CN115167319A - Air compressor start and stop control system and control method based on Internet of things cloud platform - Google Patents
Air compressor start and stop control system and control method based on Internet of things cloud platform Download PDFInfo
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Abstract
The invention discloses an air compressor start-stop control system and method based on an Internet of things cloud platform, which comprises a terminal module, wherein the terminal module acquires the state and data of each device in real time through a sensor; the terminal equipment proxy communication module is used for receiving the state and data acquired by the terminal module, sending data information to the next-stage processing module and sending the next-stage output command to the terminal module; the edge server reads the data and the state of the equipment in the terminal equipment proxy communication module, integrates and marks the data as input data, stores, analyzes and processes the data, and sends a processed output command to the terminal equipment proxy communication module; the Internet of things cloud platform is connected with the edge server and is used for controlling the edge server; the air compressor control system realizes the control, state display and alarm of the air compressor and the function of the Internet of things, greatly improves the safety and energy conservation of the air compressor in the use process, and has good human-computer interaction performance.
Description
Technical Field
The invention relates to the technical field of air compressor start-stop control, in particular to an air compressor start-stop control system and method based on an internet of things cloud platform.
Background
The air compressor is used for compressing the volume of gas, so that the gas pressure is increased, the mechanical energy of the motor is converted into gas pressure energy, and gas energy power is provided for other devices. Today, the modern industry is developed, shadows of the air compressor are seen everywhere, and the air compressor has extremely wide application in the industries such as automatic control, electronics, mining, agriculture, vehicles, food, aviation and the like.
According to the working principle, the air compressor can be divided into a positive displacement type and a speed type. Positive displacement air compressors can compress gas at a time, converting mechanical energy into pneumatic energy. The velocity type air compressor first accelerates the gas, then rapidly decelerates the gas to reduce the volume thereof, and converts mechanical energy into kinetic energy and then into pressure energy. In the air compressors with large market occupation at present, the screw type air compressors have the characteristics of low operation cost, low maintenance rate, high efficiency, high stability and the like, so that the screw type air compressors have large share in the market of the air compressors.
Most users still operate manually at present, and the problems of low reaction speed, frequent loading and unloading of equipment, much waste, high energy consumption and high maintenance rate of the equipment exist. Other existing integrated control schemes only support start-stop and rotation of the plant.
Disclosure of Invention
The invention aims to provide an air compressor start-stop control system and a control method based on an Internet of things cloud platform, which are used for realizing control, state display and alarm of an air compressor and Internet of things functions, greatly improving the safety and energy conservation of the air compressor in the using process and having good human-computer interaction performance.
The purpose of the invention can be realized by the following technical scheme:
the air compressor start-stop control system based on the Internet of things cloud platform comprises a terminal module, wherein the terminal module comprises air compressor equipment, a heat energy recovery system, a constant temperature system and compressed gas processing equipment of an exhaust system, and the state and data of each equipment are collected in real time through a sensor;
the terminal equipment proxy communication module is used for receiving the state and data acquired by the terminal module, sending data information to the next-stage processing module and sending the next-stage output command to the terminal module;
the edge server reads the data and the state of the equipment in the terminal equipment proxy communication module, integrates and marks the data as input data, stores, analyzes and processes the data, and sends a processed output command to the terminal equipment proxy communication module;
and the Internet of things cloud platform is connected with the edge server and is used for controlling the edge server.
As a further scheme of the invention: the real-time data of the sensor acquisition terminal module comprise motor temperature, exhaust temperature, air supply pressure, exhaust pressure, motor phase current and fan phase current.
As a further scheme of the invention: and the edge server performs data filtering processing on the acquired data by adopting an anti-pulse interference average filtering method.
As a further scheme of the invention: the terminal equipment agent communication module supports switching value and analog value signals and industrial control protocols of Modbus, profibus and cantonena.
As a further scheme of the invention: the edge server integrates a local management and control platform and an API thereof, accesses a user local network, remotely logs in to check real-time data and historical data, manages user authority, and modifies system control parameters.
As a further scheme of the invention: and the edge server is connected with the terminal equipment proxy communication module in an RS485 bus or Lora wireless communication mode.
As a further scheme of the invention: and the edge server is connected with the video stream of the monitoring camera, monitors the action in the station house by using a face recognition algorithm and a dynamic monitoring algorithm, and stores and records the action.
As a further scheme of the invention: the cloud platform of the Internet of things is connected with a user intelligent terminal and is connected with the user intelligent terminal through an Ethernet, a Wi-Fi and a GSM/GPRS communication module.
As a further scheme of the invention: the edge server is provided with a data privacy defense module for protecting data information.
As a further scheme of the invention: the control method of the air compressor start-stop control system based on the cloud platform of the Internet of things comprises the following steps:
step one, compressed gas processing equipment in a terminal module works normally, and the state and data of the compressed gas processing equipment in the terminal module are collected through a sensor;
secondly, the terminal equipment agent communication module sends the state and data collected by the sensor to the edge service business;
the edge server receives the acquired data information, stores, analyzes and processes the data information to obtain a processing result, obtains an output command according to the processing result, sends the output command to the terminal module through the terminal equipment proxy communication module, and the terminal module executes corresponding operation according to the output command;
and step four, the edge server uploads the corresponding data information to the Internet of things cloud platform, the edge server is checked and issued with control instructions and system control parameters are modified through the user intelligent terminal, and remote control over starting and stopping of the air compressor is achieved.
The invention has the beneficial effects that:
(1) The air compressor control system realizes control, state display and alarm of the air compressor and realizes the function of the Internet of things, so that the safety and the energy conservation of the air compressor in the use process are greatly improved, and the air compressor has good human-computer interaction performance.
(2) The acquired data is filtered by using the pulse interference prevention average filtering method, so that the accuracy of data acquisition is improved, and the accurate control of the air compressor is realized.
(3) According to the field and the environment used by the authorized user, one communication module or three communication modules can be used at the same time when the communication module is communicated with the Internet of things cloud platform, and no matter the user increases or decreases the number of the communication modules to access the cloud end, the performance and the stability of the whole system cannot be affected, and selectivity is provided for the practical application of the user.
(4) In order to accurately push extreme change data to a user in real time and quickly respond when the user checks real-time equipment state data, the edge server and the Internet of things cloud platform are in communication design in an active data reporting mode and a passive data reporting mode, and the Internet of things cloud platform and the user intelligent terminal are in automatic data reading and data inquiring and reading modes.
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The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to an air compressor start-stop control system based on an internet of things cloud platform, which comprises a terminal module, wherein the terminal module comprises air compressor equipment, a heat energy recovery system, a constant temperature system and compressed gas processing equipment of an exhaust system, and a sensor is used for acquiring the state and data of each equipment in real time; the terminal equipment proxy communication module is used for receiving the state and data acquired by the terminal module, sending data information to the next-stage processing module and sending the next-stage output command to the terminal module; the edge server reads the data and the state of the equipment in the terminal equipment proxy communication module, integrates and marks the data as input data, stores, analyzes and processes the data, and sends a processed output command to the terminal equipment proxy communication module; and the Internet of things cloud platform is connected with the edge server and is used for controlling the edge server.
The real-time data of the sensor acquisition terminal module comprises motor temperature, exhaust temperature, air supply pressure, exhaust pressure, motor phase current and fan phase current.
The terminal equipment agent communication module supports switching value and analog value signals and industrial control protocols of Modbus, profibus and Canopen. The terminal equipment collects the states and data of the sensor and the equipment in real time and communicates with the edge server in an RS485 bus or Lora wireless communication mode.
The edge server integrates a local management and control platform and an API thereof, accesses a user local network, remotely logs in to check real-time data and historical data, manages user authority, and modifies system control parameters. The edge server is connected with the terminal equipment proxy communication module through an RS485 bus or a Lora wireless communication mode, reads data and states of sensors and equipment in each terminal equipment proxy communication module, and integrates and marks the data as input data. Inputting input data into the real-time dynamic loading model, and issuing output results to each terminal device by each terminal device proxy communication module; the input data is input into a real-time dynamic prediction model to predict possible problems of sensors and equipment integrated in the system. The edge server stores the process data and the prediction result in real time, and can trace, count and analyze historical data; the edge server supports real-time analysis of monitoring video stream, and supports face recognition and dynamic monitoring; the edge server integrates a local management and control platform and an API thereof, can access a user local network, remotely logs in to check real-time data and historical data, manages users and authorities, modifies system control parameters and the like, and can also be integrated into the user existing management system through the API; the edge server is realized and compatible with various industrial control protocols, and can access the existing SCADA control system of a user; and the edge server performs cleaning analysis on the process data in real time and synchronizes the result to the cloud platform. When the edge server is in a weak network state, the synchronous data can be cached, and the network can continue to upload after being normal. The edge server supports the networked cloud platform for remote access, and can remotely update software and maintain a system.
And the edge server performs data filtering processing on the acquired data by adopting an anti-pulse interference average filtering method.
The data required to be acquired by the system comprises motor temperature, exhaust temperature, air supply pressure, exhaust pressure, motor phase current, fan phase current and the like, and because the acquisition flows of the data are basically consistent, only the acquisition flow of the motor temperature is introduced below.
In the system, a sensor output signal is converted into a 0-3.3V voltage signal after being amplified and conditioned by a preceding stage, and then data acquisition is carried out by a 12-bit ADC (analog to digital converter) arranged in a single chip microcomputer, because the air compressor is complex in field environment, errors can occur in acquired data and the acquisition precision is influenced, the acquired data is filtered by using a pulse interference prevention average filtering method, the algorithm implementation method is that every time N data are acquired, a maximum value and a minimum value in the data are removed, and the rest N-2 data are subjected to averaging processing, and the specific implementation form is as follows:
wherein Y is the average value of the data;
X MAX is the maximum value of the data;
X MIN is the minimum value of the data;
and N is the number of data acquisition.
The system sets the ADC clock frequency to be 12M, the sampling time is 239.5 cycles, the channel conversion time is 21us, and data acquisition needs to be continuously carried out, in order to reduce the burden of a CPU, the system adopts a method of timer interrupt triggering and DMA (direct memory access), carries out data acquisition, sets the sampling frequency to be 5Khz, and can meet the requirement of a chip on the conversion time, wherein the sampling interval is 200 us.
T = sample time +12.5 cycles
Where T is the time for chip switching.
When sampling starts, the system restores the default settings of the timer, the ADC and the DMA, then performs self-calibration on the ADC, if the calibration is not performed, the sampling data is inaccurate, channel data is read after conversion is completed, filtering is performed on the data by using a median average filtering method every 100 data points, and finally, the data is analyzed and stored, so that the data accuracy can be improved.
And the edge server is connected with the video stream of the monitoring camera, monitors the action in the station house by using a face recognition algorithm and a dynamic monitoring algorithm, and stores and records the action.
The cloud platform of the Internet of things is connected with the user intelligent terminal through the Ethernet, the Wi-Fi and the GSM/GPRS communication module, a worker checks real-time data, stored in the cloud platform of the Internet of things, of each sensor and equipment in the system through the APP of the user intelligent terminal, sends a control command, modifies system control parameters, generates a data report, can set a custom rule, and sends an alarm in the modes of short messages, weChat, nails and the like.
According to the field and the environment used by the authorized user, one communication module or three communication modules can be possibly used when the user communicates with the Internet of things cloud platform, and no matter whether the user increases or decreases the communication modules to access the cloud end, all performances and stability of the whole system cannot be affected.
The user intelligent terminal adopts a Wi-Fi communication module, a GSM/GPRS communication module and an Ethernet communication module, and the three communication modes provide selectivity for the practical application of a user.
The system uses a plurality of sensors to transmit data acquired in real time to an edge server based on an industrial Modbus, profibus or Canopen control protocol and by adopting a field bus protocol through an RS-485 bus mode or a Lora wireless communication mode. And the edge server transmits the data to the Internet of things cloud platform or the user intelligent terminal through each communication mode. The method comprises the steps that a sensor continuously reports real-time data serving as daily observation data to be uploaded to a cloud server for storage, early-stage data acquisition work is done for future data analysis and cloud computing, in addition, in order to accurately push extreme change data to a user in real time and enable the user to quickly respond when the user checks real-time equipment state data, communication between an edge server and an internet of things cloud platform is designed into two modes of actively reporting data and passively reporting data, and the internet of things cloud platform and a user intelligent terminal are divided into two modes of automatically reading data and inquiring and reading data.
In a passive reporting mode of the edge server, the system can continuously receive data on the sensor and continuously upload the data to the Internet of things cloud platform under the condition of normal work.
The edge server is provided with a data privacy defense module for protecting data information.
For example, the defense system structure adopted in the implementation process of the model is mainly divided into three layers, namely layer by layer, progressive encryption type layer by layer. After the first-layer identity authentication, file encryption is carried out, the identity of a user is ensured to be correct through checking the application reason, the identity card number and the related certificate photo of the user, false identity is not used, illegal criminal acts are not carried out, and after the identity is confirmed, the user is determined to have certain use permission; the second layer is used for encrypting the data of the user, the data is a key concern object in the whole system processing process except the determination of the identity, and the data is encrypted to improve the capability of the data for defending against virus infection and harm and improve the probability of successful system processing. The third layer is established under the condition that the second layer fails to encrypt the file data, the privacy protection is threatened, the file is quickly recovered, and a quick recovery algorithm is used, so that the user data can be recovered to the greatest extent even when being invaded by viruses. In order to improve the computational security, the manager of the system processing needs to implement a periodic test, for example, supervision on the identity card checking strength, whether the worker checks according to the regulation or not, and through the periodic test, the system processing security awareness is improved.
The control method of the air compressor start-stop control system based on the Internet of things cloud platform comprises the following steps:
step one, compressed gas processing equipment in a terminal module works normally, and the state and data of the compressed gas processing equipment in the terminal module are collected through a sensor;
secondly, the terminal equipment agent communication module sends the state and data collected by the sensor to the edge service business;
step three, the edge server receives the acquired data information, stores, analyzes and processes the data information to obtain a processing result, obtains an output command according to the processing result, sends the output command to the terminal module through the terminal equipment proxy communication module, and executes corresponding operation according to the output command;
and step four, the edge server uploads the corresponding data information to the Internet of things cloud platform, the edge server is checked and issued with control instructions and system control parameters are modified through the user intelligent terminal, and remote control over starting and stopping of the air compressor is achieved.
Taking temperature control as an example, the control system realizes one-key start and stop by taking the main equipment and the post-processing equipment of the gas compression system as a whole. After the system is started, whether the current started machine meets the gas utilization requirement is judged through the pressure measured by the pressure sensor installed in the main pipe. When the pressure of the main pipe is less than the minimum pressure set by the system, if the integrated machine has a variable-frequency available air compressor, the air compressor is started preferentially. If a plurality of available variable frequency air compressors exist in the integrated system, starting is selected according to the balanced abrasion or the user-defined priority. And when the variable-frequency air compressor is fully loaded and the pressure of the main pipeline still does not reach the loading pressure set by the system, continuously starting other system-integrated power-frequency air compressors. When a plurality of power frequency air compressors exist in the integrated system, the integrated system is started according to the balanced abrasion or the user-defined priority. And when the pressure of the main pipe is greater than the unloading pressure set by the system, the power frequency air compressor with the longest loading time is unloaded preferentially, and the air compressor is shut down after the unloading of the power frequency air compressor exceeds the set time. The constant temperature system and the air exhaust system are used for protecting electronic components of the system, and when the indoor temperature exceeds a threshold value, the air exhaust system is started preferentially; if the indoor temperature continuously rises, the exhaust system is closed, and the constant temperature system is started. When the indoor temperature is reduced to a threshold value, the constant temperature system is closed, and the exhaust system is opened; and when the indoor temperature continuously drops, the exhaust system is continuously closed.
The system mainly comprises a terminal equipment proxy communication module, an edge server and an Internet of things cloud platform, wherein the terminal equipment proxy communication module is responsible for acquiring data of each module of the air compressor, such as motor temperature, exhaust pressure, motor current and the like; the edge server is also an execution unit for controlling the action of the air compressor, the system uses two data management display modules, namely a user intelligent terminal and an Internet of things cloud platform, the data management display modules are used for realizing man-machine interaction, displaying data of each part of the air compressor acquired by a terminal device agent communication module in real time, realizing the functions of storing historical data, drawing a historical curve, setting control parameters and the like, and a user can check and control the air compressor on site through the user intelligent terminal or log in the Internet of things cloud platform for remote operation through a computer and a mobile phone.
The air compressor control system has the advantages that real-time data intercommunication is carried out between the user intelligent terminal and an operator, when the air compressor breaks down, an alarm is timely sent to the operator, the air compressor is emergently stopped when serious faults occur, most of components inside the air compressor have very low fault tolerance, the air compressor control system monitors states of key components, if the air compressor control system breaks down, the system can immediately take measures to prevent damage, and loss expansion is avoided.
Although one embodiment of the present invention has been described in detail, the description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (10)
1. The air compressor start-stop control system based on the Internet of things cloud platform is characterized by comprising a terminal module, wherein the terminal module comprises air compressor equipment, a heat energy recovery system, a constant temperature system and compressed gas processing equipment of an exhaust system, and a sensor is used for acquiring the state and data of each equipment in real time;
the terminal equipment proxy communication module is used for receiving the state and data acquired by the terminal module, sending data information to the next-stage processing module and sending the next-stage output command to the terminal module;
the edge server reads the data and the state of the equipment in the terminal equipment proxy communication module, integrates and marks the data as input data, stores, analyzes and processes the data, and sends a processed output command to the terminal equipment proxy communication module;
and the Internet of things cloud platform is connected with the edge server and is used for controlling the edge server.
2. The air compressor start-stop control system based on the internet of things cloud platform as claimed in claim 1, wherein the real-time data of the sensor acquisition terminal module comprises motor temperature, exhaust temperature, air supply pressure, exhaust pressure, motor phase current and fan phase current.
3. The air compressor start-stop control system based on the Internet of things cloud platform as claimed in claim 1, wherein the edge server performs data filtering processing on the acquired data by adopting an anti-pulse interference average filtering method.
4. The air compressor start-stop control system based on the Internet of things cloud platform as claimed in claim 1, wherein the terminal device agent communication module supports switching value and analog value signals, and supports industrial control protocols of Modbus, profibus and Canopen.
5. The air compressor start-stop control system based on the internet of things cloud platform as claimed in claim 1, wherein the edge server integrates a local management and control platform and an API thereof, accesses a user local network, remotely logs in to check real-time data and historical data, manages user permissions, and modifies system control parameters.
6. The air compressor start-stop control system based on the cloud platform of the internet of things as claimed in claim 1, wherein the edge server is connected with the terminal device agent communication module through an RS485 bus or a Lora wireless communication mode.
7. The air compressor start-stop control system based on the Internet of things cloud platform as claimed in claim 1, wherein the edge server is connected to a monitoring camera video stream, monitors actions in a station house by using a face recognition algorithm and a dynamic monitoring algorithm, and stores and records the actions.
8. The air compressor start-stop control system based on the Internet of things cloud platform as claimed in claim 1, wherein the Internet of things cloud platform is connected with a user intelligent terminal, and the Internet of things cloud platform is connected with the user intelligent terminal through Ethernet, wi-Fi and GSM/GPRS communication modules.
9. The air compressor start-stop control system based on the Internet of things cloud platform as claimed in claim 1, wherein the edge server is provided with a data privacy defense module for protecting data information.
10. The control method of the air compressor start-stop control system based on the Internet of things cloud platform is characterized by comprising the following steps:
step one, compressed gas processing equipment in a terminal module works normally, and the state and data of the compressed gas processing equipment in the terminal module are collected through a sensor;
secondly, the terminal equipment agent communication module sends the state and data collected by the sensor to the edge service business;
step three, the edge server receives the acquired data information, stores, analyzes and processes the data information to obtain a processing result, obtains an output command according to the processing result, sends the output command to the terminal module through the terminal equipment proxy communication module, and executes corresponding operation according to the output command;
and step four, the edge server uploads the corresponding data information to the Internet of things cloud platform, the edge server is checked and issued with control instructions and system control parameters are modified through the user intelligent terminal, and remote control over starting and stopping of the air compressor is achieved.
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| CN115665590A (en) * | 2022-10-21 | 2023-01-31 | 北京中电飞华通信有限公司 | Internet of things data acquisition system and method based on eSIM card and 5G communication |
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| CN107765658A (en) * | 2017-09-08 | 2018-03-06 | 深圳市智物联网络有限公司 | A kind of compressor control method based on Internet of Things, apparatus and system |
| CN113612819A (en) * | 2021-07-13 | 2021-11-05 | 武汉万德智新科技股份有限公司 | Edge computing system |
| CN113741282A (en) * | 2021-09-06 | 2021-12-03 | 山东恒远智能科技有限公司 | Intelligent management system and method for equipment based on edge computing |
| CN114035520A (en) * | 2021-10-27 | 2022-02-11 | 山西潞安集团余吾煤业有限责任公司 | Intelligent supervision system and method for air compression station |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115665590A (en) * | 2022-10-21 | 2023-01-31 | 北京中电飞华通信有限公司 | Internet of things data acquisition system and method based on eSIM card and 5G communication |
| CN115665590B (en) * | 2022-10-21 | 2023-06-20 | 北京中电飞华通信有限公司 | Internet of things data acquisition system and method based on eSIM card and 5G communication |
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