Energy-saving air compression system and control method thereof

Abstract

The invention relates to the technical field of air compression systems, in particular to an energy-saving air compression system and a control method thereof. Comprising a compression unit which comprises a low-pressure compression module and a high-pressure compression module; the compression unit is used for producing compressed air; the drying unit is connected with the compression unit, and the drying unit is used for filtering and drying compressed air produced by the compression unit; and the central control unit is used for obtaining the compressed air demand quantity and setting working parameters of the compression unit and the drying unit according to the compressed air demand quantity. A high-pressure compression module and a low-pressure compression module are additionally arranged, a plurality of initial air compression plans are set according to real-time air compression requirements, energy consumption parameters of the initial compression plans are judged, and working parameters of the low-pressure compression module and the high-pressure compression module are set according to optimization results; and energy consumption increase caused by frequent variable-pressure adjustment is avoided, the overall operation energy consumption and operation and maintenance cost of the compressed air system are reduced, and the operation efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of compressed air systems, and in particular to an energy-saving compressed air system and a control method thereof. Background Art

[0002] Compressed air is the most environmentally friendly power source in industrial production. It is widely used in medicine, food, machinery, electronics, plastics, textiles, electricity, building materials and other industries for spraying, mixing, transportation, etc. Compared with voltage and oil pressure, air pressure is inexhaustible. Basically, every factory is equipped with an air compressor station.

[0003] In the blast furnace production process, the demand for compressed air is relatively large, and different process sections use different pressures. However, the existing compressed air system mainly sets up a set of compressed air units to centrally supply compressed air, so that the supply pressure is the same, and the pressure is adjusted when the terminal machine is used. Although this design saves some initial investment in equipment, it increases the energy consumption and operating costs of the air compression system in the long run. Summary of the invention

[0004] The purpose of this application is: to solve the above technical problems, this application provides an energy-saving compressed air system and a control method thereof, aiming to reduce the operating cost of the compressed air system and reduce the overall energy consumption.

[0005] In some embodiments of the present application, by adding high-pressure compression modules and low-pressure compression modules, multiple initial compressed air plans are set according to the real-time compressed air demand, and the energy consumption parameters of each initial compression plan are judged, and the working parameters of the low-pressure compression module and the high-pressure compression module are set according to the optimization results, so as to avoid increasing energy consumption due to frequent voltage transformation and regulation, reduce the overall operating energy consumption and operation and maintenance costs of the compressed air system, and improve operating efficiency.

[0006] In some embodiments of the present application, by improving the drying unit, a zero-gas consumption blast heat regeneration dryer is used to dry and filter the compressed air, and by arranging multiple filter submodules in the main pipeline, the filter submodules are dynamically adjusted according to the real-time parameters of the compressed air, thereby reducing the overall energy consumption while ensuring the drying and filtering effect. It is ensured that the dew point of the compressed air after drying and filtering can meet the process requirements.

[0007] In some embodiments of the present application, an energy-saving compressed air system is provided, comprising:

[0008] A compression unit, comprising: a low-pressure compression module and a high-pressure compression module;

[0009] The compression unit is used to produce compressed air;

[0010] A drying unit connected to the compression unit, the drying unit being used to filter and dry the compressed air produced by the compression unit;

[0011] The central control unit is used to obtain the compressed air demand and set the working parameters of the compression unit and the drying unit according to the compressed air demand.

[0012] In some embodiments of the present application, the central control unit includes:

[0013] A first control module is used to generate a plurality of initial compression plans, generate an operation evaluation value of each initial compression plan according to a preset evaluation model, and set a first-level compression plan according to all the operation evaluation values;

[0014] The second control module is used to obtain compressed gas parameters and generate an impurity evaluation value of the compressed gas. The second control module is also used to set the working parameters of the drying unit according to the impurity evaluation value.

[0015] In some embodiments of the present application, the drying unit includes:

[0016] A main pipeline connected to the compression unit, wherein a plurality of filtering points and a plurality of monitoring points are arranged in the main pipeline;

[0017] A filter structure, used for filtering compressed air, the filter structure comprising a plurality of filter submodules, the filter submodules being arranged at filter points;

[0018] The monitoring structure is used to collect compressed air parameters in the main pipeline. The monitoring structure includes a plurality of monitoring submodules, and the monitoring submodules are arranged at monitoring points.

[0019] In some embodiments of the present application, the first control module is further used to:

[0020] Establish an initial compression plan sequence A, A = (a1, a2...an), where ai is the i-th initial compression plan and n is the number of compression plans;

[0021] Generate operational evaluation values ​​for each primary compression plan according to a preset evaluation model;

[0022] gi=(βi*Q) / [e1*F1(c 1i )+e2*F2(c 2i )];

[0023] Wherein, gi is the operation evaluation value of the i-th initial compression plan; βi is the compensation coefficient set based on the operation time of the i-th initial compression plan; F 1( x) is the functional relationship between the compressed air volume and energy consumption of the low-pressure compression module; F2 (x) is the functional relationship between the compressed air volume and energy consumption of the high-pressure compression module; c 1i is the compressed air volume of the low-pressure compression module in the i-th initial compression plan; c 2i is the compressed air volume of the high-pressure compression module in the i-th initial compression plan; Q is a fixed coefficient;

[0024] Establish an operation evaluation value sequence G, G = (g1, g2...gn);

[0025] Set the maximum operation evaluation value g in the operation evaluation value sequence G max The corresponding initial compression plan is the first-level compression plan.

[0026] In some embodiments of the present application, the second control module is further used to:

[0027] Generate an initial impurity evaluation value d of compressed air;

[0028]

[0029] Among them, ci is the reference evaluation value of the i-th impurity in compressed air, and αi is the impact factor of the i-th impurity;

[0030] According to the initial impurity evaluation value d, the number of filtering submodules to be opened and the expected filtering curve are set;

[0031] Obtain the real-time impurity evaluation value dε' of the εth monitoring point in sequence; the value range of ε is [1, m1], where m1 is the number of monitoring points;

[0032] Whether to generate an adjustment instruction is determined based on the real-time impurity evaluation value dε' and the expected filtering curve.

[0033] In some embodiments of the present application, the second control module is further used to:

[0034] Establish impurity evaluation value difference model;

[0035]

[0036] Among them, hε is the difference of impurity evaluation value of the εth monitoring point; ki is the fixed coefficient of the i-th impurity, Y i (x) is the functional relationship between the absorption time and residual content of the i-th impurity, t ε is the absorption time of compressed air reaching the i-th monitoring point;

[0037] Presetting a first impurity evaluation value difference interval (H1, H2), a second impurity evaluation value difference interval (H2, H3) and a fourth impurity evaluation value difference (H3, H4);

[0038] If hε is within the preset first impurity evaluation value difference interval, a first-level adjustment instruction is generated;

[0039] If hε is within the preset second impurity evaluation value difference interval, no adjustment instruction is generated;

[0040] If hε is within the preset third impurity evaluation value difference interval, a secondary adjustment instruction is generated.

[0041] In some embodiments of the present application, a method for controlling an energy-saving compressed air system is provided, comprising:

[0042] Generate multiple initial compression plans according to the compressed air demand, generate an operation evaluation value of each initial compression plan, and set a first-level compression plan according to all the operation evaluation values;

[0043] Setting working parameters of the low-pressure compression module and the high-pressure compression module according to the first-stage compression plan;

[0044] Generate compressed air and set the working parameters of the drying unit according to the compressed air parameters.

[0045] In some embodiments of the present application, the setting of the first-level compression plan includes:

[0046] Establish an initial compression plan sequence A, A = (a1, a2...an), where ai is the i-th initial compression plan and n is the number of compression plans;

[0047] Generate operational evaluation values ​​for each primary compression plan according to a preset evaluation model;

[0048] gi=(βi*Q) / [e1*F1(c 1i )+e2*F2(c 2i )];

[0049] Wherein, gi is the operation evaluation value of the i-th initial compression plan; βi is the compensation coefficient set based on the operation time of the i-th initial compression plan; F 1( x) is the functional relationship between the compressed air volume and energy consumption of the low-pressure compression module; F2 ( x) is the functional relationship between the compressed air volume and energy consumption of the high-pressure compression module; c 1i is the compressed air volume of the low-pressure compression module in the i-th initial compression plan; c 2i is the compressed air volume of the high-pressure compression module in the i-th initial compression plan; Q is a fixed coefficient;

[0050] Establish an operation evaluation value sequence G, G = (g1, g2...gn);

[0051] Set the maximum operation evaluation value g in the operation evaluation value sequence G maxThe corresponding initial compression plan is the first-level compression plan.

[0052] In some embodiments of the present application, when setting the working parameters of the drying unit according to the compressed air parameters, it includes:

[0053] Generate an initial impurity evaluation value d of compressed air;

[0054]

[0055] Among them, ci is the reference evaluation value of the i-th impurity in compressed air, and αi is the impact factor of the i-th impurity;

[0056] According to the initial impurity evaluation value d, the number of filtering submodules to be opened and the expected filtering curve are set;

[0057] Obtain the real-time impurity evaluation value dε' of the εth monitoring point in sequence; the value range of ε is [1, m1], where m1 is the number of monitoring points;

[0058] Whether to generate an adjustment instruction is determined based on the real-time impurity evaluation value dε' and the expected filtering curve.

[0059] In some embodiments of the present application, the determining whether to generate an adjustment instruction includes:

[0060] Generate an impurity evaluation value difference h;

[0061]

[0062] Among them, hε is the difference of impurity evaluation value of the εth monitoring point; ki is the fixed coefficient of the i-th impurity, Y i (x) is the functional relationship between the absorption time and residual content of the i-th impurity, t ε is the absorption time of compressed air reaching the i-th monitoring point;

[0063] Presetting a first impurity evaluation value difference interval (H1, H2), a second impurity evaluation value difference interval (H2, H3) and a fourth impurity evaluation value difference (H3, H4);

[0064] If hε is within the preset first impurity evaluation value difference interval, a first-level adjustment instruction is generated;

[0065] If hε is within the preset second impurity evaluation value difference interval, no adjustment instruction is generated;

[0066] If hε is within the preset third impurity evaluation value difference interval, a secondary adjustment instruction is generated.

[0067] Compared with the prior art, the energy-saving compressed air system and control method thereof in the embodiment of the present application have the following beneficial effects:

[0068] By adding high-pressure compression modules and low-pressure compression modules, multiple initial compressed air plans are set according to the real-time compressed air demand, and the energy consumption parameters of each initial compression plan are judged. The working parameters of the low-pressure compression module and the high-pressure compression module are set according to the optimization results to avoid increasing energy consumption due to frequent voltage transformation and regulation, reduce the overall operating energy consumption and operation and maintenance costs of the compressed air system, and improve operating efficiency.

[0069] By improving the drying unit and using a zero-gas-consumption blast heat regeneration dryer, the compressed air is dried and filtered. By setting multiple filter submodules in the main pipeline and dynamically adjusting the filter submodules according to the real-time parameters of the compressed air, the overall energy consumption is reduced while ensuring the drying and filtering effect. It is ensured that the dew point of the compressed air after drying and filtering can meet the process requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 It is a structural schematic diagram of an energy-saving compressed air system in a preferred embodiment of the present application;

[0071] Figure 2 It is a flow chart of an energy-saving compressed air system control method in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0072] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0073] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0074] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0075] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0076] like Figure 1 As shown, an energy-saving compressed air system according to a preferred embodiment of the present application includes:

[0077] A compression unit, comprising: a low-pressure compression module and a high-pressure compression module;

[0078] The compression unit is used to produce compressed air;

[0079] A drying unit connected to the compression unit, the drying unit is used to filter and dry the compressed air produced by the compression unit;

[0080] The central control unit is used to obtain the compressed air demand and set the working parameters of the compression unit and the drying unit according to the compressed air demand.

[0081] Specifically, the central control unit includes:

[0082] A first control module is used to generate a plurality of initial compression plans, generate an operation evaluation value of each initial compression plan according to a preset evaluation model, and set a first-level compression plan according to all the operation evaluation values;

[0083] The second control module is used to obtain compressed gas parameters and generate an impurity evaluation value of the compressed gas. The second control module is also used to set the working parameters of the drying unit according to the impurity evaluation value.

[0084] Specifically, the drying unit includes:

[0085] A main pipeline is connected to the compression unit, and a plurality of filtering points and a plurality of monitoring points are arranged in the main pipeline;

[0086] A filter structure is used to filter the compressed air. The filter structure includes a plurality of filter submodules, and the filter submodules are arranged at the filter points;

[0087] The monitoring structure is used to collect the compressed air parameters in the main pipeline. The monitoring structure includes a plurality of monitoring submodules, and the monitoring submodules are arranged at the monitoring points.

[0088] Specifically, the drying unit is preferably a zero-gas-consumption blower heat regeneration dryer, and no regeneration gas consumption is consumed when the equipment is working, thereby greatly reducing the overall operating energy consumption of the compressed air system.

[0089] Specifically, the filtering submodule is preferably a main line filter, a micro oil mist filter, an oil mist filter and other filtering devices, which are arranged in sequence according to the filtering points in the main line. The monitoring submodule is preferably a sensor for obtaining real-time compressed air parameters.

[0090] It is understandable that in the above embodiment, by arranging multiple filter submodules in the main pipeline and dynamically adjusting the filter submodules according to the real-time parameters of the compressed air, the overall energy consumption is reduced while ensuring the drying and filtering effect, ensuring that the dew point of the compressed air after drying and filtering can meet the process requirements.

[0091] In a preferred embodiment of the present application, the first control module is also used for:

[0092] Establish an initial compression plan sequence A, A = (a1, a2...an), where ai is the i-th initial compression plan and n is the number of compression plans;

[0093] Generate operational evaluation values ​​for each primary compression plan according to a preset evaluation model;

[0094] gi=(βi*Q) / [e1*F1(c 1i )+e2*F2(c 2i )];

[0095] Among them, gi is the operation evaluation value of the i-th initial compression plan; βi is the compensation coefficient set based on the operation time of the i-th initial compression plan; F1( x) is the functional relationship between the compressed air volume and energy consumption of the low-pressure compression module; F2 ( x) is the functional relationship between the compressed air volume and energy consumption of the high-pressure compression module; c 1i is the compressed air volume of the low-pressure compression module in the i-th initial compression plan; c 2i is the compressed air volume of the high-pressure compression module in the i-th initial compression plan; Q is a fixed coefficient;

[0096] Establish an operation evaluation value sequence G, G = (g1, g2...gn);

[0097] Set the maximum operation evaluation value g in the operation evaluation value sequence G max The corresponding initial compression plan is the first-level compression plan.

[0098] Specifically, the operation evaluation values ​​of each initial compression plan are generated through the optimization model, and the optimal initial compression plan is selected as the first-level compression plan, thereby reducing the overall energy consumption in the compressed air process, avoiding the increase in energy consumption due to frequent voltage regulation, reducing the overall operating energy consumption and operation and maintenance costs of the compressed air system, and improving operating efficiency.

[0099] Specifically, when generating each initial compressed air plan, the obtained compressed air demand is randomly allocated, and the sum of the compressed air volume of the low-pressure compression module and the compressed air volume of the high-pressure compression module in a single initial compressed air plan is the compressed air demand.

[0100] Specifically, the higher the operation evaluation value, the lower the overall energy consumption of the corresponding initial compression plan. βi can be set according to the operation time of the current initial compression plan. The longer the operation time, the smaller the corresponding βi value.

[0101] In a preferred embodiment of the present application, the second control module is also used for:

[0102] Generate an initial impurity evaluation value d of compressed air;

[0103]

[0104] Among them, ci is the reference evaluation value of the i-th impurity in compressed air, and αi is the impact factor of the i-th impurity;

[0105] According to the initial impurity evaluation value d, the number of filtering submodules to be opened and the expected filtering curve are set;

[0106] Obtain the real-time impurity evaluation value dε' of the εth monitoring point in sequence; the value range of ε is [1, m1], where m1 is the number of monitoring points;

[0107] Whether to generate an adjustment instruction is determined based on the real-time impurity evaluation value dε' and the expected filtering curve.

[0108] Specifically, the higher the impurity evaluation value, the higher the filtration level required for the current compressed air.

[0109] Specifically, the second control module is further used for:

[0110] Establish impurity evaluation value difference model;

[0111]

[0112] Among them, hε is the difference of impurity evaluation value of the εth monitoring point; ki is the fixed coefficient of the i-th impurity, Y i (x) is the functional relationship between the absorption time and residual content of the i-th impurity, t ε is the absorption time of compressed air reaching the i-th monitoring point;

[0113] Specifically, Y i (x) can be set according to the number of filter modules opened and historical parameters.

[0114] Presetting a first impurity evaluation value difference interval (H1, H2), a second impurity evaluation value difference interval (H2, H3) and a fourth impurity evaluation value difference (H3, H4);

[0115] If hε is within the preset first impurity evaluation value difference interval, a first-level adjustment instruction is generated;

[0116] If hε is within the preset second impurity evaluation value difference interval, no adjustment instruction is generated;

[0117] If hε is within the preset third impurity evaluation value difference interval, a secondary adjustment instruction is generated.

[0118] Specifically, the first-level adjustment instruction means that the current filtering effect does not meet expectations, and the number of filter submodules in the subsequent pipeline needs to be increased to ensure the filtering adsorption effect. The second-level adjustment instruction means that the current filtering effect meets expectations. The third-level adjustment instruction means that the current filtering effect is higher than expected, and the number of filter submodules in the subsequent pipeline can be reduced to reduce the overall energy consumption.

[0119] It is understandable that in the above embodiment, by arranging multiple filter submodules in the main pipeline and dynamically adjusting the filter submodules according to the real-time parameters of the compressed air, the overall energy consumption is reduced while ensuring the drying and filtering effect, ensuring that the dew point of the compressed air after drying and filtering can meet the process requirements.

[0120] like Figure 2 As shown, based on another preferred embodiment of an energy-saving compressed air system in any of the above preferred embodiments, this preferred embodiment provides an energy-saving compressed air system control method, including:

[0121] S101: generating a plurality of initial compression plans according to the compressed air demand, generating an operation evaluation value of each initial compression plan, and setting a first-level compression plan according to all the operation evaluation values;

[0122] S102: Setting working parameters of the low-pressure compression module and the high-pressure compression module according to the first-level compression plan;

[0123] S103: Generate compressed air and set working parameters of the drying unit according to the compressed air parameters.

[0124] Specifically, when setting up a first-level compression plan, it includes:

[0125] Establish an initial compression plan sequence A, A = (a1, a2...an), where ai is the i-th initial compression plan and n is the number of compression plans;

[0126] Generate operational evaluation values ​​for each primary compression plan according to a preset evaluation model;

[0127] gi=(βi*Q) / [e1*F1(c 1i )+e2*F2(c 2i )];

[0128] Wherein, gi is the operation evaluation value of the i-th initial compression plan; βi is the compensation coefficient set based on the operation time of the i-th initial compression plan; F1(x) is the functional relationship between the compressed air volume and energy consumption of the low-pressure compression module; F2(x) is the functional relationship between the compressed air volume and energy consumption of the high-pressure compression module; c1i is the compressed air volume of the low-pressure compression module in the i-th initial compression plan; c2i is the compressed air volume of the high-pressure compression module in the i-th initial compression plan; Q is a fixed coefficient;

[0129] Establish an operation evaluation value sequence G, G = (g1, g2...gn);

[0130] Set the maximum operation evaluation value g in the operation evaluation value sequence G max The corresponding initial compression plan is the first-level compression plan.

[0131] In a preferred embodiment of the present application, when setting the working parameters of the drying unit according to the compressed air parameters, it includes:

[0132] Generate an initial impurity evaluation value d of compressed air;

[0133]

[0134] Among them, ci is the reference evaluation value of the i-th impurity in compressed air, and αi is the impact factor of the i-th impurity;

[0135] According to the initial impurity evaluation value d, the number of filtering submodules to be opened and the expected filtering curve are set;

[0136] Obtain the real-time impurity evaluation value dε' of the εth monitoring point in sequence; the value range of ε is [1, m1], where m1 is the number of monitoring points;

[0137] Whether to generate an adjustment instruction is determined based on the real-time impurity evaluation value dε' and the expected filtering curve.

[0138] Specifically, when determining whether to generate an adjustment instruction, it includes:

[0139] Generate an impurity evaluation value difference h;

[0140]

[0141] Among them, hε is the difference of impurity evaluation value of the εth monitoring point; ki is the fixed coefficient of the i-th impurity, Y i (x) is the functional relationship between the absorption time and residual content of the i-th impurity, t εis the absorption time of compressed air reaching the i-th monitoring point;

[0142] Presetting a first impurity evaluation value difference interval (H1, H2), a second impurity evaluation value difference interval (H2, H3) and a fourth impurity evaluation value difference (H3, H4);

[0143] If hε is within the preset first impurity evaluation value difference interval, a first-level adjustment instruction is generated;

[0144] If hε is within the preset second impurity evaluation value difference interval, no adjustment instruction is generated;

[0145] If hε is within the preset third impurity evaluation value difference interval, a secondary adjustment instruction is generated.

[0146] According to the first concept of the present application, by adding high-pressure compression modules and low-pressure compression modules, multiple initial compressed air plans are set according to the real-time compressed air demand, and the energy consumption parameters of each initial compression plan are judged, and the working parameters of the low-pressure compression module and the high-pressure compression module are set according to the optimization results, so as to avoid increasing energy consumption due to frequent voltage transformation and regulation, reduce the overall operating energy consumption and operation and maintenance costs of the compressed air system, and improve operating efficiency.

[0147] According to the second concept of the present application, by improving the drying unit, a zero-gas consumption blast heat regeneration dryer is used to dry and filter the compressed air, and by arranging multiple filter submodules in the main pipeline, the filter submodules are dynamically adjusted according to the real-time parameters of the compressed air, thereby reducing the overall energy consumption while ensuring the drying and filtering effect. It is ensured that the dew point of the compressed air after drying and filtration can meet the process requirements.

[0148] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. An energy-saving compressed air system, characterized in that: include: A compression unit, comprising: a low-pressure compression module and a high-pressure compression module; The compression unit is used to produce compressed air; A drying unit connected to the compression unit, the drying unit being used to filter and dry the compressed air produced by the compression unit; The central control unit is used to obtain the compressed air demand and set the working parameters of the compression unit and the drying unit according to the compressed air demand.

2. The energy-saving compressed air system according to claim 1, characterized in that: The central control unit comprises: A first control module is used to generate a plurality of initial compression plans, generate an operation evaluation value of each initial compression plan according to a preset evaluation model, and set a first-level compression plan according to all the operation evaluation values; The second control module is used to obtain compressed gas parameters and generate an impurity evaluation value of the compressed gas. The second control module is also used to set the working parameters of the drying unit according to the impurity evaluation value.

3. The energy-saving compressed air system according to claim 2, characterized in that: The drying unit comprises: A main pipeline connected to the compression unit, wherein a plurality of filtering points and a plurality of monitoring points are arranged in the main pipeline; A filter structure, used for filtering compressed air, the filter structure comprising a plurality of filter submodules, the filter submodules being arranged at filter points; The monitoring structure is used to collect compressed air parameters in the main pipeline. The monitoring structure includes a plurality of monitoring submodules, and the monitoring submodules are arranged at monitoring points.

4. The energy-saving compressed air system according to claim 3, characterized in that: The first control module is also used for: Establish an initial compression plan sequence A, A = (a1, a2...an), where ai is the i-th initial compression plan and n is the number of compression plans; Generate an operational evaluation value for each primary compression plan according to a preset evaluation model; gi=(βi*Q) / [e1*F1(c 1i )+e2*F2(c 2i )]; Wherein, gi is the operation evaluation value of the i-th initial compression plan; βi is the compensation coefficient set based on the operation time of the i-th initial compression plan; F 1( x) is the functional relationship between the compressed air volume and energy consumption of the low-pressure compression module; F 2( x) is the functional relationship between the compressed air volume and energy consumption of the high-pressure compression module; c 1i is the compressed air volume of the low-pressure compression module in the i-th initial compression plan; c 2i is the compressed air volume of the high-pressure compression module in the i-th initial compression plan; Q is a fixed coefficient; Establish an operation evaluation value sequence G, G = (g1, g2...gn); Set the maximum operation evaluation value g in the operation evaluation value sequence G max The corresponding initial compression plan is the first-level compression plan.

5. The energy-saving compressed air system according to claim 4, characterized in that: The second control module is also used for: Generate an initial impurity evaluation value d of compressed air; Among them, ci is the reference evaluation value of the i-th impurity in compressed air, and αi is the impact factor of the i-th impurity; According to the initial impurity evaluation value d, the number of filtering submodules to be opened and the expected filtering curve are set; Obtain the real-time impurity evaluation value dε' of the εth monitoring point in sequence; the value range of ε is [1, m1], where m1 is the number of monitoring points; Whether to generate an adjustment instruction is determined based on the real-time impurity evaluation value dε' and the expected filtering curve.

6. The energy-saving compressed air system according to claim 5, characterized in that: The second control module is also used for: Establish impurity evaluation value difference model; Among them, hε is the difference of impurity evaluation value of the εth monitoring point; ki is the fixed coefficient of the i-th impurity, Y i (x) is the functional relationship between the absorption time and residual content of the i-th impurity, t ε is the absorption time of compressed air reaching the i-th monitoring point; Presetting a first impurity evaluation value difference interval (H1, H2), a second impurity evaluation value difference interval (H2, H3) and a fourth impurity evaluation value difference (H3, H4); If hε is within the preset first impurity evaluation value difference interval, a first-level adjustment instruction is generated; If hε is within the preset second impurity evaluation value difference interval, no adjustment instruction is generated; If hε is within the preset third impurity evaluation value difference interval, a secondary adjustment instruction is generated.

7. An energy-saving compressed air system control method, applied to the energy-saving compressed air system of any one of claims 1 to 6, characterized in that: include: Generate multiple initial compression plans according to the compressed air demand, generate an operation evaluation value of each initial compression plan, and set a first-level compression plan according to all the operation evaluation values; Setting working parameters of the low-pressure compression module and the high-pressure compression module according to the first-stage compression plan; Generate compressed air and set the working parameters of the drying unit according to the compressed air parameters.

8. The energy-saving compressed air system control method according to claim 7, characterized in that: The setting of the first-level compression plan includes: Establish an initial compression plan sequence A, A = (a1, a2...an), where ai is the i-th initial compression plan and n is the number of compression plans; Generate an operational evaluation value for each primary compression plan according to a preset evaluation model; gi=(βi*Q) / [e1*F1(c 1i )+e2*F2(c 2i )]; Wherein, gi is the operation evaluation value of the i-th initial compression plan; βi is the compensation coefficient set based on the operation time of the i-th initial compression plan; F 1( x) is the functional relationship between the compressed air volume and energy consumption of the low-pressure compression module; F 2( x) is the functional relationship between the compressed air volume and energy consumption of the high-pressure compression module; c 1i is the compressed air volume of the low-pressure compression module in the i-th initial compression plan; c 2i is the compressed air volume of the high-pressure compression module in the i-th initial compression plan; Q is a fixed coefficient; Establish an operation evaluation value sequence G, G = (g1, g2...gn); Set the maximum operation evaluation value g in the operation evaluation value sequence G max The corresponding initial compression plan is the first-level compression plan.

9. The energy-saving compressed air system control method according to claim 8, characterized in that: When setting the working parameters of the drying unit according to the compressed air parameters, it includes: Generate an initial impurity evaluation value d of compressed air; Among them, ci is the reference evaluation value of the i-th impurity in compressed air, and αi is the impact factor of the i-th impurity; According to the initial impurity evaluation value d, the number of filtering submodules to be opened and the expected filtering curve are set; Obtain the real-time impurity evaluation value dε' of the εth monitoring point in sequence; the value range of ε is [1, m1], where m1 is the number of monitoring points; Whether to generate an adjustment instruction is determined based on the real-time impurity evaluation value dε' and the expected filtering curve.

10. The energy-saving compressed air system control method according to claim 9, characterized in that: The determining whether to generate an adjustment instruction includes: Generate an impurity evaluation value difference h; Among them, hε is the difference of impurity evaluation value of the εth monitoring point; ki is the fixed coefficient of the i-th impurity, Y i (x) is the functional relationship between the absorption time and residual content of the i-th impurity, t ε is the absorption time of compressed air reaching the i-th monitoring point; Presetting a first impurity evaluation value difference interval (H1, H2), a second impurity evaluation value difference interval (H2, H3) and a fourth impurity evaluation value difference (H3, H4); If hε is within the preset first impurity evaluation value difference interval, a first-level adjustment instruction is generated; If hε is within the preset second impurity evaluation value difference interval, no adjustment instruction is generated; If hε is within the preset third impurity evaluation value difference interval, a secondary adjustment instruction is generated.

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