CN113806155B - Industrial equipment management method and system based on Internet of things - Google Patents
Industrial equipment management method and system based on Internet of things Download PDFInfo
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- CN113806155B CN113806155B CN202111091809.6A CN202111091809A CN113806155B CN 113806155 B CN113806155 B CN 113806155B CN 202111091809 A CN202111091809 A CN 202111091809A CN 113806155 B CN113806155 B CN 113806155B
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
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Abstract
The embodiment of the invention is suitable for the technical field of industrial Internet of things, and particularly provides an industrial equipment management method and system based on the Internet of things, wherein in the industrial equipment management method based on the Internet of things, firstly, a scanning detection period of each equipment fault is defined; calling a last industrial equipment scanning time node of each equipment fault in a scanning log database; in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault; the industrial equipment executes the scanning strategy based on the grouping result, so that the problem that each equipment fault of the industrial system is scanned one by one in the process of scanning and detecting the node equipment of the industrial system at present can be avoided, the types of single detection and scanning of the equipment faults are effectively reduced, and the problems of large data volume, time consumption and huge pressure on the operation of the industrial system of the Internet of things are solved.
Description
Technical Field
The embodiment of the invention belongs to the technical field of industrial Internet of things, and particularly relates to an industrial equipment management method and system based on the Internet of things.
Background
The internet of things of industrial equipment is a new stage which continuously integrates various acquisition and control sensors or controllers with sensing and monitoring capabilities, mobile communication, intelligent analysis and other technologies into each link of an industrial production process, so that the manufacturing efficiency is greatly improved, the product quality is improved, the product cost and the resource consumption are reduced, and the traditional industry is finally promoted to intellectualization.
The manufacturing industry of industrial equipment is the pillar industry of national economy of China, and the industrial equipment is an important carrier for high-end manufacturing. The development of the economic globalization, the information technology revolution and the modern management idea has enabled the world manufacturing industry to have a great change, and the equipment manufacturing industry is developing towards globalization and servization. The globalization background enables the users of the equipment to be distributed in all corners of the world, and brings great difficulty and challenge to the operation and maintenance of the equipment.
The existing industrial internet of things system gradually becomes the mainstream of industrial production along with the technical progress, plays more and more important roles, and can achieve the purpose of saving time and material cost in industrial production. As is known, when the number of intelligent hardware devices increases, an internet of things system needs to be built, and when remote control is to be realized, hardware for data acquisition, calculation and storage is needed.
At present, a large number of devices and apparatuses are installed in a large-scale industrial enterprise, and in order to ensure the production safety of the enterprise, the operation states of the devices and apparatuses need to be monitored, and device faults are discovered in time, so that the potential safety hazards of the devices are eliminated as soon as possible. The types of the industrial equipment of the internet of things are various and complicated, and with the increasing number of industrial equipment in the industrial internet of things, if the operating state of one of the pieces of the internet of things fails, the normal operation of the whole industrial production system may be affected, and the proceeding of industrial production may be affected. Therefore, in order to ensure the normal operation of the node equipment in the industrial production system, the running state of the internet of things equipment needs to be detected in time so as to determine whether the internet of things equipment has equipment potential safety hazards. However, in the prior art, when the internet of things device is scanned and detected, each node device of the industrial system is often required to be scanned and detected comprehensively in the process of scanning and detecting the node devices of the industrial system in a traditional mode, however, when each node device is scanned and detected, the node devices are required to be scanned and detected one by one according to all known device fault types, data information is sent and received in each detection and scanning process, for example, a specific code is sent to the device through a computer, the device returns a corresponding fault code, and then the fault reason is determined, so that when all types of device faults are scanned and detected to all the node industrial devices, the data size is large, time is consumed, and huge pressure is caused to the operation of the internet of things industrial system.
Disclosure of Invention
The embodiment of the invention aims to provide an industrial equipment management method and system based on the Internet of things, and aims to solve the problems that when scanning and detecting each node equipment at present, the node equipment needs to be scanned and detected one by one according to all known equipment fault types, data information is sent and received in each scanning and detecting process, and when scanning and detecting all types of equipment faults of all node industrial equipment, the data size is large, time is consumed, and huge pressure is caused to the operation of an industrial system of the Internet of things. In order to achieve the above object, the embodiments of the present invention provide the following technical solutions.
In a first aspect, in a preferred embodiment provided by the present invention, an industrial device management method based on the internet of things is provided, where the industrial device management method includes:
determining the grade of each equipment fault based on the influence degree of each equipment fault by using a known equipment fault feature library, and determining the period of scanning detection required for each equipment fault according to the grade;
calling a last industrial equipment scanning time node of each equipment fault in a scanning log database;
in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault;
a scanning strategy is performed on the industrial equipment based on the grouping result.
In some embodiments provided by the present invention, the step of grouping all the device failures that need to be scan detected includes:
grouping the equipment fault types reaching the detection period into necessary fault groups required to be scanned by the current node; and
and grouping the equipment fault types which do not reach the detection period into unnecessary fault groups which do not need to be scanned by the current node.
In some embodiments provided herein, the step of performing a scanning strategy for the industrial equipment based on the grouping result comprises:
scanning and detecting the fault category of the necessary fault group for the industrial equipment; and
and scanning and detecting the industrial equipment without performing scanning and detecting on the fault types of the unnecessary fault groups.
In some embodiments provided by the present invention, after the step of executing the scanning policy on the industrial device based on the grouping result, the industrial device management method further includes: updating scan time nodes of necessary fault groups in currently detected scan nodes of the industrial equipment in the scan log database.
In some embodiments provided herein, the step of performing scanning detection on the industrial equipment comprises:
acquiring index data of target industrial equipment during operation;
inputting the index data into a current type of equipment fault model to obtain fault characteristic matching degree;
and comparing the fault feature matching degree with a preset threshold value, and determining whether the current type of equipment fault exists in the target industrial equipment or not based on the comparison result.
In some embodiments provided by the present invention, the step of determining whether the target industrial device has a current type of device fault based on the comparison result specifically includes:
when the fault matching degree is smaller than the preset threshold value, determining that the current type of equipment fault does not exist in the target industrial equipment;
and when the fault matching degree is greater than the preset threshold value, determining that the current type of equipment fault exists in the target industrial equipment, and sending a fault warning.
In some embodiments of the present invention, before the step of inputting the index data into the current type of equipment failure model, the step of scanning and detecting the industrial equipment further includes: constructing the equipment fault model, wherein the step of constructing the equipment fault model comprises:
setting the fault type and the interval of each index parameter when the fault occurs according to the production standard and the process specification;
analyzing according to all the fault types within a preset period and the intervals of all index parameters when the faults occur, and extracting fault characteristics;
according to all the fault characteristics, counting the historical frequency of fault occurrence and the fault duration;
and constructing the fault model according to the historical times of the fault occurrence and the fault duration.
In a second aspect, in another preferred embodiment provided by the present invention, an industrial device management system based on the internet of things is provided, where the industrial device management system includes a period determination unit, a node invoking unit, a fault grouping unit, and a scan execution unit, where:
the period determining unit is used for determining the grade of each equipment fault based on the influence degree of each equipment fault by using a known equipment fault feature library, and determining the period of each equipment fault needing scanning detection according to the grade;
the node calling unit is used for calling the last industrial equipment scanning time node of each equipment fault in the scanning log database;
the fault grouping unit is used for grouping all equipment faults needing to be scanned and detected based on the detection period of each equipment fault in the current detection scanning node of the industrial equipment;
and the scanning execution unit is used for executing a scanning strategy on the industrial equipment based on the grouping result.
In a third aspect, in a further preferred embodiment provided by the present invention, there is provided an industrial device management device based on the internet of things, including:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of internet of things-based industrial device management as described in the first aspect.
In a fourth aspect, in a further preferred embodiment provided by the present invention, there is provided a storage medium containing computer executable instructions for performing the internet of things based industrial equipment management method according to the first aspect when executed by a computer processor.
Compared with the prior art, the industrial equipment management method and system based on the Internet of things provided by the embodiment of the invention have the technical advantages that: firstly, defining a scanning detection period of each equipment fault; calling a last industrial equipment scanning time node of each equipment fault in a scanning log database; in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault; the industrial equipment executes the scanning strategy based on the grouping result, so that the problem that each equipment fault of the industrial system is scanned one by one in the process of scanning and detecting the node equipment of the industrial system at present can be avoided, the types of single detection and scanning of the equipment faults are effectively reduced, and the problems of large data volume, time consumption and huge pressure on the operation of the industrial system of the Internet of things are solved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a system architecture diagram of an industrial device management method based on the internet of things according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating an implementation of a method for managing industrial equipment based on the internet of things according to an embodiment of the present invention;
fig. 3 is a sub-flowchart of an implementation of the method for managing industrial equipment based on the internet of things according to the embodiment of the present invention;
fig. 4 is a sub-flowchart of another implementation of the method for managing industrial equipment based on the internet of things according to the embodiment of the present invention;
fig. 5 is a block diagram of an industrial device management system based on the internet of things according to an embodiment of the present invention;
fig. 6 is a block diagram of an industrial device management device based on the internet of things according to an embodiment of the present invention.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments herein to enable those skilled in the art to practice them. Portions and features of some embodiments may be included in or substituted for those of others. The scope of the embodiments herein includes the full ambit of the claims, as well as all available equivalents of the claims. The terms "first," "second," and the like, herein are used solely to distinguish one element from another without requiring or implying any actual such relationship or order between such elements. In practice, a first element can also be referred to as a second element, and vice versa. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a structure, apparatus, or device that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such structure, apparatus, or device. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a structure, device or apparatus that comprises the element. The embodiments 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.
At present, when the internet of things equipment is scanned and detected in the prior art, each node equipment of an industrial system is often required to be comprehensively scanned in the process of scanning and detecting the node equipment of the industrial system in a traditional mode, however, when each node equipment is scanned and detected, the node equipment needs to be scanned and detected one by one according to all known equipment fault types, data information is sent and received in each scanning and detecting process, if a specific code is sent to the equipment through a computer, the equipment returns a corresponding fault code, and then the fault reason is determined, so that when all the node industrial equipment is scanned and detected for all the equipment faults, the data size is large, time is consumed, and huge pressure is caused to the operation of the internet of things industrial system.
In order to solve the above problems, embodiments of the present invention provide a method and a system for managing industrial equipment based on the internet of things, and specifically, in the method for managing industrial equipment based on the internet of things provided in embodiments of the present invention, a scanning detection period of each equipment fault is defined first; calling a last industrial equipment scanning time node of each equipment fault in a scanning log database; in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault; the industrial equipment executes the scanning strategy based on the grouping result, so that the problem that each equipment fault of the industrial system is scanned one by one in the process of scanning and detecting the node equipment of the industrial system at present can be avoided, the types of single detection and scanning of the equipment faults are effectively reduced, and the problems of large data volume, time consumption and huge pressure on the operation of the industrial system of the Internet of things are solved.
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
Fig. 1 is a system architecture diagram illustrating an internet of things-based industrial device management method according to an embodiment of the present invention.
As shown in fig. 1, in a preferred embodiment of the present invention, a system architecture of the internet-of-things-based industrial device management method includes a detection scanning device 101 and a plurality of internet-of-things devices 102; the detection scanning device 101 and the internet of things device 102 may be connected through a network, and the network may be a medium for providing a communication link between the detection scanning device 101 and the internet of things device 102.
Preferably, the network may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
It is understood that, in the embodiment of the present invention, the detection scanning device 101 interacts with the internet of things device 102 through a network to implement data transmission.
The detection scanning device 101 may be hardware or software. When the detection scanning device 101 is hardware, index data of the internet of things device 102 may be read, where the index data includes, but is not limited to, a temperature, a speed, a pressure, and a liquid level of the internet of things device during operation, and the detection scanning device 101 is further configured to perform personal authentication and authorization, and specifically, the detection scanning device 101 may be various electronic devices with a communication function, including, but not limited to, a smart phone, a tablet computer, an e-book reader, an MP3 player, an MP4 player, a laptop computer, a desktop computer, and the like.
When the detection scanning device 101 is software, it can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein.
Preferably, in the embodiment of the present invention, the internet of things device 102 is an industrial device that needs to perform detection scanning.
Fig. 2 exemplarily shows an implementation flowchart of an industrial device management method based on the internet of things according to an embodiment of the present invention.
As shown in fig. 2, in a preferred embodiment provided by the present invention, a method for managing industrial equipment based on the internet of things includes:
step S201: determining the grade of each equipment fault based on the influence degree of each equipment fault by using a known equipment fault feature library, and determining the period of scanning detection required for each equipment fault according to the grade;
in step S201 provided in the embodiment of the present invention, a known device fault feature library is obtained by analyzing all the fault types within a preset time and intervals of each index parameter when the fault occurs, extracting fault features, and then summarizing the extracted fault features to form the device fault feature library, where it can be understood that the degree of influence of each type of device fault on a faulty device is different, and based on this, the cycle of detecting and scanning a fault type having a relatively large degree of influence on an industrial device is relatively short, that is, the type of fault problem needs to be frequently scanned on the industrial device; on the contrary, for the fault type with smaller influence degree on the industrial equipment, the period for detecting and scanning is longer, namely the fault problem of the type of the industrial equipment does not need to be frequently scanned; thus, the shorter the period in which the detection scan needs to be performed, the higher the priority of this type of failure level.
Step S202: calling a last industrial equipment scanning time node of each equipment fault in a scanning log database;
it can be understood that, in step S202 provided in the preferred embodiment of the present invention, the last industrial device scanning time node refers to the latest time for performing the detection scanning on the current type of device fault, for example, after the detection scanning on the industrial device is performed on the type a device fault in 9 month 1, the detection scanning is performed between 9 month 1 and 10 month 1, and the detection scanning is not performed on the type a device fault again, when the detection scanning is performed on the current 10 month 1, the last industrial device scanning time node in the scanning log database for the type a device fault is 9 month 1.
Step S203: in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault;
in step S203 provided in the preferred embodiment of the present invention, the grouping is determined based on a detection period of the device fault category, where the device fault category reaching the detection period is grouped into a necessary fault group that the current node needs to scan; and grouping the equipment fault types which do not reach the detection period into unnecessary fault groups which do not need to be scanned by the current node, and by grouping the fault types of the current node, under the condition of ensuring that each fault scanning period is within a preset safe time range, all nodes do not need to be scanned each time, so that the data volume of single fault scanning is reduced, the time is saved, and the huge pressure on the system operation is reduced.
Step S204: a scanning strategy is performed on the industrial equipment based on the grouping result.
Specifically, in step S204 provided in the embodiment of the present invention, the scanning policy is to perform scanning detection on the fault category of the necessary fault group for the industrial device; and the scanning detection aiming at the industrial equipment is not carried out on the fault types of the unnecessary fault groups, so that all nodes are not required to be scanned every time under the condition of ensuring that each fault scanning period is within a preset safe time range, the data volume of single fault scanning is reduced, the time is saved, and the huge pressure on the system operation is reduced.
Therefore, the industrial equipment management method based on the internet of things provided by the embodiment of the invention can avoid the problem that each equipment fault of an industrial system is scanned one by one in the process of scanning and detecting the node equipment of the industrial system at present, effectively reduces the types of single detection and scanning of the equipment faults, and solves the problems of large data volume, time consuming and huge pressure on the operation of the industrial system of the internet of things.
Further, in some embodiments provided by the present invention, after the step of executing the scanning policy on the industrial device based on the grouping result, the industrial device management method further includes:
step S205: updating scan time nodes of necessary fault groups in currently detected scan nodes of the industrial equipment in the scan log database.
In some embodiments provided by the present invention, the step of grouping all the device failures that need to be scan detected includes:
grouping the equipment fault types reaching the detection period into necessary fault groups required to be scanned by the current node; and
and grouping the equipment fault types which do not reach the detection period into unnecessary fault groups which do not need to be scanned by the current node.
In some embodiments provided herein, the step of performing a scanning strategy for the industrial equipment based on the grouping result comprises:
scanning and detecting the fault category of the necessary fault group for the industrial equipment; and
and scanning and detecting the industrial equipment without performing scanning and detecting on the fault types of the unnecessary fault groups.
Fig. 3 is a sub-flowchart illustrating an implementation of the method for managing industrial equipment based on the internet of things according to an embodiment of the present invention.
As shown in fig. 3, in some embodiments of the present invention, the step of performing scanning detection on the industrial equipment includes:
step S301: acquiring index data of target industrial equipment during operation;
specifically, in the embodiment of the present invention, the index data includes: at least one of temperature, speed, pressure and liquid level is collected, it can be understood that the index data includes but is not limited to at least one of collected temperature, speed, pressure and liquid level, the collected index data during the operation of the equipment can be selected according to the actual detection requirement, and the specific index type included in the index data is not limited in the invention.
Step S302: inputting the index data into a current type of equipment fault model to obtain fault characteristic matching degree;
step S303: and comparing the fault feature matching degree with a preset threshold value, and determining whether the current type of equipment fault exists in the target industrial equipment or not based on the comparison result.
In some embodiments provided by the present invention, the step of determining whether the target industrial device has a current type of device fault based on the comparison result specifically includes:
when the fault matching degree is smaller than the preset threshold value, determining that the current type of equipment fault does not exist in the target industrial equipment;
and when the fault matching degree is greater than the preset threshold value, determining that the current type of equipment fault exists in the target industrial equipment, and sending a fault warning.
It can be understood that the specific value of the preset threshold in the embodiment of the present invention is set according to actual requirements, and the specific value of the preset threshold is not limited by the present invention.
Fig. 4 is a sub-flowchart illustrating another implementation of the method for managing industrial equipment based on the internet of things according to an embodiment of the present invention.
As shown in fig. 4, in some embodiments of the present invention, before the step of inputting the index data into the current type of equipment failure model, the step of scanning and detecting the industrial equipment further includes: constructing the equipment fault model, wherein the step of constructing the equipment fault model comprises:
s401, setting a fault type and intervals of index parameters when the fault occurs according to production standards and process specifications;
s402, analyzing according to all fault types in a preset age and intervals of all index parameters when the faults occur, and extracting fault characteristics;
step S403, counting the failure occurrence history times and failure duration according to all the failure characteristics;
and S404, constructing the fault model according to the historical times of fault occurrence and the fault duration.
It is to be understood that, in the preferred embodiment provided by the present invention, the fault feature includes at least one of a fault type, a fault parameter, and a fault occurrence time, it is to be understood that the fault feature includes but is not limited to include at least one of a fault type, a fault parameter, and a fault occurrence time, the extracted fault feature of the equipment fault may be selected according to an actual detection requirement, and the extracted fault feature of the equipment fault is not limited by the present invention.
Fig. 5 is a block diagram schematically illustrating a structure of an internet of things-based industrial device management system according to an embodiment of the present invention.
As shown in fig. 5, in another preferred embodiment provided by the present invention, an industrial device management system based on the internet of things is provided, the industrial device management system includes a period determining unit 501, a node retrieving unit 502, a fault grouping unit 503, and a scan executing unit 504, wherein:
the period determining unit 501 is configured to determine, by using a known device fault feature library, a level of each device fault based on an influence degree of each device fault, and determine, according to the level, a period in which each device fault needs to be scanned and detected;
the node retrieving unit 502 is configured to retrieve a last industrial device scanning time node of each device fault in a scanning log database;
the failure grouping unit 503 is configured to group, in a current detection scanning node of the industrial device, all device failures that need to be scanned and detected based on a detection period of each device failure;
the scanning execution unit 504 is configured to execute a scanning strategy on the industrial equipment based on the grouping result;
a node updating unit 505, configured to update the scan time node of the necessary fault group in the currently detected scan nodes of the industrial equipment in the scan log database.
Fig. 6 is a block diagram schematically illustrating a structure of an internet of things-based industrial device management device according to an embodiment of the present invention.
Further, in a further preferred embodiment of the present invention, an internet of things-based industrial device management apparatus is provided, where the internet of things-based industrial device management apparatus is configured to execute a processing flow of the internet of things-based industrial device management method. The industrial equipment management based on the Internet of things comprises the following steps:
a memory 601 and one or more processors 602;
the memory 601 is used for storing one or more programs;
when executed by the one or more processors 602, cause the one or more processors 602 to implement the method for internet of things-based industrial device management as provided by the embodiments above.
In a preferred embodiment provided by the present invention, the method for managing industrial equipment based on the internet of things includes the following steps: determining the grade of each equipment fault based on the influence degree of each equipment fault by using a known equipment fault feature library, and determining the period of scanning detection required for each equipment fault according to the grade; calling a last industrial equipment scanning time node of each equipment fault in a scanning log database; in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault; a scanning strategy is performed on the industrial equipment based on the grouping result.
Further, in the real-time embodiment provided by the present invention, the industrial device management based on the internet of things further includes a communication interface 603 for receiving a control command.
Further, in yet another preferred embodiment provided by the present invention, there is provided a storage medium containing computer executable instructions for performing the internet of things-based industrial equipment management method provided as the above embodiment when executed by a computer processor.
In a preferred embodiment provided by the present invention, the method for managing industrial equipment based on the internet of things includes the following steps: determining the grade of each equipment fault based on the influence degree of each equipment fault by using a known equipment fault feature library, and determining the period of scanning detection required for each equipment fault according to the grade; calling a last industrial equipment scanning time node of each equipment fault in a scanning log database; in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault; a scanning strategy is performed on the industrial equipment based on the grouping result.
In summary, according to the industrial device management method and system based on the internet of things provided by the embodiments of the present invention, firstly, a scanning detection period of each device fault is defined; calling a last industrial equipment scanning time node of each equipment fault in a scanning log database; in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault; the industrial equipment executes the scanning strategy based on the grouping result, so that the problem that each equipment fault of the industrial system is scanned one by one in the process of scanning and detecting the node equipment of the industrial system at present can be avoided, the types of single detection and scanning of the equipment faults are effectively reduced, and the problems of large data volume, time consumption and huge pressure on the operation of the industrial system of the Internet of things are solved.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
In a typical configuration of an embodiment of the present invention, the terminal, the device serving the network, and the computing device include one or more processors (CPUs), input/output interfaces, network interfaces, and memories.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data.
Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. The embodiments of the disclosure are intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (4)
1. An industrial equipment management method based on the Internet of things is characterized by comprising the following steps: determining the grade of each equipment fault based on the influence degree of each equipment fault by using a known equipment fault feature library, and determining the period of scanning detection required for each equipment fault according to the grade;
calling a last industrial equipment scanning time node of each equipment fault in a scanning log database;
in a current detection scanning node of industrial equipment, grouping all equipment faults needing scanning detection based on the detection period of each equipment fault;
performing a scanning strategy on the industrial equipment based on the grouping result;
the step of grouping all the equipment faults needing to be scanned and detected comprises the following steps: grouping the equipment fault types reaching the detection period into necessary fault groups required to be scanned by the current node; and grouping the equipment fault types which do not reach the detection period into unnecessary fault groups which do not need to be scanned by the current node;
the step of executing a scanning strategy for the industrial device based on the grouping result comprises:
scanning and detecting the fault category of the necessary fault group for the industrial equipment;
and not scanning and detecting the industrial equipment according to the fault category of the unnecessary fault group;
after the step of executing the scanning policy on the industrial device based on the grouping result, the industrial device management method further includes: updating scan time nodes of necessary fault groups in currently detected scan nodes of the industrial equipment in the scan log database;
the step of scan detection for the industrial equipment comprises: collecting index data of target industrial equipment in operation,
inputting the index data into a current type of equipment fault model to obtain fault characteristic matching degree;
comparing the fault feature matching degree with a preset threshold value, and determining whether the current type of equipment fault exists in the target industrial equipment or not based on the comparison result;
wherein, the index data comprises: collecting at least one of temperature, speed, pressure and liquid level;
the step of determining whether the current type of equipment fault exists in the target industrial equipment based on the comparison result specifically includes: when the fault feature matching degree is smaller than the preset threshold value, determining that the current type of equipment fault does not exist in the target industrial equipment;
when the fault feature matching degree is larger than the preset threshold value, determining that the current type of equipment fault exists in the target industrial equipment, and sending a fault warning;
prior to the step of inputting the indicator data into a current class of equipment failure model, the step of scan detection for the industrial equipment further comprises: constructing the equipment fault model, wherein the step of constructing the equipment fault model comprises: setting the fault type and the interval of each index parameter when the fault occurs according to the production standard and the process specification;
analyzing according to all the fault types within a preset period and the intervals of all index parameters when the faults occur, and extracting fault characteristics;
according to all the fault characteristics, counting the historical frequency of fault occurrence and the fault duration;
and constructing the fault model according to the historical times of the fault occurrence and the fault duration.
2. An industrial equipment management system based on the internet of things, which is used for realizing the industrial equipment management method based on the internet of things as claimed in claim 1, wherein the industrial equipment management system comprises a period determination unit, a node calling unit, a fault grouping unit and a scanning execution unit, wherein: the period determining unit is used for determining the grade of each equipment fault based on the influence degree of each equipment fault by using a known equipment fault feature library, and determining the period of each equipment fault needing scanning detection according to the grade;
the node calling unit is used for calling the last industrial equipment scanning time node of each equipment fault in the scanning log database;
the fault grouping unit is used for grouping all equipment faults needing to be scanned and detected based on the detection period of each equipment fault in the current detection scanning node of the industrial equipment;
and the scanning execution unit is used for executing a scanning strategy on the industrial equipment based on the grouping result.
3. An industrial equipment management device based on the internet of things, the device comprising: a memory and one or more processors;
the memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of internet of things-based industrial device management of claim 1.
4. A storage medium containing computer-executable instructions for performing the internet of things-based industrial equipment management method of claim 1 when executed by a computer processor.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000069122A (en) * | 1998-08-26 | 2000-03-03 | Nippon Telegr & Teleph Corp <Ntt> | Fault part specifying method and medium recording fault part specifying program |
| CN104917085A (en) * | 2015-06-17 | 2015-09-16 | 云南电网有限责任公司昆明供电局 | Transformer maintenance decision method for optimizing reliability and economy |
| WO2017171689A1 (en) * | 2016-03-28 | 2017-10-05 | Podrieza Serhii | Diagnostics and repair method as per technical state of the aircraft soft fuel tanks |
| CN110855743A (en) * | 2019-09-30 | 2020-02-28 | 上海大学 | Intelligent building remote operation and maintenance system based on data cloud platform |
| CN112163618A (en) * | 2020-09-27 | 2021-01-01 | 珠海格力电器股份有限公司 | Equipment fault detection method and detection system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108989083B (en) * | 2018-06-01 | 2021-02-09 | 安徽师范大学 | Fault detection performance optimization method based on hybrid strategy in cloud environment |
| CN112383509B (en) * | 2020-10-21 | 2022-06-03 | 南京创维信息技术研究院有限公司 | Internet of things equipment safety monitoring system and method based on data flow |
-
2021
- 2021-09-17 CN CN202111091809.6A patent/CN113806155B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000069122A (en) * | 1998-08-26 | 2000-03-03 | Nippon Telegr & Teleph Corp <Ntt> | Fault part specifying method and medium recording fault part specifying program |
| CN104917085A (en) * | 2015-06-17 | 2015-09-16 | 云南电网有限责任公司昆明供电局 | Transformer maintenance decision method for optimizing reliability and economy |
| WO2017171689A1 (en) * | 2016-03-28 | 2017-10-05 | Podrieza Serhii | Diagnostics and repair method as per technical state of the aircraft soft fuel tanks |
| CN110855743A (en) * | 2019-09-30 | 2020-02-28 | 上海大学 | Intelligent building remote operation and maintenance system based on data cloud platform |
| CN112163618A (en) * | 2020-09-27 | 2021-01-01 | 珠海格力电器股份有限公司 | Equipment fault detection method and detection system |
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