CN114418136A - Data processing method, device, equipment and product for rail vehicle recovery - Google Patents
Data processing method, device, equipment and product for rail vehicle recovery Download PDFInfo
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Abstract
The invention provides a data processing method, a device, equipment and a product for rail vehicle recovery, wherein the method comprises the following steps: responding to a recovery signal of a rail vehicle, and acquiring vehicle parameter information of the rail vehicle; extracting a supplier feature vector in the vehicle parameter information, wherein the supplier feature vector points to a supplier of the rail vehicle; sending the vehicle parameter information to a corresponding supplier according to the supplier feature vector; and acquiring a recovery list fed back by the supplier, and generating a recovery decision according to the recovery list. According to the invention, BOM management, supplier assistance and data auditing of the rail vehicle are integrated, and a set of complete vehicle recovery data processing flow is provided, so that efficient rail vehicle recovery calculation is realized, and the problems of low result accuracy and low calculation efficiency caused by huge data volume, material classification, difficult statistics, complex calculation process and the like during manual calculation are solved.
Description
Technical Field
The invention relates to the technical field of railway vehicles, in particular to a data processing method, a data processing device, data processing equipment and a data processing product for railway vehicle recovery.
Background
At present, the scrapped rolling stock contains abundant material resources, and the recycling of the scrapped rolling stock can bring considerable economic benefits. The existing method for recycling and counting the railway vehicles in the rail transit industry has no high efficiency, and because the relevant data information of the parts of the structure of the railway vehicles is more complicated, data omission or misfilling is easily caused by a mode that a large amount of manual statistics is needed for recycling and counting the railway vehicles, so that the calculation is inaccurate.
Disclosure of Invention
The invention provides a data processing method for rail vehicle recovery, which is used for solving the defects that in the prior art, no efficient recovery statistical method exists in the rail traffic industry, the data information related to parts of the structure of a rail vehicle is more complicated, and the recovery calculation of the rail vehicle needs a large amount of manual statistics, so that data omission or misfilling is easily caused, and the calculation is inaccurate.
The invention also provides a data processing device for rail vehicle recovery.
The invention also provides an electronic device.
The present invention further provides a computer program product.
According to a first aspect of the present invention, there is provided a data processing method for rail vehicle recovery, comprising:
responding to a recovery signal of a rail vehicle, and acquiring vehicle parameter information of the rail vehicle;
extracting a supplier feature vector in the vehicle parameter information, wherein the supplier feature vector points to a supplier of the rail vehicle;
sending the vehicle parameter information to a corresponding supplier according to the supplier feature vector;
and acquiring a recovery list fed back by the supplier, and generating a recovery decision according to the recovery list.
According to an embodiment of the present invention, the step of acquiring the vehicle parameter information of the rail vehicle in response to the recovery signal of the rail vehicle specifically includes:
acquiring an identification code of the rail vehicle, and generating a first parameter characteristic according to the identification code;
acquiring self-research piece information of the rail vehicle, and generating a second parameter characteristic according to the self-research piece information;
acquiring outsourcing part information of the rail vehicle, and generating a third parameter characteristic according to the outsourcing part information;
and generating the vehicle parameter information according to the first parameter characteristic, the second parameter characteristic and the third parameter characteristic.
Specifically, the present embodiment provides an implementation manner for acquiring the vehicle parameter information of the rail vehicle, in which the rail vehicle parameter information of the rail vehicle is classified according to the identification code, the self-research information and the outsourcing information, so that the corresponding rail vehicle can be identified by the identification code, and the self-research information and the outsourcing information in the rail vehicle can be extracted, thereby generating the vehicle parameter information.
In a possible embodiment, the self-developed part information includes parts, components, complete machine equipment or corresponding mechanisms which are developed autonomously, designed autonomously, machined autonomously and produced autonomously on the rail vehicle.
In a possible embodiment, the outsourced part information comprises outsourced, outsourced and outsourced processed accessories, parts, complete machine equipment or corresponding mechanisms on the rail vehicle.
According to an embodiment of the present invention, the extracting a supplier feature vector in the vehicle parameter information, wherein the step of the supplier feature vector pointing to a supplier of the rail vehicle specifically includes:
acquiring the suppliers corresponding to the purchased part information, forming a supplier list according to all the suppliers, and judging;
determining that the outsourced part information corresponds to the suppliers in the supplier list one by one, and generating a first supplier parameter according to the outsourced part information and the supplier list;
determining that one outsource component corresponds to at least two suppliers in the supplier list, and generating a second supplier parameter according to the outsource component information and the supplier list;
and generating the supplier feature vector according to the first supplier parameter and/or the second supplier parameter.
Specifically, the embodiment provides an implementation manner for extracting the supplier feature vector in the vehicle parameter information, all supplier information is extracted through the outsourced part information, a supplier list is formed according to all suppliers, each outsourced part information is further matched, a comparison result between the outsourced part information and the supplier list is obtained, and a first supplier parameter and a second supplier parameter are generated according to the comparison result.
It should be noted that all suppliers are screened through the outsourcing information, and then the supplier list formed by all suppliers is matched with each outsourcing information according to the supplier list, so that the operation efficiency of the whole algorithm is improved, the complicated algorithm that each outsourcing information is counted and then the counting result is classified is avoided, and the calculation capacity of the system is improved.
In a possible embodiment, the outsourced part information may include that at least two suppliers supply or cooperate, for example, the motor and the reducer may be classified as power classified outsourced parts, but the motor and the reducer may be from two suppliers, so that a special algorithm is required for a case that a plurality of suppliers correspond to one outsourced part.
According to an embodiment of the present invention, the step of generating the supplier feature vector according to the first supplier parameter and/or the second supplier parameter specifically includes:
acquiring a supplier identification code, a name parameter, a unit weight parameter, a quantity parameter, a material parameter and a total weight parameter of the outsourcing part information;
constructing a statistical ledger of the outsourcing item information according to the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, wherein the statistical ledger comprises a key value and a corresponding numerical value, the key value points to the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, and the numerical value is a parameter item required to be filled by the corresponding supplier;
determining that the statistical ledger contains a unique supplier identification code, and generating the first supplier parameter according to the statistical ledger;
and if the statistical ledger contains at least two supplier identification codes, repeatedly screening the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, determining that all the supplier identification codes correspond to the unique name parameter, unit weight parameter, quantity parameter, material parameter and total weight parameter, updating the statistical ledger, and generating the second supplier parameter according to the updated statistical ledger.
Specifically, the present embodiment provides an implementation manner for generating the supplier feature vector according to the first supplier parameter and/or the second supplier parameter, and the generation of the first supplier parameter and the second supplier parameter is realized by obtaining a supplier identification code, a name parameter, a unit weight parameter, a quantity parameter, a material parameter, and a total weight parameter.
In a possible embodiment, for the generation of the first supplier parameter and the second supplier parameter, a preliminary screening may be performed according to a supplier list, and the generation of the first supplier parameter and the second supplier parameter is directly performed on the basis of the preliminary screening of the outsourced part information, according to the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter.
In a possible embodiment, for the generation of the first and second supplier parameters, the preliminary screening of the supplier list may also be skipped, a statistical ledger of outsources is constructed from the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, and the generation of the first and second supplier parameters is performed on the basis of the supplier identification code within the statistical ledger.
In a possible implementation mode, the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter in the statistical account book are respectively and correspondingly allocated with key values, and the numerical value corresponding to the key values is a parameter item to be filled by the corresponding supplier.
In a possible embodiment, the key value in the vendor id is G001, and the numerical operation required by the vendor is to confirm whether G001 corresponding to the key value is the vendor id of the corresponding vendor.
In a possible embodiment, the key value in the provider identifier is G001, and the numerical operation required by the provider is to refill the key value, but before the provider is completely filled, the key value is completely or partially hidden, so that the provider needs to input a correct key value to confirm the identity.
In a possible implementation manner, the key value in the name parameter is a heat sink, and the numerical value corresponding to the key value to be filled by the supplier is information such as a specific model, a serial number, an identification number, and a production date of the heat sink.
In a possible embodiment, the key value of the unit weight parameter is kg, and the supplier needs to fill in a value corresponding to the key value, for example, 10 kg.
In a possible embodiment, the number parameter has one key, and the supplier needs to fill in a value corresponding to the key, for example, 3.
In a possible embodiment, the key value of the gross weight parameter is kg, and the supplier needs to fill in a value corresponding to the key value, for example, 30 kg.
In a possible embodiment, the key value of the material parameter is a material tree, and the supplier selects the corresponding material according to the material tree.
In a possible embodiment, the outsourced part information further comprises a custom parameter, and the operator and the supplier can customize the parameter according to needs.
According to an embodiment of the present invention, the step of sending the vehicle parameter information to the corresponding supplier according to the supplier feature vector specifically includes:
constructing a block ledger from all of the statistical ledgers, the block ledger comprising a first block pointer and a second block pointer, the first block pointer pointing to the vendor identification code, the second block pointer pointing to the name parameter, the unit weight parameter, the quantity parameter, the material parameter, and the total weight parameter;
generating first broadcast information corresponding to the provider according to the first block pointer, and adding a verification key to the second block pointer;
and broadcasting the first broadcast information in a network, and sending the verification key to the corresponding supplier according to the first block pointer.
Specifically, this embodiment provides an implementation scheme for sending the vehicle parameter information to the corresponding supplier according to the supplier feature vector, and by constructing a block ledger, a task is broadcast in a network, and the supplier searches for the corresponding block ledger according to the corresponding first block pointer, and then makes a corresponding recycle list.
In a possible embodiment, the block book includes all outsourcing article information, each outsourcing article information corresponds to one first block pointer or a plurality of first block pointers, and after a task is broadcasted in the network, a supplier traverses the corresponding first block pointers to implement the production of the recycle list.
In a possible embodiment, the supplier completes the production of the recycle list by filling in the second block index with respect to the corresponding name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter.
In a possible implementation manner, since a broadcast task is issued in the network, a verification key is required to ensure the security of the block account book, the verification key is matched with the second block pointer, that is, when reading, filling or other operations corresponding to the second block pointer are required, the verification key is required to be input, after being generated, the verification key is sent to a provider in the form of a mobile phone short message, a mail or the like, and after the provider acquires the block account book through the corresponding first block pointer, the provider realizes the operation on the second block pointer through the verification key.
According to an embodiment of the present invention, the step of obtaining the recycling list fed back by the supplier and generating a recycling decision according to the recycling list specifically includes:
acquiring a feedback ledger from the supplier broadcast, and extracting a first feedback pointer and a second feedback pointer in the feedback ledger, wherein the first feedback pointer points to the supplier identification code, and the second feedback pointer points to the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter;
acquiring the supplier identification code pointed by the first feedback pointer and judging;
determining that all the suppliers in the supplier list are matched with the first feedback pointers, and generating the recovery list according to second feedback pointers in the feedback account book;
determining that at least one provider in the provider list is not matched with the first feedback pointer, updating the block ledger according to the first feedback pointer and the second feedback pointer in the feedback ledger, generating second broadcast information corresponding to the provider according to the first block pointer of the updated block ledger, and adding a verification key according to the second block pointer of the updated block ledger;
and broadcasting the second broadcast information in a network, and sending the verification key to the corresponding supplier according to the first block pointer, wherein the updated block book is linked to the first block pointer of the previous block book through the first feedback pointer.
Specifically, the embodiment provides an implementation manner for generating a recovery decision according to the recovery list, and the matching between the supplier and the recovery list of the outsourced parts is realized by acquiring the feedback account book of the supplier and extracting the first feedback pointer and the second feedback pointer in the feedback account book, so that the working efficiency is improved, and the statistics on the information of the outsourced parts is facilitated.
In a possible embodiment, when all the suppliers in the supplier list match the first feedback pointer, it indicates that all the suppliers are completely filled, so that the task broadcast of the block ledger can be ended, and the generation procedure of the recycling decision can be directly entered.
In a possible implementation manner, when a provider in the provider list has a condition that the first feedback pointer is not matched, task broadcasting of the block account book needs to be performed again, but when the task broadcasting is performed, the problem that the previous provider who fills out the recycled bill modifies is avoided, the system does not perform statistics or omission, so that the next block account book is linked with the previous block account book, the provider is guaranteed to perform corresponding operations all the time in the latest broadcasting task, and the block account book is prevented from being confused.
According to an embodiment of the present invention, the step of obtaining the recycling list fed back by the supplier and generating a recycling decision according to the recycling list specifically includes:
acquiring a recycling coefficient corresponding to the rail vehicle according to the first parameter characteristic;
generating a first correction recovery list according to the recovery utilization coefficient and the second parameter characteristic;
generating a second correction recovery list according to the recovery utilization coefficient and the recovery list;
and generating the recycling decision according to the first corrected recycling list and the second corrected recycling list, wherein the recycling decision at least comprises a preprocessing strategy, a disassembling strategy and a crushing strategy for recycling the rail vehicle.
Specifically, the present embodiment provides another implementation manner for generating a recycling decision according to the recycling list, in which a corresponding recycling coefficient is obtained according to a first parameter characteristic, that is, an identification code of a rail vehicle, so that recycling of the rail vehicle is more in line with actual requirements, and the recycling coefficient may be set according to each piece of self-research information and each piece of outsourcing information, or may be set according to materials, and has a corresponding modification interface.
In a possible implementation manner, the recycling coefficient of the whole vehicle can be acquired according to the first parameter characteristic, and a first corrected recycling list and a second corrected recycling list are generated according to the recycling coefficient of the whole vehicle.
In a possible embodiment, a plurality of recycling coefficients corresponding to the characteristics of the self-research item information, the outsourced item information, the installation location, the service life, the material, the type and the like may be acquired according to the first parameter characteristics, and the first corrected recycling list and the second corrected recycling list may be generated according to the plurality of recycling coefficients.
In a possible implementation manner, after the recycling coefficient is obtained according to the first parameter characteristic, an interface for adjusting the recycling coefficient is provided, and an operator can adjust the obtained recycling coefficient in real time according to an actual situation, so that the calculation of the recycling of the rail vehicle is closer to an actual requirement.
According to a second aspect of the present invention there is provided a data processing apparatus for rail vehicle recovery, comprising: the system comprises a signal response module, a feature extraction module, a supplier declaration module and a decision generation module;
the signal response module is used for responding to a recovery signal of the rail vehicle and acquiring vehicle parameter information of the rail vehicle;
the feature extraction module is used for extracting a supplier feature vector in the vehicle parameter information, wherein the supplier feature vector points to a supplier of the rail vehicle;
the supplier declaration module is used for sending the vehicle parameter information to a corresponding supplier according to the supplier feature vector;
and the decision generation module is used for acquiring a recovery list fed back by the supplier and generating a recovery decision according to the recovery list.
According to a third aspect of the present invention, there is provided an electronic apparatus comprising: a memory and a processor;
the memory and the processor complete mutual communication through a bus;
the memory stores computer instructions executable on the processor;
when the processor calls the computer instructions, the data processing method for rail vehicle recovery can be executed.
According to a fourth aspect of the invention, a computer program product is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned data processing method for rail vehicle recovery.
One or more technical solutions in the present invention have at least one of the following technical effects: according to the data processing method, device, equipment and product for rail vehicle recovery, the BOM management, the supplier assistance and the data auditing of rail vehicles are integrated, a set of complete vehicle recovery data processing flow is provided, high-efficiency rail vehicle recovery calculation is achieved, and the problems of low result accuracy and low calculation efficiency caused by large data volume, material classification, difficult statistics, complex calculation process and the like in manual calculation are solved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow diagram of a data processing method for rail vehicle recycling provided by the present invention;
FIG. 2 is a schematic diagram of a data processing device for rail vehicle recycling according to the present invention;
fig. 3 is a schematic structural diagram of an electronic device provided in the present invention.
Reference numerals:
10. a signal response module; 20. a feature extraction module; 30. a supplier declaration module; 40. a decision generation module; 810. a processor; 820. a communication interface; 830. a memory; 840. a communication bus.
Detailed Description
The present invention is described in detail below with reference to the drawings, and the specific operation methods in the method embodiments can also be applied to the apparatus embodiments or the system embodiments. In the description of the present invention, "at least one" includes one or more unless otherwise specified. "plurality" means two or more. For example, at least one of A, B and C, comprising: a alone, B alone, a and B in combination, a and C in combination, B and C in combination, and A, B and C in combination. In the present invention, "/" indicates "or" means, for example, A/B may indicate A or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The present invention will be described in detail with reference to the following embodiments.
In some embodiments of the present invention, as shown in fig. 1, the present solution provides a data processing method for rail vehicle recycling, comprising:
responding to a recovery signal of the rail vehicle, and acquiring vehicle parameter information of the rail vehicle;
extracting a supplier feature vector in the vehicle parameter information, wherein the supplier feature vector points to a supplier of the rail vehicle;
sending the vehicle parameter information to a corresponding supplier according to the supplier feature vector;
and acquiring a recovery list fed back by the supplier, and generating a recovery decision according to the recovery list.
In detail, the invention provides a data processing method for rail vehicle recovery, which is used for solving the defects that in the prior art, no efficient recovery statistical method exists in the rail transit industry, the data information related to parts of the structure of a rail vehicle is more complicated, and a large amount of manual statistics is needed for recovery calculation of the rail vehicle, so that data omission or misfilling is easily caused, and calculation is inaccurate.
It should be noted that the recycling list includes specific details of each component that can be recycled in the rail vehicle provided by the supplier, including a name parameter, a unit weight parameter, a quantity parameter, a material parameter, a total weight parameter, and the like.
In a possible embodiment, the recycle list includes recycle modes and recycle data according to each component.
In a possible embodiment, the supplier splits the relevant parts in the rail vehicle into uniform materials, i.e. the recycling for the parts in the recycling list is listed in uniform materials.
In a possible embodiment, the relevant parts in the rail vehicle are classified according to the recycling grade by the supplier, that is, the recycling of the parts in the recycling list is listed according to the recycling benefit grade of the parts.
In some possible embodiments of the present invention, the step of obtaining the vehicle parameter information of the rail vehicle in response to the recovery signal of the rail vehicle specifically includes:
acquiring an identification code of a rail vehicle, and generating a first parameter characteristic according to the identification code;
acquiring self-research piece information of the rail vehicle, and generating a second parameter characteristic according to the self-research piece information;
acquiring outsourcing part information of the rail vehicle, and generating a third parameter characteristic according to the outsourcing part information;
and generating vehicle parameter information according to the first parameter characteristic, the second parameter characteristic and the third parameter characteristic.
Specifically, the present embodiment provides an implementation manner for acquiring vehicle parameter information of a rail vehicle, in which rail vehicle parameter information of a rail vehicle is classified according to an identification code, self-research information and outsourcing information, so that the corresponding rail vehicle can be identified by the identification code, and the self-research information and outsourcing information in the rail vehicle can be extracted, thereby generating the vehicle parameter information.
In a possible embodiment, the self-developed part information includes parts, components, complete machine equipment or corresponding mechanisms which are developed autonomously, designed autonomously, machined autonomously and produced autonomously on the rail vehicle.
In a possible embodiment, the outsourced part information comprises outsourced, outsourced and outsourced processed accessories, parts, complete machine equipment or corresponding mechanisms on the rail vehicle.
In some possible embodiments of the present invention, the step of extracting a supplier feature vector in the vehicle parameter information, where the supplier feature vector points to a supplier of the rail vehicle specifically includes:
acquiring suppliers corresponding to outsourcing part information, forming a supplier list according to all the suppliers, and judging;
determining that the outsourcing part information corresponds to suppliers in the supplier list one by one, and generating a first supplier parameter according to the outsourcing part information and the supplier list;
determining that one outsourced part corresponds to at least two suppliers in the supplier list, and generating a second supplier parameter according to the outsourced part information and the supplier list;
and generating a supplier feature vector according to the first supplier parameter and/or the second supplier parameter.
Specifically, the embodiment provides an implementation manner for extracting a supplier feature vector in vehicle parameter information, all supplier information is extracted through outsourced part information, a supplier list is formed according to all suppliers, each outsourced part information is further matched, a comparison result between the outsourced part information and the supplier list is obtained, and a first supplier parameter and a second supplier parameter are generated according to the comparison result.
It should be noted that all suppliers are screened through the outsourcing information, and then the supplier list formed by all suppliers is matched with each outsourcing information according to the supplier list, so that the operation efficiency of the whole algorithm is improved, the complicated algorithm that each outsourcing information is counted and then the counting result is classified is avoided, and the calculation capacity of the system is improved.
In a possible embodiment, the outsourced part information may include that at least two suppliers supply or cooperate, for example, the motor and the reducer may be classified as power classified outsourced parts, but the motor and the reducer may be from two suppliers, so that a special algorithm is required for a case that a plurality of suppliers correspond to one outsourced part.
In some possible embodiments of the present invention, the step of generating the supplier feature vector according to the first supplier parameter and/or the second supplier parameter specifically includes:
acquiring a supplier identification code, a name parameter, a unit weight parameter, a quantity parameter, a material parameter and a total weight parameter of outsourcing spare information;
constructing a statistical book of outsourcing purchase item information according to the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, wherein the statistical book comprises a key value and a corresponding numerical value, the key value points to the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, and the numerical value is a parameter item required to be filled by the corresponding supplier;
determining that the statistical account book contains a unique supplier identification code, and generating a first supplier parameter according to the statistical account book;
and determining that the statistical ledger contains at least two supplier identification codes, repeatedly screening the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, determining that all the supplier identification codes correspond to the unique name parameter, unit weight parameter, quantity parameter, material parameter and total weight parameter, updating the statistical ledger, and generating a second supplier parameter according to the updated statistical ledger.
Specifically, the present embodiment provides an implementation manner for generating a supplier feature vector according to a first supplier parameter and/or a second supplier parameter, and the generation of the first supplier parameter and the second supplier parameter is realized by acquiring a supplier identification code, a name parameter, a unit weight parameter, a quantity parameter, a material parameter, and a total weight parameter.
In a possible embodiment, for the generation of the first supplier parameter and the second supplier parameter, a preliminary screening may be performed according to a supplier list, and the generation of the first supplier parameter and the second supplier parameter is directly performed on the basis of the preliminary screening of the outsourced part information, according to the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter.
In a possible embodiment, for the generation of the first and second supplier parameters, the preliminary screening of the supplier list may also be skipped, a statistical ledger of outsources is constructed from the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, and the generation of the first and second supplier parameters is performed on the basis of the supplier identification code within the statistical ledger.
In a possible implementation mode, the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter in the statistical account book are respectively and correspondingly allocated with key values, and the numerical value corresponding to the key values is a parameter item to be filled by the corresponding supplier.
In a possible embodiment, the key value in the vendor id is G001, and the numerical operation required by the vendor is to confirm whether G001 corresponding to the key value is the vendor id of the corresponding vendor.
In a possible embodiment, the key value in the provider identifier is G001, and the numerical operation required by the provider is to refill the key value, but before the provider is completely filled, the key value is completely or partially hidden, so that the provider needs to input a correct key value to confirm the identity.
In a possible implementation manner, the key value in the name parameter is a heat sink, and the numerical value corresponding to the key value to be filled by the supplier is information such as a specific model, a serial number, an identification number, and a production date of the heat sink.
In a possible embodiment, the key value of the unit weight parameter is kg, and the supplier needs to fill in a value corresponding to the key value, for example, 10 kg.
In a possible embodiment, the number parameter has one key, and the supplier needs to fill in a value corresponding to the key, for example, 3.
In a possible embodiment, the key value of the gross weight parameter is kg, and the supplier needs to fill in a value corresponding to the key value, for example, 30 kg.
In a possible embodiment, the key value of the material parameter is a material tree, and the supplier selects the corresponding material according to the material tree.
In a possible embodiment, the outsourced part information further comprises a custom parameter, and the operator and the supplier can customize the parameter according to needs.
In some possible embodiments of the present invention, the step of sending the vehicle parameter information to the corresponding supplier according to the supplier feature vector specifically includes:
constructing a block ledger according to all the statistical ledgers, wherein the block ledger comprises a first block pointer and a second block pointer, the first block pointer points to a supplier identification code, and the second block pointer points to a name parameter, a unit weight parameter, a quantity parameter, a material parameter and a total weight parameter;
generating first broadcast information corresponding to a provider according to the first block pointer, and adding a verification key to the second block pointer;
and broadcasting the first broadcast information in the network, and sending the verification key to a corresponding supplier according to the first block pointer.
Specifically, this embodiment provides an implementation scheme for sending vehicle parameter information to a corresponding provider according to a provider feature vector, and by constructing a block book, a task is broadcast in a network, and the provider searches for the corresponding block book according to a corresponding first block pointer, and then makes a corresponding recycle list.
In a possible embodiment, the block book includes all outsourcing article information, each outsourcing article information corresponds to one first block pointer or a plurality of first block pointers, and after a task is broadcasted in the network, a supplier traverses the corresponding first block pointers to implement the production of the recycle list.
In a possible embodiment, the supplier completes the production of the recycle list by filling in the second block index for the corresponding name parameter, unit weight parameter, quantity parameter, material parameter and total weight parameter.
In a possible implementation manner, since a broadcast task is issued in the network, a verification key is required to ensure the security of the block account book, the verification key is matched with the second block pointer, that is, when reading, filling or other operations corresponding to the second block pointer are required, the verification key is required to be input, after being generated, the verification key is sent to a provider in the form of a mobile phone short message, a mail or the like, and after the provider acquires the block account book through the corresponding first block pointer, the provider realizes the operation on the second block pointer through the verification key.
In some possible embodiments of the present invention, the step of obtaining a recycling list fed back by a provider and generating a recycling decision according to the recycling list specifically includes:
acquiring a feedback account book broadcasted from a supplier, and extracting a first feedback pointer and a second feedback pointer in the feedback account book, wherein the first feedback pointer points to a supplier identification code, and the second feedback pointer points to a name parameter, a unit weight parameter, a quantity parameter, a material parameter and a total weight parameter;
acquiring a supplier identification code pointed by the first feedback pointer and judging;
determining that all suppliers in the supplier list are matched with the first feedback pointers, and generating a recovery list according to the second feedback pointers in the feedback account book;
determining that at least one supplier is not matched with the first feedback pointer in the supplier list, updating the block ledger according to the first feedback pointer and the second feedback pointer in the feedback ledger, generating second broadcast information corresponding to the supplier according to the first block pointer of the updated block ledger, and adding a verification key according to the second block pointer of the updated block ledger;
and broadcasting the second broadcast information in the network, and sending the verification key to a corresponding supplier according to the first block pointer, wherein the updated block account is linked to the first block pointer of the previous block account through the first feedback pointer.
Specifically, the embodiment provides an implementation manner for generating a recycling decision according to a recycling list, and by acquiring a feedback account book of a supplier and extracting a first feedback pointer and a second feedback pointer therein, matching between the supplier and the recycling list of outsourced parts is realized, so that the working efficiency is improved, and statistics on information of the outsourced parts is facilitated.
In a possible embodiment, when all the suppliers in the supplier list match the first feedback pointer, it indicates that all the suppliers are completely filled, so that the task broadcast of the block ledger can be ended, and the generation procedure of the recycling decision can be directly entered.
In a possible implementation manner, when a provider in the provider list has a condition that the first feedback pointer is not matched, task broadcasting of the block account book needs to be performed again, but when the task broadcasting is performed, the problem that the previous provider who fills out the recycled bill modifies is avoided, the system does not perform statistics or omission, so that the next block account book is linked with the previous block account book, the provider is guaranteed to perform corresponding operations all the time in the latest broadcasting task, and the block account book is prevented from being confused.
In a possible implementation manner, the method further includes a fourth parameter feature for checking a feedback account book of the provider, where the fourth parameter feature includes a preset provider identification code, a name parameter, a unit weight parameter, a quantity parameter, a material parameter, and a total weight parameter corresponding to outsourcing article information, and the feedback account book sent back by the provider can be checked through the fourth parameter feature, after the check is passed, it is determined that the feedback account book sent by the provider is qualified, if at least one of the provider identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter, and the total weight parameter corresponding to the feedback account book and the fourth parameter feature is not matched, it is indicated that the feedback account book is wrong, a new block account book is generated based on the wrong feedback account book, and task broadcasting is performed again in the network, and a prompt is sent to the corresponding provider at the same time.
In some possible embodiments of the present invention, the step of obtaining a recycling list fed back by a provider and generating a recycling decision according to the recycling list specifically includes:
acquiring a recycling coefficient of the corresponding rail vehicle according to the first parameter characteristic;
generating a first correction recovery list according to the recovery utilization coefficient and the second parameter characteristic;
generating a second correction recovery list according to the recovery utilization coefficient and the recovery list;
and generating a recovery decision according to the first corrected recovery list and the second corrected recovery list, wherein the recovery decision at least comprises a preprocessing strategy, a disassembling strategy and a crushing strategy for recovering the rail vehicle.
Specifically, the present embodiment provides another implementation manner for generating a recycling decision according to a recycling list, in which a corresponding recycling coefficient is obtained according to a first parameter characteristic, that is, an identification code of a rail vehicle, so that recycling of the rail vehicle is more in line with actual requirements, and the recycling coefficient may be set according to information of each self-researched part and information of each outsourced part, or may be set according to materials, and has a corresponding modification interface.
In a possible implementation manner, the recycling coefficient of the whole vehicle can be acquired according to the first parameter characteristic, and a first corrected recycling list and a second corrected recycling list are generated according to the recycling coefficient of the whole vehicle.
In a possible embodiment, a plurality of recycling coefficients corresponding to the characteristics of the self-research item information, the outsourced item information, the installation location, the service life, the material, the type and the like may be acquired according to the first parameter characteristics, and the first corrected recycling list and the second corrected recycling list may be generated according to the plurality of recycling coefficients.
In a possible implementation manner, after the recycling coefficient is obtained according to the first parameter characteristic, an interface for adjusting the recycling coefficient is provided, and an operator can adjust the obtained recycling coefficient in real time according to an actual situation, so that the calculation of the recycling of the rail vehicle is closer to an actual requirement.
In a possible embodiment, the pretreatment strategy, the disassembly strategy and the pulverization strategy for the recovery of the rail vehicle are developed based on the standard of ISO22628, and specifically include:
step one, setting a component or a part to be processed in a pretreatment stage;
step two, setting components or parts to be processed in the disassembling stage;
step three, the system automatically sets the rest components or parts, and the material weight of the metal in the material category is counted according to the material data information;
step four, the system automatically sets the residual nonmetal, and the weight of the reusable or energy-recoverable material is counted according to the recycling performance of the nonmetal material preset in the basic database;
and step five, the system calculates the reutilization rate and the recoverable utilization rate through an embedded calculation formula.
In a possible implementation, the preprocessing strategy, the dismantling strategy and the crashing strategy for recycling the rail vehicle are developed based on UNIFE standards, and specifically include:
step one, setting a component or a part to be processed in a pretreatment stage;
step two, setting components or parts to be processed in the disassembling stage;
step three, the system automatically sets the rest components or parts as a crushing stage;
step four, the system automatically counts the weight of the material category of each recycling stage according to the material data information, and automatically matches the preset UNIFE material recycling coefficient in the basic database, so that the reusable and recyclable weight of each material category can be calculated;
and step five, the system calculates the reutilization rate and the recoverable utilization rate through an embedded calculation formula.
In a possible embodiment, the pretreatment strategy, the disassembly strategy and the pulverization strategy for the recovery of the rail vehicle are developed based on the standard of ISO21106, and specifically include:
step one, setting a component or a part to be processed in a pretreatment stage;
step two, setting components or parts to be processed in the disassembling stage;
step three, the system automatically sets the rest components or parts as a crushing stage;
step four, because the standard does not stipulate the material recycling coefficient, this step can set up the material recycling coefficient and save it as the self-defined coefficient in addition, can also refer to the UNIFE material recycling coefficient in the basic database directly, can calculate every material classification and reusable weight;
and step five, the system calculates the reutilization rate and the recoverable utilization rate through an embedded calculation formula.
In some embodiments of the present invention, as shown in fig. 2, the present solution provides a data processing apparatus for rail vehicle recycling, comprising: a signal response module 10, a feature extraction module 20, a supplier declaration module 30, and a decision generation module 40.
The signal response module 10 is used for responding to a recovery signal of the rail vehicle and acquiring vehicle parameter information of the rail vehicle.
The feature extraction module 20 is configured to extract a supplier feature vector in the vehicle parameter information, where the supplier feature vector points to a supplier of the rail vehicle.
The supplier declaration module 30 is configured to send the vehicle parameter information to the corresponding supplier according to the supplier feature vector.
The decision generating module 40 is configured to obtain a recycling list fed back by the provider, and generate a recycling decision according to the recycling list.
Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may invoke logic instructions in the memory 830 to perform a data processing method for rail vehicle recovery, the method comprising:
responding to a recovery signal of the rail vehicle, and acquiring vehicle parameter information of the rail vehicle;
extracting a supplier feature vector in the vehicle parameter information, wherein the supplier feature vector points to a supplier of the rail vehicle;
sending the vehicle parameter information to a corresponding supplier according to the supplier feature vector;
and acquiring a recovery list fed back by the supplier, and generating a recovery decision according to the recovery list.
It should be noted that, when being implemented specifically, the electronic device in this embodiment may be a server, a PC, or other devices, as long as the structure includes the processor 810, the communication interface 820, the memory 830, and the communication bus 840 shown in fig. 3, where the processor 810, the communication interface 820, and the memory 830 complete mutual communication through the communication bus 840, and the processor 810 may call the logic instructions in the memory 830 to execute the above method. The embodiment does not limit the specific implementation form of the electronic device.
The server may be a single server or a server group. The set of servers can be centralized or distributed (e.g., the servers can be a distributed system). In some embodiments, the server may be local or remote to the terminal. For example, the server may access information stored in the user terminal, a database, or any combination thereof via a network. As another example, the server may be directly connected to at least one of the user terminal and the database to access information and/or data stored therein. In some embodiments, the server may be implemented on a cloud platform; by way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud (community cloud), a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof. In some embodiments, the server and the user terminal may be implemented on an electronic device having one or more components in embodiments of the invention.
Further, the network may be used for the exchange of information and/or data. In some embodiments, one or more components (e.g., servers, user terminals, and databases) in an interaction scenario may send information and/or data to other components. In some embodiments, the network may be any type of wired or wireless network, or combination thereof. Merely by way of example, the Network may include a wired Network, a Wireless Network, a fiber optic Network, a telecommunications Network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a Public Switched Telephone Network (PSTN), a bluetooth Network, a ZigBee Network, or a Near Field Communication (NFC) Network, among others, or any combination thereof. In some embodiments, the network may include one or more network access points. For example, the network may include wired or wireless network access points, such as base stations and/or network switching nodes, through which one or more components of the interaction scenario may connect to the network to exchange data and/or information.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In a possible implementation manner, the embodiment of the present invention further provides a non-transitory computer readable storage medium, on which a computer program is stored, which is implemented by a processor to execute the data processing method for rail vehicle recycling provided by the above embodiments.
In a possible implementation, the embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions, and when the program instructions are executed by a computer, the computer is capable of executing the method provided by the above-mentioned method embodiments.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A data processing method for rail vehicle recovery, comprising:
responding to a recovery signal of a rail vehicle, and acquiring vehicle parameter information of the rail vehicle;
extracting a supplier feature vector in the vehicle parameter information, wherein the supplier feature vector points to a supplier of the rail vehicle;
sending the vehicle parameter information to a corresponding supplier according to the supplier feature vector;
and acquiring a recovery list fed back by the supplier, and generating a recovery decision according to the recovery list.
2. The data processing method for rail vehicle recovery according to claim 1, wherein the step of acquiring the vehicle parameter information of the rail vehicle in response to the recovery signal of the rail vehicle specifically includes:
acquiring an identification code of the rail vehicle, and generating a first parameter characteristic according to the identification code;
acquiring self-research piece information of the rail vehicle, and generating a second parameter characteristic according to the self-research piece information;
acquiring outsourcing part information of the rail vehicle, and generating a third parameter characteristic according to the outsourcing part information;
and generating the vehicle parameter information according to the first parameter characteristic, the second parameter characteristic and the third parameter characteristic.
3. The data processing method for rail vehicle recycling according to claim 2, wherein the step of extracting a supplier feature vector in the vehicle parameter information, wherein the supplier feature vector points to a supplier of the rail vehicle specifically comprises:
acquiring the suppliers corresponding to the purchased part information, forming a supplier list according to all the suppliers, and judging;
determining that the outsourced part information corresponds to the suppliers in the supplier list one by one, and generating a first supplier parameter according to the outsourced part information and the supplier list;
determining that one outsource component corresponds to at least two suppliers in the supplier list, and generating a second supplier parameter according to the outsource component information and the supplier list;
and generating the supplier feature vector according to the first supplier parameter and/or the second supplier parameter.
4. The data processing method for rail vehicle recycling according to claim 3, wherein the step of generating the supplier feature vector according to the first supplier parameter and/or the second supplier parameter specifically comprises:
acquiring a supplier identification code, a name parameter, a unit weight parameter, a quantity parameter, a material parameter and a total weight parameter of the outsourcing part information;
constructing a statistical ledger of the outsourcing item information according to the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, wherein the statistical ledger comprises a key value and a corresponding numerical value, the key value points to the supplier identification code, the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, and the numerical value is a parameter item required to be filled by the corresponding supplier;
determining that the statistical ledger contains a unique supplier identification code, and generating the first supplier parameter according to the statistical ledger;
and if the statistical ledger contains at least two supplier identification codes, repeatedly screening the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter, determining that all the supplier identification codes correspond to the unique name parameter, unit weight parameter, quantity parameter, material parameter and total weight parameter, updating the statistical ledger, and generating the second supplier parameter according to the updated statistical ledger.
5. The data processing method for rail vehicle recycling according to claim 4, wherein the step of sending the vehicle parameter information to the corresponding supplier according to the supplier feature vector specifically includes:
constructing a block ledger from all of the statistical ledgers, the block ledger comprising a first block pointer and a second block pointer, the first block pointer pointing to the vendor identification code, the second block pointer pointing to the name parameter, the unit weight parameter, the quantity parameter, the material parameter, and the total weight parameter;
generating first broadcast information corresponding to the provider according to the first block pointer, and adding a verification key to the second block pointer;
and broadcasting the first broadcast information in a network, and sending the verification key to the corresponding supplier according to the first block pointer.
6. The data processing method for rail vehicle recycling according to claim 5, wherein the step of obtaining the recycling list fed back by the supplier and generating the recycling decision according to the recycling list specifically comprises:
acquiring a feedback ledger from the supplier broadcast, and extracting a first feedback pointer and a second feedback pointer in the feedback ledger, wherein the first feedback pointer points to the supplier identification code, and the second feedback pointer points to the name parameter, the unit weight parameter, the quantity parameter, the material parameter and the total weight parameter;
acquiring the supplier identification code pointed by the first feedback pointer and judging;
determining that all the suppliers in the supplier list are matched with the first feedback pointers, and generating the recovery list according to second feedback pointers in the feedback account book;
determining that at least one provider in the provider list is not matched with the first feedback pointer, updating the block ledger according to the first feedback pointer and the second feedback pointer in the feedback ledger, generating second broadcast information corresponding to the provider according to the first block pointer of the updated block ledger, and adding a verification key according to the second block pointer of the updated block ledger;
and broadcasting the second broadcast information in a network, and sending the verification key to the corresponding supplier according to the first block pointer, wherein the updated block book is linked to the first block pointer of the previous block book through the first feedback pointer.
7. The data processing method for rail vehicle recycling according to any one of claims 2 to 6, wherein the step of obtaining the recycling list fed back by the supplier and generating the recycling decision according to the recycling list specifically comprises:
acquiring a recycling coefficient corresponding to the rail vehicle according to the first parameter characteristic;
generating a first correction recovery list according to the recovery utilization coefficient and the second parameter characteristic;
generating a second correction recovery list according to the recovery utilization coefficient and the recovery list;
and generating the recycling decision according to the first corrected recycling list and the second corrected recycling list, wherein the recycling decision at least comprises a preprocessing strategy, a disassembling strategy and a crushing strategy for recycling the rail vehicle.
8. A data processing apparatus for rail vehicle recycling, comprising: the system comprises a signal response module, a feature extraction module, a supplier declaration module and a decision generation module;
the signal response module is used for responding to a recovery signal of the rail vehicle and acquiring vehicle parameter information of the rail vehicle;
the feature extraction module is used for extracting a supplier feature vector in the vehicle parameter information, wherein the supplier feature vector points to a supplier of the rail vehicle;
the supplier declaration module is used for sending the vehicle parameter information to a corresponding supplier according to the supplier feature vector;
and the decision generation module is used for acquiring a recovery list fed back by the supplier and generating a recovery decision according to the recovery list.
9. An electronic device, comprising: a memory and a processor;
the memory and the processor complete mutual communication through a bus;
the memory stores computer instructions executable on the processor;
the processor, when invoking the computer instructions, is capable of performing the data processing method for rail vehicle recovery of any of the above claims 1 to 7.
10. A computer program product having a computer program stored thereon, wherein the computer program, when being executed by a processor, is adapted to carry out the steps of the data processing method for rail vehicle recovery of any of the preceding claims 1 to 7.
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