CN115568287A - Equipment group construction method and device - Google Patents

Equipment group construction method and device Download PDF

Info

Publication number
CN115568287A
CN115568287A CN201980099535.XA CN201980099535A CN115568287A CN 115568287 A CN115568287 A CN 115568287A CN 201980099535 A CN201980099535 A CN 201980099535A CN 115568287 A CN115568287 A CN 115568287A
Authority
CN
China
Prior art keywords
candidate
devices
request
group
candidate device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201980099535.XA
Other languages
Chinese (zh)
Inventor
王冬
郁彦彬
李明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens Ltd China
Original Assignee
Siemens Ltd China
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Ltd China filed Critical Siemens Ltd China
Publication of CN115568287A publication Critical patent/CN115568287A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication

Abstract

The application discloses a device group construction method and device. The method comprises the following steps: acquiring a construction request of a device group, and determining a hierarchy request set based on the construction request, wherein the hierarchy request set comprises a first hierarchy request and a second hierarchy request; determining a candidate device set in the device set based on the second tier request; determining a set of candidate device groups based on the set of candidate devices in a specified order; and determining at least one recommended device group in the candidate device group set based on the first hierarchical request. By adopting the technical scheme, the data can be mapped and mapped query is carried out, so that the query speed can be increased, and the consistency of the data can be ensured.

Description

Equipment group construction method and device Technical Field
The present disclosure relates to process control, and more particularly, to a method and apparatus for constructing a device group for a process control system.
Background
For manufacturing enterprises having heavy equipment, effective lifecycle management of heavy equipment directly impacts growth and profitability of the manufacturing enterprises. Lifecycle management of equipment aims to determine a sequence of operations, which may be operations, maintenance, etc., to achieve a desired state at minimal cost through engineering and economic analysis.
When a manufacturing enterprise needs to produce a new product, in some industries, such as the electronics assembly industry, the production equipment is often not standard equipment and is located in different workshops, so that the manufacturing enterprise often needs to purchase new equipment for producing the new product.
Disclosure of Invention
Aiming at the problem that production equipment is easy to idle, the application provides a method and a device capable of constructing a production line according to the characteristics of the equipment.
One aspect of the present application provides a method for constructing a device group of a structural component, including: acquiring a construction request of a device group, and determining a hierarchy request set based on the construction request, wherein the hierarchy request set comprises a first hierarchy request and a second hierarchy request; determining a set of candidate devices in a set of devices based on the second tier request and determining a set of candidate device groups based on the set of candidate devices in a specified order; and determining at least one recommended device group in the candidate device group set based on the first hierarchical request. By the construction method, the construction of the equipment group can be quickly realized, so that the equipment is prevented from being idle, and the cost of an enterprise is reduced.
In one embodiment, the first hierarchical request is associated with a characteristic parameter of the group of devices and the second hierarchical request is associated with a characteristic parameter of the devices. This embodiment defines in particular the relation between the first and second level requests.
In one embodiment, the determining the candidate device set in the device set further comprises: performing a graph-based query in a graph library based on the second tier request; determining the candidate set of devices in the set of devices based on results of the graph-based query, wherein the gallery of graphs includes graphs of at least some of the devices in the set of devices, and at least some of the galleries are constructed based on information associated with feature parameters of the devices. This embodiment describes how a gallery is built and how candidate devices can be queried quickly without affecting data consistency.
In one embodiment, the information associated with the characteristic parameters of the device is determined based on received device management information and/or device design information. This embodiment states that the information used to construct the maps may come from a physical system separate from the current build system, such as an equipment management system or a library of equipment design information.
In one embodiment, devices in the candidate device set are selectively linked to determine the candidate device group based on the specified order, wherein the specified order includes at least one of: a production order of the product, a reverse order of the production order of the product, a production order of a part of the product, and a reverse order of the production order of a part of the product. This embodiment defines which order the candidate device group can be constructed from.
In one embodiment, at least one candidate device subgroup is determined in the candidate device set based on the second hierarchical request, wherein the number of devices in the candidate device subgroup is smaller than the number of devices in the candidate device group, the candidate device group set is determined based on the candidate device set and/or the at least one candidate device subgroup, wherein the second hierarchical request is further associated with a characteristic parameter of the candidate device subgroup. This embodiment also proposes that the second level request may also correspond to a secondary group of candidate devices, which may be regarded as a secondary group for some fixed combinations that are known, so that the production line can be built more quickly.
In one embodiment, the method further comprises: at least a portion of the candidate device groups in the set of candidate device groups are evaluated to determine the at least one recommended device group, and an evaluation order of subsequent candidate device groups is adjusted based on evaluation results of one or more of the candidate device groups. By the implementation method, the optimal solution can be rapidly obtained, and the recommendation device group can be further determined.
This application further proposes in another aspect a device for constructing a device group, which includes: an interface module configured to obtain a build request for a group of devices and determine a set of hierarchical requests based on the build request, wherein the set of hierarchical requests includes a first hierarchical request and a second hierarchical request; a matching module configured to determine a candidate set of devices in a set of devices based on the second tier request; and a group processing module configured to determine, in a specified order, a set of candidate device groups based on the set of candidate devices, and determine, in the set of candidate device groups, at least one recommended device group based on the first tier request.
The present application also proposes, in another aspect, a computer storage medium having stored thereon computer-executable instructions that, when executed, perform the aforementioned method.
In another aspect, the present application further provides a computer device, which includes a memory and a processor, wherein the memory stores computer-executable instructions, and when the executable instructions are executed, the processor executes the aforementioned method.
The present application also proposes, in another aspect, a computer program product, tangibly stored on a computer-readable medium and comprising computer-executable instructions that, when executed, cause at least one processor to perform the aforementioned method.
By adopting the technical scheme of the application, the construction device is independent of the existing equipment management system/tool, so that data write back does not exist. In addition, the data is mapped and the map-type query is carried out, so that the query speed can be increased, and the consistency of the data can be ensured.
Drawings
Embodiments are shown and described with reference to the drawings. These drawings are provided to illustrate the basic principles and thus only show the aspects necessary for understanding the basic principles. The figures are not to scale. In the drawings, like reference numerals designate similar features.
FIG. 1 is a flow chart of a method of device group construction according to an embodiment of the present application;
FIG. 2a is a schematic diagram of an equipment set construction system according to an embodiment of the present application;
FIG. 2B is a schematic diagram of an apparatus according to an embodiment of the present application;
FIG. 2C is a diagram illustrating an apparatus query according to an embodiment of the present application;
FIG. 3 is a schematic diagram of matching according to an embodiment of the present application;
fig. 4 is an architecture diagram of an apparatus for constructing a device group according to an embodiment of the present application.
Detailed Description
In the following detailed description of the preferred embodiments, reference is made to the accompanying drawings, which form a part hereof. The accompanying drawings illustrate, by way of example, specific embodiments in which the present application can be practiced. The illustrated embodiments are not intended to be exhaustive of all embodiments according to the application. It is to be understood that other embodiments may be utilized and structural or logical changes may be made without departing from the scope of the present application. The following detailed description, therefore, is not to be taken in a limiting sense, and the scope of the present application is defined by the appended claims.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
First, terms to which the present application relates will be explained. "equipment group" refers to a combination of equipment that can perform a process of manufacturing a product (e.g., a production line) or perform a function (e.g., a large combined machine). The number of devices in the "device secondary group" is less than the number of devices in the "device group". "atlas query" refers to a query based on an equipment atlas in a database (e.g., an atlas database), which also means that the database includes multiple equipment atlases.
The inventor finds that idle equipment often exists in an enterprise, and a considerable part of the idle equipment can still work normally. However, due to the product replacement or incomplete information grasped by the administrator, these devices are likely to be unable to be used continuously, thereby increasing the operation cost of the enterprise and wasting resources. In addition, idle devices often include standard devices and non-standard devices. There are also difficulties in combining these devices into one production line by means of the prior art. Therefore, the idle equipment is reused, so that economic benefits of enterprises are improved, and resources are saved more conveniently.
In view of the above problems, the present application provides a method and system for device reuse and performance evaluation that can achieve fast production line design. The data and information of the devices are modeled and linked, so that matching between the devices is realized. Simulation software (e.g., tecnomatix factory simulation software from Siemens) may be used to verify and evaluate a given device, which may be more accurate than merely comparing performance differences between devices. By setting flexible simulation templates, the data gap between actual matching and simulation can be reduced.
Fig. 1 is a flow chart of a device group construction method according to an embodiment of the present application.
Step S101: a request to build a device group is obtained.
In this step, a build request for the device group is obtained, and based on the build request, a hierarchical request set is obtained, where the hierarchical request set includes a first hierarchical request and a second hierarchical request, and the first hierarchical request can characterize requirements of the device group level, corresponding to characteristic parameters (such as cost, energy consumption, etc.) of the device group; the second level request may characterize the process requirements of individual devices in the cluster of devices, corresponding to characteristic parameters of the individual devices (e.g., process type, process accuracy, etc.). It will be appreciated that in different embodiments, the characteristic parameters of each hierarchy may be self-defined by the user depending on the particular application.
In other embodiments, the second tier request may further characterize requirements at a device subgroup level, associated with a characteristic parameter of a device subgroup, the device subgroup including at least two devices, and the number of devices in the device subgroup being less than the number of devices in the device group. It will be appreciated that the build request may be abstracted into at least one hierarchy level according to the needs of the user, the number of devices, and other applicable criteria. It will be appreciated that the secondary set of devices may be a predefined combination of devices.
It will be appreciated that the cluster tool, sub-cluster tool and tool may be used to machine a product, such as by manufacturing, disassembling, cutting, etc.
Step S102: based on the build request, a set of candidate devices corresponding to the second tier request is determined.
In this step, a candidate device set corresponding to the second-tier request may be selected from the device pool according to the characteristic parameter corresponding to the second-tier request, where the candidate device set includes a plurality of candidate devices. For example, based on the second level request, a set of candidate devices having a corresponding process type or process precision may be selected.
In the embodiment with the device subgroup, at least one candidate device subgroup may be further selected from the candidate device set according to the device subgroup characteristic parameter corresponding to the second tier request. It will be appreciated that the secondary set of candidate devices may be a predetermined set of devices.
Step S103: based on the determined candidate devices, a set of candidate device groups is generated.
In this step, a partial candidate device may be selected from the determined candidate devices according to a specified order to generate a candidate device group set.
Taking the process sequence as an example of the specified sequence, the first process corresponds to the candidate apparatus A1-A2, the second process corresponds to the apparatus B1, B2, and the nth process corresponds to N1, N2. Thus, based on the process sequence, 2 can be generated N A set of candidate devices.
It will be appreciated that the order of the above designations may be adjusted according to the needs of the user. Such as the order of production of the product, the reverse order of production of the product, the order of production of a part of the product, and the reverse order of production of a part of the product. The reverse order of the production order of the products is the order opposite to the production order of the products; the production sequence of a part of the product refers to the production sequence of a part of the elements or a part of the structure in the product; the reverse order of the production sequence of a part of a product refers to the reverse order of the production sequence of a part of an element or a part of a structure in the product.
In one embodiment, when a plant is constructed in reverse order of the production order of the product, the plant may be used to disassemble the product. Other sequences may also be used depending on the processing sequence of the product (e.g., manufacturing, disassembling, cutting, etc.), and are not described in detail herein.
Step S104: based on the first hierarchical request, a set of candidate device groups is evaluated to determine at least one recommended device group.
In this step, one or more recommended device groups may be determined by determining the characteristic parameter of each candidate device group. For example, each candidate device group may be encoded using a predetermined data format, and then an evaluation may be performed by designated software for each candidate device group according to the first-level request, and a recommended device group may be determined according to the evaluation result. It will be appreciated that there may be multiple groups of recommendation devices with the same evaluation result, and thus, this step may also determine multiple groups of recommendation devices.
In one embodiment, the 2 generated for the previous step may be individually selected N The candidate device groups are evaluated to determine one or more recommended device groups.
In another embodiment, the 2 may be used N The candidate device groups are ordered by M specified rules to generate M evaluation groups, each evaluation group containing 2 N A group of devices. It is understood that the rules may be associated with the second level request described above. Then, at least a part of the evaluation groups are simultaneously evaluated, and the evaluation results are used as the basisThe evaluation order of the equipment groups is adjusted to determine the recommended equipment group meeting the requirement (such as the highest precision).
By performing steps S101-S104, the user may obtain one or more recommended device groups, and then determine the device group to be finally used based on the recommended device groups. As can be seen from the above, the recommended device group is generated based on the characteristic parameters of the devices (and/or the device sub-group) and the device group characteristic parameters, and can objectively reflect the actual performance of the device group.
Fig. 2a is a schematic diagram of an apparatus group construction system according to an embodiment of the present application.
As shown, the device group construction system 100 includes an interface module 101, a map module 102, a matching module 103, a group processing module 104, and a simulation control module 105. These modules are described one by one below.
The interface module 101 provides an application programming interface between the device configuration system 100 and a user or other system, and may be used to transfer received data and to preprocess the received data, such as converting data formats, extracting configuration requests in a hierarchy. For example, after the interface module 101 receives the request RQ, it extracts the request RQ as the first and second level requests. The atlas module 102 takes data from different data sources from the interface module 101 and links the data based on specified rules to generate a retrievable atlas (e.g., an equipment atlas). The matching module 103 sends a retrieval request to the graph module 102 based on the extracted construction request (e.g., the second-level request) to execute a graph-based query in the graph library, and receives a retrieval result returned by the graph module 102, wherein the retrieval result includes a candidate device set corresponding to the second-level request.
After the matching module 103 obtains the candidate device sets, the candidate devices are provided to the group processing module 104. Based on a specified order (e.g., a process order), the group processing module 104 selectively associates at least a portion of the candidate devices to generate a set of candidate device groups, wherein the set of candidate device groups includes at least one candidate device group. The simulation control module 105 is used to convert and prepare data on the candidate device group, and send the candidate device group selected by the group processing module 104 to the simulator 300 for evaluation. After the simulator 300 generates the evaluation result, the evaluation result is provided to the group processing module 104 to adjust the subsequent evaluation order, and at least one recommended device group is determined, and the determined recommended device group DG is transmitted through the interface module 101.
The workflow of the device group construction system 100 is described below in conjunction with fig. 2A.
As shown, the interface module 101 in the device group construction system 100 is communicatively coupled to a data source 200 to obtain information associated with the device. Specifically, the data source 200 may include: a device management system 210 and a device design information base 220, wherein the device management system 210 can provide the interface module 101 with device management information related to the name, status, service life, functional parameters, etc. of the device, and the device design information base 220 can provide the interface module 101 with the name, design information, graphics, and related design information of the device group. It will be appreciated that in other embodiments, the device management system 210, the device design information repository 220, and the interface module 101 may also provide other device-associated information, and the data source 200 may also include other devices to provide device-associated information.
After the interface module 101 obtains information associated with the device, the information will be pre-processed for processing by the atlas module 102. Upon obtaining information from the data sources, the graph module 102 will construct a graph of the devices based on the specified relationships. In this embodiment, the graph of devices is constructed based on relationships between data associated with the devices.
It will be appreciated that the gallery may include atleast a portion of the maps of the devices in the set, and that atleast a portion of the maps in the gallery are constructed based on sets of information associated with the devices, wherein the plurality of sets of information are determined based on the received device management information and/or device design information. In other words, the maps in the map library may be generated by the map module 102 based on the received information, or may directly receive device maps provided by other data sources.
It should be understood that the functional modules are only used for illustrating the work flow of the construction system of the present application, and do not mechanically limit the function of each module. In other embodiments, the simulation control module 105 may also be integrated in the group processing module 104.
Fig. 2B is a diagram illustrating an apparatus according to an embodiment of the present application.
As shown, the map of the robot ARM01 is constructed by the following information associated with the characteristic parameters of the apparatus:
(1) The state information R reflects the state of the robot ARM01, for example, the state parameter R1 indicates whether the robot ARM01 is currently available, and the state parameters R2 and R3 respectively indicate the size (200 × 200) and the weight of the workpiece that can be processed by the robot ARM 01.
(2) The performance information S reflects the performance of the robot ARM01, and for example, the performance parameters S1, S2, S3, and S4 represent the accuracy, accuracy unit, speed, and speed unit of the robot ARM 01.
(3) The process type information K, which may indicate that the robot ARM01 functions as a screw in combination with the performance information S, and has the performance as indicated by the performance information S.
(3) Submodule information M, which reflects that the robot ARM01 includes submodules M1 and M2, and the two submodules have functions of servicing FX and supporting SP, respectively.
(4) Position information P reflecting the position of the robot ARM01, for example, in the No. 2 cell.
(5) The type information T, which reflects the type of the robot ARM01, may be, for example, the robot ARM01 as a processing unit.
As can be seen from the above map, the robot ARM01 is a processing unit located in the workshop No. 2, is currently in an unavailable state (R1 = 0), and has two modules M1 and M2, and the two modules are also located in the workshop No. 2. Module M1 is for maintenance and M2 is for support. The ARM01 can be tightened within 30 seconds with an accuracy of 0.2mm, and can process workpieces of 200x200x200 mm and 5 kg or less. Therefore, the ARM01 can be queried as long as any one condition is satisfied.
It will be appreciated that in addition to the 5 sets of information described above, in other embodiments the map may include other information associated with characteristic parameters of the equipment, such as price, time of purchase, number of repairs, etc.
Based on the graph, qualified devices can be queried in a graph module based on their characteristics (corresponding to the second-tier request), and fig. 2C is a schematic diagram of a device query according to an embodiment of the present application.
Please refer to fig. 2B and 2C. When a user inquires about "a robot ARM having the same function (F) as ARM01 and located in the same plant", for the conventional table inquiry, it is often necessary to perform a link operation to acquire data from different tables connected via an external key (key), which often results in lower inquiry performance. The inventors have also found that saving data in different tables to reduce the number of times the external key is used allows faster querying of the data, however, this can lead to data consistency being difficult to guarantee. In the application, by constructing the map based on the data associated with the equipment, the consistency of the data can be ensured, and the query speed is higher.
When the query is performed based on the map, by querying the "mechanical ARM having the same function as that of ARM01 and located in the same workshop", the performance information S01-S03 and the corresponding state information R01-R03 of three devices can be queried, and the mechanical ARM02 and ARM03 having the same function as that of ARM01 and located in the same workshop are determined.
In this embodiment, a plurality of devices are matched on the second level to obtain a device meeting the requirements of the second level. Fig. 3 is a schematic matching diagram according to an embodiment of the present application.
The following matching objectives are first given:
-C1: the apparatus is a processing unit;
-C2: the equipment can be screwed down within 30s, and the precision is less than 0.5mm;
-C3: the equipment uses A-type glue as indirect material;
-C4: the equipment can clamp 10kg of workpieces with the width of 250 mm;
-C5: the equipment is in or near workshop number 2;
-C61: the device has a stationary submodule;
-C62: the device has a support submodule.
As shown in fig. 3, the content in the box corresponds to the map information of the device, and the circle corresponds to the matching target of the device.
As can be more readily understood with reference to fig. 2 a. For the device to be matched, if the position information P of the device can satisfy the constraint on the distance, the device can be matched to the target C5. The type information T corresponding to the device state information R can be matched to the target C1 if it is a machining unit. Similarly, the matching targets C2 and C3 may determine whether the performance information of the device to be matched can meet the requirement. The matching targets C61, C62 may determine whether the submodule information M of the device to be matched satisfies the requirement.
It can be understood that, after acquiring a plurality of devices meeting the requirements of the second hierarchy, it can also be determined whether the devices are matched. Such as by a physical interface of the devices, a software interface, or other specified constraints, to determine whether there is a match between the devices. Through interface constraints, effective reduction of computational stress can be facilitated, and evaluation results can also serve as constraints. After the solver obtains the evaluation result, the candidate device group to be evaluated next may be calculated.
By executing the method, the user can be helped to fully utilize the original equipment, unnecessary investment is saved, the feasibility and the performance of constructing the equipment group with the specified target are evaluated, and the design speed of a new equipment group can be accelerated by utilizing the existing design.
Fig. 4 is an architecture diagram of an apparatus for constructing a device group according to an embodiment of the present application.
The apparatus 400 comprises:
a) An interface module 410 configured to obtain a build request for a group of devices and determine a set of hierarchical requests based on the build request, wherein the set of hierarchical requests includes a first hierarchical request and a second hierarchical request;
b) A matching module 420 configured to determine a candidate set of devices in the set of devices based on the second tier request;
c) A group processing module 430 configured to determine a set of candidate device groups based on the set of candidate devices in the specified order and determine at least one recommended device group in the set of candidate device groups based on the first hierarchical request.
Apparatus 400 may perform the device group construction method of fig. 1. For example, the interface module 410 receives the original build request and may obtain the first and second level requests. The matching module 420 receives the second-level request from the interface module 410 and determines a set of candidate devices in a database (e.g., a map library) that satisfies the second-level request, the set of candidate devices including a plurality of devices. The group processing module 430 generates a candidate device group set using the obtained candidate device sets in the specified order, and determines at least one recommended device group among the candidate device group set based on the first hierarchical request. It is to be understood that the set of candidate device groups includes at least one candidate device group.
The flow of the construction method in fig. 1 also represents computer readable instructions including a program executed by a processor. The program may be embodied in a tangible computer readable medium such as a CD-ROM, a floppy disk, a hard drive, a Digital Versatile Disk (DVD), a blu-ray disk, or other forms of memory. Alternatively, some or all of the steps in the example method of fig. 1 may be implemented using any combination of Application Specific Integrated Circuits (ASICs), programmable Logic Devices (PLDs), field programmable logic devices (EPLDs), discrete logic, hardware, firmware, etc. The information may be stored on the readable medium at any time. It will be appreciated that the computer readable instructions may also be stored on a cloud platform in a web server for ease of use by a user.
The present application further proposes a computer arrangement comprising a processor and a memory. The memory is for storing instructions that, when executed, cause the processor to perform the device group construction method of fig. 1. For example, the specification, when executed, causes the processor to: acquiring a construction request of a device group, and determining a hierarchy request set based on the construction request, wherein the hierarchy request set comprises a first hierarchy request and a second hierarchy request; determining a candidate device set in the device set based on the second tier request; determining a set of candidate device groups based on the set of candidate devices in a specified order; and determining at least one recommended device group in the candidate device group set based on the first hierarchical request.
The present application further proposes, in another aspect, a computer program product, tangibly stored on a computer-readable medium and comprising computer-executable instructions that, when executed, cause at least one processor to perform the device group construction method of fig. 1.
While the present application has been illustrated and described in detail in the drawings and foregoing description of the preferred embodiments, the present application is not limited to the disclosed embodiments, and other arrangements may be devised by those skilled in the art without departing from the spirit and scope of the present application.

Claims (17)

  1. A method of device group construction, comprising:
    acquiring a construction request of a device group, and determining a hierarchy request set based on the construction request, wherein the hierarchy request set comprises a first hierarchy request and a second hierarchy request;
    determining a set of candidate devices in a device set based on the second tier request and determining a set of candidate device groups based on the set of candidate devices in a specified order; and
    determining at least one recommended device group among the candidate device group set based on the first hierarchical request.
  2. The method of construction according to claim 1,
    the first level request is associated with a characteristic parameter of the group of devices, and the second level request is associated with a characteristic parameter of the devices.
  3. The method of constructing as claimed in claim 2, wherein said determining a candidate device set in a device set further comprises:
    performing a graph-based query in a graph library based on the second tier request;
    determining, in the device set, the candidate device set based on results of the graph-based query,
    wherein the atlas database includes atleast a part of the atlas of the set of instruments, and at least a portion of the atlases in the atlas library are constructed based on information associated with the feature parameters of the device.
  4. The building method according to claim 3, wherein the information associated with the characteristic parameter of the device is determined based on received device management information and/or device design information.
  5. The method of constructing as claimed in claim 3, further comprising:
    determining at least one candidate device subgroup in the candidate device set based on the second tier request, wherein a number of devices in the candidate device subgroup is less than a number of devices in the candidate device group,
    determining the set of candidate device groups based on the set of candidate devices and/or the at least one secondary set of candidate devices,
    wherein the second tier request is further associated with a feature parameter of the secondary set of candidate devices.
  6. The build method of claim 1 wherein devices in the set of candidate devices are selectively linked based on the specified order to determine the set of candidate device groups,
    wherein the specified order comprises at least one of:
    the production sequence of the product is that,
    the reverse order of the production sequence of the product,
    the order of production of a part of said product, and
    the reverse order of the production order of a part of the product.
  7. The method of constructing of claim 1, wherein the step of determining at least one recommended device group further comprises:
    evaluating at least a portion of the set of candidate device groups, and
    adjusting an evaluation order of subsequent candidate device groups based on an evaluation result of at least one of the candidate device groups.
  8. An apparatus for constructing a set of devices, comprising:
    an interface module configured to obtain a build request for a group of devices and determine a set of hierarchical requests based on the build request, wherein the set of hierarchical requests includes a first hierarchical request and a second hierarchical request;
    a matching module configured to determine a set of candidate devices in a set of devices based on the second tier request; and
    a group processing module configured to determine a set of candidate device groups based on the set of candidate devices in a specified order and determine at least one recommended device group in the set of candidate device groups based on the first hierarchical request.
  9. The building apparatus according to claim 8,
    the first level request is associated with a characteristic parameter of the group of devices, and the second level request is associated with a characteristic parameter of the devices.
  10. The build device of claim 9, further comprising:
    a graph module configured to perform a graph-based query in a graph library based on the second tier request and provide query results to the matching module, thereby causing the matching module to determine the set of candidate devices in the set of devices based on the query results,
    wherein the atlas database includes atleast a part of atleast an atlas of the set of instruments, and atleast a part of the atlas database is constructed based on information associated with characteristic parameters of the instrument.
  11. The building apparatus according to claim 10, wherein the information associated with the characteristic parameter of the device is determined based on device management information and/or device design information received via the interface module.
  12. The build device of claim 10, wherein the matching module is further configured to:
    determining at least one candidate device subgroup in the candidate device set based on the second tier request, wherein a number of devices in the candidate device subgroup is less than a number of devices in the candidate device group,
    determining the set of candidate device groups based on the set of candidate devices and/or the at least one secondary set of candidate devices,
    wherein the second tier request is further associated with a feature parameter of the secondary set of candidate devices.
  13. The build apparatus of claim 8, wherein the group processing module is further configured to:
    selectively link devices in the candidate device set to determine the candidate device group based on the specified order, wherein the specified order includes at least one of:
    the production sequence of the product is as follows,
    the reverse order of the production sequence of the product,
    the order of production of a part of said product, and
    the reverse order of the production order of a part of the product.
  14. The build apparatus of claim 8, wherein the group processing module is further configured to:
    evaluating at least a portion of the set of candidate device groups, and
    adjusting an evaluation order of subsequent candidate device groups based on evaluation results of one or more of the candidate device groups.
  15. A computer storage medium having stored thereon computer-executable instructions that, when executed, perform the method of any of claims 1-7.
  16. A computer device comprising a memory and a processor, the memory having stored thereon computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1 to 7.
  17. A computer program product tangibly stored on a computer-readable medium and comprising computer-executable instructions that, when executed, cause at least one processor to perform the method of any of claims 1 to 7.
CN201980099535.XA 2019-08-29 2019-08-29 Equipment group construction method and device Pending CN115568287A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2019/103402 WO2021035635A1 (en) 2019-08-29 2019-08-29 Method and apparatus for building device group

Publications (1)

Publication Number Publication Date
CN115568287A true CN115568287A (en) 2023-01-03

Family

ID=74684809

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201980099535.XA Pending CN115568287A (en) 2019-08-29 2019-08-29 Equipment group construction method and device

Country Status (2)

Country Link
CN (1) CN115568287A (en)
WO (1) WO2021035635A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115952629B (en) * 2023-03-10 2023-05-23 江西中至科技有限公司 Automatic arrangement method and system for equipment pipelines in boiler room
CN116450938A (en) * 2023-04-07 2023-07-18 北京欧拉认知智能科技有限公司 Work order recommendation realization method and system based on map

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103488789B (en) * 2013-10-08 2017-08-18 百度在线网络技术（北京）有限公司 Recommendation method, device and search engine
DE102014013943A1 (en) * 2014-09-19 2016-03-24 Abb Technology Ag Device for managing and configuring field devices of an automation system
CN106571935B (en) * 2015-10-08 2020-01-17 阿里巴巴集团控股有限公司 Resource scheduling method and equipment
US20190279287A1 (en) * 2016-06-22 2019-09-12 Hello Tractor, Inc. Allocation of Mobile Farming Equipment Using Language-Agnostic Message Service
CN109298685B (en) * 2017-07-25 2020-11-27 西门子（中国）有限公司 Digital factory implementation method, digital factory implementation system and digital factory

Also Published As

Publication number Publication date
WO2021035635A1 (en) 2021-03-04

Similar Documents

Publication Publication Date Title
US7945537B2 (en) Methods, systems, and computer program products for disaster recovery planning
CN104714972B (en) Database divides table foundation and querying method
JP6530829B2 (en) Data multidimensional model generation system and data multidimensional model generation method
US9704118B2 (en) Predictive analytics in determining key performance indicators
CN102117306A (en) Method and system for monitoring ETL (extract-transform-load) data processing process
CN115568287A (en) Equipment group construction method and device
JP2008052719A (en) Computer implemented method for defining input product
CN110941602B (en) Database configuration method and device, electronic equipment and storage medium
CN103824119A (en) System and method for using performance indicators and predictive analysis for setting manufacturing equipment parameters
Back et al. A study for production simulation model generation system based on data model at a shipyard
CN104636401A (en) Data rollback method and device for SCADA system
US7254462B2 (en) Method and system for measuring a figure of a workpiece
CN115017806A (en) Incomplete disassembly line balance optimization method based on improved artificial bee colony algorithm
CN108416137B (en) Method for conveniently dividing and tracking simplified expression standard part in aircraft manufacturing
KR20150049077A (en) Digital Manufacturing Optimization System for Scenario Simulation and Discovering Bottleneck Processes Based
US11157883B2 (en) Step analysis process steps within a fleet performance optimization tool
US11004007B2 (en) Predictor management system, predictor management method, and predictor management program
JP2015230577A (en) Method of extending and adding annotation in process management system
US10649444B2 (en) Method and system for generating minimal cut-sets for highly integrated large systems
US11182520B2 (en) Multiphysics automated support generation for additively manufactured components
CN112241363B (en) Large-scale random load generation and verification method and system for analytical database
US7433750B2 (en) Data tracking method and system applied in semiconductor manufacturing
JP2007172516A (en) Method and program for predicting retrieval time required for database by sql sentence
WO2021182245A1 (en) Skill evaluation device and skill evaluation method
CN114049075B (en) Process route creation method, process route creation device, computer equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination