Full life cycle management method and system

Abstract

The invention provides a full life cycle management method and system. The method comprises the following steps: coding a material based on attribute information of the material to obtain a material number; the multiple materials can be integrated based on a set equipment assembly template to obtain equipment; determining the state information of the material, and binding the state information with the material number; determining a quality parameter calculation rule corresponding to the material based on the attribute information of the material; determining a quality parameter corresponding to the material based on the quality parameter calculation rule and the state information; and inputting the quality parameters into a preset quality control model for data analysis, and generating a full-life-cycle file corresponding to the material, so that statistical analysis can be performed by using existing data, and meanwhile, the quality states of the material and the equipment can be monitored, traced and predicted in real time.

Description

Technical Field

[0001] The present application relates to full life cycle management technology, and in particular to a full life cycle management method and system. Background Art

[0002] The current full life cycle management method only includes product design, process design, manufacturing, user services and recycling. The full life cycle management method is limited to recording equipment data in the manufacturing sector. It is unable to use existing data for statistical analysis, nor is it able to conduct a comprehensive evaluation of materials and equipment and output quality predictions for materials and equipment. The existing full life cycle management method has the problem of being unable to use existing data for statistical analysis, and also the problem of being unable to monitor, trace and predict the quality status of materials and equipment in real time. Summary of the invention

[0003] The embodiments of the present application provide a full life cycle management method and system to solve one or more problems existing in the related art.

[0004] According to the first aspect of the present application, a full life cycle management method is provided, the method comprising: encoding the material based on the material's attribute information to obtain a material number; a plurality of the materials can be integrated to obtain equipment based on a set equipment assembly template; determining the material's status information, and binding the status information to the material number; determining a quality parameter calculation rule corresponding to the material based on the material's attribute information; determining the quality parameters corresponding to the material based on the quality parameter calculation rule and the status information; inputting the quality parameters into a preset quality control model for data analysis to generate a full life cycle file corresponding to the material.

[0005] According to one embodiment of the present application, determining the status information of the material includes: receiving attribute information of the material sent by a mobile terminal device; the attribute information includes at least: material type, material batch, material quantity, material version and arrival date; obtaining business process information of the mobile terminal device; defining the status information of the material based on the business process information and the attribute information; the status information includes one of the following: material initial creation status, material quality inspection passed warehousing status, material quality inspection failed status, equipment semi-finished product status, material requisition status, material scrap status and material maintenance status.

[0006] According to an implementation mode of the present application, determining the quality parameter calculation rules corresponding to the material based on the attribute information of the material includes: obtaining a plurality of the quality parameter calculation rules preset in a quality control calculation rule server; determining the corresponding quality parameter calculation rules in the quality control calculation rule server based on the material type included in the attribute information of the material; the quality parameter calculation rules include at least: material quality parameter calculation rules, production and assembly quality parameter calculation rules, maintenance and scrap quality parameter calculation rules, and inventory quality parameter calculation rules.

[0007] According to an embodiment of the present application, determining the quality parameters corresponding to the material based on the quality parameter calculation rules and the status information includes at least one of the following: determining the material status corresponding to the material based on the status information, and determining the quality parameters corresponding to the material based on the material quality parameter calculation rules and the material status; determining the equipment status of the equipment based on the set equipment assembly template and the status information, and determining the quality parameters corresponding to the material based on the production assembly quality parameter calculation rules, the equipment assembly template and the equipment status; determining the material return information corresponding to the material and the equipment return information corresponding to the equipment based on the status information, and determining the quality parameters corresponding to the material based on the maintenance and scrapping quality parameter calculation rules, the material return information and the equipment return information; determining the quality parameters corresponding to the material based on the status information, a preset expected sales quantity, a preset product inventory threshold and a preset material inventory threshold.

[0008] According to an embodiment of the present application, the inputting of the quality parameters into a preset quality control model for data analysis includes at least one of the following: performing data statistics on all quality parameters, generating a quality parameter table of the material and determining a quality evaluation report of the supplier corresponding to the material based on the quality parameter table; in response to the quality parameter being less than a set inventory threshold, generating a production plan report based on the quality parameter and historical quality parameters; in response to the quality parameter satisfying a set abnormal condition, generating an abnormal warning instruction corresponding to the abnormal condition; based on the quality parameters corresponding to the equipment, generating an equipment maintenance plan corresponding to the quality parameter; in response to quality defects in materials of the same batch of the material, generating a material recovery and traceability report; in response to a received data call instruction, outputting the quality parameter corresponding to the data call instruction; based on the status information of the equipment and the quality parameter, determining the maintenance expectations of the equipment and generating a maintenance report corresponding to the equipment based on the usage of the equipment and the maintenance expectations.

[0009] According to a second aspect of the present application, a full life cycle management system is provided, comprising: an acquisition module and an analysis module; the acquisition module comprises an encoding unit and a barcode parsing unit; the encoding unit is used to encode the material based on the attribute information of the material to obtain a material number; a plurality of the materials can be integrated to obtain a device based on a set assembly template; the barcode parsing unit is used to determine the status information of the material and bind the status information to the material number; the analysis module comprises: a rule determination unit, a parameter calculation unit and a data analysis unit; the rule determination unit is used to determine the quality parameter calculation rule corresponding to the material based on the attribute information of the material; the parameter calculation unit is used to determine the quality parameters corresponding to the material based on the quality parameter calculation rule and the status information; the data analysis unit is used to input the quality parameters into a preset quality control model for data analysis to generate a full life cycle file corresponding to the material.

[0010] According to one embodiment of the present application, the barcode parsing unit is used to: receive attribute information of the material sent by a mobile terminal device; the attribute information includes at least: material type, material batch, material quantity, material version and arrival date; obtain business process information of the mobile terminal device; based on the business process information and the attribute information, define the status information of the material; the status information includes one of the following: material initial creation status, material quality inspection passed warehousing status, material quality inspection failed status, equipment semi-finished product status, material collection status, material scrap status and material maintenance status.

[0011] According to one embodiment of the present application, the rule determination unit includes a quality control calculation rule server, and the quality control calculation rule server is used to: obtain a plurality of preset quality parameter calculation rules; determine the corresponding quality parameter calculation rules based on the material type included in the attribute information of the material; the quality parameter calculation rules include at least: material quality parameter calculation rules, production and assembly quality parameter calculation rules, maintenance and scrap quality parameter calculation rules and inventory quality parameter calculation rules.

[0012] According to one embodiment of the present application, the parameter calculation unit includes at least one of the following: a material management server, used to determine the material status corresponding to the material based on the status information, and determine the quality parameters corresponding to the material based on the material quality parameter calculation rules and the material status; a production assembly server, used to determine the equipment status of the equipment based on the set equipment assembly template and the status information, and determine the quality parameters corresponding to the material based on the production assembly quality parameter calculation rules, the equipment assembly template and the equipment status; a maintenance and scrap management server, used to determine the material return information corresponding to the material and the equipment return information corresponding to the equipment based on the status information, and determine the quality parameters corresponding to the material based on the maintenance and scrap quality parameter calculation rules, the material return information and the equipment return information; an inventory management server, used to determine the quality parameters corresponding to the material based on the status information, a preset expected sales quantity, a preset product inventory threshold and a preset material inventory threshold.

[0013] According to one embodiment of the present application, the data analysis unit includes a quality control computing server, which is used for at least one of the following: performing data statistics on all quality parameters, generating a quality parameter table of the material and determining a quality evaluation report of the supplier corresponding to the material based on the quality parameter table; in response to the quality parameter being less than a set inventory threshold, generating a production plan report based on the quality parameter and historical quality parameters; in response to the quality parameter satisfying a set abnormal condition, generating an abnormal warning instruction corresponding to the abnormal condition; based on the quality parameter corresponding to the equipment, generating an equipment maintenance plan corresponding to the quality parameter; in response to quality defects in materials of the same batch of the material, generating a material recovery and traceability report; in response to a received data call instruction, outputting the quality parameter corresponding to the data call instruction; based on the status information of the equipment and the quality parameter, determining the maintenance expectations of the equipment and generating a maintenance report corresponding to the equipment based on the usage of the equipment and the maintenance expectations.

[0014] The method of the embodiment of the present application encodes the material based on the material's attribute information to obtain a material number; a plurality of the materials can be integrated to obtain equipment based on a set equipment assembly template; the status information of the material is determined, and the status information is bound to the material number; based on the material's attribute information, a quality parameter calculation rule corresponding to the material is determined; based on the quality parameter calculation rule and the status information, the quality parameters corresponding to the material are determined; the quality parameters are input into a preset quality control model for data analysis, and a full life cycle file corresponding to the material is generated. In this way, statistical analysis can be performed using existing data, and the quality status of materials and equipment can be monitored, traced and predicted in real time.

[0015] It should be understood that the teachings of the present application are not required to achieve all of the beneficial effects described above, but specific technical solutions can achieve specific technical effects, and other embodiments of the present application can also achieve beneficial effects not mentioned above. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present application will become readily understood. In the accompanying drawings, several embodiments of the present application are shown in an exemplary and non-limiting manner, wherein:

[0017] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts.

[0018] Figure 1 The process flow diagram of the full life cycle management method provided by the embodiment of the present application is shown as follows Figure 1 ;

[0019] Figure 2 The process flow diagram of the full life cycle management method provided by the embodiment of the present application is shown as follows Figure 2 ;

[0020] Figure 3 The process flow diagram of the full life cycle management method provided by the embodiment of the present application is shown as follows Figure 3 ;

[0021] Figure 4 The process flow diagram of the full life cycle management method provided by the embodiment of the present application is shown as follows Figure 4 ;

[0022] Figure 5 The process flow diagram of the full life cycle management method provided by the embodiment of the present application is shown as follows Figure 5 ;

[0023] Figure 6 An application scenario diagram of the full life cycle management method provided by an embodiment of the present application is shown;

[0024] Figure 7 Another application scenario diagram of the full life cycle management method provided by an embodiment of the present application is shown;

[0025] Figure 8 Another application scenario diagram of the full life cycle management method provided by the embodiment of the present application is shown;

[0026] Fig. 9 An optional schematic diagram of a full life cycle management device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0027] In order to make the purpose, features, and advantages of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0028] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0029] In the following description, the terms "first\second" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0031] The processing flow in the full life cycle management method provided in the embodiment of the present application is described. Figure 1 , Figure 1 This is a schematic diagram of the processing flow of the full life cycle management method provided in the embodiment of the present application. Figure 1 , will combine Figure 1 Steps S101-S105 are shown for explanation.

[0032] Step S101, encoding the material based on the material attribute information to obtain the material number; multiple materials can be integrated to obtain equipment based on a set equipment assembly template.

[0033] In some embodiments, the attribute information of the material may include attribute information such as material type, material batch, quantity, material version and arrival date. The attribute information of the material may also include other attribute information, which is not limited in the embodiments of the present application. The material number corresponds to the material one-to-one. The barcode definition rule server may include a barcode definition rule. The barcode definition rule may be used to generate a barcode corresponding to the material code. Among them, the barcode may include a one-dimensional barcode and a two-dimensional code. The barcode may also be other barcodes, which are not limited in the embodiments of the present application. The barcode definition rule server may be used to store and maintain barcode definition rules to meet the normative requirements of different types of materials. The material code corresponds to the barcode one-to-one. The barcode may be pasted on the surface of the material. The device may be a whole assembled from multiple materials based on a set device assembly template, usually with a specific function or purpose. The device may be a combination of different types such as machinery, electronics and software. The device assembly template may include: a pre-set standardized document or physical template. The device assembly template may be used for each step of device assembly. The device assembly template may specifically include materials, tools and operation sequence required for device assembly.

[0034] Step S102, determine the status information of the material, and bind the status information to the material number.

[0035] In some embodiments, material status information can be used to characterize the specific conditions of materials at different stages such as production, storage, use and maintenance. The status information may include one of the following: the initial creation status of the material, the warehousing status after passing the quality inspection of the material, the status of the material failing the quality inspection, the semi-finished equipment status, the material collection status, the material scrap status and the material maintenance status. The material number of the material can be determined by scanning the barcode affixed to the material with a mobile terminal device, and the status information of the material can be determined based on the attribute information corresponding to the material number, and the status information can be bound to the material number. The binding relationship between the status information and the material code is stored in the inventory management server, and the status information, attribute information and related information of the material can be tracked through the inventory management server.

[0036] Step S103: determining the quality parameter calculation rules corresponding to the material based on the attribute information of the material.

[0037] In some embodiments, the quality parameter calculation rules may include: material quality parameter calculation rules, production and assembly quality parameter calculation rules, maintenance and scrap quality parameter calculation rules, and inventory quality parameter calculation rules. The quality parameter calculation rules may be generated by the quality control calculation rule model according to the regulatory requirements of different types of materials.

[0038] Step S104, determining the quality parameters corresponding to the material based on the quality parameter calculation rules and the status information.

[0039] In some embodiments, the corresponding status information is determined according to the business process information of the material, and the material status, equipment status, material return information corresponding to the material, and equipment return information corresponding to the equipment can be determined according to the status information. The quality parameters may include the material entry qualification rate R mp , equipment rework rate, equipment warehousing inspection pass rate R p , production and assembly efficiency E p , Material maintenance rate R mm , Equipment maintenance rate R pm , Material scrap rate R ms , Equipment scrap rate R ps 、Time T when the device is used outside p 、Time T of materials being used outside m , production procurement plan quantity, production plan quantity and sales plan quantity.

[0040] Step S105, input the quality parameters into a preset quality control model for data analysis to generate a full life cycle file corresponding to the material.

[0041] In some embodiments, the full life cycle archive may include: full life cycle archive of materials and equipment, inventory planning, operation monitoring, equipment maintenance, data consulting and equipment repair.

[0042] The method of the embodiment of the present application realizes strict quality control of each business process from materials to finished equipment through material coding, real-time status information binding, dynamic quality parameter calculation and in-depth data analysis, improves the traceability efficiency of material and equipment quality problems, strengthens the prediction of material and equipment quality problems, uses QR code as a link and carrier, utilizes the Internet, Internet of Things and big data technology, establishes a connection network of the entire industrial chain from suppliers, production and manufacturing to consumers, optimizes the company's intelligent and digital management level, and analyzes existing data through quality control models and quality parameter calculation rules, which can quickly and accurately locate the causes of quality problems. The quality status of materials and equipment can be monitored, traced and predicted in real time, reducing operation and maintenance costs, improving production efficiency, and ultimately ensuring the quality of materials and equipment.

[0043] In some embodiments, the processing flow of the full life cycle management method is shown as follows: Figure 2 ,like Figure 2 As shown, the material status information determined in step S102 may specifically include:

[0044] Step S201, receiving the attribute information of the material sent by the mobile terminal device.

[0045] In this embodiment, the mobile terminal device may include a barcode scanning device and an application operation terminal. The mobile terminal device may scan the barcode attached to the surface of the material to obtain the material code. The mobile terminal device may determine the attribute information of the material according to the material code and send the attribute information.

[0046] Step S202: Acquire the service process information of the mobile terminal device.

[0047] In this embodiment, the business process information may include: material initialization, material quality inspection (pass or fail), semi-finished equipment (equipment assembly or equipment unloading), material collection, material return, material scrapping, equipment and materials (assembly of non-probes, assembly of probes, material installation or material unloading), equipment and serial codes (binding and unbinding), equipment quality inspection (pass or fail), equipment packaging, equipment warehousing, equipment cancellation of warehousing, equipment out of the warehouse, equipment maintenance and equipment scrapping. Each business process may correspond to one or more mobile terminal devices. Among them, material initialization, material quality inspection (pass or fail), semi-finished equipment (equipment assembly or equipment unloading), material collection, material return, material scrapping, equipment and materials (material installation or material unloading) can represent the business process of materials. Equipment and materials (assembly of non-probes or assembly of probes), equipment and serial codes (binding or unbinding), equipment quality inspection (pass or fail), equipment packaging, equipment warehousing, equipment cancellation of warehousing, equipment out of the warehouse, equipment maintenance, and equipment scrapping can represent the business process of equipment. The destinations of material collection may include: factories, hardware research and development departments, marketing departments, professional consulting departments, software development departments, and operation and implementation departments. Material collection may also include other collection destinations, which are not limited in the embodiments of this application. The destinations of material returns may include factories, hardware research and development departments, marketing departments, professional consulting departments, software development departments, and operation and implementation departments. Material returns may also include other return destinations, which are not limited in the embodiments of this application. The types of warehouses for equipment storage may include: new product warehouses, maintenance warehouses, and temporary testing warehouses.

[0048] Step S203, defining the status information of the material based on the business process information and attribute information.

[0049] In this embodiment, based on the business process information of the mobile terminal device, multiple status information corresponding to the business process information is determined, the attribute information of the material is identified, the status information of the material is determined from the multiple status information, and the status information of the material is bound to the material code.

[0050] As an example, the business process information of the scanning device includes material quality inspection, and the status information corresponding to the material quality inspection includes the material quality inspection passed warehousing status and the material quality inspection failed status. The attribute information of the material is identified, and based on the identified attribute information and the preset quality inspection standard, the status information of the material is defined as the material quality inspection passed warehousing status, and the material quality inspection passed warehousing status of the material is bound to the material code.

[0051] The method of the embodiment of the present application realizes strict quality control of each business process from materials to finished equipment through material coding, real-time status information binding, dynamic quality parameter calculation and in-depth data analysis, improves the traceability efficiency of material and equipment quality problems, strengthens the prediction of material and equipment quality problems, uses QR code as a link and carrier, utilizes the Internet, Internet of Things and big data technology, establishes a connection network of the entire industrial chain from suppliers, production and manufacturing to consumers, optimizes the company's intelligent and digital management level, and analyzes existing data through quality control models and quality parameter calculation rules, which can quickly and accurately locate the causes of quality problems. The quality status of materials and equipment can be monitored, traced and predicted in real time, reducing operation and maintenance costs, improving production efficiency, and ultimately ensuring the quality of materials and equipment.

[0052] In some embodiments, the processing flow of the full life cycle management method is shown as follows: Figure 3 ,like Figure 3 As shown, in step S103, based on the attribute information of the material, the quality parameter calculation rule corresponding to the material is determined, which may specifically include:

[0053] Step S301, obtaining a plurality of quality parameter calculation rules preset in a quality control calculation rule server.

[0054] Step S302: Based on the material type included in the material attribute information, a corresponding quality parameter calculation rule is determined in the quality control calculation rule server.

[0055] In this embodiment, the quality parameter calculation rules may include: material quality parameter calculation rules, production and assembly quality parameter calculation rules, maintenance and scrap quality parameter calculation rules, and inventory quality parameter calculation rules. The quality parameter calculation rules can be generated by the quality control calculation rule model according to the normative requirements of different types of materials. The quality control calculation rule server can also receive the quality parameter calculation rules sent by the mobile terminal device. Each material type can correspond to one or more quality parameter calculation rules. For each material type, the same or different quality parameter calculation rules can be corresponding in different business processes. The quality control calculation rule server can query the corresponding quality parameter calculation rules according to the material type.

[0056] The method of the embodiment of the present application realizes strict quality control of each business process from materials to finished equipment through material coding, real-time status information binding, dynamic quality parameter calculation and in-depth data analysis, improves the traceability efficiency of material and equipment quality problems, strengthens the prediction of material and equipment quality problems, uses QR code as a link and carrier, utilizes the Internet, Internet of Things and big data technology, establishes a connection network of the entire industrial chain from suppliers, production and manufacturing to consumers, optimizes the company's intelligent and digital management level, and analyzes existing data through quality control models and quality parameter calculation rules, which can quickly and accurately locate the causes of quality problems. The quality status of materials and equipment can be monitored, traced and predicted in real time, reducing operation and maintenance costs, improving production efficiency, and ultimately ensuring the quality of materials and equipment.

[0057] In some embodiments, the processing flow of the full life cycle management method is shown as follows: Figure 4 ,like Figure 4 As shown, the full life cycle management approach can also include:

[0058] Step S401, based on the attribute information of the material, determine the quality parameter calculation rules corresponding to the material.

[0059] The specific description of step S401 is the same as that of step S103 and will not be repeated here.

[0060] Step S402a, determining the material status corresponding to the material based on the status information.

[0061] In this embodiment, according to the material quality inspection passing entry status and the material quality inspection failing status included in the status information, the material quantity corresponding to the material quality inspection passing entry and the material quantity corresponding to the material quality inspection failing are determined. According to the material quantity corresponding to the material quality inspection passing entry and the material quantity corresponding to the material quality inspection failing entry, the material status corresponding to the material is determined.

[0062] Step S403a, determining the quality parameters corresponding to the material based on the material quality parameter calculation rules and the material status.

[0063] In this embodiment, the preset material quality parameter calculation rules and material status are input into the material management server, and the material management server calculates the quality parameters corresponding to the material according to the material quality parameter calculation rules, including the material entry qualification rate R mp .

[0064] Step S402b: determining the device status of the device based on the set device assembly template and status information.

[0065] In this embodiment, according to the semi-finished equipment status included in the status information, the business process information corresponding to the semi-finished equipment status is determined to include semi-finished equipment (equipment assembly or equipment unloading), equipment and materials (assembly of non-probes or assembly of probes), equipment quality inspection (pass or fail), equipment packaging, equipment warehousing, equipment warehousing cancellation, equipment out of the warehouse, equipment maintenance and equipment scrapping. According to the business process information corresponding to the semi-finished equipment, the number of equipment corresponding to each business process is determined. Then, according to the business process information corresponding to the semi-finished equipment and the corresponding preset equipment assembly template, the equipment status of the equipment is determined.

[0066] Step S403b, determining the quality parameters corresponding to the material based on the production assembly quality parameter calculation rules, the equipment assembly template and the equipment status.

[0067] In this embodiment, the preset production assembly quality parameter calculation rules, equipment assembly template and equipment status are input into the production assembly management server. The production assembly management server calculates the quality parameters corresponding to the equipment according to the production assembly quality parameter calculation rules, including: equipment rework rate, equipment warehousing inspection pass rate R p , production and assembly efficiency E p .

[0068] Step S402c, determining the material return information corresponding to the material and the equipment return information corresponding to the equipment based on the status information.

[0069] In this embodiment, according to the semi-finished equipment status, material collection status, material scrapping status and material maintenance status included in the status information, the business process information corresponding to the status information is determined, including material collection, material return, material scrapping, equipment and materials (assembly of non-probes, assembly of probes, material installation and material unloading), which is the control of the quantity and quality of materials; equipment and materials (assembly of non-probes, assembly of probes, material installation and material unloading), equipment and serial codes (binding and unbinding), equipment quality inspection (pass and fail), equipment packaging, equipment warehousing, equipment cancellation of warehousing, equipment out of the warehouse, equipment maintenance and equipment scrapping. Determine the number of equipment to be repaired and the number of materials to be repaired, as well as the number of equipment to be scrapped and the number of materials to be scrapped corresponding to each business process. According to the number of equipment to be repaired and the number of materials to be repaired, as well as the number of scrapped equipment and the number of scrapped materials, determine the material return information and equipment return information.

[0070] Step S403c, determining the quality parameters corresponding to the material based on the calculation rules for the quality parameters of the scrapped material, the material return information, and the equipment return information.

[0071] In this embodiment, the preset repair scrap quality parameter calculation rules, material return information and equipment return information are input into the repair scrap management server, and the repair scrap management server calculates the quality parameters including the material repair rate R according to the repair scrap quality parameter calculation rules. mm , Equipment maintenance rate R pm , Material scrap rate R ms , Equipment scrap rate R ps 、Time T when the device is used outside p 、Time T of materials being used outside m Among them, the quality parameters corresponding to the material include: material maintenance rate R mm , Material scrap rate R ms 、Time T of materials being used outside m The quality parameters of the equipment include: Equipment maintenance rate R pm , Equipment scrap rate R ps 、Time T when the device is used outside p .

[0072] Step S402d, determining the quality parameters corresponding to the material based on the status information, the preset expected sales quantity, the preset product inventory threshold and the preset material inventory threshold.

[0073] In this embodiment, the preset expected sales quantity, inventory thresholds of various products and inventory thresholds of various materials are input into the inventory management server, and the inventory management server calculates the quality parameters corresponding to the materials, including the production procurement plan quantity, the production plan quantity and the sales plan quantity.

[0074] The method of the embodiment of the present application realizes strict quality control of each business process from materials to finished equipment through material coding, real-time status information binding, dynamic quality parameter calculation and in-depth data analysis, improves the traceability efficiency of material and equipment quality problems, strengthens the prediction of material and equipment quality problems, uses QR code as a link and carrier, utilizes the Internet, Internet of Things and big data technology, establishes a connection network of the entire industrial chain from suppliers, production and manufacturing to consumers, optimizes the company's intelligent and digital management level, and analyzes existing data through quality control models and quality parameter calculation rules, which can quickly and accurately locate the causes of quality problems. The quality status of materials and equipment can be monitored, traced and predicted in real time, reducing operation and maintenance costs, improving production efficiency, and ultimately ensuring the quality of materials and equipment.

[0075] In some embodiments, the processing flow of the full life cycle management method is shown as follows: Figure 5 ,like Figure 5 As shown, the full life cycle management approach can also include:

[0076] Step S501, determining the quality parameters corresponding to the material based on the quality parameter calculation rules and status information.

[0077] The specific description of step S501 is the same as that of step S104 and will not be repeated here.

[0078] Step S502a, performing data statistics on all quality parameters, generating a quality parameter table for the material, and determining a quality evaluation report for the supplier corresponding to the material based on the quality parameter table.

[0079] In this embodiment, for the full life cycle archives of materials and equipment, a full life cycle archive corresponding to the material is established. Among them, the full life cycle archive includes the material life cycle and the equipment life cycle. Data statistics are collected for the quality parameters corresponding to the material, and added to the material life cycle of the full life cycle archive. Data statistics are collected for the quality parameters corresponding to the equipment, and added to the equipment life cycle of the full life cycle archive. Based on the contents in the full life cycle archive, a quality parameter table of the material is generated. A supplier file is established and the supplier is evaluated based on the quality parameter table of the material provided by the supplier, and a quality evaluation report of the supplier corresponding to the material is determined.

[0080] Step S502b, in response to the quality parameter being less than the set inventory threshold, generating a production plan report based on the quality parameter and the historical quality parameter.

[0081] In this embodiment, for inventory planning, the quality parameter may include the inventory quantity. The historical quality parameter may include historical sales data. When the inventory quantity included in the quality parameter of a material or equipment is lower than a preset inventory threshold, the historical sales data in the database is called to compare with the current sales data on a month-on-month or year-on-year basis to determine the change ratio between the data. According to the change ratio, the material procurement plan and equipment production plan included in the current production plan are updated, and an updated production plan report is generated.

[0082] Step S502c, in response to the quality parameter satisfying the set abnormal condition, generating an abnormal warning instruction corresponding to the abnormal condition.

[0083] In this embodiment, for operation monitoring, abnormal conditions may represent situations where one or more quality parameters exceed a preset acceptable range or standard. Abnormal conditions may include: equipment dimensions exceeding the tolerance range, material strength below the specified standard, abnormal fluctuations in the output power of the equipment, and vibration frequency of the equipment exceeding the safety threshold. Abnormal warning instructions may represent control instructions automatically issued in response to abnormalities in the detected quality parameters, which are used to remind users that quality parameters are abnormal. Abnormal warning instructions may include: notification of isolation of defective equipment or materials, triggering of a production line suspension procedure, and initiation of a review process for unqualified materials or equipment.

[0084] Step S502d: Based on the quality parameters corresponding to the equipment, generate an equipment maintenance plan corresponding to the quality parameters.

[0085] In this embodiment, for equipment maintenance, in order to prevent equipment failure, a maintenance file can be established for the equipment, and corresponding maintenance items can be set for different equipment. For example, the equipment maintenance plan can include equipment planned maintenance and equipment abnormal maintenance; for equipment planned maintenance, a corresponding reminder instruction is generated one week before the equipment needs on-site maintenance to prompt on-site operations; for equipment abnormal maintenance, when the quality parameters of the same batch of equipment of the equipment are abnormal, a corresponding reminder instruction is generated to prompt the equipment manager to conduct special monitoring of the relevant quality parameters.

[0086] Step S502e: in response to a quality defect in a material of the same batch, a material retrieval and traceability report is generated.

[0087] In this embodiment, for equipment maintenance, in order to prevent equipment failure, when quality defects occur in the same batch of materials included in the equipment, the materials included in the equipment can be traced back, and a corresponding traceability report can be generated based on the traceability situation to prompt the equipment manager to perform special monitoring of the relevant equipment and materials.

[0088] Step S502f, in response to the received data calling instruction, output the quality parameter corresponding to the data calling instruction.

[0089] In this embodiment, for data consultation, the call instruction may be a data call instruction for quality parameters issued by the mobile terminal device. The data call quality may also be a data call instruction for quality parameters input by the user. The data call instruction may also be other call instructions, which are not limited in the embodiment of the present application.

[0090] Step S502g: Based on the status information and quality parameters of the equipment, determine the maintenance expectations of the equipment and generate a maintenance report corresponding to the equipment based on the equipment usage and maintenance expectations.

[0091] In this embodiment, for equipment maintenance, based on the equipment status information, the maintenance information recorded in the maintenance node of each business process is obtained, and the maintenance expectation of the equipment is determined according to the maintenance information and quality parameters, and maintenance suggestions are provided. The maintenance report can be pushed to the mobile terminal device in the form of a schedule, and the maintenance report may include: equipment failure description, maintenance process record, replacement material list, cost analysis, performance test results after maintenance, and maintenance suggestions to prevent recurrence of failures.

[0092] The method of the embodiment of the present application realizes strict quality control of each business process from materials to finished equipment through material coding, real-time status information binding, dynamic quality parameter calculation and in-depth data analysis, improves the traceability efficiency of material and equipment quality problems, strengthens the prediction of material and equipment quality problems, uses QR code as a link and carrier, utilizes the Internet, Internet of Things and big data technology, establishes a connection network of the entire industrial chain from suppliers, production and manufacturing to consumers, optimizes the company's intelligent and digital management level, and analyzes existing data through quality control models and quality parameter calculation rules, which can quickly and accurately locate the causes of quality problems. The quality status of materials and equipment can be monitored, traced and predicted in real time, reducing operation and maintenance costs, improving production efficiency, and ultimately ensuring the quality of materials and equipment.

[0093] refer to Figure 6 , an application scenario diagram of the full life cycle management method provided in the embodiment of the present application, and the system structure of the management software applied to the full life cycle of the equipment. The management software of the full life cycle of the equipment is applicable to drainage environment monitoring equipment such as liquid level meters, flow meters, water quality monitors, and meteorological monitors. The system structure of the management software of the full life cycle of the equipment may include: a data acquisition module 61, a data value analysis module 62, an application server 63, a database server 64, and a screen display terminal 65.

[0094] The data acquisition module 61 may include: a barcode scanning device, which is used to determine the material code according to the reflection result of the infrared light source emitted by the barcode scanning device, and bind the material number obtained by the barcode scanning device with the corresponding material state through wireless transmission and using the barcode analysis server. The barcode scanning device performs barcode scanning operations on the material under different material states, and finally returns the material number represented by the barcode. The binding relationship between the material number and the corresponding material state is stored in the database server 64.

[0095] The barcode analysis server is used to analyze the reflection results transmitted by the scanning device to obtain the material code, obtain the material type, material batch, quantity and arrival date and other attribute information of the material according to the material code, and display the attribute information on the screen display terminal 65

[0096] The application operation terminal is used for users to define various rules, carry out material entry and exit, adjust material status, trace material life cycle and related operations, and store data in the database server 64.

[0097] The data value analysis module 62 may include: a barcode definition rule server for storing and maintaining barcode definition rules to meet the regulatory requirements of different types of materials.

[0098] The full life cycle management server includes a material management server, an equipment assembly server, an equipment management server, and a warehouse management server; the material management server can query the inventory information, material list, and full life cycle of materials, and support the entry of material files; at the same time, by defining 7 states of materials and coordinating 15 business processes, the full life cycle management of materials is realized, and the data is stored in the database server 64; the equipment assembly server includes creating semi-finished product templates and creating equipment assembly templates, and supports querying equipment assembly lists, semi-finished product template lists, semi-finished product assembly lists, and equipment assembly template lists; among them, since the equipment is assembled from multiple materials, the equipment is modularly assembled and each material of the equipment is After modular decomposition, in order to decouple the business modules, each module is an independent one with no dependency between them, making the subsequent equipment maintenance, scrapping and material update and iteration more flexible; the equipment management server is used to query the equipment list and the entire life cycle of the equipment, enter the equipment quality inspection report, and store the data in the equipment quality inspection report in the database server 64 for the data value analysis model to call; the warehouse management server is used to query the factory's new equipment and factory's temporary test equipment, cooperate with the warehousing operations, stipulate the daily stock margin of each equipment, combine the market demand and stocking cycle, derive the production coefficient, and fluctuate according to quarterly fluctuations to achieve flexible production and timely call of equipment, and avoid economic losses caused by inventory backlogs or insufficient supply.

[0099] The quality control calculation rule server is used to store and maintain the quality parameters and calculation rules of different types of materials to adapt to the diversity of quality parameters of different types of materials and meet the consistency of calculation data.

[0100] The quality control calculation server is used to automatically calculate according to the quality parameters and calculation rules defined by the quality control calculation rule server, so as to obtain various indicators of equipment or materials, including the equipment or material warehousing inspection pass rate, parts processing defect rate, equipment or material defect rate, equipment or material scrap rate, equipment or material rework rate, quality cost and quality loss rate, etc. By comparing various quality parameters and their thresholds, early warning of quality problems of equipment or materials can be issued.

[0101] The application server 63 is used to interact with the data value analysis module 62 , the database server 64 and the screen display terminal 65 .

[0102] The database server 64 is used to store the real-time collected material information and the quality parameters after statistical calculation. The data is stored in a variety of different ways and the process data is recorded, which can avoid the wrong and missed data and realize the parameter reproduction of the production and storage process.

[0103] refer to Figure 7, another application scenario diagram of the full life cycle management method provided in an embodiment of the present application, and a business process description applied to the full life cycle management method of a device.

[0104] A batch of material A enters the factory. The material status information is defined as <Material Initial Creation>, and a unique barcode is assigned to each material according to the barcode definition rules. The material code corresponding to the barcode is used to record the material type, material batch, quantity, and arrival date of the material. According to the quality parameter calculation rules, the factory qualified rate R of this batch of materials is calculated. mp At this time, the status information of the qualified materials is changed to <Material quality inspection passed and entered into storage>, waiting for the subsequent material to be collected or scrapped; the status information of the unqualified materials is changed to <Material quality inspection failed>, waiting for the subsequent material to be repaired, returned or scrapped.

[0105] Material A and material B are assembled into semi-finished equipment α based on the preset equipment assembly template. At this time, the status information of materials A and B is changed to <semi-finished equipment>, waiting for the subsequent <equipment assembly>; the semi-finished equipment α is assembled with other materials to produce <finished equipment>. According to the number of equipment corresponding to the status information <finished equipment>, the equipment assembly efficiency E is determined according to the quality parameter calculation rules. p , at this time, the life cycle of material A and material B is bound to the life cycle of the finished equipment.

[0106] After the finished equipment has gone through the business process of <equipment quality inspection>, it is determined whether it meets the assembly conditions. If it passes the quality inspection, the equipment entry inspection pass rate R is determined according to the quality parameter calculation rules. p The finished equipment that fails the quality inspection enters the maintenance value judgment, and the judgment is successful to proceed to the <Equipment Maintenance> business process. In the <Equipment Maintenance> business process, the material maintenance rate R is calculated according to the quality parameter calculation rules. mm and equipment maintenance rate R pm If the judgment fails, the <Equipment Scrap> business process is carried out. In the <Equipment Scrap> business process, the material scrap rate R is calculated according to the quality parameter calculation rules. ms , Equipment scrap rate R ps ;

[0107] Equipment that has passed quality inspection will go through the business process of <Equipment Packaging>. If the version of material A needs to be updated at this time, the business process of <Material Unloading> can be carried out. After uninstallation and upgrading, the material will re-enter the business process of <Material Quality Inspection> until the business process of <Equipment Packaging>.

[0108] After the equipment is packaged, the business process of <equipment entry> is carried out. New equipment is put into the new equipment warehouse. If the equipment is returned for repair, it is put into the temporary test equipment warehouse. Among them, a cancellation entry instruction for the equipment can be received. In response to receiving the cancellation entry instruction, the corresponding equipment carries out the <equipment cancellation entry> business process, and the business process of the equipment returns to the <equipment packaging> business process.

[0109] When receiving the equipment outbound instruction, the <Equipment Outbound> business process is carried out for the equipment. After the equipment has carried out the <Equipment Outbound> business process, off-site monitoring is carried out and the monitoring data is uploaded in real time. When the monitoring data of the off-site monitoring equipment is abnormal and needs maintenance, the <Equipment Maintenance> business process is carried out.

[0110] After receiving the returned equipment, the factory scans the barcode corresponding to the equipment to determine the material number. The property information corresponding to the equipment determined based on the material changes includes: the length of time the equipment has been used outside, T p 、Time T of materials being used outside m .

[0111] Determine the warranty period of the equipment, provide a repair quotation for equipment outside the warranty period, synchronize it to the user, and perform equipment repair operations after receiving the repair instruction sent by the user; if the equipment is within the warranty period, proceed directly to repair; in the <Equipment Repair> business process, perform the <Material Unloading> business process for the faulty material, and record the repair information at each maintenance node.

[0112] refer to Figure 8 , another application scenario diagram of the full life cycle management method provided in an embodiment of the present application is applied to the equipment full life cycle management matrix.

[0113] The quality control calculation rule server may include: a material management server, a production and assembly management server, a repair and scrap management server, and an inventory management server.

[0114] For the material management server, the preset material coding rules and material status are input into the material management server, and the material management server outputs the material entry qualification rate R mp .

[0115] For the production assembly management server, the preset equipment coding rules, equipment assembly template and equipment status are input into the production assembly management server, and the production assembly management server outputs the equipment rework rate and equipment warehousing inspection pass rate R p , production and assembly efficiency E p .

[0116] For the repair and scrap management server, the preset repair value judgment rules, material return information and equipment return information are input into the repair and scrap management server, and the repair and scrap management server outputs the material repair rate R mm , Equipment maintenance rate R pm , Material scrap rate R ms , Equipment scrap rate R ps 、Time T when the device is used outside p And the time the material is used outside T m .

[0117] For the inventory management server, the preset sales expected quantity, inventory thresholds of various products and inventory thresholds of various materials are input into the inventory management server, and the inventory management server outputs the production procurement plan quantity, production plan quantity and sales plan quantity.

[0118] The quality control model can call the output of the material management server, production and assembly management server, maintenance and scrap management server and inventory management server. The quality control model can be combined with environmental impact factors I e The output of the quality control calculation rule server is analyzed and outputted. Specifically, the output of the quality control model may include:

[0119] Collect data statistics on all quality parameters, generate a quality parameter table for the material, and determine the quality evaluation report for the supplier corresponding to the material based on the quality parameter table.

[0120] In response to the quality parameter being less than a set inventory threshold, a production planning report is generated based on the quality parameter and the historical quality parameter.

[0121] In response to the quality parameter satisfying the set abnormal condition, an abnormal warning instruction corresponding to the abnormal condition is generated.

[0122] Based on the quality parameters corresponding to the equipment, an equipment maintenance plan corresponding to the quality parameters is generated.

[0123] In response to the received data call instruction, a quality parameter corresponding to the data call instruction is output.

[0124] Based on the status information and quality parameters of the equipment, the maintenance progress of the equipment is determined and a maintenance report corresponding to the equipment is generated based on the maintenance progress.

[0125] The following is an exemplary structure of the software modules included in the full life cycle management system provided by the embodiment of the present application. In some embodiments, Fig. 9As shown, the full life cycle management system may include: an acquisition module 91 and an analysis module 92; the acquisition module 91 includes a coding unit 901 and a barcode parsing unit 902; the coding unit 901 is used to encode the material based on the material's attribute information to obtain the material number; multiple materials can be integrated to obtain equipment based on the set assembly template; the barcode parsing unit 902 is used to determine the status information of the material and bind the status information to the material number; the analysis module includes 92: a rule determination unit 903, a parameter calculation unit 904 and a data analysis unit 905; the rule determination unit 903 is used to determine the quality parameter calculation rule corresponding to the material based on the material's attribute information; the parameter calculation unit 904 is used to determine the quality parameters corresponding to the material based on the quality parameter calculation rule and the status information; the data analysis unit 905 is used to input the quality parameters into a preset quality control model for data analysis to generate a full life cycle file corresponding to the material.

[0126] In some embodiments, the barcode parsing unit 902 can be used to: receive attribute information of materials sent by a mobile terminal device; the attribute information includes at least: material type, material batch, material quantity, material version and arrival date; obtain business process information of the mobile terminal device; based on the business process information and attribute information, define the status information of the material; the status information includes one of the following: initial creation status of the material, material quality inspection passed warehousing status, material quality inspection failed status, equipment semi-finished product status, material collection status, material scrap status and material maintenance status.

[0127] In some embodiments, the rule determination unit 903 includes a quality control calculation rule server 9031, and the quality control calculation rule server 9031 can be used to: obtain multiple preset quality parameter calculation rules; determine the corresponding quality parameter calculation rules based on the material type included in the material attribute information; the quality parameter calculation rules include at least: material quality parameter calculation rules, production and assembly quality parameter calculation rules, maintenance and scrap quality parameter calculation rules and inventory quality parameter calculation rules.

[0128] In some embodiments, the parameter calculation unit 904 includes at least one of the following: a material management server 9041, which can be used to determine the material status corresponding to the material based on the status information, and determine the quality parameters corresponding to the material based on the material quality parameter calculation rules and the material status; a production assembly server 9042, which can be used to determine the equipment status of the equipment based on the set equipment assembly template and status information, and determine the quality parameters corresponding to the material based on the production assembly quality parameter calculation rules, the equipment assembly template and the equipment status; a maintenance and scrap management server 9043, which can be used to determine the material return information corresponding to the material and the equipment return information corresponding to the equipment based on the status information, and determine the quality parameters corresponding to the material based on the maintenance and scrap quality parameter calculation rules, the material return information and the equipment return information; an inventory management server 9044, which can be used to determine the quality parameters corresponding to the material based on the status information, a preset expected sales quantity, a preset product inventory threshold and a preset material inventory threshold.

[0129] In some embodiments, the data analysis unit 905 includes a quality control computing server 9051, which can be used for at least one of the following: performing data statistics on all quality parameters, generating a quality parameter table for the material and determining a quality evaluation report for the supplier corresponding to the material based on the quality parameter table; in response to a quality parameter being less than a set inventory threshold, generating a production plan report based on the quality parameters and historical quality parameters; in response to the quality parameters meeting the set abnormal conditions, generating abnormal warning instructions corresponding to the abnormal conditions; based on the quality parameters corresponding to the equipment, generating an equipment maintenance plan corresponding to the quality parameters; in response to quality defects in the same batch of materials, generating a material recovery and traceability report; in response to a received data call instruction, outputting the quality parameters corresponding to the data call instruction; based on the equipment status information and quality parameters, determining the equipment's maintenance expectations and generating a maintenance report corresponding to the equipment based on the equipment's usage and maintenance expectations.

[0130] It should be noted that the description of the system in the embodiment of the present application is similar to the description of the method embodiment above, and has similar beneficial effects as the method embodiment, so it will not be repeated. Figures 1 to 8 The present invention can be understood by referring to the description of any one of the accompanying drawings.

[0131] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0132] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0133] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0134] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0135] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0136] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0137] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0138] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A full life cycle management method, characterized in that: include: The material is encoded based on the attribute information of the material to obtain a material number; a plurality of the materials can be integrated to obtain a device based on a set device assembly template; Determine the status information of the material, and bind the status information to the material number; Based on the attribute information of the material, determining a quality parameter calculation rule corresponding to the material; Determining the quality parameter corresponding to the material based on the quality parameter calculation rule and the status information; The quality parameters are input into a preset quality control model for data analysis to generate a full life cycle file corresponding to the material.

2. The method according to claim 1, characterized in that: Determining the status information of the material includes: Receiving the attribute information of the material sent by the mobile terminal device; the attribute information at least includes: material type, material batch, material quantity, material version and arrival date; Acquiring business process information of the mobile terminal device; Based on the business process information and the attribute information, define the status information of the material; The status information includes one of the following: material initial creation status, material quality inspection passed warehousing status, material quality inspection failed status, equipment semi-finished product status, material requisition status, material scrap status and material maintenance status.

3. The method according to claim 1, characterized in that The determining, based on the attribute information of the material, a quality parameter calculation rule corresponding to the material includes: Acquire a plurality of quality parameter calculation rules preset in the quality control calculation rule server; Based on the material type included in the attribute information of the material, determining a corresponding quality parameter calculation rule in the quality control calculation rule server; The quality parameter calculation rules at least include: material quality parameter calculation rules, production and assembly quality parameter calculation rules, maintenance and scrap quality parameter calculation rules and inventory quality parameter calculation rules.

4. The method according to claim 1, characterized in that The determining the quality parameter corresponding to the material based on the quality parameter calculation rule and the state information includes at least one of the following: Determine a material state corresponding to the material based on the state information, and determine a quality parameter corresponding to the material based on a material quality parameter calculation rule and the material state; Determine the equipment status of the equipment based on the set equipment assembly template and the status information, and determine the quality parameters corresponding to the material based on the production assembly quality parameter calculation rules, the equipment assembly template and the equipment status; Determine the material return information corresponding to the material and the equipment return information corresponding to the equipment based on the status information, and determine the quality parameters corresponding to the material based on the repair and scrap quality parameter calculation rules, the material return information and the equipment return information; Based on the status information, a preset expected sales quantity, a preset product inventory threshold, and a preset material inventory threshold, a quality parameter corresponding to the material is determined.

5. The method according to claim 1, characterized in that The step of inputting the quality parameters into a preset quality control model for data analysis includes at least one of the following: Performing data statistics on all quality parameters, generating a quality parameter table for the material, and determining a quality evaluation report for the supplier corresponding to the material based on the quality parameter table; In response to the quality parameter being less than a set inventory threshold, generating a production planning report based on the quality parameter and historical quality parameters; In response to the quality parameter satisfying a set abnormal condition, generating an abnormal warning instruction corresponding to the abnormal condition; Based on the quality parameters corresponding to the equipment, generating an equipment maintenance plan corresponding to the quality parameters; In response to a quality defect occurring in a material of the same batch of the material, generating a tracing report for the material; In response to the received data call instruction, output the quality parameter corresponding to the data call instruction; Based on the status information of the equipment and the quality parameter, the maintenance expectation of the equipment is determined, and a maintenance report corresponding to the equipment is generated based on the usage of the equipment and the maintenance expectation.

6. A full life cycle management system, characterized in that: include: Acquisition module and analysis module; The acquisition module includes an encoding unit and a barcode parsing unit; The encoding unit is used to encode the material based on the attribute information of the material to obtain a material number; a plurality of the materials can be integrated to obtain a device based on a set assembly template; The barcode parsing unit is used to determine the status information of the material and bind the status information to the material number; The analysis module includes: a rule determination unit, a parameter calculation unit and a data analysis unit; The rule determination unit is used to determine the quality parameter calculation rule corresponding to the material based on the attribute information of the material; The parameter calculation unit is used to determine the quality parameter corresponding to the material based on the quality parameter calculation rule and the status information; The data analysis unit is used to input the quality parameters into a preset quality control model for data analysis to generate a full life cycle file corresponding to the material.

7. The system according to claim 6, characterized in that The barcode parsing unit is used for: Receiving the attribute information of the material sent by the mobile terminal device; the attribute information at least includes: material type, material batch, material quantity, material version and arrival date; Acquiring business process information of the mobile terminal device; Based on the business process information and the attribute information, define the status information of the material; The status information includes one of the following: material initial creation status, material quality inspection passed warehousing status, material quality inspection failed status, equipment semi-finished product status, material requisition status, material scrap status and material maintenance status.

8. The system according to claim 6, characterized in that The rule determination unit includes a quality control calculation rule server, and the quality control calculation rule server is used to: Obtaining a plurality of preset quality parameter calculation rules; Determine a corresponding quality parameter calculation rule based on the material type included in the attribute information of the material; The quality parameter calculation rules at least include: material quality parameter calculation rules, production and assembly quality parameter calculation rules, maintenance and scrap quality parameter calculation rules and inventory quality parameter calculation rules.

9. The system according to claim 6, characterized in that The parameter calculation unit includes at least one of the following: A material management server, configured to determine a material state corresponding to the material based on the state information, and determine a quality parameter corresponding to the material based on a material quality parameter calculation rule and the material state; A production assembly server, configured to determine the equipment status of the equipment based on the set equipment assembly template and the status information, and determine the quality parameters corresponding to the material based on the production assembly quality parameter calculation rules, the equipment assembly template and the equipment status; A maintenance and scrapping management server, configured to determine, based on the status information, material return information corresponding to the material and equipment return information corresponding to the equipment, and determine, based on a maintenance and scrapping quality parameter calculation rule, the material return information and the equipment return information, the quality parameter corresponding to the material; The inventory management server is used to determine the quality parameters corresponding to the material based on the status information, the preset expected sales quantity, the preset product inventory threshold and the preset material inventory threshold.

10. The system according to claim 6, characterized in that The data analysis unit includes a quality control computing server, and the quality control computing server is used for at least one of the following: Performing data statistics on all quality parameters, generating a quality parameter table for the material, and determining a quality evaluation report for the supplier corresponding to the material based on the quality parameter table; In response to the quality parameter being less than a set inventory threshold, generating a production planning report based on the quality parameter and historical quality parameters; In response to the quality parameter satisfying a set abnormal condition, generating an abnormal warning instruction corresponding to the abnormal condition; Based on the quality parameters corresponding to the equipment, generating an equipment maintenance plan corresponding to the quality parameters; In response to a quality defect occurring in a material of the same batch of the material, generating a tracing report for the material; In response to the received data call instruction, output the quality parameter corresponding to the data call instruction; Based on the status information of the equipment and the quality parameter, the maintenance expectation of the equipment is determined, and a maintenance report corresponding to the equipment is generated based on the usage of the equipment and the maintenance expectation.

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