CN111882220A - Data detection method and device - Google Patents
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Abstract
The invention provides a data detection method and a data detection device, which are used for solving the problems of slow data updating, easy check error occurrence and easy production line stop phenomenon caused by abnormal first inspection existing in the conventional visual inspection mode. The method comprises the following steps: acquiring data to be detected, wherein the data to be detected comprises N types of data, and each type of data in the N types of data corresponds to a quality requirement when a product is produced; n is an integer greater than or equal to 2; acquiring post arrangement information, wherein the post arrangement information is used for indicating the scheduling information of different working posts; and distributing the N types of data in the data to be detected to N positions for detection based on the post arranging information, wherein the N positions correspond to the N types of data one by one.
Description
Technical Field
The present invention relates to the field of data detection technologies, and in particular, to a data detection method and apparatus.
Background
In the production line process of manufacturing enterprises, each batch of products can check whether the first batch of materials is consistent with the technical requirements according to orders before batch production so as to ensure that the quality of the product batch meets the quality control requirements.
The common practice in the existing production line is to make a first check list according to an order before the production premise, process the order detail, material detail, customization requirements, assembly points, image-text details and the like to be checked to form an order first check list, print the order first check list and send the order first check list to a team, manually check the order first check list during the production, and record and store the order first check list on a paper first check list. Therefore, the visual inspection mode not only is difficult to update information data in real time, but also is easy to cause the problem of error checking, and is easy to cause the phenomenon of production line point stop due to abnormal first inspection.
Disclosure of Invention
The embodiment of the invention provides a data detection method and device, which are used for improving the efficiency and accuracy of product inspection.
In a first aspect, an embodiment of the present invention provides a data detection method, including:
acquiring data to be detected, wherein the data to be detected comprises N types of data, and each type of data in the N types of data corresponds to a quality requirement when a product is produced; n is an integer greater than or equal to 2;
acquiring post arrangement information, wherein the post arrangement information is used for indicating the scheduling information of different working posts;
and distributing the N types of data in the data to be detected to N positions for detection based on the post arranging information, wherein the N positions correspond to the N types of data one by one.
In the embodiment of the invention, if the first data in the N types of data is material detail information of a product, the second data is part assembly information of the product; and meanwhile, on the N different kinds of working posts, the first post is a material comparison post, the second post is a post for checking the product part assembly information, the first data is distributed to the first post for detection, and the second data is distributed to the second post for detection. Compared with the traditional mode that all data to be detected are listed on a table and each item of data is detected in sequence on a product, the accuracy of data detection is improved, and meanwhile, the data to be detected are detected in a mode that the positions correspond to the data one to one, so that the accuracy of data detection can also be improved.
Optionally, the data to be detected includes at least one of the following:
first data indicative of process information used to produce the product;
second data indicating assembly information required when assembling the product;
third data indicating material information required in producing the product;
fourth data indicating customer demand information for the product.
In the embodiment of the invention, the process used for producing the product refers to a method and a process used for producing the product, the process information is specifically expressed as image-text information of the product, and the inspection of the process information can be specifically expressed as inspecting whether the product is consistent with the image-text information, so that the continuous improvement of a product production scheme can be realized; the assembly refers to the specification of technical requirements required for assembling parts into qualified products, and the inspection of the assembly information can be specifically represented by checking whether the positions of the parts of the products are correct and whether the connection between the parts is stable by referring to an assembly drawing; the product material refers to a die, a fixture, parts and the like required by the production of a product, the material information can be expressed as basic information such as the name, the code, the specification and the product line of a part, and also comprises information such as a part detail table and an equipment detail table, and the material information inspection can be expressed as scanning and comparing the material according to the chart information of the material; the customized demand information refers to that the product is checked in a one-to-one mode according to the proposal of a customer on the product and the complaint information.
Optionally, after the acquiring the data to be detected, the method further includes:
acquiring after-sale data of the product; determining data to be subjected to key management and control in the data to be detected based on the after-sales data, wherein the key management and control data are data which are easy to cause problems reflected by the after-sales data; based on the post ranking information, the N types of data in the data to be detected are distributed to N posts for detection, and the method comprises the following steps:
and distributing the N types of data in the key management and control data to N posts based on the post arranging information.
In the embodiment of the invention, the data to be managed and controlled are data which have large influence on the stability of the product quality.
Optionally, the important management and control data is one or more items of data to be detected corresponding to quality problems of M before ranking within a specified time period in the collected after-sales data; m is an integer greater than or equal to 1.
In the embodiment of the present invention, the quality problem of M before ranking may be a quality problem with the highest frequency in a period of time, or a quality problem with the most complaints from users or the most economic losses caused by users, and the present invention does not limit this.
Optionally, the post ranking information includes service capability information corresponding to different posts; based on the post arrangement information, allocating the type data in N in the key management and control data to N posts, including:
judging whether each post has the capability of bearing the detection of the corresponding key management and control data according to the service capability information of the N posts in the post arranging information;
if a first post of the N posts cannot bear detection of corresponding key management and control data, adjusting the service capability of the first post so that the first post can bear the detection of the key management and control data; or adjusting the first post to be a second post so as to carry out detection of the key management and control data through the second post.
Based on the post ranking information, the N types of data in the data to be detected are distributed to N posts for detection, and the method comprises the following steps:
and distributing the N types of data in the key management and control data to N posts based on the post arranging information.
In the embodiment of the present invention, the post ranking information includes, but is not limited to: number of staff at post, staff capacity, number of equipment, and staff duty time.
In a second aspect, an embodiment of the present invention provides an apparatus for detecting data, including:
the device comprises an acquisition unit, a data processing unit and a data processing unit, wherein the acquisition unit is used for acquiring at least one type of data to be detected, and each type of data in the at least one type of data to be detected corresponds to a quality requirement when a product is produced;
the acquisition unit is further configured to: acquiring post arrangement information, wherein the post arrangement information is used for indicating the scheduling information of different working posts;
and the processing unit is used for allocating N types of data in the data to be detected to the N posts for detection based on the post arranging information, and the N posts are in one-to-one correspondence with the types of the data to be detected.
Optionally, the data to be detected includes at least one of the following:
first data indicative of process information used to produce the product;
second data indicating assembly information required when assembling the product;
third data indicating material information required in producing the product;
fourth data indicating customer demand information for the product.
Optionally, the obtaining unit is further configured to:
acquiring after-sale data of the product;
determining data to be subjected to key management and control in the data to be detected based on the after-sales data, wherein the key management and control data are data which are easy to cause problems reflected by the after-sales data; when the processing unit is configured to allocate the N types of data in the data to be detected to N posts for detection based on the post ranking information, the processing unit is specifically configured to:
and distributing the N types of data in the key management and control data to N posts based on the post arranging information.
In a third aspect, an embodiment of the present invention provides an apparatus for data detection, including:
a memory for storing computer instructions;
a processor, coupled to the memory, for executing the computer instructions in the memory to perform the method as provided by the first aspect above when executing the computer instructions.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the method as provided in the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present invention;
fig. 2 is a schematic flow chart of a data detection method according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a data detection apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another data detection apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are some, not all embodiments of the solution of the invention. All other embodiments obtained by a person skilled in the art without any inventive work based on the embodiments described in the present application are within the scope of the protection of the technical solution of the present invention.
In the prior art, as described above, when a manufacturing enterprise checks whether a first batch of materials is consistent with technical requirements according to an order, the manufacturing enterprise processes and processes key data for managing and controlling product quality to form a first check table, prints the first check table and issues the first check table to a team, performs manual check during production, and records and stores the first check table on a paper table. Therefore, the visual inspection mode is difficult to realize the real-time update of the product information data, so that the first inspection efficiency is low, and the production line is easy to stop due to the error of the first inspection data check.
In view of this, the embodiment of the present invention provides a data detection method, which obtains data to be detected, classifies the data to be detected, decomposes the data to be detected to different posts for post checking, and finally collects and archives the inspection results of the posts by a system; in the mode, the initial check table does not need to be made for issuing different posts, manual check is not needed, data can be automatically issued and detected by the system, labor force is saved, and efficiency is improved.
The technical scheme provided by the embodiment of the invention is described in the following with the accompanying drawings of the specification.
The data detection method in the embodiment of the present invention may be applied to the application scenario shown in fig. 1, where the application scenario may be understood as a product production system, and the system includes a system main processor 11, a production line 12, and a production line 13, where the production line has different positions, and each position is equipped with a processor device, and may perform data transmission with the system main processor through a network, where the network may be any one of communication networks such as a local area network, a wide area network, or a mobile internet. In this scenario, after the system main processor 11 acquires the data to be detected, the data to be detected is classified into N types of data, for example, 4 types of data, and then the four types of data are respectively allocated to different posts of the corresponding production line, so as to implement post-based inspection of the data. For example, the system main processor 11 allocates the process data in the data to be detected to the process posts for detection, where the data of the corresponding post is stored in the equipment on each post, for example, the process data of the product is stored in the equipment corresponding to the process post, and then the equipment of the process post can detect the data to be detected based on the stored process data after receiving the data to be detected. After the data detection is completed, the equipment at each post uploads the detection result to the system main processor 11 for collection and archiving.
It should be noted that the above-mentioned application scenarios are merely illustrated for the convenience of understanding the spirit and principles of the present invention, and the present invention is not limited in any way in this respect. Rather, embodiments of the present invention may be applied in any scenario where applicable.
The data verification method provided by the embodiment of the invention is explained below.
Referring to fig. 2, a data verification method provided for the embodiment of the present invention may be applied to the scenario shown in fig. 1, for example, the method may be executed by the system main processor 11 in fig. 1. Taking the system main processor 11 to execute the method provided by the present application as an example, the following method specifically includes:
step 201: acquiring data to be detected, wherein the data to be detected comprises N types of data, and each type of data corresponds to a quality requirement when a product is produced. Alternatively, step 201 may be performed by the system main processor 11 in fig. 1.
There are various ways to acquire the data to be detected, for example, a worker may sequentially enter the data to be detected into the system main processor 11.
The data to be detected is a parameter which may affect the stability of the product quality and characterize the performance of each aspect of the product, for example, the data to be detected includes at least one of the following:
first data indicative of process information used to produce the product;
second data indicating assembly information required when assembling the product;
third data indicating material information required in producing the product;
fourth data indicating customer demand information for the product.
The first data is used for indicating process information used when the product is generated, such as graphic and text information of a process related to the product and the like; the second data is used for indicating assembly information required when the product is assembled, such as technical requirement specifications required when the parts are assembled into qualified products, such as assembly drawings, quality reference books of the products and the like; the third data is used for indicating material information required when the product is produced, such as basic information such as names, codes, specifications and product lines of parts of the product, part and equipment lists and the like; the fourth data is used for indicating the requirement information of the customer for the product, such as the relevant information of the customer's suggestion or complaint for the product.
It should be noted that, taking the example that the data to be detected includes four types of data (i.e., the first data, the second data, the third data, and the fourth data) herein, in practical applications, more types of data may also be included, and the embodiment of the present application is not limited. The four types of data described above are mainly exemplified herein.
In one possible implementation, after the data to be detected is divided into four types of data, the four types of data may be further divided into four types of data in detail, for example: dividing the process information into product framework information and product manufacturing process information; the assembly information is divided into assembly information, debugging standard information and the like.
Step 202: acquiring the scheduling information, wherein the scheduling information is used for indicating different working posts.
Alternatively, step 202 may be performed by the system main processor 11 in fig. 1.
In a possible implementation manner, the acquiring process of the ranking information may be: firstly, obtaining various data and data related to posts, then dividing all the posts into a plurality of large classes according to the action and characteristics of each post in the production process, and classifying the large classes into a first class, such as: the first type is a process post and the second type is an assembly post; in the post of same classification, according to the complexity of the process on the station and staff technical merit's difference, subdivide the post once more, for the second grade is categorised, if: a process engineer station, a process technician station. After the first-level classification information and the second-level classification information of all the posts are obtained, the number of the employees on each post, the number of the equipment, the scheduling time information of each employee and the like are obtained. For example, table one:
TABLE 1
Step 203: and allocating N types of data to N positions for detection based on the post arranging information.
Alternatively, step 203 may be performed by the system main processor 11 in fig. 1.
The N types of data have been described above, and specifically include the first data to the fourth data. See table 1 for position information. Thus, the corresponding station can be found based on N types of data, such as a first data, i.e., process information, assigned to station 1, a second data, i.e., assembly information, assigned to station 2, and so on.
In a possible embodiment, the system main processor 11 may also assign the data to be detected to the corresponding stations in more detail, such as: distributing the framework information of the product to the posts of the process engineer in the process post; assigning manufacturing process information for the product to a process technician; distributing the product assembly information to assembly master posts in the assembly posts; and distributing standard information of product debugging to an assembler.
In some embodiments, the system main processor 11 may perform the post detection on all the data to be detected. In other embodiments, the system main processor 11 may further extract data to be mainly managed from the data to be detected, and then perform post-based detection on the data to be mainly managed.
There are various ways of extracting the data to be controlled, such as random extraction or extraction based on after-sales data, from the data to be detected. The manner in which the extraction is based on the after-market data is described below.
Specifically, after the system main processor 11 acquires the data to be detected, the after-sales data of the product may also be acquired, and by analyzing the quality problems reflected in the after-sales data, the data in the data to be detected, which are closely related to the quality problems, are found and are listed as the data to be managed and controlled mainly, and then the data to be managed and controlled mainly is allocated to the corresponding post for inspection. The method comprises the steps that a system main processor extracts quality problems of M before the severity of an event and the occurrence frequency of the event in a specified time period according to factors such as the event, the frequency and the like, wherein M is an integer greater than or equal to 1, then staff or the system main processor analyzes the quality problems, and the data obtained through analysis are one or more data in data to be detected, namely the data to be managed and controlled are important.
In one possible implementation, the quality problem of M before ranking may be the quality problem which occurs most frequently in a period of time, or the quality problem which causes the most complaints or economic losses for users; similarly, the quality problem can be analyzed through manual judgment of workers and through an expert system, and the invention is not limited to this.
Taking a certain television manufacturer as an example, if the warranty period of the television in the manufacturer is three years, the system main processor in the manufacturer transmits the warranty records of each maintenance department within three years to a unified after-sales database for storage, wherein the data in the warranty records mainly comprises: the main processor of the system carries out scientific arrangement on data in an after-sale database so as to obtain the quality conditions of the TV set of the factory in all aspects. If the after-sale database is obtained after the sorting and analysis, the television base and the television produced by the factory are not matched with each other enough, so that the television is not stably installed, and the experience of customers is greatly discounted. The reason that the staff judges that the television base is not fit with the television is as follows: the size specification of the television base is deviated, instruments at the joint of the television and the base are unstable, the quality problem is analyzed by combining an expert system, the data which are determined based on after-sales data and need to be subjected to key control in the to-be-detected data of the product are obtained and are the first data and the first data of the product, namely the process information of the product and the assembly information of the product, and then the main processor of the system allocates the first data and the second data which need to be subjected to key control to the first post and the second post in the first table in a one-to-one correspondence mode for detection.
In some embodiments, the system main processor 11 performs sampling analysis on the after-sales data to obtain key point-to-be-detected control data, and allocates the key point-to-be-detected control data to corresponding posts one by one for detection. For example, the system main processor 11 may determine, according to the service capability information of N posts in the post ranking information, whether each post has the capability of carrying detection of corresponding key management and control data; if a first post of the N posts cannot bear detection of corresponding key management and control data, adjusting the service capability of the first post so that the first post can bear the detection of the key management and control data; or adjusting the first post to be a second post so as to carry out detection of the key management and control data through the second post.
For example, taking table 1 as an example, the key management and control data includes first data, i.e., process information, and second data, i.e., assembly information. The system main processor 11 allocates the first data to the station 1 in table 1, but the service capability of the station 1 is limited, for example, the number of people is less than a preset number of people (for example, the minimum number of people required for detecting the first data), and the number of devices is less than a preset number of devices (for example, the minimum number of devices required for detecting the first data), then it is considered that the station 1 is not capable of carrying the detection of the first data, at this time, the service capability of the station 1 can be adjusted, for example, the number of people of the station 1 is increased, the number of devices of the station 1 is increased, and so on, so that the station 1 can carry the detection service of the first data. Or, when the service capability of station 1 is limited and cannot carry the detection of the first data, the first data may be allocated to other stations for detection, where the other stations may be any stations capable of carrying the detection of the first data.
Taking a certain television manufacturer as an example again in the foregoing, the system main processor 11 firstly allocates the second data, i.e., the assembly data, in the key management and control data to the assembly worker posts classified under the assembly post in table one, but the feedback of the post staff shows that the staff is difficult to find and solve the problem of instable instruments at the connection between the television and the base, and the relevant supervisor arranges more staff on the post in combination with the system main processor to perform product detection, but the after-sales feedback shows that the problem of instable instruments at the connection between the television and the base is still serious. Therefore, relevant supervisors combine the system main processor to distribute the key management and control data to the assembly supervisors under the assembly post classification for inspection.
Fig. 3 is a diagram illustrating an embodiment of the present invention. In the following, taking fig. 3 as an example, the data detection method provided by the embodiment of the present invention will be described in detail, and referring to fig. 3, fig. 3 can be understood as a refinement of the product production system shown in fig. 1, and the system includes:
a process and design guidance database, wherein the first data is stored in the database;
assembling an element and quality control reference library, wherein the second data are stored in the database;
a material detail and change detail library, wherein the database stores the third data;
a customized requirement library, wherein the database stores the fourth data;
the product production system further includes after-sales data, the after-sales data of the product acquired by the system main processor 11 in fig. 1 is stored in the after-sales data, sampling identification is used for sampling the after-sales data, and the sampling process is that the key management and control data is searched for from the data to be detected based on the after-sales data;
the expert system is used for analyzing the result obtained by sampling treatment; inputting data output by the expert system into a first inspection database as the data to be detected in the text, or inputting the data output by the expert system into the first inspection database together with data in a process and design guidance database, an assembly factor and quality control reference database, a material detail and change detail database and a customized requirement database to form the data to be detected;
the shift arrangement information of different working positions is stored in the shift arrangement information, the shift arrangement information obtaining process is to obtain the data and the data of each position as described above, and then to classify according to the action characteristics of each position in the production process, and the specific method can refer to the corresponding description in the embodiment shown in fig. 2;
the first inspection data is decomposed according to the post and is used for decomposing the data to be detected into various types such as graphic detail, namely process information, assembly detail, material detail and customer requirement detail;
the classified data to be detected are distributed to corresponding posts in a one-to-one correspondence manner based on post arrangement information through the assembly line post distribution inspection, and the specific distribution manner can refer to the corresponding description in the embodiment shown in fig. 2;
and the inspection detail collecting and archiving module is used for collecting and archiving inspection results, and after the inspection is finished, the module submits the inspection data item by item according to the positions.
The following describes the apparatus provided by the embodiment of the present invention with reference to the drawings.
Referring to fig. 4, based on the same inventive concept, an embodiment of the present invention provides a data detection apparatus, including an obtaining unit and a processing unit, wherein:
the acquiring unit 401 is configured to acquire at least one type of data to be detected, where each type of data in the at least one type of data to be detected corresponds to a quality requirement when a product is produced; the obtaining unit 401 is further configured to obtain post scheduling information, where the post scheduling information is used to indicate scheduling information of different work posts;
the processing unit 402 is configured to allocate N types of data in the data to be detected to the N posts for detection based on the post ranking information, where the N posts are in one-to-one correspondence with the types of the data to be detected.
The data to be detected acquired by the acquisition unit 401 includes at least one of the following:
first data indicative of process information used to produce the product;
second data indicating assembly information required when assembling the product;
third data indicating material information required in producing the product;
fourth data indicating customer demand information for the product.
Optionally, the obtaining unit 401 is further configured to:
acquiring after-sale data of the product;
determining data to be subjected to key management and control in the data to be detected based on the after-sales data, wherein the key management and control data are data which are easy to cause problems reflected by the after-sales data;
when the processing unit is configured to allocate the N types of data in the data to be detected to N posts for detection based on the post ranking information, the processing unit is specifically configured to:
and distributing the N types of data in the key management and control data to N posts based on the post arranging information.
Referring to fig. 5, based on the same inventive concept, an embodiment of the present invention provides a data detection apparatus, which includes at least one processor 501, where the processor 501 is configured to execute a computer program stored in a memory, and implement the steps of the data detection method shown in fig. 2 provided by the embodiment of the present invention.
Optionally, the processor 501 may be specifically a central processing unit, a specific ASIC, and may be one or more integrated circuits for controlling the execution of programs.
Optionally, the data detection apparatus may further include a memory 502 connected to the at least one processor 501, and the memory 502 may include ROM, RAM, and disk memory. The memory 502 is used for storing data required by the processors 501 during operation, that is, storing instructions executable by at least one of the processors 501, and the at least one of the processors 501 executes the instructions stored in the memory 502 to perform the method shown in fig. 5. The number of the memories 502 is one or more. The memory 502 is shown in fig. 5, but it should be understood that the memory 502 is not an optional functional block, and is shown in fig. 5 by a dotted line.
The physical devices corresponding to the obtaining unit 401 and the processing unit 402 may be the aforementioned processor 501. The data detection apparatus may be used to perform the method provided by the embodiment shown in fig. 2. Therefore, regarding the functions that can be realized by each functional module in the device, reference may be made to the corresponding description in the embodiment shown in fig. 2, which is not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A method for data detection, comprising:
acquiring data to be detected, wherein the data to be detected comprises N types of data, and each type of data in the N types of data corresponds to a quality requirement when a product is produced; n is an integer greater than or equal to 2;
acquiring post arrangement information, wherein the post arrangement information is used for indicating the scheduling information of different working posts;
and distributing the N types of data in the data to be detected to N positions for detection based on the post arranging information, wherein the N positions correspond to the N types of data one by one.
2. The method of claim 1, wherein the data to be detected comprises at least one of:
first data indicative of process information used to produce the product;
second data indicating assembly information required when assembling the product;
third data indicating material information required in producing the product;
fourth data indicating customer demand information for the product.
3. The method of claim 1, wherein after said acquiring data to be detected, the method further comprises:
acquiring after-sale data of the product;
determining data to be subjected to key management and control in the data to be detected based on the after-sales data, wherein the key management and control data are data which are easy to cause problems reflected by the after-sales data;
based on the post ranking information, the N types of data in the data to be detected are distributed to N posts for detection, and the method comprises the following steps:
and distributing the N types of data in the key management and control data to N posts based on the post arranging information.
4. The method according to claim 3, wherein the important management and control data is one or more pieces of collected after-sales data corresponding to quality problems ranked M before a specified time period; m is an integer greater than or equal to 1.
5. The method according to claim 3, wherein the post arranging information comprises service capability information corresponding to different posts;
based on the post arrangement information, allocating the type data in N in the key management and control data to N posts for detection, including:
judging whether each post has the capability of bearing the detection of the corresponding key management and control data according to the service capability information of the N posts in the post arranging information;
if a first post of the N posts cannot bear detection of corresponding key management and control data, adjusting the service capability of the first post so that the first post can bear the detection of the key management and control data; or adjusting the first post to be a second post so as to carry out detection of the key management and control data through the second post.
6. An apparatus for detecting data, comprising:
the device comprises an acquisition unit, a data processing unit and a data processing unit, wherein the acquisition unit is used for acquiring at least one type of data to be detected, and each type of data in the at least one type of data to be detected corresponds to a quality requirement when a product is produced;
the acquisition unit is further configured to: acquiring post arrangement information, wherein the post arrangement information is used for indicating the scheduling information of different working posts;
and the processing unit is used for distributing N types of data in the data to be detected to the N posts for detection based on the post arranging information, wherein the N posts are in one-to-one correspondence with the types of the data to be detected.
7. The apparatus of claim 6, wherein the data to be detected comprises at least one of:
first data indicative of process information used to produce the product;
second data indicating assembly information required when assembling the product;
third data indicating material information required in producing the product;
fourth data indicating customer demand information for the product.
8. The apparatus of claim 6, wherein the obtaining unit is further configured to:
acquiring after-sale data of the product;
determining data to be subjected to key management and control in the data to be detected based on the after-sales data, wherein the key management and control data are data which are easy to cause problems reflected by the after-sales data;
when the processing unit is configured to allocate the N types of data in the data to be detected to N posts for detection based on the post ranking information, the processing unit is specifically configured to:
and distributing the N types of data in the key management and control data to N posts based on the post arranging information.
9. An apparatus for data detection, comprising:
a memory for storing computer instructions;
a processor coupled to the memory for executing computer instructions in the memory to perform the method of any of claims 1-5 when the computer instructions are executed.
10. A computer-readable storage medium storing computer instructions which, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 5.
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