CN116415789A

CN116415789A - Method, device, equipment and storage medium for monitoring automobile production progress

Info

Publication number: CN116415789A
Application number: CN202310391796.7A
Authority: CN
Inventors: 周龙钢; 吕聪; 甘韬
Original assignee: Avatr Technology Chongqing Co Ltd
Current assignee: Avatr Technology Chongqing Co Ltd
Priority date: 2023-04-12
Filing date: 2023-04-12
Publication date: 2023-07-11

Abstract

The application belongs to the field of automobile production, and provides an automobile production progress monitoring method, device, equipment and storage medium. The method comprises the following steps: acquiring automobile order information; according to the automobile order information, an automobile information inquiry request is sent to a sales server, and automobile information and automobile order ranking information returned by the sales server according to the automobile information inquiry request are received; sending a progress query request to a production server according to the automobile order ranking information, and acquiring a production node corresponding to the automobile order ranking information according to the progress query request; and determining the delivery time of the automobile order information according to the production node corresponding to the automobile order information and combining the automobile information. Therefore, a user can accurately and effectively determine the production progress corresponding to the automobile order information and the delivery time of the automobile order information.

Description

Method, device, equipment and storage medium for monitoring automobile production progress

Technical Field

The application belongs to the field of automobile production, and particularly relates to an automobile production progress monitoring method, an automobile production progress monitoring device, automobile production equipment and an automobile production storage medium.

Background

In the automobile production process, a production plan is usually formulated according to an automobile order, and materials are prepared and assembled according to the production plan. After completion of the production of the ordered car, the car is delivered to the customer placing the order.

In general, a long time is required from the generation of an automobile order to the delivery of the order. Moreover, the manufacturing time for different orders may also be different due to differences in the specific production conditions. When a customer submits an order, the time required for accurate order production is not easily determined, and accurate production progress information is not easily provided for the customer.

Disclosure of Invention

In view of this, the embodiments of the present application provide a method, an apparatus, a device, and a storage medium for monitoring an automobile production progress, so as to solve the problem in the prior art that when a customer submits an order, it is not easy to determine an accurate production time, and it is not beneficial to provide accurate production progress information to the customer.

A first aspect of an embodiment of the present application provides a method for monitoring an automobile production progress, where the method includes:

acquiring automobile order information;

sending an automobile information inquiry request to a sales server according to the automobile order information, and receiving the automobile information and the automobile order ranking information returned by the sales server, wherein the automobile information and the automobile order ranking information are determined by the sales server according to the automobile information inquiry request;

Sending a progress query request to a production server according to the automobile order ranking information, and receiving a production node corresponding to the automobile order ranking information returned by the server, wherein the production node is determined by the production server according to the progress query request;

and determining the delivery time of the automobile order information according to the production node corresponding to the automobile order information and combining the automobile information.

With reference to the first aspect, in a first possible implementation manner of the first aspect, determining, according to a production node corresponding to the vehicle order information, a delivery time of the vehicle order information in combination with the vehicle information includes:

determining nodes to be completed included after the production node according to the automobile information;

determining the operation duration of the node to be completed;

estimating the duration of the node to be completed according to the material supply information of the node to be completed and the operation duration of the node to be completed;

and determining the delivery time of the automobile order information according to the duration of the node to be completed after the production node.

With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, determining, according to the vehicle information, a node to be completed included after the production node includes:

Determining one or more of a model, an exterior trim and a fitting of the automobile according to the automobile information;

and determining nodes to be completed included after the production nodes according to the corresponding relation between the preset vehicle model and the first production node sequence, the corresponding relation between the exterior trim and the second production node sequence and/or the corresponding relation between the selected part and the third production node sequence.

With reference to the first possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, determining a job duration of the node to be completed includes:

determining the production conditions and the production objects of the nodes to be completed;

in preset historical production data, determining historical statistical time length for completing the production of the production object according to the production conditions;

and determining the operation duration of the node to be completed according to the historical statistical duration.

With reference to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, when the automobile is of a new automobile type, in preset historical production data, determining, according to the production condition, a historical statistical duration of production of the production object includes:

searching historical statistical time length for completing operation on the same or similar production objects under the same or similar production conditions of the new vehicle type in preset historical production data;

Determining the operation duration of the node to be completed according to the historical statistical duration, including:

according to the similarity of the production conditions and the similarity of the production objects, determining the weight corresponding to the historical statistical time length;

and determining the operation duration of the node to be completed according to the historical statistical duration and the weight.

With reference to any one of the first aspect to the fourth possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, determining a production node corresponding to the vehicle order ranking information includes:

acquiring the number of automobiles produced by each production node at the current time;

and determining the production node corresponding to the automobile order ranking information according to the query direction of the production node from back to front.

With reference to any one of the first aspect to the fourth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, the method further includes:

monitoring the duration of each production node;

generating an abnormal prompt of a corresponding warning level according to the difference value when the difference value between the duration time and the pre-counted standard time is larger than a preset threshold value;

And/or determining the overtime times that the difference value between the duration time and the pre-counted standard time is larger than a preset threshold value, and generating abnormal reminding of the corresponding warning level according to the times.

A second aspect of embodiments of the present application provides an apparatus for monitoring a production schedule of an automobile, the apparatus comprising:

the automobile order information receiving unit is used for acquiring automobile order information;

the system comprises an automobile order ranking information receiving unit, an automobile information query unit and an automobile information processing unit, wherein the automobile order ranking information receiving unit is used for sending an automobile information query request to a sales server according to the automobile order information and receiving the automobile information and the automobile order ranking information returned by the sales server, and the automobile information and the automobile order ranking information are determined by the sales server according to the automobile information query request;

the production node determining unit is used for sending a progress query request to a production server according to the automobile order ranking information, receiving a production node corresponding to the automobile order ranking information returned by the server, and determining the production node by the production server according to the progress query request;

and the delivery time determining unit is used for determining the delivery time of the automobile order information according to the production node corresponding to the automobile order information and combining the automobile information.

A third aspect of the embodiments of the present application provides an automotive production progress monitoring device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any one of the first aspects when the computer program is executed.

A fourth aspect of the embodiments of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method according to any one of the first aspects.

Compared with the prior art, the embodiment of the application has the beneficial effects that: according to the method and the device for inquiring the vehicle order information, the vehicle information and the vehicle order ranking information corresponding to the vehicle order information are inquired to the sales server according to the vehicle order information input by the user, a progress inquiry request is sent to the production server based on the vehicle ranking information, and the production node corresponding to the vehicle order information is determined, so that the user can accurately and effectively determine the production progress corresponding to the vehicle order information. And further based on the production node and the automobile information, the delivery time of the automobile is determined, so that a user can accurately and effectively obtain the delivery time of the automobile order information.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required for the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic diagram of an implementation scenario of an automobile production progress monitoring method according to an embodiment of the present application;

fig. 2 is a schematic implementation flow chart of an automobile production progress monitoring method according to an embodiment of the present application;

FIG. 3 is a schematic diagram of an automotive production node according to an embodiment of the present application;

fig. 4 is a schematic flow chart of determining a production node corresponding to vehicle order ranking information according to an embodiment of the present application;

FIG. 5 is a schematic flow chart of a delivery time of an automobile order information according to an embodiment of the present application;

FIG. 6 is a flowchart illustrating a method for determining a job duration of a node to be completed according to an embodiment of the present disclosure;

fig. 7 is a schematic diagram of a production node monitoring flow of an automobile according to an embodiment of the present application;

Fig. 8 is a schematic diagram of an apparatus for monitoring the production progress of an automobile according to an embodiment of the present application;

fig. 9 is a schematic diagram of an automobile production progress monitoring device according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

In order to illustrate the technical solutions described in the present application, the following description is made by specific examples.

After ordering the car, the customer typically waits a longer time if the vehicle is still in the process of production. In the period of waiting for a vehicle to be delivered, the client is usually in an unknowing state, and cannot acquire the specific production progress and delivery time of the vehicle, so that poor vehicle purchasing experience is caused for the client.

Based on the above, the embodiment of the application provides an automobile production progress monitoring method. According to the method, the automobile order information and the automobile order ranking information corresponding to the automobile order information can be inquired from the sales server according to the automobile order information input by the user. The vehicle information may include one or more of a model, a selection, and an exterior trim of the vehicle, and the order ranking information may include a ranking of the ordered vehicle in the undelivered vehicle, such as a number of undelivered vehicles ordered prior to the user. Based on the automobile ranking information, a progress query request is sent to the production server, and production nodes corresponding to the automobile order information can be determined according to the automobile ranking information and the production information of the automobiles, so that a user can accurately and effectively determine the production nodes where the production progress corresponding to the automobile order information is located. And further based on the production node and the automobile information, the delivery time of the automobile is determined, so that a user can accurately and effectively obtain the delivery time of the automobile order information.

Fig. 1 is a schematic diagram of an implementation scenario of an automobile production progress monitoring method according to an embodiment of the present application. As shown in fig. 1, the implementation scenario includes an automobile production progress monitoring device 1, a sales server 2, and a production server 3. The production progress monitoring device 1 may be configured to receive a query request of the user for vehicle information, and obtain a production progress of a vehicle ordered by the user and a delivery time of the vehicle. The user who inputs the car order information may include a car ordering customer, sales person or other related person who needs to know the car production progress. The car production progress monitoring device may acquire car order information and transmit the production order information to the sales server 2.

The sales server 2 may search for the car information corresponding to the car order information according to the received car order information, and the ranking of the car order in the same type of car, i.e. the car order ranking. The automobile information comprises one or more of automobile type, exterior trim, optional matching and the like, and an automobile order ranking is used for indicating undelivered automobiles included before the order or undelivered automobiles which are the same as those in the user order information.

After receiving the car information and the car order number, the production progress monitoring device 1 may send a progress query request to the production server 3 according to the car order number, and determine a production node corresponding to the car order information based on the production information of each production node in the production server 3. And determining the production progress corresponding to the automobile order information according to the position of the production node in the whole automobile production process. The production progress can be output in the form of percentages or in the form of a production node indication map.

For example, the production nodes that a complete production process (or sequence of production nodes) includes may be determined. The number of finished production nodes can be determined according to the production nodes searched by the automobile order information, the output production progress can be taken as the percentage of the number of finished production nodes and the total number of production nodes, or the output production progress can be taken as the percentage of the time spent by the finished production nodes and the time required by the total production procedure.

Or, the production nodes included in the whole production process of the automobile can be displayed through images, after the corresponding production nodes are determined according to the automobile order information, the completed production nodes are displayed through a first state, and the incomplete production nodes, namely the nodes to be completed, are displayed through a second state. The first state and the second state may include one or more of different colors, different brightness, or whether to blink.

Based on the determined production nodes, the nodes to be completed corresponding to the automobile order information can be determined by combining the production nodes in the production process corresponding to the automobile information. And obtaining the delivery time of the automobile order information according to the time required by the node to be completed.

The time length required by the node to be completed can be determined according to historical statistical data. For example, the time length required by the production node can be found according to the same or similar historical statistical data of the production condition and the production object, and the time length required by the node to be completed can be determined by taking an average value, weighting and summing or taking the median based on the found time length. Based on the time length required by the nodes to be completed, the delivery time corresponding to the automobile order information can be accurately and effectively determined.

Fig. 2 is a schematic implementation flow chart of an embodiment of an automobile production progress monitoring method, where an execution subject of the method may be an automobile production progress monitoring device. As shown in fig. 1, the implementation flow of the method includes:

in S201, car order information is acquired.

In this embodiment of the present application, the vehicle order information may be vehicle order information input by a user, or may be vehicle order information associated with a user account. For example, the vehicle order information input by the user can be received through a progress query interface, so that the user can conveniently query the production progress of the vehicle. Alternatively, the vehicle order information associated with the user account may be obtained according to a query instruction of the user when the user account logs in.

The user who inputs the car order information can be a client who orders the car, or can be sales personnel or other related personnel. Through inputting the automobile order information by the client, the production progress and the delivery time corresponding to the automobile order information can be conveniently inquired according to the automobile order information, and the automobile ordering experience of the client is improved. When the user is sales personnel, the production progress and delivery time of the automobile can be obtained by inputting the automobile order information, so that accurate and effective production progress information can be conveniently provided for the customers ordering the automobile.

The automobile order information in the embodiment of the application may include an automobile order number or other identification for identifying or associating the order, including one or more of information such as a user account number, a user identification card number, and the like.

Wherein the car order number is typically generated at the time of the customer order. The vehicle order number may be confirmed at the time of signing the vehicle order contract. For example, a customer may order via an online purchase platform, and after receiving confirmation information submitted by the customer, generate an automobile order number based on the order. Alternatively, the customer may sign the car order off-line, generate a car order number from the signed car order, or automatically generate the car order number when the off-line car order is entered into the sales system.

In S202, an automobile information query request is sent to a sales server according to the automobile order information, and automobile information and automobile order ranking information returned by the sales server are received.

The vehicle information and the vehicle order ranking information can be determined by the sales server according to the vehicle information inquiry request. Namely: after receiving the automobile information inquiry request, the sales server can obtain the automobile information and the automobile order ranking information corresponding to the automobile information inquiry request in a preset database according to the automobile order information contained in the automobile information inquiry request.

According to the implementation scenario shown in fig. 1, after receiving the car order information input by the user, the car production progress monitoring device generates a car information inquiry request according to the car order information. The automobile production progress monitoring device sends the automobile information inquiry request to the sales server. The sales server records specific content corresponding to the automobile order information, including one or more items of information such as automobile types, options, exterior trim, order time, automobile order ranking information and the like.

The vehicle order ranking information may include ranking information of the same vehicle type, or may also include ranking information of all vehicle types. For example, when generating the car order information of the customer, x1 orders (each order is a car by default) exist before the car model a corresponding to the car order information, and the car order ranking information is x1+1.

When determining the automobile information and the automobile order ranking information according to the automobile order information, a user can input the automobile order ranking number, the automobile production progress monitoring equipment sends the automobile order ranking number to the sales server, and the automobile information and the automobile order ranking information corresponding to the automobile order ranking number are obtained according to the related information of the automobile order ranking number recorded in the sales server.

In a possible implementation manner, the user may input identification information such as an identification card number of a customer ordering the car, and search corresponding car information and order ranking information in the sales server according to the identification card number.

In a possible implementation, a user may purchase a car by registering as an account with the car production progress monitoring system, and ordering the car based on the registered account. The car order information may include an account. When a user logs in an account and sends an automobile information inquiry request, corresponding automobile information and order ranking information are searched in a sales server according to an order placed by the account. When the account comprises one or more orders, corresponding automobile information, order ranking information and the like can be searched for from the sales server according to the orders which are selected by the user and need to be searched.

In a possible implementation manner, the vehicle production progress monitoring device may also import vehicle sales data from the sales server, and determine vehicle information and vehicle order ranking information corresponding to the vehicle order information according to the imported vehicle sales data.

In S203, a progress query request is sent to a production server according to the car order ranking information, and a production node corresponding to the car order ranking information returned by the server is received.

The production node corresponding to the automobile order ranking information can be determined by the production server according to the automobile order ranking information included in the progress query request. The production node corresponding to the automobile order ranking information can be understood as the production node corresponding to the automobile order information at the current time.

The production node of the car includes the various processes that the car undergoes throughout the process from the start of production to delivery. Different vehicle models, options or exterior trim may have different production nodes. From historical production data of the automobile, nodes included from the start of production to delivery of the automobile may be predetermined. After the production nodes corresponding to the automobile order information are determined, the production progress corresponding to the automobile order information can be determined according to the determined positions of the production nodes in the whole production process.

In a possible implementation, as shown in fig. 3, the production nodes of the car may include a resource matching node, a production preparation node, an in-production node, a dispatch arrangement node, an in-transit action node, and a vehicle delivery node. The resource matching node is used for indicating the related flow of the order. The production preparation node is used for indicating the planning and release information of the related plan of the automobile order production. The in-production node is used for indicating the production process of the automobile part, such as welding, coating, bus flow and the like. The dispatch arrangement node is used for indicating accurate information of the automobile sent to the target position and determining relevant flow information of good automobile transportation. The on-road transportation is used for indicating relevant flow information of the automobile in the transportation process.

Wherein each node may comprise several child nodes. Such as shown in fig. 3, the resource matching nodes include a customer sub-node, a contract signing sub-node and a payment large sub-node. The production preparation node comprises a month and day plan sub-node and a week plan issuing sub-node. The production node comprises a welding upper line sub-node, a welding lower line sub-node, a coating upper line sub-node, a coating lower line sub-node, a bus upper line sub-node and a bus lower line sub-node. The shipping schedule node may include a vehicle warehousing sub-node, a shipping application sub-node, a determine shipping mode sub-node, and an allocation carrier Shang Zi node. The in-transit nodes may include a vehicle out-of-store sub-node, a hand-over single-effect sub-node, and a vehicle arrival sub-node. The vehicle delivery nodes may include a store received child node, a store pre-sale check (PDI for short, all English Pre Delivery Inspection) child node, a pre-sale check-through child node, a complete vehicle billing child node, and a vehicle delivered child node.

In a possible implementation manner, the implementation process of determining the production node corresponding to the vehicle order ranking information may be as shown in fig. 4, and includes:

in S401, the number of cars produced at each production node at the current time is acquired.

In the whole production process of the automobile, a plurality of production nodes are included, and the production nodes are sequentially ordered according to a preset sequence. And (3) at different production nodes, finishing the processing and production of different parts or parts of the automobile, or finishing the production preparation of the automobile, or finishing the delivery procedure of the automobile. The cars handled in each production node include the same number or a different number of cars. For example, in the welding line sub-node, the welding line processing is performed on 50 cars at the same time, and the number of cars corresponding to the sub-node is 50.

In a possible implementation, the number of cars handled by different production nodes may be matched to the duration of the production node. The longer the duration of the production node is, the more automobiles the production node needs to process are, so that the waiting duration of the subsequent production node is reduced during production processing, and the production efficiency of the whole automobile production process is improved.

For example, the production procedure sequentially includes A, B two production nodes, the duration of the production node a (i.e. the duration that one automobile needs to spend at the production node a) is t1, the duration of the production node B is t2, and if t1 is greater than t2, the number of automobiles processed at the production node a or the number of automobile parts should be greater than the number of automobiles processed at the production node B or the number of automobile parts.

In S402, according to the query direction of the production node from back to front, the production node corresponding to the vehicle order ranking information is determined.

Since the production nodes in the production process are usually executed in a fixed order, the later the production nodes in the production process are, the earlier the produced car can be delivered. According to the sequence of the production nodes, the production nodes to which the automobile order ranking information belongs can be sequentially searched from back to front, and the production nodes corresponding to the automobile order ranking information are determined. Namely, the number of automobiles corresponding to the production nodes (the number of automobiles produced simultaneously) is determined, and the automobile sequencing range corresponding to each production node is determined. And determining the production node corresponding to the automobile order ranking information according to the ranking range to which the automobile order ranking information belongs.

For example, in the production procedure, according to the sequence, A, B, C, D, E production nodes are included, and the corresponding number of automobiles is x1, x2, x3, x4 and x5, if the number of the automobile orders is y, the ordering range is determined according to the number of automobiles corresponding to the production nodes, and the ordering range comprises [0, x5], [ x5, x4+x5], [ x4+x5, x3+x4+x5], [ x3+x4+x5], x2+x3+x4+x5], [ x2+x4+x5, x1+x2+x3+x4+x5], and corresponding E, D, C, B, A five production nodes respectively. For example, when the vehicle order ranking information y belongs to the ranking range of [ x3+x4+x5, x2+x3+x4+x5], the production node corresponding to the vehicle order ranking information is the B production node. When the automobile order ranking information y belongs to the ranking range of [0, x5], the first node corresponding to the automobile order ranking information is the E production node.

In S204, according to the production node corresponding to the car order information, the delivery time of the car order information is determined in combination with the car information.

The automobile information can comprise information such as automobile types, options, exterior decorations and the like of the automobile. Different vehicle types, different options, different production nodes corresponding to different exterior decorations in the vehicle information may exist, or the duration of the production nodes may be different.

For example, the car order information 1 and the car order information 2 correspond to the car model 1 and the car model 2, respectively. In the production processes corresponding to the model 1 and the model 2, the production nodes of the model 1 and the model 2 are different, for example, the production nodes are increased for the model 1 relative to the model 2, or the production nodes are reduced for the model 1 relative to the model 2, or the different production nodes exist for the model 1 relative to the model 2, and the like. Alternatively, the vehicle 1 and the vehicle model 2 may have production nodes of the same name, and the duration required may be different when the vehicle model 1 and the vehicle model 2 are handled by the same production node.

Thus, the production node included in the production process of the automobile can be determined based on the automobile information. The current production node is determined based on the vehicle order information, and the nodes to be completed (that is, the production nodes after the current production node) can be determined, so that the delivery time of the vehicle order information can be obtained according to the nodes to be completed, as shown in fig. 5, which specifically includes:

in S501, a node to be completed included after the production node is determined according to the car information.

According to the determined automobile information corresponding to the automobile order information, one or more items of information such as automobile types, exterior trim, optional matching and the like of the automobiles in the order can be determined. According to the corresponding relation between the preset vehicle model and the first production node sequence, the corresponding relation between the exterior trim and the second production node sequence or the corresponding relation between the selected trim and the third production node sequence, the production nodes in the production node sequences (the first production node procedure, the second production node procedure and the third production node procedure) corresponding to the production order information can be obtained.

After determining the current production node of the car order information, the production nodes included in each production node sequence determined by combining the car information can be found out to-be-completed nodes. The node to be completed is the production node located after the determined current production node.

For example, the first production node sequence sequentially includes A, B, C, D, E production nodes, and when it is determined that the current production node corresponding to the vehicle order information is the C production node, the nodes to be completed include the D production node and the E production node. Alternatively, in a possible implementation, the nodes to be completed may also include C production nodes. And determining the proportion of the C production node to be completed according to the production time of the C production node at the current time. In the same way, a second sequence of production nodes can be obtained

In S502, a job duration of the node to be completed is determined.

The operation duration of the node to be completed can be obtained according to historical statistical data. For example, the time required for producing the same production object may be counted according to the same production condition to obtain the operation duration of each node to be completed, which may specifically be as shown in fig. 6, including:

In S601, a production condition and a production object of the node to be completed are determined.

The production conditions may include information such as the number of devices, the performance of the devices, the number of production workers, etc. of the production nodes. The production object, that is, the object of production processing, may include various parts of an automobile. For different car order information, production objects of different car types, different options or different exterior trim can be corresponding.

In S602, in preset historical production data, according to the production condition, a historical statistical duration for completing the production of the production object is determined.

The time required for producing different production objects in different production nodes under different production conditions can be counted in advance to obtain a history database. According to the current production conditions and production objects, when the same production conditions and production objects are searched in the historical database, the time length required by a single automobile at a node can be obtained, and the historical statistical time length can be obtained according to the searched time lengths.

When the automobile in the automobile order information is a new automobile, that is, the same statistical data is not found in the historical statistical data, similar historical statistical data can be found according to the similarity of the production conditions and the similarity of the production objects. The overall similarity of the historical data and the automobile order information can be determined according to the similarity of the production objects and the similarity of the production conditions, and the weight of the historical data is determined according to the overall similarity.

In S603, determining a job duration of the node to be completed according to the historical statistical duration.

After the historical statistical time length corresponding to the production node is determined, the operation time length of the node to be completed can be calculated by taking an average value or an intermediate value.

Or for the new automobile, the operation duration of the node to be completed can be obtained through weighted calculation according to the historical statistical duration and the weight corresponding to each statistical data.

For example, for a new automobile, at the process node a, according to the production condition and the production object, searching the historical data related to the production node, finding that the similarity between the production condition in the certain historical data and the production condition of the new automobile is s1, and the similarity between the production object and the production condition is s2, and determining the overall similarity between the historical data and the new automobile at the production node through a summation mode or an average value. After a plurality of similar historical data are found, the weight of each historical data can be determined according to the overall similarity, and the higher the similarity is, the larger the weight is, and the lower the similarity is, the smaller the weight is. For example, if N similar historical data are found, the similarity is S1 and S2 … … SN, and the weights of the historical data can be determined as follows: s1/(s1+s2+ … … SN), s2/(s1+s2+ … … SN) … … S1/(s1+s2+ … … SN). And multiplying and summing each historical data in the production node with the corresponding weight to obtain the operation duration of the production node, namely the duration required by one or the same batch of automobiles when being processed in the production node.

It is noted that the obtained operation duration may be a duration required by the production node to complete one car or the same batch of cars in a timely condition of material supply.

In S503, the duration of the node to be completed is estimated according to the material supply information of the node to be completed and the operation duration of the node to be completed.

Because the automobile is in the production and processing process, the automobile can be influenced by material supply information. In order to improve accuracy of delivery time estimation, influence of material supply information on production nodes can be further combined, and duration of the nodes to be completed can be determined. The total time length required by the node to be completed, namely the duration of the node to be completed, can be obtained by combining the operation time length of the node to be completed according to the influence of the supply information on the production time of the node to be completed.

For example, in the case that the material supply required in the production node a is in time, a single car or the same batch of cars completes the duration required by the production node a, that is, the operation duration of the production node a. However, the production node may need to wait for the effect of the material supply information, and the production process of the production node a may be further performed only after the material is put into the warehouse. Therefore, in the automobile production process, the duration of the production node A includes the duration of waiting for the material to be put in storage in addition to the operation duration of the production node. Summing the time length for waiting for the material to be put in storage and the operation time length, so that the production node can be obtained, or the time length required by the node to be completed for completing the production of one automobile or one batch of automobiles in the production node can be obtained.

In S504, a delivery time of the vehicle order information is determined according to a duration of the node to be completed after the production node.

After the duration of each to-be-completed node is determined, the duration of each to-be-completed node can be summed to obtain the total duration required by each to-be-completed node, and the delivery time corresponding to the automobile order information can be obtained according to the current time and the total duration.

For example, the current time is t1, and the total duration required by the nodes to be completed is t2, where t2 includes the duration required by each node to be completed. The delivery time is t1+t2.

In a possible implementation manner, the embodiment of the application can monitor the duration of each production node in the automobile order information so as to discover the abnormal state in the production process in time, intervene in the processing of the production nodes in time, reduce the production problem and improve the production efficiency. The specific implementation process may be as shown in fig. 7, including:

in S701, the duration of each production node is monitored.

The duration of each production node may be obtained in real time by the production server.

In a possible implementation, the alarm reminding can be performed according to the duration. For example, in S702, when the difference between the duration and the pre-counted standard duration is greater than a predetermined threshold, alarm information of a corresponding alarm level is generated according to the magnitude of the difference.

In the embodiment of the application, according to the automobile information produced in the production node, the relevant historical data can be found in the historical order data, and the standard data corresponding to the production node is determined based on the found relevant historical data.

In a possible implementation, the conditions of the searched standard data may include production conditions and production objects. And searching historical data with the same or similar production conditions and production objects based on the production conditions and the production objects, and determining standard duration in standard data corresponding to the production nodes based on the searched historical data with the same or similar production conditions and the production objects.

Comparing the current production data of the automobile order number with the standard data, including comparing the duration of each production node with the duration in the standard data, and if the duration of the production node corresponding to the automobile order number is longer than the duration in the standard data and the difference value of the two is greater than a preset difference threshold value, generating corresponding prompt information according to the amplitude that the duration of the production node is longer than the duration in the standard data.

For example, the prompt message may include prompt messages of indicator lights of different colors, and the different colors represent different alert levels. When the deviation of the duration of the production node in the automobile production process and the duration of the standard data belongs to a first preset range, for example, the duration of the standard data is smaller than or equal to the duration of the standard data, the production node can be indicated to be in a normal state at the current moment by a green indicator lamp. If the deviation is in a second preset range, such as the duration of the standard data is longer than the first threshold value and is smaller than the first threshold value, the deviation can be indicated by a yellow indicator lamp, the production node is possibly abnormal, and the production node can be properly concerned by related personnel. If the deviation belongs to a third prediction range, namely the duration of the standard data is larger than the first threshold value, the deviation can be indicated by a red indicator lamp, and the production node is in an emergency state. The deviation refers to a difference between the duration of the production action corresponding to the automobile order number and the duration of the production action of the standard data. Any value in the first preset range is smaller than any value in the second preset range, and any value in the second preset range is smaller than any value in the third preset range.

In a possible implementation manner, the method and the device can also determine the number of times of occurrence of the abnormality according to the duration, and perform abnormality reminding based on the number of times. For example, in S703, it may be determined that the time-out number of times that the difference between the duration and the pre-counted standard duration is greater than a predetermined threshold is determined, and an abnormal alert of a corresponding alert level is generated according to the number of times.

Finding out links which are easy to deviate according to the frequency of deviation or prompt information occurrence, and optimizing the production flow in a time period which is easy to deviate and a product type which is easy to deviate, so that abnormal orders can be found out in time, abnormal nodes are processed, feedback of customer problems is reduced, and production efficiency is improved.

For example, when the number of times of alarming of the yellow indicator lamp reaches a first value, prompt information of the optimized node is generated, and when the number of times of alarming of the red indicator lamp reaches a second value, prompt information of the optimized node is generated. Wherein the first value may be greater than the second value.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.

Fig. 8 is a schematic diagram of an apparatus for monitoring the production progress of an automobile according to an embodiment of the present application, as shown in fig. 3, the apparatus includes:

an automobile order information receiving unit 801, configured to obtain automobile order information;

the vehicle order ranking information receiving unit 802 is configured to send a vehicle information query request to a sales server according to the vehicle order information, and receive vehicle information and vehicle order ranking information returned by the sales server, where the vehicle information and the vehicle order ranking information are determined by the sales server according to the vehicle information query request;

a production node determining unit 803, configured to send a progress query request to a production server according to the vehicle order ranking information, receive a production node corresponding to the vehicle order ranking information returned by the server, where the production node is determined by the production server according to the progress query request;

and the delivery time determining unit 804 is configured to determine the delivery time of the vehicle order information according to the production node corresponding to the vehicle order information and in combination with the vehicle information.

The vehicle production progress monitoring device shown in fig. 8 corresponds to the vehicle production progress monitoring method shown in fig. 2.

Fig. 9 is a schematic diagram of an apparatus for monitoring the production progress of an automobile according to an embodiment of the present application. As shown in fig. 4, the automobile production progress monitoring apparatus 9 of this embodiment includes: a processor 90, a memory 91 and a computer program 92, such as an automotive production progress monitoring program, stored in the memory 91 and executable on the processor 90. The processor 90, when executing the computer program 92, implements the steps of the various embodiments of the vehicle production progress monitoring method described above. Alternatively, the processor 90, when executing the computer program 92, performs the functions of the modules/units of the apparatus embodiments described above.

By way of example, the computer program 92 may be partitioned into one or more modules/units that are stored in the memory 91 and executed by the processor 90 to complete the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions describing the execution of the computer program 92 in the automotive production progress monitoring device 9.

The vehicle production progress monitoring device may include, but is not limited to, a processor 90, a memory 91. It will be appreciated by those skilled in the art that fig. 9 is merely an example of the vehicle production progress monitoring device 9 and is not meant to be limiting of the vehicle production progress monitoring device 9, and may include more or fewer components than illustrated, or may combine certain components, or different components, e.g., the vehicle production progress monitoring device may also include an input-output device, a network access device, a bus, etc.

The processor 90 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 91 may be an internal storage unit of the vehicle production progress monitoring device 9, for example, a hard disk or a memory of the vehicle production progress monitoring device 9. The memory 91 may also be an external storage device of the automobile production progress monitoring device 9, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the automobile production progress monitoring device 9. Further, the memory 91 may also include both an internal memory unit and an external memory device of the vehicle production progress monitoring device 9. The memory 91 is used for storing the computer program and other programs and data required for the vehicle production progress monitoring device. The memory 91 may also be used for temporarily storing data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. With such understanding, the present application implements all or part of the flow of the method of the above embodiments, and may also be implemented by hardware associated with computer program instructions, where the computer program may be stored on a computer readable storage medium, where the computer program, when executed by a processor, implements the steps of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium may include content that is subject to appropriate increases and decreases as required by jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is not included as electrical carrier signals and telecommunication signals.

The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims

1. A method for monitoring the progress of automobile production, comprising:

acquiring automobile order information;

2. The method of claim 1, wherein determining the delivery time of the vehicle order information in conjunction with the vehicle information according to the production node to which the vehicle order information corresponds comprises:

determining the operation duration of the node to be completed;

3. The method of claim 2, wherein determining a node to be completed included after the production node based on the automotive information comprises:

4. The method of claim 2, wherein determining the job duration of the node to be completed comprises:

5. The method according to claim 4, wherein when the vehicle is a new vehicle type, determining, in preset historical production data, a historical statistical duration of production of the production object according to the production condition, includes:

6. The method of any of claims 1-5, wherein determining a production node to which the vehicle order ranking information corresponds comprises:

7. The method according to any one of claims 1-5, further comprising:

monitoring the duration of each production node;

8. An automotive production schedule monitoring device, the device comprising:

9. An automotive production progress monitoring device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed by the processor.

10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 7.