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生物質(zhì)顆粒機(jī)組遠(yuǎn)程監(jiān)控系統(tǒng)設(shè)計與試驗(yàn)
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安徽省科技重大專項(xiàng)(202003a06020013)和安徽省重點(diǎn)研發(fā)與開發(fā)計劃項(xiàng)目(202004a06020058)


Design and Experiment of Remote Monitoring System for Biomass Briquetting Machine
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    摘要:

    為提高生物質(zhì)顆粒生產(chǎn)自動化水平,,實(shí)時監(jiān)控制粒機(jī)組生產(chǎn)過程中作業(yè)參數(shù),解決當(dāng)前存在的粉料喂入量不精確導(dǎo)致的壓縮室壅堵問題,,設(shè)計了一套生物質(zhì)制粒遠(yuǎn)程監(jiān)控系統(tǒng),,依托運(yùn)行于遠(yuǎn)程上位機(jī)內(nèi)的模糊PID控制算法,PLC通過OPC與之通信實(shí)現(xiàn)對粉料喂入量的控制; 以5G網(wǎng)絡(luò)作為遠(yuǎn)程數(shù)據(jù)傳輸途徑,,選擇5G工業(yè)路由器作為網(wǎng)絡(luò)數(shù)據(jù)收發(fā)器,,通過網(wǎng)頁、手機(jī)APP或微信小程序?qū)崿F(xiàn)客戶端的遠(yuǎn)程監(jiān)控功能,。本系統(tǒng)設(shè)置了用戶監(jiān)控層,、數(shù)據(jù)網(wǎng)絡(luò)傳輸層和測控現(xiàn)場層; 基于系統(tǒng)遠(yuǎn)程監(jiān)控要求,工業(yè)路由器與PLC之間通過PROFINET協(xié)議實(shí)現(xiàn)數(shù)據(jù)傳遞; 并使用MQTT協(xié)議,,實(shí)現(xiàn)其與云服務(wù)器之間數(shù)據(jù)傳輸,。根據(jù)對系統(tǒng)穩(wěn)定性、喂料量準(zhǔn)確性及其通信性能的試驗(yàn),,穩(wěn)定時電流實(shí)際值與目標(biāo)值平均相對誤差在1%~12%范圍內(nèi)波動,,變異系數(shù)在0.19%~0.28%范圍內(nèi)波動,滿足生物質(zhì)顆粒生產(chǎn)需求,,有效提高了生物質(zhì)顆粒生產(chǎn)智能化水平,。

    Abstract:

    In order to improve the automation level of biomass briquetting machine production, monitor the key parameters in the production process of the briquetting machine in real time, and solve the problem of blockage in the compression chamber caused by inaccurate powder feeding rate, a set of remote monitoring system for biomass briquetting machine was designed, which realized the control of powder feeding rate through OPC communication with PLC relying on the fuzzy PID control algorithm running in the remote host computer. The 5G network was used as the remote data transmission channel, the 5G industrial router was selected as the network data transceiver, and the remote monitoring function of the client was realized through the Web page, mobile phone APP or WeChat applet. This system set up user monitoring layer, data network transmission layer and measurement and control field layer. Based on the requirements of system remote monitoring, data transmission between industrial router and PLC was realized through PROFINET protocol. The MQTT protocol was used to realize data transmission between it and the ECS. According to the tests on system stability, feeding accuracy and communication performance, when the current was stable, the average error between the actual value and the target value of the current fluctuated at the range of 1%~12%, and the variance fluctuated at 0.19%~0.28%, meeting the production needs of biomass particles and improving the intelligent level of biomass particle production.

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王韋韋,湯君杰,周國安,何家勛,謝東波,鄭泉.生物質(zhì)顆粒機(jī)組遠(yuǎn)程監(jiān)控系統(tǒng)設(shè)計與試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報,2022,53(12):402-410. WANG Weiwei, TANG Junjie, ZHOU Guoan, HE Jiaxun, XIE Dongbo, ZHENG Quan. Design and Experiment of Remote Monitoring System for Biomass Briquetting Machine[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(12):402-410.

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  • 收稿日期:2022-10-23
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  • 在線發(fā)布日期: 2022-11-24
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