CN114971438A - Industrial equipment monitoring method, device, equipment and medium based on industrial internet - Google Patents
Industrial equipment monitoring method, device, equipment and medium based on industrial internet Download PDFInfo
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Abstract
The invention belongs to the technical field of industrial equipment monitoring, and discloses an industrial equipment monitoring method, an industrial equipment monitoring device, industrial equipment and a medium based on an industrial internet. The method comprises the following steps: acquiring information of orders being processed by each assembly line based on the industrial internet; determining a progress abnormal order according to the order information; determining an abnormal group from the order equipment group according to the progress abnormal order; calling equipment operation data of each key monitoring equipment in the abnormal group; and determining abnormal equipment from each key monitoring equipment according to the equipment operation data. By the aid of the method, the working state of each industrial device and the working progress of the order are monitored based on the industrial internet, so that the working progress and the abnormity of each industrial device can be integrally controlled and analyzed.
Description
Technical Field
The invention relates to the technical field of industrial equipment monitoring, in particular to an industrial equipment monitoring method, device, equipment and medium based on an industrial internet.
Background
At present, the working states of all devices are individually and separately monitored on industrial production and assembly line monitoring, so that the monitoring of the assembly line and the industrial devices on the industrial production is limited to a single device, macroscopic monitoring cannot be performed on orders or the whole production project, a manager cannot timely control the industrial devices related to the production project, and a production plan can be influenced.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an industrial equipment monitoring method, an industrial equipment monitoring device, an industrial equipment monitoring equipment and a medium, and aims to solve the technical problems that in the prior art, the industrial equipment monitoring is carried out on a single piece of equipment based on single data and state monitoring, and each piece of equipment cannot be subjected to combined management and monitoring.
In order to achieve the above object, the present invention provides an industrial equipment monitoring method based on industrial internet, the method comprising the steps of:
acquiring order information being processed by each assembly line based on the industrial internet;
determining a progress abnormal order according to the order information;
determining an abnormal group from the order equipment group according to the progress abnormal order;
calling equipment operation data of each key monitoring equipment in the abnormal group;
and determining abnormal equipment from each key monitoring equipment according to the equipment operation data.
Optionally, before determining an abnormal group from the order device group according to the progress abnormal order, the method further includes:
acquiring equipment production information uploaded by industrial equipment from the industrial Internet;
determining the order number of each order according to the order information;
determining the order numbers of the industrial equipment which are processing according to the equipment production information;
determining the corresponding relation between each industrial device and each order according to the order number and the order number being processed;
and grouping the industrial equipment according to the corresponding relation to obtain a plurality of order equipment groups comprising a plurality of industrial equipment.
Optionally, the determining a schedule abnormal order according to the order information includes:
determining the production record of each order according to the order information;
determining order progress information of each order according to the production record;
acquiring project planning information of each order;
determining order plan information of each order on the production progress according to the project plan information;
and determining an order with abnormal progress according to the order progress information and the order plan information.
Optionally, the determining a progress abnormal order according to the order progress information and the order plan information includes:
determining daily average output of each order according to the order progress information;
determining daily planned output quantity of each order according to the order planning information;
and determining a progress abnormal order from the orders according to the daily average output quantity and the daily planned output quantity.
Optionally, the determining a schedule abnormal order from the orders according to the daily average output capacity and the daily planned output capacity includes:
determining the output deviation of each order according to the daily average output and the daily planned output;
determining the number of remaining schedule days according to the order progress information;
determining the total plan deviation of each order according to the remaining schedule days and the output deviation;
comparing the planned total deviation of each order with a deviation maximum threshold value, and taking the order of which the planned total deviation is larger than the deviation maximum threshold value as a progress abnormal order.
Optionally, the determining abnormal equipment from each key monitoring equipment according to the equipment operation data includes:
acquiring equipment connection information of each key monitoring equipment corresponding to the abnormal group;
determining the upstream and downstream relation of each key monitoring device according to the device connection information;
determining the order production flow sequence of each order according to the upstream and downstream relation;
determining equipment power-on data and equipment output information of each key monitoring equipment according to the equipment operation data;
and determining abnormal equipment according to the order production flow sequence, the equipment power-on data and the equipment output information.
Optionally, the determining abnormal devices according to the order production flow sequence, the device power-on data, and the device output information includes:
judging whether the key monitoring equipment with insufficient power supply exists according to the equipment power-on data;
when the key monitoring equipment with insufficient power supply does not exist, determining the output change trend of each key monitoring equipment according to the equipment output information;
determining a yield variation curve of each key monitoring device along with the time variation according to the yield variation trend;
determining yield abnormal equipment according to the yield change curve;
and sequencing the abnormal yield equipment according to the order production flow sequence to determine the abnormal yield equipment.
In addition, in order to achieve the above object, the present invention further provides an industrial device monitoring apparatus based on an industrial internet, including:
the information acquisition module is used for acquiring the order information being processed by each assembly line based on the industrial Internet;
the order checking module is used for determining a progress abnormal order according to the order information;
the abnormal locking module is used for determining an abnormal group from the order equipment group according to the progress abnormal order;
the data calling module is used for calling equipment operation data of each key monitoring equipment in the abnormal group;
and the equipment determining module is used for determining abnormal equipment from each key monitoring equipment according to the equipment operating data.
In addition, in order to achieve the above object, the present invention further provides an industrial device monitoring apparatus based on an industrial internet, including: the industrial internet-based industrial equipment monitoring program is configured to implement the steps of the industrial internet-based industrial equipment monitoring method as described above.
In addition, to achieve the above object, the present invention also provides a medium having an industrial internet-based industrial device monitoring program stored thereon, which, when being executed by a processor, implements the steps of the industrial internet-based industrial device monitoring method as described above.
The method includes the steps that order information which is being processed by each assembly line is obtained on the basis of the industrial internet; determining a progress abnormal order according to the order information; determining an abnormal group from the order equipment group according to the progress abnormal order; calling equipment operation data of each key monitoring equipment in the abnormal group; and determining abnormal equipment from each key monitoring equipment according to the equipment operation data. By the method, the order information which is being processed by each assembly line is obtained based on the industrial internet, then the progress abnormal order is determined based on the order information, the abnormal grouping of the equipment corresponding to the progress abnormal order is determined, and finally the equipment operation data of the key monitoring equipment of the abnormal grouping is analyzed, so that the abnormal equipment in the key monitoring equipment is determined. The method and the device realize monitoring of the working state of each industrial device and the working progress of the order based on the industrial internet, so that the working progress and whether the working progress of each industrial device is abnormal or not can be integrally controlled and analyzed.
Drawings
FIG. 1 is a schematic diagram of an industrial Internet-based monitoring device for industrial equipment in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the industrial Internet-based monitoring method for industrial equipment according to the present invention;
FIG. 3 is a schematic diagram of a yield variation curve according to an embodiment of the industrial Internet-based monitoring method for industrial equipment of the present invention;
FIG. 4 is a schematic flow chart of a second embodiment of the industrial Internet-based monitoring method for industrial equipment according to the present invention;
fig. 5 is a block diagram illustrating a first embodiment of an industrial equipment monitoring apparatus based on the industrial internet according to the present invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an industrial internet-based monitoring device for an industrial device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the industrial internet-based industrial equipment monitoring apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Those skilled in the art will appreciate that the configuration shown in fig. 1 does not constitute a limitation of industrial internet-based industrial equipment monitoring devices, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is one medium, may include therein an operating system, a network communication module, a user interface module, and an industrial internet-based industrial device monitoring program.
In the industrial internet-based industrial equipment monitoring device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the industrial internet-based industrial device monitoring apparatus according to the present invention may be disposed in the industrial internet-based industrial device monitoring apparatus, and the industrial internet-based industrial device monitoring apparatus calls the industrial internet-based industrial device monitoring program stored in the memory 1005 through the processor 1001 and executes the industrial internet-based industrial device monitoring method according to the embodiment of the present invention.
An embodiment of the present invention provides an industrial device monitoring method based on an industrial internet, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the industrial device monitoring method based on the industrial internet according to the present invention.
In this embodiment, the industrial equipment monitoring method based on the industrial internet includes the following steps:
step S10: and acquiring information of the order being processed by each pipeline based on the industrial Internet.
It should be noted that, the execution main body of this embodiment is a server, and mainly stores and processes information and data uploaded by each industrial device through an industrial internet, and the server of the execution main body may be a cloud server, an entity server, or another device capable of implementing this function, which is not limited in this embodiment.
It should be understood that the monitoring of industrial equipment in industry today depends mainly on whether video monitoring is abnormal or not, or on the viewing and maintenance of a specially-assigned person for each equipment, but this does not allow monitoring of the progress of the entire customer order or the project of the pipeline. According to the scheme of the embodiment, the order information being processed by each assembly line is obtained based on the industrial internet, then the progress abnormal order is determined based on the order information, the abnormal grouping of the equipment corresponding to the progress abnormal order is determined, and finally the equipment operation data of the key monitoring equipment of the abnormal grouping is analyzed, so that the abnormal equipment in the key monitoring equipment is determined. The method and the device realize monitoring of the working state of each industrial device and the working progress of the order based on the industrial internet, so that the working progress and whether the working progress of each industrial device is abnormal or not can be integrally controlled and analyzed.
In specific implementation, the industrial internet refers to an internet transmitted by a wireless network established between the industrial equipment and the server, and can implement intercommunication of production data and other information.
It should be noted that the assembly line refers to an industrial assembly line within the monitoring range of the present embodiment, and may be an assembly line that performs any production task, and the present embodiment does not limit this to the specific production task of the assembly line. The number of pipelines is not limited in this embodiment, and may be any number.
It should be understood that order information refers to information about customer orders corresponding to the production tasks being performed by the pipeline, including but not limited to: order number, order production record, order plan information and other related information.
Step S20: and determining the progress abnormal order according to the order information.
In a specific implementation, when the progress of the current pipeline operation and the output result does not meet the condition of the progress to be completed of the order plan, the order is determined to be the progress abnormal order.
Step S30: and determining abnormal grouping from the ordering equipment grouping according to the progress abnormal order.
It should be noted that, after the schedule abnormal order is determined, the group of the industrial devices on the pipeline which undertakes the production task of the schedule abnormal order is determined as the abnormal group in all the order device groups.
Further, in order to accurately divide each industrial device, before step S30, the method further includes: acquiring equipment production information uploaded by industrial equipment from the industrial Internet; determining the order number of each order according to the order information; determining the order numbers of the industrial equipment which are processing according to the equipment production information; determining the corresponding relation between each industrial device and each order according to the order number and the order number being processed; and grouping the industrial equipment according to the corresponding relation to obtain a plurality of order equipment groups comprising a plurality of industrial equipment.
It should be understood that the industrial equipment refers to production equipment on a production line, and may include any type and any model of equipment applied to industry, which is not limited by the embodiment.
In specific implementation, in the process of production of the industrial equipment, relevant information of a production task in progress can be uploaded through the industrial internet, so that equipment production information corresponding to each industrial equipment can be obtained.
The order number is a unique number corresponding to each order, which is automatically generated when a customer signs an order for convenience of management.
It should be understood that determining the corresponding relationship between each industrial device and each order according to the order number and the order number being processed means: the order numbers of the orders processed by the industrial equipment correspond to the order numbers of the orders, so that the corresponding relation between the industrial equipment and the orders can be obtained, then classification is carried out based on the corresponding relation, and the industrial equipment for processing the same order can be divided into the same group.
By the method, the industrial equipment is grouped according to the processed orders in advance, so that the abnormal grouping can be directly classified, and the method is simpler and more convenient.
Step S40: and calling equipment operation data of each key monitoring equipment in the abnormal group.
In a specific implementation, the device runtime is working data uploaded by each key monitoring device through the industrial internet, including but not limited to power-on data of each key monitoring device, device output information, and the like.
It should be noted that the important monitoring device refers to each industrial device in the abnormal group, that is, after one order device group is identified as the abnormal group, all the industrial devices in the abnormal group are taken as the important monitoring device.
Step S50: and determining abnormal equipment from each key monitoring equipment according to the equipment operation data.
It should be understood that after the device operation data is acquired, store data and device output information of each key monitoring device are determined from the device operation data, and finally, abnormal devices with abnormal working states are determined by combining the device connection information.
Further, in order to accurately determine the abnormal device, step S50 includes: acquiring equipment connection information of each key monitoring equipment corresponding to the abnormal group; determining the upstream and downstream relation of each key monitoring device according to the device connection information; determining the order production flow sequence of each order according to the upstream and downstream relation; determining equipment power-on data and equipment output information of each key monitoring equipment according to the equipment operation data; and determining abnormal equipment according to the order production flow sequence, the equipment power-on data and the equipment output information.
It should be noted that the device connection information refers to the position connection relationship of each important monitoring device in the exception packet on the pipeline. And then determining the upstream and downstream relation of each key monitoring device based on the device connection information. The upstream and downstream relationship refers to the sequence of the production line of each key monitoring device in the production relationship of the production line, that is, the corresponding relationship between the device of the previous link and the device of the next link of each key monitoring device.
It should be understood that determining the order production flow order for each order according to the upstream and downstream relationship refers to: and determining the production sequence of the production process of the product of each order on the production line according to the upstream and downstream relation, namely the sequence of each important monitoring device on the manufacturing process or the processing process of the product on the production line.
In a specific implementation, the device power-on data refers to information related to power access of each key monitoring device. The device output information refers to the total amount of processing output in the processing flow of a single device.
It should be noted that determining abnormal devices according to the order production flow sequence, the device power-on data, and the device output information means: and judging whether key monitoring equipment with insufficient power supply exists according to the power-on data of the equipment, determining a yield change trend according to the output information of the equipment when all the key monitoring equipment determines that the power supply is normal, and determining abnormal equipment based on the yield change trend.
By the method, the abnormal equipment can be accurately determined from all key monitoring equipment based on the equipment power-on data and the equipment output information.
Further, in order to accurately determine the abnormal device, the step of determining the abnormal device according to the order production flow sequence, the device power-on data and the device output information includes: judging whether the key monitoring equipment with insufficient power supply exists according to the equipment power-on data; when the key monitoring equipment with insufficient power supply does not exist, determining the output change trend of each key monitoring equipment according to the equipment output information; determining a yield variation curve of each key monitoring device along with the time variation according to the yield variation trend; determining yield abnormal equipment according to the yield change curve; and sequencing the abnormal yield equipment according to the order production flow sequence to determine the abnormal yield equipment.
It should be understood that the determination of whether there is the key monitoring device with insufficient power supply according to the device power-on data refers to: and determining the electrifying voltage and the electrifying current of each key monitoring device according to the equipment electrifying data, and then comparing the electrifying voltage and the electrifying current of each key monitoring device with the rated voltage and the rated current so as to determine whether the key monitoring device with insufficient power supply exists. Specifically, the key monitoring device whose power supply voltage does not meet the limited range of the rated voltage or whose power supply current does not meet the limited range of the rated current is used as the key monitoring device with insufficient power supply, and at this time, the key monitoring device with insufficient power supply is used as the abnormal device.
In an implementation, the yield trend refers to the trend of the output of each key monitoring device in a continuous unit cycle.
It should be noted that, determining the yield variation curve of each key monitoring device over time according to the yield variation trend refers to: a curve of the output of each key monitoring device changing with time is drawn according to the output change trend, as shown in fig. 3, the curve is a schematic diagram of the output change curve, the x axis is a time period, the y axis is the output, the curve is the output change curve, and the time period can be a time period of any length set by a user, and can be one hour, three hours or half a day.
It should be understood that determining a yield anomaly device from the yield variation curve refers to: and calculating the yield difference between the nodes in each two time periods so as to calculate the difference percentage of the ring ratios, then calculating the fall value between each two ring ratios, and judging that the key monitoring equipment is yield abnormal equipment when the fall value exceeds a preset threshold value.
In a specific implementation, the fall-off value is specifically calculated by:
wherein,
refers to the falling difference value, aIs the throughput for the current time period, b is the throughput for the previous time period, and c is the throughput for the previous 2 time periods.
It should be noted that the preset threshold is a preset value range of the fall value, and when the fall value exceeds the preset threshold, it is determined that the key monitoring device corresponding to the fall value is an abnormal yield device.
It should be understood that sorting the abnormal production equipment according to the order production flow order to determine the abnormal production equipment refers to: after a plurality of abnormal yield devices are determined, the abnormal yield devices are sorted according to the order production sequence, and the top of the sorted result is used as the abnormal device. Because the production output of other subsequent equipment can be influenced if the equipment in the front order is abnormal on the same assembly line, the abnormal production equipment in the front order production order is taken as abnormal equipment.
By the method, the abnormal equipment can be accurately determined, so that the production condition of each order can be monitored, and the production state of the industrial equipment can be accurately judged.
The method comprises the steps of obtaining order information being processed by each pipeline based on the industrial Internet; determining a progress abnormal order according to the order information; determining an abnormal group from the order equipment group according to the progress abnormal order; calling equipment operation data of each key monitoring equipment in the abnormal group; and determining abnormal equipment from each key monitoring equipment according to the equipment operation data. By the method, the order information which is processed by each assembly line is obtained based on the industrial internet, then the progress abnormal order is determined based on the order information, the abnormal grouping of the equipment corresponding to the progress abnormal order is determined, and finally the equipment running data of the key monitoring equipment in the abnormal grouping is analyzed, so that the abnormal equipment in the key monitoring equipment is determined. The method and the device realize monitoring of the working state of each industrial device and the working progress of the order based on the industrial internet, so that the working progress and whether the working progress of each industrial device is abnormal or not can be integrally controlled and analyzed.
Referring to fig. 4, fig. 4 is a flowchart illustrating a second embodiment of an industrial device monitoring method based on the industrial internet according to the present invention.
Based on the first embodiment, the industrial device monitoring method based on the industrial internet in this embodiment includes, in the step S20:
step S201: and determining the production record of each order according to the order information.
It should be noted that the production record refers to the production volume of each order, the progress of each time point, and other relevant information.
Step S202: and determining the order progress information of each order according to the production record.
It should be understood that the order progress information refers to information about the processing and production progress of each order.
Step S203: and acquiring project planning information of each order.
In a specific implementation, the project planning information refers to the progress, the production and processing quantity and other related information of each order planning time point.
Step S204: and determining order plan information of each order on the production progress according to the project plan information.
It should be noted that, the determining the order plan information of each order on the production schedule according to the project plan information means: and determining plan information of each order set by the user when establishing the project according to the project planning information, wherein the plan information comprises but is not limited to daily processing and production time, daily planned output and the like.
Step S205: and determining an order with abnormal progress according to the order progress information and the order plan information.
It should be understood that determining a progress exception order based on the order progress information and the order plan information refers to: and according to the comparison between the related information of the current production of the order, namely the order progress information, and the plan of the order when the order is built, namely the order plan information, determining the order with abnormal progress in all the orders, namely the order with abnormal progress.
Further, in order to accurately calculate the order with abnormal progress, the step of determining the order with abnormal progress according to the order progress information and the order plan information comprises the following steps: determining daily average output of each order according to the order progress information; determining daily planned output quantity of each order according to the order planning information; and determining a progress abnormal order from the orders according to the daily average output quantity and the daily planned output quantity.
In one embodiment, the daily average throughput refers to the average throughput per day of the current production process for each order, as extracted from the order progress information.
The daily planned output amount refers to an output amount that should be achieved every day in production for a target specified by each order at the time of planning, extracted from the order planning information.
It should be understood that determining a schedule exception order from the orders based on the daily average output and the daily projected output refers to: and (4) calculating and comparing according to the difference value between the daily average output and the daily planned output and the residual schedule days, and screening out orders with abnormal progress from all orders.
By the method, the progress abnormal order is accurately calculated based on the daily average output and the daily planned output, so that the locking and determining of the progress abnormal order are more accurate and timely.
Further, in order to perform accurate calculation to determine the progress abnormal order, the step of determining the progress abnormal order from the orders according to the daily average output and the daily planned output comprises the following steps: determining the output deviation of each order according to the daily average output and the daily planned output; determining the number of remaining schedule days according to the order progress information; determining the total plan deviation of each order according to the remaining schedule days and the output deviation; comparing the planned total deviation of each order with a deviation maximum threshold value, and taking the order of which the planned total deviation is greater than the deviation maximum threshold value as a progress abnormal order.
In particular implementations, the yield bias refers to the difference between the daily average yield and the daily projected yield.
It should be noted that, determining the remaining schedule days according to the order progress information means: and determining the remaining days for which the current order is required to be delivered according to the order progress information.
It should be understood that the calculation formula for the total deviation of the plan is:
wherein,
for total plan variation, q2 is daily plan output, q1 is daily average output, and t is the number of days remaining on schedule.
In specific implementation, the planned total deviation is compared with a deviation maximum threshold value to obtain a deviation comparison parameter, and a calculation formula of the deviation comparison parameter is as follows:
n is a maximum deviation threshold, and the size of N is preset by a user and may be any value, which is not limited in this embodiment.
When N is greater than or equal to 0, it will be
And the corresponding order is taken as a progress abnormal order.
By the method, the deviation comparison parameters are accurately calculated based on the output deviation, the number of remaining schedule days and the maximum deviation threshold, so that the progress abnormal order is accurately determined.
The embodiment determines the production record of each order according to the order information; determining order progress information of each order according to the production record; acquiring project planning information of each order; determining order plan information of each order on the production progress according to the project plan information; and determining a progress abnormal order according to the order progress information and the order plan information. By the method, the production state of each order is monitored in real time, so that the corresponding industrial equipment can be accurately monitored in production by taking the order as a unit, and the abnormity of the production state can be timely found.
In addition, an embodiment of the present invention further provides a medium, where an industrial device monitoring program based on an industrial internet is stored on the medium, and when the industrial device monitoring program based on the industrial internet is executed by a processor, the steps of the industrial device monitoring method based on the industrial internet as described above are implemented.
Since the medium adopts all technical solutions of all the embodiments, at least all the beneficial effects brought by the technical solutions of the embodiments are achieved, and are not described in detail herein.
Referring to fig. 5, fig. 5 is a block diagram illustrating a first embodiment of an industrial equipment monitoring apparatus based on the industrial internet according to the present invention.
As shown in fig. 5, an industrial device monitoring apparatus based on an industrial internet according to an embodiment of the present invention includes:
and the information acquisition module 10 is used for acquiring the order information being processed by each pipeline based on the industrial internet.
And the order checking module 20 is configured to determine an order with an abnormal progress according to the order information.
And the abnormal locking module 30 is used for determining an abnormal group from the order equipment group according to the progress abnormal order.
And the data calling module 40 is used for calling the equipment operation data of each important monitoring equipment in the abnormal group.
And the equipment determining module 50 is configured to determine abnormal equipment from each key monitoring equipment according to the equipment operation data.
The method comprises the steps of obtaining order information being processed by each pipeline based on the industrial Internet; determining an order with abnormal progress according to the order information; determining an abnormal group from the order equipment group according to the progress abnormal order; calling equipment operation data of each key monitoring equipment in the abnormal group; and determining abnormal equipment from each key monitoring equipment according to the equipment operation data. By the method, the order information which is being processed by each assembly line is obtained based on the industrial internet, then the progress abnormal order is determined based on the order information, the abnormal grouping of the equipment corresponding to the progress abnormal order is determined, and finally the equipment operation data of the key monitoring equipment of the abnormal grouping is analyzed, so that the abnormal equipment in the key monitoring equipment is determined. The method and the device realize monitoring of the working state of each industrial device and the working progress of the order based on the industrial internet, so that the working progress and whether the working progress of each industrial device is abnormal or not can be integrally controlled and analyzed.
In an embodiment, the exception locking module 30 is further configured to obtain device production information uploaded by an industrial device from the industrial internet; determining the order number of each order according to the order information; determining the order numbers of the industrial equipment which are processing according to the equipment production information; determining the corresponding relation between each industrial device and each order according to the order number and the order number being processed; and grouping the industrial equipment according to the corresponding relation to obtain a plurality of order equipment groups comprising a plurality of industrial equipment.
In an embodiment, the order checking module 20 is further configured to determine a production record of each order according to the order information; determining order progress information of each order according to the production record; acquiring project planning information of each order; determining order plan information of each order on the production progress according to the project plan information; and determining a progress abnormal order according to the order progress information and the order plan information.
In an embodiment, the order checking module 20 is further configured to determine a daily average output volume of each order according to the order progress information; determining daily planned output quantity of each order according to the order planning information; and determining a progress abnormal order from the orders according to the daily average output quantity and the daily planned output quantity.
In one embodiment, the order checking module 20 is further configured to determine a yield deviation of each order according to the daily average yield and the daily planned yield; determining the number of remaining schedule days according to the order progress information; determining the planned total deviation of each order according to the remaining schedule days and the output deviation; comparing the planned total deviation of each order with a deviation maximum threshold value, and taking the order of which the planned total deviation is greater than the deviation maximum threshold value as a progress abnormal order.
In an embodiment, the device determining module 50 is further configured to obtain device connection information of each of the key monitoring devices corresponding to the abnormal group; determining the upstream and downstream relation of each key monitoring device according to the device connection information; determining the order production flow sequence of each order according to the upstream and downstream relation; determining equipment power-on data and equipment output information of each key monitoring equipment according to the equipment operation data; and determining abnormal equipment according to the order production flow sequence, the equipment power-on data and the equipment output information.
In an embodiment, the device determining module 50 is further configured to determine whether the key monitoring device with insufficient power supply exists according to the device power-on data; when the key monitoring equipment with insufficient power supply does not exist, determining the output change trend of each key monitoring equipment according to the equipment output information; determining a yield variation curve of each key monitoring device along with the time variation according to the yield variation trend; determining yield abnormal equipment according to the yield change curve; and sequencing the abnormal yield equipment according to the order production flow sequence to determine the abnormal yield equipment.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the industrial device monitoring method based on the industrial internet according to any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An industrial equipment monitoring method based on industrial internet is characterized by comprising the following steps:
acquiring information of orders being processed by each assembly line based on the industrial internet;
determining a progress abnormal order according to the order information;
determining an abnormal group from the order equipment group according to the progress abnormal order;
calling equipment operation data of each key monitoring equipment in the abnormal group;
and determining abnormal equipment from each key monitoring equipment according to the equipment operation data.
2. The method of claim 1, wherein prior to determining an exception group from the ordered equipment group based on the progress exception order, further comprising:
acquiring equipment production information uploaded by industrial equipment from the industrial Internet;
determining the order number of each order according to the order information;
determining the order numbers of the industrial equipment which are processing according to the equipment production information;
determining the corresponding relation between each industrial device and each order according to the order number and the order number being processed;
and grouping the industrial equipment according to the corresponding relation to obtain a plurality of order equipment groups comprising a plurality of industrial equipment.
3. The method of claim 1, wherein said determining a schedule exception order based on said order information comprises:
determining the production record of each order according to the order information;
determining order progress information of each order according to the production record;
acquiring project planning information of each order;
determining order plan information of each order on the production progress according to the project plan information;
and determining a progress abnormal order according to the order progress information and the order plan information.
4. The method of claim 3, wherein said determining a schedule exception order based on said order progress information and said order plan information comprises:
determining the daily average output of each order according to the order progress information;
determining daily planned output quantity of each order according to the order planning information;
and determining a progress abnormal order from the orders according to the daily average output quantity and the daily planned output quantity.
5. The method of claim 4, wherein determining a schedule exception order from the orders based on the daily average output volume and the daily projected output volume comprises:
determining the output deviation of each order according to the daily average output and the daily planned output;
determining the number of remaining schedule days according to the order progress information;
determining the total plan deviation of each order according to the remaining schedule days and the output deviation;
comparing the planned total deviation of each order with a deviation maximum threshold value, and taking the order of which the planned total deviation is greater than the deviation maximum threshold value as a progress abnormal order.
6. The method of claim 1, wherein said determining abnormal equipment from the key monitoring devices based on the equipment operational data comprises:
acquiring equipment connection information of each key monitoring equipment corresponding to the abnormal group;
determining the upstream and downstream relation of each key monitoring device according to the device connection information;
determining the order production flow sequence of each order according to the upstream and downstream relation;
determining equipment power-on data and equipment output information of each key monitoring equipment according to the equipment operation data;
and determining abnormal equipment according to the order production flow sequence, the equipment power-on data and the equipment output information.
7. The method of claim 6, wherein said determining abnormal devices based on the order production flow sequence, the device power-on data, and the device output information comprises:
judging whether the key monitoring equipment with insufficient power supply exists according to the equipment power-on data;
when the key monitoring equipment with insufficient power supply does not exist, determining the output change trend of each key monitoring equipment according to the equipment output information;
determining a yield variation curve of each key monitoring device along with the time variation according to the yield variation trend;
determining yield abnormal equipment according to the yield change curve;
and sequencing the abnormal yield equipment according to the order production flow sequence to determine abnormal yield equipment.
8. An industrial device monitoring apparatus based on industrial internet, comprising:
the information acquisition module is used for acquiring the order information being processed by each assembly line based on the industrial Internet;
the order checking module is used for determining a progress abnormal order according to the order information;
the abnormal locking module is used for determining an abnormal group from the order equipment group according to the progress abnormal order;
the data calling module is used for calling equipment operation data of each key monitoring equipment in the abnormal group;
and the equipment determining module is used for determining abnormal equipment from each key monitoring equipment according to the equipment operation data.
9. An industrial internet-based industrial equipment monitoring device, the device comprising: a memory, a processor, and an industrial internet-based industrial equipment monitoring program stored on the memory and executable on the processor, the industrial internet-based industrial equipment monitoring program configured to implement the industrial internet-based industrial equipment monitoring method of any one of claims 1 to 7.
10. A medium on which an industrial internet-based industrial device monitoring program is stored, the industrial internet-based industrial device monitoring program implementing the industrial internet-based industrial device monitoring method of any one of claims 1 to 7 when being executed by a processor.
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Application publication date: 20220830 |