Multi-module dryer cluster intelligent control system, method and device and storage medium

Abstract

The invention provides a multi-module drying machine cluster intelligent control system, method and device and a storage medium. The system comprises a plurality of air compressors and a plurality of drying machines. The air compressors are connected to the air inlet end of the pressure stabilizing air tank in parallel, and the air inlet ends of the dryers are connected to the air outlet end of the pressure stabilizing air tank in parallel. The air outlet ends of the dryers are connected to the air inlet end of the energy storage air tank in parallel; the air inlet end of the modular dryer cluster intelligent controller is connected to the air outlet end of the energy storage air tank, and the target operation state of at least one dryer is adjusted according to the target air parameters of compressed air of the energy storage air tank and the adsorbent filling amount of the dryers. According to the technical scheme, many-to-many parallel connection of the air compressors and the dryers can be achieved, the starting number of the dryers is dynamically adjusted on the premise that all the air compressors are maintained to operate, flexible adjustment of regeneration energy consumption of the dryers in a non-full-load state in a production area is achieved, and the energy consumption utilization rate is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of compressed air purification and processing, and in particular to a multi-module dryer cluster intelligent control system and method, device, and storage medium. Background Art

[0002] In the existing production process of industrial and mining enterprises, in order to meet the requirements of air dryness in production areas such as factories and workshops, adsorption drying systems are usually installed in the production areas. Existing adsorption drying systems usually include air compressors and dryers. The air compressor draws air from the factory into the dryer, and the adsorbent filled in the dryer absorbs moisture in the air to obtain dry air, which is then discharged into the production area.

[0003] However, the existing drying system consists of one air compressor connected in series with one dryer, and the drying space that each drying system can support is fixed. If the space in the production area is large, it is difficult to ensure that the space in the production area is a multiple of the drying space of the drying system. With the existing technology, multiple independently operated drying systems can only be set up in a redundant manner, and at least one dryer is not in full load condition. Since the dryer runs at full load power after startup, that is, the full load regeneration energy consumption of the dryer remains constant, energy consumption is wasted. Therefore, the existing drying system cannot achieve flexible configuration of drying capacity, which is not conducive to energy consumption control. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a multi-module dryer cluster intelligent control system and method, device, and storage medium, which can realize flexible configuration of drying capacity and improve energy consumption utilization.

[0005] In a first aspect, an embodiment of the present invention provides a multi-module dryer cluster intelligent control system, comprising:

[0006] Multiple air compressors;

[0007] Multiple dryers;

[0008] A pressure-stabilizing gas tank, the gas outlets of the plurality of air compressors are connected in parallel to the gas inlet of the pressure-stabilizing gas tank through a first main pipe, and the gas inlet of the plurality of dryers are connected in parallel to the gas outlet of the pressure-stabilizing gas tank through a second main pipe;

[0009] Energy storage gas tank, the gas outlet ends of the plurality of dryers are connected in parallel to the gas inlet end of the energy storage gas tank through a third main pipe;

[0010] A modular dryer cluster intelligent controller, wherein the air inlet end of the modular dryer cluster intelligent controller is connected to the air outlet end of the energy storage gas tank, and the air outlet end of the modular dryer cluster intelligent controller is connected to an external gas-using device;

[0011] The modular dryer cluster intelligent controller is used to detect target air parameters of the compressed air input from the energy storage tank, and adjust the target operating state of at least one of the dryers based on the target air parameters, the adsorbent filling amount of each of the dryers and preset operating parameters, wherein the target air parameters include a first intake temperature value, a first intake pressure value, a first intake dew point value and a first intake flow value of the compressed air.

[0012] According to some embodiments of the present invention, the air intake end of the modular dryer cluster intelligent controller is provided with a first temperature sensor, a first pressure sensor, a first dew point meter and a first flow meter, the first temperature sensor is used to detect the first intake air temperature value, the first pressure sensor is used to detect the first intake air pressure value, the first dew point meter is used to detect the first intake air dew point value, and the first flow meter is used to detect the first intake air flow value.

[0013] According to some embodiments of the present invention, the modular dryer cluster intelligent controller further includes a communication module, a control chip and a human-computer interaction interface, the control chip is connected to the human-computer interaction interface, the communication module, the first temperature sensor, the first pressure sensor, the first dew point meter and the first flow meter, the human-computer interaction interface is used to display the target air parameters and the target operating state of each of the dryers, and the control chip is used to adjust the target operating state of each of the dryers;

[0014] The air inlet end of each of the dryers is provided with a second pressure sensor and a second temperature sensor, the air outlet end of each of the dryers is provided with a second dew point meter, each of the dryers is communicatively connected to the communication module, and the dryer sends the second air inlet pressure value collected by the second pressure sensor, the second air inlet temperature value collected by the second temperature sensor, and the second air outlet dew point value collected by the second dew point meter to the control chip through the communication module.

[0015] According to some embodiments of the present invention, a first filter is disposed at an air inlet end of each of the dryers, and a second filter is disposed at an air outlet end of each of the dryers.

[0016] In a second aspect, an embodiment of the present invention provides a control method for applying the multi-module dryer cluster intelligent control system described in the first aspect, comprising:

[0017] When each air compressor is in operation, periodically obtain target air parameters and the adsorbent filling amount of each dryer, wherein the target air parameters include a first intake temperature value, a first intake pressure value, a first intake dew point value, and a first intake flow value of the compressed air output by the energy storage gas tank;

[0018] When the target air parameter does not meet the preset operating condition parameter, the target operating state of at least one of the dryers is adjusted according to the target air parameter and the adsorbent filling amount.

[0019] According to some embodiments of the present invention, adjusting the target operating state of at least one of the dryers according to the target air parameter and the adsorbent filling amount includes:

[0020] determining an adsorbent difference value based on a difference between the target air parameter and the preset operating condition parameter;

[0021] determining at least one target dryer based on the adsorbent difference value and the adsorbent filling amount of each of the dryers, wherein the sum of the adsorbent filling amounts of all the target dryers is greater than or equal to the adsorbent difference value;

[0022] When the adsorbent difference value is used to indicate excess drying, sending a shutdown instruction to the target dryer;

[0023] When the adsorbent difference value is used to indicate insufficient drying, a start instruction is sent to the target dryer.

[0024] According to some embodiments of the present invention, the air inlet end of each dryer is provided with a second pressure sensor and a second temperature sensor, and the air outlet end of each dryer is provided with a second dew point meter, the second pressure sensor is used to collect a second air inlet pressure value, the second temperature sensor is used to collect a second air inlet temperature value, and the second dew point meter is used to collect a second outlet dew point value.

[0025] After adjusting the target operating state of at least one of the dryers according to the target air parameter and the adsorbent filling amount, the method further includes:

[0026] determining a pressure average value based on a plurality of the second intake air pressure values, determining a temperature average value based on a plurality of the second intake air temperature values, and determining a dew point average value based on a plurality of the second outlet air dew point values;

[0027] Determine a pressure contrast value based on the sum of the pressure average value and a preset pressure deviation value, determine a temperature contrast value based on the sum of the temperature average value and a preset temperature deviation value, and determine a dew point contrast value based on the sum of the dew point average value and a preset dew point deviation value;

[0028] When at least one faulty dryer is determined from the plurality of dryers based on the pressure comparison value, the temperature comparison value and the dew point comparison value, wherein the second air inlet pressure value of the faulty dryer is greater than the pressure comparison value, and / or the second air inlet temperature value of the faulty dryer is greater than the temperature comparison value, and / or the second air outlet dew point value of the faulty dryer is greater than the dew point comparison value;

[0029] Based on the adsorbent filling amount of the faulty dryer, at least one substitute dryer is determined from the unstarted dryers, a stop command is sent to the faulty dryer, and a start command is sent to the substitute dryer.

[0030] According to some embodiments of the present invention, the modular dryer cluster intelligent controller further includes a human-computer interaction interface.

[0031] After adjusting the target operating state of at least one of the dryers according to the target air parameter and the adsorbent filling amount, the method further includes:

[0032] Displaying the target air parameters and the preset operating condition parameters in real time on the human-computer interaction interface;

[0033] The operating status of each of the dryers is updated in real time on the human-machine interaction interface.

[0034] In the third aspect, an embodiment of the present invention provides a multi-module dryer cluster intelligent control device, comprising at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions executable by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the multi-module dryer cluster intelligent control method as described in the second aspect above.

[0035] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the multi-module dryer cluster intelligent control method as described in the second aspect above.

[0036] The multi-module dryer cluster intelligent control method according to the embodiment of the present invention has at least the following beneficial effects: multiple air compressors; multiple air compressors and multiple dryers; a pressure-stabilizing gas tank, the outlet ends of multiple air compressors are connected in parallel to the inlet end of the pressure-stabilizing gas tank through a first mother pipe, and the inlet ends of multiple dryers are connected in parallel to the outlet end of the pressure-stabilizing gas tank through a second mother pipe; an energy storage gas tank, the outlet ends of multiple dryers are connected in parallel to the inlet end of the energy storage gas tank through a third mother pipe; a modular dryer cluster intelligent controller, the modular dryer cluster intelligent The air inlet of the controller is connected to the air outlet of the energy storage tank, and the air outlet of the modular dryer cluster intelligent controller is connected to an external gas-using device; the modular dryer cluster intelligent controller is used to detect the target air parameters of the compressed air input from the energy storage tank, and adjust the target operating state of at least one of the dryers based on the target air parameters and the adsorbent filling amount of each dryer, wherein the target air parameters include the first air inlet temperature value, the first air inlet pressure value, the first air inlet dew point value and the first air inlet flow value of the compressed air. According to the technical solution of the embodiment of the present invention, it is possible to realize a multi-to-multi parallel connection of air compressors and dryers through a pressure-stabilizing gas tank, a first main pipe and a second main pipe, and to converge the outputs of all dryers through an energy storage tank. Through the parameters of the compressed air output by the energy storage tank, the number of dryer starts can be dynamically adjusted under the premise of maintaining the full operation of the air compressor, so as to realize the flexible adjustment of the regeneration energy consumption of the dryer under non-full load state in the production area, realize the flexible configuration of the drying capacity, and improve the energy consumption utilization rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the architecture of a multi-module dryer cluster intelligent control system provided by an embodiment of the present invention;

[0038] Figure 2 This is a connection diagram of a modular dryer cluster intelligent controller provided by an embodiment of the present invention;

[0039] Figure 3 This is a system architecture diagram of a modular dryer cluster intelligent controller provided by an embodiment of the present invention;

[0040] Figure 4 is a flow chart of a multi-module dryer cluster intelligent control method provided by another embodiment of the present invention;

[0041] Figure 5 It is a structural diagram of a multi-module dryer cluster intelligent control device provided by another embodiment of the present invention.

[0042] Description of reference numerals:

[0043] 1 air compressor; 21 first main pipe; 22 second main pipe; 23 third main pipe; 3 pressure-stabilizing gas tank; 4 dryer; 41 first filter; 42 second filter; 5 energy storage gas tank; 6 modular dryer cluster intelligent controller; 60 control chip; 61 first temperature sensor; 62 first pressure sensor; 63 first dew point meter; 64 first flow meter; 65 human-computer interaction interface; 66 communication module; 67 host computer. DETAILED DESCRIPTION

[0044] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0045] In the description of the present invention, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., and orientations or positional relationships indicated are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention 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 invention.

[0046] In the description of the present invention, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0047] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0048] The embodiment of the present invention provides a multi-module dryer cluster intelligent control system and method, device, and storage medium, wherein the multi-module dryer cluster intelligent control system includes: multiple air compressors and multiple dryers; a pressure-stabilizing gas tank, wherein the air outlet ends of the multiple air compressors are connected in parallel to the air inlet end of the pressure-stabilizing gas tank through a first mother pipe, and the air inlet ends of the multiple dryers are connected in parallel to the air outlet end of the pressure-stabilizing gas tank through a second mother pipe; an energy storage gas tank, wherein the air outlet ends of the multiple dryers are connected in parallel to the air inlet end of the energy storage gas tank through a third mother pipe; a modular dryer cluster intelligent controller, wherein the modular The air inlet of the dryer cluster intelligent controller is connected to the air outlet of the energy storage gas tank, and the air outlet of the modular dryer cluster intelligent controller is connected to an external gas-using device; the modular dryer cluster intelligent controller is used to detect the target air parameters of the compressed air input from the energy storage gas tank, and adjust the target operating state of at least one of the dryers based on the target air parameters and the adsorbent filling amount of each dryer, wherein the target air parameters include the first air inlet temperature value, the first air inlet pressure value, the first air inlet dew point value and the first air inlet flow value of the compressed air. According to the technical solution of the embodiment of the present invention, it is possible to realize a multi-to-multi parallel connection of air compressors and dryers through a pressure-stabilizing gas tank, a first main pipe and a second main pipe, and to converge the outputs of all dryers through an energy storage gas tank. Through the parameters of the compressed air output by the energy storage gas tank, the number of dryer starts can be dynamically adjusted under the premise of maintaining the full operation of the air compressor, so as to realize the flexible adjustment of the regeneration energy consumption of the dryer under non-full load state in the production area, realize the flexible configuration of the drying capacity, and improve the energy consumption utilization rate.

[0049] First, refer to Figure 1 , Figure 1 The schematic diagram of the architecture of the multi-module dryer cluster intelligent control system provided in this embodiment includes:

[0050] Multiple air compressors 1;

[0051] Multiple dryers 4;

[0052] The gas outlets of the pressure-stabilizing gas tank 3 are connected in parallel to the gas inlet of the pressure-stabilizing gas tank 3 through the first mother pipe 21, and the gas inlet of the plurality of dryers 4 is connected in parallel to the gas outlet of the pressure-stabilizing gas tank 3 through the second mother pipe 22;

[0053] The gas outlet of the energy storage gas tank 5 and the plurality of dryers 4 are connected in parallel to the gas inlet of the energy storage gas tank 5 through the third main pipe 23;

[0054] A modular dryer cluster intelligent controller 6, wherein the air inlet end of the modular dryer cluster intelligent controller 6 is connected to the air outlet end of the energy storage gas tank 5, and the air outlet end of the modular dryer cluster intelligent controller 6 is connected to an external gas-using device;

[0055] The modular dryer cluster intelligent controller 6 is used to detect the target air parameters of the compressed air input from the energy storage tank 5, and adjust the target operating state of at least one dryer 4 based on the target air parameters and the adsorbent filling amount of each dryer 4, wherein the target air parameters include a first intake temperature value, a first intake pressure value, a first intake dew point value and a first intake flow value of the compressed air.

[0056] It should be noted that the present embodiment includes a plurality of air compressors 1 and a plurality of dryers 4, and the number of air compressors 1 and dryers 4 can be equal. Figure 1 The number shown is N, where N is a positive integer greater than 2; of course, the number of air compressors 1 and dryers 4 may also be different. The number of air compressors 1 is determined according to the volume of the production area, and the number of dryers 4 is determined according to the adsorbent filling amount therein to meet the maximum drying demand of the production area. For example, a dryer 4 with a larger adsorbent filling amount can replace multiple dryers 4 with a smaller adsorbent filling amount. Of course, multiple dryers 4 with a smaller adsorbent filling amount can also be used to replace a dryer 4 with a larger adsorbent filling amount, thereby improving the drying capacity and adjusting the particle size. This embodiment does not limit the specific number of air compressors 1 and dryers 4, as long as it is greater than 2.

[0057] It should be noted that the multiple air compressors 1 are connected in parallel to the air inlet end of the pressure-stabilizing gas tank 3 through the first main pipe 21. Figure 1 As shown, one end of the first mother pipe 21 is provided with a plurality of input ports, and the other end is provided with a confluence port, each input port is connected to an air compressor 1, so as to realize the parallel connection of multiple air compressors 1, and the air extracted by each air compressor 1 is input into the first mother pipe 21 through the input port, and then input into the pressure-stabilizing gas tank 3 through the confluence port for storage. The structure of the second mother pipe 22 is similar, with a shunt port at one end and a plurality of output ports at the other end, each output port being connected to a dryer 4, and the air in the pressure-stabilizing gas tank 3 is evenly distributed to each output port through the shunt port, so as to be input into each dryer 4. The third mother pipe 23 can refer to the structure of the first mother pipe 21, and the outputs of multiple dryers 4 are converged into the energy storage gas tank 5, which will not be repeated here. Through the structure of this embodiment, the air compressor 1 and the dryer 4 can be decoupled from the one-to-one correspondence, with the pressure-stabilizing gas tank 3 as the air input of the overall system, and the energy storage gas tank 5 as the air output of the overall system, and any number of air compressors 1 and dryers 4 are arranged therein, providing a structural basis for the dynamic adjustment of the drying capacity.

[0058] It should be noted that manual opening and closing valves can be set at both ends of the pressure-stabilizing gas tank 3 and the energy storage gas tank 5, and the start-up number of the dryer 4 can be dynamically adjusted through the modular dryer cluster intelligent controller 6, so as to realize dynamic adjustment of the drying capacity under any air intake and outlet conditions, thereby improving the regulation flexibility of the drying system.

[0059] It should be noted that the air compressor 1, the first main pipe 21, the pressure-stabilizing gas tank 3, the second main pipe 22, the dryer 4 and the energy storage tank 5 provide a control basis for the flexible adjustment of the drying capacity. The energy storage tank 5 can store dry air. This embodiment further sets a modular dryer cluster intelligent controller 6 at the outlet of the energy storage tank 5. The modular dryer cluster intelligent controller 6 detects the flow, pressure, temperature and dew point of the compressed air output by the energy storage tank 5 to ensure that the dry air output to the gas-using equipment meets the requirements in all dimensions. The embodiment uses the preset working condition parameters as the demand of the gas-using equipment for dry air. The preset working condition parameters may also include parameters such as flow, pressure, temperature and dew point, which can be the same as the target air parameters.

[0060] It should be noted that, in this embodiment, after obtaining the first intake temperature value, the first intake pressure value, the first intake dew point value and the first intake flow rate value through the compressed air of the modular dryer cluster intelligent controller, if the above parameters cannot meet the preset operating condition parameters, then the multiple front dryers 4 that are being started cannot meet the demand. For example, excess drying capacity causes the first intake dew point value to be too low, which requires shutting down several dryers 4 to save energy. For another example, insufficient drying capacity leads to insufficient output of compressed air, which may be manifested in a small first intake pressure value or an insufficient first intake flow rate value, which requires adding several dryers 4 to meet the gas demand.

[0061] It is worth noting that, since the air extracted by the air compressor 1 is stored in the pressure-stabilizing gas tank 3, the present embodiment only involves the adjustment of the drying capacity, and the adjustment of the drying capacity can be achieved by turning on and off any number of dryers 4. For example, in the case of 5 dryers 4 and 5 air compressors 1, the 5 air compressors 1 can adjust the air extraction volume according to the demand for air flow, and the drawn humid air is stored in the pressure-stabilizing gas tank 3, and the pressure-stabilizing gas tank 3 distributes the humid air to the 5 dryers 4 through the second mother pipe 22. When the modular dryer cluster intelligent controller 6 determines that the drying capacity is excessive based on the detection of compressed air, it turns off two of the dryers 4, and the operation of the air compressor 1 does not need to be adjusted. Since two dryers 4 are shut down, the humid air output by the pressure-stabilizing gas tank 3 is evenly distributed to the three dryers 4 for drying; if after running for a period of time, the modular dryer cluster intelligent controller 6 determines that the drying capacity is insufficient, one or two of the two dryers 4 that are in a closed state are turned on (the specific number is determined according to the target air parameters), thereby improving the drying capacity of the overall system and achieving flexible adjustment of the drying capacity.

[0062] It should be noted that the modular dryer cluster intelligent controller 6 has a certain computing power. Since the adsorbent filling amount of each dryer 4 is fixed, it can be used as a fixed value to characterize the drying capacity of a single dryer 4. Of course, this embodiment does not limit whether the adsorbent filling amount of each dryer 4 is equal. The adsorbent filling amount of each dryer 4 can be preset in the modular dryer cluster intelligent controller 6, and the control strategy can be set according to actual needs, so that the modular dryer cluster intelligent controller 6 can determine the adsorbent difference value that meets the conditions according to the control strategy after detecting the first intake temperature value, the first intake pressure value, the first intake dew point value and the first intake flow value. When the adsorbent difference value is positive, the number of dryers that need to be turned on and the specific target dryers 4 that need to be turned on are calculated according to the adsorbent filling amount of the dryers 4 that are not turned on. When the adsorbent difference value is negative, several dryers 4 are turned off in the same way. This embodiment provides a structural basis for the flexible control of the dryer 4 through a specific system architecture. The specific control strategy can be set according to actual needs, and no further limitations are made here.

[0063] Through the technical solution of this embodiment, Figure 1 As shown, multiple air compressors 1 are connected in parallel through a first main pipe 21 to store gas in a pressure-stabilizing gas tank 3, and then distributed to each dryer 4 through a second main pipe 22. The dried compressed air is concentrated in an energy storage gas tank 5 through a third main pipe 23 and then output to gas-consuming equipment. The modular dryer cluster intelligent controller 6 monitors the total flow, dew point, pressure, temperature and other information of the compressed air in real time and performs calculation and analysis, selects an appropriate amount of adsorbent, and controls the number of 4 groups of modular dryers that start and stop corresponding adsorbent filling amounts.

[0064] In addition, in one embodiment, referring to Figure 2 The air inlet end of the modular dryer cluster intelligent controller 6 is provided with a first temperature sensor 61, a first pressure sensor 62, a first dew point meter 63 and a first flow meter 64. The first temperature sensor 61 is used to detect the first air inlet temperature value, the first pressure sensor 62 is used to detect the first air inlet pressure value, the first dew point meter 63 is used to detect the first air inlet dew point value, and the first flow meter 64 is used to detect the first air inlet flow value.

[0065] It should be noted that the energy storage tank 5 outputs compressed air to the modular dryer cluster intelligent controller 6 through a pipeline, so at least one air pipeline is provided in the modular dryer cluster intelligent controller 6. Figure 2 As shown, a first temperature sensor 61, a first pressure sensor 62, and a first dew point meter 63 are arranged in the air pipeline, and a first flow meter 64 is arranged at the end of the pipeline, so as to complete the detection of the first intake air temperature value, the first intake air pressure value, the first intake air dew point value and the first intake air flow value.

[0066] In this embodiment, the target air parameters of the output compressed air are used as the judgment standard for whether the drying capacity meets the demand. The flow meter, temperature sensor, pressure sensor and dew point meter can provide the modular dryer cluster intelligent controller 6 with real-time flow, temperature, pressure and dew point data of the compressed air respectively. After calculation, analysis and judgment, the number of dryers 4 with corresponding adsorbent filling amounts can be controlled to start and stop within a preset time period.

[0067] In addition, in one embodiment, referring to Figure 3 The modular dryer cluster intelligent controller 6 also includes a communication module 66, a control chip 60 and a human-machine interface 65. The control chip 60 is connected to the human-machine interface 65, the communication module 66, the first temperature sensor 61, the first pressure sensor 62, the first dew point meter 63 and the first flow meter 64. The human-machine interface 65 is used to display the target air parameters and the target operating state of each dryer 4. The control chip 60 is used to adjust the target operating state of each dryer 4.

[0068] The air inlet end of each dryer 4 is provided with a second pressure sensor and a second temperature sensor, and the air outlet end of each dryer 4 is provided with a second dew point meter. Each dryer 4 is communicatively connected with the communication module 66, and the dryer 4 sends the second air inlet pressure value collected by the second pressure sensor, the second air inlet temperature value collected by the second temperature sensor, and the second air outlet dew point value collected by the second dew point meter to the control chip 60 through the communication module 66.

[0069] It should be noted that the modular dryer cluster intelligent controller 6 is an integrated control module, such as Figure 3As shown, the modular dryer cluster intelligent controller 6 includes a communication module 66, a control chip 60 and a human-machine interface 65. The communication module 66 can be a conventional wired or wireless module, and the specific communication form can be selected according to the actual setting requirements of the dryer 4. The control chip 60 can be a microprocessor and a data signal processor, and it can have a certain computing power; the human-machine interface 65 can be a touch screen, and the operator can determine the current target operating state of each dryer 4 through the human-machine interface 65, and monitor the system operation status in real time.

[0070] It should be noted that a second pressure sensor and a second temperature sensor are provided in the dryer 4 to monitor the air intake state of the dryer 4, and a second dew point meter is provided at the output end of the dryer 4 to detect the second outlet dew point value of the dried compressed air. The dryer 4 is connected to the communication module 66, so the second air intake temperature value, the second air intake pressure value and the second outlet dew point value can be sent to the control chip 60, so that the control chip 60 can apply the above parameters, for example, based on the second air intake temperature value, the second air intake pressure value and the second outlet dew point value of the above dryer 4, fault detection can be performed, and real-time notification can be given when a fault occurs in the dryer 4, and a substitute dryer 4 can be selected based on the flexible adjustment system of this embodiment to ensure drying performance.

[0071] In addition, in one embodiment, referring to Figure 1 A first filter 41 is provided at the air inlet end of each dryer 4 , and a second filter 42 is provided at the air outlet end of each dryer 4 .

[0072] It should be noted that a first filter 41 is provided at the air inlet end of each dryer 4, which can filter out impurities in the air diverted from the pressure-stabilizing gas tank 3, and prevent impurities from entering the dryer 4 to cause air pollution and damage the dryer 4. A second filter 42 is provided at the air outlet end of the dryer 4, which can perform secondary filtration on the dry air, and ensure the cleanliness of the dry air input into the energy storage gas tank 5.

[0073] It should be noted that the modular dryer cluster intelligent controller 6 can also be connected to a host computer 67, a power supply, a data storage device, etc., and the specific control strategy and the combination status of each dryer 4 can be input through the host computer 67, and the collected parameters can be stored through the data storage device. No further details will be given here.

[0074] In addition, the embodiment of the present invention also provides a control method using the multi-module dryer 4 cluster intelligent control system as described above, referring to Figure 4 The control method includes but is not limited to the following steps:

[0075] S10, when each air compressor is in operation, periodically obtaining target air parameters and the adsorbent filling amount of each dryer, wherein the target air parameters include a first intake temperature value, a first intake pressure value, a first intake dew point value, and a first intake flow value of the compressed air output by the energy storage gas tank;

[0076] S20, when the target air parameter does not meet the preset operating condition parameter, adjusting the target operating state of at least one dryer according to the target air parameter and the adsorbent filling amount.

[0077] It should be noted that in the above embodiments, Figures 1 to 3 The system structure of the illustrated embodiment will not be repeated here.

[0078] It should be noted that, when the dryer 4 is flexibly adjusted in this embodiment, the air compressor 1 does not need to be adjusted synchronously, and the air compressor 1 can maintain operation according to the currently set operating state.

[0079] It should be noted that the production area is usually a larger area, and the air flow in the production area is not constant. Therefore, this embodiment adopts a periodic detection strategy, and can collect the target air parameters once according to the preset period, so as to adjust the drying capacity in time.

[0080] It should be noted that after obtaining the target air parameters, when the target air parameters meet the preset operating parameters, no adjustment is required, and the current operating state of each dryer 4 can be maintained. When the target air parameters do not meet the preset operating parameters, it may be that the drying capacity is insufficient or the drying capacity is excessive. This embodiment is based on the premise that the sum of the drying capacities of multiple dryers 4 can meet the drying needs of the production area. The drying capacity may be insufficient after shutting down several dryers 4, so the drying capacity can be increased by starting more dryers 4; at the same time, if the number of started dryers 4 is too large, there will be excess drying capacity and high energy consumption, so several dryers 4 can be shut down to reduce energy consumption while meeting the drying needs.

[0081] In addition, in one embodiment, step S20 specifically includes but is not limited to the following steps:

[0082] S21, determining an adsorbent difference value based on a difference between a target air parameter and a preset operating condition parameter;

[0083] S22, determining at least one target dryer based on the adsorbent difference value and the adsorbent filling amount of each dryer, wherein the sum of the adsorbent filling amounts of all the target dryers is greater than or equal to the adsorbent difference value;

[0084] S23, when the adsorbent difference value is used to indicate excess drying, a shutdown command is sent to the target dryer;

[0085] S24, when the adsorbent difference value is used to indicate insufficient drying, a start instruction is sent to the target dryer.

[0086] It should be noted that when determining the number of dryers that need to be started or shut down and the specific target dryers, it can be determined based on the adsorbent filling amount of each dryer. For example, the adsorbent difference value is determined by determining the difference between the target air parameter and the preset operating condition parameter. When the adsorbent filling amount of each dryer is known, the number and specific target dryers that meet the adsorbent difference value can be determined based on the adsorbent filling amount. If the adsorbent filling amount of a certain dryer can meet the difference between the target air parameter and the preset operating condition parameter, the dryer is determined as the target dryer, and a start command is sent to the target dryer when the drying capacity is insufficient, and a shutdown command is sent to the target dryer when the drying capacity is excessive.

[0087] For example, among the five dryers, the first to third dryers are started, and the fourth and fifth dryers are stopped. When the adsorbent difference value is M, where M is a natural number, the adsorbent filling amount of the fourth dryer is M, and the adsorbent filling amount of the fifth dryer is 2M, when the drying capacity is insufficient, the fourth dryer is determined as the target dryer and a start-up command is sent, so that the drying capacity is increased by M to fill the adsorbent difference value; for another example, the adsorbent filling amount of the first dryer is M, the adsorbent filling amount of the second dryer is 2M, and the adsorbent filling amount of the third dryer is 0.5M, when the drying capacity is excessive, the first dryer is determined as the target dryer and a stop command is sent.

[0088] In addition, in one embodiment, after step S20, the method further includes but is not limited to the following steps:

[0089] S31, determining a pressure average value based on a plurality of second intake pressure values, determining a temperature average value based on a plurality of second intake temperature values, and determining a dew point average value based on a plurality of second outlet dew point values;

[0090] S32, determining a pressure comparison value based on a sum of a pressure average value and a preset pressure deviation value, determining a temperature comparison value based on a sum of a temperature average value and a preset temperature deviation value, and determining a dew point comparison value based on a sum of a dew point average value and a preset dew point deviation value;

[0091] S33, when at least one faulty dryer is determined from a plurality of dryers based on the pressure comparison value, the temperature comparison value and the dew point comparison value, wherein a second air inlet pressure value of the faulty dryer is greater than the pressure comparison value, and / or a second air inlet temperature value of the faulty dryer is greater than the temperature comparison value, and / or a second air outlet dew point value of the faulty dryer is greater than the dew point comparison value;

[0092] S34, based on the adsorbent filling amount of the faulty dryer, determining at least one substitute dryer from the unstarted dryers, sending a stop command to the faulty dryer, and sending a start command to the substitute dryer.

[0093] It should be noted that according to Figures 1 to 3 According to the description of the illustrated embodiment, each dryer 4 is provided with a second temperature sensor, a second pressure sensor and a second dew point meter. Since the embodiment can flexibly adjust the start and stop of the dryer 4, it can automatically adjust in the event of an operational failure of the dryer 4, shut down the failed dryer 4, determine at least one substitute dryer among the unstarted dryers 4 and send a start command, thereby ensuring the air drying capacity of the production area and improving the intelligence of the system.

[0094] It should be noted that, in this embodiment, the comparison value is determined by the sum of the average value of all dryers 4 and the preset deviation value to allow the sensor to have a certain detection deviation. Since the second main pipe 22 can achieve flow balancing, that is, the air intake volume of each dryer 4 should be the same, when the second air intake pressure value of any dryer 4 is greater than the pressure comparison value, it can be determined that the dryer 4 has a fault and is determined to be a faulty dryer. The same is true based on the comparison between the second temperature value and the second outlet dew point value, which will not be repeated here.

[0095] It should be noted that, since the drying capacity of each dryer 4 may be different, after shutting down a faulty dryer, at least one substitute dryer may be started to ensure that the adsorbent filling amount of the faulty dryer is equal to the sum of the adsorbent filling amounts of the substitute dryers.

[0096] In addition, in one embodiment, after step S20, the method further includes but is not limited to the following steps:

[0097] S41, displaying the target air parameters and preset working condition parameters in real time on the human-computer interaction interface;

[0098] S42, updating the operating status of each dryer 4 in real time on the human-machine interaction interface.

[0099] It should be noted that if Figure 3 As shown, the modular dryer cluster intelligent controller 6 of this embodiment is provided with a human-machine interaction interface 65, which can display the target air parameters and the operating status of each dryer 4, thereby providing visual monitoring conditions for the operator and improving the monitoring effect of the system.

[0100] like Figure 5 As shown, Figure 5 : is a structural diagram of a multi-module dryer cluster intelligent control device provided by an embodiment of the present invention. The present invention also provides a multi-module dryer cluster intelligent control device, including:

[0101] The processor 501 may be implemented by a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0102] The memory 502 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 502 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 502, and the processor 501 calls and executes the multi-module dryer cluster intelligent control method of the embodiment of this application;

[0103] Input / output interface 503, used to implement information input and output;

[0104] Communication interface 504, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WI FI, Bluetooth, etc.);

[0105] A bus 505 that transmits information between the various components of the device (e.g., the processor 501, the memory 502, the input / output interface 503, and the communication interface 504);

[0106] The processor 501 , the memory 502 , the input / output interface 503 and the communication interface 504 are connected to each other in communication within the device via the bus 505 .

[0107] An embodiment of the present application also provides an electronic device, including the multi-module dryer cluster intelligent control device as described above.

[0108] The embodiment of the present application further provides a storage medium, which is a computer-readable storage medium. The storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned multi-module dryer cluster intelligent control method is implemented.

[0109] As a non-transient computer-readable storage medium, the memory can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage devices. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and are implemented to be located in one place, or may also be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0110] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0111] The above is a specific description of the preferred implementation of the present invention, but the present invention is not limited to the above-mentioned implementation mode. Technical personnel familiar with the field can also make various equivalent deformations or substitutions under the shared conditions without violating the spirit of the present invention. These equivalent deformations or substitutions are all included in the scope defined by the claims of the present invention.

Claims

1. A multi-module dryer cluster intelligent control system, characterized in that: include: Multiple air compressors; Multiple dryers; A pressure-stabilizing gas tank, the gas outlets of the plurality of air compressors are connected in parallel to the gas inlet of the pressure-stabilizing gas tank through a first main pipe, and the gas inlet of the plurality of dryers are connected in parallel to the gas outlet of the pressure-stabilizing gas tank through a second main pipe; Energy storage gas tank, the gas outlet ends of the plurality of dryers are connected in parallel to the gas inlet end of the energy storage gas tank through a third main pipe; A modular dryer cluster intelligent controller, wherein the air inlet end of the modular dryer cluster intelligent controller is connected to the air outlet end of the energy storage gas tank, and the air outlet end of the modular dryer cluster intelligent controller is connected to an external gas-using device; The modular dryer cluster intelligent controller is used to detect target air parameters of the compressed air input from the energy storage tank, and adjust the target operating state of at least one of the dryers based on the target air parameters, the adsorbent filling amount of each of the dryers and preset operating parameters, wherein the target air parameters include a first intake temperature value, a first intake pressure value, a first intake dew point value and a first intake flow value of the compressed air.

2. The multi-module dryer cluster intelligent control system according to claim 1 is characterized in that: The air intake end of the modular dryer cluster intelligent controller is provided with a first temperature sensor, a first pressure sensor, a first dew point meter and a first flow meter. The first temperature sensor is used to detect the first air intake temperature value, the first pressure sensor is used to detect the first air intake pressure value, the first dew point meter is used to detect the first air intake dew point value, and the first flow meter is used to detect the first air intake flow value.

3. The multi-module dryer cluster intelligent control system according to claim 2 is characterized in that: The modular dryer cluster intelligent controller further includes a communication module, a control chip and a human-computer interaction interface, wherein the control chip is connected to the human-computer interaction interface, the communication module, the first temperature sensor, the first pressure sensor, the first dew point meter and the first flow meter, the human-computer interaction interface is used to display the target air parameters and the target operating state of each of the dryers, and the control chip is used to adjust the target operating state of each of the dryers; The air inlet end of each of the dryers is provided with a second pressure sensor and a second temperature sensor, the air outlet end of each of the dryers is provided with a second dew point meter, each of the dryers is communicatively connected to the communication module, and the dryer sends the second air inlet pressure value collected by the second pressure sensor, the second air inlet temperature value collected by the second temperature sensor, and the second air outlet dew point value collected by the second dew point meter to the control chip through the communication module.

4. The multi-module dryer cluster intelligent control system according to claim 1 is characterized in that: The air inlet end of each dryer is provided with a first filter, and the air outlet end of each dryer is provided with a second filter.

5. A control method using the multi-module dryer cluster intelligent control system according to any one of claims 1 to 4, characterized in that: include: When each air compressor is in operation, periodically obtain target air parameters and the adsorbent filling amount of each dryer, wherein the target air parameters include a first intake temperature value, a first intake pressure value, a first intake dew point value, and a first intake flow value of the compressed air output by the energy storage gas tank; When the target air parameter does not meet the preset operating condition parameter, the target operating state of at least one of the dryers is adjusted according to the target air parameter and the adsorbent filling amount.

6. The control method according to claim 5, characterized in that: The step of adjusting the target operating state of at least one of the dryers according to the target air parameter and the adsorbent filling amount comprises: determining an adsorbent difference value based on a difference between the target air parameter and the preset operating condition parameter; determining at least one target dryer based on the adsorbent difference value and the adsorbent filling amount of each of the dryers, wherein the sum of the adsorbent filling amounts of all the target dryers is greater than or equal to the adsorbent difference value; When the adsorbent difference value is used to indicate excess drying, sending a shutdown instruction to the target dryer; When the adsorbent difference value is used to indicate insufficient drying, a start instruction is sent to the target dryer.

7. The control method according to claim 5, characterized in that: The air inlet end of each dryer is provided with a second pressure sensor and a second temperature sensor, and the air outlet end of each dryer is provided with a second dew point meter, wherein the second pressure sensor is used to collect a second air inlet pressure value, the second temperature sensor is used to collect a second air inlet temperature value, and the second dew point meter is used to collect a second air outlet dew point value. After adjusting the target operating state of at least one of the dryers according to the target air parameter and the adsorbent filling amount, the method further includes: determining a pressure average value based on a plurality of the second intake air pressure values, determining a temperature average value based on a plurality of the second intake air temperature values, and determining a dew point average value based on a plurality of the second outlet air dew point values; Determine a pressure contrast value based on the sum of the pressure average value and a preset pressure deviation value, determine a temperature contrast value based on the sum of the temperature average value and a preset temperature deviation value, and determine a dew point contrast value based on the sum of the dew point average value and a preset dew point deviation value; When at least one faulty dryer is determined from the plurality of dryers based on the pressure comparison value, the temperature comparison value and the dew point comparison value, wherein the second air inlet pressure value of the faulty dryer is greater than the pressure comparison value, and / or the second air inlet temperature value of the faulty dryer is greater than the temperature comparison value, and / or the second air outlet dew point value of the faulty dryer is greater than the dew point comparison value; Based on the adsorbent filling amount of the faulty dryer, at least one substitute dryer is determined from the unstarted dryers, a stop command is sent to the faulty dryer, and a start command is sent to the substitute dryer.

8. The control method according to claim 5, characterized in that: The modular dryer cluster intelligent controller also includes a human-computer interaction interface. After adjusting the target operating state of at least one of the dryers according to the target air parameter and the adsorbent filling amount, the method further includes: Displaying the target air parameters and the preset operating condition parameters in real time on the human-computer interaction interface; The operating status of each of the dryers is updated in real time on the human-machine interaction interface.

9. A multi-module dryer cluster intelligent control device, characterized in that: It includes at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions that can be executed by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the multi-module dryer cluster intelligent control method as described in any one of claims 5 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the multi-module dryer cluster intelligent control method according to any one of claims 5 to 8.

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