CN111047387B - Recovery management method and device - Google Patents
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Abstract
The application provides a recovery management method and a recovery management device, wherein the method comprises the following steps: receiving characteristic acquisition data of the object to be recovered, and converting the characteristic acquisition data into characteristic information data of the object to be recovered; obtaining the category of the object to be recovered; obtaining value data of the object to be recovered; generating a recycling transaction interface of the object to be recycled according to the value data and displaying the recycling transaction interface; receiving a recovery transaction success message of the object to be recovered, and tracking the recovered object based on the flow progress dynamic data; obtaining the refined treatment category of the object to be recovered; combining the flow progress dynamic data with the refinement processing category to generate a refinement processing instruction of the recovered object; and controlling to convey the recovered objects to corresponding positions of the corresponding fine processing warehouse according to the fine processing instructions to perform recovery processing. The invention realizes the recovery management with intellectualization, high efficiency and labor cost saving.
Description
Technical Field
The present application relates to the field of recycling technologies, and in particular, to a method and an apparatus for recycling management.
Background
With the rapid development of social economy, the pace of life of people is gradually accelerated, and the pace of updating and upgrading used objects is also accelerated, so that the recycling management of old objects gradually becomes a new industry. At present, the recovery of old articles is mainly managed and operated by a distributed market, the construction standardization degree of the distributed market is still different from the national policy requirements, the standardization, scale and intensification of a recovery system cannot be led and pulled, most functions of the distributed market are single, the distributed market is only limited in the collection, transaction and separation of renewable resources, an industrial chain is short, a deep processing and utilization industrial chain is not formed, a service platform is not built, the information, research and development, training, standards, finance and other service functions are lacked, the operation management is not standardized, the renewable resources are stacked in the open air, the occupied business is operated, and the distributed market is disassembled roughly.
A renewable resource recovery system is perfected, the utilization of a sales distribution network by traditional sales enterprises, e-commerce, logistics companies and the like is promoted, and a reverse logistics system is established; the method supports renewable resource enterprises to build an online and offline integrated recovery network by utilizing Internet and Internet of things technology and popularizing recovery machines, recovery supermarkets and other recovery modes according to local conditions; the cooperation of renewable resource enterprises and various waste-producing enterprises is encouraged, and the establishment of a recovery mode suitable for industrial characteristics is the urgent priority of the current recovery industry. In the existing recycling industry, recycling information is scattered and not concentrated, the recycling efficiency is improved, a large amount of manpower is needed for classification processing in management processing after recycling, personnel waste is greatly caused, and the recycling cost is increased. The small scattered characteristics of the recycling industry determine the diversity of recycled information data, a certain difficulty is caused in collecting information streams in various forms in a data collection stage, data channels are different, and a butt joint integration mode of data is also greatly challenged; the structure of multi-source recovery data is different, the processing modes are different, and finally, uniform specification output is difficult to realize.
Nowadays, network science and technology are highly developed, various online and offline recovery channels are derived, but the data forms of the recovery channels are different, the data types, data structures and data modules are different, the data cannot be aggregated and integrated in the prior art, the data of different frequencies and types are changed into high-frequency data information in the set, and the data cannot be shared, exchanged, integrated and reused to the maximum extent.
Therefore, how to provide a recovery management scheme with standardization, scale and intensification, low cost and high efficiency is a technical problem to be solved in the field.
Disclosure of Invention
The application aims to provide a recovery management method and a recovery management device, and the technical problems of no standardization, scale and intensification, low cost and high efficiency recovery management scheme in the prior art are solved.
To achieve the above object, the present application provides a recycling management method, including:
receiving feature acquisition data of an object to be recovered, and converting the feature acquisition data into feature information data of the object to be recovered in a preset standardized data conversion mode according to data features of the feature acquisition data; establishing identification information data of the object to be recovered according to the characteristic information data, and establishing and storing flow progress dynamic data of the object to be recovered based on the identification information data;
analyzing the characteristic information data in an analyzing, refining and collecting mode to obtain classification information data of the objects to be recovered, and comparing the classification information data with a preset classification strategy to obtain the classes of the objects to be recovered; according to the category and characteristic information data of the object to be recovered, comparing the category and characteristic information data with a preset category and characteristic information and object value corresponding strategy to obtain value data of the object to be recovered; generating a recycling transaction interface of the object to be recycled according to the value data and displaying the recycling transaction interface; receiving a recovery transaction success message of the object to be recovered, and tracking the recovered object based on the flow progress dynamic data;
comparing the value data with a preset corresponding strategy of the fine processing classification of the recovered object to obtain the fine processing classification of the object to be recovered; generating a refinement processing instruction of the recovered object according to the dynamic flow progress data and the refinement processing category; and controlling to convey the recovered objects to corresponding positions of a corresponding fine processing warehouse for recovery processing according to the fine processing instructions.
Optionally, the method includes receiving feature acquisition data of an object to be recovered, and converting the feature acquisition data into feature information data of the object to be recovered according to data features of the feature acquisition data in a preset standardized data conversion mode; comprises the following steps:
integrating to obtain a recycling information source database of the product according to the product sales platform, the product sales enterprise information and the product production enterprise information;
based on the identification equipment, the object to be recovered at least comprises product model, brand, form, size specification, fuselage characteristics, purchase age and product state data which are input by the input equipment through three-dimensional scanning, omnibearing shooting, weighing, identification number identification and/or receiving; obtaining characteristic acquisition data of the object to be recovered by contrasting with the recovery information source database;
and converting the data characteristics of the characteristic acquisition data into characteristic information data of the object to be recovered in a preset standardized data conversion mode.
Optionally, wherein the method further comprises:
receiving an object recovery order, analyzing the object recovery order to obtain characteristic information data and order user information of an object in the recovery order, and establishing recovery identification information of the object;
comparing the characteristic information data of the object with preset categories and corresponding strategies of the characteristic information and the object value to obtain value data of the object in the recovery order;
searching a recovery order receiving client side of the corresponding object classification nearby based on a preset order receiving strategy according to the characteristic information data and the order user information, and sending a recovery order of the object; receiving order receiving feedback of the recovery order receiving client, generating a corresponding recovery instruction according to the value data, the characteristic information data and the order user information of the object in the recovery order, and sending the recovery instruction to the recovery order receiving client;
and receiving the recovery transaction progress data of the recovery order receiving client, updating the flow progress dynamic data of the object corresponding to the recovery identification information, and storing the flow progress dynamic data.
Optionally, wherein the method further comprises:
integrating to obtain a recycling information source database of the product according to the product sales platform, the product sales enterprise information, the product production enterprise information, the maintenance point information, the household information, the property information and the community information;
based on the use duration of the object in the recovery information source database, obtaining the recovery state information of the object by contrasting with the life cycle in the object classification information, and when the recovery state of the object reaches or exceeds a recovery use duration threshold, obtaining the value data of the object according to the feature information data of the object;
and generating a recycling push message according to the feature information data, the value data and the user information of the object, and sending the recycling push message to the user of the object.
Optionally, wherein the method further comprises:
establishing a deep neural network processing model according to the characteristic information data, the classification information data, the value data and the refined processing instruction of the object to be recovered;
and receiving updated characteristic information data of the recovered object, inputting the characteristic information data into the deep neural network processing model to obtain the updated classification information data, value data and refined processing instructions of the recovered object, and outputting the classification information data, the value data and the refined processing instructions to corresponding processing interfaces.
In another aspect, the present invention further provides a recycling management apparatus, including: a recovery characteristic data receiving processor, a recovery characteristic data classifying processor and a recovery object sorting processor; wherein,
the recovery characteristic data receiving processor is connected with the recovery characteristic data classifying processor, receives characteristic acquisition data of the object to be recovered, and converts the characteristic acquisition data into characteristic information data of the object to be recovered in a preset standardized data conversion mode according to the data characteristics of the characteristic acquisition data; establishing identification information data of the object to be recovered according to the characteristic information data, and establishing and storing flow progress data of the object to be recovered based on the identification information data;
the recovery characteristic data classification processor is connected with the recovery characteristic data receiving processor and the recovery object sorting processor, analyzes the characteristic information data in an analyzing, refining and collecting mode to obtain classification information data of the object to be recovered, and compares the classification information data with a preset classification strategy to obtain the category of the object to be recovered; comparing the category and the characteristic information data of the object to be recovered with preset categories and preset strategies corresponding to the characteristic information and the object value to obtain value data of the object to be recovered; generating a recycling transaction interface of the object to be recycled according to the value data and displaying the recycling transaction interface; receiving a recovery transaction success message of the object to be recovered, and tracking the recovered object based on the flow progress dynamic data;
the recovery object sorting processor is connected with the recovery characteristic data classifying processor and is used for comparing the value data with a preset corresponding strategy of the fine treatment classification of the recovery object to obtain a fine treatment category of the object to be recovered; generating a refinement processing instruction of the recovered object according to the dynamic flow progress data and the refinement processing category; and controlling to convey the recovered objects to corresponding positions of a corresponding fine processing warehouse for recovery processing according to the fine processing instructions.
Optionally, wherein the recycled feature data receiving processor comprises: the system comprises a recovery information source database creating processor, a recovery characteristic data collector, a recovery characteristic data standardization converter and a process progress updating processor; wherein,
the recovery information source database creating processor is connected with the recovery characteristic data collector and the product source data platform and integrates the product sales platform, the product sales enterprise information and the product production enterprise information to obtain a recovery information source database of the product;
the recovery characteristic data collector is connected with the recovery information source database creating processor and the recovery characteristic data standardization converter, and is used for identifying through three-dimensional scanning, omnibearing photographing, weighing and identification number identification based on identification equipment and/or receiving input of input equipment, wherein the object to be recovered at least comprises the state data of the object to be recovered, such as the product model, the brand, the form, the size specification, the body characteristic, the purchasing age and the product state; obtaining characteristic acquisition data of the object to be recovered by contrasting with the recovery information source database;
the recovery characteristic data standardization converter is connected with the recovery characteristic data collector and the process progress updating processor and converts the data characteristics of the characteristic collected data into characteristic information data of the object to be recovered in a preset standardization data conversion mode;
the process progress updating processor is connected with the recovered characteristic data standardization converter and the recovered characteristic data classification processor, establishes identification information data of the object to be recovered according to the characteristic information data, and establishes and stores process progress dynamic data of the object to be recovered based on the identification information data.
Optionally, wherein the apparatus further comprises: a recovery order receiver, a recovery instruction sending processor and a recovery flow progress updating processor; wherein,
the recovery order receiver is connected with the recovery instruction sending processor, receives an object recovery order, analyzes the object recovery order to obtain characteristic information data and order user information of the object in the recovery order, and establishes recovery identification information of the object;
the recovery instruction sending processor is connected with the recovery characteristic data receiving processor, the recovery order receiver and the recovery process progress updating processor, and compares the characteristic information data of the object with preset categories, the preset category, the preset characteristic information and the object value corresponding strategy to obtain value data of the object in the recovery order;
according to the characteristic information data and the order user information, searching a recovery order receiving client side of the corresponding object classification nearby based on a preset order receiving strategy, and sending a recovery order of the object; receiving order receiving feedback of the recovery order receiving client, generating a corresponding recovery instruction according to the value data, the characteristic information data and the order user information of the object in the recovery order, and sending the recovery instruction to the recovery order receiving client;
and the recovery flow progress updating processor is connected with the recovery instruction sending processor, receives the recovery transaction progress data of the recovery order receiving client, updates the flow progress dynamic data of the object corresponding to the recovery identification information and stores the flow progress dynamic data.
Optionally, wherein the apparatus further comprises: the system comprises a recovery information source database creating processor, an object recovery state processor and an object recovery message pushing processor; wherein,
the recovery information source database creating processor is connected with the object recovery state processor and integrates the product recovery information source database according to the product sales platform, the product sales enterprise information, the product production enterprise information, the maintenance point information, the household information, the property information and the community information to obtain a product;
the object recovery state processor is connected with the recovery characteristic data classification processor, the recovery information source database creation processor and the object recovery message pushing processor, the recovery state information of the object is obtained by contrasting with the life cycle in the object classification information based on the use duration of the object in the recovery information source database, and the value data of the object is obtained according to the characteristic information data of the object when the recovery state of the object reaches or exceeds the threshold of the recovery use duration;
the object recovery message pushing processor is connected with the object recovery state processor, generates a recovery pushing message according to the feature information data, the value data and the user information of the object, and sends the recovery pushing message to the user of the object.
Optionally, wherein the apparatus further comprises: a recovery neural network creation processor and an intelligent recovery processor; wherein,
the recovery neural network creating processor is connected with the recovery characteristic data receiving processor, the recovery characteristic data classifying processor, the recovery object sorting processor and the intelligent recovery processor, and a deep neural network processing model is established according to the characteristic information data, the classification information data, the value data and the fine processing instruction of the object to be recovered;
the intelligent recovery processor is connected with the recovery neural network creating processor and the recovery characteristic data receiving processor, receives updated characteristic information data of the recovery object, inputs the deep neural network processing model to obtain the classification information data, the value data and the fine processing instruction of the updated recovery object, and outputs the classification information data, the value data and the fine processing instruction to the corresponding processing interface.
The method and the device for recycling management have the following beneficial effects:
(1) The recycling management method and the recycling management device collect the characteristic information of the object to be recycled based on the Internet, analyze the characteristic information to perform classification processing, evaluate the value of the object to be recycled, and perform secondary renting, selling and marketing drainage of the recycled object or convey the recycled object to a disassembling mechanism to perform disassembling processing. The online tracking, processing and tracing of the recycled materials are realized, the system functions include data statistics, order collection, warehousing detection, quality inspection disassembly and the like, the recycling efficiency is improved, and the recycling cost is reduced.
(2) According to the method and the device for recycling management, a convenient and efficient renewable resource recycling transaction service platform is established, information acquisition, data analysis and flow direction monitoring are carried out, logistics resources are integrated step by step, recycling network layout is optimized, a supply and demand party can obtain information matching rapidly, a renewable resource recycling system is perfected, and renewable resource transaction from off-line to on-line and off-line combination is promoted.
(3) The method and the device for recycling management can also set a recycling information registration system, and are open to consumers, product stores, product selling enterprises, product sale online stores and other people with recycling requirements. Through the registration of the recovery information and the information aggregation, the recovery source is provided for the recovery personnel, the squat recovery is changed into active order pushing, the traditional recovery industry mode is changed, and the recovery efficiency is improved.
(4) The method and the device for recycling management can be used for creating an intelligent waste product recycling transaction system platform based on information sources of data platforms cooperated by all parties by using the 'internet +', establishing a recycling product database, carrying out inference learning on various conditions generated by combining a deep neural network and an information fusion technology, and finally obtaining a deep learning-based hybrid fusion model. The data are output in a unified standard, data exchange, sharing and synchronization are carried out between the data sharing and exchanging mode and production enterprises, sales enterprises, household appliance stores and E-commerce platforms, and the accuracy of information interaction of all links of online and offline recycling is improved and the coupling degree of all the links of recycling is enhanced through sharing a comprehensive database and online and offline multi-source heterogeneous information deep processing module data.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a flow chart illustrating a recycling management method according to an embodiment of the present invention;
FIG. 2 is a system flow diagram illustrating a preferred method of recycling management in accordance with an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a second method for recycling management according to an embodiment of the present invention;
FIG. 4 is a schematic flowchart illustrating a recycling integrated database construction of a first recycling management method according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a third recycling management method according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart illustrating a fourth recycling management method according to an embodiment of the present invention;
FIG. 7 is a flowchart illustrating a fifth recycling management method according to an embodiment of the present invention;
FIG. 8 is a schematic flow chart of an online-offline multi-source heterogeneous data processing based on deep learning of a method for recycling management according to an embodiment of the present invention;
FIG. 9 is a schematic flowchart of a comprehensive database sharing process based on intelligent features of multi-source heterogeneous data in a recovery management method according to an embodiment of the present invention;
FIG. 10 is a diagram illustrating an exemplary recycling management apparatus according to an embodiment of the present invention;
FIG. 11 is a schematic structural diagram of a second recycling management apparatus according to an embodiment of the present invention;
FIG. 12 is a schematic structural diagram of a third recycling management apparatus according to an embodiment of the present invention;
FIG. 13 is a schematic structural diagram of a fourth recycling management apparatus according to an embodiment of the present invention;
fig. 14 is a schematic structural diagram of a fifth recycling management apparatus in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments obtained by a person skilled in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Examples
As shown in fig. 1 and fig. 2, fig. 1 is a schematic flow chart of a recycling management method in this embodiment. The method relates to a recovery management method; fig. 2 is a schematic diagram of a system workflow of a preferred recycling management method in this embodiment. Through recycling chains such as recycling information integration, door recycling, sorting center operation, renewable resource transaction and the like, the recycled product category comprises waste products such as televisions, refrigerators, air conditioners, washing machines, computers, mobile phones and the like. The recovery form may include: the method is characterized in that the method comprises the steps of going to a home for recycling, replacing the old with the new, recycling the stock of enterprises and bulk goods and the like, forming cooperation with a plurality of mechanism units such as product production enterprises, sales shops, local product companies, online service platforms and the like by relying on urban goods yards and sorting centers all over the country, and carrying out informatization and systematic improvement and transformation on the industry by using an integration and energization method through an internet and renewable resource full industrial chain recycling system in the face of a traditional recycling mode, so that the recycling efficiency is improved, the recycling cost is reduced, an online recycling service system is built, a home-going recycling network is perfected, and the product recycling efficiency is improved. Specifically, the method comprises the following process steps:
102, analyzing the characteristic information data in an analyzing, refining and collecting mode to obtain classification information data of the object to be recovered, and comparing the classification information data with a preset classification strategy to obtain the category of the object to be recovered; comparing the category and the characteristic information data of the object to be recovered with preset categories and preset strategies corresponding to the characteristic information and the object value to obtain value data of the object to be recovered; generating a recycling transaction interface of the object to be recycled according to the value data and displaying the recycling transaction interface; and receiving a recovery transaction success message of the object to be recovered, and tracking the recovered object based on the flow progress dynamic data.
The online tracking, processing and tracing of the recycled objects are realized on the basis of an information service platform built by the internet technology, the system function covers the contents of data statistics, order collection, warehousing detection, quality inspection disassembly and the like, the data statistics function realizes various data forms of single transaction, multiple transactions, online transaction, offline transaction, shop front transaction and website transaction, data query and statistics in different forms can be provided, and meanwhile, the tracing system corresponds to quality inspection list reflux data of disassembled enterprises one to one, and the closed loop of information is achieved.
At present, the standardization degree of the construction of the distributed market is still different from the actual requirement, the standardization, the large scale and the intensification of a recovery system cannot be led and pulled, most functions of the distributed market are single, the distributed market is only limited in collection, transaction and separation of renewable resources, an industrial chain is short, a deep processing and utilization industrial chain is not formed, a service platform is not built, the service functions of information, research and development, training, standards, finance and the like are lacked, the operational management is not standard, the renewable resources are stacked in the open air, the occupied business is operated, and the distributed market is roughly disassembled.
With the rapid development of the internet technology, renewable resource recycling enterprises utilize modern information technologies such as the internet and the like, establish a convenient and efficient renewable resource recycling transaction service platform, perform information acquisition, data analysis and flow direction monitoring, gradually integrate logistics resources, optimize the layout of recycling network points, enable supply and demand parties to quickly obtain information matching, perfect a renewable resource recycling system, and promote the transformation and upgrading of renewable resource transactions from off-line to on-line and off-line combination. The embodiment provides a novel recovery mode which can be popularized and copied, for example, modes of recovering waste electronic products and recovering waste household appliances and mobile phones by using a transaction service platform are combined online and offline, the recovery cost is effectively reduced by the novel recovery modes, and the recovery efficiency is improved.
The problem of among the prior art retrieve information dispersion not concentrate, have important influence effect to recovery efficiency promotion is solved. With the combination of the internet and the recycling industry, the integration of front-end recycling information becomes a problem to be solved primarily. Therefore, a recovery information registration system is set and is opened for the people who have recovery requirements, such as consumers, home appliance stores, home appliance sales enterprises, e-commerce sales online stores and the like. Through the registration of the recovery information and the information aggregation, the recovery source is provided for the recovery personnel, the squat recovery is changed into active order pushing, the traditional recovery industry mode is changed, and the recovery efficiency is improved. People who have the recovery demand pass through registration system, can realize going to the door fast and retrieve, have avoided the difficult problem that oneself found people and retrieved in the past, and convenient and practical provides novel recovery channel for convenient life.
The system uses an open registration system, performs online registration for a plurality of role users, develops a plurality of ports, and synchronously realizes information registration by a plurality of system entries such as web pages, APPs, social platform applets, public numbers and the like. The order management system is used for managing the registered orders, and the data matching technology, the sorting algorithm and other technologies are used for realizing the functions of pushing, settling, closing, executing and the like of the orders.
Aiming at the problems that waste household appliances are difficult to share online and offline recovery information, low in online and offline recovery transaction matching success rate and long in online and offline coupling recovery transaction response time, an online and offline recovery comprehensive database of the waste household appliances is constructed, a multi-source heterogeneous data processing technology is developed, a distributed sharing model of the recovery comprehensive database is established, and online and offline recovery data sharing exchange is realized; an online recycling regulation and control and value-added technology is developed, a transaction intelligent support decision technology is developed, online and offline transaction automatic matching of the waste household appliances is realized, the recycling transaction success rate is improved, and an online and offline coupling recycling integrated system platform of the waste household appliances is realized.
In some optional embodiments, as shown in fig. 3 and fig. 4, fig. 3 is a schematic flow chart of a second recovery management method in this embodiment; fig. 4 is a schematic flow chart illustrating a process of constructing a recovery integrated database in a first recovery management method according to this embodiment, which is different from fig. 1 in that feature acquisition data of an object to be recovered is received, and the feature acquisition data is converted into feature information data of the object to be recovered in a preset standardized data conversion manner according to data features of the feature acquisition data, and the method includes:
and 301, integrating to obtain a recycling information source database of the product according to the product sales platform, the product sales enterprise information and the product production enterprise information.
302, based on the identification equipment, performing stereo scanning, omnibearing shooting, weighing and identification number identification, and/or receiving the state data of the object to be recovered, which at least comprises the model number, the brand, the form, the dimension specification, the body characteristic, the purchasing age and the product state of the object to be recovered, and is input by input equipment; and comparing the characteristic data with a recovery information source database to obtain the characteristic acquisition data of the object to be recovered.
And step 303, converting the data characteristics of the characteristic acquisition data into characteristic information data of the object to be recovered in a preset standardized data conversion mode.
At present, the scattered, messy and small industrial characteristics of the recycling industry directly form the current situation of scattered recycling information and low recycling frequency. The integration and application of the Internet in the industry are mainly to improve the integration and recovery efficiency of the recovered information, the recovered information is aggregated and integrated through various channels on line and off line, and the low-frequency recovery is changed into a transaction with high-frequency in the set. The data form has various different modes, the data types, the data structures and the data modules are different, and the data can be shared, exchanged, integrated and reused to the maximum extent, so that the multi-source information of various channels is aggregated to form a multi-source recovery information comprehensive database.
Database sources include: on-line: based on a web website, a public number recovery entrance, an applet recovery port and a recovery application mobile terminal APP used by an offline user; the method comprises the following steps of 1, butt joint of information recovery systems of production enterprises based on waste household appliances; based on the recovery information of the marketing enterprises of the waste household appliances and the system docking of the old household appliances and the new household appliances; and E-commerce platform system docking based on the waste household appliances. Under the line: based on the recovery information of the intelligent recovery equipment taking communities and business surpasses as service points; the method comprises the steps of carrying out channel butt joint on various recovery scenes of a life cycle management industrial chain based on waste household appliances, such as maintenance, housekeeping, property, community and the like.
The recovery method system can also form a comprehensive database with a recovery data inlet of a third-party system interface, and comprises the steps of determining a database structure, researching and developing an open data receiving port, researching a data calling mode, realizing the transmission and storage technology of offline recovery data and the like. Aiming at the characteristics of heterogeneous data, JAVA and XML technologies are combined, and the heterogeneous database integration model based on XML and middleware technologies is deeply analyzed and discussed. XML (eXtensibleMarkupLange) is an extensible and self-describing data format, can express various types of data, solves the problem of uniform interface of the data, and facilitates information exchange and sharing among different databases. JAVA is a real cross-platform development environment and provides a data interface supporting XML. The middleware is used for establishing the field data integration platform, so that the correlation of field components to field data can be reduced, the independence of the field components is effectively improved, and the multiplexing range is expanded.
The database is developed by multiple languages such as net, C #, javascript, java and Object-C, and the database architecture comprises four basic data of user information, recycle categories, service addresses and information sources. Based on the technology of multisource data analysis and aggregation, the butt joint entrance of a plurality of language systems is expanded, module management is optimized, the function of butt joint with multisource channel systems is achieved, data compatibility and middleware system setting are developed, the information source demand technology of various sources and different structures can be achieved, and the distributed heterogeneous database integrated middleware has high integration level on information, strong expandability and strong stability and real-time performance. The database construction needs to meet the functions of data calling, inquiring, searching, collecting and counting. The establishment of the comprehensive database comprises an architecture, mode mapping, mode conflict and solution, query processing, data integration, data management and the like, and is a comprehensive system module which collects data after the multi-source channel system is docked and has data collection and management. After data integration, the data are displayed together with a front-end UI page, and are synchronously transmitted to an application system of a recovery operation end (namely a recovery personnel order information page), a response mechanism is started, order synchronous management and monitoring are carried out, and a processing and running mechanism for data real-time sharing is adopted.
In some optional embodiments, as shown in fig. 5, which is a schematic flowchart of a third method for recycling management in this embodiment, different from that in fig. 1, the method further includes:
And 504, receiving the recovery transaction progress data of the recovery order receiving client, updating the process progress dynamic data of the object corresponding to the recovery identification information, and storing the process progress dynamic data.
In some optional embodiments, as shown in fig. 6, a schematic flow chart of a fourth recycling management method in this embodiment is shown, and different from fig. 5, the method further includes:
And 603, generating a recycling push message according to the feature information data, the value data and the user information of the object, and sending the recycling push message to the user of the object.
In some optional embodiments, as shown in fig. 7 to 9, fig. 7 is a schematic flowchart of a fifth recovery management method in this embodiment; fig. 8 is a schematic flow chart of online and offline multi-source heterogeneous data processing based on deep learning in the method for recycling management in this embodiment; fig. 9 is a schematic flowchart of a comprehensive database sharing process based on multi-source heterogeneous data intelligent features of a recovery management method in this embodiment, and different from fig. 1, the method further includes:
And step 702, receiving the updated characteristic information data of the recovered object, inputting the characteristic information data into a deep neural network processing model to obtain the updated classification information data, value data and refined processing instructions of the recovered object, and outputting the classification information data, the value data and the refined processing instructions to corresponding processing interfaces.
The heterogeneous data in the multi-source database is processed based on the technology of multi-source heterogeneous data characteristic learning and deep fusion learning model construction, inference learning is carried out on various conditions generated by combining a deep neural network and an information fusion technology, and finally a deep learning-based hybrid fusion model is obtained.
The data processing mainly comprises data extraction, data integration, data loading and data conversion. Useful data are extracted from the heterogeneous database and data integration is the core technology of online and offline multi-source heterogeneous information deep processing. By adopting a TUXEDO/Q message transfer mechanism and SAX document analysis standards, the method ensures reliable transmission of the recovered data and seamless connection of heterogeneous databases, realizes integration and sharing of the recovered data of a distributed heterogeneous data source system, and further obtains a method for effectively processing and integrating the heterogeneous credit data based on XML and TUXEDO. The data extraction is to acquire useful information according to four basic data modules of user information, recycle types, service addresses and information sources set by the database. The extraction processing module respectively processes the collected multi-source heterogeneous data by using different rule bases (Windows and Linux), removes useless and redundant information, and extracts only four basic data to enter the database.
The data conversion module designs an xmlschema document of multi-source heterogeneous recovery data, processes the xmlschema document by using an xmlbean technology, converts the processed log data by combining java programming, and obtains data with a uniform format after conversion. And classifying and processing the processed data by adopting a deep learning method based on a wireless deep neural network, and uniformly outputting the data.
After the deep processing of the multi-source heterogeneous data is finished, the multi-source heterogeneous data is output in a unified standard, the module exchanges, shares and synchronizes data with various data in a data sharing and exchanging mode, and the accuracy of information interaction of all links of online and offline recovery is improved and the coupling degree among all links is enhanced by sharing a comprehensive database and online and offline multi-source heterogeneous information deep processing module data. Firstly, a data sharing exchange library is constructed, data of the sharing exchange library is centrally organized based on a data dictionary, an internal data sharing exchange protocol of the sharing exchange library is designed, association among different types of data is established, a many-to-one and many-to-many mapping relation is formed, and a sharing data model based on data intelligent characteristics is packaged. Secondly, a distributed data sharing service technology is established, and sharing exchange of online and offline recycled data of the waste household appliances is achieved through a web technology, an API (application program interface) technology, an OAuth2.0 authorization access mechanism and a JSON value transfer mode. And finally, integrating the data sharing function module, reserving a plurality of butt joint inlets of the language systems, and sharing and linking data with a production enterprise, a sales enterprise, a household appliance store and an e-commerce platform in an open port and system calling mode. The method is characterized in that waste household appliances are used as research objects, offline network point information and online data flow changes in the waste household appliance recovery process are monitored, and data sharing conditions in the recovery process in offline recovery network points, the Internet, a mobile phone network and the like are counted.
And a front-end management system based on a recovery registration system and an order receiving system, and a system for performing deep processing on all members, orders and funds and running the deep processing to a platform. The method is used for information management of the website foreground, such as issuing, updating, deleting and other operations of characters, pictures, videos and other daily-use files, and comprises statistics and management of complete member information management, order management, information fee management, popularization management, manufacturer management, evaluation management, authority management and the like. The front-end recycling management system separates the contents (characters, pictures and the like) of the blog-green network website from the components of the website, can connect all pages together, modify or delete the operation and can control the display of the pages. The system is a background operation system for product, information, promotion, user and data management, and is a management system for various business plates such as website product maintenance, information management, information release management, promotion optimization, member management, conference management, activity management and the like, and information synchronous updating and information synchronous sharing can be realized through the scheme.
The PHP and Net technology is applied for development, the system can conveniently manage, release and maintain the content of the website, realize the control of columns, menus, function entries and the like of the foreground Bolv Net in the system, and ensure that the recovered content can be updated and adjusted in time. The multi-party data synchronous input, retrieval and processing capabilities are realized, the processing results are synchronously transmitted and shared to a front-end website for display, the front end and the rear end are tightly combined, and a basic operation mechanism for ensuring the high-speed operation of the Bolv network is provided. The method is based on the principle that the user has a more visual representation method for the website, and the personalized website is built through a simple development mode. The system is formed by individualized and modularized functional components, and has the advantages of safety, stability, rich functions and simplicity in operation. And the open source code of the system makes it extensible. Through the system, the content of the website can be managed, released and maintained conveniently.
In some specific application embodiments, the recycling personnel needs to register in the recycling system and complete real-name authentication and bank card information binding. As the problem of recovering aloft work is involved, an aloft work certificate and an aloft accident certificate need to be uploaded. And the recovery personnel finish the operation on the APP, and all data are synchronously uploaded to the recovery background management system. Displaying in a recycling personnel management library, including: the data of the name of the recycling person, the mobile phone number, the membership identity, the inviter (the recommender), the account information, the affiliated unit, the registration area, the recycling area, the order receiving authority, the real-name authentication, the aerial work certificate, the insurance certificate and the like.
The recycling types, recycling areas and recycling ranges of recycling personnel are the most important matching elements. The regions, streets and recycling types in the order are all corresponding to the order, and the order can be matched one by one, so that the highest recycling efficiency is achieved. Therefore, self-setting of [ recycling areas ] [ recycling articles ] is set in the APP, and data are synchronously transmitted to a recycling personnel authority setting plate in the background management system to be modified, perfected and managed. Under the conditions of the existing service range and the integration and recovery of personnel resources, the region is set by taking a district/county as the minimum unit, and the range from the region to a street, a village and a town and the like is not realized.
Through the heterogeneous information source of retrieving of multisource, have a plurality of different kinds of recovery data element. After the data deep processing, a recovery comprehensive database is set, and the recovery comprehensive database comprises: registrant, recycle type, recycle specification, owner name, owner telephone number and recycle address. And (4) recovering the orders in the comprehensive database, and automatically matching corresponding recovery personnel to completely realize an automatic matching mechanism. Matching is carried out according to the recovery range, the recovery area, the recovery type, the recovery qualification and the authority of the recovery personnel, and the order with the closest distance is preferentially matched by taking the positioning of the recovery personnel as a starting point. The order is automatically pushed to a receipt receiving page of a recycling person, and after the recycling person receives the order, the order state is synchronously updated.
When the automatic matching of the orders fails or special orders need to be scheduled, the manual order dispatching system is used for dispatching and adjusting in the database by taking the matching of the recycling types and the recycling areas as basic criteria. Under the condition of a recovery area and a recovery type, scheduling recovery personnel to screen under a condition of meeting, and according to the requirement of an order, assigning recovery of a specially-assigned person or modifying the recovery personnel and the like can be performed. This operation is complementary to the special case solution where the system automatically matches push orders.
In some optional embodiments, as shown in fig. 10, which is a schematic structural diagram of an apparatus 1000 for recycling management in this embodiment, the management control apparatus may be configured to implement the method for recycling management described above, specifically, the apparatus includes: a recycled feature data receiving processor 1001, a recycled feature data classifying processor 1002, and a recycled article sorting processor 1003.
The recovery feature data receiving processor 1001 is connected with the recovery feature data classifying processor 1002, receives feature acquisition data of an object to be recovered, and converts the feature acquisition data into feature information data of the object to be recovered in a preset standardized data conversion mode according to data features of the feature acquisition data; and establishing identification information data of the object to be recovered according to the characteristic information data, and establishing and storing process progress data of the object to be recovered based on the identification information data.
A recycling characteristic data classifying processor 1002, which is connected with the recycling characteristic data receiving processor 1001 and the recycling article sorting processor 1003, analyzes the characteristic information data in an analyzing, refining and collecting mode to obtain classification information data of the articles to be recycled, and compares the classification information data with a preset classification strategy to obtain the category of the articles to be recycled; according to the category and the characteristic information data of the object to be recovered, comparing the category and the characteristic information with preset corresponding strategies of object value to obtain value data of the object to be recovered; generating a recycling transaction interface of the object to be recycled according to the value data and displaying the recycling transaction interface; and receiving a recovery transaction success message of the object to be recovered, and tracking the recovered object based on the flow progress dynamic data.
The recovered object sorting processor 1003 is connected with the recovered characteristic data classifying processor 1002, and compares the value data with a preset corresponding strategy of the fine processing classification of the recovered object to obtain the fine processing classification of the object to be recovered; combining the flow progress dynamic data with the refinement processing category to generate a refinement processing instruction of the recovered object; and controlling to convey the recovered objects to corresponding positions of the corresponding fine processing warehouse for recovery processing according to the fine processing instructions.
In some optional embodiments, as shown in fig. 11, which is a schematic structural diagram of an apparatus 1100 for recycling management in the second embodiment, different from that in fig. 10, a recycling characteristic data receiving processor 1001 includes: a source database creating processor 1101, a recovery characteristic data collector 1102, a recovery characteristic data standardizing converter 1103 and a flow progress updating processor 1104.
The source database creating processor 1101 is connected to the recovery characteristic data collector 1102 and the product source data platform 1105, and integrates the product sales platform, the product sales enterprise information, and the product manufacturing enterprise information to obtain a source database of the recovery information of the product.
The recovery characteristic data collector 1102 is connected with the recovery information source database creating processor 1101 and the recovery characteristic data standardization converter 1103, and is used for performing stereoscopic scanning, omnibearing photographing, weighing, identification number identification and/or receiving input equipment input based on identification equipment, wherein the object to be recovered at least comprises the state data of the object to be recovered, such as the model number, the brand, the shape, the size specification, the body characteristic, the purchasing age and the product state; and comparing the characteristic data with a recovery information source database to obtain the characteristic acquisition data of the object to be recovered.
The recovery characteristic data standardization converter 1103 is connected to the recovery characteristic data collector 1101 and the process progress update processor 1104, and converts the data characteristics of the collected characteristic data into characteristic information data of the object to be recovered in a preset standardization data conversion manner.
And a process progress updating processor 1104 connected to the recovery characteristic data standardization converter 1103 and the recovery characteristic data classification processor 1002, for establishing identification information data of the object to be recovered according to the characteristic information data, and establishing and storing process progress dynamic data of the object to be recovered based on the identification information data.
In some optional embodiments, as shown in fig. 12, which is a schematic structural diagram of a third recycling management apparatus 1200 in this embodiment, different from that in fig. 10, the apparatus further includes: a recycle order receiver 1201, a recycle instruction sending processor 1202, and a recycle flow progress update processor 1203.
The recovery order receiver 1201 is connected to the recovery instruction sending processor 1202, and receives the object recovery order, analyzes the object recovery order to obtain the feature information data of the object in the recovery order and the order user information, and establishes the recovery identification information of the object.
The recycling instruction sending processor 1202 is connected to the recycling characteristic data classifying processor 1002, the recycling order receiver 1201 and the recycling process progress updating processor 1203, and compares the characteristic information data of the object with a preset category and a strategy corresponding to the characteristic information and the object value to obtain the value data of the object in the recycling order.
Searching a recovery order receiving client side of the corresponding object classification nearby based on a preset order receiving strategy according to the characteristic information data and the order user information, and sending a recovery order of the object; receiving order receiving feedback of a recovery order receiving client, generating a corresponding recovery instruction according to the value data, the characteristic information data and the order user information of the object in the recovery order, and sending the recovery instruction to the recovery order receiving client;
and a recovery flow progress updating processor 1203 connected to the recovery instruction sending processor 1202, receiving the recovery transaction progress data of the recovery order receiving client, updating the flow progress dynamic data of the object corresponding to the recovery identification information, and storing the updated flow progress dynamic data.
In some optional embodiments, as shown in fig. 13, a schematic structural diagram of a fourth recycling management apparatus 1300 in this embodiment is different from that in fig. 12, further including: a recycling information source database creation processor 1301, an object recycling state processor 1302, and an object recycling message pushing processor 1303.
The source database of recycling information creating processor 1301 is connected to the object recycling state processor 1302, and integrates the product source database of recycling information according to the product sales platform, the product sales enterprise information, the product manufacturing enterprise information, the maintenance point information, the household information, the property information, and the community information.
The object recovery state processor 1302 is connected with the recovery characteristic data classification processor 1002, the recovery information source database creation processor 1301 and the object recovery message pushing processor 1303, obtains the recovery state information of the object by contrasting the life cycle of the object classification information with the use duration of the object in the recovery information source database, and obtains the value data of the object according to the characteristic information data of the object when the recovery state of the object reaches or exceeds a threshold of the recovery use duration;
and the object recovery message pushing processor is connected with the object recovery state processor, generates a recovery pushing message according to the feature information data, the value data and the user information of the object, and sends the recovery pushing message to the user of the object.
In some optional embodiments, as shown in fig. 14, which is a schematic structural diagram of a fifth recycling management apparatus in this embodiment, different from that in fig. 10, the fifth recycling management apparatus further includes: a recurrent neural network creation processor 1401 and an intelligent recurrent processor 1402.
The recovery neural network creation processor 1401 is connected to the recovery characteristic data receiving processor 1001, the recovery characteristic data classifying processor 1002, the recovery object sorting processor 1003 and the intelligent recovery processor 1402, and establishes a deep neural network processing model according to the characteristic information data, the classification information data, the value data and the refinement processing instruction of the object to be recovered.
And the intelligent recovery processor 1402 is connected with the recovery neural network creation processor 1401 and the recovery characteristic data receiving processor 1001, receives the updated characteristic information data of the recovery object, inputs the deep neural network processing model to obtain the classification information data, the value data and the refinement processing instruction of the updated recovery object, and outputs the classification information data, the value data and the refinement processing instruction to the corresponding processing interface.
Training a network model according to data in a database, wherein the training steps are as follows:
a. and inputting training data into the constructed convolutional neural network model, training the convolutional neural network, and then integrating the trained parameters into each terminal node through the cluster heads by the connecting nodes.
b. Each terminal node uses a pre-trained convolutional neural network model to perform multilayer convolutional feature extraction and pooling on the acquired sensor data, and then sends the feature data obtained by fusion to a corresponding cluster head node, wherein the process of convolution and pooling is the process of data fusion, and some features are extracted according to initial data in the process of convolution and pooling. For example, user characteristics (price of the mobile phone frequently used by the user; general service life of the mobile phone of the user) are extracted according to the user information; and extracting recovery characteristics (shopping trend in industry, industry consumption level) and the like according to the recovery categories.
c. And c, classifying the fusion data generated in the step b by the cluster head node by using a logistic regression classifier, uniformly outputting to obtain a classification result, sending the uniform data to the connecting node, wherein the classification result is determined by the extracted features, and if the classification of the mobile phone is judged according to the mobile phone features extracted by the recovered mobile phone data.
d. The network completes one round of data acquisition, fusion and transmission process, establishes a loss function of convolutional neural network training, and completes one parameter updating of the convolutional layer. And (e) the connecting nodes are clustered again, cluster head nodes are selected, and then the step (c) is skipped.
The beneficial effects of the recovery management method and the device in the embodiment are as follows:
the method and the device for recycling management in the embodiment are an online-offline multi-source heterogeneous information deep processing technology, an online recycling regulation and value-added technology, an online-offline coupling recycling integrated system, an online-offline coupling recycling integrated technology and a system application demonstration. Aiming at the problem that the on-line and off-line recovery information is difficult to share, a typical urban renewable resource on-line and off-line recovery comprehensive database is constructed, complete acquisition of data such as off-line recovery, flow analysis, identification and evaluation is realized, an on-line and off-line multi-source heterogeneous information deep processing technology is developed, deep fusion of on-line and off-line multi-source heterogeneous data is completed, a recovery comprehensive database distributed sharing model is constructed, a comprehensive database sharing mechanism is researched, and sharing and exchange of on-line and off-line recovery data are realized; aiming at the problem of low matching success rate of online and offline coupling recovery transactions of typical urban renewable resources, a high-efficiency matching implementation scheme in the recovery transaction process is researched, a recovery order matching rule based on knowledge reasoning is established, a transaction order comprehensive case base is constructed, online recovery regulation and control and value-added technology is developed, an industrial standard is formulated, and the online and offline coupling recovery transaction matching success rate is improved; an online and offline coupling recovery integrated system is developed, and online and offline coupling recovery transaction response time is shortened; the waste household electrical appliance online and offline coupling recovery integration technology and system application engineering demonstration research are developed, the technology and system functions are perfected, online and offline transaction rapid butt joint is realized, and online and offline coupling recovery efficiency is improved.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method of recycling management, comprising:
receiving feature acquisition data of an object to be recovered, and converting the feature acquisition data into feature information data of the object to be recovered in a preset standardized data conversion mode according to data features of the feature acquisition data; establishing identification information data of the object to be recovered according to the characteristic information data, and establishing and storing flow progress dynamic data of the object to be recovered based on the identification information data;
analyzing the characteristic information data in an analyzing, refining and collecting mode to obtain classification information data of the objects to be recovered, and comparing the classification information data with a preset classification strategy to obtain the classes of the objects to be recovered; according to the category and characteristic information data of the object to be recovered, comparing the category and characteristic information data with a preset category and characteristic information and object value corresponding strategy to obtain value data of the object to be recovered; generating a recycling transaction interface of the object to be recycled according to the value data and displaying the recycling transaction interface; receiving a recovery transaction success message of the object to be recovered, and tracking the recovered object based on the process progress dynamic data;
comparing the value data with a preset corresponding strategy of the fine processing classification of the recovered object to obtain the fine processing classification of the object to be recovered; according to the dynamic data of the process progress and the refinement processing category, a refinement processing instruction of the recovered object is generated; and controlling to convey the recovered objects to corresponding positions of a corresponding fine processing warehouse for recovery processing according to the fine processing instructions.
2. The recycling management method according to claim 1, wherein the feature collection data of the object to be recycled is received, and is converted into the feature information data of the object to be recycled in a preset standardized data conversion manner according to the data feature of the feature collection data, and the method comprises the following steps:
integrating to obtain a recycling information source database of the product according to the product sales platform, the product sales enterprise information and the product production enterprise information;
based on the identification equipment, the object to be recovered at least comprises product model, brand, form, size specification, fuselage characteristics, purchase age and product state data which are input by the input equipment through three-dimensional scanning, omnibearing shooting, weighing, identification number identification and/or receiving; obtaining characteristic acquisition data of the object to be recovered by contrasting with the recovery information source database;
and converting the data characteristics of the characteristic acquisition data into characteristic information data of the object to be recovered in a preset standardized data conversion mode.
3. The method of recycling management according to claim 1, further comprising:
receiving an object recovery order, analyzing the object recovery order to obtain characteristic information data and order user information of an object in the recovery order, and establishing recovery identification information of the object;
comparing the characteristic information data of the object with preset categories and corresponding strategies of the characteristic information and the object value to obtain value data of the object in the recovery order;
according to the characteristic information data and the order user information, searching a recovery order receiving client side of the corresponding object classification nearby based on a preset order receiving strategy, and sending a recovery order of the object; receiving order receiving feedback of the recovery order receiving client, generating a corresponding recovery instruction according to the value data, the characteristic information data and the order user information of the object in the recovery order, and sending the recovery instruction to the recovery order receiving client;
and receiving the recovery transaction progress data of the recovery order receiving client, updating the flow progress dynamic data of the object corresponding to the recovery identification information, and storing the flow progress dynamic data.
4. The method of recycling management according to claim 3, further comprising:
integrating to obtain a recycling information source database of the product according to the product sales platform, the product sales enterprise information, the product production enterprise information, the maintenance point information, the housekeeping information, the property information and the community information;
based on the use duration of the object in the recovery information source database, obtaining the recovery state information of the object by contrasting with the life cycle in the object classification information, and when the recovery state of the object reaches or exceeds a recovery use duration threshold, obtaining the value data of the object according to the feature information data of the object;
and generating a recycling push message according to the feature information data, the value data and the user information of the object, and sending the recycling push message to the user of the object.
5. The method of recycling management according to claim 1, further comprising:
establishing a deep neural network processing model according to the characteristic information data, the classification information data, the value data and the refined processing instruction of the object to be recovered;
and receiving updated characteristic information data of the recovered object, inputting the characteristic information data into the deep neural network processing model to obtain the updated classification information data, value data and refined processing instructions of the recovered object, and outputting the classification information data, the value data and the refined processing instructions to corresponding processing interfaces.
6. An apparatus for recycling management, comprising: a recovered characteristic data receiving processor, a recovered characteristic data classifying processor and a recovered object sorting processor; wherein,
the recovery characteristic data receiving processor is connected with the recovery characteristic data classifying processor, receives characteristic acquisition data of the object to be recovered, and converts the characteristic acquisition data into characteristic information data of the object to be recovered in a preset standardized data conversion mode according to the data characteristics of the characteristic acquisition data; establishing identification information data of the object to be recovered according to the characteristic information data, and establishing and storing flow progress data of the object to be recovered based on the identification information data;
the recovery characteristic data classification processor is connected with the recovery characteristic data receiving processor and the recovery object sorting processor, analyzes the characteristic information data in an analyzing, refining and collecting mode to obtain classification information data of the object to be recovered, and compares the classification information data with a preset classification strategy to obtain the category of the object to be recovered; comparing the category and the characteristic information data of the object to be recovered with preset categories and preset strategies corresponding to the characteristic information and the object value to obtain value data of the object to be recovered; generating a recycling transaction interface of the object to be recycled according to the value data and displaying the recycling transaction interface; receiving a recovery transaction success message of the object to be recovered, and tracking the recovered object based on the flow progress dynamic data;
the recovered object sorting processor is connected with the recovered characteristic data classifying processor, and the refined processing category of the object to be recovered is obtained according to the comparison between the value data and a preset refined processing classifying corresponding strategy of the recovered object; generating a refinement processing instruction of the recovered object according to the dynamic flow progress data and the refinement processing category; and controlling to convey the recovered objects to corresponding positions of a corresponding fine processing warehouse for recovery processing according to the fine processing instructions.
7. The apparatus for recycling management according to claim 6, wherein said recycling characteristic data receiving processor comprises: the system comprises a recovery information source database creating processor, a recovery characteristic data collector, a recovery characteristic data standardization converter and a process progress updating processor; wherein,
the recovery information source database creating processor is connected with the recovery characteristic data collector and the product source data platform and integrates the product sales platform, the product sales enterprise information and the product production enterprise information to obtain a recovery information source database of the product;
the recovery characteristic data collector is connected with the recovery information source database creation processor and the recovery characteristic data standardization converter, and is used for identifying objects to be recovered through three-dimensional scanning, omnibearing shooting, weighing and identification number identification based on identification equipment and/or receiving input of input equipment, wherein the objects to be recovered at least comprise object state data of product types, brands, forms, dimension specifications, body characteristics, purchase years and product states; obtaining characteristic acquisition data of the object to be recovered by contrasting with the recovery information source database;
the recovery characteristic data standardization converter is connected with the recovery characteristic data collector and the process progress updating processor and converts the data characteristics of the characteristic collection data into characteristic information data of the object to be recovered in a preset standardization data conversion mode;
the process progress updating processor is connected with the recovered characteristic data standardization converter and the recovered characteristic data classification processor, establishes identification information data of the object to be recovered according to the characteristic information data, and establishes and stores process progress dynamic data of the object to be recovered based on the identification information data.
8. The recycling management apparatus according to claim 6, further comprising: the system comprises a recovery order receiver, a recovery instruction sending processor and a recovery flow progress updating processor; wherein,
the recovery order receiver is connected with the recovery instruction sending processor, receives an object recovery order, analyzes the object recovery order to obtain characteristic information data and order user information of the object in the recovery order, and establishes recovery identification information of the object;
the recovery instruction sending processor is connected with the recovery characteristic data receiving processor, the recovery order receiver and the recovery process progress updating processor, and compares the characteristic information data of the object with preset categories and corresponding strategies of the characteristic information and the object value according to the characteristic information data of the object to obtain value data of the object in the recovery order;
according to the characteristic information data and the order user information, searching a recovery order receiving client side of the corresponding object classification nearby based on a preset order receiving strategy, and sending a recovery order of the object; receiving order receiving feedback of the recovery order receiving client, generating a corresponding recovery instruction according to the value data, the characteristic information data and the order user information of the object in the recovery order, and sending the recovery instruction to the recovery order receiving client;
and the recovery flow progress updating processor is connected with the recovery instruction sending processor, receives the recovery transaction progress data of the recovery order receiving client, updates the flow progress dynamic data of the object corresponding to the recovery identification information and stores the flow progress dynamic data.
9. The recycling management apparatus according to claim 8, further comprising: the system comprises a recovery information source database creating processor, an object recovery state processor and an object recovery message pushing processor; wherein,
the recycling information source database creating processor is connected with the object recycling state processor and integrates the product recycling information source database according to the product sales platform, the product sales enterprise information, the product production enterprise information, the maintenance point information, the household information, the property information and the community information;
the object recovery state processor is connected with the recovery characteristic data classification processor, the recovery information source database creation processor and the object recovery message pushing processor, the recovery state information of the object is obtained by contrasting with the life cycle in the object classification information based on the use duration of the object in the recovery information source database, and the value data of the object is obtained according to the characteristic information data of the object when the recovery state of the object reaches or exceeds the threshold of the recovery use duration;
the object recovery message pushing processor is connected with the object recovery state processor, generates a recovery pushing message according to the feature information data, the value data and the user information of the object, and sends the recovery pushing message to the user of the object.
10. The apparatus for recycling management according to claim 6, further comprising: a recovery neural network creation processor and an intelligent recovery processor; wherein,
the recovery neural network creating processor is connected with the recovery characteristic data receiving processor, the recovery characteristic data classifying processor, the recovery object sorting processor and the intelligent recovery processor, and establishes a deep neural network processing model according to the characteristic information data, the classification information data, the value data and the fine processing instruction of the object to be recovered;
the intelligent recovery processor is connected with the recovery neural network creating processor and the recovery characteristic data receiving processor, receives the updated characteristic information data of the recovered object, inputs the deep neural network processing model to obtain the classification information data, the value data and the refining processing instruction of the updated recovered object, and outputs the classification information data, the value data and the refining processing instruction to the corresponding processing interface.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106056226A (en) * | 2016-07-06 | 2016-10-26 | 余正贤 | Cloud recognition system and cloud recognition method for intelligent classification and recycling of domestic garbage |
| CN206546593U (en) * | 2016-07-06 | 2017-10-10 | 余正贤 | House refuse intelligent classification reclaims cloud identifying system |
| CN107818493A (en) * | 2017-10-26 | 2018-03-20 | 河南酒蚂蚁电子商务有限公司 | A kind of mobile wine cabinet wisdom transaction system |
| CN109063866A (en) * | 2018-06-07 | 2018-12-21 | 王远喆 | A kind of Urban Regeneration resource big data comprehensive management system |
| CN110263952A (en) * | 2019-06-25 | 2019-09-20 | 吴昶炜 | A kind of electronic product intelligence recovery system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI622006B (en) * | 2016-08-31 | 2018-04-21 | 楊琛 | A valuable item trading system and method thereof |
-
2019
- 2019-10-29 CN CN201911034534.5A patent/CN111047387B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106056226A (en) * | 2016-07-06 | 2016-10-26 | 余正贤 | Cloud recognition system and cloud recognition method for intelligent classification and recycling of domestic garbage |
| CN206546593U (en) * | 2016-07-06 | 2017-10-10 | 余正贤 | House refuse intelligent classification reclaims cloud identifying system |
| CN107818493A (en) * | 2017-10-26 | 2018-03-20 | 河南酒蚂蚁电子商务有限公司 | A kind of mobile wine cabinet wisdom transaction system |
| CN109063866A (en) * | 2018-06-07 | 2018-12-21 | 王远喆 | A kind of Urban Regeneration resource big data comprehensive management system |
| CN110263952A (en) * | 2019-06-25 | 2019-09-20 | 吴昶炜 | A kind of electronic product intelligence recovery system |
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