WO2022036513A1 - 一种智慧工厂的监控方法 - Google Patents

一种智慧工厂的监控方法 Download PDF

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WO2022036513A1
WO2022036513A1 PCT/CN2020/109573 CN2020109573W WO2022036513A1 WO 2022036513 A1 WO2022036513 A1 WO 2022036513A1 CN 2020109573 W CN2020109573 W CN 2020109573W WO 2022036513 A1 WO2022036513 A1 WO 2022036513A1
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monitoring
unit
monitoring unit
control host
parameters
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PCT/CN2020/109573
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French (fr)
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吴晋
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江苏天人工业互联网研究院有限公司
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Priority to PCT/CN2020/109573 priority Critical patent/WO2022036513A1/zh
Publication of WO2022036513A1 publication Critical patent/WO2022036513A1/zh

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • the invention relates to the technical field of factory monitoring, in particular to a monitoring method for a smart factory.
  • a production plant also known as a manufacturing plant, is a production and processing enterprise used for production. Generally, manpower and auxiliary production machines and equipment are used to complete the production of products. Large-scale manufacturing plants have a more refined division of labor, and often a process requires assembly line operations to complete.
  • the purpose of the present invention is to provide a monitoring method for a smart factory to solve the problems raised in the above background art.
  • a monitoring method for a smart factory comprising the following steps:
  • S1 set up equipment monitoring unit, inventory monitoring unit, environmental monitoring unit, power monitoring unit and video monitoring unit;
  • step S2 establish the connection between each monitoring unit and the control host in step S1;
  • control host sets the location information to each monitoring unit connected in step S2 through the positioning unit;
  • each monitoring unit operates, obtains the corresponding monitoring parameters, and transmits the monitoring parameters to the control host;
  • the control host receives the monitoring parameters and performs identification processing
  • the control host sends the monitoring parameters in question to the terminal, and uploads all the monitoring parameters to the cloud server for storage.
  • the equipment monitoring unit is interconnected with the equipment unit, and records the continuous operation time, total operation time and maintenance information of the equipment unit.
  • the inventory monitoring unit is connected with an inventory pick-and-place module, and the inventory pick-and-place module records the type and total amount of goods stored in the warehouse, as well as each withdrawal and deposit amount.
  • the environmental monitoring unit is provided with a sensor group, the sensor group is composed of a temperature sensor, a humidity sensor, a smoke sensor, a photosensitive sensor and a poison gas sensor, and each sensor is evenly distributed in the monitoring area.
  • the power monitoring unit includes a voltage detection module and a current detection module, the voltage detection module and the current detection module detect the voltage and current in each power supply circuit, and upload the data to the control host.
  • the video monitoring unit is provided with digital cameras, the digital cameras are evenly distributed in the monitoring area, and no less than 10% of the monitoring areas of adjacent digital cameras overlap each other.
  • the positioning unit divides the detection area into a 3m*3m square space, and each square space is set with a corresponding number and bound with the corresponding detection unit in the space.
  • control host is provided with a response unit, and the response unit includes an acousto-optic alarm, an air extraction fan, and a relay.
  • response unit includes an acousto-optic alarm, an air extraction fan, and a relay.
  • the terminal is any one of a smart phone, a tablet computer, and a computer
  • the connection between the terminal and the control host includes but is not limited to wired connection, wireless connection, Bluetooth connection and ZigBee connection.
  • the beneficial effects of the present invention are: the monitoring method provided by the present invention, by setting different monitoring units, monitors different parameters in the factory to achieve the purpose of monitoring the factory, comprehensive real-time monitoring, can first Problems are discovered in a short time, reducing the accident rate of the factory and avoiding casualties.
  • Fig. 1 is the flow chart of the steps of the present invention
  • Fig. 2 is the system structure diagram of the present invention
  • the present invention provides a technical solution: a monitoring method for a smart factory, comprising the following steps:
  • S1 set up equipment monitoring unit 2, inventory monitoring unit 3, environment monitoring unit 4, power monitoring unit 5 and video monitoring unit 6;
  • control host 1 sets the position information to each monitoring unit connected in step S2 through the positioning unit 7;
  • each monitoring unit operates, obtains the corresponding monitoring parameters, and transmits the monitoring parameters to the control host 1;
  • control host 1 receives the monitoring parameters and performs identification processing
  • the control host 1 sends the monitoring parameters in question to the terminal, and uploads all the monitoring parameters uniformly to the cloud server 8 for storage.
  • the equipment monitoring unit 2 is connected with the equipment unit 21 to record the continuous operation time, total operation time and maintenance information of the equipment unit 21 .
  • the inventory monitoring unit 3 is connected with an inventory pick-and-place module 31 , and the inventory pick-and-place module 31 records the types and total quantities of goods stored in the warehouse, as well as each withdrawal and deposit amount.
  • the environmental monitoring unit 4 is provided with a sensor group 41, the sensor group 41 is composed of a temperature sensor, a humidity sensor, a smoke sensor, a photosensitive sensor and a poison gas sensor, and each sensor is evenly distributed in the monitoring area.
  • the power monitoring unit 5 includes a voltage detection module 51 and a current detection module 52.
  • the voltage detection module 51 and the current detection module 52 detect the voltage and current in each power supply circuit, and upload the data to the control host 1. middle.
  • the video monitoring unit 6 is provided with digital cameras 61 , which are evenly distributed in the monitoring area, and no less than 10% of the monitoring areas of adjacent digital cameras 61 overlap each other.
  • the positioning unit 7 divides the detection area into a square space of 3m*3m, and each square space is set with a corresponding number, and is bound to the corresponding detection unit in the space.
  • control host 1 is provided with a response unit 9, and the response unit 9 includes a sound and light alarm, an air extraction fan, and a relay.
  • the terminal is any one of a smart phone, a tablet computer and a computer
  • the connection between the terminal and the control host 1 includes but is not limited to wired connection, wireless connection, Bluetooth connection and ZigBee connection.
  • FIGS. 1 to 2 any one embodiment of the present invention will be described below in conjunction with FIGS. 1 to 2 to further illustrate:
  • each monitoring unit is set in step S1, and in step S2, it is connected to the control host 1, the location of each monitoring unit is determined by the positioning unit 7 in step S3, and the monitoring unit operates to obtain monitoring parameters in step S4, And upload it to the control host 1, step S5 identifies the monitoring parameters, and step S6 the control host 1 sends the problematic monitoring parameters to the terminal, and uploads all the monitoring parameters to the cloud server 8 and saves them for subsequent viewing.
  • the control host 1 is connected with the equipment monitoring unit 2, the inventory monitoring unit 3, the environment monitoring unit 4, the power monitoring unit 5, and the video monitoring unit 6, and the control host 1 is also connected with a positioning unit 7 and a cloud server 8. , a response unit 9 and a terminal; wherein the equipment monitoring unit 2 is connected with the equipment unit 21, the inventory monitoring unit 3 is connected with a stock pick-and-place module 31, the environmental monitoring unit 4 is provided with a sensor group 41, and the power monitoring unit 5 includes a voltage detection module 51 Along with the current detection module 52 , the video surveillance unit 6 is provided with a digital camera 61 .
  • the equipment monitoring unit 2 records the continuous operation time, total operation time and maintenance information of the equipment unit 21, so as to facilitate the control host 1 to judge the operation state of the equipment.
  • the inventory pick-and-place module 31 records the type and total amount of goods stored in the warehouse, as well as the amount taken out and deposited each time, and the control host 1 can receive the information from the inventory monitoring unit 3 to obtain the storage situation of the goods in the warehouse, so as to facilitate post-production production Plan to avoid stockpiling or shortage of goods.
  • the sensor group 41 is composed of a temperature sensor, a humidity sensor, a smoke sensor, a photosensitive sensor and a poison gas sensor, and each sensor is evenly distributed in the monitoring area.
  • the sensor group 41 composed of multiple groups of sensors is evenly distributed to monitor the parameters in the environment to avoid In the event of fire, gas leakage, etc., to avoid losses to the factory and cause casualties to staff.
  • the voltage detection module 51 and the current detection module 52 detect the voltage and current in each power supply circuit, and upload the data to the control host 1.
  • the control host 1 can monitor the power supply of the factory in real time. When an abnormality occurs, the response unit 9 The relay in the power supply is cut off, and the abnormal situation is dealt with in time.
  • the digital cameras 61 are evenly distributed in the monitoring area, and no less than 10% of the monitoring area of the adjacent digital cameras 61 overlap with each other. The overlapping digital cameras 61 effectively avoid the blind spot in the factory, and on the one hand, ensure comprehensive and complete monitoring. On the other hand, when the follow-up problem is traced, the problem can be found in time.
  • the positioning unit 7 divides the detection area into a plurality of continuous square spaces, and each square space is set with a unique number, and is bound with the detection unit in the space; through this setting, the control host 1 is receiving abnormal information. After that, the location can be determined in time, which is convenient for the staff to determine the location for processing.
  • the response unit 9 includes an acousto-optic alarm, an exhaust fan, and a relay.
  • the acousto-optic alarm is used to remind unrelated personnel to evacuate in time.
  • the exhaust fan can delay the diffusion of gas to a certain extent when toxic gas leakage occurs, and the relay is timely when a power failure occurs. Power outages to avoid further expansion of the situation.
  • the control host 1 After the control host 1 is connected to the terminal, it will notify the administrator remotely and deal with the abnormal situation in time.

Abstract

本发明涉及工厂监控技术领域,具体公开了一种智慧工厂的监控方法,包括如下步骤:S1、设置设备监控单元、库存监控单元、环境监控单元、电力监控单元以及视频监控单元;S2、建立步骤S1中各监控单元与控制主机的连接;S3、控制主机对步骤S2中所连接的各监控单元通过定位单元设置位置信息;S4、各监控单元运行,获取对应的监控参数,并将监控参数传输到控制主机中;S5、控制主机接收监控参数,进行识别处理;S6、控制主机将有问题的监控参数发送到终端,并将所有监控参数统一上传云端服务器中保存;本发明所提供的监控方法,通过设置不同的监控单元,对工厂中的不同参数进行监控以达到监控工厂的目的,全面实时监控,能够第一时间发现问题。

Description

一种智慧工厂的监控方法 技术领域
本发明涉及工厂监控技术领域,具体为一种智慧工厂的监控方法。
背景技术
生产工厂,又称制造厂,是一所用以生产的生产加工企业。一般都采用人力并且辅助生产机器、设备来完成产品的生产制造。大型的制造厂分工较细化,往往一道工序需要流水线作业才能完成。
随着科学技术的发展,工厂中越来越多的设备需要使用,同时伴随而来的还有工厂的安保问题;通过人工监控工厂不仅仅增加不必要的人员工作量,而且工作效率低,无法及时反馈工厂运作情况,相应的应对措施采取较慢,难以及时掌控局势,容易使问题进一步的扩大,严重的可能会造成人员伤亡。
发明内容
本发明的目的在于提供一种智慧工厂的监控方法,以解决上述背景技术中提出的问题。
为实现上述目的,本发明提供如下技术方案:一种智慧工厂的监控方法,包括如下步骤:
S1、设置设备监控单元、库存监控单元、环境监控单元、电力监控单元以及视频监控单元;
S2、建立步骤S1中各监控单元与控制主机的连接;
S3、控制主机对步骤S2中所连接的各监控单元通过定位单元设置位置信息;
S4、各监控单元运行,获取对应的监控参数,并将监控参数传输到控制主机中;
S5、控制主机接收监控参数,进行识别处理;
S6、控制主机将有问题的监控参数发送到终端,并将所有监控参数统一 上传云端服务器中保存。
优选的,所述设备监控单元与设备机组相互连接,对设备机组的持续运行时长、总运行时长、维护信息进行记录。
优选的,所述库存监控单元连接有库存取放模块,所述库存取放模块对仓库中存储货物的种类、总量以及每次取出量、存入量进行记录。
优选的,所述环境监控单元设置有传感器组,所述传感器组由温度传感器、湿度传感器、烟雾传感器、光敏传感器以及毒气传感器组成,且各传感器在监控区域内均匀分布。
优选的,所述电力监控单元包括电压检测模块与电流检测模块,所述电压检测模块与电流检测模块检测每条供电电路中的电压和电流,并将数据上传到控制主机中。
优选的,所述视频监控单元设置有数字摄像头,数字摄像头在监控区域内均匀分布,且相邻的数字摄像头有不少于10%的监控面积相互重合。
优选的,所述定位单元将检测区域分割成3m*3m的方格空间,每个方格空间设置相应的编号,并与该空间中所对应的检测单元进行绑定。
优选的,所述控制主机设置有响应单元,所述响应单元包括声光报警器、抽气风机、继电器。
优选的,所述终端为智能手机、平板电脑、计算机中的任意一种,所述终端与控制主机的连接方式包括但不限于有线连接、无线连接、蓝牙连接和ZigBee连接。
与现有技术相比,本发明的有益效果是:本发明所提供的监控方法,通过设置不同的监控单元,对工厂中的不同参数进行监控以达到监控工厂的目的,全面实时监控,能够第一时间发现问题,降低工厂的事故率,避免人员的伤亡。
附图说明;
图1为本发明步骤流程图;
图2为本发明的系统结构图;
图中标号:1、控制主机;2、设备监控单元;21、设备机组;3、库存监控单元;31、库存取放模块;4、环境监控单元;41、传感器组;5、电力监控单元;51、电压检测模块;52、电流检测模块;6、视频监控单元;61、数字摄像头;7、定位单元;8、云端服务器;9、响应单元。
具体实施方式
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
请参阅图1-2,本发明提供一种技术方案:一种智慧工厂的监控方法,包括如下步骤:
S1、设置设备监控单元2、库存监控单元3、环境监控单元4、电力监控单元5以及视频监控单元6;
S2、建立步骤S1中各监控单元与控制主机1的连接;
S3、控制主机1对步骤S2中所连接的各监控单元通过定位单元7设置位置信息;
S4、各监控单元运行,获取对应的监控参数,并将监控参数传输到控制主机1中;
S5、控制主机1接收监控参数,进行识别处理;
S6、控制主机1将有问题的监控参数发送到终端,并将所有监控参数统一上传云端服务器8中保存。
进一步的,所述设备监控单元2与设备机组21相互连接,对设备机组21的持续运行时长、总运行时长、维护信息进行记录。
进一步的,所述库存监控单元3连接有库存取放模块31,所述库存取放模块31对仓库中存储货物的种类、总量以及每次取出量、存入量进行记录。
进一步的,所述环境监控单元4设置有传感器组41,所述传感器组41由温度传感器、湿度传感器、烟雾传感器、光敏传感器以及毒气传感器组成,且各传感器在监控区域内均匀分布。
进一步的,所述电力监控单元5包括电压检测模块51与电流检测模块52,所述电压检测模块51与电流检测模块52检测每条供电电路中的电压和电流,并将数据上传到控制主机1中。
进一步的,所述视频监控单元6设置有数字摄像头61,数字摄像头61在监控区域内均匀分布,且相邻的数字摄像头61有不少于10%的监控面积相互重合。
进一步的,所述定位单元7将检测区域分割成3m*3m的方格空间,每个方格空间设置相应的编号,并与该空间中所对应的检测单元进行绑定。
进一步的,所述控制主机1设置有响应单元9,所述响应单元9包括声光报警器、抽气风机、继电器。
进一步的,所述终端为智能手机、平板电脑、计算机中的任意一种,所述终端与控制主机1的连接方式包括但不限于有线连接、无线连接、蓝牙连接和ZigBee连接。
下面结合图1~2描述本发明的任意一个实施例,以进一步说明:
请参阅图1,步骤S1中设置各监控单元,并在步骤S2中与控制主机1连击,步骤S3中通过定位单元7对各监控单元进行位置确定,步骤S4中监控单元运行获取监控参数,并上传到控制主机1中,步骤S5对监控参数进行识别处理,步骤S6控制主机1将有问题的监控参数发送到终端,并将所有监控参数统一上传云端服务器8中保存,以便后续查看。
请参阅图2,控制主机1与设备监控单元2、库存监控单元3、环境监控 单元4、电力监控单元5、以及视频监控单元6相连接,控制主机1还连接有定位单元7、云端服务器8、响应单元9以及终端;其中设备监控单元2与设备机组21相互连接,库存监控单元3连接有库存取放模块31,环境监控单元4设置有传感器组41,电力监控单元5包括电压检测模块51与电流检测模块52,视频监控单元6设置有数字摄像头61。
设备监控单元2对设备机组21的持续运行时长、总运行时长、维护信息进行记录,以方便控制主机1判断设备的运行状态。库存取放模块31对仓库中存储货物的种类、总量以及每次取出量、存入量进行记录,控制主机1接收库存监控单元3的信息能够获得仓库中货物的存储情况,以便后期制作生产计划,避免货物堆积或货物短缺的情况发生。传感器组41由温度传感器、湿度传感器、烟雾传感器、光敏传感器以及毒气传感器组成,且各传感器在监控区域内均匀分布,多组传感器组成的传感器组41均匀分布,对环境中的参数进行监控,避免发生火灾、气体泄漏等情况,避免给工厂造成损失以及造成工作人员伤亡。电压检测模块51与电流检测模块52检测每条供电电路中的电压和电流,并将数据上传到控制主机1中,控制主机1能够实时监控工厂的供电情况,当发生异常时,通过响应单元9中的继电器进行断电,及时处理异常状况。数字摄像头61在监控区域内均匀分布,且相邻的数字摄像头61有不少于10%的监控面积相互重合,相互重合的数字摄像头61有效避免了工厂中的盲区情况,一方面保证了全面全方位的监控,另一方面后续追查问题时,能够及时找到问题所在。
定位单元7将检测区域分割成多个连续的方格空间,每个方格空间设置唯一的编号,并且与该空间中的检测单元进行绑定;通过这种设置,控制主机1在接受异常信息后,能够及时确定位置,便于工作人员确定位置去处理。响应单元9包括声光报警器、抽气风机、继电器,声光报警器用于提醒无关人员及时撤离,抽气风机在发生毒气泄漏时能够一定程度上延缓气体的扩散, 继电器当发生电力故障时及时断电,避免情况的进一步的扩张。控制主机1与终端连接后远程通知管理者,及时处理异常情况。
尽管已经示出和描述了本发明的实施例,对于本领域的普通技术人员而言,可以理解在不脱离本发明的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型,本发明的范围由所附权利要求及其等同物限定。

Claims (9)

  1. 一种智慧工厂的监控方法,其特征在于:包括如下步骤:
    S1、设置设备监控单元(2)、库存监控单元(3)、环境监控单元(4)、电力监控单元(5)以及视频监控单元(6);
    S2、建立步骤S1中各监控单元与控制主机(1)的连接;
    S3、控制主机(1)对步骤S2中所连接的各监控单元通过定位单元(7)设置位置信息;
    S4、各监控单元运行,获取对应的监控参数,并将监控参数传输到控制主机(1)中;
    S5、控制主机(1)接收监控参数,进行识别处理;
    S6、控制主机(1)将有问题的监控参数发送到终端,并将所有监控参数统一上传云端服务器(8)中保存。
  2. 根据权利要求1所述的一种智慧工厂的监控方法,其特征在于:所述设备监控单元(2)与设备机组(21)相互连接,对设备机组(21)的持续运行时长、总运行时长、维护信息进行记录。
  3. 根据权利要求1所述的一种智慧工厂的监控方法,其特征在于:所述库存监控单元(3)连接有库存取放模块(31),所述库存取放模块(31)对仓库中存储货物的种类、总量以及每次取出量、存入量进行记录。
  4. 根据权利要求1所述的一种智慧工厂的监控方法,其特征在于:所述环境监控单元(4)设置有传感器组(41),所述传感器组(41)由温度传感器、湿度传感器、烟雾传感器、光敏传感器以及毒气传感器组成,且各传感器在监控区域内均匀分布。
  5. 根据权利要求1所述的一种智慧工厂的监控方法,其特征在于:所述电力监控单元(5)包括电压检测模块(51)与电流检测模块(52),所述电压检测模块(51)与电流检测模块(52)检测每条供电电路中的电压和电流,并将数据上传到控制主机(1)中。
  6. 根据权利要求1所述的一种智慧工厂的监控方法,其特征在于:所述视频监控单元(6)设置有数字摄像头(61),数字摄像头(61)在监控区域内均匀分布,且相邻的数字摄像头(61)有不少于10%的监控面积相互重合。
  7. 根据权利要求1所述的一种智慧工厂的监控方法,其特征在于:所述定位单元(7)将检测区域分割成3m*3m的方格空间,每个方格空间设置相应的编号,并与该空间中所对应的检测单元进行绑定。
  8. 根据权利要求1所述的一种智慧工厂的监控方法,其特征在于:所述控制主机(1)设置有响应单元(9),所述响应单元(9)包括声光报警器、抽气风机、继电器。
  9. 根据权利要求1所述的一种智慧工厂的监控方法,其特征在于:所述终端为智能手机、平板电脑、计算机中的任意一种,所述终端与控制主机(1)的连接方式包括但不限于有线连接、无线连接、蓝牙连接和ZigBee连接。
PCT/CN2020/109573 2020-08-17 2020-08-17 一种智慧工厂的监控方法 WO2022036513A1 (zh)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006195554A (ja) * 2005-01-11 2006-07-27 Mitsubishi Electric Corp 統合監視システム
CN202150165U (zh) * 2011-06-01 2012-02-22 浙江商业职业技术学院 一种化工企业实时监控系统
CN208922110U (zh) * 2018-11-14 2019-05-31 中国电子工程设计院有限公司 智能工厂的远程运维设备架构
CN110032152A (zh) * 2019-03-27 2019-07-19 陈文武 一种基于物联网的智能车间管理系统及使用方法
WO2020141676A1 (ko) * 2018-12-31 2020-07-09 주식회사 네오세미텍 스마트 팩토리 모니터링 시스템

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006195554A (ja) * 2005-01-11 2006-07-27 Mitsubishi Electric Corp 統合監視システム
CN202150165U (zh) * 2011-06-01 2012-02-22 浙江商业职业技术学院 一种化工企业实时监控系统
CN208922110U (zh) * 2018-11-14 2019-05-31 中国电子工程设计院有限公司 智能工厂的远程运维设备架构
WO2020141676A1 (ko) * 2018-12-31 2020-07-09 주식회사 네오세미텍 스마트 팩토리 모니터링 시스템
CN110032152A (zh) * 2019-03-27 2019-07-19 陈文武 一种基于物联网的智能车间管理系统及使用方法

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