CN112610459A - Intelligent group control energy-saving system and method for air compressors - Google Patents
Intelligent group control energy-saving system and method for air compressors Download PDFInfo
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- 238000005265 energy consumption Methods 0.000 claims description 46
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- 238000007689 inspection Methods 0.000 claims description 14
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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
- F04B51/00—Testing machines, pumps, or pumping installations
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Abstract
The invention relates to the technical field of group control energy conservation, in particular to an intelligent group control energy-saving system and method for air compressors. The method comprises the following steps: air compressor machine module, bottom data acquisition module, server module, monitoring module, control module, data storage module, air compressor machine module: bottom data acquisition module: a server module: the data acquisition module is used for receiving data of the bottom data acquisition module, performing data interaction with the data storage module and transmitting the adjustment data to the control module according to the instruction of the monitoring module; a data storage module: a monitoring module: the monitoring system is used for monitoring the data uploaded into the server module, calculating and judging whether to adjust the data or not, and monitoring whether the air compressor module after data adjustment achieves the energy-saving effect or not; and a control module. The invention monitors the whole system by adopting the monitoring module, and adjusts the air compressor module to the optimal output power when the optimal output power is not reached.
Description
Technical Field
The invention relates to the technical field of group control energy conservation, in particular to an intelligent group control energy-saving system and method for air compressors.
Background
At present, the cooperative work of multiple air compressors is usually because a single air compressor cannot meet the working requirement, and multiple air compressors are required to work simultaneously to meet the requirement, at present, the cooperative work of multiple air compressors is usually realized by adopting all the air compressors to reach rated power to work, and then the number of the air compressors is increased or reduced according to the air supply requirement, and the adjusting mode also has certain defects.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an intelligent group control energy-saving system and method for air compressors.
The purpose of the invention is realized by the following technical scheme:
an air compressor machine intelligence group control economizer system includes: an air compressor module, a bottom layer data acquisition module, a server module, a monitoring module, a control module and a data storage module,
an air compressor module: for receiving data and making power adjustments based on the data;
bottom data acquisition module: the system comprises a server module, an air compressor module, a data acquisition module and a data processing module, wherein the server module is used for acquiring data of the air compressor module and uploading the data to the server module;
a server module: the data acquisition module is used for receiving data of the bottom data acquisition module, performing data interaction with the data storage module and transmitting the adjustment data to the control module according to the instruction of the monitoring module;
a data storage module: the data interaction module is used for storing data and carrying out data interaction with the server module;
a monitoring module: the monitoring system is used for monitoring the data uploaded into the server module, calculating and judging whether to adjust the data or not, and monitoring whether the air compressor module after data adjustment achieves the energy-saving effect or not;
a control module: and receiving the instruction of the monitoring module and the adjustment data of the server module, and controlling the air compressor module to update the data.
Specifically, still include: and the energy consumption analysis module is used for analyzing the running time and the energy consumption of the production equipment according to the output power and the energy consumption of each air compressor in unit time, counting excellent energy consumption data and obtaining the optimal output power of each air compressor and the exhaust gas volume output by the optimal output power.
Specifically, the energy consumption analysis data are obtained through a polling mode, the polling mode is that each air compressor in the air compressor module tests the energy consumption with different powers within a rated power range of the air compressor, the energy consumption analysis module correspondingly records the energy consumption data and the power data obtained by the air compressor module, and the monitoring module monitors the state of the air compressor.
Specifically, the air compressor module in the inspection mode is in a non-task execution stage.
The server module is used for uploading data to the zigbee module, and the zigbee module is in communication connection with the remote control module.
An energy-saving method for an intelligent group control energy-saving system of air compressors comprises the following steps:
step 1: the bottom layer data acquisition module acquires data of the air compressor module and uploads the data to the server module through the transmission module;
step 2: the monitoring module monitors the data uploaded to the server module and calculates to judge whether to adjust the data;
and step 3: when the data do not need to be adjusted, the monitoring module transmits the acquired data to the data storage module as experience data, when the data need to be adjusted, the monitoring module calls an experience scheme from the data storage module in advance, if the experience scheme is directly transmitted to the control module, if the experience scheme is not available, the server performs operation to obtain adjustment data, the server module transmits the adjustment data to the control module, and the control module transmits the adjustment data back to the air compressor module to update the data;
and 4, step 4: the monitoring module monitors whether the air compressor module achieves the energy-saving effect or not, if the air compressor module does not achieve the energy-saving effect, adjustment is carried out again, and if the air compressor module achieves the energy-saving effect, the server records the corrected data as experience data and records the experience data into the data storage module.
Specifically, a polling step is further arranged before the step 1), energy consumption of each air compressor of the air compressor module in different power is tested within a rated power range of the air compressor module in the polling step, energy consumption data and power data obtained by the air compressor module are correspondingly recorded by the energy consumption analysis module, the air compressor state is monitored by the monitoring module, abnormal information is recorded to remind an operator if parameters of individual air compressors are abnormal, the air compressor module in the polling step is in a non-task execution stage, the energy consumption analysis module analyzes the optimal output power of the production equipment according to the output power and energy consumption of each air compressor in unit time, the optimal energy consumption data are counted, the optimal output power of each air compressor and the exhaust volume output by the optimal output power are obtained, and the polling mode is completed after the optimal output power is obtained.
Specifically, in the inspection step, the energy consumption per unit time is set toΔQThe output power per unit time is set to Δ P and the power consumption per unit time is set toAnd comparing to obtain the lowest power consumption ratio of the air compressors, and reversely deducing the power and the air displacement of the lowest power consumption ratio, wherein the power of the lowest power consumption ratio is the optimal output power of the current air compressor, and the air displacement of the lowest power consumption ratio is the optimal air displacement of the current air compressor.
Specifically, the adjustment data is the air displacement of the air compressors to be adjusted to reach the air displacement required by the system, and the adjustment data is conditioned by adopting the minimum number of the air compressors and enabling the air displacement of the air compressors as much as possible to reach the optimal air displacement and meet the air supply requirement of the system.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) the invention monitors the whole system by adopting the monitoring module, adjusts the air compressor module to the optimal output power when the optimal output power is not reached, and can adjust the optimal output power according to different loss degrees to achieve the energy-saving effect.
(2) According to the invention, the optimal output power of each air compressor is obtained by entering the inspection mode test before the operation, the monitoring module can also monitor the parameters and the state of the air compressor before the operation, and if the parameters or the state are abnormal, abnormal information is recorded to remind an operator, and the operator can replace and maintain the air compressor.
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Fig. 1 is a schematic diagram of the mechanism of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1, an air compressor intelligent group control energy-saving system includes: the system comprises an air compressor module, a bottom layer data acquisition module, a server module, a monitoring module, a control module and a data storage module, wherein the air compressor module is used for receiving data and adjusting power according to the data; the bottom layer data acquisition module is used for acquiring data of the air compressor module and uploading the data to the server module; the server module is used for receiving the data of the bottom data acquisition module, performing data interaction with the data storage module and transmitting the adjustment data to the control module according to the instruction of the monitoring module; the data storage module is used for storing data and performing data interaction with the server module; the monitoring module is used for monitoring the data uploaded into the server module, calculating and judging whether to adjust the data or not, and monitoring whether the air compressor module after data adjustment achieves the energy-saving effect or not; the control module receives the instruction of the monitoring module and the adjustment data of the server module, and controls the air compressor module to update the data. And the energy consumption analysis module is used for analyzing the operation time and energy consumption of the production equipment according to the output power and energy consumption of each air compressor in unit time, counting excellent energy consumption data, and preferentially arranging the air compressors according to the optimum energy consumption data. The monitoring module is adopted to monitor the whole system, the air compressor module is adjusted to be the optimal output power when the optimal output power is not reached, the optimal output power can be adjusted according to different loss degrees, and the energy-saving effect is achieved.
Specifically, the energy consumption analysis data are obtained through a polling mode, the polling mode is that each air compressor in the air compressor module tests the energy consumption with different powers within a rated power range of the air compressor, the energy consumption analysis module correspondingly records the energy consumption data and the power data obtained by the air compressor module, and the monitoring module monitors the state of the air compressor.
Specifically, the air compressor module in the inspection mode is in a non-task execution stage.
The server module is used for uploading data to the zigbee module, and the zigbee module is in communication connection with the remote control module.
The specific implementation process of the invention is as follows: an energy-saving method for an intelligent group control energy-saving system of air compressors comprises the following steps:
a preamble inspection step: in the inspection step, each air compressor of the air compressor module tests the energy consumption with different power within the range of the rated power of the air compressor module, the energy consumption analysis module correspondingly records the energy consumption data and the power data obtained by the air compressor module, the monitoring module monitors the state of the air compressor, if the parameters of individual air compressors are abnormal, abnormal information is recorded to remind operators, the replacement is carried out in time, the problem found in working is avoided, if the problem found in working is stopped, the air compressor is replaced to influence the working progress and bring irrecoverable loss, therefore, the air compressor module is in a non-execution task stage in the inspection step, the inspection step is usually carried out in two hours before working, the energy consumption analysis module analyzes the optimal output power of the production equipment according to the output power and the energy consumption of each air compressor in unit time, and counts excellent energy consumption data, obtaining the optimal output power of each air compressor and the displacement output by the optimal output power, and obtaining the optimal output power and the corresponding optimal output powerThe inspection mode is completed after the air displacement, in the inspection step, the energy consumption of a single air compressor in unit time is set to be delta Q, the output power in unit time is set to be delta P, and the power consumption ratio in unit time isComparing to obtain the lowest power consumption ratio of one air compressor, reversely deducing the power and the air displacement of the lowest power consumption ratio, wherein the power of the lowest power consumption ratio is the optimal output power of the current air compressor, the air displacement of the lowest power consumption ratio is the optimal air displacement of the current air compressor, and correspondingly recording the optimal output power and the optimal air displacement corresponding to each air compressor into a data storage module;
step 1: starting an air compressor, adjusting the required air displacement in a conventional mode, and uploading data of an air compressor module to a server module through a transmission module by a bottom data acquisition module;
step 2: the monitoring module monitors the data uploaded to the server module and calculates to judge whether to adjust the data; in the step, the power and the air displacement of each air compressor recorded in the latest inspection mode are calculated through the monitoring module, the data of theoretically adopting the minimum number of the air compressors, enabling the air displacement of the air compressors as much as possible to reach the optimal air displacement and meeting the air supply requirement of the system are obtained, the obtained theoretical optimal adjustment data are compared with the data collected after the air compressors are started after the theoretical optimal adjustment data are obtained, if the theoretical optimal adjustment data can generate the same air displacement and have lower power compared with the data collected after the air compressors are started, the theoretical optimal adjustment data are adjusted, and if the power and the air displacement of the air compressors after the air compressors are started are the same as the theoretical data, the adjustment is not carried out.
And step 3: when the data do not need to be adjusted, the monitoring module transmits the acquired data to the data storage module as experience data, when the data need to be adjusted, the monitoring module calls an experience scheme from the data storage module in advance, if the experience scheme is directly transmitted to the control module, if the experience scheme is not available, the server performs operation to obtain adjustment data, the server module transmits the adjustment data to the control module, and the control module transmits the adjustment data back to the air compressor module to update the data;
and 4, step 4: the monitoring module monitors whether the air compressor module achieves an energy-saving effect or not, if the energy-saving effect is not achieved, adjustment is carried out again, fine adjustment is carried out if adjustment is carried out again, namely, the amount of still air displacement is calculated, the power of the air compressor in one work is correspondingly increased, the system achieves the rated air displacement, and if the effect is achieved, the server records corrected data which serve as experience data to the data storage module.
Specifically, the adjustment data is the air displacement of the air compressors to be adjusted to reach the air displacement required by the system, and the adjustment data is conditioned by adopting the minimum number of the air compressors and enabling the air displacement of the air compressors as much as possible to reach the optimal air displacement and meet the air supply requirement of the system.
The above-mentioned embodiments only express the embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (9)
1. The utility model provides an air compressor machine intelligence group control economizer system which characterized in that includes: an air compressor module, a bottom layer data acquisition module, a server module, a monitoring module, a control module and a data storage module,
an air compressor module: for receiving data and making power adjustments based on the data;
bottom data acquisition module: the system comprises a server module, an air compressor module, a data acquisition module and a data processing module, wherein the server module is used for acquiring data of the air compressor module and uploading the data to the server module;
a server module: the data acquisition module is used for receiving data of the bottom data acquisition module, performing data interaction with the data storage module and transmitting the adjustment data to the control module according to the instruction of the monitoring module;
a data storage module: the data interaction module is used for storing data and carrying out data interaction with the server module;
a monitoring module: the monitoring system is used for monitoring the data uploaded into the server module, calculating and judging whether to adjust the data or not, and monitoring whether the air compressor module after data adjustment achieves the energy-saving effect or not;
a control module: and receiving the instruction of the monitoring module and the adjustment data of the server module, and controlling the air compressor module to update the data.
2. The intelligent group control energy-saving system for the air compressors according to claim 1, further comprising: and the energy consumption analysis module is used for analyzing the running time and the energy consumption of the production equipment according to the output power and the energy consumption of each air compressor in unit time, counting excellent energy consumption data and obtaining the optimal output power of each air compressor and the exhaust gas volume output by the optimal output power.
3. The air compressor intelligent group control energy-saving system according to claim 2, wherein the energy consumption analysis data is obtained through a patrol mode, the patrol mode is that each air compressor in the air compressor module tests the energy consumption with different power within a rated power range of the air compressor, the energy consumption analysis module correspondingly records the energy consumption data and the power data obtained by the air compressor module, and the monitoring module monitors the state of the air compressor.
4. The air compressor intelligent group control energy-saving system according to claim 3, wherein the air compressor module in the patrol inspection mode is in a non-task execution stage.
5. The intelligent air compressor group control energy-saving system according to claim 1, further comprising a zigbee module, wherein data of the server module is further uploaded to the zigbee module, and the zigbee module is in communication connection with the remote control module.
6. An energy-saving method for an intelligent group control energy-saving system of air compressors is characterized by comprising the following steps:
step 1: the bottom layer data acquisition module acquires data of the air compressor module and uploads the data to the server module through the transmission module;
step 2: the monitoring module monitors the data uploaded to the server module and calculates to judge whether to adjust the data;
and step 3: when the data do not need to be adjusted, the monitoring module transmits the acquired data to the data storage module as experience data, when the data need to be adjusted, the monitoring module calls an experience scheme from the data storage module in advance, if the experience scheme is directly transmitted to the control module, if the experience scheme is not available, the server performs operation to obtain adjustment data, the server module transmits the adjustment data to the control module, and the control module transmits the adjustment data back to the air compressor module to update the data;
and 4, step 4: the monitoring module monitors whether the air compressor module achieves the energy-saving effect or not, if the air compressor module does not achieve the energy-saving effect, adjustment is carried out again, and if the air compressor module achieves the energy-saving effect, the server records the corrected data as experience data and records the experience data into the data storage module.
7. The energy-saving method for the intelligent group control energy-saving system of the air compressors according to claim 6, characterized in that a polling step is further provided before the step 1), each air compressor of the air compressor module in the polling step tests the energy consumption with different power within the self rated power range, the energy consumption analysis module correspondingly records the energy consumption data and the power data obtained by the air compressor module, the monitoring module monitors the state of the air compressors, if the parameters of the individual air compressors are abnormal, abnormal information is recorded to remind operators, the air compressor module in the polling step is in a non-execution task stage, the energy consumption analysis module analyzes the optimal output power of the production equipment according to the output power and the energy consumption of each air compressor in unit time, the optimal energy consumption data are counted to obtain the optimal output power of each air compressor and the exhaust amount output by the optimal output power, and finishing the inspection mode after the optimal output power is obtained.
8. The energy saving method for the intelligent group control energy saving system of air compressors according to claim 7, wherein in the inspection step, the energy consumption per unit time is set to Δ Q, the output power per unit time is set to Δ P, and the power consumption ratio per unit time is set to Δ Q, Δ PAnd comparing to obtain the lowest power consumption ratio of the air compressors, and reversely deducing the power and the air displacement of the lowest power consumption ratio, wherein the power of the lowest power consumption ratio is the optimal output power of the current air compressor, and the air displacement of the lowest power consumption ratio is the optimal air displacement of the current air compressor.
9. The energy-saving method for the intelligent group control energy-saving system of the air compressors according to claim 8, wherein the adjustment data is the air displacement of the air compressors to achieve the required air displacement of the system, and the adjustment data is the condition that the least number of the air compressors is adopted, and the air displacement of the air compressors as much as possible achieves the optimal air displacement and achieves the air supply requirement of the system.
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