air compressors and the time for executing the control operation by the one or more air compressors in the air compression station are determined, the determined one or more air compressors can be controlled to execute the corresponding control operation at the determined time, so that the optimal air compressor starting combination of the air compression station is realized, frequent starting and stopping of the air compressors can be avoided, resource waste is avoided, and the purposes of saving energy and improving equipment management benefits of the air compression station can be achieved.
Fig. 4 shows a flow chart of a method 400 for determining air compressors in an air compressor station that are required to perform a control operation and the time for the air compressors to perform the control operation according to an embodiment of the present disclosure. The method 400 may be performed by the air compressor control apparatus 110 shown in fig. 1, or may be performed at the electronic apparatus 600 shown in fig. 6. It should be understood that method 400 may also include additional blocks not shown and/or may omit blocks shown, as the scope of the disclosure is not limited in this respect.
At step 402, based on the first pressure-time curve, a length of time required to change from the pressure of the parent pipe at the current point in time to the upper or lower pressure limit of the parent pipe is determined.
The upper pressure limit and the lower pressure limit of the mother pipe respectively refer to the maximum value and the minimum value which can be reached by the pressure at the mother pipe, and the pressure of the mother pipe should be within the range of the upper pressure limit and the lower pressure limit so as to ensure that the mother pipe cannot generate the problems of waste caused by overhigh pressure or influence on production gas and the like caused by overlow pressure due to overhigh pressure or overlow pressure.
Specifically, step 402 may include the following operations. First, a point in time at which the pressure at the parent pipe reaches a preset upper or lower pressure limit is determined based on a mathematical model of a first pressure-time curve. And then, subtracting the determined time point from the current time point to obtain the corresponding time length.
In step 404, a second pressure variation angle required for achieving the stable gas supply and demand is determined based on an angle between a third tangent of the first pressure-time curve at the current time point and the time axis. The second pressure variation angle represents a counterclockwise angle between the third tangent and the horizontal line, i.e., an angle required to be passed to change from the third tangent to the horizontal line. Since the pressure-time curve should be a horizontal straight line when the gas supply-demand equilibrium is reached, and the time axis is practically horizontal, the second pressure variation angle can be determined by determining the angle between the third tangent and the time axis. For example, as shown in FIG. 3, α ' is the clockwise angle between the third tangent of the first pressure-time curve at the current time point and the time axis, and β ' is the second pressure change angle, which is equal to 180 ° - α '.
At step 406, one or more air compressors of the air compressor station that are required to perform the control operation (i.e., the control operation determined at step 204) are matched based on the first pressure change angle and the second pressure change angle predicted for each air compressor.
Step 406 may include determining a predicted first pressure change angle for each air compressor and data from a sum of two or more first pressure change angles that is closest to the second pressure change angle. Step 406 may also include determining one or more air compressors associated with the closest data as the one or more air compressors needed to perform the control operation. Through these steps, the best solution for currently performing the corresponding control operation (i.e., the control operation determined in step 204) can be determined, thereby helping to avoid resource waste and achieving the purpose of improving the device management efficiency.
At step 408, it is determined whether the length of time (i.e., the length of time determined at step 402) is less than the minimum reaction time of the reaction times for the matched air compressor or compressors to perform the control operation.
At step 410, in response to determining that the length of time (i.e., the length of time determined at step 402) is less than the minimum reaction time of the reaction times for the matched one or more air compressors to perform the control operation, the matched one or more air compressors are caused to perform the control operation.
Through steps 408 and 410, the time for the one or more matched air compressors to execute the control operation can be limited to the time when the pressure at the main pipe is close to the upper limit pressure or the lower limit pressure (specifically, the time for the starting operation of the air compressors is limited to the time when the pressure at the main pipe is close to the lower limit pressure, and the time for the shutdown operation of the air compressors is limited to the time when the pressure at the main pipe is close to the upper limit pressure), so that frequent starting and stopping of the air compressors can be avoided, and the purpose of further realizing energy saving of the air compression station can be achieved.
On the other hand, in response to determining that the length of time is greater than or equal to the minimum reaction time of the reaction times of the matched one or more air compressors to perform the control operation determined in step 402, the process returns to step 402 until the corresponding length of time is less than the minimum reaction time of the reaction times of the matched one or more air compressors to perform the control operation.
Through adopting above technical means, this disclosure can avoid the air compressor machine to frequently open and stop, and then avoids the wasting of resources, can reach the energy-conserving and improve equipment management benefit's of air compression station purpose moreover.
Fig. 5 shows a flow diagram of a method 500 for determining a sample pressure change angle according to an embodiment of the disclosure. Method 500 may be performed by air compressor control apparatus 110 as shown in fig. 1, or may be performed at electronic apparatus 600 as shown in fig. 6. It should be understood that method 500 may also include additional blocks not shown and/or may omit blocks shown, as the scope of the disclosure is not limited in this respect.
At step 502, a third pressure time curve is curve-fitted based on the plurality of first sample pressures.
As described above, the plurality of first sample pressures are pressures collected at the main pipe before the control operation is performed on the air compressor whose state data belongs to the first state data based on the current sample state data. Therefore, the pressure curve of the air compressor before the control operation can be fitted based on the first sample pressures. Specifically, the curve fitting method in step 502 may be similar to the curve fitting method for the first pressure-time curve in step 202, and is not further described herein.
At step 504, a fourth pressure-time curve is curve-fitted based on the plurality of second sample pressures.
As described above, the plurality of second sample pressures are pressures collected at the main pipe after the air compressor, which belongs to the first state data based on the current sample state data, performs the control operation. Therefore, a pressure curve of the air compressor before the control operation can be fitted based on the second sample pressures. Specifically, the curve fitting method in step 504 may be similar to the curve fitting method for the first pressure-time curve in step 202, and is not further described herein.
At step 506, a first angle between a tangent of the third pressure-time curve at the intersection with the fourth pressure-time curve and the time axis is determined.
At step 508, a second angle between a tangent to the fourth pressure-time curve at the intersection with the third pressure-time curve and the time axis is determined.
At step 510, a corresponding sample pressure change angle is determined based on the first angle and the second angle.
The sample pressure change angle in the method 500 actually refers to the counterclockwise tangent angle from the first pressure time curve to the fourth pressure time curve at the intersection point thereof, i.e., the angle that needs to be passed to change from the first pressure time curve to the fourth pressure time curve at the intersection point. Thus, the sample pressure change angle may be determined, for example, based on the following formula β =180 ° - α - γ, where β is the sample pressure change angle, a is the clockwise angle between the tangent of the third pressure time curve at the intersection and the time axis (i.e., the first angle), and γ is the clockwise angle between the time axis and the tangent of the fourth pressure time curve at the intersection (i.e., the second angle).
In the present disclosure, such a sample pressure change included angle needs to be determined for each sample data set, so that a pressure change included angle model can be trained based on the sample pressure change included angle and other sample data in the sample data set, so as to accurately predict a first pressure change included angle of each air compressor in the air compression station.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. For example, the air compressor control apparatus 110 shown in fig. 1 may be implemented by the electronic apparatus 600. As shown, electronic device 600 includes a Central Processing Unit (CPU) 601 that can perform various appropriate actions and processes according to computer program instructions stored in a Read Only Memory (ROM) 602 or loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the random access memory 603, various programs and data required for the operation of the electronic apparatus 600 can also be stored. The central processing unit 601, the read only memory 602, and the random access memory 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the electronic device 600 are connected to the input/output interface 605, including: an input unit 606 such as a keyboard, a mouse, a microphone, and the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The various processes and processes described above, such as methods 200, 400, and 500, may be performed by central processing unit 601. For example, in some embodiments, methods 200, 400, and 500 may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the read only memory 602 and/or the communication unit 609. When the computer program is loaded into the random access memory 603 and executed by the central processing unit 601, one or more of the actions of the methods 200, 400 and 500 described above may be performed.
The present disclosure relates to methods, apparatuses, systems, electronic devices, computer-readable storage media and/or computer program products. The computer program product may include computer-readable program instructions for performing various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be interpreted as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge computing devices. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
These computer-readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A method for controlling an air compressor in an air compression station, the method comprising:
curve fitting a first pressure-time curve based on a plurality of pressures collected at the parent tube prior to a current time point;
determining control operation to be executed based on the first pressure-time curve, wherein the control operation comprises air compressor starting operation or air compressor shutdown operation;
predicting a first pressure change included angle which is generated when the air compressors execute the control operation for each air compressor in the air compression station based on a trained pressure change included angle model, wherein the first pressure change included angle refers to an anticlockwise tangent included angle of a first pressure time curve and a second pressure time curve which is formed after the air compressors execute the control operation at an intersection point;
determining the reaction time of each air compressor in the air compression station for executing the control operation; and
determining one or more air compressors in the air compression station which need to execute the control operation and the time for the one or more air compressors to execute the control operation based on the first pressure-time curve, the predicted first pressure change included angle for each air compressor and the determined reaction time;
determining one or more air compressors in the air compression station that are required to perform the control operation and the time for the one or more air compressors to perform the control operation based on the first pressure-time curve, the predicted first pressure change angle for each air compressor, and the determined reaction time comprises:
determining a length of time required to change from the pressure of the parent pipe at a current point in time to an upper or lower pressure limit of the parent pipe based on the first pressure-time curve;
determining a second pressure change included angle required for achieving stable gas supply and demand based on an included angle between a third tangent line of the first pressure-time curve at the current time point and the time axis, wherein the second pressure change included angle represents an anticlockwise included angle between the third tangent line and a horizontal straight line;
matching one or more air compressors in the air compression station, which need to execute the control operation, based on the first pressure change included angle and the second pressure change included angle predicted for each air compressor; and
in response to determining that the length of time is less than a minimum reaction time of reaction times of the matched one or more air compressors to perform the control operation, causing the matched one or more air compressors to perform the control operation;
based on a first pressure change included angle and the second pressure change included angle predicted for each air compressor, matching one or more air compressors in the air compression station that need to perform the control operation includes:
determining data which is closest to the second pressure change included angle in the first pressure change included angle predicted for each air compressor and the sum of two or more first pressure change included angles; and
determining one or more air compressors associated with the closest data as one or more air compressors required to perform the control operation.
2. The method of claim 1, wherein determining, based on the first pressure-time curve, a length of time required to change from a pressure of the parent pipe at a current point in time to a preset upper or lower pressure limit comprises:
determining a point in time at which the pressure at the parent pipe reaches a preset upper or lower pressure limit based on a mathematical model of the first pressure-time curve;
and subtracting the determined time point from the current time point to obtain the time length.
3. The method of claim 1, wherein determining, based on the first pressure-time profile, a control operation to be performed comprises:
determining that no control operation is required if the first pressure-time curve is a horizontal straight line;
if the first pressure-time curve is in a descending trend, determining that the control operation to be executed is the starting operation of the air compressor;
and if the first pressure time curve is in an ascending trend, determining that the control operation to be executed is the shutdown operation of the air compressor.
4. The method of claim 1, wherein predicting, for each air compressor in the air compression station, a first included pressure change angle that would result if the control operation was performed by the air compressor based on a trained included pressure change angle model comprises:
determining power data and state data of the air compressor when the air compressor executes the control operation;
acquiring power data and state data of each other air compressor except the air compressor at the current time point in the air compression station;
acquiring environmental temperature data and environmental humidity data of a current time point;
and determining a corresponding first pressure change included angle for the air compressor based on the determined power data and state data of the air compressor, the obtained power data and state data of each other air compressor, the environment temperature data, the environment humidity data and the trained pressure change included angle model.
5. The method of claim 1 or 4, wherein the included angle of pressure change model is trained using a regression algorithm based on a plurality of sample data sets, each sample data set comprising associated sample ambient temperature data, sample ambient humidity data, sample power data of each air compressor in the air compressor station, sample state data of each air compressor in the air compressor station, and a corresponding sample included angle of pressure change, and in each sample data set, the sample state data of only one air compressor is first state data indicating that the air compressor is performing an air compressor on operation or an air compressor off operation, and the state data of the other air compressors is second state data indicating that the air compressor is operating or stopped, the regression algorithm comprising any one of a gradient descent method, a limit gradient ascent algorithm, a lightweight gradient ascent algorithm, or a random forest algorithm.
6. The method of claim 5, wherein the sample pressure change angle in each sample data set is determined based on a first plurality of sample pressures collected by an air compressor having sample state data belonging to first state data at the main pipe before the control operation is performed and a second plurality of sample pressures collected by the air compressor at the main pipe after the control operation is performed, with the associated sample ambient temperature data, sample ambient humidity data, sample power data, and associated second state data remaining unchanged.
7. The method of claim 6, wherein the sample pressure change included angle in each sample data set is determined based on a plurality of first sample pressures collected by the air compressor at the main pipe before the control operation is executed and a plurality of second sample pressures collected by the air compressor at the main pipe after the control operation is executed, wherein the sample pressure change included angle in each sample data set is determined based on a plurality of first sample pressures collected by the air compressor at the main pipe before the control operation is executed, and the sample pressure change included angle in each sample data set comprises:
curve fitting a third pressure-time curve based on the plurality of first sample pressures;
curve fitting a fourth pressure-time curve based on the plurality of second sample pressures;
determining a first angle between a tangent of the third pressure-time curve at the intersection with the fourth pressure-time curve and the time axis;
determining a second angle between a tangent to the fourth pressure-time curve at the intersection with the third pressure-time curve and the time axis; and
and determining a corresponding sample pressure change included angle based on the first included angle and the second included angle.
8. The method of claim 1, wherein curve fitting the first pressure-time curve based on a plurality of pressures acquired at the parent tube prior to the current time point comprises curve fitting the first pressure-time curve based on a plurality of pressures acquired at the parent tube prior to the current time point using a regression algorithm, the regression algorithm comprising either a least squares method or a gradient descent method.
9. A computing device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor;
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
10. A non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1-8.
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