CN112410864A - Electroplating solution parameter monitoring and control system design based on NB-IoT technology - Google Patents
Electroplating solution parameter monitoring and control system design based on NB-IoT technology Download PDFInfo
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- CN112410864A CN112410864A CN202011311541.8A CN202011311541A CN112410864A CN 112410864 A CN112410864 A CN 112410864A CN 202011311541 A CN202011311541 A CN 202011311541A CN 112410864 A CN112410864 A CN 112410864A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 27
- 238000005516 engineering process Methods 0.000 title claims abstract description 17
- 238000013461 design Methods 0.000 title claims abstract description 9
- 238000009713 electroplating Methods 0.000 title claims description 24
- 238000007747 plating Methods 0.000 claims abstract description 13
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 12
- 238000000926 separation method Methods 0.000 claims abstract description 10
- 230000000694 effects Effects 0.000 claims abstract description 8
- 238000004519 manufacturing process Methods 0.000 claims abstract description 7
- 238000005259 measurement Methods 0.000 claims abstract description 5
- 238000005457 optimization Methods 0.000 claims abstract description 3
- 238000007781 pre-processing Methods 0.000 claims abstract description 3
- 238000000034 method Methods 0.000 claims description 15
- 238000012806 monitoring device Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 238000009529 body temperature measurement Methods 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 8
- 230000007613 environmental effect Effects 0.000 abstract description 3
- 230000008859 change Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 3
- 238000003066 decision tree Methods 0.000 description 3
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- 238000004458 analytical method Methods 0.000 description 2
- 239000002131 composite material Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
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- 230000008054 signal transmission Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
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- BRPQOXSCLDDYGP-UHFFFAOYSA-N calcium oxide Chemical compound [O-2].[Ca+2] BRPQOXSCLDDYGP-UHFFFAOYSA-N 0.000 description 1
- ODINCKMPIJJUCX-UHFFFAOYSA-N calcium oxide Inorganic materials [Ca]=O ODINCKMPIJJUCX-UHFFFAOYSA-N 0.000 description 1
- 239000000292 calcium oxide Substances 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000012631 diagnostic technique Methods 0.000 description 1
- 239000012153 distilled water Substances 0.000 description 1
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- C—CHEMISTRY; METALLURGY
- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25D—PROCESSES FOR THE ELECTROLYTIC OR ELECTROPHORETIC PRODUCTION OF COATINGS; ELECTROFORMING; APPARATUS THEREFOR
- C25D21/00—Processes for servicing or operating cells for electrolytic coating
- C25D21/12—Process control or regulation
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/40—Support for services or applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
Abstract
The invention relates to the technical field of monitoring and processing environmental parameters of the Internet of things, in particular to a plating solution parameter monitoring and control system design based on NB-IoT technology, wherein an STM32 processor is used as a control unit of the system, a temperature sensor and a pH meter are used for collecting plating solution parameter information, a data preprocessing optimization algorithm is provided for processing original environmental data due to complex and changeable monitoring environment, the collected and processed data is sent to a controller to realize intelligent control, an NB-IoT gateway uploads the processed data to a cloud server and displays the processed data to a user through an upper computer, a Hidden Markov Model (HMM) is selected by the system to monitor the temperature and the pH value, nonlinearity and hysteresis effect adjustment are eliminated, an actual measurement value is compared with an overrun threshold value in the module, and an overrun signal is sent to the controller after comparison, the controller changes the production environment parameters using an integral separation PID control algorithm.
Description
Technical Field
The invention relates to the technical field of monitoring and processing of environmental parameters of the Internet of things, in particular to a design of a plating solution parameter monitoring and control system based on an NB-IoT technology.
Background
The temperature and pH value of the plating bath in the electroplating process are important parameters to be controlled in the electroplating process. If the parameters such as temperature, pH value and the like fluctuate greatly, the performance of the plating layer can be directly influenced, and the temperature and the pH value are required to be detected in real time no matter the plating solution is carried out at normal temperature, in a heating state or in a cooling state, so as to ensure that the plating solution works in a process specified range, thereby ensuring the normal operation of the plating process. Currently, the existing plating temperature detection technology utilizes a thermocouple and a temperature controller and a current signal transmission line. The thermocouple is through collecting plating solution temperature variation data and converting it into the current signal, then reaches the temperature controller of automatically controlled cabinet through current signal transmission line, and detection device adopts the current signal to transmit the temperature. The traditional pH value measurement is to collect white crystalline solid peeled from the surface of the composite glass electrode, repeatedly wash the solid with distilled water, then place the solid in an oven for drying, prepare a sample by a tabletting method and perform infrared spectrum analysis. The method for detecting the temperature of the electroplating solution is easy to be distorted by electromagnetic interference, and the surface of the composite glass electrode is possibly affected by calcium oxide scaling coverage during pH detection, so that the pH value cannot be accurately measured.
Disclosure of Invention
The invention aims to provide a technology for overcoming the control of important parameters of the temperature and the pH value of the plating bath liquid in the electroplating processing process; the system utilizes a temperature sensor and a pH meter to monitor the temperature and the pH value of the electroplating solution, the system selects a Hidden Markov Model (HMM) to eliminate the nonlinearity of the temperature and the pH value of the system and adjust the hysteresis effect, an actual measurement value is compared with an overrun threshold value in an STM32 processing module, an overrun signal is sent to a controller after comparison, and the controller utilizes an integral separation PID control algorithm to change the production environment parameters.
The invention adopts the following technical scheme:
a system design for monitoring and controlling parameters of electroplating solution based on NB-IoT technology is characterized in that: the system takes an STM32 processor as a control unit, electroplating solution parameter information is acquired by using a temperature sensor and a pH meter, a data preprocessing optimization algorithm is provided to process original environment data due to complex and changeable monitoring environment, the acquired and processed data is sent to a controller to realize intelligent control, and an NB-IoT gateway uploads the processed data to a cloud server and displays the processed data to a user through an upper computer;
further, the electroplating bath parameter monitoring and control system based on NB-IoT technology is characterized in that: the system comprises an edge node monitoring device, an edge node control device, an NB-IoT gateway device, an upper computer monitoring device and APP software, wherein the NB-IoT gateway device is designed based on an NB-IoT gateway and receives data collected by a terminal NB-IoT node detection device, and the upper computer monitoring device and the APP software are terminal display system parameter changes;
further, the edge node monitoring device is characterized in that: the edge node monitoring apparatus includes: the system comprises a temperature detection sensor, a pH meter, an STM32 microprocessor and a BC95 professional communication module, wherein the temperature detection sensor adopts a WZP-PT100 temperature sensor, the range of the sensor is-50-200 ℃, the instantaneous temperature response is as low as 50ms, the temperature measurement and control error is small, the precision is high, the temperature measurement and control error is suitable for the field environment, and the pH meter acquires system parameters by using a pH acquisition amplifying circuit of the pH meter;
further, the edge node control apparatus is characterized in that: a Hidden Markov Model (HMM) is selected to monitor the temperature and pH value, eliminate nonlinearity and adjust hysteresis effects, an actual measurement value is compared with an overrun threshold value in the module, an overrun signal is sent to a controller after comparison, and the controller changes production environment parameters by using an integral separation PID control algorithm.
Preferably, in order to realize efficient monitoring of data, the technology for processing the temperature and the pH value of the electroplating solution provided by the invention needs to optimize the original data, and a Hidden Markov Model (HMM) is selected to monitor the temperature and the pH value, so that the nonlinearity and the adjustment hysteresis effect are eliminated;
preferably, the electroplating solution temperature and pH value control technology provided by the invention selects an integral separation PID control algorithm to change production environment parameters, can eliminate static errors in the control process, and optimizes and improves the precision.
Compared with the prior art, the invention has the beneficial effects that:
the plating solution temperature is monitored by selecting a Hidden Markov Model (HMM) due to its nonlinearity and adjustment hysteresis effects, and the HMM has strong ability to model dynamic processes and classify sequence patterns as an intelligent detection diagnostic technique. Therefore, the HMM has a good application effect on the detection of the temperature of the electroplating solution, a pH meter is used for detecting the pH value of the electroplating solution, original data processing is realized through an HMM method, the system provides monitoring data which are analyzed in different time periods by means of hidden Markov models according to the analysis of an isolated forest method, the continuous data acquired by a safety monitoring system in a certain time period are assumed to be n-order hidden Markov models, and n state data can be obtained through the HMM in a discrete mode. Fitting by using a random decision forest method according to the obtained data to generate a decision tree, wherein the information entropy can be defined as the standard for judging the purity of the sample as follows:
in which n is the number of characteristic values, xiFor the ith class, X, in the total training set of dataiIs the proportion of the ith class in the total training set. The lower the purity, the higher the safety of the random variable, and the more superior the decision attribute S of the system safety monitoring information. As follows:
wherein Q is the total amount of system monitoring data, QLQ is the data volume with security attribute S and the subdata set.
In the decision tree generation, the randomly selected feature data preferentially selects data with high decision-making property, so that the purity of a system sample is reduced and the safety performance is improved. And according to different extraction of the classified sub data sets, avoiding the overfitting condition of the monomer decision tree. The collected data of the current subdata set is compared with a safety threshold, if the data exceeds the safety threshold, the data is determined to be qualified subdata set and participates in prediction effect judgment, and if not, evasion is performed. Meanwhile, when the system is interfered by other factors or is started or closed, the system output is subjected to step change in a very short time, and the integral accumulation is caused by large output deviation caused by the step change. Because the action range of the actuating mechanism is limited, the control quantity exceeds the range, so that the control result is not accurate, and the system selects an integral separation PID control algorithm to change production environment parameters.
Drawings
FIG. 1 is a general block diagram of system monitoring and control
FIG. 2 is a system edge control node module layout
FIG. 3 is a system temperature acquisition circuit
FIG. 4 is a system pH value acquisition amplifying circuit
FIG. 5 is a schematic diagram of an integral separation PID control algorithm
Detailed Description
The invention is further illustrated by the following specific examples.
The general design of the electroplating solution parameter monitoring and controlling system based on the NB-IoT technology is shown in FIG. 1, and the system mainly comprises a controller module, an STM32 processor module, an NB-IoT gateway, a terminal display and the like. Wherein, the temperature controller and the pH controller form a terminal node which is driven by the MCU to be used for monitoring and controlling parameters of the electroplating solution; because the parameter data acquisition of the electroplating solution is in a complex environment, an NB-IoT modulation integrated microcontroller SX1278 is adopted as a modulation and demodulation module in order to solve the wiring problem; and the NB-IoT gateway forms a wireless sensor network to realize the communication of the terminal node in the wireless sensor network. And the NB-IoT gateway sends the processed data to a terminal server for storage and processing through wireless communication and displays the data by utilizing terminal display, so that the parameters of the electroplating solution are monitored.
The design of the edge control node module of the electroplating solution parameter monitoring and control system based on NB-IoT technology is shown in FIG. 2, and the edge node control device mainly comprises: the device comprises an environment temperature control module, an environment pH value control module, an integral separation PID control module, a motor control module and the like.
The temperature acquisition circuit of the electroplating solution parameter monitoring and control system based on the NB-IoT technology is shown in FIG. 3, wherein an WZP-PT100 temperature sensor is adopted in the system, the range of the sensor is-50-200 ℃, the instantaneous temperature response is as low as 50ms, the temperature measurement and control error is small, the precision is high, and the system is suitable for the field environment.
The electroplating solution parameter monitoring and control system pH value acquisition amplifying circuit based on the NB-IoT technology is shown in FIG. 4, and the system pH value is accurately acquired by adopting a signal amplifying circuit.
The principle of the electroplating solution parameter monitoring and control system integral separation PID control algorithm based on the NB-IoT technology is shown in FIG. 5, the static error in the control process can be eliminated, the accuracy is optimized and improved, the measured value is compared with the overrun threshold value in the module, the overrun signal is sent to the controller after comparison, and the controller changes the production environment parameters by utilizing the integral separation PID control algorithm.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (4)
1. A system design for monitoring and controlling parameters of electroplating solution based on NB-IoT technology is characterized in that: the system takes an STM32 processor as a control unit, utilizes a temperature sensor and a pH meter to collect parameter information of electroplating solution, provides a data preprocessing optimization algorithm to process original environment data due to complex and changeable monitoring environment, sends the collected and processed data to a controller to realize intelligent control, and uploads the processed data to a cloud server through an NB-IoT gateway and displays the processed data to a user through an upper computer.
2. The NB-IoT technology-based plating bath parameter monitoring and control system according to claim 1, wherein: the edge node monitoring device comprises an edge node monitoring device, an edge node control device, an NB-IoT gateway device, an upper computer monitoring device and APP software, wherein the NB-IoT gateway device receives data collected by the terminal NB-IoT node monitoring device based on NB-IoT gateway design, and the upper computer monitoring device and the APP software display system parameter changes.
3. The edge node monitoring device according to claim 1, wherein: the edge node monitoring apparatus includes: the temperature detection sensor is a WZP-PT100 temperature sensor, the range of the sensor is-50-200 ℃, the instantaneous temperature response is as low as 50ms, the temperature measurement and control error is small, the precision is high, the temperature measurement and control error is suitable for the field environment, and the pH meter acquires system parameters by using a pH acquisition amplifying circuit.
4. An edge node control apparatus according to claim 1, wherein: a Hidden Markov Model (HMM) is selected to monitor the temperature and pH value, eliminate nonlinearity and adjust hysteresis effects, an actual measurement value is compared with an overrun threshold value in the module, an overrun signal is sent to a controller after comparison, and the controller changes production environment parameters by using an integral separation PID control algorithm.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113252851A (en) * | 2021-05-19 | 2021-08-13 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Atmospheric pollution monitoring system based on NB-IoT and edge calculation |
| CN117574296A (en) * | 2023-11-23 | 2024-02-20 | 清远市信和实业有限公司 | Plating bath liquid flow distribution detection system and method thereof |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104237458A (en) * | 2014-05-27 | 2014-12-24 | 李岩 | Base station type air quality monitoring method and base station type air quality monitoring system |
| CN106053539A (en) * | 2016-06-17 | 2016-10-26 | 天津市龙网科技发展有限公司 | PH water quality analyzer system and control method thereof |
| CN205920378U (en) * | 2016-08-17 | 2017-02-01 | 张士骏 | Diamond wire saw production line plating solution real -time monitoring system |
| CN106645330A (en) * | 2016-11-29 | 2017-05-10 | 福州微启迪物联科技有限公司 | Portable NB-IoT water quality detecting device and parameter correcting method thereof |
| US20190223766A1 (en) * | 2018-01-23 | 2019-07-25 | Dexcom, Inc. | Systems, devices, and methods to compensate for temperature effects on sensors |
| CN110174179A (en) * | 2019-05-10 | 2019-08-27 | 江南大学 | A kind of water quality monitoring system based on NB-IoT |
| CN110708680A (en) * | 2019-10-23 | 2020-01-17 | 西安工业大学 | Distributed water source monitoring system |
| CN210894317U (en) * | 2019-07-10 | 2020-06-30 | 苏州工业职业技术学院 | Aquaculture environment monitoring system |
| CN113252851A (en) * | 2021-05-19 | 2021-08-13 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Atmospheric pollution monitoring system based on NB-IoT and edge calculation |
-
2020
- 2020-11-20 CN CN202011311541.8A patent/CN112410864A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104237458A (en) * | 2014-05-27 | 2014-12-24 | 李岩 | Base station type air quality monitoring method and base station type air quality monitoring system |
| CN106053539A (en) * | 2016-06-17 | 2016-10-26 | 天津市龙网科技发展有限公司 | PH water quality analyzer system and control method thereof |
| CN205920378U (en) * | 2016-08-17 | 2017-02-01 | 张士骏 | Diamond wire saw production line plating solution real -time monitoring system |
| CN106645330A (en) * | 2016-11-29 | 2017-05-10 | 福州微启迪物联科技有限公司 | Portable NB-IoT water quality detecting device and parameter correcting method thereof |
| US20190223766A1 (en) * | 2018-01-23 | 2019-07-25 | Dexcom, Inc. | Systems, devices, and methods to compensate for temperature effects on sensors |
| CN110174179A (en) * | 2019-05-10 | 2019-08-27 | 江南大学 | A kind of water quality monitoring system based on NB-IoT |
| CN210894317U (en) * | 2019-07-10 | 2020-06-30 | 苏州工业职业技术学院 | Aquaculture environment monitoring system |
| CN110708680A (en) * | 2019-10-23 | 2020-01-17 | 西安工业大学 | Distributed water source monitoring system |
| CN113252851A (en) * | 2021-05-19 | 2021-08-13 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Atmospheric pollution monitoring system based on NB-IoT and edge calculation |
Non-Patent Citations (4)
| Title |
|---|
| 王用鑫;彭华;: "基于GD32 F107的电镀参数智能监控系统", 电镀与环保, no. 01, pages 60 - 62 * |
| 王鸿儒;朱宗玖;高泽仁;: "基于ZigBee的智能环境污染信息采集系统", 物联网技术, no. 10, pages 25 - 26 * |
| 田宇;周洋洋;赵昶宇;: "加固式公共计算服务器健康管理系统设计", 电子设计工程, no. 16, pages 69 - 73 * |
| 胡森荣;朱宗玖;: "基于LoRa与HMM的煤矿安全监测系统设计", 煤矿机械, no. 07, pages 1 - 3 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113252851A (en) * | 2021-05-19 | 2021-08-13 | 安徽理工大学环境友好材料与职业健康研究院(芜湖) | Atmospheric pollution monitoring system based on NB-IoT and edge calculation |
| CN117574296A (en) * | 2023-11-23 | 2024-02-20 | 清远市信和实业有限公司 | Plating bath liquid flow distribution detection system and method thereof |
| CN117574296B (en) * | 2023-11-23 | 2024-04-23 | 清远市信和实业有限公司 | Plating bath liquid flow distribution detection system and method thereof |
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