CN112073475A - Real-time mold operation monitoring system based on Internet of things and working method thereof - Google Patents
Real-time mold operation monitoring system based on Internet of things and working method thereof Download PDFInfo
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Abstract
A real-time operation monitoring system for a mold based on the Internet of things and a working method thereof comprise the following steps: the system comprises an operation state monitoring module, a wireless communication module, a cloud processor and a remote control center; the running state monitoring module is used for acquiring the running state data of the die in real time; the operation state monitoring module is connected with the wireless communication module and exchanges data with the cloud processor through the wireless communication module; the cloud processor is used for being connected with the real-time operation monitoring systems, overall planning the real-time operation monitoring systems and carrying out data calling and monitoring on the real-time operation monitoring systems; the remote control center is connected with the cloud processor through a wireless communication module; and the remote control center acquires the data uploaded by the operation state monitoring module, judges the operation state according to the analysis result of the data and analyzes the fault.
Description
Technical Field
The invention relates to the field of mold processing, in particular to a mold real-time operation monitoring system based on the Internet of things and a working method thereof.
Background
The internet of things (IOT) is used for collecting any object or process needing monitoring, connection and interaction in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, collecting various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and position of the object or process, realizing ubiquitous connection of the object and the person through various possible network accesses, and realizing intelligent sensing, identification and management of the object and the process. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
The Internet of things is an important component of a new generation of information technology, and means that things are connected and all things are connected. The definition of the internet of things is a network which connects any article with the internet according to an agreed protocol through information sensing equipment such as radio frequency identification, an infrared sensor, a global positioning system, a laser scanner and the like to carry out information exchange and communication so as to realize intelligent identification, positioning, tracking, monitoring and management of the article.
In the production process, the use of the internet of things technology for reducing the personnel cost and the failure rate is the current trend, and the problems of monitoring of equipment and timely discovery and treatment of failures can be well solved.
Disclosure of Invention
The purpose of the invention is as follows:
aiming at the technical problems mentioned in the background technology, the invention provides a real-time operation monitoring system for a mold based on the Internet of things and a working method thereof.
The technical scheme is as follows:
a real-time operation monitoring system of mould based on thing networking includes: the system comprises an operation state monitoring module, a wireless communication module, a cloud processor and a remote control center;
the running state monitoring module is used for acquiring the running state data of the die in real time; the operation state monitoring module is connected with the wireless communication module and exchanges data with the cloud processor through the wireless communication module;
the cloud processor is used for being connected with the real-time operation monitoring systems, overall planning the real-time operation monitoring systems and carrying out data calling and monitoring on the real-time operation monitoring systems;
the remote control center is connected with the cloud processor through a wireless communication module; the remote control center acquires the data uploaded by the operation state monitoring module, judges the operation state according to the analysis result of the data and analyzes the fault;
the running state monitoring module feeds back fault information to the cloud processor through the wireless communication module;
the cloud server is further used for collecting fault information of the running state monitoring module and generating a database.
As a preferred mode of the present invention, the fault information database stored in the cloud server further includes a retrieval module;
the retrieval module is used for retrieving historical fault information from the fault information database according to the existing fault information and acquiring the historical fault information.
As a preferred mode of the present invention, the remote control center further includes a failure prediction module;
and the fault prediction module is used for predicting faults according to analysis of the data uploaded by the running state monitoring module.
As a preferable mode of the present invention, the operation state monitoring module includes: a finished product monitoring transmission module and a mould monitoring module;
the finished product monitoring module is used for monitoring the quality of a finished product of the die, is connected with the wireless communication module and uploads parameters of the finished product through the wireless communication module;
the die monitoring module is used for monitoring the state of the die, the die monitoring module is connected with the wireless communication module, and the die monitoring module uploads the state of the die through the wireless communication module.
As a preferred mode of the present invention, the cloud processor obtains parameters of a finished product and a state of a mold, and determines a system operating state according to the real-time parameters of the finished product and the state of the mold.
A working method of a real-time operation monitoring system for a mold based on the Internet of things comprises the following steps:
the running state monitoring module collects the running state data of the die in real time and outputs the data to the wireless communication module;
the wireless communication module outputs the state data of the running of the die to the cloud processor;
the cloud processor acquires the running state data of the die uploaded by the real-time running monitoring systems, overall stages the real-time running monitoring systems and calls and monitors the data;
the cloud processor generates a database;
the remote control center outputs a data calling signal to the cloud processor through the wireless communication module, and the cloud processor calls and feeds back the running state data of the die;
if the running state monitoring module feeds back fault information to the cloud processor through the wireless communication module;
and the cloud processor stores the fault information into a database and feeds the fault information back to the remote control center through the wireless communication module.
The method comprises the following steps:
the remote control center acquires fault information and inquires relevant information of the fault information in a database of the cloud processor according to the fault information;
and if the relevant information corresponding to the fault information exists in the database, the relevant information corresponding to the fault information is fed back to the remote control center through the wireless communication module.
The method comprises the following steps:
the running state monitoring module collects the running state data of the die in real time and outputs the data to the wireless communication module;
the wireless communication module outputs the state data of the running of the die to the cloud processor;
the remote control center calls the state data of the running of the mould to the cloud processor through the wireless communication module;
the fault prediction module calls the state data of the running of the die and carries out data analysis on the state data;
if the state data of the mold operation has a fault sign, the fault prediction module outputs a fault warning to the remote control center;
and the remote control center feeds back a fault warning to the running state monitoring module through the wireless communication unit and the cloud processor.
The method comprises the following steps:
the finished product monitoring module monitors the quality of a finished product of the die and uploads parameters of the finished product to the wireless communication module;
the mold monitoring module monitors the state of the mold, and uploads the state of the mold to the wireless communication module.
The method comprises the following steps:
the cloud processor calls parameters of a finished product and the state of the mold through the wireless communication module, and judges the running state of the system according to the real-time parameters of the finished product and the state of the mold;
if the system state is abnormal, the cloud processor outputs an abnormal signal to the wireless communication module;
and the wireless communication module outputs an abnormal signal to the remote control center.
The invention realizes the following beneficial effects:
the operation of the die system is monitored through the Internet of things, the cloud processor is connected with the remote control center, and the cloud processor is connected with the running state monitoring modules, so that the remote control center is favorable for controlling a plurality of systems. The regional management is realized, and the workload is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a system schematic diagram of a real-time mold operation monitoring system based on the internet of things, provided by the invention;
FIG. 2 is a system block diagram of a real-time operation monitoring system for a mold based on the Internet of things, provided by the invention;
fig. 3 is a system block diagram of a second real-time mold operation monitoring system based on the internet of things, provided by the invention;
fig. 4 is a system block diagram of a third internet-of-things-based real-time mold operation monitoring system provided by the invention.
Wherein: 11. the system comprises an operation state monitoring module, a wireless communication module, a finished product monitoring module, a mould monitoring module, a cloud processor, a retrieval module, a remote control center, a fault prediction module and a storage module, wherein the operation state monitoring module 12, the wireless communication module 13, the finished product monitoring module, the mould monitoring module, the cloud processor, the retrieval module, the remote control.
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.
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments; in the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure; one skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc.; in other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale; the same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted; the structures shown in the drawings are illustrative only and do not necessarily include all of the elements; for example, some components may be split and some components may be combined to show one device.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The method disclosed by the embodiment corresponds to the system disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the system part for description.
Example one
Reference is made to fig. 1-2 for example.
A real-time operation monitoring system of mould based on thing networking includes: the system comprises an operation state monitoring module 11, a wireless communication module 12, a cloud processor 21 and a remote control center 31.
The running state monitoring module 11 is used for acquiring the running state data of the mold in real time. The operation state monitoring module 11 is connected to the wireless communication module 12, and the operation state monitoring module 11 exchanges data with the cloud processor 21 through the wireless communication module 12.
The cloud processor 21 is used for being connected with a plurality of real-time operation monitoring systems, overall planning the real-time operation monitoring systems and calling and monitoring data of the real-time operation monitoring systems.
The remote control center 31 is connected with the cloud processor 21 through the wireless communication module 12. The remote control center 31 acquires the data uploaded by the operation state monitoring module 11, determines the operation state according to the analysis result of the data, and analyzes the fault.
The running state monitoring module 11 feeds back fault information to the cloud processor 21 through the wireless communication module 12.
The operation state monitoring module 11 can be provided with a plurality of different mould operating systems, and the operation state monitoring module 11 is connected with the cloud processor 21 and the remote control module to form regional control, so that systematic management is facilitated.
The cloud server is further used for collecting fault information of the running state monitoring module 11 and generating a database.
The database is used for storing fault data and storing processing means corresponding to faults. The database not only stores the failures of the systems connected to the remote control center 31, but also stores other failures of the systems not connected, and is uploaded by the manager.
The operation state monitoring module 11 collects the state data of the mold operation in real time and outputs the data to the wireless communication module 12.
The wireless communication module 12 outputs the status data of the mold operation to the cloud processor 21.
The cloud processor 21 acquires the state data of the running of the mold uploaded by the real-time running monitoring systems, and overall stages the real-time running monitoring systems and calls and monitors the data.
The cloud processor 21 generates a database.
The remote control center 31 outputs a data calling signal to the cloud processor 21 through the wireless communication module 12, and the cloud processor 21 calls and feeds back the state data of the running of the mold.
If the running state monitoring module 11 feeds back the fault information to the cloud processor 21 through the wireless communication module 12.
The cloud processor 21 stores the fault information into a database, and simultaneously feeds the fault information back to the remote control center 31 through the wireless communication module 12.
Example two
Reference is made to fig. 1, 3-4 for example.
The present embodiment is substantially the same as the above-mentioned embodiments, except that, as a preferred mode of the present invention, the fault information database stored in the cloud server further includes a retrieval module 22.
The retrieving module 22 is configured to retrieve historical fault information from the fault information database according to existing fault information, and obtain historical fault information.
The retrieval module 22 retrieves historical fault information according to the existing fault information, and extracts a corresponding fault processing means in the database, so that the system can process the fault in time.
The remote control center 31 obtains the fault information, and queries the relevant information of the fault information in the database of the cloud processor 21 according to the fault information.
If the relevant information corresponding to the fault information exists in the database, the relevant information corresponding to the fault information is fed back to the remote control center 31 through the wireless communication module 12.
As a preferred mode of the present invention, the remote control center 31 further includes a failure prediction module 32.
The failure prediction module 32 is configured to predict a failure according to analysis of the data uploaded by the operating state monitoring module 11.
The failure prediction module 32 analyzes the abnormality in the uploaded status data, and if the abnormality reaches the failure standard, it can determine that a failure may exist, and prompt the system to remove the failure in time.
The failure that is analyzed by the failure prediction module 32 is not necessarily a complete failure but may be a partial failure or an anomaly.
The operation state monitoring module 11 collects the state data of the mold operation in real time and outputs the data to the wireless communication module 12.
The wireless communication module 12 outputs the status data of the mold operation to the cloud processor 21.
The remote control center 31 calls the state data of the mold operation to the cloud processor 21 through the wireless communication module 12.
The fault prediction module 32 retrieves and analyzes the status data of the mold operation.
If there is a fault sign in the status data of the mold operation, the fault prediction module 32 outputs a fault warning to the remote control center 31.
The remote control center 31 feeds back a failure warning to the operation status monitoring module 11 through the wireless communication unit and the cloud processor 21.
As a preferred aspect of the present invention, the operation state monitoring module 11 includes: a finished product monitoring module 13 and a mould monitoring module 14.
The finished product monitoring module is used for monitoring the quality of a finished product of the die, the finished product monitoring module is connected with the wireless communication module 12, and the finished product monitoring module uploads the parameters of the finished product through the wireless communication module 12.
The mold monitoring module 14 is configured to monitor a state of the mold, the mold monitoring module 14 is connected to the wireless communication module 12, and the mold monitoring module 14 uploads the state of the mold through the wireless communication module 12.
The finished product monitoring module monitors the quality of the finished product of the mold, and the finished product monitoring module uploads the parameters of the finished product to the wireless communication module 12.
The mold monitoring module 14 monitors the state of the mold, and the mold monitoring module 14 uploads the state of the mold to the wireless communication module 12.
As a preferred mode of the present invention, the cloud processor 21 obtains parameters of a finished product and a state of a mold, and determines a system operating state according to the real-time parameters of the finished product and the state of the mold.
The cloud processor 21 calls the parameters of the finished product and the state of the mold through the wireless communication module 12, and judges the system running state according to the real-time parameters of the finished product and the state of the mold.
If the system status is abnormal, the cloud processor 21 outputs an abnormal signal to the wireless communication module 12.
The wireless communication module 12 outputs an abnormality signal to the remote control center 31.
The finished product monitoring module can be used for monitoring whether the form, color, components and the like of the finished product are consistent with the standard or not, and if not, the abnormity is shown.
The mold monitoring module 14 monitors the shape and integrity of the mold and if it does not conform to the standard, an anomaly is indicated.
If any one of the finished product or the die is abnormal, the operation system of the die needs to be detected and the fault is checked, and after the remote control center 31 receives the heritage signal, the administrator is prompted.
EXAMPLE III
A working method of a real-time operation monitoring system for a mold based on the Internet of things comprises the following steps:
the operation state monitoring module 11 collects the state data of the mold operation in real time and outputs the data to the wireless communication module 12.
The wireless communication module 12 outputs the status data of the mold operation to the cloud processor 21.
The cloud processor 21 acquires the state data of the running of the mold uploaded by the real-time running monitoring systems, and overall stages the real-time running monitoring systems and calls and monitors the data.
The cloud processor 21 generates a database.
The remote control center 31 outputs a data calling signal to the cloud processor 21 through the wireless communication module 12, and the cloud processor 21 calls and feeds back the state data of the running of the mold.
If the running state monitoring module 11 feeds back the fault information to the cloud processor 21 through the wireless communication module 12.
The cloud processor 21 stores the fault information into a database, and simultaneously feeds the fault information back to the remote control center 31 through the wireless communication module 12.
The method comprises the following steps:
the remote control center 31 obtains the fault information, and queries the relevant information of the fault information in the database of the cloud processor 21 according to the fault information.
If the relevant information corresponding to the fault information exists in the database, the relevant information corresponding to the fault information is fed back to the remote control center 31 through the wireless communication module 12.
The method comprises the following steps:
the operation state monitoring module 11 collects the state data of the mold operation in real time and outputs the data to the wireless communication module 12.
The wireless communication module 12 outputs the status data of the mold operation to the cloud processor 21.
The remote control center 31 calls the state data of the mold operation to the cloud processor 21 through the wireless communication module 12.
The fault prediction module 32 retrieves and analyzes the status data of the mold operation.
If there is a fault sign in the status data of the mold operation, the fault prediction module 32 outputs a fault warning to the remote control center 31.
The remote control center 31 feeds back a failure warning to the operation status monitoring module 11 through the wireless communication unit and the cloud processor 21.
The method comprises the following steps:
the finished product monitoring module monitors the quality of the finished product of the mold, and the finished product monitoring module uploads the parameters of the finished product to the wireless communication module 12.
The mold monitoring module 14 monitors the state of the mold, and the mold monitoring module 14 uploads the state of the mold to the wireless communication module 12.
The method comprises the following steps:
the cloud processor 21 calls the parameters of the finished product and the state of the mold through the wireless communication module 12, and judges the system running state according to the real-time parameters of the finished product and the state of the mold.
If the system status is abnormal, the cloud processor 21 outputs an abnormal signal to the wireless communication module 12.
The wireless communication module 12 outputs an abnormality signal to the remote control center 31.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (10)
1. The utility model provides a mould real-time operation monitoring system based on thing networking which characterized in that includes: the system comprises an operation state monitoring module (11), a wireless communication module (12), a cloud processor (21) and a remote control center (31);
the running state monitoring module (11) is used for acquiring the running state data of the die in real time; the running state monitoring module (11) is connected with the wireless communication module (12), and the running state monitoring module (11) exchanges data with the cloud processor (21) through the wireless communication module (12);
the cloud processor (21) is used for being connected with a plurality of real-time operation monitoring systems, overall planning the real-time operation monitoring systems and calling and monitoring data of the real-time operation monitoring systems;
the remote control center (31) is connected with the cloud processor (21) through the wireless communication module (12); the remote control center (31) acquires the data uploaded by the operation state monitoring module (11), judges the operation state according to the analysis result of the data, and analyzes the fault;
the running state monitoring module (11) feeds back fault information to the cloud processor (21) through the wireless communication module (12);
the cloud server is further used for collecting fault information of the running state monitoring module (11) and generating a database.
2. The real-time mold operation monitoring system based on the internet of things of claim 1, wherein the fault information database stored in the cloud server further comprises a retrieval module (22);
the retrieval module (22) is used for retrieving historical fault information in the fault information database according to the existing fault information and acquiring the historical fault information.
3. The real-time mold operation monitoring system based on the internet of things of claim 1, characterized in that the remote control center (31) further comprises a failure prediction module (32);
the fault prediction module (32) is used for predicting faults according to analysis of the data uploaded by the running state monitoring module (11).
4. The real-time running monitoring system for the internet of things based mold according to claim 1, wherein the running state monitoring module (11) comprises: a finished product monitoring transmission module (13) and a mould monitoring module (14);
the finished product monitoring module is used for monitoring the quality of a finished product of the die, is connected with the wireless communication module (12), and uploads parameters of the finished product through the wireless communication module (12);
the mould monitoring module (14) is used for monitoring the state of the mould, the mould monitoring module (14) is connected with the wireless communication module (12), and the mould monitoring module (14) uploads the state of the mould through the wireless communication module (12).
5. The real-time running monitoring system for the mold based on the internet of things as claimed in claim 4, wherein the cloud processor (21) obtains parameters of a finished product and a state of the mold, and judges the running state of the system according to the real-time parameters of the finished product and the state of the mold.
6. The working method of the real-time operation monitoring system for the Internet of things-based mold as claimed in any one of claims 1 to 5, wherein the working method comprises the following steps:
the running state monitoring module (11) collects the running state data of the die in real time and outputs the data to the wireless communication module (12);
the wireless communication module (12) outputs the state data of the running of the mould to a cloud processor (21);
the cloud processor (21) acquires the mould operation state data uploaded by the real-time operation monitoring systems, overall stages the real-time operation monitoring systems and calls and monitors the data;
the cloud processor (21) generating a database;
the remote control center (31) outputs a data calling signal to the cloud processor (21) through the wireless communication module (12), and the cloud processor (21) calls and feeds back the state data of the running of the die;
if the running state monitoring module (11) feeds back fault information to the cloud processor (21) through the wireless communication module (12);
the cloud processor (21) stores the fault information into a database, and meanwhile, the fault information is fed back to the remote control center (31) through the wireless communication module (12).
7. The working method of the real-time operation monitoring system for the mold based on the Internet of things as claimed in claim 6, characterized by comprising the following steps:
the remote control center (31) acquires fault information and inquires relevant information of the fault information in a database of the cloud processor (21) according to the fault information;
if the relevant information corresponding to the fault information exists in the database, the relevant information corresponding to the fault information is fed back to the remote control center (31) through the wireless communication module (12).
8. The working method of the real-time operation monitoring system for the mold based on the Internet of things as claimed in claim 6, characterized by comprising the following steps:
the running state monitoring module (11) collects the running state data of the die in real time and outputs the data to the wireless communication module (12);
the wireless communication module (12) outputs the state data of the running of the mould to a cloud processor (21);
the remote control center (31) calls the state data of the running of the mould from the cloud processor (21) through the wireless communication module (12);
the fault prediction module (32) calls the state data of the running of the die and carries out data analysis on the state data;
if the state data of the mold operation has a fault sign, the fault prediction module (32) outputs a fault warning to the remote control center (31);
the remote control center (31) feeds back a fault warning to the running state monitoring module (11) through the wireless communication unit and the cloud processor (21).
9. The working method of the real-time operation monitoring system for the mold based on the Internet of things as claimed in claim 6, characterized by comprising the following steps:
the finished product monitoring module monitors the quality of a finished product of the die and uploads the parameters of the finished product to the wireless communication module (12);
the mold monitoring module (14) monitors the state of the mold, and the mold monitoring module (14) uploads the state of the mold to the wireless communication module (12).
10. The working method of the real-time operation monitoring system for the mold based on the Internet of things according to claim 9, characterized by comprising the following steps:
the cloud processor (21) calls parameters of a finished product and the state of the mold through the wireless communication module (12), and judges the running state of the system according to the real-time parameters of the finished product and the state of the mold;
if the system state is abnormal, the cloud processor (21) outputs an abnormal signal to the wireless communication module (12);
the wireless communication module (12) outputs an abnormal signal to the remote control center (31).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010849953.0A CN112073475A (en) | 2020-08-21 | 2020-08-21 | Real-time mold operation monitoring system based on Internet of things and working method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010849953.0A CN112073475A (en) | 2020-08-21 | 2020-08-21 | Real-time mold operation monitoring system based on Internet of things and working method thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112787871A (en) * | 2021-03-04 | 2021-05-11 | 沈阳中合智网信息技术有限公司 | Multi-device communication fault remote detection method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104991501A (en) * | 2015-07-12 | 2015-10-21 | 石永丽 | Instrument remote fault diagnosis system based on internet of things and cloud computing |
| CN204759147U (en) * | 2015-07-12 | 2015-11-11 | 石永丽 | Long -range fault diagnostic of instrument based on thing networking is calculated with cloud |
| CN207308622U (en) * | 2017-08-10 | 2018-05-04 | 潘松庭 | A kind of mould processes monitoring system |
| CN110290023A (en) * | 2019-06-26 | 2019-09-27 | 四川金星清洁能源装备股份有限公司 | A kind of over-the-counter apparatus remote maintenance monitor supervision platform system and monitoring method |
| CN110336704A (en) * | 2019-07-15 | 2019-10-15 | 苏州容思恒辉智能科技有限公司 | Equipment fault diagnosis and life prediction system based on Internet of Things wireless sensor technology |
| CN111413937A (en) * | 2020-04-07 | 2020-07-14 | 浙江工业大学 | Remote monitoring and predictive maintenance system for broaching equipment and fault prediction method |
-
2020
- 2020-08-21 CN CN202010849953.0A patent/CN112073475A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104991501A (en) * | 2015-07-12 | 2015-10-21 | 石永丽 | Instrument remote fault diagnosis system based on internet of things and cloud computing |
| CN204759147U (en) * | 2015-07-12 | 2015-11-11 | 石永丽 | Long -range fault diagnostic of instrument based on thing networking is calculated with cloud |
| CN207308622U (en) * | 2017-08-10 | 2018-05-04 | 潘松庭 | A kind of mould processes monitoring system |
| CN110290023A (en) * | 2019-06-26 | 2019-09-27 | 四川金星清洁能源装备股份有限公司 | A kind of over-the-counter apparatus remote maintenance monitor supervision platform system and monitoring method |
| CN110336704A (en) * | 2019-07-15 | 2019-10-15 | 苏州容思恒辉智能科技有限公司 | Equipment fault diagnosis and life prediction system based on Internet of Things wireless sensor technology |
| CN111413937A (en) * | 2020-04-07 | 2020-07-14 | 浙江工业大学 | Remote monitoring and predictive maintenance system for broaching equipment and fault prediction method |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112787871A (en) * | 2021-03-04 | 2021-05-11 | 沈阳中合智网信息技术有限公司 | Multi-device communication fault remote detection method |
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Application publication date: 20201211 |