CN109026649A - Data acquisition device and operation management method - Google Patents

Abstract

The application provides a data acquisition device and an operation management method. The device is applied to a compressed air system including at least one air compressor unit. The device includes connected acquisition unit, preprocessing unit, edge computing manager, monitoring and closed-loop control unit. The acquisition unit communicates with the controller in each air compressor unit and the sensor in the compressed air system to obtain initial acquisition data including analog data, switch data and sensor detection data. The preprocessing unit is used for preprocessing the initial collected data to obtain preprocessed collected data. The edge computing manager is configured to perform edge computing on the preprocessed collected data to obtain a first processing result. The monitoring and closed-loop control unit is used to send a first optimization adjustment instruction to the controller according to the first processing result, so as to optimize the operation process of the compressed air system. Thus, the device optimizes the operation of the compressed air system based on edge computing and closed-loop control.

Description

Data acquisition device and operation management method

technical field

The present application relates to the technical field of the Internet of Things, and in particular, to a data acquisition device and an operation management method.

Background technique

At present, when monitoring the compressed air system, the main way is to obtain data from the controller in each air compressor unit as collected data, and then monitor the status of each air compressor unit based on the collected data. Wherein, the collected data is for each air compressor unit, that is to say, the above state monitoring is only for a single air compressor unit. As a result, the above method can only monitor the operating state of a single air compressor unit.

Contents of the invention

In order to overcome the above-mentioned deficiencies in the prior art, the purpose of the embodiment of the present application is to provide a data acquisition device and an operation management method, which can acquire data including analog data and switch data through sensors and controllers in the air compressor unit. And the initial collection data of sensor detection data to monitor the operation status of the entire compressed air system, and then perform edge calculation and closed-loop control based on the initial collection data, so as to optimize the operation process of the compressed air system.

In the first aspect, the embodiment of the present application provides a data acquisition device, which is applied to a compressed air system, the compressed air system includes at least one air compressor unit, and the device includes an acquisition unit, a preprocessing unit, an edge computing manager, monitoring and closed-loop control unit,

The acquisition unit communicates with the controller in each of the air compressor units and the sensor provided in the compressed air system to obtain initial acquisition data, wherein the initial acquisition data includes analog data, switch Quantitative data and sensor detection data;

The preprocessing unit is connected in communication with the collection unit, and is used for preprocessing the initial collection data to obtain preprocessed collection data, wherein the preprocessing includes eliminating abnormal data;

The edge computing manager is communicatively connected to the preprocessing unit, and is used to perform edge computing on the preprocessed collected data to obtain a first processing result;

The monitoring and closed-loop control unit communicates with the edge computing manager, and is used to send a first optimization adjustment instruction to the controller according to the first processing result, so as to optimize the operation process of the compressed air system .

Optionally, in the embodiment of the present application, the collection unit includes multiple interfaces, and the collection unit is electrically connected to the sensor and the controller through the multiple interfaces to obtain the initial collection data, wherein, The multiple interfaces include any one of RS232 interface, RS485 interface, CAN bus interface, network port, USB interface and any combination thereof.

Optionally, in the embodiment of the present application, the device further includes a data transmission unit,

The edge computing manager is connected in communication with the data transmission unit, and is used to send the preprocessed collected data to the cloud server through the data transmission unit, and receive the cloud server based on the data transmission unit through the data transmission unit. The second processing result sent by the pre-processed collected data;

The monitoring and closed-loop control unit is further configured to send a second optimization adjustment instruction to the controller according to the second processing result sent by the edge computing manager, so as to optimize the operation process of the compressed air system .

Optionally, in the embodiment of the present application, the data transmission unit includes a communication subunit for communicating with the cloud server, and the communication subunit includes a GPRS communication subunit, a 4G communication subunit, an Ethernet communication subunit unit.

Optionally, in the embodiment of the present application, the data transmission unit further includes a protocol conversion subunit,

The protocol conversion subunit is electrically connected with the communication subunit, and is used to convert the protocol of the received data into Modbus protocol or BACnet protocol.

Optionally, in the embodiment of the present application, the device further includes a storage unit and a machine learning unit,

The storage unit is used to store the collected data after preprocessing and edge computing;

The machine learning unit is connected in communication with the storage unit, the preprocessing unit, and the edge computing manager, and is used to perform machine learning based on the first processing result, so as to perform machine learning based on the preprocessing unit stored in the preprocessing unit. The processing model and the edge computing model in the edge computing manager are updated.

Optionally, in the embodiment of the present application, the device further includes an alarm unit,

The alarm unit is communicatively connected with the monitoring and closed-loop control unit, and is used for sending out an alarm signal for reminding staff to perform artificial repair under the control of the monitoring and closed-loop control unit.

Optionally, in the embodiment of the present application, the device includes a communication-connected Internet of Things manager and a data collector, the collection unit is set on the data collector, and the preprocessing unit and the edge computing manager , a monitoring and closed-loop control unit, a data transmission unit, a storage unit, a machine learning unit and an alarm unit are set on the Internet of Things manager.

Optionally, in the embodiment of the present application, the data collector and the Internet of Things manager perform data transmission in a wired or wireless manner.

In the second aspect, the embodiment of the present application provides an operation management method, which is applied to the data collection device, and the method includes:

The initial collection data is obtained through the controller in each of the air compressor units and the sensors arranged in the compressed air system, wherein the initial collection data includes analog data, switch data and sensor detection data;

Preprocessing the initial collected data to obtain preprocessed collected data, wherein the preprocessing includes eliminating abnormal data;

performing edge computing on the preprocessed collected data to obtain a first processing result;

Sending a first optimization adjustment instruction to the controller based on the first processing result, so as to optimize the operation process of the compressed air system.

Compared with the prior art, the present application has the following beneficial effects:

To sum up, the embodiments of the present application provide a data acquisition device and an operation management method, the device is applied to a compressed air system, and the compressed air system includes at least one air compressor unit. The device includes a collection unit, a preprocessing unit, an edge computing manager, a monitoring and closed-loop control unit. The acquisition unit can obtain the initial acquisition data including analog quantity data, switch quantity data and sensor detection data by communicating with the controller in each of the air compressor units and the sensors arranged in the compressed air system . The preprocessing unit obtains the initial collection data by communicating with the collection unit, and performs preprocessing on the initial collection data to obtain preprocessed collection data, wherein the preprocessing includes eliminating abnormal data. The edge computing manager is communicatively connected to the preprocessing unit, and is configured to perform edge computing on the preprocessed collected data obtained after being preprocessed by the preprocessing unit, to obtain a first processing result. The monitoring and closed-loop control unit communicated with the edge computing manager is used to send a first optimization adjustment instruction to the controller according to the first processing result, so as to optimize the operation process of the compressed air system . In this way, the initial collection data including the relevant information of each component unit in each air compressor unit can be obtained, so as to realize the status monitoring and data collection of the entire compressed air system; and edge calculation and closed-loop control are performed based on the initial collection data, To optimize the operation of the compressed air system.

In order to make the above purpose, features and advantages of the application more obvious and easy to understand, the preferred embodiments of the application are specifically cited below, together with the accompanying drawings, and described in detail as follows.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the accompanying drawings used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, so It should be regarded as a limitation on the scope, and those skilled in the art can also obtain other related drawings based on these drawings without creative work.

FIG. 1 is one of the schematic block diagrams of a data acquisition device provided by an embodiment of the present application.

Fig. 2 is the second schematic block diagram of the data acquisition device provided by the embodiment of the present application.

FIG. 3 is a schematic block diagram of the data transmission unit in FIG. 2 .

Fig. 4 is the third schematic block diagram of the data acquisition device provided by the embodiment of the present application.

Fig. 5 is a fourth schematic block diagram of the data collection device provided by the embodiment of the present application.

Fig. 6 is a schematic flowchart of the operation management method provided by the embodiment of the present application.

Icon: 100-data acquisition device; 110-acquisition unit; 120-preprocessing unit; 130-edge computing manager; 140-monitoring and closed-loop control unit; 150-data transmission unit; 151-communication subunit; 152-protocol conversion Subunit; 160-storage unit; 170-machine learning unit; 180-alarm unit; 200-cloud server.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of the present application.

It should be noted that like numerals and letters denote similar items in the following figures, therefore, once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second" and the like are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

Please refer to FIG. 1 , which is one of the schematic block diagrams of a data collection device 100 provided in an embodiment of the present application. The data acquisition device 100 is applied to an air compression system. The air compression system includes a pipeline system, at least one air compressor unit, a main air pipe connected to all air compressor units and a user terminal, and each air compressor unit may include an air compressor, an air storage tank, a dryer, Air distribution pipe, etc., wherein at least two air units can share one air distribution pipe. The data acquisition device 100 is used to obtain relevant data of each component unit in the air compression system, so as to detect the operation status of the entire compressed air system, and then optimize the operation process of the compressed air system.

In this embodiment, the data collection device 100 may include a collection unit 110 , a preprocessing unit 120 , an edge computing manager 130 and a monitoring and closed-loop control unit 140 . Wherein, each air compressor unit includes at least one controller, and a plurality of sensors are arranged in the whole compressed air system to detect relevant information of some constituent units. The position and quantity of sensors can be set according to actual needs. The collection unit 110 communicates with each controller and each sensor, so as to obtain initial collection data.

Optionally, the initial collection data includes analog data, switch data and sensor detection data. Among them, the analog data and switch data are obtained according to the controller in each compressor unit. The analog data and switch data obtained from the air compressor controller may include, but not limited to, the differential pressure status of the intake filter, the exhaust pressure of the main engine (wet side pressure of the oil and gas barrel), the exhaust temperature of the main engine, and the exhaust gas of the unit. Gas pressure (dry side pressure of oil and gas barrel) or oil partial pressure difference (= wet side pressure - dry side pressure), dry side exhaust temperature, pipe network pressure (or gas storage tank pressure), pressure before oil filter, pressure after oil filter (injection pressure), oil filter pressure difference (difference between pressure before oil filter and pressure after oil filter), lubricating oil injection temperature, cooling water inlet temperature, cooling water discharge temperature, cooling water pressure (or flow switch), Air cooler exhaust temperature, main power status, control power status, main motor overload status, main motor (A, B, C three-phase) current, main motor voltage, fan overload status, fan motor (A, B, C three-phase) Phase) current, fan voltage, unit input power, unit operating status, various fault status, motor front and rear bearing temperature, motor winding temperature, inverter working status and parameters, etc., the set compressor loading and unloading pressure, maintenance parameters etc. The analog data and switch data obtained from the controller of the dryer may include, but not limited to, the inlet pressure of the dryer, the outlet pressure of the dryer, the dew point of the outlet pressure of the dryer, control and fault information, etc.

The sensor detection data obtained by the sensor may include, but not limited to, the pressure before (or after) the pressure reducing valve, the pressure at the user end, the flow rate of a single compressor, the flow rate of the compressed air system, the flow rate of each distribution pipe, and the necessary vibration of equipment or pipelines parameters and other parameters and videos. Among them, what the sensor directly collects can be current, voltage signal or switch value signal.

The preprocessing unit 120 is connected in communication with the collection unit 110, and the preprocessing unit 120 is configured to preprocess the initial collected data according to a pre-configured preprocessing model, so as to obtain preprocessed collected data. Wherein, the preprocessing includes eliminating abnormal data, and the preprocessing rules are set according to actual conditions. For example, the configured preprocessing model is: when the preprocessing unit 120 receives a plurality of initial collection data within 1 minute, there are consecutive a pieces of initial collection data that exceed the normal range, if a is less than the preset threshold b, then the The initial collection data of a is abnormal data caused by the abnormality of the collection device, etc., and needs to be eliminated.

The edge computing manager 130 is connected in communication with the preprocessing unit 120, and the edge computing manager 130 is configured to perform edge computing on the preprocessed collected data, and obtain the calculated data as the first processing result . The monitoring and closed-loop control unit 140 is connected in communication with the edge computing manager 130, and is used to send a first optimization adjustment instruction to the controller in the compressed air system according to the first processing result, so as to adjust the compressed air The operation process of the air system is optimized. Wherein, the edge computing manager 130 stores an edge computing model, and when edge computing is required, the edge computing manager 130 performs edge computing according to the edge computing model, so as to subsequently optimize the operation process of the compressed air system. Thus, the data acquisition device 100 can perform status detection and data acquisition on the entire compressed air system, analyze the performance of the entire compressor system, and has edge computing functions and closed-loop control functions, and can perform state monitoring on the entire compressed air system. optimization. In addition, the data collection device 100 can also be applied in a local area network environment.

In this embodiment, the collection unit 110 may include a plurality of interfaces, based on which the interface is electrically connected with the sensor and the controller, so as to obtain the initial collection data. Wherein, the plurality of interfaces may include, but not limited to, any one of RS232 interface, RS485 interface, CAN bus interface, network port, USB interface and any combination thereof. Thus, even if the data collected by the controllers configured by different air compressor suppliers is different, the collection unit 110 can still completely collect the data in the controllers. Among them, the data acquisition unit 110 also supports mainstream PLC protocols such as Siemens, Omron, Schneider, Mitsubishi, and AB.

Please refer to FIG. 2 . FIG. 2 is the second schematic block diagram of the data acquisition device 100 provided by the embodiment of the present application. The data acquisition device 100 may further include a data transmission unit 150 . When the edge computing manager 130 determines that the received preprocessed data exceeds its own processing capability, the edge computing manager 130 sends the preprocessed data to the cloud server 200, so that the cloud server 200 The preprocessed data is calculated. After the calculation is completed, the cloud server 200 takes the calculated data as the second processing result and sends it to the edge computing manager 130 via the data transmission unit 150 . The monitoring and closed-loop control unit 140 is further configured to send a second optimal adjustment instruction to the controller in the compressed air system based on the second processing result sent by the edge computing manager 130, so as to optimize the adjustment of the compressed air Optimize the operation of the system. Thus, when the pre-processed collected data is large and the data collection device 100 is not used in a local area network, the pre-processed collected data can be sent to the cloud server 200 for processing through the data transmission unit 150, Then receive the second processing result sent by the cloud server 200 after completing the processing. Wherein, the edge computing model in the edge computing manager 130 may be sent by the cloud server 200 .

Optionally, after receiving the preprocessed data, the edge computing manager 130 may send the preprocessed data to the cloud server 200 in real time no matter whether the amount of data exceeds its own computing capability.

Please refer to FIG. 3 , which is a schematic block diagram of the data transmission unit 150 in FIG. 2 . The data transmission unit 150 may include a communication subunit 151 for communicating with the cloud server 200, and the communication subunit 151 may include, but not limited to, a GPRS communication subunit, a 4G communication subunit, an Ethernet communication subunit, etc. . Wherein, each communication sub-unit may be composed of a corresponding circuit, for example, a GPRS communication circuit, a 4G communication circuit, and an Ethernet circuit.

Further, the data transmission unit 150 may also include a protocol conversion subunit 152 . The protocol conversion subunit 152 is electrically connected with the communication subunit 151, and the protocol conversion subunit 152 is used for converting the protocol of the received data into the Modbus protocol or the BACnet protocol. Thus, the data collection device 100 can support various communication protocols. The protocol conversion subunit 152 may be a protocol converter.

The data transmission unit 150 can support: Modbus data release; offline data cache; TLS1.2 encryption; multi-layer, two-way authentication; virtual private network), support for key protection, and no need for a sim card.

Please refer to FIG. 4 . FIG. 4 is a third schematic block diagram of the data collection device 100 provided by the embodiment of the present application. The data acquisition device 100 may further include a storage unit 160 and a machine learning unit 170 . The storage unit 160 is used for storing the collected data after preprocessing and edge calculation, that is, storing the first processing result. The machine learning unit 170 is connected in communication with the storage unit 160, the preprocessing unit 120 and the edge computing manager 130, and is used to perform machine learning based on the first processing result, so as to perform machine learning on the preprocessing unit The preprocessing model stored in 120 and the edge computing model in the edge computing manager 130 are updated. Therefore, based on the machine learning unit 170, the preprocessing model and the edge computing model can be continuously optimized.

Wherein, the storage unit 160 can be a memory, which can be, but not limited to, random access memory (Random Access Memory, RAM), read only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read -Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM), etc.

In this embodiment, the data collection device 100 further includes an alarm unit 180 . The alarm unit 180 is communicatively connected with the monitoring and closed-loop control unit 140 , and is configured to issue an alarm signal for prompting staff to perform artificial repair under the control of the monitoring and closed-loop control unit 140 . Therefore, when there is an abnormality that needs to be repaired manually, the alarm signal can be used to prompt the staff to repair it in time. Optionally, the warning unit 180 may include a display, and the display may display the warning signal, and the warning signal may include information such as abnormal location and abnormal reason.

In one implementation of the embodiment, the acquisition unit 110, the preprocessing unit 120, the edge computing manager 130, the monitoring and closed-loop control unit 140, the data transmission unit 150, the storage unit 160, the machine learning unit 170 and the alarm unit 180 can be Integrated on the same chip, each unit is electrically connected to form the data acquisition device 100 .

In another implementation manner in this embodiment, please refer to FIG. 5 , which is a fourth schematic block diagram of a data collection device 100 provided in an embodiment of the present application. The data acquisition device 100 includes a communication-connected Internet of Things manager and a plurality of data collectors, the acquisition unit 110 is arranged on the data collector, the preprocessing unit 120, the edge computing manager 130, the monitoring and The closed-loop control unit 140, the data transmission unit 150, the storage unit 160, the machine learning unit 170 and the alarm unit 180 are arranged on the IoT manager. Wherein, the data collector and the Internet of Things manager perform data transmission through wired or wireless methods, for example, the data collector can perform data transmission with the physical network manager through data lines, WIFI, 4G and other methods.

Optionally, the data collector can be a MINI data collector with a wireless transmission radius of 5km, which can realize zero-flow data transmission; the physical network manager can be interconnected with up to 64 MINI data collectors within a range of 5km.

Please refer to FIG. 6 . FIG. 6 is a schematic flowchart of an operation management method provided in an embodiment of the present application. The method is applied to the data acquisition device 100 . The specific process of the operation management method will be described in detail below.

Step S110, obtaining initial collection data through the controller in each of the air compressor units and the sensors set in the compressed air system.

Wherein, the initial collection data includes analog data, switch data and sensor detection data.

Step S120, performing preprocessing on the initial collected data to obtain preprocessed collected data.

Wherein, the preprocessing includes eliminating abnormal data.

Step S130, performing edge calculation on the preprocessed collected data to obtain a first processing result.

Step S140, sending a first optimization adjustment instruction to the controller based on the first processing result, so as to optimize the operation process of the compressed air system.

In this embodiment, firstly, relevant working data of each component unit in the compressed air system is obtained as the initial collection data. Then preprocessing including abnormal data is performed on the initial collected data to obtain preprocessed collected data. Next, edge calculation is performed on the preprocessed collected data, and the calculated data is used as the first processing result. Finally, a corresponding optimization adjustment scheme is obtained based on the processing result, and a first optimization adjustment instruction corresponding to the optimization adjustment scheme is sent to a corresponding controller of the compressed air system. Thus, optimization can be performed in real time based on the current operating state of the entire compressed air system.

To sum up, the embodiments of the present application provide a data acquisition device and an operation management method, the device is applied to a compressed air system, and the compressed air system includes at least one air compressor unit. The device includes a collection unit, a preprocessing unit, an edge computing manager, a monitoring and closed-loop control unit. The acquisition unit can obtain the initial acquisition data including analog quantity data, switch quantity data and sensor detection data by communicating with the controller in each of the air compressor units and the sensors arranged in the compressed air system . The preprocessing unit obtains the initial collection data by communicating with the collection unit, and performs preprocessing on the initial collection data to obtain preprocessed collection data, wherein the preprocessing includes eliminating abnormal data. The edge computing manager is communicatively connected to the preprocessing unit, and is configured to perform edge computing on the preprocessed collected data obtained after being preprocessed by the preprocessing unit, to obtain a first processing result. The monitoring and closed-loop control unit communicated with the edge computing manager is used to send a first optimization adjustment instruction to the controller according to the first processing result, so as to optimize the operation process of the compressed air system . In this way, the initial collection data including the relevant information of each component unit in each air compressor unit can be obtained, so as to realize the status monitoring and data collection of the entire compressed air system; and edge calculation and closed-loop control are performed based on the initial collection data, To optimize the operation of the compressed air system.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the present application. For those skilled in the art, there may be various modifications and changes in the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included within the protection scope of this application.

Claims (10)

1. A data acquisition device, characterized in that it is applied to a compressed air system, the compressed air system includes at least one air compressor unit, and the device includes an acquisition unit, a preprocessing unit, an edge computing manager, monitoring and closed-loop control unit, The acquisition unit communicates with the controller in each of the air compressor units and the sensor provided in the compressed air system to obtain initial acquisition data, wherein the initial acquisition data includes analog data, switch Quantitative data and sensor detection data; The preprocessing unit is connected in communication with the collection unit, and is used for preprocessing the initial collection data to obtain preprocessed collection data, wherein the preprocessing includes eliminating abnormal data; The edge computing manager is connected to the preprocessing unit in parallel, and is used to perform edge computing on the preprocessed collected data to obtain a first processing result; The monitoring and closed-loop control unit communicates with the edge computing manager, and is used to send a first optimization adjustment instruction to the controller according to the first processing result, so as to optimize the operation process of the compressed air system . 2. The device according to claim 1, wherein the acquisition unit comprises a plurality of interfaces, and the acquisition unit is electrically connected to the sensor and the controller through the plurality of interfaces to obtain the initial acquisition data, wherein the multiple interfaces include any one of RS232 interface, RS485 interface, CAN bus interface, network port, USB interface and any combination thereof. 3. The device according to claim 1, further comprising a data transmission unit, The edge computing manager is connected in communication with the data transmission unit, and is used to send the preprocessed collected data to the cloud server through the data transmission unit, and receive the cloud server based on the data transmission unit through the data transmission unit. The second processing result sent by the pre-processed collected data; The monitoring and closed-loop control unit is further configured to send a second optimization adjustment instruction to the controller according to the second processing result sent by the edge computing manager, so as to optimize the operation process of the compressed air system . 4. The device according to claim 3, wherein the data transmission unit comprises a communication subunit for communicating with the cloud server, and the communication subunit comprises a GPRS communication subunit, a 4G communication subunit, Ethernet communication subunit. 5. The device according to claim 4, wherein the data transmission unit further comprises a protocol conversion subunit, The protocol conversion subunit is electrically connected with the communication subunit, and is used to convert the protocol of the received data into Modbus protocol or BACnet protocol. 6. The device according to claim 3, further comprising a storage unit and a machine learning unit, The storage unit is used to store the collected data after preprocessing and edge computing; The machine learning unit is connected in communication with the storage unit, the preprocessing unit, and the edge computing manager, and is used to perform machine learning based on the first processing result, so as to perform machine learning based on the preprocessing unit stored in the preprocessing unit. The processing model and the edge computing model in the edge computing manager are updated. 7. The device according to claim 6, further comprising an alarm unit, The alarm unit is communicatively connected with the monitoring and closed-loop control unit, and is used for sending out an alarm signal for reminding staff to perform artificial repair under the control of the monitoring and closed-loop control unit. 8. The device according to claim 7, wherein the device comprises an Internet of Things manager and a data collector connected by communication, the acquisition unit is arranged on the data collector, the preprocessing unit, An edge computing manager, a monitoring and closed-loop control unit, a data transmission unit, a storage unit, a machine learning unit and an alarm unit are arranged on the Internet of Things manager. 9. The device according to claim 8, wherein the data collector and the Internet of Things manager perform data transmission through wired or wireless means. 10. An operation management method, characterized in that it is applied to the data acquisition device described in any one of claims 1-9, said method comprising: The initial collection data is obtained through the controller in each of the air compressor units and the sensors arranged in the compressed air system, wherein the initial collection data includes analog data, switch data and sensor detection data; Preprocessing the initial collected data to obtain preprocessed collected data, wherein the preprocessing includes eliminating abnormal data; performing edge computing on the preprocessed collected data to obtain a first processing result; Sending a first optimization adjustment instruction to the controller based on the first processing result, so as to optimize the operation process of the compressed air system.