CN115718450A - Equipment wire-stopping monitoring method and device, electronic equipment and system - Google Patents

Equipment wire-stopping monitoring method and device, electronic equipment and system Download PDF

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Publication number
CN115718450A
CN115718450A CN202211473435.9A CN202211473435A CN115718450A CN 115718450 A CN115718450 A CN 115718450A CN 202211473435 A CN202211473435 A CN 202211473435A CN 115718450 A CN115718450 A CN 115718450A
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China
Prior art keywords
abnormal
equipment
production equipment
abnormal information
information
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CN202211473435.9A
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Chinese (zh)
Inventor
廖兵
杨永
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Goertek Techology Co Ltd
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Goertek Techology Co Ltd
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Priority to CN202211473435.9A priority Critical patent/CN115718450A/en
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Abstract

The invention discloses a method and a device for monitoring equipment outage, electronic equipment and a computer-accessible storage medium, and is applied to the technical field of automatic production. Aiming at the problem that the line stop information cannot be automatically collected and early warned in the prior art, the invention provides that the state of production equipment is monitored; acquiring abnormal information when the equipment is abnormal; pushing out abnormal information based on a preset line stop early warning rule; the abnormal information collection and the automatic early warning pushing during the line shutdown of the equipment are realized, and the capacity loss is reduced.

Description

Equipment wire-stopping monitoring method and device, electronic equipment and system
Technical Field
The present invention relates to the field of automated manufacturing technologies, and in particular, to a method and an apparatus for monitoring a device shutdown, an electronic device, and a computer-readable storage medium.
Background
With the popularization of automated production, monitoring of automated equipment is becoming more and more important. At present, after production equipment stops the production line, the production line needs to be manually stopped and collected, the efficiency is low, statistical errors are easily caused, the line stopping real-time early warning cannot be achieved, and the capacity loss is easily caused.
In view of this, how to provide an accurate and efficient device outage monitoring method, apparatus, electronic device and computer readable storage medium is a problem to be solved by those skilled in the art.
Disclosure of Invention
The embodiment of the invention aims to provide a method and a device for monitoring the line stop of equipment, electronic equipment and a computer readable storage medium, which can realize the collection and automatic early warning and pushing of abnormal information when the equipment is stopped in the using process and reduce the capacity loss.
In order to solve the above technical problem, an embodiment of the present invention provides an apparatus outage monitoring method, including:
monitoring the state of the production equipment;
acquiring abnormal information when the production equipment is abnormal;
and pushing the abnormal information based on a preset wire stopping early warning rule.
Optionally, the pushing the abnormal information based on the preset wire stopping early warning rule includes:
when the line stop duration reaches a first preset duration, the abnormal information is pushed to the station-type responsible person corresponding to the generating equipment;
judging whether the state of the production equipment is recovered to be normal or not, if not, judging whether the line stop time length reaches a second preset time length or not, and if so, pushing the abnormal information to the station-type responsible person and the administrator; the first preset time length is less than the second preset time length.
Optionally, the method further includes:
matching a target processing strategy corresponding to the abnormal information from a processing strategy database based on the abnormal information; the processing strategy database is established in advance based on each historical fault data and the corresponding historical processing strategy;
and pushing the target processing strategy.
Optionally, the method further includes:
receiving maintenance record information;
and generating a maintenance log based on the maintenance record information.
Optionally, the method further includes:
determining a faulty component based on the anomaly information;
and determining the service life of the fault component based on the installation time and the fault time of the fault component.
Optionally, the method further includes:
determining the replacement time of a replacement part corresponding to the fault part based on the service life after the fault part is repaired;
storing the replacement component in correspondence with the pre-replacement time.
Optionally, the method further includes:
and determining corresponding spare part information aiming at the corresponding pre-replacement time of each part in the production equipment.
Optionally, after the obtaining of the abnormal information, the method further includes:
storing the abnormal data;
and performing multi-dimensional analysis on all abnormal data of the production equipment in a preset time period.
The embodiment of the present invention further provides an apparatus wire-stop monitoring device, including:
the monitoring module is used for monitoring the state of the production equipment;
the acquisition module is used for acquiring abnormal information when the production equipment is abnormal;
and the early warning module is used for pushing the abnormal information out based on a preset wire stopping early warning rule.
An embodiment of the present invention further provides an electronic device, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the equipment wire-stopping monitoring method when the computer program is executed.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the device outage monitoring method are implemented.
The embodiment of the invention provides a method and a device for monitoring equipment outage, electronic equipment and a computer-available storage medium, wherein the method comprises the following steps: monitoring the state of the production equipment; acquiring abnormal information when the equipment is abnormal; and pushing out the abnormal information based on a preset wire stopping early warning rule.
Therefore, in the embodiment of the invention, the state of the production equipment is monitored, the abnormal information of the production equipment is obtained under the condition that the production equipment is abnormal, and then the abnormal information is pushed according to the pre-established preset wire-stopping early-warning rule, so that the collection and automatic early-warning pushing of the abnormal information when the equipment is stopped are realized, and the capacity loss is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed in the prior art and the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for monitoring line stop of equipment according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a relationship between error description and error frequency according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a relationship between exception information and exception duration according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating a relationship between an abnormal cause type, an abnormal duration and an abnormal proportion according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating a relationship between a component name and an abnormal frequency according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a relationship between a vendor name and an abnormal ratio according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an apparatus wire stop monitoring device according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an equipment line stop monitoring method and device, electronic equipment and a computer readable storage medium, which can realize collection and automatic early warning pushing of abnormal information when the equipment line is stopped in the using process and reduce the capacity loss.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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, fig. 1 is a schematic flow chart of an apparatus outage monitoring method according to an embodiment of the present invention. The method comprises the following steps:
s110: monitoring the state of the production equipment;
it should be noted that, in the actual production process, the state of the production equipment is monitored in real time, and the production equipment may be any automatic production equipment, such as welding equipment, dispensing equipment, assembling equipment, and the like.
S120: acquiring abnormal information when the production equipment is abnormal;
specifically, when the production equipment is abnormal, that is, when the production equipment is stopped, the abnormal information acquired from the production equipment may specifically include an error code, error information, and the like.
S130: and pushing out the abnormal information based on a preset wire stopping early warning rule.
It should be noted that, in practical application, a line stop early warning rule may be preset, and then the obtained abnormal information is pushed based on the line stop condition of the production equipment and the preset line stop early warning rule, so that a worker can maintain the production equipment with the received abnormal information, the line stop time is shortened, and the capacity loss is reduced.
Further, the process of pushing the abnormal information out based on the preset wire-stopping early-warning rule in S130 may specifically include:
when the line stop duration reaches a first preset duration, pushing the abnormal information to a station-level responsible person corresponding to the generating equipment;
judging whether the state of the production equipment is recovered to be normal or not, if not, judging whether the line stop time length reaches a second preset time length or not, and if so, pushing abnormal information to a station-class responsible person and a manager; the first preset time length is less than the second preset time length.
It should be noted that the preset wire stopping early warning rule may be that when the wire stopping time reaches a first preset time length, the abnormal information is pushed to the station-level responsible person corresponding to the production equipment, and when the wire stopping time reaches a second preset time length, the abnormal information is pushed to the station-level responsible person and the administrator corresponding to the production equipment. The first preset time is the longest time that the capacity can be recovered after the production equipment is stopped, and the first preset time is shorter than the second preset time, where the first preset time may be 20min, and the second preset time may be 40min, and certainly may be determined according to actual needs in actual applications, and this is not particularly limited in the embodiment of the present invention.
It can be understood that whether the current line stop duration reaches the first preset duration or not can be specifically judged, if not, the method can continue to wait for the staff to actively find the production equipment of the line stop and maintain the production equipment, and if the line stop duration reaches the first preset duration, it indicates that no staff finds the production equipment of the line stop or the staff cannot complete the maintenance of the production equipment of the line stop within the first preset duration, and at this time, the station-level responsible person corresponding to the production equipment needs to be notified, so that the station-level responsible person assists in maintaining the production equipment of the line stop, the maintenance progress is accelerated, the production equipment is produced again as soon as possible, and the capacity loss is reduced. And after the station-side responsible person is informed, the production equipment can be continuously monitored, if the line stop time reaches a second preset time and the fault of the production equipment is still not eliminated, the abnormal information is pushed to the station-side responsible person and the administrator, so that the station-side responsible person can see the abnormal information to maintain the production equipment which is stopped, the administrator can assist in maintaining the production equipment, the fault is eliminated as soon as possible, the production equipment is put into production, and the capacity loss is further reduced.
Further, the method may further include:
matching a target processing strategy corresponding to the abnormal information from a processing strategy database based on the abnormal information; the processing strategy database is established in advance based on each historical fault data and the corresponding historical processing strategy;
and pushing the target processing strategy.
It should be noted that, in the embodiment of the present invention, a processing policy database corresponding to the type of production equipment may be prepared in advance according to each historical failure data of the same type of production equipment and a corresponding historical processing policy, and the processing policy database may specifically include a processing policy corresponding to each type of abnormal information. Specifically, the fault types included in the abnormal information may be divided, and then each fault type may be further divided into processing strategies under different abnormal reasons corresponding to different component types. For example, the fault types may be divided into hardware, software, human operations, flow patterns, and the like. For example, when the failure type is hardware, the failure may be further classified into other types of failures such as IO/communication failure and module function failure, for example, for IO/communication failure, RBC (Robot Controller), LAC (Laser Controller), ELS (Electronic Scale), CNV (Conveyor), XYT (XYZ table, XYZ axis movement Device), CCD (Charge-coupled Device), BSC (Barcode scanner), etc., when the failure is RBC, the failure cause is connection timeout, and the failure cause is processing policy 1, and when the failure cause is an IP address setting error, processing policy 2, etc. Of course, how to perform the class division when the processing policy database is actually established may be determined according to the actual situation, and this is not particularly limited in the embodiment of the present invention.
It can be understood that, in practical application, a corresponding target processing policy may be matched from the processing policy database based on the obtained abnormal information, and then the target processing policy is pushed out, and while the target processing policy is pushed, the reason for the abnormal may also be pushed, so that a worker may perform maintenance processing on the production equipment that is stopped based on the reason for the abnormal and the target processing policy, thereby improving maintenance efficiency.
Further, the method may further include:
receiving maintenance record information;
a service log is generated based on the service record information.
After the maintenance of the production equipment is completed, the system can also input maintenance record information for the production equipment, including information such as production equipment identification, abnormal components, abnormal reasons, maintenance measures and the like, and generate a maintenance log according to the received maintenance record information for the production equipment.
Still further, the method may further comprise:
determining a faulty component based on the anomaly information;
and determining the service life of the fault component based on the installation time and the fault time of the fault component.
It should be noted that, in the embodiment of the present invention, in order to facilitate subsequent management of components on the generating device, the service life of the faulty component may be determined according to the last installation time of the faulty component and the fault time when the generating device is abnormal, where the service life is the actual service life of the faulty component.
Still further, the method may further comprise:
after the maintenance of the fault component is completed, determining the pre-replacement time of a replacement component corresponding to the fault component based on the service life;
and storing the replacement part corresponding to the pre-replacement time.
It should be noted that, after the repair of the failed component is completed, for the replacement component, the pre-replacement time of the replacement component is further determined according to the service life of the failed component, where the pre-replacement time is shorter than the service life, and the component information (for example, the component name, the ID, and the like) of the replacement component is stored in correspondence with the pre-replacement time, so as to record the pre-replacement time of the component for each component in the production equipment.
Still further, the method may further comprise:
and determining corresponding spare part information aiming at the corresponding pre-replacement time of each part in the production equipment.
Specifically, in order to avoid the production equipment from being out of order due to the fact that the parts reach the service life, in the embodiment of the invention, the spare part information can be determined in advance according to the respective pre-replacement time of each part, and the spare part information can comprise the spare part time and the number of spare parts, that is, for a certain part, the spare part needs to be prepared in a certain period of time before the pre-replacement time, and the number of the spare parts needing to be prepared is determined, so that the parts can be replaced in time when the pre-replacement time is reached, the normal operation of the production equipment is ensured, and the productivity is improved. In addition, after the replacement of the component, the pre-replacement time of the newly replaced component may also be recorded.
In addition, after the abnormal information is obtained, the abnormal data can be stored, and the abnormal data can be analyzed from multiple dimensions according to all the abnormal data of the production equipment in a preset time period, so that the equipment can be maintained better based on an analysis result, the stability of the equipment is improved, and the productivity and the efficiency are improved. For example, the abnormal data is analyzed by taking the error description and the error frequency as analysis objects, or the abnormal data is analyzed by taking different types of abnormal information and abnormal duration as analysis objects, or the abnormal data is analyzed by taking the type of the abnormal reason, the abnormal duration and the abnormal proportion as analysis objects, or the abnormal data is analyzed by taking the component name and the abnormal frequency as analysis objects. The abnormal data is analyzed by taking the error description and the error frequency as analysis objects, the relation between the error description and the error frequency is determined, and the relation can be displayed in a form of a chart specifically, as shown in fig. 2, the error description with long and short abnormal times is favorably found, the corresponding problem is determined based on the error description, and the problem is solved, so that the stability of the equipment is improved, and the productivity is improved. The abnormal data are analyzed by taking different types of abnormal information and abnormal duration as analysis objects, the relation between the abnormal information and the abnormal duration is determined, and the abnormal information and the abnormal duration can be displayed in a form of a chart, as shown in fig. 3, the problem that the abnormal duration is the largest in a period of time can be favorably checked, the problem is focused, and the stability of the equipment is favorably improved. The abnormal reason types, the abnormal duration and the abnormal proportion are used as analysis objects to analyze abnormal data, the relation between the abnormal reason types and the abnormal duration and the abnormal proportion is determined, and the relation can be displayed in a chart form, as shown in fig. 4, the method is beneficial to finding the most main abnormal reason types, paying attention to the most main abnormal reason types, and monitoring the corresponding components in the production process so as to avoid the problems, thereby improving the stability of equipment and improving the productivity. The abnormal data is analyzed by taking the component name and the abnormal frequency as analysis objects to determine the relationship between the component name and the abnormal frequency, and the body can be displayed in a chart form, as shown in fig. 5, the component which is most easy to be abnormal is found, corresponding spare parts can be prepared in advance based on the abnormal frequency, the component is ensured to have enough stock, so that the component can be replaced in time when the component is abnormal, and components of other models or other manufacturers can be selected according to the component which is easy to be abnormal, so that the stability of the equipment is improved.
In practical application, abnormal data acquired by all production equipment on a certain production line in a certain time period can be analyzed from multiple dimensions, so that the equipment can be maintained better, the stability of the equipment is improved, and the productivity and the efficiency are improved. For example, the manufacturer name and the abnormal proportion are used as analysis objects to analyze abnormal data, the relationship between the manufacturer name and the abnormal proportion is determined, and the relationship can be displayed in a form of a chart, as shown in fig. 6, which is beneficial to finding out manufacturers with higher abnormal proportion of components, and components produced by manufacturers with lower abnormal proportion of components can be selected for the same type of components, so that the stability of the equipment is improved. In addition, the data can be fed back to manufacturers based on analysis to find out the reason of high abnormal proportion, and the number and the skill level of maintenance personnel can be improved for the production equipment using the components produced by the manufacturers with high abnormal proportion, so that the problems can be timely found and quickly solved when the production equipment is abnormal, and the production efficiency and the productivity are improved.
Therefore, in the embodiment of the invention, the state of the production equipment is monitored, the abnormal information of the production equipment is obtained under the condition that the production equipment is abnormal, and then the abnormal information is pushed according to the pre-established preset wire-stopping early-warning rule, so that the collection and automatic early-warning pushing of the abnormal information when the equipment is stopped are realized, and the capacity loss is reduced.
On the basis of the foregoing embodiments, an apparatus for monitoring line stop according to an embodiment of the present invention is further provided, and with reference to fig. 7 in particular, the apparatus includes:
the monitoring module 11 is used for monitoring the state of the production equipment;
the acquiring module 12 is used for acquiring abnormal information when the production equipment is abnormal;
and the early warning module 13 is used for pushing out the abnormal information based on a preset wire stopping early warning rule.
It should be noted that the device wire stopping monitoring apparatus provided in the embodiment of the present invention has the same beneficial effects as the device wire stopping monitoring method provided in the above embodiment, and for the device wire stopping monitoring method provided in the embodiment of the present invention, the present invention may refer to the above embodiment and is not described herein again.
As shown in fig. 8, on the basis of the above embodiment, an embodiment of the present invention further provides an electronic device, including:
a memory 20 for storing a computer program;
and a processor 21, configured to execute the computer program to implement the steps of the method for monitoring the line break of the device.
The electronic device provided by the embodiment may include, but is not limited to, a smart phone, a tablet computer, a notebook computer, or a desktop computer.
The processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 21 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 21 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 21 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 21 may further include an AI (Artificial Intelligence) processor for processing a calculation operation related to machine learning.
The memory 20 may include one or more computer-readable storage media, which may be non-transitory. Memory 20 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used for storing the following computer program 201, wherein after being loaded and executed by the processor 21, the computer program is capable of implementing relevant steps of the method for monitoring the wire break of the device disclosed in any one of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202, data 203, and the like, and the storage manner may be a transient storage manner or a permanent storage manner. Operating system 202 may include, among others, windows, unix, linux, and the like. The data 203 may include, but is not limited to, a set offset, etc.
In some embodiments, the electronic device may further include a display 22, an input/output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.
Those skilled in the art will appreciate that the configuration shown in fig. 8 is not intended to be limiting of electronic devices and may include more or fewer components than those shown.
It is understood that, if the device outage monitoring method in the above embodiments is implemented in the form of a software functional unit and sold or used as a stand-alone product, it may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application may be substantially or partially implemented in the form of a software product, which is stored in a storage medium and executes all or part of the steps of the methods of the embodiments of the present application, or all or part of the technical solutions. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), an electrically erasable programmable ROM, a register, a hard disk, a removable magnetic disk, a CD-ROM, a magnetic or optical disk, and other various media capable of storing program codes.
Based on this, the embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the device outage monitoring method are implemented as described above.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (11)

1. An equipment wire-stop monitoring method is characterized by comprising the following steps:
monitoring the state of the production equipment;
acquiring abnormal information when the production equipment is abnormal;
and pushing the abnormal information based on a preset wire stopping early warning rule.
2. The device line-stopping monitoring method according to claim 1, wherein the pushing of the abnormal information based on a preset line-stopping early-warning rule comprises:
when the line stop duration reaches a first preset duration, the abnormal information is pushed to the station-type responsible person corresponding to the generating equipment;
judging whether the state of the production equipment is recovered to be normal or not, if not, judging whether the line stop time length reaches a second preset time length or not, and if so, pushing the abnormal information to the station-type responsible person and the administrator; the first preset time length is less than the second preset time length.
3. The equipment outage monitoring method according to claim 2, further comprising:
matching a target processing strategy corresponding to the abnormal information from a processing strategy database based on the abnormal information; the processing strategy database is established in advance based on each historical fault data and the corresponding historical processing strategy;
and pushing the target processing strategy.
4. The equipment outage monitoring method according to claim 1, further comprising:
receiving maintenance record information;
and generating a maintenance log based on the maintenance record information.
5. The equipment outage monitoring method according to any one of claims 1-4, further comprising:
determining a faulty component based on the anomaly information;
and determining the service life of the fault component based on the installation time and the fault time of the fault component.
6. The equipment outage monitoring method according to claim 5, further comprising:
determining the replacement time of a replacement part corresponding to the fault part based on the service life after the fault part is repaired;
storing the replacement component in correspondence with the pre-replacement time.
7. The equipment outage monitoring method according to claim 6, further comprising:
and determining corresponding spare part information aiming at the corresponding pre-replacement time of each part in the production equipment.
8. The equipment outage monitoring method according to claim 1, after obtaining the abnormal information, further comprising:
storing the abnormal data;
and performing multi-dimensional analysis on all abnormal data of the production equipment in a preset time period.
9. An equipment wire stop monitoring device, comprising:
the monitoring module is used for monitoring the state of the production equipment;
the acquisition module is used for acquiring abnormal information when the production equipment is abnormal;
and the early warning module is used for pushing the abnormal information out based on a preset wire stopping early warning rule.
10. An electronic device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the device outage monitoring method according to any one of claims 1 to 8 when executing the computer program.
11. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for monitoring the outage of a device according to any one of claims 1 to 8.
CN202211473435.9A 2022-11-21 2022-11-21 Equipment wire-stopping monitoring method and device, electronic equipment and system Pending CN115718450A (en)

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Application Number Priority Date Filing Date Title
CN202211473435.9A CN115718450A (en) 2022-11-21 2022-11-21 Equipment wire-stopping monitoring method and device, electronic equipment and system

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116258344A (en) * 2023-03-20 2023-06-13 中机生产力促进中心有限公司 Monitoring method and system for machining
CN116909838A (en) * 2023-06-21 2023-10-20 深圳腾信百纳科技有限公司 Abnormal log reporting method, system, terminal equipment and storage medium
CN117474710A (en) * 2023-12-27 2024-01-30 汉狮光动科技(广东)有限公司 Hollow glass whole-process informationized management system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116258344A (en) * 2023-03-20 2023-06-13 中机生产力促进中心有限公司 Monitoring method and system for machining
CN116909838A (en) * 2023-06-21 2023-10-20 深圳腾信百纳科技有限公司 Abnormal log reporting method, system, terminal equipment and storage medium
CN117474710A (en) * 2023-12-27 2024-01-30 汉狮光动科技(广东)有限公司 Hollow glass whole-process informationized management system
CN117474710B (en) * 2023-12-27 2024-03-22 汉狮光动科技(广东)有限公司 Hollow glass whole-process informationized management system

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