CN117592911A - Management method, system, equipment and medium for metal forming processing resources - Google Patents
Management method, system, equipment and medium for metal forming processing resources Download PDFInfo
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Abstract
The application relates to the technical field of automated production, in particular to a management method, a system, equipment and a medium for metal forming processing resources. The method comprises the following steps: identifying the client information in a fuzzy matching mode according to a preset bill of materials model and a preset first rule, and determining effective information in the client information; extracting the effective information based on a preset second rule, and determining subordinate information of the effective information; and acquiring the parameter types of the subordinate information, and selecting a corresponding mode to match the bill of materials library according to the parameter types to obtain the bill of materials corresponding to the customer information. This application has the effect that reduces artifical demand, improves production efficiency.
Description
Technical Field
The application relates to the technical field of automated production, in particular to a management method, a system, equipment and a medium for metal forming processing resources.
Background
At present, with the rapid development of industry, the competition intensity of the manufacturing industry is increased year by year, and how to improve the production efficiency is a problem that should be emphasized by each manufacturing industry related enterprise.
In the traditional manufacturing industry, for customer order information, effective information, production parameters and the like are screened by manual operation, and when customer order information data are huge or orders are rapidly increased, production efficiency requirements can not be met by manual operation.
Disclosure of Invention
In order to reduce the manual demand and improve the production efficiency, the application provides a management method, a system, equipment and a medium for metal forming processing resources.
In a first aspect, the present application provides a method for managing metal forming processing resources, which adopts the following technical scheme:
a method of managing metal forming process resources, comprising:
identifying customer information in a fuzzy matching mode according to a preset bill of materials model and a preset first rule, and determining effective information in the customer information, wherein the preset first rule is set according to a mapping relation of associated names;
extracting the effective information based on a preset second rule, and determining lower-level information of the effective information, wherein the preset second rule is obtained according to historical user information, and the lower-level information is parameter information of the effective information;
and acquiring the parameter type of the subordinate information, and selecting a corresponding mode to match a bill of materials library according to the parameter type to obtain a bill of materials corresponding to the client information.
Through adopting above-mentioned technical scheme, according to preset bill of materials model and preset first rule, discern customer information through fuzzy matching's mode, confirm effective information, extract effective information based on preset second rule, confirm effective information's subordinate information, select corresponding mode matching bill of materials storehouse according to subordinate information's parameter type, obtain customer information's bill of materials, can handle huge and complicated customer information fast, obtain the information that production needs, the manual demand is reduced, production efficiency is improved.
Optionally, the identifying the client information according to the preset bill of materials model and the preset first rule in a fuzzy matching mode, and determining the effective information in the client information includes:
generating a client template according to the preset first rule;
converting the client information according to the client template to determine standard client information;
fuzzy matching is carried out on the client numbers in the standard client information according to a failure number list, and the failure number list is obtained according to the historical user information and is stored in the preset bill of materials model;
removing the invalid piece number in the standard customer information according to the fuzzy matching result;
matching the client number in the standard client information after the invalid client number is removed according to the preset bill of materials model;
and comparing the matched data of the client number in the standard client information with the corresponding data in the preset bill of materials model to obtain the effective information.
Through adopting above-mentioned technical scheme, based on the customer template converts customer information, obtains standard customer information, removes the ineffectiveness piece number to the customer piece number of standard customer information according to ineffectiveness piece number list, matches the customer piece number of standard customer information after removing ineffectiveness piece number according to predetermineeing bill of materials model, confirms effective information, is convenient for handle customer information, reduces work load, has indirectly improved production efficiency.
Optionally, the fuzzy matching of the client numbers in the standard client information according to the invalid client number list includes:
acquiring a first invalidation piece number needing fuzzy matching in the invalidation piece number list;
and carrying out fuzzy matching on the client numbers in the standard client information according to the first invalid piece numbers, and determining all first client numbers containing the first invalid piece numbers.
Optionally, the method further comprises:
acquiring a second invalid piece number which is required to be accurately matched in the invalid piece number list;
and according to the second invalid piece number, carrying out accurate matching on the piece numbers of the clients in the standard client information, and determining all second client pieces containing the second invalid piece number.
By adopting the technical scheme, the invalid piece number in the standard customer information is selected based on the fuzzy matching and the accurate matching, so that the subsequent matching workload is reduced.
Optionally, the extracting the effective information based on the preset second rule, and determining the subordinate information of the effective information includes:
limiting the quantity of the lower-level information of the effective information according to the preset second rule, and determining the limiting quantity of the lower-level information of the effective information;
acquiring the importance of all extractable information of the effective information;
and extracting the extractable information according to the order of the importance of the extractable information from high to low based on the limited quantity, and determining the subordinate information.
By adopting the technical scheme, the lower-level information is determined according to the limiting quantity of the lower-level information of the effective information and the importance of all the extractable information of the effective information, and the effective information is described by the minimum lower-level information, so that the quantity of data to be processed is reduced, and the production efficiency is indirectly improved.
Optionally, the obtaining the parameter type of the subordinate information, selecting a matching bill of materials library in a corresponding mode according to the parameter type, and obtaining a bill of materials corresponding to the client information includes:
and when the parameter type of the lower information is a fixed parameter, directly matching the bill of materials library according to the client number of the lower information, or matching the bill of materials library according to the client number and the parameter of the lower information, and obtaining the bill of materials corresponding to the client information.
Optionally, the obtaining the parameter type of the subordinate information, selecting a corresponding mode to match with a bill of materials library according to the parameter type to obtain a bill of materials corresponding to the client information, and further includes:
and when the parameter type of the lower information is not a constant parameter, matching the bill of materials library according to the client number and the consumption of the lower information, if the matching is successful, respectively verifying whether the client number of the corresponding effective information of the lower information is consistent with the bill of materials library, and whether the lower information is consistent with the bill of materials library, and if so, obtaining the bill of materials corresponding to the client information.
By adopting the technical scheme, the corresponding mode is selected to be matched with the bill of materials library according to the parameter types of the subordinate information, so that the bill of materials of the client information is obtained, the bill of materials of the client information can be quickly obtained by matching in the corresponding mode, and the production efficiency is indirectly improved.
In a second aspect, the present application provides a management system for metal forming processing resources, which adopts the following technical scheme:
a system for managing metal forming process resources, comprising:
the effective information determining module is used for identifying the client information in a fuzzy matching mode according to a preset bill of materials model and a preset first rule, and determining the effective information in the client information, wherein the preset first rule is set according to the mapping relation of the associated names;
if the unrecognizable information exists, reporting errors and generating maintenance tasks;
the lower-level information determining module is used for extracting the effective information based on a preset second rule, determining lower-level information of the effective information, wherein the preset second rule is obtained according to historical user information, and the lower-level information is parameter information of the effective information;
and the bill of materials determining module acquires the parameter type of the subordinate information, and selects a corresponding mode to match a bill of materials library according to the parameter type to obtain a sub bill of materials of the subordinate information.
Through adopting above-mentioned technical scheme, according to preset bill of materials model and preset first rule, discern customer information through fuzzy matching's mode, confirm effective information, extract effective information based on preset second rule, confirm effective information's subordinate information, select corresponding mode matching bill of materials storehouse according to subordinate information's parameter type, obtain customer information's bill of materials, can handle huge and complicated customer information fast, obtain the information that production needs, the manual demand is reduced, production efficiency is improved.
In a third aspect, the present application provides an electronic device, comprising: a processor; a memory for storing the processor-executable instructions; the processor is configured to perform any of the methods described above.
In a fourth aspect, the present application provides a computer-readable storage medium comprising: a computer program is stored that can be loaded by a processor and that performs any of the methods described above.
Drawings
FIG. 1 is a flow chart of a method of managing metal forming process resources according to an embodiment of the present application;
FIG. 2 is a block diagram of a management system for metal forming process resources according to an embodiment of the present application;
fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below in conjunction with figures 1-3.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
As shown in fig. 1, a method for managing metal forming processing resources is described as follows (steps S101 to S103):
s101, identifying the client information in a fuzzy matching mode according to a preset bill of materials model and a preset first rule, and determining effective information in the client information.
In this embodiment, the preset bill of materials model is set up according to historical user information in advance, and is manually newly added and maintained according to customer requirements, including all customer part numbers, quantity and invalid part number lists, a preset first rule is established according to the mapping relation between the associated names of the customer information and standard customer information, a customer template is generated through the preset first rule to convert the customer information into customer order information, the customer information comprises the customer name, the part number, parameters and the like, the customer order information is in an Excel table form generally, the valid information is the valid part number in the customer information, fuzzy matching is performed on the customer part number in the standard customer information through the invalid part number list, the invalid part number is removed, matching is performed on the customer part number in the standard customer information from which the invalid part number is removed according to the preset bill of materials model, the valid part number is determined, the complicated and various customer information can be effectively arranged, the valid information is extracted, and the data processing efficiency is improved, so that the production efficiency is improved.
Specifically, identifying the client information in a fuzzy matching manner according to a preset bill of materials model and a preset first rule, and determining effective information in the client information comprises the following steps: generating a client template according to a preset first rule; converting the client information according to the client template, and determining standard client information; fuzzy matching is carried out on the client numbers in the standard client information according to the invalid number list, and the invalid number list is obtained according to the historical user information and is stored in a preset bill of materials model; removing the invalid piece number in the standard customer information according to the fuzzy matching result; matching the client number in the standard client information after the invalid client number is removed according to a preset bill of materials model; and comparing the data of the client number in the matched standard client information with corresponding data in a preset bill of materials model to obtain effective information.
In this embodiment, the client template is a conversion rule generated according to a preset first rule, for example, the preset first rule is that an index in the client information and a parameter in the standard client information have a mapping relation, the client template is that the index in the client information is converted into the parameter in the standard client information, the client template captures and places an index field into the parameter field in the standard client information, the standard client information comprises a client number, a parameter corresponding to the client number, and the like, because different clients name the same part or the same parameter differently, the client information needs to be converted into the standard client information so as to perform subsequent operation, for different clients, the corresponding client templates are different, generally one client corresponds to one client template, a failure number list comprises whether a failure number and a failure number are in fuzzy match or not, whether the failure number is in a fuzzy match column, if the failure number is in a "yes" way, then the failure number is in a fuzzy match, if the failure number is in a fuzzy match, accurate match is performed, an incomplete number and a complete failure number is in 8 bits, for example, the incomplete number can be 3, the failure number is in a state of a part of the same part or a failure number is in a different client, the failure number is in a fuzzy match with the client is required to be in a fuzzy match, the failure number is in a fuzzy match with the client, and a fuzzy match is required to be removed from the standard template, if the failure number is in a fuzzy match with the client is required, and a fuzzy match is required to be processed by a standard template, the complex data can be simplified, the workload of subsequent data processing is reduced, and the data processing efficiency is improved.
The invalid piece number list is generally time-efficient, and because the customer product is improved in a continuous iteration mode, the customer order is time-efficient, the invalid piece number list needs to be updated while the customer order is updated, some invalid piece numbers can be started, some invalid piece numbers can be stopped, and the updating is generally performed according to the requirements of customers.
When the client number in the standard client information is matched with the preset bill of materials model, comparing the parameter of the client number in the standard client information with the parameter of the corresponding client number in the preset bill of materials model, if the parameters are consistent, then comparing successfully, taking the corresponding client number in the standard client information as effective information, generating a client number list according to all the effective information, and laying a foundation for grasping the next-level information.
The standard customer information comprises a customer part number and parameters corresponding to the customer part number, the preset bill of materials model also comprises parameters corresponding to the customer part number and the customer part number, the customer part number in the standard customer information is firstly compared with the customer part number in the preset bill of materials model, if the customer part number is the same, the parameters corresponding to the customer part number are compared, if the parameters are still the same, the parameters corresponding to the customer part number and the customer part number are effective information, when a customer order is received, the time required by the customer is often far less than the time required by normal production, the processing enterprises are required to simplify the customer order, and a usable historical bill of materials is found out in a matching mode instead of the bill of materials is reproduced, so that the production efficiency can be improved.
By comparing the parameters of the client numbers in the standard client information with the parameters of the corresponding client numbers in the preset bill of materials model, if the parameters of the client numbers in the client orders corresponding to the standard client information are consistent and described to exist in the preset bill of materials model, the production and processing of the client orders can be realized by directly adopting a historical product or a historical process, the client numbers in the standard client information are used as effective information, and the subsequent processing process is appointed by taking the effective information as the standard.
If the information is inconsistent, the information cannot be identified, reporting errors, generating maintenance tasks, generating abnormal processing of the client number list, and updating the information which cannot be identified to a preset bill of materials model through updating or neglecting the information which cannot be identified.
If the parameters of the client number in the standard client information are inconsistent with the parameters of the corresponding client number in the preset bill of materials model, the parameters of the client number in the client order corresponding to the standard client information are not stored in the preset bill of materials model (can be partially or completely not stored), namely, the production and processing of the client order can not be realized by directly adopting a historical product or a historical process at the moment, errors are reported at the moment, maintenance tasks are generated, abnormal processing of the client number list is generated, the standard client information is used as abnormal order processing, and the specific abnormal order processing mode can be as follows: and (3) manually checking and processing, or converting the client information again (adopting a new rule) to obtain new standard client information, and then comparing the parameters of the client number in the standard client information with the parameters of the corresponding client number in the preset bill of materials model again until the comparison is consistent or the limited comparison is inconsistent, and then converting into manual checking and processing.
Further, fuzzy matching is performed on the client numbers in the standard client information according to the invalid client number list, including: acquiring a first invalidation piece number needing fuzzy matching in an invalidation piece number list; and carrying out fuzzy matching on the client numbers in the standard client information according to the first invalid part numbers, and determining all the first client numbers containing the first invalid part numbers.
Further, the method further comprises the following steps: acquiring a second invalidation piece number which needs to be accurately matched in the invalidation piece number list; and carrying out accurate matching on the client numbers in the standard client information according to the second invalid part numbers, and determining all second client numbers containing the second invalid part numbers.
In this embodiment, fuzzy matching is to search for the standard customer information with the first failed part number as the first customer part number, and the first failed part number is the first customer part number as the keyword, if the customer part number containing the keyword is searched (the customer part number may be completely consistent with the first failed part number or may be the first failed part number is included). For example, the first invalid piece number is WB-B, then as long as the customer piece number containing WB-B is the first customer piece number, the corresponding customer piece number may be: WB-B, WB-B-C, etc. The accurate matching is to use the customer number completely consistent with the second invalid piece number as a second customer piece number, namely, the second invalid piece number is used as a keyword to search in standard customer information, and as long as the customer piece number which is equal to the keyword is searched (the customer piece number is completely consistent with the second invalid piece number), the second customer piece number is the second customer piece number, and it is understood that the first customer piece number comprises the second customer piece number, the first customer piece number and the second customer piece number are fuzzy matching results, and the first customer piece number and the second customer piece number in the standard customer information are removed, so that the workload can be effectively reduced, and the data processing efficiency can be improved.
According to the method and the device, the invalid piece number in the standard customer information is subjected to fuzzy matching through the invalid piece number which needs fuzzy matching in the invalid piece number, the invalid piece number which needs accurate matching is subjected to accurate matching on the customer piece number in the standard customer information, and the invalid piece number in the standard customer information, namely the piece number which does not need subsequent processing, is determined, so that the data processing amount can be reduced, and the data processing efficiency is improved.
S102, extracting the effective information based on a preset second rule, and determining lower-level information of the effective information.
In this embodiment, the preset second rule is the number of lower level information that needs to be extracted least for each piece of effective information determined in advance according to the historical user information, and the lower level information of the effective information is selectively extracted according to the preset second rule, so that the data processing amount is reduced, and the production efficiency is indirectly improved.
In the actual processing production process, when processing enterprises process customer orders, some parameters given by customers are not necessarily all used, and the workload is definitely increased when all parameters given by customers are extracted and then the processing production is carried out, so that the processing time is prolonged, for example, a table is produced, the parameters given by the customers comprise a table top height, a table top thickness, a table leg length and the like, wherein the table leg length is the parameters which are not required to be extracted, and the table leg length can be obtained in the production process according to the table top height and the table top thickness, and only the table top height and the table top thickness are extracted at the moment.
Specifically, extracting the effective information based on a preset second rule, and determining the subordinate information of the effective information includes: limiting the quantity of the lower-level information of the effective information according to a preset second rule, and determining the limiting quantity of the lower-level information of the effective information; acquiring the importance of all extractable information of the effective information; the extractable information is extracted based on a defined number in order of importance of the extractable information from high to low, and the lower level information is determined.
In this embodiment, the extractable information is parameter information included in the effective information, including parameter type, specification and parameter value, and the importance is determined according to an extractable information-importance table, where the extractable information-importance table includes all the extractable information and the corresponding importance, and the importance of the corresponding extractable information can be determined according to the extractable information, so that the setting is completed in advance.
And S103, acquiring the parameter types of the subordinate information, and selecting a corresponding mode to match the bill of materials library according to the parameter types to obtain a bill of materials corresponding to the customer information.
In the present embodiment, the parameter types include: the parameters of the elevator lamp box support structure length are not changed along with the elevator structure change, namely the parameters of the elevator lamp box support structure length are changed along with the elevator structure change, namely the parameters of the elevator car top height and the like are changed along with the elevator height change, namely the parameters are changed, the bill of materials library comprises all client part numbers, parameters and sub bill of materials, the bill of materials library is matched in a corresponding mode according to different parameter types, the sub bill of materials of lower-level information can be rapidly determined, a foundation is laid for subsequent production, and the production efficiency is indirectly improved.
Specifically, the method for obtaining the parameter type of the lower level information, selecting a corresponding mode to match a bill of materials library according to the parameter type, and obtaining the sub bill of materials of the lower level information comprises the following steps: when the parameter type of the lower level information is the fixed parameter, the bill of materials corresponding to the client information is obtained by directly matching the bill of materials library according to the client number of the lower level information or matching the bill of materials library according to the client number and the parameter of the lower level information.
In this embodiment, if the matching is unsuccessful, the bill of materials library is matched according to a mode other than the fixed parameter.
For example, the client number of the lower information bracket is HAA316BY, the corresponding parameters are parameters including supporting height, supporting width and the like, and the bill of materials of the corresponding bracket is grabbed through the bill of materials library if the bill of materials library has completely consistent information through matching the client number of HAA316BY with the parameter supporting height, supporting width and the like; if the subordinate information bracket only comprises the client part number HAA316BY, matching the bill of materials library through the client part number, and if the consistent client part number exists in the bill of materials library, capturing the bill of materials of the corresponding bracket through the bill of materials library.
And matching is carried out one by one, a bill of materials of the lower level information is obtained one by one, and finally all bill of materials of the client information are generated.
According to the method, the client number of the subordinate information of the fixed parameter type or the form of the client number and the parameter is matched with the bill of materials library, if the matching is consistent, the bill of materials of the subordinate information of the corresponding fixed parameter type exists in the bill of materials library, the fixed parameter is fixed, the mode is selected for matching, the bill of materials of the subordinate information can be rapidly determined, the data processing efficiency is improved, and the mode of changing the parameter is inapplicable due to the fact that the mode of changing the parameter exists.
Further, the method for obtaining the parameter type of the subordinate information, selecting a corresponding mode to match the bill of materials library according to the parameter type to obtain the bill of materials corresponding to the client information, further comprises the following steps: and when the parameter type of the lower level information is not a constant parameter, matching the bill of materials library according to the client number and the consumption of the lower level information, if the matching is successful, respectively verifying whether the client number and the bill of materials library of the corresponding effective information of the lower level information are consistent, and if the client number and the bill of materials library are consistent, obtaining the bill of materials corresponding to the client information.
In this embodiment, if there is an inconsistency, all of the customer numbers in the direction from where the inconsistency was initiated are regenerated.
For example, the client number HAA347ANL of the channel steel formed by the lower level information is variable, the corresponding parameters include weight, size and the like, the consumption is 2, the client number of the corresponding effective information of the lower level information is HAA271, the client number HAA347ANL and the consumption are matched with a material database firstly, if the material database has consistent information, whether the client number HAA271 of the corresponding effective information of the lower level information is consistent with the material database is verified, whether the parameters of the lower level information are consistent with a bill of materials library is verified, and if the parameters are consistent with the bill of materials of the corresponding formed channel steel is obtained, a bill of materials of the corresponding formed channel steel is obtained through the bill of materials library. If the parameters of the lower-level information are inconsistent with the bill of materials library, regenerating the client number of the lower-level information and the client number of the effective information corresponding to the parameters from the upper side to the lower-level information; if the client number of the effective information corresponding to the lower-level information is inconsistent with the bill of materials library, only the client number of the effective information corresponding to the lower-level information is regenerated, and matching verification is performed again.
And matching is carried out one by one, a bill of materials of the lower level information is obtained one by one, and finally all bill of materials of the client information are generated.
According to the method, the client number and the consumption of the subordinate information of the variable parameter type are matched with the bill of materials library, when the matching is successful, finer verification is performed again, the matching of the client number of the subordinate information is impossible because the parameters of the subordinate information of the variable parameter type are changed, the matching is possible to be successful, but the matched bill of materials is not needed at the moment, and the matching accuracy is improved.
Fig. 2 is a block diagram of a management system for metal forming processing resources according to an embodiment of the present application.
As shown in fig. 2, the metal forming process resource management system 200 mainly includes:
the effective information determining module 201 identifies the client information in a fuzzy matching mode according to a preset bill of materials model and a preset first rule, and determines effective information in the client information, wherein the preset first rule is set according to the mapping relation of the associated names;
the lower level information determining module 202 extracts the effective information based on a preset second rule, and determines lower level information of the effective information, wherein the preset second rule is obtained according to historical user information, and the lower level information is parameter information of the effective information;
the bill of materials determining module 203 obtains the parameter type of the subordinate information, and selects a corresponding mode to match the bill of materials library according to the parameter type to obtain the bill of materials corresponding to the customer information.
In one possible implementation manner of this embodiment of the present application, the effective information determining module 201 is further specifically configured to identify, according to a preset bill of materials model and a preset first rule, the client information in a fuzzy matching manner, and determine effective information in the client information, where the determining includes: generating a client template according to a preset first rule; converting the client information according to the client template, and determining standard client information; fuzzy matching is carried out on the client numbers in the standard client information according to the invalid number list, and the invalid number list is obtained according to the historical user information and is stored in a preset bill of materials model; removing the invalid piece number in the standard customer information according to the fuzzy matching result; matching the client number in the standard client information after the invalid client number is removed according to a preset bill of materials model; and comparing the data of the client number in the matched standard client information with corresponding data in a preset bill of materials model to obtain effective information.
In one possible implementation manner of this embodiment of the present application, the valid information determining module 201 is further specifically configured to perform fuzzy matching on a client number in standard client information according to a invalid client number list, including: acquiring a first invalidation piece number needing fuzzy matching in an invalidation piece number list; and carrying out fuzzy matching on the client numbers in the standard client information according to the first invalid part numbers, and determining all the first client numbers containing the first invalid part numbers.
In one possible implementation manner of the embodiment of the present application, the effective information determining module 201 is further specifically configured to: acquiring a second invalidation piece number which needs to be accurately matched in the invalidation piece number list; and carrying out accurate matching on the client numbers in the standard client information according to the second invalid part numbers, and determining all second client numbers containing the second invalid part numbers.
In one possible implementation manner of this embodiment of the present application, the subordinate information determining module 202 is further specifically configured to extract the effective information based on a preset second rule, determine subordinate information of the effective information, and include: limiting the quantity of the lower-level information of the effective information according to a preset second rule, and determining the limiting quantity of the lower-level information of the effective information; acquiring the importance of all extractable information of the effective information; the extractable information is extracted based on a defined number in order of importance of the extractable information from high to low, and the lower level information is determined.
In one possible implementation manner of the embodiment of the present application, the bill of materials determining module 203 is further specifically configured to obtain a parameter type of the lower level information, select a corresponding mode according to the parameter type, match the bill of materials library, obtain a bill of materials corresponding to the customer information, and include: when the parameter type of the lower level information is the fixed parameter, the bill of materials corresponding to the client information is obtained by directly matching the bill of materials library according to the client number of the lower level information or matching the bill of materials library according to the client number and the parameter of the lower level information.
In one possible implementation manner of the embodiment of the present application, the bill of materials determining module 203 is further specifically configured to obtain a parameter type of the lower level information, select a corresponding mode according to the parameter type, match the bill of materials library, obtain a bill of materials corresponding to the customer information, and further include: and when the parameter type of the lower level information is not a constant parameter, matching the bill of materials library according to the client number and the consumption of the lower level information, if the matching is successful, respectively verifying whether the client number and the bill of materials library of the corresponding effective information of the lower level information are consistent, and if the client number and the bill of materials library are consistent, obtaining the bill of materials corresponding to the client information.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The embodiment of the application also describes an electronic device from the perspective of the entity apparatus, as shown in fig. 3, the electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method of managing metal forming process resources, comprising:
identifying customer information in a fuzzy matching mode according to a preset bill of materials model and a preset first rule, and determining effective information in the customer information, wherein the preset first rule is set according to a mapping relation of associated names;
extracting the effective information based on a preset second rule, and determining lower-level information of the effective information, wherein the preset second rule is obtained according to historical user information, and the lower-level information is parameter information of the effective information;
and acquiring the parameter type of the subordinate information, and selecting a corresponding mode to match a bill of materials library according to the parameter type to obtain a bill of materials corresponding to the client information.
2. The method according to claim 1, wherein the identifying the customer information by fuzzy matching according to the preset bill of materials model and the preset first rule, and determining the valid information in the customer information, comprises:
generating a client template according to the preset first rule;
converting the client information according to the client template to determine standard client information;
fuzzy matching is carried out on the client numbers in the standard client information according to a failure number list, and the failure number list is obtained according to the historical user information and is stored in the preset bill of materials model;
removing the invalid piece number in the standard customer information according to the fuzzy matching result;
matching the client number in the standard client information after the invalid client number is removed according to the preset bill of materials model;
and comparing the matched data of the client number in the standard client information with the corresponding data in the preset bill of materials model to obtain the effective information.
3. The method of claim 2, wherein said fuzzy matching of customer numbers in said standard customer information based on a list of failed customer numbers comprises:
acquiring a first invalidation piece number needing fuzzy matching in the invalidation piece number list;
and carrying out fuzzy matching on the client numbers in the standard client information according to the first invalid piece numbers, and determining all first client numbers containing the first invalid piece numbers.
4. The method according to claim 2, wherein the method further comprises:
acquiring a second invalid piece number which is required to be accurately matched in the invalid piece number list;
and according to the second invalid piece number, carrying out accurate matching on the piece numbers of the clients in the standard client information, and determining all second client pieces containing the second invalid piece number.
5. The method of claim 1, wherein the extracting the valid information based on the preset second rule, determining the subordinate information of the valid information, comprises:
limiting the quantity of the lower-level information of the effective information according to the preset second rule, and determining the limiting quantity of the lower-level information of the effective information;
acquiring the importance of all extractable information of the effective information;
and extracting the extractable information according to the order of the importance of the extractable information from high to low based on the limited quantity, and determining the subordinate information.
6. The method according to claim 1, wherein the obtaining the parameter type of the subordinate information, selecting a corresponding manner to match a bill of materials library according to the parameter type, and obtaining the bill of materials corresponding to the customer information includes:
and when the parameter type of the lower information is a fixed parameter, directly matching the bill of materials library according to the client number of the lower information, or matching the bill of materials library according to the client number and the parameter of the lower information, and obtaining the bill of materials corresponding to the client information.
7. The method of claim 1, wherein the obtaining the parameter type of the subordinate information, selecting a corresponding manner to match a bill of materials library according to the parameter type, and obtaining a bill of materials corresponding to the customer information, further comprises:
and when the parameter type of the lower information is not a constant parameter, matching the bill of materials library according to the client number and the consumption of the lower information, if the matching is successful, respectively verifying whether the client number of the corresponding effective information of the lower information is consistent with the bill of materials library, and whether the lower information is consistent with the bill of materials library, and if so, obtaining the bill of materials corresponding to the client information.
8. A system for managing metal forming process resources, comprising:
the effective information determining module is used for identifying the client information in a fuzzy matching mode according to a preset bill of materials model and a preset first rule, and determining the effective information in the client information, wherein the preset first rule is set according to the mapping relation of the associated names;
the lower-level information determining module is used for extracting the effective information based on a preset second rule, determining lower-level information of the effective information, wherein the preset second rule is obtained according to historical user information, and the lower-level information is parameter information of the effective information;
and the bill of materials determining module acquires the parameter type of the subordinate information, and selects a corresponding mode to match a bill of materials library according to the parameter type to obtain a bill of materials corresponding to the client information.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is adapted to perform the method of any of the preceding claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer is caused to perform the method according to any one of claims 1-7 when the computer program is executed in the computer.
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