CN114017300A - Intelligent group control method and system for air compressor unit - Google Patents
Intelligent group control method and system for air compressor unit 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
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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
- F04B41/00—Pumping installations or systems specially adapted for elastic fluids
- F04B41/06—Combinations of two or more pumps
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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
- F04B49/02—Stopping, starting, unloading or idling control
- F04B49/022—Stopping, starting, unloading or idling control by means of pressure
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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
- F04B49/08—Regulating by delivery pressure
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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
- F04B49/10—Other safety measures
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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
- F04B2207/00—External parameters
- F04B2207/03—External temperature
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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
- F04B2207/00—External parameters
- F04B2207/70—Warnings
- F04B2207/701—Sound
-
- 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
- F04B2207/00—External parameters
- F04B2207/70—Warnings
- F04B2207/702—Light
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Abstract
The invention discloses an intelligent group control method and system for an air compressor unit, wherein the method comprises the following steps: setting air compressor control schemes under different preset demand conditions according to a linear interpolation algorithm function and a preset mapping relation between an air compressor and priority assignment; according to the air compressor control schemes under different preset demand conditions, performing work control on each air compressor in the air compressor unit; and collecting air supply pressure data of the air compressor unit and working state data of each air compressor, and judging whether the air supply pressure data are in a preset interval. The air compressor set can solve the problems that the air compressor set in the prior art cannot adapt to various working condition changes and provide relatively stable air supply pressure, and further the air compressor set can find a balance point among the energy-saving operation, the stable operation and the stable air supply pressure of the air compressor according to the change of the environmental information.
Description
Technical Field
The invention belongs to the field of electromechanical electrical control, and particularly relates to an intelligent group control method and system for an air compressor unit.
Background
In order to meet the requirement of users with large gas consumption, an air compression station generally needs to be provided with a plurality of air compressors, and an air compressor unit has the characteristics of continuous operation, stable gas supply and large power supply current, so that the energy-saving safe and stable operation of the air compressor unit has huge economic and safety benefits.
At present, the automatic control of the air compressor unit is mainly realized by automatically starting, stopping, loading and unloading according to the compressed air pressure of an air storage tank. One of the flow control methods is that a flow meter and a pressure gauge are arranged on an air outlet pipeline, the air outlet quantity of the system is calculated, the number of the operating air compressors and the output power of the frequency converter are increased or decreased according to the air consumption, the no-load rate of the air compressors is reduced, and the effect of energy-saving and voltage-stabilizing operation is achieved; the other method is a time delay control method based on the pressure change trend, the compressed air pressure of the air storage tank is compared with a set threshold value, and then the compressed air pressure change trend is assisted, so that the starting and stopping and unloading of the air compressor can be carried out after a certain time, the action frequency of the air compressor is reduced, and the impact on mechanical and electrical systems is reduced.
However, in the prior art, the flow control method is easy to cause that the service life of an air compressor system is seriously influenced by mechanical and electrical impact overfrequency because the air consumption changes frequently and the air compressor is started and stopped and loaded too frequently; the time delay control method of the pressure change trend relieves the problem of frequent action of the air compressor, but the pressure change inertia caused by time delay enables the air supply pressure of the system to often exceed the target range, and reduces the air supply quality; meanwhile, the optimal balance between stable air supply pressure and energy-saving and stable operation of the air compressor and the influence of external environmental factors on a balance point are not considered in the control method.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent group control method and system for an air compressor unit, which can lead the air compressor unit to adapt to various working condition changes and provide stable air supply pressure according to air compressor control schemes under different requirements.
Further, the air compressor unit can find the balance point between the energy-saving operation, the stable operation and the stable air supply pressure of the air compressor according to the change of the environmental information.
In order to solve the technical problem, the invention provides an intelligent group control method for an air compressor unit, which comprises the following steps:
setting air compressor control schemes under different preset demand conditions according to a linear interpolation algorithm function and a preset mapping relation between an air compressor and priority assignment; each air compressor control scheme corresponds to a preset demand condition, and the air compressor control scheme records the sequencing result of the serial number of each air compressor according to priority assignment;
according to the air compressor control schemes under different preset demand conditions, performing work control on each air compressor in the air compressor unit;
collecting air supply pressure data of an air compressor unit and working state data of each air compressor, and judging whether the air supply pressure data are in a preset interval or not;
if so, keeping the current working state of each air compressor;
otherwise, adjusting the current working state of each air compressor according to the working state data of each air compressor.
Further, still include:
and the control scheme of the air compressor is switched by a timer according to preset switching time.
Further, still include:
stopping the air compressors reaching the preset dead time according to the working state data and the environmental information of each air compressor, and triggering corresponding sound and light alarm when the working state data of the air compressors are abnormal; the environment information comprises environment temperature and humidity, current working time and air compressor unit cooling water temperature.
Further, according to the working state data and the environmental information of each air compressor, the air compressor with the empty load reaching the preset time is stopped, specifically:
analyzing the quantitative indexes of the air supply pressure fluctuation according to the working state data and the environmental information of each air compressor, further setting the shutdown time of the air compressors, and stopping the air compressors reaching the preset dead time; the air compressor off-time and the air supply pressure fluctuation quantitative index are positively correlated with the environment temperature and humidity, and the air compressor off-time and the current working time are in a periodic function relationship.
Further, according to the operating state data of each air compressor, adjust the current operating state of each air compressor, specifically be:
when the air supply pressure data are in a preset interval, controlling the air compressors with frequency converters to adjust through the frequency converters according to the working state data of the air compressors, so that the air supply pressure data are kept in a median region of the preset interval; wherein, only one air compressor machine in the air compressor unit is equipped with the converter.
Further, the control is equipped with the air compressor machine of converter and adjusts through the converter, specifically is:
and controlling the output frequency of the air compressor provided with the frequency converter, which is calculated by a PID algorithm, according to the air supply pressure to be adjusted, so that the frequency converter can be adjusted.
Further, still include: dividing the data into a preset interval, a suboptimal interval, a deviation interval and an overrun interval according to a preset air supply pressure data interval division rule;
when the air supply pressure data is in a suboptimal interval and is kept for a preset time, loading or unloading the air compressors which accord with the preset working state data according to the working state data of each air compressor and the quantitative index of air supply pressure change so as to restore the air supply pressure to the preset interval;
when the air supply pressure data is in a deviation interval, setting delayed starting or delayed unloading of the air compressors which accord with the preset working state data according to the working state data of each air compressor and the change rate and direction of the air supply pressure so as to restore the air supply pressure to the preset interval; wherein the duration of the delay is inversely related to the rate of change of the supply air pressure;
and when the air supply pressure data is in the overrun interval, starting a standby air compressor or stopping all running air compressors, and sending alarm information.
Meanwhile, the invention also provides an intelligent group control system of the air compressor unit, which is used for executing the intelligent group control method of the air compressor unit and comprises the following steps: an intelligent control algorithm platform;
the intelligent control algorithm platform is used for counting, analyzing and processing working data information and environmental information of the air compressor unit and sending out related control information instructions, and comprises a state analysis module, an air compressor sequencing control module, a pressure grading control module, an intelligent air long-term shutdown module and an alarm information module;
the state analysis module is used for receiving working signals of all air compressor units in the air compressor units, analyzing the operating conditions of the working signals of all the air compressor units and obtaining the working state data of each air compressor;
the air compressor sequencing control module is used for sequencing the priority of the air compressor according to a linear interpolation algorithm function and carrying out timing switching on a sequencing scheme; each air compressor sequencing scheme corresponds to one air compressor unit control scheme, and each air compressor control scheme records the sequencing result of the serial number of each air compressor according to the priority assignment; the sequencing scheme is switched at regular time, so that the effect of regularly switching the air compressor can be achieved;
the pressure grading control module is used for controlling the air compressors with frequency converters to adjust through the frequency converters according to the working state data of the air compressors when the air supply pressure data exceed a preset interval, so that the air supply pressure data are kept in a median region of the preset interval;
the intelligent air-to-air long-time shutdown module is used for analyzing the quantitative indexes of air supply pressure fluctuation according to the working state data and the environmental information of each air compressor, further setting the shutdown time of the air compressors and shutting down the air compressors reaching the preset unloading time; the environment information comprises environment temperature and humidity, current working time and air compressor unit cooling water temperature, the air compressor shutdown time is positively correlated with an air supply pressure fluctuation quantization index, and the air compressor shutdown time and the current working time are in a periodic function relation;
and the alarm information module is used for triggering corresponding acousto-optic alarm when the working state data of the air compressor is abnormal.
Further, the pressure staging control module is further configured to: dividing the data into a preset interval, a suboptimal interval, a deviation interval and an overrun interval according to a preset air supply pressure data interval division rule;
when the air supply pressure data is in a suboptimal interval and is kept for a preset time, loading or unloading the air compressors which accord with the preset working state data according to the working state data of each air compressor and the air supply pressure fluctuation quantization index so as to restore the air supply pressure to the preset interval;
when the air supply pressure data is in a deviation interval, setting time delay starting of the air compressors which accord with the preset working state data according to the working state data of each air compressor and the change rate and direction of the air supply pressure so as to enable the air supply pressure to be restored to the preset interval; wherein the time length of the delayed start is inversely related to the air supply pressure change rate;
and when the air supply pressure data is in the overrun interval, starting a standby air compressor or stopping all running air compressors, and sending alarm information.
Further, still include: the system comprises a gas storage and transmission subsystem, a signal acquisition subsystem and a control system platform;
the air storage and transmission subsystem is used for storing and transmitting air of the air compressor unit;
the signal acquisition subsystem is used for acquiring environmental information, air supply pressure in the air compressor unit and working signals of the air compressor and auxiliary equipment thereof and transmitting the working signals to the control system platform;
and the control system platform is used for obtaining the related control information instruction through an intelligent control algorithm platform and controlling the action and the output information of each air compressor.
Setting air compressor control schemes under different preset demand conditions according to a linear interpolation algorithm function and a preset mapping relation between an air compressor and priority assignment; each air compressor control scheme corresponds to a preset demand condition, and the air compressor control scheme records the sequencing result of the serial number of each air compressor according to priority assignment;
according to the air compressor control schemes under different preset demand conditions, performing work control on each air compressor in the air compressor unit;
collecting air supply pressure data of an air compressor unit and working state data of each air compressor, and judging whether the air supply pressure data are in a preset interval or not;
if so, keeping the current working state of each air compressor;
otherwise, adjusting the current working state of each air compressor according to the working state data of each air compressor.
Further still include:
and the control scheme of the air compressor is switched by a timer according to preset switching time.
Further, still include:
and stopping the air compressors unloaded for the preset unloading time according to the working state data of the air compressors, and triggering corresponding sound and light alarms when the working state data of the air compressors are abnormal.
Further, according to the working state data of each air compressor, the air compressor which keeps the unloading state time to reach the preset unloading time is shut down, and the method specifically comprises the following steps:
analyzing the air supply pressure fluctuation quantization index and the environmental information according to the working state data of each air compressor, further adjusting the idle running and outage time of the air compressors, and shutting down the air compressors unloaded for the preset unloading time; the air compressor shutdown time is positively correlated with the sum of the air supply pressure fluctuation quantization index and the environmental factor quantization index. The supply air pressure fluctuation quantization index is a positive correlation function of the pressure deviation from the preset interval amplitude and the pressure change rate, and the environmental factor quantization index is a positive correlation function of the environmental temperature, the humidity and the cooling water temperature which influence the heat dissipation of the air compressor.
The embodiment of the application has the following beneficial effects:
compared with the prior art, the air compressor intelligent group control method and the air compressor intelligent group control system can carry out work control on the air compressor according to air compressor control schemes under different demand conditions, can enable each air compressor in the air compressor to reasonably operate, can record the working state data of the air compressor in real time according to the air supply pressure data of the air compressor, can timely adjust the current working state of the air compressor when the air supply pressure is not in a preset interval, provide stable air supply pressure, and find a balance point between the energy-saving operation, the stable operation and the stable air supply pressure of the air compressor according to the change of environmental information.
Drawings
Fig. 1 is a flowchart illustrating steps of an intelligent group control method for an air compressor unit according to an embodiment of the present invention;
fig. 2 is a structural diagram of an intelligent group control system of an air compressor unit according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions in the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings. It should be understood that the embodiments described herein are only a few embodiments of the present invention, not all embodiments, and are not intended to limit the present invention. Other embodiments, which can be derived by those skilled in the art from the embodiments given herein without any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent group control method for an air compressor set according to an embodiment of the present invention includes the following steps:
s101: setting air compressor control schemes under different preset demand conditions according to a linear interpolation algorithm function and a preset mapping relation between an air compressor and priority assignment; each air compressor control scheme corresponds to a preset demand condition, and the sequencing result of the serial numbers of the air compressors assigned according to the priority is recorded in each air compressor control scheme.
In this embodiment, air compressor control schemes under different preset demand conditions are set, uniqueness priority assignment is performed on any one air compressor in the air compressor unit, and the uniqueness priority assignment is realized through linear function modules in the air compressor unit distributed control system platform DCS, each function can represent one air compressor control scheme, and a plurality of functions represent the air compressor control schemes respectively.
The preset mapping relation between the air compressor and the priority assignment is determined according to the characteristics and requirements of the system, including but not limited to individualized design according to the power load of the air compressor, so that the effect of balancing the power load of the upper level is achieved.
In each air compressor control scheme, the priority of each air compressor is unique.
S102: and according to the control scheme of the air compressors under different preset demand conditions, the work of each air compressor in the air compressor unit is controlled.
In this embodiment, the air compressor unit control system platform performs work control on each air compressor according to the air compressor control scheme under different preset demand conditions.
Further, still include: and the control scheme of the air compressor is switched by a timer according to preset switching time.
In this embodiment, the air compressor control scheme realizes automatic switching through a timer, and the switching mode is the whole air compressor control scheme. Because the priority in each air compressor control scheme is different, the air compressor that is reserved for a long time will inevitably become the air compressor of preferred operation because of the change of priority to reach the purpose of automatic switch-over air compressor control scheme, guarantee the good redundant stand-by performance of air compressor unit.
S103: collecting air supply pressure data of an air compressor unit and working state data of each air compressor, and judging whether the air supply pressure data are in a preset interval or not; if so, keeping the current working state of each air compressor; otherwise, adjusting the current working state of each air compressor according to the working state data of each air compressor.
In this embodiment, the collected air supply pressure data of the air compressor unit and the working state data of each air compressor are the pressure in the main pipe of the air compressor unit, and the obtained working state data include, but are not limited to, switching value state information of the air compressor which is most suitable for operation at present, the air compressor which is most suitable for shutdown at present, the air compressor which is most suitable for unloading at present, the air compressor which is most suitable for loading at present, and the like, analog quantity state information of the main pipe pressure, the main pipe change rate, the loading/unloading/standby time duration, and the like, and parameter setting information of the main pipe partition interval, the operation/idle load/standby time, and the like.
In this embodiment, it is determined whether the air supply pressure data is within a preset interval, where the preset interval is a range interval of the optimal air supply pressure; if so, keeping the current working state of each air compressor; otherwise, adjusting the current working state of each air compressor according to the working state data of each air compressor.
Further, when the air supply pressure data are in a preset interval, controlling the air compressors with frequency converters to adjust through the frequency converters according to the working state data of the air compressors, so that the air supply pressure data are kept in a median region of the preset interval; wherein, only one air compressor in the air compressor unit is provided with a frequency converter; the air supply pressure data exceeds the range interval of the optimal air supply pressure, the air compressor with the frequency converter is controlled to calculate the output frequency through a PID algorithm according to the working state data of the air compressor and the air supply pressure to be adjusted, and the output frequency of the frequency converter is adjusted so that the air supply pressure data is restored to the preset interval.
Further, according to a preset air supply pressure data interval division rule, the interval is divided into a preset interval, a suboptimal interval, a deviation interval and an overrun interval, and the air supply pressure change condition is quantitatively analyzed, namely H2/H1/H0/L0/L1/L2 multi-level threshold values are set, H0-L0 are range intervals of the optimal air supply pressure, H0-H1 and L1-L0 are suboptimal intervals, H1-H2 and L2-L1 are deviation intervals, and intervals smaller than L2 and larger than H2 are overrun intervals.
When the air supply pressure data is in a suboptimal interval and is kept for a preset time, loading or unloading the air compressors which accord with the preset working state data according to the working state data of each air compressor so as to restore the air supply pressure to the preset interval; when the air supply pressure data is in a range from H0 to H1, namely the air supply pressure is too high, unloading the air compressor which meets the preset working state data; and when the air supply pressure is L1-L0, namely the air supply pressure is too low, loading the air compressor which meets the preset working state data.
When the air supply pressure data is in a deviation interval, setting time delay starting of the air compressors which accord with the preset working state data according to the working state data of each air compressor and the change rate and direction of the air supply pressure so as to enable the air supply pressure to be restored to the preset interval; wherein the time length of the delayed start is inversely related to the air supply pressure change rate; when the air supply pressure data is in a range from H1 to H2, namely the air supply pressure is too high, setting the delayed start of the air compressor which accords with the preset working state data according to the change rate and the direction of the air supply pressure, wherein the longer the delayed start time is, the air supply pressure is reduced due to the insufficient power of the current air compressor; when the air supply pressure data is in the range from L2 to L1, namely the air supply pressure is too low, the air compressor which is in accordance with the preset working state data is set to be started in a delayed manner according to the air supply pressure change rate and direction, and the shorter the time for starting in a delayed manner is, the air supply pressure rises due to the fact that the number of the air compressors which are operated is increased in time.
When the air supply pressure data is in the overrun interval, starting a standby air compressor or stopping all running air compressors and sending alarm information; when the air supply pressure data is in an interval smaller than L2, namely the air supply pressure is too low, starting a standby air compressor and giving an alarm; when the air supply pressure data is in an interval larger than H2, namely the air supply pressure is too high, all the running air compressors are stopped, and an alarm is given.
In the embodiment, based on multi-dimensional coordination control such as a multi-level pressure threshold, air supply trend change and delay self-adjustment, air supply pressure change conditions are quantitatively analyzed, two different modes of adjusting a frequency converter or starting and stopping an air compressor are selected to participate in pressure adjustment in different intervals and at different change rates of air supply pressure, different delay settings are adopted, so that the air compressor unit can pertinently adjust the starting delay duration under different working conditions, and the starting and stopping of the air compressor are reduced.
Further, still include: and stopping the air compressors reaching the preset dead time according to the working state data of the air compressors, and triggering corresponding sound and light alarms when the working state data of the air compressors are abnormal.
In the embodiment, according to the working state data and the environmental information of each air compressor, the quantitative index of the air supply pressure fluctuation is analyzed, so that the shutdown time of the air compressor is adjusted, the air compressor reaching the preset dead time is shutdown, when the air supply pressure is downward, the time delay time of the air compressor cannot trigger timing, and the start-stop impact of the air compressor is reduced as much as possible; when the air supply pressure rises, the time delay time of the air compressor starts to be timed; the environment information is information influencing the heat dissipation of the air compressor, and includes but is not limited to environment temperature and humidity, cooling water temperature and current working time; the air compressor shutdown time is positively correlated with the air supply pressure fluctuation quantitative index, and the fluctuation quantitative index is the average value of the deviation amplitude of the main pipe pressure and the median value in the optimal interval in a certain time and the change rate of the main pipe pressure, so that the air compressor unit can adjust the time length of the long-term shutdown delay in air in a targeted manner under different working conditions, the start and stop of the air compressor are reduced, and the no-load rate is reduced.
Meanwhile, an embodiment of the present invention further provides an intelligent group control system for an air compressor unit, which is configured to execute the above intelligent group control method for an air compressor unit, and includes: the intelligent control algorithm platform 200, the gas storage and transmission subsystem 220, the signal acquisition subsystem 230 and the control system platform 240.
The gas storage and transportation subsystem 220 is used for storing and transporting air compressor unit gas.
The signal acquisition subsystem 230 is used for acquiring environmental information, air supply pressure in the air compressor unit and working signals of the air compressor and auxiliary equipment thereof, and transmitting the working signals to the control system platform.
The control system platform 240 is used for obtaining the related control information command through the intelligent control algorithm platform, and controlling the action and the output information of each air compressor.
The intelligent control algorithm platform 200 is used for counting, analyzing and processing the working data information of the air compressor set and sending out related control information instructions, and comprises a state analysis module 201, an air compressor sequencing control module 202, a pressure grading control module 203, an intelligent air-conditioning long-term shutdown module 204 and an alarm information module 205.
The intelligent control algorithm platform 200 obtains an optimal control result by adopting an air compressor control scheme, pressure classification, delay control and intelligent scheduling, and controls the action of each air compressor and the output information of a control system.
The state analysis module 201 is configured to receive working signals of all air compressor units in the air compressor units, and analyze operation conditions of the working signals of all air compressor units to obtain working state data of each air compressor.
In this embodiment, the working signals of all the air compressor units are received, statistics and analysis are performed, the analysis result is sent to the function calculation module and the control platform, and the calculation result forms an action instruction and is sent to the control system platform 240 and the air compressor units.
The state analysis module 201 receives working signals of all air compressor units in the air compressor units, including but not limited to air compressor serial numbers, priorities, operation, stop, loading, unloading, remote manual operation, remote automatic, local control, local fault, start permission, load permission, air supply pressure, air supply temperature, storage tank pressure, control system clock information, and obtains accumulated loading time, start and stop times, no-load rate, air supply pressure change conditions and any air compressor working state data of one air compressor through logic and mathematical operation; the description of the air supply pressure comprises ascending, descending, high speed, low speed and stable state; the air compressor working state data comprises an air compressor which is most suitable for starting at present, an air compressor which is most suitable for loading at present, an air compressor which is most suitable for unloading at present and an air compressor which is most suitable for stopping at present.
In another embodiment, the "air compressor which is most suitable to be started at present" in the air compressor operation state data is the highest priority of the air compressors which satisfy the following conditions: normal no alarm, remote automatic, no-load and shutdown state, and start permission.
The air compressor sequencing control module 202 is used for sequencing the priority of the air compressor according to a linear interpolation algorithm function and performing timing switching on a sequencing scheme; each air compressor sequencing scheme corresponds to one air compressor unit control scheme, and each air compressor control scheme records the sequencing result of the serial number of each air compressor according to the priority assignment; the sequencing scheme is switched at regular time, so that the effect of regularly switching the air compressor can be achieved.
The air compressor sequencing control module 202 assigns the air compressor priority through the air compressor number and can realize the assignment through a linear interpolation algorithm function, and the plurality of linear interpolation algorithm functions correspond to a plurality of air compressor control schemes; in the same time, the priority of any air compressor is unique; in the whole period, the priority of all the air compressors only contains the condition that the priority is close to the front and the rear, so that the use balance of all the air compressors is ensured. The control scheme of the air compressor is switched by the preset switching time of the counter, wherein the preset switching time can be determined according to the actual operation condition of the air compressor.
The pressure grading control module 203 is used for adjusting the air compressors in each work through respective frequency converters according to the working state data of each air compressor when the air supply pressure data exceeds the preset interval, so that the air supply pressure data is restored to the preset interval.
Further, the pressure staging control module 203 is further configured to: and according to a preset air supply pressure data interval division rule, dividing the data interval into a preset interval, a suboptimal interval, a deviation interval and an overrun interval.
And when the air supply pressure data is in a suboptimal interval and is kept for a preset time, loading or unloading the air compressors which accord with the preset working state data according to the working state data of each air compressor so as to restore the air supply pressure to the preset interval.
When the air supply pressure data is in a deviation interval, setting time delay starting of the air compressors which accord with the preset working state data according to the working state data of each air compressor and the change rate and direction of the air supply pressure so as to enable the air supply pressure to be restored to the preset interval; wherein the time length of the delayed start is inversely related to the air supply pressure change rate.
And when the air supply pressure data is in the overrun interval, starting a standby air compressor or stopping all running air compressors, and sending alarm information.
The pressure grading control module 203 introduces the pressure multi-level threshold setting, the change direction and speed of the air supply pressure can be quantified by using a differential algorithm, the air supply pressure fluctuation condition is quantified by using a time domain statistical algorithm, and then the system automatically adjusts the start delay and the air-out operation delay to achieve the effect of adapting to the working condition change.
The intelligent air-to-air shutdown module 204 is used for analyzing the air supply pressure fluctuation quantization indexes according to the working state data of each air compressor, further adjusting the shutdown time of the air compressor, and shutting down the air compressor unloaded for the preset unloading time; and the shutdown time of the air compressor is positively correlated with the supply air pressure fluctuation quantization index.
In the embodiment, the idle and long outage time is 5-15 min, and the quantitative index of the air supply pressure fluctuation is the average value of the deviation amplitude of the pressure of the bus and the median value in the optimal interval within a certain time.
The alarm information module 205 is configured to trigger a corresponding sound-light alarm when the data of the working state of the air compressor is abnormal.
In this embodiment, the data abnormality of the working state of the air compressor includes abnormal working conditions such as instruction failure, trip or other alarm information, and corresponding alarm is triggered, the alarm information sends out audible and visual alarm on the one hand and is displayed on a monitoring picture for an operator to judge, and on the other hand, the alarm information can be sent to the state analysis module, so that the output of the subsequent function calculation module is influenced, and the air compressor with abnormality participates or does not participate in the operation of some function sub-modules according to the abnormal type, so as to realize intelligent closed-loop control.
The embodiment of the invention has the following effects:
the embodiment of the invention provides an intelligent group control method and system for air compressor units, wherein the effect of balanced use of each air compressor in the air compressor unit is realized by setting air compressor control schemes under different requirements for each air compressor in the air compressor unit, the effect of adapting to working condition change is achieved by introducing multistage threshold setting of air supply pressure, comprehensive state information description is provided for working state data of the air compressors, so that the intelligent control level is obviously improved, and the intelligent air long-term shutdown module and the pressure classification module are cooperatively controlled, so that the air supply pressure of the system is stabilized in a narrow range, the air supply pressure fluctuation can be stabilized as much as possible when the air supply load fluctuation occurs, the service life of equipment is prevented from being influenced by frequent startup and shutdown of the air compressors, the high utilization rate of the running air compressors is maintained, and further, the air compressor units find an energy-saving running air compressor according to the change of environmental information, Stable operation and stable equilibrium point between the supply air pressure.
The foregoing is a preferred embodiment of the present invention, and it should be noted that it would be apparent to those skilled in the art that various modifications and enhancements can be made without departing from the principles of the invention, and such modifications and enhancements are also considered to be within the scope of the invention.
Claims (10)
1. An intelligent group control method for an air compressor unit is characterized by comprising the following steps:
setting air compressor control schemes under different preset demand conditions according to a linear interpolation algorithm function and a preset mapping relation between an air compressor and priority assignment; each air compressor control scheme corresponds to a preset demand condition, and the air compressor control scheme records the sequencing result of the serial number of each air compressor according to priority assignment;
according to the air compressor control schemes under different preset demand conditions, performing work control on each air compressor in the air compressor unit;
collecting air supply pressure data of an air compressor unit and working state data of each air compressor, and judging whether the air supply pressure data are in a preset interval or not;
if so, keeping the current working state of each air compressor;
otherwise, adjusting the current working state of each air compressor according to the working state data of each air compressor.
2. The intelligent group control method for the air compressor unit as claimed in claim 1, further comprising:
and the control scheme of the air compressor is switched by a timer according to preset switching time.
3. The intelligent group control method for the air compressor unit as claimed in claim 2, further comprising:
stopping the air compressors reaching the preset dead time according to the working state data and the environmental information of each air compressor, and triggering corresponding sound and light alarm when the working state data of the air compressors are abnormal; the environment information comprises environment temperature and humidity, current working time and air compressor unit cooling water temperature.
4. The intelligent group control method for the air compressor units according to claim 3, wherein the air compressors unloaded for the preset dead time are shut down according to the working state data and the environmental information of the air compressors, and specifically comprises the following steps:
analyzing the quantitative indexes of the air supply pressure fluctuation according to the working state data and the environmental information of each air compressor, further setting the shutdown time of the air compressors, and stopping the air compressors reaching the preset dead time; the air compressor off-time and the air supply pressure fluctuation quantitative index are positively correlated with the environment temperature and humidity, and the air compressor off-time and the current working time are in a periodic function relationship.
5. The intelligent group control method for the air compressor units according to claim 1, wherein the current operating state of each air compressor is adjusted according to the operating state data of each air compressor, specifically:
when the air supply pressure data are in a preset interval, controlling the air compressors with frequency converters to adjust through the frequency converters according to the working state data of the air compressors, so that the air supply pressure data are kept in a median region of the preset interval; wherein, only one air compressor machine in the air compressor unit is equipped with the converter.
6. The intelligent group control method for the air compressor units according to claim 5, wherein the control of the air compressors provided with the frequency converter is performed by adjusting the frequency converter, specifically:
and controlling the output frequency of the air compressor provided with the frequency converter, which is calculated by a PID algorithm, according to the air supply pressure to be adjusted, so that the frequency converter can be adjusted.
7. The intelligent group control method for the air compressor unit as claimed in claim 5, further comprising: dividing the data into a preset interval, a suboptimal interval, a deviation interval and an overrun interval according to a preset air supply pressure data interval division rule;
when the air supply pressure data is in a suboptimal interval and is kept for a preset time, loading or unloading the air compressors which accord with the preset working state data according to the working state data of each air compressor and the quantitative index of air supply pressure change so as to restore the air supply pressure to the preset interval;
when the air supply pressure data is in a deviation interval, setting delayed starting or delayed unloading of the air compressors which accord with the preset working state data according to the working state data of each air compressor and the change rate and direction of the air supply pressure so as to restore the air supply pressure to the preset interval; wherein the duration of the delay is inversely related to the rate of change of the supply air pressure;
and when the air supply pressure data is in the overrun interval, starting a standby air compressor or stopping all running air compressors, and sending alarm information.
8. An intelligent group control system of air compressor units, which is used for executing the intelligent group control method of the air compressor units according to any one of claims 1-7, and comprises the following steps: an intelligent control algorithm platform;
the intelligent control algorithm platform is used for counting, analyzing and processing working data information and environmental information of the air compressor unit and sending out related control information instructions, and comprises a state analysis module, an air compressor sequencing control module, a pressure grading control module, an intelligent air long-term shutdown module and an alarm information module;
the state analysis module is used for receiving working signals of all air compressor units in the air compressor units, analyzing the operating conditions of the working signals of all the air compressor units and obtaining the working state data of each air compressor;
the air compressor sequencing control module is used for sequencing the priority of the air compressor according to a linear interpolation algorithm function and carrying out timing switching on a sequencing scheme; each air compressor sequencing scheme corresponds to one air compressor unit control scheme, and each air compressor control scheme records the sequencing result of the serial number of each air compressor according to the priority assignment; the sequencing scheme is switched at regular time, so that the effect of regularly switching the air compressor can be achieved;
the pressure grading control module is used for controlling the air compressors with frequency converters to adjust through the frequency converters according to the working state data of the air compressors when the air supply pressure data exceed a preset interval, so that the air supply pressure data are kept in a median region of the preset interval;
the intelligent air-to-air long-time shutdown module is used for analyzing the quantitative indexes of air supply pressure fluctuation according to the working state data and the environmental information of each air compressor, further setting the shutdown time of the air compressors and shutting down the air compressors reaching the preset unloading time; the environment information comprises environment temperature and humidity, current working time and air compressor unit cooling water temperature, the air compressor shutdown time is positively correlated with an air supply pressure fluctuation quantization index, and the air compressor shutdown time and the current working time are in a periodic function relation;
and the alarm information module is used for triggering corresponding acousto-optic alarm when the working state data of the air compressor is abnormal.
9. The intelligent group control system of air compressor units according to claim 8, wherein the pressure classification control module is further configured to perform any one of the intelligent group control methods of air compressor units according to claims 1 to 7: dividing the data into a preset interval, a suboptimal interval, a deviation interval and an overrun interval according to a preset air supply pressure data interval division rule;
when the air supply pressure data is in a suboptimal interval and is kept for a preset time, loading or unloading the air compressors which accord with the preset working state data according to the working state data of each air compressor and the air supply pressure fluctuation quantization index so as to restore the air supply pressure to the preset interval;
when the air supply pressure data is in a deviation interval, setting time delay starting of the air compressors which accord with the preset working state data according to the working state data of each air compressor and the change rate and direction of the air supply pressure so as to enable the air supply pressure to be restored to the preset interval; wherein the time length of the delayed start is inversely related to the air supply pressure change rate;
and when the air supply pressure data is in the overrun interval, starting a standby air compressor or stopping all running air compressors, and sending alarm information.
10. The intelligent group control system of air compressor units according to claim 8, wherein the intelligent group control method of air compressor units according to any one of claims 1 to 7 is further implemented by: the system comprises a gas storage and transmission subsystem, a signal acquisition subsystem and a control system platform;
the air storage and transmission subsystem is used for storing and transmitting air of the air compressor unit;
the signal acquisition subsystem is used for acquiring environmental information, air supply pressure in the air compressor unit and working signals of the air compressor and auxiliary equipment thereof and transmitting the working signals to the control system platform;
and the control system platform is used for obtaining the related control information instruction through an intelligent control algorithm platform and controlling the action and the output information of each air compressor.
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