CN114511119A - Intelligent matching method and device based on combination of material model and knowledge graph - Google Patents
Intelligent matching method and device based on combination of material model and knowledge graph Download PDFInfo
- Publication number
- CN114511119A CN114511119A CN202210412990.4A CN202210412990A CN114511119A CN 114511119 A CN114511119 A CN 114511119A CN 202210412990 A CN202210412990 A CN 202210412990A CN 114511119 A CN114511119 A CN 114511119A
- Authority
- CN
- China
- Prior art keywords
- spare part
- maintenance
- matching
- repair
- information
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides an intelligent matching method and device based on combination of a material model and a knowledge graph, wherein the method comprises the following steps: according to different types of repair service, formulating a plurality of sets of maintenance time standard-reaching rules; analyzing the received repair mail, and matching the analyzed equipment model and fault type information of the repair equipment with the material list recorded with the spare part model information to obtain the replaceable spare part product information; if the local warehouse does not have the replaceable spare part products, the replaceable spare part products in other warehouses are dispatched and delivered out of the warehouse according to the nearby matching principle. According to the intelligent matching method and device based on the combination of the material model and the knowledge graph, the repair mails are matched with the bill of materials to obtain the replaceable spare part products, spare part products in other storehouses are dispatched according to the nearby matching principle, the efficiency of the spare part products in the storehouses is improved, and the timeliness of maintenance work is guaranteed.
Description
Technical Field
The invention relates to the technical field of internet, in particular to an intelligent matching method and device based on combination of a material model and a knowledge graph.
Background
In the machine maintenance process in the prior art, after the repair mail is read manually and the fault type is analyzed, an engineer is dispatched to check the damaged part on site, and then the spare part replacement application is carried out according to the returned result. If the current storehouse has no replaceable spare parts, the current storehouse needs to be connected with other storehouse managers through the offline to negotiate and allocate the spare parts. If no reference is consulted by the maintenance knowledge base, the maintenance efficiency of staff is low, and no standard time rule is used for management, so that the customer satisfaction is low.
Disclosure of Invention
In order to solve the existing technical problems, the embodiment of the invention provides an intelligent matching method and device based on the combination of a material model and a knowledge graph.
In a first aspect, an embodiment of the present invention provides an intelligent matching method based on a combination of a material model and a knowledge graph, including:
formulating a plurality of sets of maintenance time standard-reaching rules according to different repair service types;
analyzing the received repair mail, matching the analyzed equipment model and fault type information of repair equipment with a material list recorded with spare part model information to obtain replaceable spare part product information, matching and generating maintenance deadline corresponding to the repair service according to the maintenance time standard reaching rule, and issuing the maintenance deadline to a maintenance engineer;
if the local warehouse does not have the replaceable spare part product, the replaceable spare part products in other warehouses are dispatched and delivered out of the warehouse according to the nearby matching principle;
and generating a maintenance solution according to the content of the bill of material information matching maintenance knowledge base, and issuing the maintenance solution to the maintenance engineer for use.
In a second aspect, an embodiment of the present invention provides an intelligent matching device based on a combination of a material model and a knowledge graph, including a rule making module, an analysis matching module, a product allocating module, and a scheme issuing module:
the rule making module is used for making a plurality of sets of maintenance time standard reaching rules according to different repair service types;
the analysis matching module is used for analyzing the received repair mails, matching the analyzed equipment model and fault type information of the repair equipment with a material list recorded with spare part model information to obtain replaceable spare part product information, and generating maintenance deadline corresponding to the repair service according to the maintenance time standard reaching rule in a matching manner and issuing the maintenance deadline to a maintenance engineer;
the product allocating module is used for allocating replaceable spare part products of other storehouses to be delivered out of the storehouses according to the nearby matching principle if the local storehouses do not have the replaceable spare part products;
and the scheme issuing module is used for generating a maintenance solution according to the content of the bill of material information matched with the maintenance knowledge base and issuing the maintenance solution to the maintenance engineer for use.
In a third aspect, an embodiment of the present invention provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when executed by the processor, the computer program implements the steps in the intelligent matching method based on the combination of the material model and the knowledge graph as described above.
In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the intelligent matching method based on material model and knowledge graph combination as described above.
According to the method, the device, the electronic equipment and the computer readable storage medium provided by the embodiment of the invention, the repair mail is matched with the bill of materials to obtain the replaceable spare part product, and if the spare part product does not exist in the local warehouse, spare part products in other warehouses are dispatched and delivered out of the warehouse according to the nearby matching principle, so that the delivery efficiency of the spare part product is improved, and the timeliness of maintenance work is ensured. Meanwhile, the maintenance deadline is generated according to the standard reaching rule of the maintenance time, the maintenance solution is generated according to the content of the maintenance knowledge base, the maintenance deadline and the maintenance solution are issued to the maintenance engineer, the maintenance deadline is formulated for the maintenance engineer, the optimal maintenance solution is given, the working efficiency of the maintenance engineer is improved, the maintenance quality is ensured, and the satisfaction degree of customers is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present invention, the drawings required to be used in the embodiments or the background art of the present invention will be described below.
FIG. 1 is a flow chart of an intelligent matching method based on a combination of a material model and a knowledge graph according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a specific method of step S104 in FIG. 1 according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an intelligent matching device based on a combination of a material model and a knowledge graph according to an embodiment of the present invention;
fig. 4 shows a schematic structural diagram of an intelligent matching electronic device based on combination of a material model and a knowledge graph according to an embodiment of the present invention.
Detailed Description
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as methods, apparatus, electronic devices, and computer-readable storage media. Thus, embodiments of the invention may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, embodiments of the invention may also be embodied in the form of a computer program product in one or more computer-readable storage media having computer program code embodied in the medium.
The computer-readable storage media described above may take any combination of one or more computer-readable storage media. The computer-readable storage medium includes: an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer-readable storage medium include: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only Memory (ROM), an erasable programmable read-only Memory (EPROM), a Flash Memory, an optical fiber, a compact disc read-only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any combination thereof. In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device, or apparatus.
The computer program code embodied on the computer readable storage medium may be transmitted using any appropriate medium, including: wireless, wire, fiber optic cable, Radio Frequency (RF), or any suitable combination thereof.
Computer program code for carrying out operations for embodiments of the present invention may be written in one or more programming languages, including an object oriented programming language such as: java, Smalltalk, C + +, and also include conventional procedural programming languages, such as: c or a similar programming language. The computer program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be over any of a variety of networks, including: a Local Area Network (LAN) or a Wide Area Network (WAN), which may be connected to the user's computer, may be connected to an external computer.
Embodiments of the present invention are described below with reference to flowchart illustrations and/or block diagrams of methods, apparatus, electronic devices, and computer-readable storage media according to embodiments of the invention.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing apparatus to function in a particular manner. Thus, the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The embodiments of the present invention will be described below with reference to the drawings.
Fig. 1 shows a flowchart of an intelligent matching method based on a combination of a material model and a knowledge graph according to an embodiment of the present invention. As shown in fig. 1, the method includes:
step S101: according to the types of different repair services, a plurality of sets of maintenance time standard-reaching rules are formulated, and when received repair mails are analyzed, maintenance deadline time is calculated;
the customer can choose the standard rule of maintenance time that is commonly used, also can match the standard rule of maintenance time that accords with oneself according to the condition, and the system provides options such as maintenance standard, cycle day, whether to regard working day 14 hours as the limit, working day/nature day, etc., and the standard rule of maintenance time is as follows:
7: the repair can be reported 7 days per week;
24: the repair can be reported 24 hours a day;
5: the repair can be reported from Monday to Friday;
8: the repair can be reported from 9:00 to 17:00 every day;
4: 4 hours of spare parts arrive at the customer site;
NBD: the next working day of the spare part arrives at the customer site.
The system automatically calculates the maintenance deadline corresponding to the repair service when analyzing the repair mail according to the maintenance time standard rule selected by the customer, and sends the maintenance deadline to a maintenance engineer for monitoring the working time limit of the maintenance engineer, thereby improving the working efficiency of the maintenance engineer and the satisfaction degree of the customer.
Step S102: the system obtains the asset information of IDC (Internet Data Center) of a client, regularly updates a bill of materials every day, and records the information of equipment model and spare part model;
in step S102, a Bill of Material (BOM) adopts a tree-structured design mode, and presents the information clearly by a visual form, so that a user can quickly find the location of each device in a machine room, the location of components of the device, the location of the components, and other detailed information according to the relationship between data, wherein the devices are distinguished by device SN (serial number) numbers; the bill of materials may support viewing of information such as equipment type, customer model, manufacturer model, maintenance time, machine room address, etc.
The equipment comprises a plurality of types of spare parts, including a CPU, a hard disk, an internal memory, a power supply and the like, wherein the spare parts of the same type and different types are distinguished by material numbers, and the spare parts of the same type and the same type, namely the spare parts under the same material number are distinguished by SN.
Step S103: the system receives a repair mail of a client, analyzes the repair mail to obtain information such as the repair equipment model and the fault type, and matches the information with a material list to obtain information such as the repair position, the machine room, the equipment SN, the spare part model and the SN of the repair mail;
step S104: matching whether the current storeroom has the replaceable spare part products with the same model or not, and directly taking out the storeroom by a storeroom pipe if the replaceable spare part products with the same model exist in the storeroom; if the spare parts are not stored, the system automatically searches the storehouses in which the spare parts of the type are stored, judges the longitude and latitude distance of each storehouse according to the nearby matching principle to give an optimal scheduling scheme, dispatches the spare parts to the current storehouses through manual examination, mails the spare parts to the current storehouses through the optimally scheduled storehouses, and takes the spare parts out of the storehouses through the storehouses;
as shown in fig. 2, step S104 specifically includes:
step S1041: in the step of warehousing management, the spare part model information is recorded into a warehouse corresponding to the system, and operation can be performed through two modes of code scanning recording and form recording;
the mature warehouse management system comprises warehouse management, warehousing management, ex-warehouse management, factory return management, allocation management, spare part list management, some statistical query and reports and the like, can help workers to quickly query required spare parts through systematic, scientific and standardized management of the spare parts, and greatly improves the management efficiency of spare part inventory; on the basis, replaceable spare parts of the storeroom can be quickly matched when the repair mail is received, and an optimal scheduling scheme is obtained.
And (3) warehouse management: mainly aims at the increase, deletion, modification and check of the storehouse information. The storeroom is divided into two types: the system comprises a storehouse and a logic sub-storehouse, wherein the storehouse corresponds to a real storehouse, spare part information is all input into the system one by one, and each spare part is accurately positioned by inquiring a storehouse-shelf-goods position; the logic sub-library is used for separately managing when a plurality of clients in one storehouse are used, and one client corresponds to one logic sub-library;
step S1042: managing the ex-warehouse time, ex-warehouse type and ex-warehouse quantity of the spare parts, wherein the ex-warehouse spare parts need to submit ex-warehouse applications, and can be taken out of the warehouse after the warehouse management audit passes;
step S1043: allocating spare parts from one warehouse to different warehouses to realize allocation management of the spare parts, wherein when the spare parts are damaged or unqualified, the spare parts need to be returned to a manufacturer for maintenance;
step S1044: providing a multi-way adjusting spare part to ensure timely delivery to complete maintenance;
when the local storehouse has no replaceable spare parts, the method is mainly ensured by the following steps: (1) setting a replaceable part number, and adding spare parts of the same type with different types as alternatives according to the information of the type of the spare parts; (2) and (4) obtaining the storeroom with the closest linear distance according to the longitude and latitude by allocating spare parts in the storeroom according to the principle of near, and initiating a spare part allocation application.
Step S1045: setting a spare part product inventory early warning step, wherein the inventory early warning is divided into a yellow early warning and a red early warning according to the customer grade;
yellow early warning: taking city storehouses as units and natural months as periods;
red early warning: project early warning at home and abroad, the national data of the month above home is taken as the standard, and the stock data of each country is taken as the standard at overseas; and when the project has early warning, the manufacturer needs to supplement the library.
Setting the usage amount of each material number spare part in the last natural month as A and the stock early warning base number as B;
wherein domestic stock B = a (1/3), overseas stock B = a (2/3);
setting the usage amount of each material number spare part product from 1 day 0 to 16 days of the month as C;
the yellow early warning meets the triggering condition: b is not less than (A-C);
the red early warning meets the triggering condition: b is not less than (A-C) 1.5.
Step S105: matching a maintenance knowledge base according to the equipment model and the spare part model to obtain an optimal maintenance solution;
in step S105, the maintenance knowledge base counts various types of maintenance knowledge and solutions, and because the range related to maintenance is wide, in order to facilitate a client to accurately query a desired content, the embodiment of the present invention provides a plurality of ways to query, which can be performed according to a project or a category.
The system adopts a tree structure to be divided into three classes, keyword query is added, and a second class and information such as keywords, items, knowledge content and the like are selected when content is created. The content sources are data uploaded by maintenance engineers, maintenance solutions and content released by the maintenance engineers, the maintenance engineers communicate and discuss in a mode of proposing questions and commenting answers, operation of approval, sharing and collection can be carried out, the content of the corresponding category is matched according to the current model of the spare part, then fuzzy query is carried out through fault reasons, and finally three solutions with the highest approval are selected and sent to the maintenance engineers for use through mails.
According to the intelligent matching method based on the combination of the material model and the knowledge graph, the repair mails are matched with the material list to obtain the replaceable spare part products, if the spare part product does not exist in the local warehouse, spare part products in other warehouses are dispatched to the warehouse according to the nearby matching principle, the warehouse-out efficiency of the spare part product is improved, and the timeliness of maintenance work is guaranteed. Meanwhile, the maintenance deadline is generated according to the standard reaching rule of the maintenance time, the maintenance solution is generated according to the content of the maintenance knowledge base, the maintenance deadline and the maintenance solution are issued to the maintenance engineer, the maintenance deadline is formulated for the maintenance engineer, the optimal maintenance solution is given, the working efficiency of the maintenance engineer is improved, the maintenance quality is ensured, and the satisfaction degree of customers is improved.
The intelligent matching method based on the combination of the material model and the knowledge graph further sets the inventory early warning to be multi-level according to the customer grade, can give an alarm to the inventory of the spare parts in time according to the condition of the customer, improves the efficiency of allocating spare part products, and meets the service requirements of different customers.
The intelligent matching method based on the combination of the material model and the knowledge graph according to the embodiment of the invention is described in detail with reference to fig. 1 to fig. 2, and the intelligent matching device based on the combination of the material model and the knowledge graph according to the embodiment of the invention is described in detail with reference to fig. 3.
Fig. 3 shows a schematic structural diagram of an intelligent matching device based on combination of a material model and a knowledge graph according to an embodiment of the present invention. As shown in fig. 3, the repair matching scheduling apparatus includes a rule making module 301, an analysis matching module 302, a product allocating module 303, and a scheme issuing module 304:
the rule making module 301 is configured to make multiple sets of maintenance time standard-reaching rules according to different types of repair service;
the analysis matching module 302 is configured to analyze the received repair mail, match the analyzed equipment model and fault type information of the repair equipment with a material list recorded with spare part model information to obtain replaceable spare part product information, and generate maintenance deadline corresponding to the repair service according to the maintenance time compliance rule, and send the maintenance deadline to a maintenance engineer;
the product allocating module 303 is configured to allocate replaceable spare part products in other storehouses according to a nearby matching principle to leave the storehouses if the local storehouses do not have the replaceable spare part products;
the solution issuing module 304 is configured to generate a maintenance solution according to the content of the bill of material information matching the maintenance knowledge base, and issue the maintenance solution to the maintenance engineer for use.
In the embodiment of the present invention, optionally, the product allocating module 303 is further configured to add spare parts of the same type and different models as alternative replaceable spare part products according to the spare part model information; and obtaining the warehouse with the shortest straight line distance according to the longitude and latitude information, and transferring the replaceable spare part product from the warehouse.
In the embodiment of the present invention, optionally, the system further includes an inventory early warning module 305, configured to classify the inventory early warning into a yellow early warning and a red early warning according to the customer level:
setting the usage amount of each material number spare part product in the last natural month as A and the stock early warning base number as B;
wherein domestic stock B = a (1/3), overseas stock B = a (2/3);
setting the usage amount of each material number spare part product from 1 day 0 to 16 days of the month as C;
the yellow early warning meets the triggering condition: b is not less than (A-C);
the red early warning meets the triggering condition: b is not less than (A-C) 1.5.
In this embodiment of the present invention, optionally, the scheme issuing module 304 includes:
the knowledge matching submodule 3041 is configured to match knowledge contents of corresponding categories in the maintenance knowledge base according to the spare part model information in the bill of materials;
the failure query submodule 3042 is configured to perform fuzzy query on the knowledge content according to the failure type, and issue the top ranking as a maintenance solution to the maintenance engineer.
According to the intelligent matching device based on the combination of the material model and the knowledge graph, the repair mails are matched with the bill of materials to obtain the replaceable spare part products, if the spare part product does not exist in the local warehouse, spare part products in other warehouses are dispatched to the warehouse according to the nearby matching principle, the warehouse-out efficiency of the spare part product is improved, and the timeliness of maintenance work is guaranteed. Meanwhile, the maintenance deadline is generated according to the standard reaching rule of the maintenance time, the maintenance solution is generated according to the content of the maintenance knowledge base, the maintenance deadline and the maintenance solution are issued to the maintenance engineer, the maintenance deadline is formulated for the maintenance engineer, the optimal maintenance solution is given, the working efficiency of the maintenance engineer is improved, the maintenance quality is ensured, and the satisfaction degree of customers is improved.
The intelligent matching device based on the combination of the material model and the knowledge graph further sets the inventory early warning to be multi-level according to the customer grade, can give an alarm to the inventory of the spare parts in time according to the condition of the customer, improves the efficiency of allocating spare part products, and meets the service requirements of different customers.
In addition, an embodiment of the present invention further provides an electronic device, which includes a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and operable on the processor, where the transceiver, the memory, and the processor are respectively connected via the bus, and when the computer program is executed by the processor, each process of the above-mentioned intelligent matching method embodiment based on the combination of the material model and the knowledge graph is implemented, and the same technical effect can be achieved, and details are not repeated here to avoid repetition.
Specifically, referring to fig. 4, an embodiment of the present invention further provides an electronic device, which includes a bus 41, a processor 42, a transceiver 43, a bus interface 44, a memory 45, and a user interface 46.
In an embodiment of the present invention, the electronic device further includes: a computer program stored on the memory 45 and executable on the processor 42, the computer program when executed by the processor 42 performing the steps of:
formulating a plurality of sets of maintenance time standard-reaching rules according to different repair service types;
analyzing the received repair mail, matching the analyzed equipment model and fault type information of repair equipment with a material list recorded with spare part model information to obtain replaceable spare part product information, matching and generating maintenance deadline corresponding to the repair service according to the maintenance time standard reaching rule, and issuing the maintenance deadline to a maintenance engineer;
if the local warehouse does not have the replaceable spare part product, the replaceable spare part products in other warehouses are dispatched and delivered out of the warehouse according to the nearby matching principle;
and generating a maintenance solution according to the content of the bill of material information matching maintenance knowledge base, and issuing the maintenance solution to the maintenance engineer for use.
Optionally, the computer program when executed by the processor 42 may further implement the steps of:
the step of, if the local store does not have the replaceable spare part product, further comprises:
adding spare parts of the same type with different types as alternative replaceable spare part products according to the spare part model information;
the step of transferring the replaceable spare part products of other storehouses according to the nearby matching principle comprises the following steps:
and obtaining the warehouse with the shortest straight line distance according to the longitude and latitude information, and transferring the replaceable spare part product from the warehouse.
Optionally, the computer program when executed by the processor 42 may further implement the steps of:
the method further comprises the step of setting spare part product inventory early warning, wherein the inventory early warning is divided into yellow early warning and red early warning according to the customer grade:
setting the usage amount of each material number spare part product in the last natural month as A and the stock early warning base number as B;
wherein domestic stock B = a (1/3), overseas stock B = a (2/3);
setting the usage amount of each material number spare part product from 1 day 0 to 16 days of the month as C;
the yellow early warning meets the triggering condition: b is not less than (A-C);
the red early warning meets the triggering condition: b is not less than (A-C) 1.5.
Optionally, the computer program when executed by the processor 42 may further implement the steps of:
the step of generating the maintenance solution according to the content of the bill of material information matching maintenance knowledge base specifically comprises the following steps:
matching knowledge contents of corresponding categories in the maintenance knowledge base according to the spare part model information in the bill of materials;
and carrying out fuzzy query in the knowledge content according to the fault type, and issuing praise numbers in the front row as maintenance solutions to the maintenance engineer.
A transceiver 43 for receiving and transmitting data under the control of the processor 42.
In FIG. 4, a bus architecture (represented by bus 41), bus 41 may include any number of interconnected buses and bridges, with bus 41 connecting various circuits including one or more processors, represented by processor 42, and memory, represented by memory 45.
The processor 42 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits in hardware or instructions in software in a processor. The processor described above includes: general purpose processors, Central Processing Units (CPUs), Network Processors (NPs), Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Complex Programmable Logic Devices (CPLDs), Programmable Logic Arrays (PLAs), Micro Control Units (MCUs) or other Programmable Logic devices, discrete gates, transistor Logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. For example, the processor may be a single core processor or a multi-core processor, which may be integrated on a single chip or located on multiple different chips.
The processor 42 may be a microprocessor or any conventional processor. The steps of the method disclosed in connection with the embodiments of the present invention may be directly performed by a hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor. The software modules may be located in a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), a register, and other readable storage media known in the art. The readable storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The bus 41 may also connect various other circuits such as peripherals, voltage regulators, or power management circuits to provide an interface between the bus 41 and the transceiver 43, as is well known in the art. Therefore, the embodiments of the present invention will not be further described.
The transceiver 43 may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other devices over a transmission medium. For example: the transceiver 43 receives external data from other devices, and the transceiver 43 is used to transmit data processed by the processor 42 to other devices. Depending on the nature of the computer system, a user interface 46 may also be provided, such as: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It should be appreciated that in embodiments of the present invention, memory 45 may further include memory located remotely from processor 42, which may be connected to a server via a network. One or more portions of the above-described networks may be an ad hoc network (ad hoc network), an intranet (intranet), an extranet (extranet), a Virtual Private Network (VPN), a Local Area Network (LAN), a Wireless Local Area Network (WLAN), a Wide Area Network (WAN), a Wireless Wide Area Network (WWAN), a Metropolitan Area Network (MAN), the Internet (Internet), a Public Switched Telephone Network (PSTN), a plain old telephone service network (POTS), a cellular telephone network, a wireless fidelity (Wi-Fi) network, and combinations of two or more of the above. For example, the cellular telephone network and the wireless network may be a global system for Mobile Communications (GSM) system, a Code Division Multiple Access (CDMA) system, a Worldwide Interoperability for Microwave Access (WiMAX) system, a General Packet Radio Service (GPRS) system, a Wideband Code Division Multiple Access (WCDMA) system, a Long Term Evolution (LTE) system, an LTE Frequency Division Duplex (FDD) system, an LTE Time Division Duplex (TDD) system, a long term evolution-advanced (LTE-a) system, a Universal Mobile Telecommunications (UMTS) system, an enhanced Mobile Broadband (eMBB) system, a mass Machine Type Communication (mtc) system, an Ultra Reliable Low Latency Communication (urrllc) system, or the like.
It will be appreciated that memory 45 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: Read-Only Memory (ROM), Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), or Flash Memory.
The volatile memory includes: random Access Memory (RAM), which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory (Static RAM, SRAM), Dynamic random access memory (Dynamic RAM, DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct memory bus RAM (DRRAM). The memory 45 of the electronic device described in the embodiments of the present invention includes, but is not limited to, the above and any other suitable types of memory.
In an embodiment of the present invention, the memory 45 stores the following elements of the operating system 451 and application programs 452: an executable module, a data structure, or a subset thereof, or an expanded set thereof.
Specifically, the operating system 451 includes various system programs such as: a framework layer, a core library layer, a driver layer, etc. for implementing various basic services and processing hardware-based tasks. The applications 452 include various applications such as: media Player (Media Player), Browser (Browser), for implementing various application services. Programs that implement methods in accordance with embodiments of the invention can be included in application programs 452. The application programs 452 include: applets, objects, components, logic, data structures, and other computer system executable instructions that perform particular tasks or implement particular abstract data types.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements each process of the above-mentioned intelligent matching method embodiment based on a combination of a material model and a knowledge graph, and can achieve the same technical effect, and is not described herein again to avoid repetition.
In particular, the computer program may, when executed by a processor, implement the steps of:
formulating a plurality of sets of maintenance time standard-reaching rules according to different repair service types;
analyzing the received repair mail, matching the analyzed equipment model and fault type information of repair equipment with a material list recorded with spare part model information to obtain replaceable spare part product information, matching and generating maintenance deadline corresponding to the repair service according to the maintenance time standard-meeting rule, and issuing the maintenance deadline to a maintenance engineer;
if the local warehouse does not have the replaceable spare part product, the replaceable spare part products in other warehouses are dispatched and delivered out of the warehouse according to the nearby matching principle;
and generating a maintenance solution according to the content of the bill of material information matching maintenance knowledge base, and issuing the maintenance solution to the maintenance engineer for use.
Optionally, the computer program when executed by the processor may further implement the steps of:
the step of, if the local store does not have the replaceable spare part product, further comprises:
adding spare parts of the same type with different types as alternative replaceable spare part products according to the spare part model information;
the step of transferring the replaceable spare part products of other storehouses according to the nearby matching principle comprises the following steps:
and obtaining the warehouse with the shortest straight line distance according to the longitude and latitude information, and transferring the replaceable spare part product from the warehouse.
Optionally, the computer program when executed by the processor may further implement the steps of:
the method further comprises the step of setting spare part product inventory early warning, wherein the inventory early warning is divided into yellow early warning and red early warning according to the customer grade:
setting the usage amount of each material number spare part product in the last natural month as A and the stock early warning base number as B;
wherein domestic stock B = a (1/3), overseas stock B = a (2/3);
setting the usage amount of each material number spare part product from 1 day 0 to 16 days of the month as C;
the yellow early warning meets the triggering condition: b is more than or equal to (A-C);
the red early warning meets the triggering condition: b is not less than (A-C) 1.5.
Optionally, the computer program when executed by the processor may further implement the steps of:
the step of generating the maintenance solution according to the content of the bill of material information matching maintenance knowledge base specifically comprises the following steps:
matching knowledge contents of corresponding categories in the maintenance knowledge base according to the spare part model information in the bill of materials;
and carrying out fuzzy query in the knowledge content according to the fault type, and issuing praise numbers in the front row as maintenance solutions to the maintenance engineer.
The computer-readable storage medium includes: permanent and non-permanent, removable and non-removable media may be tangible devices that retain and store instructions for use by an instruction execution apparatus. The computer-readable storage medium includes: electronic memory devices, magnetic memory devices, optical memory devices, electromagnetic memory devices, semiconductor memory devices, and any suitable combination of the foregoing. The computer-readable storage medium includes: phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), non-volatile random access memory (NVRAM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassette storage, magnetic tape disk storage or other magnetic storage devices, memory sticks, mechanically encoded devices (e.g., punched cards or raised structures in a groove having instructions recorded thereon), or any other non-transmission medium useful for storing information that may be accessed by a computing device. As defined in embodiments of the present invention, the computer-readable storage medium does not include transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses traveling through a fiber optic cable), or electrical signals transmitted through a wire.
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.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed in the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating the interchangeability of hardware and software. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer program instructions. The computer program instructions comprise: assembly instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, integrated circuit configuration data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as: smalltalk, C + + and procedural programming languages, such as: c or a similar programming language.
When the computer program instructions are loaded and executed on a computer, which may be a computer, a special purpose computer, a network of computers, or other editable apparatus, all or a portion of the procedures or functions described herein may be performed, in accordance with the embodiments of the invention. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, such as: the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, twisted pair, fiber optic, Digital Subscriber Line (DSL)), or wirelessly (e.g., infrared, wireless, microwave). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy disk, magnetic tape), an optical medium (e.g., optical disk), or a semiconductor medium (e.g., Solid State Drive (SSD)), among others. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing embodiments of the method of the present invention, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, electronic device and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electrical, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to solve the problem to be solved by the embodiment of the invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be substantially or partially contributed by the prior art, or all or part of the technical solutions may be embodied in a software product stored in a storage medium and including instructions for causing a computer device (including a personal computer, a server, a data center, or other network devices) to execute all or part of the steps of the methods of the embodiments of the present invention. And the storage medium includes various media that can store the program code as listed in the foregoing.
The above description is only a specific implementation of the embodiments of the present invention, but the scope of the embodiments of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the embodiments of the present invention, and all such changes or substitutions should be covered by the scope of the embodiments of the present invention. Therefore, the protection scope of the embodiments of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent matching method based on combination of a material model and a knowledge graph is characterized by comprising the following steps:
formulating a plurality of sets of maintenance time standard-reaching rules according to different repair service types;
analyzing the received repair mail, matching the analyzed equipment model and fault type information of repair equipment with a material list recorded with spare part model information to obtain replaceable spare part product information, matching and generating maintenance deadline corresponding to the repair service according to the maintenance time standard reaching rule, and issuing the maintenance deadline to a maintenance engineer;
if the local warehouse does not have the replaceable spare part product, the replaceable spare part products in other warehouses are dispatched and delivered out of the warehouse according to the nearby matching principle;
and generating a maintenance solution according to the content of the bill of material information matching maintenance knowledge base, and issuing the maintenance solution to the maintenance engineer for use.
2. The method of claim 1, wherein the step of, if the local warehouse does not have the replaceable spare part product, further comprises:
adding spare parts of the same type with different types as alternative replaceable spare part products according to the spare part model information;
the step of transferring the replaceable spare part products of other storehouses according to the nearby matching principle comprises the following steps:
and obtaining the warehouse with the shortest straight line distance according to the longitude and latitude information, and transferring the replaceable spare part product from the warehouse.
3. The method according to claim 1 or 2, further comprising the step of setting an inventory warning for spare parts products, the inventory warning being classified as yellow warning and red warning according to customer grade:
setting the usage amount of each material number spare part product in the last natural month as A and the stock early warning base number as B;
wherein domestic stock B = a (1/3), overseas stock B = a (2/3);
setting the usage amount of each material number spare part product from 1 day 0 to 16 days of the month as C;
the yellow early warning meets the triggering condition: b is not less than (A-C);
the red early warning meets the triggering condition: b is not less than (A-C) 1.5.
4. The method of claim 1, wherein the generating a repair solution based on the bill of material information matching the contents of the repair knowledge base specifically comprises:
matching knowledge contents of corresponding categories in the maintenance knowledge base according to the spare part model information in the bill of materials;
and carrying out fuzzy query in the knowledge content according to the fault type, and issuing praise numbers in the front row as maintenance solutions to the maintenance engineer.
5. The utility model provides an intelligence matching device based on material model and knowledge map combine together which characterized in that, includes rule formulation module, analysis matching module, product allocation module, scheme and issues the module:
the rule making module is used for making a plurality of sets of maintenance time standard reaching rules according to different repair service types;
the analysis matching module is used for analyzing the received repair mails, matching the analyzed equipment model and fault type information of the repair equipment with a material list recorded with spare part model information to obtain replaceable spare part product information, and generating maintenance deadline corresponding to the repair service according to the maintenance time standard reaching rule in a matching manner and issuing the maintenance deadline to a maintenance engineer;
the product allocating module is used for allocating replaceable spare part products of other storehouses to be delivered out of the storehouses according to the nearby matching principle if the local storehouses do not have the replaceable spare part products;
and the scheme issuing module is used for generating a maintenance solution according to the content of the bill of material information matched with the maintenance knowledge base and issuing the maintenance solution to the maintenance engineer for use.
6. The device of claim 5, wherein the product allocating module is further configured to add spare parts of the same type of different models as alternative replaceable spare part products according to the spare part model information; and obtaining the warehouse with the shortest straight line distance according to the longitude and latitude information, and transferring the replaceable spare part product from the warehouse.
7. The apparatus of claim 5 or 6, further comprising an inventory pre-warning module configured to classify the inventory pre-warning into a yellow pre-warning and a red pre-warning according to a customer rating:
setting the usage amount of each material number spare part product in the last natural month as A and the stock early warning base number as B;
wherein domestic stock B = a (1/3), overseas stock B = a (2/3);
setting the usage amount of each material number spare part product from 1 day 0 to 16 days of the month as C;
the yellow early warning meets the triggering condition: b is not less than (A-C);
the red early warning meets the triggering condition: b is not less than (A-C) 1.5.
8. The apparatus of claim 5 or 6, wherein the scheme issuing module comprises:
the knowledge matching sub-module is used for matching knowledge contents of corresponding categories in the maintenance knowledge base according to the model information of the spare parts in the bill of materials;
and the fault query submodule is used for carrying out fuzzy query in the knowledge content according to the fault type and issuing praise numbers in the front row as maintenance solutions to the maintenance engineer.
9. An electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected via the bus, characterized in that the computer program, when executed by the processor, implements the steps in the intelligent matching method based on material models in combination with knowledge-graphs according to any of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the intelligent matching method based on material models in combination with knowledge-graphs according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210412990.4A CN114511119A (en) | 2022-04-20 | 2022-04-20 | Intelligent matching method and device based on combination of material model and knowledge graph |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210412990.4A CN114511119A (en) | 2022-04-20 | 2022-04-20 | Intelligent matching method and device based on combination of material model and knowledge graph |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114511119A true CN114511119A (en) | 2022-05-17 |
Family
ID=81554922
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210412990.4A Pending CN114511119A (en) | 2022-04-20 | 2022-04-20 | Intelligent matching method and device based on combination of material model and knowledge graph |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114511119A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115169658A (en) * | 2022-06-24 | 2022-10-11 | 南京英诺森软件科技有限公司 | Inventory consumption prediction method, system and storage medium based on NPL and knowledge graph |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108256654A (en) * | 2018-01-02 | 2018-07-06 | 中电长城(长沙)信息技术有限公司 | A kind of equipment report barrier and fault diagnosis method and system |
| JP2018113006A (en) * | 2017-01-13 | 2018-07-19 | 悠記 青木 | Global maintenance service support system |
| CN109740988A (en) * | 2018-12-28 | 2019-05-10 | 上汽通用五菱汽车股份有限公司 | Method, equipment and storage medium are alloted in accessory consignment and direct selling based on fitting system |
| CN111445135A (en) * | 2020-03-26 | 2020-07-24 | 宁波邑畅交通设备科技有限公司 | Intelligent maintenance method and device, computer equipment and storage medium |
| CN111580495A (en) * | 2020-04-29 | 2020-08-25 | 北京绪水互联科技有限公司 | Remote fault processing method, device and system for medical instrument |
| CN113360628A (en) * | 2021-07-26 | 2021-09-07 | 广州市琪讯数码科技有限公司 | Network repair event layered maintenance method and system based on problem knowledge base |
-
2022
- 2022-04-20 CN CN202210412990.4A patent/CN114511119A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018113006A (en) * | 2017-01-13 | 2018-07-19 | 悠記 青木 | Global maintenance service support system |
| CN108256654A (en) * | 2018-01-02 | 2018-07-06 | 中电长城(长沙)信息技术有限公司 | A kind of equipment report barrier and fault diagnosis method and system |
| CN109740988A (en) * | 2018-12-28 | 2019-05-10 | 上汽通用五菱汽车股份有限公司 | Method, equipment and storage medium are alloted in accessory consignment and direct selling based on fitting system |
| CN111445135A (en) * | 2020-03-26 | 2020-07-24 | 宁波邑畅交通设备科技有限公司 | Intelligent maintenance method and device, computer equipment and storage medium |
| CN111580495A (en) * | 2020-04-29 | 2020-08-25 | 北京绪水互联科技有限公司 | Remote fault processing method, device and system for medical instrument |
| CN113360628A (en) * | 2021-07-26 | 2021-09-07 | 广州市琪讯数码科技有限公司 | Network repair event layered maintenance method and system based on problem knowledge base |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115169658A (en) * | 2022-06-24 | 2022-10-11 | 南京英诺森软件科技有限公司 | Inventory consumption prediction method, system and storage medium based on NPL and knowledge graph |
| CN115169658B (en) * | 2022-06-24 | 2023-11-21 | 南京英诺森软件科技有限公司 | Inventory consumption prediction method, system and storage medium based on NPL and knowledge graph |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10430743B2 (en) | Computerized system for simulating the likelihood of technology change incidents | |
| US20170242630A1 (en) | System for categorical data dynamic decoding | |
| CN105447681B (en) | Physical and chemical detection control and information management system | |
| CN109597842A (en) | Data real-time computing technique, device, equipment and computer readable storage medium | |
| US10019486B2 (en) | Computerized system for analyzing operational event data | |
| US10366337B2 (en) | Computerized system for evaluating the likelihood of technology change incidents | |
| US9721294B1 (en) | Apparatus and method for evaluating and presenting supply chain condition of an enterprise | |
| US10366367B2 (en) | Computerized system for evaluating and modifying technology change events | |
| US10838969B2 (en) | Computerized system for evaluating technology stability | |
| CN111294730B (en) | Method and device for processing network problem complaint information | |
| US20170242629A1 (en) | System for categorical data encoding | |
| US10387230B2 (en) | Technical language processor administration | |
| US20170242895A1 (en) | Operational data processor | |
| CN112926941B (en) | Management method and device of financial auditing rules, storage medium and server | |
| CN114511119A (en) | Intelligent matching method and device based on combination of material model and knowledge graph | |
| US20170242896A1 (en) | Technical language processor | |
| US20210004742A1 (en) | Predictive data objects | |
| US11645272B2 (en) | Method, system, device and medium for querying product history | |
| US10366338B2 (en) | Computerized system for evaluating the impact of technology change incidents | |
| CN105786941A (en) | Information mining method and device | |
| CN109903079A (en) | Information processing method, equipment and storage medium | |
| CN111353671B (en) | Supply chain management method, device and system | |
| US20160189074A1 (en) | Method and system for an enterprise process engine for intelligence and collaboration | |
| US8984004B2 (en) | Information collecting system | |
| EP4318346A1 (en) | Warehouse order task processing method and apparatus, storage medium, and electronic device |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220517 |
|
| RJ01 | Rejection of invention patent application after publication |