Cluster energy-saving control method for air compressor unit

Abstract

The invention discloses a cluster energy-saving control method for air compressor units, and relates to the technical field of air compressor control, and the cluster energy-saving control method comprises the following steps: operating parameters of each air compressor unit are collected, and the operating parameters comprise electric energy data, total air supply data, start-stop times and frequency modulation times; integrating and extracting the collected parameter information to obtain a first operation parameter data set without start-stop and frequency modulation operation, a second operation parameter data set with start-stop and frequency modulation operation, and a third operation parameter data set without start-stop and frequency modulation operation; integrating and calculating basic energy consumption data of each air compressor unit based on the first operation parameter data set; and integrating and calculating a start-stop energy consumption coefficient based on the second operation parameter data set associated basic energy consumption data. According to the method, the energy consumption condition of the air compressor unit is accurately measured in a standard quantification manner, corresponding selection is performed when the air compressor unit is subjected to start-stop control, and the energy consumption of the air compressor unit is remarkably reduced.

Description

Technical Field

[0001] The invention relates to the technical field of air compressor control, and in particular to a cluster energy-saving control method for an air compressor unit. Background Art

[0002] Air compressors are widely used in industrial production such as construction, steel, machinery, and metallurgy. They compress air, and the compressed air they produce can be used as a power source for industrial equipment. In order to meet the gas demand on industrial sites, multiple air compressors need to be combined into an air compressor cluster for coordinated use. The cluster control of air compressor groups is to incorporate multiple air compressors into the same centralized control system for unified control and management. It can monitor the operating status and load requirements of the air compressor group in real time, and adjust the operating parameters of the compressors and the number of units put into operation.

[0003] For example, the invention patent with application publication number CN116733733A and name "Joint control method, device, equipment and storage medium for air compressor clusters", its joint control method includes grouping the air compressor cluster according to the working efficiency of each air compressor to obtain a first air compressor group with relatively high efficiency and a second air compressor group with relatively low efficiency; adjusting the set pressure of each air compressor according to the demand load of the air compressor cluster and the current load of each air compressor to control the gas output of the air compressor until the gas output of the air compressor cluster matches the gas consumption; wherein, if the demand load of the air compressor cluster is greater than the sum of the current loads of each air compressor, the set pressure of each air compressor in the first air compressor group is adjusted; if the demand load of the air compressor cluster is less than the sum of the current loads of each air compressor, the set pressure of each air compressor in the second air compressor group is adjusted.

[0004] The shortcoming of the existing technology, including the above-mentioned application, is that, when controlling a cluster of air compressor groups, although the operating status of each air compressor group can be collected and analyzed to obtain its energy consumption, due to the differences in actual control of each air compressor group (such as frequency modulation and start-stop adjustment), it is impossible to accurately measure the energy consumption in a standardized and quantified manner, and thus it is impossible to timely activate and avoid air compressor groups with abnormal energy consumption and perform timely maintenance, resulting in increased energy consumption. Summary of the invention

[0005] The object of the present invention is to provide a cluster energy-saving control method for an air compressor unit to solve the above-mentioned deficiencies in the prior art.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a cluster energy-saving control method for an air compressor unit, comprising the following steps:

[0007] Collect the operating parameters of each air compressor unit, including power consumption data, total air supply data, start and stop times, and frequency modulation times;

[0008] Integrate and extract the collected parameter information to obtain a first operating parameter data set without start-stop and frequency modulation operations, a second operating parameter data set with start-stop and frequency modulation operations, and a third operating parameter data set with start-stop and frequency modulation operations;

[0009] Integrate and calculate basic energy consumption data of each air compressor group based on the first operating parameter data set;

[0010] Based on the second operating parameter data set associated with the basic energy consumption data, the start-stop energy consumption coefficient is calculated and integrated; based on the third operating parameter data set associated with the basic energy consumption data, the frequency modulation energy consumption coefficient is calculated and integrated;

[0011] Based on the acquired basic energy consumption data, start-stop energy consumption coefficient and frequency modulation energy consumption coefficient, the total air supply data, start-stop times and frequency modulation times of each air compressor group are correlated to integrate and calculate the standard electric energy data;

[0012] The actual electric energy data of the air compressor group collected based on the standard electric energy data is calculated to obtain the abnormal energy consumption coefficient of the air compressor group, and each air compressor group is adjusted and managed based on the abnormal energy consumption coefficient.

[0013] As a further description of the above technical solution:

[0014] The first operating parameter data set U1 is:

[0015] Where K 1m represents the operating parameter information of the mth air compressor group in the first operating parameter data set, E 1m represents the power data of the mth air compressor group in the first operating parameter data set, G 1m represents the total air supply data of the mth air compressor group in the first operating parameter data set;

[0016] The second operating parameter data set U2 is:

[0017] Where K 2n represents the operating parameter information of the nth air compressor group in the second operating parameter data set, E 2n represents the power data of the nth air compressor group in the second operating parameter data set, G 2n represents the total air supply data of the nth air compressor group in the second operating parameter data set, Q 2n represents the start and stop times of the nth air compressor group in the second operating parameter data set;

[0018] The third operating parameter data set U3 is:

[0019] Where K 3i represents the operating parameter information of the i-th air compressor group in the third operating parameter data set, E 3i represents the power data of the i-th air compressor group in the third operating parameter data set, G 3i represents the total air supply data of the i-th air compressor group in the third operating parameter data set, F 3i Indicates the frequency modulation times of the i-th air compressor group in the third operating parameter data set.

[0020] As a further description of the above technical solution: the basic energy consumption data of each air compressor group is calculated based on the first operating parameter data set:

[0021] The basic energy consumption data D j The calculation logic is:

[0022] As a further description of the above technical solution: the start-stop energy consumption coefficient is calculated based on the second operating parameter data set and the associated basic energy consumption data:

[0023] The start-stop comprehensive energy consumption coefficient D2 is calculated based on the second operating parameter data set. The calculation logic of the start-stop comprehensive energy consumption coefficient D2 is:

[0024] Based on the start-stop comprehensive energy consumption coefficient D2, the basic energy consumption data D j Integrated calculation of start-stop energy consumption coefficient, where the start-stop energy consumption coefficient D Q The calculation logic is:

[0025] As a further description of the above technical solution: the frequency modulation energy consumption coefficient is calculated based on the third operating parameter data set and the associated basic energy consumption data:

[0026] The frequency modulation comprehensive energy consumption coefficient D3 is calculated based on the third operating parameter data set. The calculation logic of the frequency modulation comprehensive energy consumption coefficient D3 is:

[0027] Based on the frequency modulation comprehensive energy consumption coefficient D3, the basic energy consumption data D j Integrated calculation of frequency modulation energy consumption coefficient, including start-stop energy consumption coefficient E F The calculation logic is:

[0028] As a further description of the above technical solution: the standard electric energy data calculated by integrating the total air supply data, the start-stop energy consumption coefficient and the frequency modulation energy consumption coefficient of each air compressor group is specifically as follows:

[0029] Retrieve data on total air supply, start / stop times, and frequency modulation times of the air compressor unit;

[0030] Integrated calculation of standard electric energy data E z , E z =(D j *G)+(D Q *Q)+(D F *F);

[0031] Where G represents the total air supply data of the air compressor unit, Q represents the number of starts and stops of the air compressor unit, and F represents the number of frequency modulations of the air compressor unit.

[0032] As a further description of the above technical solution: based on the actual power data of the air compressor group collected in association with the standard power data, the energy consumption abnormality coefficient of the air compressor group is calculated, and the air compressor group is regulated and managed based on the energy consumption abnormality coefficient, which specifically includes the following steps:

[0033] The energy consumption abnormality coefficient of each air compressor unit is calculated by subtracting the standard electric energy data from the actual electric energy data of each air compressor unit;

[0034] Mark the air compressor group corresponding to the abnormal energy consumption coefficient less than or equal to 0, and give priority to the corresponding marked air compressor group when enabling control of the air compressor group;

[0035] The air compressor group corresponding to the abnormal energy consumption coefficient marked greater than 0 will be given priority when the air compressor group is deactivated.

[0036] As a further description of the above technical solution: it also includes comprehensive early warning analysis, retrieving the energy consumption abnormality coefficient of the air compressor group corresponding to the energy consumption abnormality coefficient being greater than 0, and dividing the energy consumption abnormality coefficient by the total air supply of the corresponding air compressor group to obtain the unit consumption abnormality coefficient of the air compressor group;

[0037] Retrieve the electric energy data and total gas supply data of the air compressor group corresponding to the unit consumption abnormal coefficient, and associate the cluster operation parameters of the air compressor group to calculate the energy consumption correlation deviation coefficient;

[0038] The energy consumption abnormality coefficient and the energy consumption related deviation coefficient are weighted and summed to calculate the abnormal value of the comprehensive energy consumption of the air compressor unit;

[0039] Based on the abnormal comprehensive energy consumption values ​​of the air compressor groups, abnormal energy consumption early warning management is carried out on each air compressor group.

[0040] As a further description of the above technical solution: the calculation logic of the energy consumption correlation deviation coefficient Bp is: Bp=Be-Bg, where Be is the ratio of the electric energy data of the air compressor group to the total electric energy data of the air compressor group cluster, and Bg is the ratio of the total air supply data of the air compressor group to the total air supply data of the air compressor group cluster.

[0041] As a further description of the above technical solution: Based on the abnormal value of the comprehensive energy consumption of the air compressor group, the abnormal energy consumption early warning management of each air compressor group is specifically as follows:

[0042] Set a comprehensive energy consumption abnormality threshold, compare the comprehensive energy consumption abnormality value of the air compressor unit with the comprehensive energy consumption abnormality threshold, deactivate the air compressor unit whose comprehensive energy consumption abnormality value is greater than the comprehensive energy consumption abnormality threshold, and generate an early warning signal to prompt maintenance and repair.

[0043] In the above technical solution, the cluster energy-saving control method of an air compressor unit provided by the present invention has the following beneficial effects:

[0044] The cluster energy-saving control method of the air compressor group integrates the multi-dimensional features of the collected operating parameters of the air compressor groups, and obtains the basic energy consumption data, the start-stop energy consumption coefficient and the frequency modulation energy consumption coefficient through correlation calculation. The standard electric energy data of each air compressor group is evaluated and calculated through the basic energy consumption data, the start-stop energy consumption coefficient and the frequency modulation energy consumption coefficient, and compared with the collected electric energy data of the air compressor groups, so as to achieve standard quantitative and accurate measurement of the energy consumption of the air compressor groups, and select accordingly when starting and stopping the air compressor groups, thereby significantly reducing the energy consumption of the air compressor groups. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0046] Figure 1 A schematic flow chart of a cluster energy-saving control method for an air compressor group provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0048] See also Figure 1, the embodiment of the present invention provides a technical solution: a cluster energy-saving control method for air compressor groups, comprising the following steps: collecting the operating parameters of each air compressor group, specifically, setting a monitoring module for each air compressor group in the air compressor group cluster, setting a target time period, and collecting and uploading the operating parameters of the air compressor group through the monitoring module, wherein the operating parameters include power consumption data, the power consumption data is the total power consumed by the air compressor group in the target time period, the total gas supply data, the total gas supply data is the total gas supply data generated by the air compressor group working in the target time period, the start and stop times, the start and stop times are the times of start and stop adjustments of the air compressor group in the target time period, and the frequency modulation times, the frequency modulation times are the times of frequency modulation operations of the air compressor group in the target time period;

[0049] The collected parameter information is integrated and extracted to obtain a first operating parameter data set without start-stop and frequency modulation operations, a second operating parameter data set with start-stop and frequency modulation operations, and a third operating parameter data set without start-stop and frequency modulation operations; specifically, the collected operating parameters of each air compressor group are traversed, and the collected operating parameters are identified, the operating parameters of the air compressor groups whose start-stop times and frequency modulation times are both 0 are extracted and integrated to obtain the first operating parameter data set without start-stop and frequency modulation operations, the operating parameters of the air compressor groups whose start-stop times are greater than 0 and whose frequency modulation times are 0 are extracted and integrated to obtain the second operating parameter data set with start-stop and frequency modulation operations, and the operating parameters of the air compressor groups whose start-stop times are 0 and whose frequency modulation times are greater than 0 are extracted and integrated to obtain the third operating parameter data set with start-stop and frequency modulation operations;

[0050] Integrate and calculate basic energy consumption data of each air compressor group based on the first operating parameter data set;

[0051] Among them, the first operating parameter data set U1 is:

[0052] There is no start-stop and frequency modulation operation in the first operating parameter data set, so the start-stop times and frequency modulation times in the operating parameter information of the air compressor group are both represented by 0;

[0053] Where K 1m represents the operating parameter information of the mth air compressor group in the first operating parameter data set, E 1m represents the power data of the mth air compressor group in the first operating parameter data set, G 1m represents the total air supply data of the mth air compressor group in the first operating parameter data set;

[0054] The basic energy consumption data of each air compressor group calculated based on the first operating parameter data set is as follows:

[0055] The basic energy consumption data D jThe calculation logic is:

[0056] The start-stop energy consumption coefficient is calculated based on the second operating parameter data set and the associated basic energy consumption data:

[0057] The second operating parameter data set U2 is:

[0058] There is no frequency modulation operation in the second operating parameter data set, so the frequency modulation times in the operating parameter information of the air compressor group are represented by 0;

[0059] Where K 2n represents the operating parameter information of the nth air compressor group in the second operating parameter data set, E 2n represents the power data of the nth air compressor group in the second operating parameter data set, G 2n represents the total air supply data of the nth air compressor group in the second operating parameter data set, Q 2n represents the start and stop times of the nth air compressor group in the second operating parameter data set;

[0060] The start-stop energy consumption coefficient calculated based on the second operating parameter data set and the associated basic energy consumption data is as follows:

[0061] The start-stop comprehensive energy consumption coefficient D2 is calculated based on the second operating parameter data set. The calculation logic of the start-stop comprehensive energy consumption coefficient D2 is:

[0062] Based on the start-stop comprehensive energy consumption coefficient D2, the basic energy consumption data D j Integrated calculation of start-stop energy consumption coefficient, where the start-stop energy consumption coefficient D Q The calculation logic is:

[0063] The frequency modulation energy consumption coefficient is calculated based on the third operating parameter data set and the associated basic energy consumption data:

[0064] The third operating parameter data set U3 is:

[0065] There is no start / stop operation in the third operating parameter data set, so the start / stop times in the operating parameter information of the air compressor unit are represented by 0.

[0066] Where K 3i represents the operating parameter information of the i-th air compressor group in the third operating parameter data set, E 3i represents the power data of the i-th air compressor group in the third operating parameter data set, G 3i represents the total air supply data of the i-th air compressor group in the third operating parameter data set, F 3irepresents the frequency modulation times of the i-th air compressor group in the third operating parameter data set;

[0067] The frequency modulation energy consumption coefficient is calculated based on the third operating parameter data set and the associated basic energy consumption data:

[0068] The frequency modulation comprehensive energy consumption coefficient E3 is calculated based on the third operating parameter data set. The calculation logic of the frequency modulation comprehensive energy consumption coefficient E3 is:

[0069] Based on the frequency modulation comprehensive energy consumption coefficient E3, the basic energy consumption data E j Integrated calculation of frequency modulation energy consumption coefficient, including start-stop energy consumption coefficient E F The calculation logic is:

[0070] Based on the acquired basic energy consumption data, start-stop energy consumption coefficient and frequency modulation energy consumption coefficient, the total air supply data, start-stop times and frequency modulation times of each air compressor group are correlated to integrate and calculate the standard electric energy data;

[0071] The actual electric energy data of the air compressor group collected based on the standard electric energy data is calculated to obtain the abnormal energy consumption coefficient of the air compressor group, and each air compressor group is adjusted and managed based on the abnormal energy consumption coefficient.

[0072] The standard electric energy data calculated by integrating the obtained basic energy consumption data, the start-stop energy consumption coefficient and the frequency modulation energy consumption coefficient and correlating the total air supply data, the start-stop times and the frequency modulation times of each air compressor group is specifically:

[0073] Retrieve data on total air supply, start / stop times, and frequency modulation times of the air compressor unit;

[0074] Integrated calculation of standard electric energy data E z , E z =(D j *G)+(D Q *Q)+(D F *F);

[0075] Where G represents the total air supply data of the air compressor unit, Q represents the number of starts and stops of the air compressor unit, and F represents the number of frequency modulations of the air compressor unit.

[0076] The actual electric energy data of the air compressor group collected based on the standard electric energy data is calculated to obtain the abnormal energy consumption coefficient of the air compressor group, and the air compressor group is regulated and managed based on the abnormal energy consumption coefficient. The specific steps include:

[0077] The energy consumption abnormality coefficient of each air compressor unit is calculated by subtracting the standard electric energy data from the actual electric energy data of each air compressor unit;

[0078] Mark the air compressor group corresponding to the abnormal energy consumption coefficient less than or equal to 0, and give priority to the corresponding marked air compressor group when enabling control of the air compressor group;

[0079] The air compressor group corresponding to the abnormal energy consumption coefficient marked greater than 0 will be given priority when the air compressor group is deactivated.

[0080] The present embodiment provides a cluster energy-saving control method for air compressor groups by integrating the multi-dimensional features of the collected operating parameters of the air compressor groups, and obtaining basic energy consumption data, start-stop energy consumption coefficients and frequency modulation energy consumption coefficients through associated calculations. The standard electric energy data of each air compressor group is evaluated and calculated through the basic energy consumption data, start-stop energy consumption coefficients and frequency modulation energy consumption coefficients, and compared with the collected electric energy data of the air compressor groups, so as to achieve multi-dimensional standard quantitative and accurate measurement of the energy consumption of the air compressor groups, and select correspondingly when starting and stopping the air compressor groups, and optimize the operation strategy to significantly reduce the energy consumption of the air compressor groups.

[0081] In another embodiment provided by the present invention, the cluster energy-saving control method of the air compressor group further includes comprehensive early warning analysis;

[0082] Retrieve the abnormal energy consumption coefficient of the air compressor group corresponding to the abnormal energy consumption coefficient being greater than 0, and divide the abnormal energy consumption coefficient by the total air supply of the corresponding air compressor group to obtain the abnormal unit consumption coefficient of the air compressor group;

[0083] Retrieve the electric energy data and total gas supply data of the air compressor group corresponding to the unit consumption abnormal coefficient, and associate the cluster operation parameters of the air compressor group to calculate the energy consumption correlation deviation coefficient;

[0084] The energy consumption abnormality coefficient and the energy consumption associated deviation coefficient are weighted and summed to calculate the comprehensive energy consumption abnormality value of the air compressor group; specifically, the calculation logic of the comprehensive energy consumption abnormality value Y is: B=Bv*δ1+Bp*δ2, where Bv represents the energy consumption abnormality coefficient, Bp represents the energy consumption associated deviation coefficient, δ1 and δ2 are preset weight coefficients, and δ1 and δ2 are both greater than 0;

[0085] Based on the abnormal comprehensive energy consumption values ​​of the air compressor groups, abnormal energy consumption early warning management is carried out on each air compressor group.

[0086] The calculation logic of the energy consumption correlation deviation coefficient Bp is: Bp=Be-Bg, where Be is the ratio of the electric energy data of the air compressor group to the total electric energy data of the air compressor group cluster, and Bg is the ratio of the total air supply data of the air compressor group to the total air supply data of the air compressor group cluster.

[0087] Based on the abnormal comprehensive energy consumption value of the air compressor group, the energy consumption abnormality warning management of each air compressor group is carried out as follows: a comprehensive energy consumption abnormality threshold is set, the comprehensive energy consumption abnormality value of the air compressor group is compared with the comprehensive energy consumption abnormality threshold, the air compressor group whose comprehensive energy consumption abnormality value is greater than the comprehensive energy consumption abnormality threshold is deactivated, and a warning signal is generated to prompt maintenance and repair.

[0088] The present embodiment provides a cluster energy-saving control method for air compressor groups. By integrating the energy consumption abnormality coefficient and the energy consumption correlation deviation coefficient of the air compressor groups in two dimensions, the comprehensive energy consumption abnormality value is calculated, so as to automatically deactivate the air compressor groups whose comprehensive energy consumption abnormality value is greater than the comprehensive energy consumption abnormality threshold, and generate an early warning signal to prompt maintenance and repair. Potential faults can be discovered and handled, thus avoiding equipment shutdown and production interruption caused by sudden faults, and further ensuring the stable operation of the equipment.

[0089] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A cluster energy-saving control method for an air compressor unit, characterized in that: The following steps are involved: Collect the operating parameters of each air compressor unit, including power consumption data, total air supply data, start and stop times, and frequency modulation times; Integrate and extract the collected parameter information to obtain a first operating parameter data set without start-stop and frequency modulation operations, a second operating parameter data set with start-stop and frequency modulation operations, and a third operating parameter data set with start-stop and frequency modulation operations; Integrate and calculate basic energy consumption data of each air compressor group based on the first operating parameter data set; Based on the second operating parameter data set associated with the basic energy consumption data, the start-stop energy consumption coefficient is calculated; based on the third operating parameter data set associated with the basic energy consumption data, the frequency modulation energy consumption coefficient is calculated; Based on the acquired basic energy consumption data, start-stop energy consumption coefficient and frequency modulation energy consumption coefficient, the total air supply data, start-stop times and frequency modulation times of each air compressor group are correlated to integrate and calculate the standard electric energy data; The actual electric energy data of the air compressor group collected based on the standard electric energy data is calculated to obtain the abnormal energy consumption coefficient of the air compressor group, and each air compressor group is adjusted and managed based on the abnormal energy consumption coefficient.

2. The cluster energy-saving control method of an air compressor unit according to claim 1, characterized in that: The first operating parameter data set U1 is: Where K 1m represents the operating parameter information of the mth air compressor group in the first operating parameter data set, E 1m represents the power data of the mth air compressor group in the first operating parameter data set, G 1m represents the total air supply data of the mth air compressor group in the first operating parameter data set; The second operating parameter data set U2 is: Where K 2n represents the operating parameter information of the nth air compressor group in the second operating parameter data set, E 2n represents the power data of the nth air compressor group in the second operating parameter data set, G 2n represents the total air supply data of the nth air compressor group in the second operating parameter data set, Q 2n represents the start and stop times of the nth air compressor group in the second operating parameter data set; The third operating parameter data set U3 is: Where K 3i represents the operating parameter information of the i-th air compressor group in the third operating parameter data set, E 3i represents the power data of the i-th air compressor group in the third operating parameter data set, G 3i represents the total air supply data of the i-th air compressor group in the third operating parameter data set, F 3i Indicates the frequency modulation times of the i-th air compressor group in the third operating parameter data set.

3. The cluster energy-saving control method of an air compressor unit according to claim 2, characterized in that: The basic energy consumption data of each air compressor group calculated based on the first operating parameter data set is as follows: The basic energy consumption data D j The calculation logic is:

4. The cluster energy-saving control method of an air compressor unit according to claim 3, characterized in that: The start-stop energy consumption coefficient calculated based on the second operating parameter data set and the associated basic energy consumption data is as follows: The start-stop comprehensive energy consumption coefficient D2 is calculated based on the second operating parameter data set. The calculation logic of the start-stop comprehensive energy consumption coefficient D2 is: Based on the start-stop comprehensive energy consumption coefficient D2, the basic energy consumption data D j Integrated calculation of start-stop energy consumption coefficient, where the start-stop energy consumption coefficient D Q The calculation logic is:

5. The cluster energy-saving control method of an air compressor unit according to claim 4, characterized in that: The frequency modulation energy consumption coefficient is calculated based on the third operating parameter data set and the associated basic energy consumption data: The frequency modulation comprehensive energy consumption coefficient D3 is calculated based on the third operating parameter data set. The calculation logic of the frequency modulation comprehensive energy consumption coefficient D3 is: Based on the frequency modulation comprehensive energy consumption coefficient D3, the basic energy consumption data D j Integrated calculation of frequency modulation energy consumption coefficient, including start-stop energy consumption coefficient D F The calculation logic is:

6. The cluster energy-saving control method of an air compressor unit according to claim 5, characterized in that: The standard electric energy data calculated by integrating the obtained basic energy consumption data, the start-stop energy consumption coefficient and the frequency modulation energy consumption coefficient and correlating the total air supply data, the start-stop times and the frequency modulation times of each air compressor group is specifically: Retrieve data on total air supply, start / stop times, and frequency modulation times of the air compressor unit; Integrated calculation of standard electric energy data E z , E z =(D j *G)+(D Q *Q)+(D F *F); Where G represents the total air supply data of the air compressor unit, Q represents the number of starts and stops of the air compressor unit, and F represents the number of frequency modulations of the air compressor unit.

7. The cluster energy-saving control method of an air compressor unit according to claim 6, characterized in that: The actual electric energy data of the air compressor group collected based on the standard electric energy data is calculated to obtain the abnormal energy consumption coefficient of the air compressor group, and the air compressor group is regulated and managed based on the abnormal energy consumption coefficient. The specific steps include: The energy consumption abnormality coefficient of each air compressor unit is calculated by subtracting the standard electric energy data from the actual electric energy data of each air compressor unit; Mark the air compressor group corresponding to the abnormal energy consumption coefficient less than or equal to 0, and give priority to the corresponding marked air compressor group when enabling control of the air compressor group; The air compressor group corresponding to the abnormal energy consumption coefficient marked greater than 0 will be given priority when the air compressor group is deactivated.

8. The cluster energy-saving control method of an air compressor unit according to claim 7, characterized in that: It also includes comprehensive early warning analysis, Retrieve the abnormal energy consumption coefficient of the air compressor group corresponding to the abnormal energy consumption coefficient being greater than 0, and divide the abnormal energy consumption coefficient by the total air supply of the corresponding air compressor group to obtain the abnormal unit consumption coefficient of the air compressor group; Retrieve the electric energy data and total gas supply data of the air compressor group corresponding to the unit consumption abnormal coefficient, and associate the cluster operation parameters of the air compressor group to calculate the energy consumption correlation deviation coefficient; The energy consumption abnormality coefficient and the energy consumption related deviation coefficient are weighted and summed to calculate the abnormal value of the comprehensive energy consumption of the air compressor unit; Based on the abnormal comprehensive energy consumption values ​​of the air compressor groups, abnormal energy consumption early warning management is carried out on each air compressor group.

9. The cluster energy-saving control method of an air compressor unit according to claim 8, characterized in that: The calculation logic of the energy consumption correlation deviation coefficient Bp is: Bp=Be-Bg, where Be is the ratio of the electric energy data of the air compressor group to the total electric energy data of the air compressor group cluster, and Bg is the ratio of the total air supply data of the air compressor group to the total air supply data of the air compressor group cluster.

10. The cluster energy-saving control method of an air compressor unit according to claim 8, characterized in that: Based on the abnormal comprehensive energy consumption value of the air compressor group, the abnormal energy consumption early warning management of each air compressor group is carried out as follows: Set a comprehensive energy consumption abnormality threshold, compare the comprehensive energy consumption abnormality value of the air compressor unit with the comprehensive energy consumption abnormality threshold, deactivate the air compressor unit whose comprehensive energy consumption abnormality value is greater than the comprehensive energy consumption abnormality threshold, and generate an early warning signal to prompt maintenance and repair.

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