Automobile part information dynamic integration method and system based on collaborative management platform

Abstract

The invention relates to the technical field of information management, in particular to an automobile part information dynamic integration method and system based on a collaborative management platform, and the method comprises the steps: receiving an information input instruction in real time, constructing an input information tree structure based on the information input instruction, and receiving an information output instruction in real time, the method comprises the steps of receiving an information output instruction, retrieving a plurality of initial automobile part supply ends in an input information tree structure based on the information output instruction, confirming a target automobile part supply scheme based on the plurality of initial automobile part supply ends, updating the input information tree structure according to the target automobile part supply scheme, obtaining an updated information tree structure, and sending the updated information tree structure to a server; and acquiring one or more pieces of update information by using one or more target update nodes, and sending the update information tree structure and the one or more pieces of update information to an initiating end of an information integration instruction to realize dynamic integration of the automobile part information. According to the invention, the intelligence of automobile part information management can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to a method and system for dynamically integrating automobile parts information based on a collaborative management platform. Background Art

[0002] With the rapid development of the automobile industry, the types and quantities of auto parts have increased dramatically, and the static auto parts management method can no longer meet the current needs for dynamic updating, regulation and prediction of auto parts. Correspondingly, the ability to dynamically manage auto parts information has become a problem that needs to be solved urgently.

[0003] At present, the management of auto parts often uses manual recording and updating of auto parts information.

[0004] Although the above method can realize the association of automobile parts information, when managing automobile parts information, the automobile parts information to be managed is too large, and a large amount of human resources and energy are consumed when managing automobile parts information. In addition, when managing automobile parts information, there is a problem of unintelligent management of automobile parts information. Therefore, intelligent management of automobile parts information has become a problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a method and system for dynamically integrating automobile parts information based on a collaborative management platform, the main purpose of which is to improve the intelligence of automobile parts information management.

[0006] To achieve the above-mentioned purpose, the present invention provides a method for dynamically integrating automobile parts information based on a collaborative management platform, comprising:

[0007] receiving an information integration instruction, and confirming an information integration environment for integrating automobile parts information based on the information integration instruction, wherein the information integration environment includes an information integration system, one or more automobile parts supply ends and one or more automobile parts demand ends, wherein the automobile parts supply ends each include one or more delivery vehicles for delivering automobile parts, and the information integration system includes: an information input unit and an information feedback unit;

[0008] Using an information input unit to receive information input instructions from one or more automotive parts suppliers in real time, obtaining an input information set based on the information input instructions, wherein the input information set includes a plurality of input information, and constructing an input information tree structure using the input information set;

[0009] Using the information input unit to receive information output instructions from one or more automobile parts demanders in real time, obtaining an output information set based on the information output instructions, wherein the output information set includes one or more output information, and using the output information set to retrieve multiple initial automobile parts suppliers in the input information tree structure;

[0010] Confirming a target auto parts supply plan based on multiple initial auto parts suppliers;

[0011] Update the input information tree structure according to the target automobile parts supply solution to obtain an updated information tree structure, and obtain an automobile parts prediction sequence based on the one or more automobile parts suppliers;

[0012] Based on the automobile parts prediction sequence, one or more target update nodes are extracted from the update information tree structure, and one or more update information are obtained using the one or more target update nodes, wherein the update information corresponds to the target update node one by one;

[0013] The information feedback unit is used to send the update information tree structure and one or more update information to the initiator of the information integration instruction, so as to realize the dynamic integration of automobile parts information.

[0014] Optionally, constructing an input information tree structure using the input information set includes:

[0015] The input information includes: one or more supplied auto parts and auto parts supply addresses, wherein the supplied auto parts include supplied auto parts names, supplied auto parts quantities, supplied auto parts sizes, and supplied auto parts implementation standards, and the input information is sequentially extracted from the input information set, and the following operations are performed on the extracted input information:

[0016] Retrieving an automobile part use location set from a pre-built automobile part use location library using the supplied automobile part name, wherein the automobile part use location set includes one or more automobile part use locations;

[0017] Using the automobile accessory usage position set, a marking operation is performed on the extracted input information to obtain marked input information;

[0018] The identified input information is respectively summarized according to the supplied automobile parts names, supplied automobile parts sizes and supplied automobile parts implementation standards corresponding to the identified input information to obtain one or more input information category sets, and an input information tree structure is constructed based on the one or more input information category sets.

[0019] Optionally, constructing the input information tree structure based on the one or more input information category sets includes:

[0020] The following operations are performed on each of the one or more input information category sets:

[0021] The following operations are performed for each identified input information in the input information category set:

[0022] Associating the identification input information with each of the one or more automobile accessory use positions corresponding to the identification input information to obtain a position part information set, wherein the position part information set includes a plurality of identification input information;

[0023] Based on the position part information set, the position part quantity is obtained, and one or more theoretical parts use positions corresponding to the supplied automobile parts are obtained, with the automobile as the root node, each of the one or more target automobiles obtained in advance as the first-level node, and each of the one or more theoretical parts use positions as the second-level node of the input information tree structure;

[0024] Retrieving a target second node from one or more second-layer nodes corresponding to the input information tree structure using the automobile accessory usage position corresponding to the position part information set, and performing an identification operation on the target second node using the position part information set and the position part quantity to obtain a second target node;

[0025] One or more supplied auto parts names are retrieved from the position part information set corresponding to the second target node, each of the one or more supplied auto parts names is used as a third-level node of the input information tree structure, and the third-level node is identified by using the supplied auto parts quantity, supplied auto parts size, supplied auto parts implementation standard and auto parts supply address corresponding to the supplied auto parts name to obtain a third target node, and the input information tree structure is constructed based on the root node, the first-level node, the second target node and the third target node.

[0026] Optionally, the step of using the output information set to retrieve a plurality of initial automobile parts suppliers in the input information tree structure includes:

[0027] The output information includes: an auto parts demand address and one or more output auto parts, wherein the output auto parts include: an output auto parts name, an output auto parts quantity, an output auto parts size and an output auto parts implementation standard;

[0028] Extract output information from the output information set in sequence, and perform the following operations on the extracted output information:

[0029] Extract output automobile parts from the extracted output information;

[0030] The output automobile parts are used to retrieve a plurality of initial automobile parts suppliers in the input information tree structure.

[0031] Optionally, the step of confirming a target automobile parts supply solution based on a plurality of initial automobile parts suppliers includes:

[0032] Based on the multiple initial automobile parts suppliers, the output automobile parts and the pre-built screening relationship, multiple initial automobile parts supply groups are obtained, wherein the initial automobile parts supply group includes one or more target automobile parts suppliers, and the screening relationship is as follows:

[0033]

[0034] Among them, S i represents the number of output auto parts corresponding to the i-th output auto part in the output information set, (C i ) j represents the number of the i-th output automobile parts corresponding to the j-th target automobile parts supply end in the initial automobile parts supply group, and u represents that there are u target automobile parts supply ends corresponding to the initial automobile parts supply group;

[0035] Sequentially extracting initial automobile parts supply groups from the plurality of initial automobile parts supply groups, and performing the following operations on the extracted initial automobile parts supply groups:

[0036] Acquire an initial supply path based on the automobile parts supply address corresponding to each target automobile parts supply end in the initial automobile parts supply group and the automobile parts demand address corresponding to the output information, and summarize the initial supply paths to obtain an initial supply path set;

[0037] Obtaining a vehicle energy consumption parameter set for delivering auto parts, wherein the vehicle energy consumption parameter set includes one or more vehicle energy consumption parameters, and the vehicle energy consumption parameters include: vehicle fixed energy consumption, vehicle unit energy consumption and reference loading quantity, and the vehicle energy consumption parameters correspond to the types of delivery vehicles one by one;

[0038] Acquire multiple initial automobile parts supply plans using one or more target automobile parts supply ends in the initial automobile parts supply group, wherein the initial automobile parts supply plan includes one or more initial automobile parts supply quantity groups, wherein the initial automobile parts supply quantity groups include one or more initial automobile parts supply quantities, wherein the initial automobile parts supply quantities correspond to the target automobile parts supply ends one by one, and the initial automobile parts supply quantity groups correspond to the output information one by one;

[0039] Sequentially extracting initial automobile parts supply plans from the multiple initial automobile parts supply plans, and performing the following operations on the extracted initial automobile parts supply plans:

[0040] Obtaining a comprehensive energy consumption evaluation value based on the initial supply path set, the vehicle energy consumption parameter set, the extracted initial automobile parts supply plan and the pre-constructed comprehensive energy consumption relationship, and summarizing the comprehensive energy consumption evaluation values ​​to obtain a comprehensive energy consumption evaluation set;

[0041] The target automobile parts supply plan is confirmed by using the comprehensive energy consumption evaluation set, wherein the target automobile parts supply plan is an initial automobile parts supply plan corresponding to the minimum comprehensive energy consumption evaluation value in the comprehensive energy consumption evaluation set.

[0042] Optionally, the comprehensive energy consumption relationship is as follows:

[0043]

[0044] Wherein, Q represents the comprehensive energy consumption evaluation value, d 0k represents the fixed energy consumption of the kth delivery vehicle among one or more delivery vehicles, m k represents the number of the kth type of delivery vehicles among one or more delivery vehicles, n represents the total number of one or more delivery vehicles, u l represents the number of the first type of target delivery vehicles among one or more delivery vehicles, wherein the target delivery vehicles are loaded with the same quantity of supplied auto parts, and the quantity of auto parts loaded by the target delivery vehicles is less than or equal to the reference loading quantity, r l represents the unit energy consumption of the lth target delivery vehicle, e represents the total number of e target delivery vehicles, α l represents the correction factor of the lth target delivery vehicle, and the correction factor is related to the number of auto parts supplied by the delivery vehicle. R It represents the distance corresponding to the Rth initial supply path in the initial supply path set, N is only used for counting, E represents that there are E initial supply paths in the initial supply path set, and G represents that there are G energy consumption values ​​in total.

[0045] Optionally, the step of obtaining a plurality of initial automobile parts supply solutions by using one or more target automobile parts suppliers in the initial automobile parts supply group includes:

[0046] Based on the output automobile parts and one or more target automobile parts suppliers, one or more first automobile parts supplier groups and one or more second automobile parts supplier groups are obtained, wherein the first automobile parts supplier group includes at least two target automobile parts suppliers, and the second automobile parts supplier group includes only one target automobile parts supplier;

[0047] Sequentially extract first automobile parts supply end groups from the one or more first automobile parts supply end groups, and perform the following operations on the extracted first automobile parts supply end groups:

[0048] Using the extracted first automobile parts supply end group, at least two target automobile parts supply quantities are confirmed, wherein the target automobile parts supply quantities correspond one-to-one to the target automobile parts supply ends corresponding to the first automobile parts supply quantities;

[0049] Acquire a supply part quantity combination set based on the at least two target supply auto part quantities, wherein the supply part quantity combination set includes one or more supply part quantity combinations, and the supply part quantity combinations include at least two supply part quantities, and the supply part quantities correspond one-to-one to the target auto part supply ends in the first auto part supply end;

[0050] Summarize the supply accessory quantity combination sets to obtain one or more supply accessory quantity combination sets,

[0051] Extracting second automobile parts supply end groups from one or more second automobile parts supply end groups in sequence, and performing the following operations on the extracted second automobile parts supply end groups:

[0052] Acquire the quantity of second supplied automobile parts based on the extracted second automobile parts supplier group, summarize the second supplied automobile parts quantities, and obtain one or more second supplied automobile parts quantities;

[0053] A plurality of initial automobile parts supply solutions are obtained in a combined manner by using one or more supply parts quantity combination sets and one or more second supply automobile parts quantities.

[0054] Optionally, the obtaining of the automobile parts prediction sequence based on the one or more automobile parts suppliers includes:

[0055] Obtain a prediction model set for prediction, wherein the prediction model set includes a plurality of prediction models, sequentially extract automobile parts suppliers from the one or more automobile parts suppliers, and perform the following operations on the extracted automobile parts suppliers:

[0056] Acquire a predicted supply value set using the extracted automobile parts supplier and the extracted prediction model, wherein the predicted supply value set includes one or more predicted supply values, and the predicted supply values ​​correspond to the supplied automobile parts one by one;

[0057] The predicted supply values ​​are summarized by supplying automobile parts to obtain a supply value set, and the predicted target value is calculated based on the supply value set. The calculation formula is as follows:

[0058]

[0059] Among them, Y Frepresents the predicted target value corresponding to the Fth type of supplied auto parts among one or more supplied auto parts, B w is the preset wth coefficient, V Fw The predicted supply value of the Fth type of supplied automobile parts corresponding to the wth predicted supply value in the supply value set, g means that there are g predicted supply values ​​in the supply value set;

[0060] The predicted target values ​​are summarized to obtain a predicted target value set, and a sorting operation is performed on the predicted target values ​​in the predicted target value set in order from large to small to obtain an automobile parts prediction sequence.

[0061] Optionally, the acquiring one or more update information by using the one or more target update nodes includes:

[0062] Extracting a target parts prediction sequence from the automobile parts prediction sequence, wherein the target parts prediction sequence includes Q target prediction values, and the target prediction values ​​are all greater than or equal to a preset target prediction threshold, wherein Q is an integer greater than or equal to 0;

[0063] One or more update information is obtained using the target component prediction sequence.

[0064] To achieve the above object, the present invention also provides an automobile parts information dynamic integration system based on a collaborative management platform, comprising:

[0065] An information integration environment confirmation module is used to receive an information integration instruction, and confirm an information integration environment for integrating automobile parts information based on the information integration instruction, wherein the information integration environment includes an information integration system, one or more automobile parts supply ends and one or more automobile parts demand ends, wherein the automobile parts supply ends each include one or more delivery vehicles for delivering automobile parts, and the information integration system includes: an information input unit and an information feedback unit;

[0066] An information integration tree structure construction module is used to use the information input unit to receive information input instructions from one or more automobile parts suppliers in real time, obtain an input information set based on the information input instructions, wherein the input information set includes multiple input information, and use the input information set to construct an input information tree structure;

[0067] An information integration tree structure updating module is used to use the information input unit to receive information output instructions from one or more automobile parts demand ends in real time, obtain an output information set based on the information output instructions, wherein the output information set includes one or more output information, and use the output information set to retrieve multiple initial automobile parts supply ends in the input information tree structure;

[0068] Confirming a target auto parts supply plan based on multiple initial auto parts suppliers;

[0069] Update the input information tree structure according to the target automobile parts supply solution to obtain an updated information tree structure, and obtain an automobile parts prediction sequence based on the one or more automobile parts suppliers;

[0070] An integrated result feedback module is used to extract one or more target update nodes in the update information tree structure based on the automobile parts prediction sequence, and obtain one or more update information using the one or more target update nodes, wherein the update information corresponds to the target update node one by one;

[0071] The information feedback unit is used to send the update information tree structure and one or more update information to the initiator of the information integration instruction, so as to realize the dynamic integration of automobile parts information.

[0072] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0073] a memory storing at least one instruction; and

[0074] The processor executes the instructions stored in the memory to implement the above-mentioned method for dynamically integrating automobile parts information based on the collaborative management platform.

[0075] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for dynamically integrating automobile parts information based on a collaborative management platform.

[0076] The present invention is to solve the problem described in the background technology. The present invention uses an information input unit to receive information input instructions from one or more auto parts suppliers in real time, obtains an input information set based on the information input instructions, wherein the input information set includes multiple input information, and uses the input information set to construct an input information tree structure. It can be seen that before constructing the input information tree structure, the embodiment of the present invention considers that the input information tree structure may include one or more target cars and considers that there are differences in the auto parts supply ends corresponding to the auto parts supply, and considers the applicability of the input information identified in the input information category set. Therefore, one or more target cars are used as the first-level nodes to improve the accuracy and intelligence of the input information tree structure, and the target second node is retrieved from one or more second-level nodes to improve the accuracy of constructing the input information tree structure, and the obtained third target node can not only specifically characterize the differences between the auto parts supply ends, but also characterize the connections between the auto parts supply ends, thereby improving the intelligence of constructing the input information tree structure. The present invention uses an information input unit to receive information output instructions from one or more auto parts demand ends in real time, obtains an output information set based on the information output instruction, wherein the output information set includes one or more output information, retrieves multiple initial auto parts supply ends in the input information tree structure using the output information set, and confirms the target auto parts supply plan based on the multiple initial auto parts supply ends. It can be seen that the embodiment of the present invention does not statically implement the integration of the input information tree structure, but dynamically implements the update of the input information tree structure, and can provide a supply plan for auto parts with lower energy consumption in combination with the required energy consumption before updating. The present invention updates the input information tree structure according to the target auto parts supply plan to obtain an update information tree structure, obtains an auto parts prediction sequence based on the one or more auto parts supply ends, extracts one or more target update nodes in the update information tree structure based on the auto parts prediction sequence, and obtains one or more update information using the one or more target update nodes, wherein the update information corresponds to the target update node one by one. It can be seen that the embodiment of the present invention also considers the dynamic prediction of the auto parts that need to be managed by the update information tree structure, and improves the intelligence of the update information tree structure on the basis of being able to intuitively characterize the auto parts information. Therefore, the present invention can improve the intelligence of automobile parts information management. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 A schematic diagram of a process of a method for dynamically integrating automobile parts information based on a collaborative management platform provided by an embodiment of the present invention;

[0078] Figure 2 A functional module diagram of an automobile parts information dynamic integration system based on a collaborative management platform provided by an embodiment of the present invention;

[0079] Figure 3 A schematic diagram of the structure of an electronic device for implementing the method for dynamically integrating automobile parts information based on a collaborative management platform provided in one embodiment of the present invention.

[0080] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0081] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0082] The embodiment of the present application provides a method for dynamically integrating automobile parts information based on a collaborative management platform. The execution subject of the method for dynamically integrating automobile parts information based on a collaborative management platform includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for dynamically integrating automobile parts information based on a collaborative management platform can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0083] Reference Figure 1 FIG. 1 is a flow chart of a method for dynamically integrating automobile parts information based on a collaborative management platform provided by an embodiment of the present invention. In this embodiment, the method for dynamically integrating automobile parts information based on a collaborative management platform includes:

[0084] S1. Receive an information integration instruction, and based on the information integration instruction, confirm an information integration environment for integrating automobile parts information, wherein the information integration environment includes an information integration system, one or more automobile parts supply ends and one or more automobile parts demand ends, wherein the automobile parts supply ends each include one or more delivery vehicles for delivering automobile parts, and the information integration system includes: an information input unit and an information feedback unit.

[0085] It should be explained that the information integration instruction refers to the instruction issued by the person in charge of automobile parts information integration. The information integration system refers to the software or APP used to dynamically integrate automobile parts information. The function of the information integration system is to be able to dynamically update automobile parts information, and to achieve including but not limited to the prediction of automobile parts production, guidance on automobile parts call and guidance on automobile parts demand. The automobile parts supply side refers to the department that produces or supplies automobile parts, including but not limited to: factories that produce automobile parts and their sales departments. The automobile parts demand side refers to the department that sells or uses automobile parts, including but not limited to: automobile repair shops, automobile manufacturers and automobile parts sales departments. Delivery vehicles refer to vehicles used to transport automobile parts at the automobile parts supply side.

[0086] For example, in order to better adapt to the production and call of auto parts, the information integration instruction is jointly issued by one or more auto parts supply ends and one or more auto parts demand ends. After receiving the information integration instruction, Xiao Zhang, a software developer, will develop a software for realizing the integration of auto parts information according to the demand for dynamic integration of auto parts information. The software is the information integration system.

[0087] S2. Using the information input unit to receive information input instructions from one or more auto parts suppliers in real time, obtaining an input information set based on the information input instructions, wherein the input information set includes multiple input information, and using the input information set to construct an input information tree structure.

[0088] It is understandable that the information input instruction is an instruction containing input information. Therefore, parsing the information input instruction can obtain an input information set. The input information refers to the information input by the auto parts supply end, and correspondingly, the output information is the information input by the auto parts demand end, and the input information corresponds to the auto parts supply end one by one.

[0089] It should be understood that the use of the input information set to construct an input information tree structure includes:

[0090] The input information includes: one or more supplied auto parts and auto parts supply addresses, wherein the supplied auto parts include supplied auto parts names, supplied auto parts quantities, supplied auto parts sizes, and supplied auto parts implementation standards, and the input information is sequentially extracted from the input information set, and the following operations are performed on the extracted input information:

[0091] Retrieving an automobile part use location set from a pre-built automobile part use location library using the supplied automobile part name, wherein the automobile part use location set includes one or more automobile part use locations;

[0092] Using the automobile accessory usage position set, a marking operation is performed on the extracted input information to obtain marked input information;

[0093] The identified input information is respectively summarized according to the supplied automobile parts names, supplied automobile parts sizes and supplied automobile parts implementation standards corresponding to the identified input information to obtain one or more input information category sets, and an input information tree structure is constructed based on the one or more input information category sets.

[0094] Furthermore, the supplied auto parts refer to the auto parts that can be supplied or produced by the auto parts supply end. The name of the supplied auto parts refers to the name of the auto parts. For example: engine, piston, etc. The quantity of supplied auto parts refers to the quantity of supplied auto parts. The size of the supplied auto parts refers to the physical size of the supplied auto parts, including but not limited to the length, width and height of the supplied auto parts. The implementation standard of the supplied auto parts refers to the implementation standard of the supplied auto parts produced or supplied. For example: using the national standard as the implementation standard of the auto parts, other technologies can achieve the same effect, which will not be repeated here. The auto parts supply address refers to the address of the auto parts supply end that can supply auto parts. For example: using the shipping address of the auto parts supply end as the auto parts supply address, other technologies can achieve the same effect, which will not be repeated here.

[0095] It should be understood that the auto parts usage location library refers to a database of where auto parts can be used. Optionally, the location where each auto part can be used is identified from a variety of cars, and the auto parts usage location library is constructed based on the location where the auto part can be used. For example: a certain screw with the same other parameters can be used both when installing the engine and when installing the tire. The auto parts usage location corresponding to this screw includes: engine and tire. The auto parts usage location refers to the location where a specific auto part can be used on the car.

[0096] Furthermore, the purpose of using the automobile parts use position set to perform the identification operation on the input information is to more clearly classify the automobile parts in use. For example, a certain input information includes: crankshaft, 40, main journal diameter is 75mm, length is 35mm, GB / T 23339-2018 and place A, and the automobile parts use position corresponding to the crankshaft is: engine and transmission shaft, then the identification input information obtained by performing the identification operation on the input information using the automobile parts use position set is: engine or transmission shaft-crankshaft-40-main journal diameter is 75mm, length is 35mm-GB / T 23339-2018-place A, where crankshaft refers to the name of the supplied automobile parts, 40 refers to the number of supplied automobile parts, main journal diameter is 75mm, length is 35mm indicates the size of the supplied automobile parts, GB / T 23339-2018 indicates the implementation standard of the supplied automobile parts, and place A indicates the supply address of the automobile parts.

[0097] Exemplarily, there are 10 identification input information in total, among which the names of supplied auto parts, sizes of supplied auto parts and implementation standards of supplied auto parts corresponding to the first three identification input information are all the same, and only two of the last four identification input information are the same as the names of supplied auto parts, sizes of supplied auto parts and implementation standards of supplied auto parts corresponding to the first three identification input information, and the remaining identification input information has names of supplied auto parts, sizes of supplied auto parts or implementation standards of supplied auto parts that are different from the names of supplied auto parts, sizes of supplied auto parts and implementation standards of supplied auto parts corresponding to the first three identification input information, and the names of supplied auto parts, sizes of supplied auto parts and implementation standards of supplied auto parts corresponding to the remaining identification input information are all different, then the 10 identification input information can be summarized separately to obtain: 6 input information category sets, among which one input information category set includes 5 identification input information, and the remaining 5 input information category sets each include only one identification input information.

[0098] It should be understood that the constructing of the input information tree structure based on the one or more input information category sets includes:

[0099] The following operations are performed on each of the one or more input information category sets:

[0100] The following operations are performed for each identified input information in the input information category set:

[0101] Associating the identification input information with each of the one or more automobile accessory use positions corresponding to the identification input information to obtain a position part information set, wherein the position part information set includes a plurality of identification input information;

[0102] Based on the position part information set, the position part quantity is obtained, and one or more theoretical parts use positions corresponding to the supplied automobile parts are obtained, with the automobile as the root node, each of the one or more target automobiles obtained in advance as the first-level node, and each of the one or more theoretical parts use positions as the second-level node of the input information tree structure;

[0103] Retrieving a target second node from one or more second-layer nodes corresponding to the input information tree structure using the automobile accessory usage position corresponding to the position part information set, and performing an identification operation on the target second node using the position part information set and the position part quantity to obtain a second target node;

[0104] One or more supplied auto parts names are retrieved from the position part information set corresponding to the second target node, each of the one or more supplied auto parts names is used as a third-level node of the input information tree structure, and the third-level node is identified by using the supplied auto parts quantity, supplied auto parts size, supplied auto parts implementation standard and auto parts supply address corresponding to the supplied auto parts name to obtain a third target node, and the input information tree structure is constructed based on the root node, the first-level node, the second target node and the third target node.

[0105] It is understandable that associating one or more auto part usage locations with the input identification input information respectively means associating the auto part names corresponding to the identification input information that can be applied to the same auto part usage location. For example, if both the first and second auto parts can be used at location A, then both the first and second auto parts are associated with location A; if both the first and third auto parts can be used at location B, then both the first and third auto parts are associated with location B. The purpose of associating identification input information with auto part usage locations is to be able to retrieve one or more auto parts that match the auto part usage location at a certain auto part usage location.

[0106] Furthermore, the position part information set refers to the set of auto parts corresponding to the identification input information that can be used at the auto part use position, and the position part quantity refers to the number of auto parts that can be used at the auto part use position. For example: if 20 auto parts of the first type and 30 auto parts of the second type can be used at position A, the position part quantity corresponding to position A is 50, and if 20 auto parts of the first type and 40 auto parts of the third type can be used at position B, the position part quantity corresponding to position B is 60.

[0107] It is understandable that the target car refers to a car that can use auto parts. The theoretical part use position refers to the position where the auto part can be used. Optionally, the theoretical part use position is obtained by artificial setting. Retrieving the target second node in multiple second-layer nodes means: retrieving the theoretical part use position that is the same as the auto part use position corresponding to the position part information in one or more second-layer nodes.

[0108] It should be understood that the target second node is the auto part that can be used at this location in theory. However, since the theoretical part usage location may be related to the target car, it is necessary to retrieve the auto part that meets the target second node in combination with the target car's part information set at the location. Here, the auto part name corresponding to the auto part is used as the third-level node.

[0109] Exemplarily, the supplied auto parts corresponding to a certain position part information set can be applicable to the first position of type A target car and the second position of type B target car, but this type of supplied auto parts is not applicable to the first position of type C target car, and the first position of type A target car, the second position of type B target car and the first position of type C target car are all used as second-level nodes. Therefore, using the position part information set in one or more second-level nodes, two second-level nodes can be retrieved from three second nodes. These two second-level nodes are: the first position of type A target car and the second position of type B target car, and these two second-level nodes are both target second nodes. The purpose of performing the identification operation on the target second node is to clarify the quantity and position part information of all auto parts that can be used in the target second node. For example, the target second node is an engine, and 100 supplied auto parts can be used in the engine, namely: 30 crankshafts, 30 engine casings and 40 pistons, and the 30 crankshafts are divided into the first crankshaft, the second crankshaft and the third crankshaft. Here, the crankshaft, the engine casing and the piston are all used as the third-level nodes of the engine.

[0110] Furthermore, the purpose of performing the identification operation on the third-layer node using the number of auto parts, auto parts size, auto parts implementation standard and auto parts supply address corresponding to the third-layer node is to be able to clarify the information of each auto part at the third-layer node. This identification operation is the same as the method of performing the identification operation on the input information using the auto parts use location set, and can achieve the same effect, which will not be repeated here. The identification operation of obtaining the second target node is the same as the method of performing the identification operation on the input information using the auto parts use location set, and can achieve the same effect, which will not be repeated here.

[0111] It should be understood that the first-level nodes include the first type of vehicle, the second type of vehicle and the third type of vehicle. Here, only the first type of vehicle is taken as an example: there are 50 theoretical accessory usage positions in the first type of vehicle, and each of these 50 theoretical accessory usage positions is the second-level node. Because the position part information set is not necessarily applicable to all second-level nodes in the second-level nodes, therefore, according to the position part information set, the second-level node corresponding to the position part information set can be retrieved from multiple second-level nodes, and the second-level node is the target second node. And one or more auto parts may be used in each theoretical part usage position. Here, one or more auto parts that can be used in the same theoretical part usage position and the relevant information corresponding to each auto part constitute the position part information set, and one or more auto parts may correspond to the same second target node. One or more auto parts names can be retrieved from the position part information set corresponding to the second target node, and one or more auto parts names are used as third-level nodes, and relevant information of auto parts is marked at the third-level nodes, wherein the relevant information includes: the number of auto parts, the size of auto parts, the implementation standards of auto parts and the supply address of auto parts. The marked third-level node is the third target node, and the same type of supplied auto parts may be used to mark multiple different third-level nodes.

[0112] S3. Utilize the information input unit to receive information output instructions from one or more automobile parts demand ends in real time, obtain an output information set based on the information output instructions, wherein the output information set includes one or more output information, and utilize the output information set to retrieve multiple initial automobile parts suppliers in the input information tree structure.

[0113] It is understandable that the output information set refers to a collection of required auto parts, and the required auto parts include but are not limited to: auto parts for use, replacement, sale and repair.

[0114] It should be understood that the use of the output information set to retrieve multiple initial automobile parts suppliers in the input information tree structure includes:

[0115] The output information includes: an auto parts demand address and one or more output auto parts, wherein the output auto parts include: an output auto parts name, an output auto parts quantity, an output auto parts size and an output auto parts implementation standard;

[0116] Extract output information from the output information set in sequence, and perform the following operations on the extracted output information:

[0117] Extract output automobile parts from the extracted output information;

[0118] The output automobile parts are used to retrieve a plurality of initial automobile parts suppliers in the input information tree structure.

[0119] Furthermore, the output auto parts refer to the auto parts required to be output, and the auto parts required to be output here include but are not limited to: auto parts for use, replacement, sale and repair. The output auto parts name refers to the name of the auto parts required to be output. The output auto parts quantity refers to the quantity of the output auto parts corresponding to the output auto parts name. The output auto parts size refers to the size of the auto parts corresponding to the output auto parts name. The output auto parts implementation standard refers to the implementation standard of the auto parts corresponding to the output auto parts name. The auto parts demand address refers to the address corresponding to the auto parts demand end. The initial auto parts supply end refers to the auto parts supply end that can provide output auto parts corresponding to the output information.

[0120] S4. Confirm a target automobile parts supply plan based on multiple initial automobile parts suppliers.

[0121] It is understandable that the target automobile parts supply solution is confirmed based on multiple initial automobile parts suppliers, including:

[0122] Based on the multiple initial automobile parts suppliers, the output automobile parts and the pre-built screening relationship, multiple initial automobile parts supply groups are obtained, wherein the initial automobile parts supply group includes one or more target automobile parts suppliers, and the screening relationship is as follows:

[0123]

[0124] Among them, S i represents the number of output auto parts corresponding to the i-th output auto part in the output information set, (C i ) j represents the number of the i-th output automobile parts corresponding to the j-th target automobile parts supply end in the initial automobile parts supply group, and u represents that there are u target automobile parts supply ends corresponding to the initial automobile parts supply group;

[0125] Sequentially extracting initial automobile parts supply groups from the plurality of initial automobile parts supply groups, and performing the following operations on the extracted initial automobile parts supply groups:

[0126] Acquire an initial supply path based on the automobile parts supply address corresponding to each target automobile parts supply end in the initial automobile parts supply group and the automobile parts demand address corresponding to the output information, and summarize the initial supply paths to obtain an initial supply path set;

[0127] Obtaining a vehicle energy consumption parameter set for delivering auto parts, wherein the vehicle energy consumption parameter set includes one or more vehicle energy consumption parameters, and the vehicle energy consumption parameters include: vehicle fixed energy consumption, vehicle unit energy consumption and reference loading quantity, and the vehicle energy consumption parameters correspond to the types of delivery vehicles one by one;

[0128] Acquire multiple initial automobile parts supply plans using one or more target automobile parts supply ends in the initial automobile parts supply group, wherein the initial automobile parts supply plan includes one or more initial automobile parts supply quantity groups, wherein the initial automobile parts supply quantity groups include one or more initial automobile parts supply quantities, wherein the initial automobile parts supply quantities correspond to the target automobile parts supply ends one by one, and the initial automobile parts supply quantity groups correspond to the output information one by one;

[0129] Sequentially extracting initial automobile parts supply plans from the multiple initial automobile parts supply plans, and performing the following operations on the extracted initial automobile parts supply plans:

[0130] Obtaining a comprehensive energy consumption evaluation value based on the initial supply path set, the vehicle energy consumption parameter set, the extracted initial automobile parts supply plan and the pre-constructed comprehensive energy consumption relationship, and summarizing the comprehensive energy consumption evaluation values ​​to obtain a comprehensive energy consumption evaluation set;

[0131] The target automobile parts supply plan is confirmed by using the comprehensive energy consumption evaluation set, wherein the target automobile parts supply plan is an initial automobile parts supply plan corresponding to the minimum comprehensive energy consumption evaluation value in the comprehensive energy consumption evaluation set.

[0132] It should be understood that each of the multiple initial supply groups includes one or more target auto parts supply ends, and each initial supply group can meet one or more auto parts required in the output auto parts. Using the auto parts supply address and the auto parts demand address to obtain the initial supply path means: using the auto parts supply address and the auto parts demand address as the starting point and the end point respectively, and using the path planning algorithm to obtain the initial supply path. Optionally, the ant colony algorithm is used as the path planning algorithm, and other technologies can achieve the same effect, which will not be repeated here. Because there may be multiple target auto parts supply ends in the initial auto parts supply group, there may be multiple initial supply paths corresponding to the target auto parts supply ends in the initial supply path set.

[0133] Furthermore, the fixed energy consumption of a vehicle refers to the energy consumption of a delivery vehicle that does not change with the distance traveled during the driving process. The unit energy consumption of a vehicle refers to the energy consumption required for a delivery vehicle to travel a unit distance, and the reference loading quantity refers to the quantity of auto parts loaded on a delivery vehicle.

[0134] It should be understood that the method of obtaining a plurality of initial automobile parts supply solutions by using one or more target automobile parts suppliers in the initial automobile parts supply group includes:

[0135] Based on the output automobile parts and one or more target automobile parts suppliers, one or more first automobile parts supplier groups and one or more second automobile parts supplier groups are obtained, wherein the first automobile parts supplier group includes at least two target automobile parts suppliers, and the second automobile parts supplier group includes only one target automobile parts supplier;

[0136] Sequentially extract first automobile parts supply end groups from the one or more first automobile parts supply end groups, and perform the following operations on the extracted first automobile parts supply end groups:

[0137] Using the extracted first automobile parts supply end group, at least two target automobile parts supply quantities are confirmed, wherein the target automobile parts supply quantities correspond one-to-one to the target automobile parts supply ends corresponding to the first automobile parts supply quantities;

[0138] Acquire a supply part quantity combination set based on the at least two target supply auto part quantities, wherein the supply part quantity combination set includes one or more supply part quantity combinations, and the supply part quantity combinations include at least two supply part quantities, and the supply part quantities correspond one-to-one to the target auto part supply ends in the first auto part supply end;

[0139] Summarize the supply accessory quantity combination sets to obtain one or more supply accessory quantity combination sets,

[0140] Extracting second automobile parts supply end groups from one or more second automobile parts supply end groups in sequence, and performing the following operations on the extracted second automobile parts supply end groups:

[0141] Acquire the quantity of second supplied automobile parts based on the extracted second automobile parts supplier group, summarize the second supplied automobile parts quantities, and obtain one or more second supplied automobile parts quantities;

[0142] A plurality of initial automobile parts supply solutions are obtained in a combined manner by using one or more supply parts quantity combination sets and one or more second supply automobile parts quantities.

[0143] It should be explained that the first auto parts supply end group refers to at least two target parts supply ends that can supply a certain auto part required, and the second auto parts supply end refers to only one target auto parts supply end that can supply a certain auto part.

[0144] Furthermore, the supply parts quantity combination set refers to the number of combinations corresponding to at least two target supply auto parts supply terminals. For example, when there are only two target supply auto parts supply terminals, and the required quantity of a certain auto part is 10, that is, the output auto part quantity is 10, and the supply auto part quantities of the same auto part in the two target supply auto parts supply terminals are 6 and 7 respectively, then the supply parts quantity combinations can be: 3 and 7, 4 and 6, ..., 5 and 5, and the supply parts quantity combination set corresponds to the output information in the output auto parts.

[0145] It is understandable that obtaining multiple initial auto parts supply plans in a combined manner refers to combining one or more supply parts quantity combination sets and one or more second supply auto parts quantity to obtain multiple combinations of auto parts that meet the output information set. For example: a certain initial auto parts supply plan is: 5 type A auto parts are retrieved from the first target auto parts supply end and the second target auto parts supply end, and 3 and 4 type B auto parts are retrieved from the first target auto parts supply end and the second target auto parts supply end respectively. Another initial auto parts supply plan is: 4 and 6 type A auto parts are retrieved from the first target auto parts supply end and the second target auto parts supply end respectively, and 1 and 6 type B auto parts are retrieved from the first target auto parts supply end and the second target auto parts supply end respectively.

[0146] Furthermore, since the target auto parts supply end corresponding to each initial auto parts supply plan can supply different types and quantities of auto parts, and the auto parts supply addresses corresponding to the target auto parts supply end may be different, the energy consumption required for adopting different initial auto parts supply plans is different.

[0147] It should be explained that the comprehensive energy consumption relationship is as follows:

[0148]

[0149] Wherein, Q represents the comprehensive energy consumption evaluation value, d 0k represents the fixed energy consumption of the kth delivery vehicle among one or more delivery vehicles, m k represents the number of the kth type of delivery vehicles among one or more delivery vehicles, n represents the total number of one or more delivery vehicles, u l represents the number of the first type of target delivery vehicles among one or more delivery vehicles, wherein the target delivery vehicles are loaded with the same quantity of supplied auto parts, and the quantity of auto parts loaded by the target delivery vehicles is less than or equal to the reference loading quantity, r l represents the unit energy consumption of the lth target delivery vehicle, e represents the total number of e target delivery vehicles, α lrepresents the correction factor of the lth target delivery vehicle, and the correction factor is related to the number of auto parts supplied by the delivery vehicle. R It represents the distance corresponding to the Rth initial supply path in the initial supply path set, N is only used for counting, E represents that there are E initial supply paths in the initial supply path set, and G represents that there are G energy consumption values ​​in total.

[0150] It should be explained that different quantities of the same type of auto parts may affect the resistance encountered by the delivery vehicle, and therefore, the correction coefficients corresponding to different target delivery vehicles are different. Optionally, the correction coefficients are obtained by experiment.

[0151] S5. Update the input information tree structure according to the target automobile parts supply solution to obtain an updated information tree structure, and obtain an automobile parts prediction sequence based on the one or more automobile parts suppliers.

[0152] It should be understood that updating the input information tree structure according to the target automobile parts supply plan means: updating the information in the input information tree structure using the number of automobile parts required by the target automobile parts supply plan. For example, if the number of automobile parts corresponding to a third target node in the input information tree structure is 50, and the target automobile parts supply plan dispatches 25 automobile parts from the target automobile parts supply end corresponding to the third target node, then the number of automobile parts corresponding to the third target node in the updated information tree structure is 25, and other third target nodes and second target nodes related to the automobile parts need to be updated.

[0153] It should be understood that the step of obtaining the automobile parts prediction sequence based on the one or more automobile parts suppliers includes:

[0154] Obtain a prediction model set for prediction, wherein the prediction model set includes a plurality of prediction models, sequentially extract automobile parts suppliers from the one or more automobile parts suppliers, and perform the following operations on the extracted automobile parts suppliers:

[0155] Acquire a predicted supply value set using the extracted automobile parts supplier and the extracted prediction model, wherein the predicted supply value set includes one or more predicted supply values, and the predicted supply values ​​correspond to the supplied automobile parts one by one;

[0156] The predicted supply values ​​are summarized by supplying automobile parts to obtain a supply value set, and the predicted target value is calculated based on the supply value set. The calculation formula is as follows:

[0157]

[0158] Among them, Y Frepresents the predicted target value corresponding to the Fth type of supplied auto parts among one or more supplied auto parts, B w is the preset wth coefficient, V Fw The predicted supply value of the Fth type of supplied automobile parts corresponding to the wth predicted supply value in the supply value set, g means that there are g predicted supply values ​​in the supply value set;

[0159] The predicted target values ​​are summarized to obtain a predicted target value set, and a sorting operation is performed on the predicted target values ​​in the predicted target value set in order from large to small to obtain an automobile parts prediction sequence.

[0160] It is understandable that the prediction model refers to a model used to predict the quantity of auto parts required by the auto parts supplier. Optionally, a neural network model is used as the prediction model. Other technologies can achieve the same effect, which will not be described here. For example: by obtaining the supply sequence of a specific auto part that the auto parts supplier can supply, the supply sequence refers to the supply quantity sorted in chronological order, and the supply sequence is input into the pre-trained neural network model to obtain the predicted supply value set.

[0161] Furthermore, the forecast supply value refers to the forecast of the quantity of a certain type of auto parts required.

[0162] S6. Based on the automobile parts prediction sequence, extract one or more target update nodes in the update information tree structure, and use the one or more target update nodes to obtain one or more update information, wherein the update information corresponds to the target update node one to one.

[0163] It should be understood that the obtaining one or more update information using the one or more target update nodes includes:

[0164] Extracting a target parts prediction sequence from the automobile parts prediction sequence, wherein the target parts prediction sequence includes Q target prediction values, and the target prediction values ​​are all greater than or equal to a preset target prediction threshold, wherein Q is an integer greater than or equal to 0;

[0165] One or more update information is obtained using the target component prediction sequence.

[0166] It should be explained that in the embodiment of the present invention, the target update node refers to: in the update information tree structure, the third target node with too much storage of auto parts or a large throughput rate of auto parts per unit time. Optionally, the target update node is selected by artificial selection. The prediction of a certain auto part can be achieved by using the prediction model set. Since the predicted target value may have a certain deviation from the actual value, the use of the target part prediction sequence can improve the accuracy of the prediction of the auto part. The update information refers to: the relevant information of the auto parts required by a certain node in the update information tree structure or the auto parts to be scheduled. Optionally, the update information is obtained by subtracting the preset value. For example: when the third target node of a certain update information tree structure does not exist in the target part prediction sequence corresponding to the third target node, it indicates that the required auto parts do not exist at the third target node. Therefore, the production of this type of auto parts can be appropriately reduced. When the difference between the predicted target value and the preset value is less than 0, it indicates that the production of this type of auto parts needs to be increased, and the required quantity is the absolute value of the difference.

[0167] S7. Using the information feedback unit, the update information tree structure and one or more update information are sent to the initiator of the information integration instruction to realize the dynamic integration of automobile parts information.

[0168] Exemplarily, to realize the dynamic integration of automobile parts information, Xiao Zhao sets a frequency for sequentially extracting target update nodes in the update information tree structure, and sequentially extracts target update nodes in the update information tree structure through this frequency, and realizes the prediction of the required quantity of each automobile part through the extracted target update nodes, and sends the update information tree structure and one or more update information to the initiator of the information integration instruction, thereby realizing the dynamic integration of automobile parts information.

[0169] The present invention is to solve the problem described in the background technology. The present invention uses an information input unit to receive information input instructions from one or more auto parts suppliers in real time, obtains an input information set based on the information input instructions, wherein the input information set includes multiple input information, and uses the input information set to construct an input information tree structure. It can be seen that before constructing the input information tree structure, the embodiment of the present invention considers that the input information tree structure may include one or more target cars and considers that there are differences in the auto parts supply ends corresponding to the auto parts supply, and considers the applicability of the input information identified in the input information category set. Therefore, one or more target cars are used as the first-level nodes to improve the accuracy and intelligence of the input information tree structure, and the target second node is retrieved from one or more second-level nodes to improve the accuracy of constructing the input information tree structure, and the obtained third target node can not only specifically characterize the differences between the auto parts supply ends, but also characterize the connections between the auto parts supply ends, thereby improving the intelligence of constructing the input information tree structure. The present invention uses an information input unit to receive information output instructions from one or more auto parts demand ends in real time, obtains an output information set based on the information output instruction, wherein the output information set includes one or more output information, retrieves multiple initial auto parts supply ends in the input information tree structure using the output information set, and confirms the target auto parts supply plan based on the multiple initial auto parts supply ends. It can be seen that the embodiment of the present invention does not statically implement the integration of the input information tree structure, but dynamically implements the update of the input information tree structure, and can provide a supply plan for auto parts with lower energy consumption in combination with the required energy consumption before updating. The present invention updates the input information tree structure according to the target auto parts supply plan to obtain an update information tree structure, obtains an auto parts prediction sequence based on the one or more auto parts supply ends, extracts one or more target update nodes in the update information tree structure based on the auto parts prediction sequence, and obtains one or more update information using the one or more target update nodes, wherein the update information corresponds to the target update node one by one. It can be seen that the embodiment of the present invention also considers the dynamic prediction of the auto parts that need to be managed by the update information tree structure, and improves the intelligence of the update information tree structure on the basis of being able to intuitively characterize the auto parts information. Therefore, the present invention can improve the intelligence of automobile parts information management.

[0170] like Figure 2 , which is a functional module diagram of an automobile parts information dynamic integration system based on a collaborative management platform provided by an embodiment of the present invention.

[0171] The automotive parts information dynamic integration system 100 based on the collaborative management platform of the present invention can be installed in an electronic device. According to the functions to be implemented, the automotive parts information dynamic integration system 100 based on the collaborative management platform can include an information integration environment confirmation module 101, an information integration tree structure construction module 102, an information integration tree structure update module 103 and an integration result feedback module 104. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0172] The information integration environment confirmation module 101 is used to receive an information integration instruction, and confirm an information integration environment for integrating automobile parts information based on the information integration instruction, wherein the information integration environment includes an information integration system, one or more automobile parts supply ends and one or more automobile parts demand ends, wherein the automobile parts supply ends each include one or more delivery vehicles for delivering automobile parts, and the information integration system includes: an information input unit and an information feedback unit;

[0173] The information integration tree structure building module 102 is used to use the information input unit to receive information input instructions from one or more automobile parts suppliers in real time, obtain an input information set based on the information input instructions, wherein the input information set includes multiple input information, and use the input information set to build an input information tree structure;

[0174] The information integration tree structure updating module 103 is used to use the information input unit to receive information output instructions from one or more automobile parts demand ends in real time, obtain an output information set based on the information output instructions, wherein the output information set includes one or more output information, and use the output information set to retrieve multiple initial automobile parts suppliers in the input information tree structure;

[0175] Confirming a target auto parts supply plan based on multiple initial auto parts suppliers;

[0176] Update the input information tree structure according to the target automobile parts supply solution to obtain an updated information tree structure, and obtain an automobile parts prediction sequence based on the one or more automobile parts suppliers;

[0177] The integrated result feedback module 104 is used to extract one or more target update nodes in the update information tree structure based on the automobile parts prediction sequence, and obtain one or more update information using the one or more target update nodes, wherein the update information corresponds to the target update node one by one;

[0178] The information feedback unit is used to send the update information tree structure and one or more update information to the initiator of the information integration instruction, so as to realize the dynamic integration of automobile parts information.

[0179] In detail, each module in the automotive parts information dynamic integration system 100 based on the collaborative management platform in the embodiment of the present invention is used in the same manner as described above. Figure 1 The same technical means are used as the method for dynamic integration of automobile parts information based on a collaborative management platform described in the specification and can produce the same technical effects, so they will not be repeated here.

[0180] like Figure 3 , is a schematic diagram of the structure of an electronic device for implementing a method for dynamically integrating automobile parts information based on a collaborative management platform provided by an embodiment of the present invention.

[0181] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a method program for dynamically integrating automobile parts information based on a collaborative management platform.

[0182] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 11 may be an internal storage unit of the electronic device 1 in some embodiments, such as a mobile hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the program of the method for dynamically integrating automobile parts information based on the collaborative management platform, but also can be used to temporarily store data that has been output or is to be output.

[0183] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as a method program for dynamically integrating automobile parts information based on a collaborative management platform, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0184] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0185] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0186] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0187] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0188] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0189] The program of the method for dynamically integrating automobile parts information based on the collaborative management platform stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, the following can be achieved:

[0190] receiving an information integration instruction, and confirming an information integration environment for integrating automobile parts information based on the information integration instruction, wherein the information integration environment includes an information integration system, one or more automobile parts supply ends and one or more automobile parts demand ends, wherein the automobile parts supply ends each include one or more delivery vehicles for delivering automobile parts, and the information integration system includes: an information input unit and an information feedback unit;

[0191] Using an information input unit to receive information input instructions from one or more automotive parts suppliers in real time, obtaining an input information set based on the information input instructions, wherein the input information set includes a plurality of input information, and constructing an input information tree structure using the input information set;

[0192] Using the information input unit to receive information output instructions from one or more automobile parts demanders in real time, obtaining an output information set based on the information output instructions, wherein the output information set includes one or more output information, and using the output information set to retrieve multiple initial automobile parts suppliers in the input information tree structure;

[0193] Confirming a target auto parts supply plan based on multiple initial auto parts suppliers;

[0194] Update the input information tree structure according to the target automobile parts supply solution to obtain an updated information tree structure, and obtain an automobile parts prediction sequence based on the one or more automobile parts suppliers;

[0195] Based on the automobile parts prediction sequence, extract one or more target update nodes in the update information tree structure, and use the one or more target update nodes to obtain one or more update information, wherein the update information corresponds to the target update node one by one;

[0196] The information feedback unit is used to send the update information tree structure and one or more update information to the initiator of the information integration instruction, so as to realize the dynamic integration of automobile parts information.

[0197] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0198] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0199] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0200] receiving an information integration instruction, and confirming an information integration environment for integrating automobile parts information based on the information integration instruction, wherein the information integration environment includes an information integration system, one or more automobile parts supply ends and one or more automobile parts demand ends, wherein the automobile parts supply ends each include one or more delivery vehicles for delivering automobile parts, and the information integration system includes: an information input unit and an information feedback unit;

[0201] Using an information input unit to receive information input instructions from one or more automotive parts suppliers in real time, obtaining an input information set based on the information input instructions, wherein the input information set includes a plurality of input information, and constructing an input information tree structure using the input information set;

[0202] Using the information input unit to receive information output instructions from one or more automobile parts demanders in real time, obtaining an output information set based on the information output instructions, wherein the output information set includes one or more output information, and using the output information set to retrieve multiple initial automobile parts suppliers in the input information tree structure;

[0203] Confirming a target auto parts supply plan based on multiple initial auto parts suppliers;

[0204] Update the input information tree structure according to the target automobile parts supply solution to obtain an updated information tree structure, and obtain an automobile parts prediction sequence based on the one or more automobile parts suppliers;

[0205] Based on the automobile parts prediction sequence, extract one or more target update nodes in the update information tree structure, and use the one or more target update nodes to obtain one or more update information, wherein the update information corresponds to the target update node one by one;

[0206] The information feedback unit is used to send the update information tree structure and one or more update information to the initiator of the information integration instruction, so as to realize the dynamic integration of automobile parts information.

[0207] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0208] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0209] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0210] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0211] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for dynamically integrating automobile parts information based on a collaborative management platform, characterized in that: The method comprises: receiving an information integration instruction, and confirming an information integration environment for integrating automobile parts information based on the information integration instruction, wherein the information integration environment includes an information integration system, one or more automobile parts supply ends and one or more automobile parts demand ends, wherein the automobile parts supply ends each include one or more delivery vehicles for delivering automobile parts, and the information integration system includes: an information input unit and an information feedback unit; Using an information input unit to receive information input instructions from one or more automotive parts suppliers in real time, obtaining an input information set based on the information input instructions, wherein the input information set includes a plurality of input information, and constructing an input information tree structure using the input information set; Using the information input unit to receive information output instructions from one or more automobile parts demanders in real time, obtaining an output information set based on the information output instructions, wherein the output information set includes one or more output information, and using the output information set to retrieve multiple initial automobile parts suppliers in the input information tree structure; Confirming a target auto parts supply plan based on multiple initial auto parts suppliers; Update the input information tree structure according to the target automobile parts supply solution to obtain an updated information tree structure, and obtain an automobile parts prediction sequence based on the one or more automobile parts suppliers; Based on the automobile parts prediction sequence, one or more target update nodes are extracted from the update information tree structure, and one or more update information are obtained using the one or more target update nodes, wherein the update information corresponds to the target update node one by one; The information feedback unit is used to send the update information tree structure and one or more update information to the initiator of the information integration instruction, so as to realize the dynamic integration of automobile parts information.

2. The method for dynamically integrating automobile parts information based on a collaborative management platform according to claim 1, characterized in that: The input information tree structure is constructed by using the input information set. include: The input information includes: one or more supplied auto parts and auto parts supply addresses, wherein the supplied auto parts include supplied auto parts names, supplied auto parts quantities, supplied auto parts sizes, and supplied auto parts implementation standards, and the input information is sequentially extracted from the input information set, and the following operations are performed on the extracted input information: Retrieving an automobile part use location set from a pre-built automobile part use location library using the supplied automobile part name, wherein the automobile part use location set includes one or more automobile part use locations; Using the automobile accessory usage position set, a marking operation is performed on the extracted input information to obtain marked input information; The identified input information is respectively summarized according to the supplied automobile parts names, supplied automobile parts sizes and supplied automobile parts implementation standards corresponding to the identified input information to obtain one or more input information category sets, and an input information tree structure is constructed based on the one or more input information category sets.

3. The method for dynamically integrating automobile parts information based on a collaborative management platform as claimed in claim 2, characterized in that: The step of constructing an input information tree structure based on the one or more input information category sets includes: The following operations are performed on each of the one or more input information category sets: The following operations are performed for each identified input information in the input information category set: Associating the identification input information with each of the one or more automobile accessory use positions corresponding to the identification input information to obtain a position part information set, wherein the position part information set includes a plurality of identification input information; Based on the position part information set, the position part quantity is obtained, and one or more theoretical parts use positions corresponding to the supplied automobile parts are obtained, with the automobile as the root node, each of the one or more target automobiles obtained in advance as the first-level node, and each of the one or more theoretical parts use positions as the second-level node of the input information tree structure; Retrieving a target second node from one or more second-layer nodes corresponding to the input information tree structure using the automobile accessory usage position corresponding to the position part information set, and performing an identification operation on the target second node using the position part information set and the position part quantity to obtain a second target node; One or more supplied auto parts names are retrieved from the position part information set corresponding to the second target node, each of the one or more supplied auto parts names is used as a third-level node of the input information tree structure, and the third-level node is identified by using the supplied auto parts quantity, supplied auto parts size, supplied auto parts implementation standard and auto parts supply address corresponding to the supplied auto parts name to obtain a third target node, and the input information tree structure is constructed based on the root node, the first-level node, the second target node and the third target node.

4. The method for dynamically integrating automobile parts information based on a collaborative management platform as claimed in claim 3, characterized in that: The output information set is used to retrieve a plurality of initial automobile parts suppliers in the input information tree structure, include: The output information includes: an auto parts demand address and one or more output auto parts, wherein the output auto parts include: an output auto parts name, an output auto parts quantity, an output auto parts size and an output auto parts implementation standard; Extract output information from the output information set in sequence, and perform the following operations on the extracted output information: Extract output automobile parts from the extracted output information; The output automobile parts are used to retrieve a plurality of initial automobile parts suppliers in the input information tree structure.

5. The method for dynamically integrating automobile parts information based on a collaborative management platform as claimed in claim 4, characterized in that: The step of confirming a target automobile parts supply solution based on a plurality of initial automobile parts suppliers includes: Based on the multiple initial automobile parts suppliers, the output automobile parts and the pre-built screening relationship, multiple initial automobile parts supply groups are obtained, wherein the initial automobile parts supply group includes one or more target automobile parts suppliers, and the screening relationship is as follows: Among them, S i represents the number of output auto parts corresponding to the i-th output auto part in the output information set, (C i ) j represents the number of the i-th output automobile parts corresponding to the j-th target automobile parts supply end in the initial automobile parts supply group, and u represents that there are u target automobile parts supply ends corresponding to the initial automobile parts supply group; Sequentially extracting initial automobile parts supply groups from the plurality of initial automobile parts supply groups, and performing the following operations on the extracted initial automobile parts supply groups: Acquire an initial supply path based on the automobile parts supply address corresponding to each target automobile parts supply end in the initial automobile parts supply group and the automobile parts demand address corresponding to the output information, and summarize the initial supply paths to obtain an initial supply path set; Obtaining a vehicle energy consumption parameter set for delivering auto parts, wherein the vehicle energy consumption parameter set includes one or more vehicle energy consumption parameters, and the vehicle energy consumption parameters include: vehicle fixed energy consumption, vehicle unit energy consumption and reference loading quantity, and the vehicle energy consumption parameters correspond to the types of delivery vehicles one by one; Acquire multiple initial automobile parts supply plans using one or more target automobile parts supply ends in the initial automobile parts supply group, wherein the initial automobile parts supply plan includes one or more initial automobile parts supply quantity groups, wherein the initial automobile parts supply quantity groups include one or more initial automobile parts supply quantities, wherein the initial automobile parts supply quantities correspond to the target automobile parts supply ends one by one, and the initial automobile parts supply quantity groups correspond to the output information one by one; Sequentially extracting initial automobile parts supply plans from the multiple initial automobile parts supply plans, and performing the following operations on the extracted initial automobile parts supply plans: Obtaining a comprehensive energy consumption evaluation value based on the initial supply path set, the vehicle energy consumption parameter set, the extracted initial automobile parts supply plan and the pre-constructed comprehensive energy consumption relationship, and summarizing the comprehensive energy consumption evaluation values ​​to obtain a comprehensive energy consumption evaluation set; The target automobile parts supply plan is confirmed by using the comprehensive energy consumption evaluation set, wherein the target automobile parts supply plan is an initial automobile parts supply plan corresponding to the minimum comprehensive energy consumption evaluation value in the comprehensive energy consumption evaluation set.

6. The method for dynamically integrating automobile parts information based on a collaborative management platform as claimed in claim 5, characterized in that: The comprehensive energy consumption relationship is as follows: Wherein, Q represents the comprehensive energy consumption evaluation value, d 0k represents the fixed energy consumption of the kth delivery vehicle among one or more delivery vehicles, m k represents the number of the kth type of delivery vehicles among one or more delivery vehicles, n represents the total number of one or more delivery vehicles, u l represents the number of the first type of target delivery vehicles among one or more delivery vehicles, wherein the target delivery vehicles are loaded with the same quantity of supplied auto parts, and the quantity of auto parts loaded by the target delivery vehicles is less than or equal to the reference loading quantity, r l represents the unit energy consumption of the lth target delivery vehicle, e represents the total number of e target delivery vehicles, α l represents the correction factor of the lth target delivery vehicle, and the correction factor is related to the number of auto parts supplied by the delivery vehicle. R It represents the distance corresponding to the Rth initial supply path in the initial supply path set, N is only used for counting, E represents that there are E initial supply paths in the initial supply path set, and G represents that there are G energy consumption values ​​in total.

7. The method for dynamically integrating automobile parts information based on a collaborative management platform as claimed in claim 6, characterized in that: The method of obtaining a plurality of initial automobile parts supply solutions by using one or more target automobile parts suppliers in the initial automobile parts supply group includes: Based on the output automobile parts and one or more target automobile parts suppliers, one or more first automobile parts supplier groups and one or more second automobile parts supplier groups are obtained, wherein the first automobile parts supplier group includes at least two target automobile parts suppliers, and the second automobile parts supplier group includes only one target automobile parts supplier; Sequentially extract first automobile parts supply end groups from the one or more first automobile parts supply end groups, and perform the following operations on the extracted first automobile parts supply end groups: Using the extracted first automobile parts supply end group, at least two target automobile parts supply quantities are confirmed, wherein the target automobile parts supply quantities correspond one-to-one to the target automobile parts supply ends corresponding to the first automobile parts supply quantities; Acquire a supply part quantity combination set based on the at least two target supply auto part quantities, wherein the supply part quantity combination set includes one or more supply part quantity combinations, and the supply part quantity combinations include at least two supply part quantities, and the supply part quantities correspond one-to-one to the target auto part supply ends in the first auto part supply end; Summarize the supply accessory quantity combination sets to obtain one or more supply accessory quantity combination sets, Extracting second automobile parts supply end groups from one or more second automobile parts supply end groups in sequence, and performing the following operations on the extracted second automobile parts supply end groups: Acquire the quantity of second supplied automobile parts based on the extracted second automobile parts supplier group, summarize the second supplied automobile parts quantities, and obtain one or more second supplied automobile parts quantities; A plurality of initial automobile parts supply solutions are obtained in a combined manner by using one or more supply parts quantity combination sets and one or more second supply automobile parts quantities.

8. The method for dynamically integrating automobile parts information based on a collaborative management platform as claimed in claim 7, characterized in that: The step of obtaining the automobile parts prediction sequence based on the one or more automobile parts suppliers includes: Obtain a prediction model set for prediction, wherein the prediction model set includes a plurality of prediction models, sequentially extract automobile parts suppliers from the one or more automobile parts suppliers, and perform the following operations on the extracted automobile parts suppliers: Acquire a predicted supply value set using the extracted automobile parts supplier and the extracted prediction model, wherein the predicted supply value set includes one or more predicted supply values, and the predicted supply values ​​correspond to the supplied automobile parts one by one; The predicted supply values ​​are summarized by supplying automobile parts to obtain a supply value set, and the predicted target value is calculated based on the supply value set. The calculation formula is as follows: Among them, Y F represents the predicted target value corresponding to the Fth type of supplied auto parts among one or more supplied auto parts, B w is the preset wth coefficient, V Fw The predicted supply value of the Fth type of supplied automobile parts corresponding to the wth predicted supply value in the supply value set, g means that there are g predicted supply values ​​in the supply value set; The predicted target values ​​are summarized to obtain a predicted target value set, and a sorting operation is performed on the predicted target values ​​in the predicted target value set in order from large to small to obtain an automobile parts prediction sequence.

9. The method for dynamically integrating automobile parts information based on a collaborative management platform as claimed in claim 8, characterized in that: The obtaining one or more update information by using the one or more target update nodes includes: Extracting a target parts prediction sequence from the automobile parts prediction sequence, wherein the target parts prediction sequence includes Q target prediction values, and the target prediction values ​​are all greater than or equal to a preset target prediction threshold, wherein Q is an integer greater than or equal to 0; One or more update information is obtained using the target component prediction sequence.

10. A dynamic integration system for automobile parts information based on a collaborative management platform, characterized in that: The system comprises: An information integration environment confirmation module is used to receive an information integration instruction, and confirm an information integration environment for integrating automobile parts information based on the information integration instruction, wherein the information integration environment includes an information integration system, one or more automobile parts supply ends and one or more automobile parts demand ends, wherein the automobile parts supply ends each include one or more delivery vehicles for delivering automobile parts, and the information integration system includes: an information input unit and an information feedback unit; An information integration tree structure construction module is used to use the information input unit to receive information input instructions from one or more automobile parts suppliers in real time, obtain an input information set based on the information input instructions, wherein the input information set includes multiple input information, and use the input information set to construct an input information tree structure; An information integration tree structure updating module is used to use the information input unit to receive information output instructions from one or more automobile parts demand ends in real time, obtain an output information set based on the information output instructions, wherein the output information set includes one or more output information, and use the output information set to retrieve multiple initial automobile parts supply ends in the input information tree structure; Confirming a target auto parts supply plan based on multiple initial auto parts suppliers; Update the input information tree structure according to the target automobile parts supply solution to obtain an updated information tree structure, and obtain an automobile parts prediction sequence based on the one or more automobile parts suppliers; An integrated result feedback module is used to extract one or more target update nodes in the update information tree structure based on the automobile parts prediction sequence, and obtain one or more update information using the one or more target update nodes, wherein the update information corresponds to the target update node one by one; The information feedback unit is used to send the update information tree structure and one or more update information to the initiator of the information integration instruction, so as to realize the dynamic integration of automobile parts information.

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