CN112214513A - Intelligent manufacturing material management system - Google Patents
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Abstract
The invention relates to the field of intelligent manufacturing and industrial big data, and particularly discloses an intelligent manufacturing material management system which comprises a first user terminal, a second user terminal and an intelligent manufacturing cloud platform, wherein the intelligent manufacturing cloud platform comprises a position analysis module, a material acceptance module and a database. A first user terminal sends a material order fulfillment request to an intelligent manufacturing cloud platform; the position analysis module receives material arrival information sent by the first user terminal. And the second user terminal acquires the multi-dimensional acceptance data acquired by the acceptance Internet of things equipment and sends the data to the material acceptance module. And the material acceptance module analyzes the multidimensional acceptance data and the material order fulfillment request to obtain acceptance qualification. And when the acceptance qualification degree is greater than the acceptance qualification threshold, the material acceptance module sends acceptance qualification information to the first user terminal and the second user terminal. The invention can effectively improve the efficiency of material acceptance in the field of intelligent manufacturing.
Description
Technical Field
The invention relates to the field of intelligent manufacturing and industrial big data, in particular to an intelligent manufacturing material management system.
Background
Intelligent manufacturing refers to the generic name of advanced manufacturing processes, systems and models with the functions of information self-perception, self-decision, self-execution, etc. The method is specifically embodied in the deep fusion of each link of the manufacturing process and a new generation of information technology, such as the Internet of things, big data, cloud computing, artificial intelligence and the like. Smart manufacturing generally has four major features: the intelligent factory is used as a carrier, the intellectualization of a key manufacturing link is used as a core, an end-to-end data flow is used as a base, and the internet communication is used as a support. The main content of the method comprises intelligent products, intelligent production, intelligent factories, intelligent logistics and the like.
The material acceptance inspection refers to the work of inspecting the quantity, weight and other attributes of the materials according to relevant information such as order information, arrived material attribute information, transportation bill of lading, packing bill and the like of the materials arriving at a target position according to a certain program so as to verify whether the arriving materials are consistent with the materials required by a user in the material order.
The existing material acceptance is mainly manual acceptance, when materials reach a specified destination, an acceptance person of the materials reads material label information of each unit of material by using a scanning instrument, manually collects and records material attribute information, manually verifies whether the material label information is correct or not, compares the collected material attribute information with the material attribute information in the material order information, and verifies whether the arrived materials are consistent with materials required by users in the material order.
When the manual acceptance of the materials collects the material data, the time is spent, the error rate of the manual data recording is high, and meanwhile, the collected precision is difficult to guarantee by the material attribute information collected manually.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent manufacturing material management system which comprises a first user terminal, a second user terminal and an intelligent manufacturing cloud platform, wherein the first user terminal and the second user terminal are respectively in communication connection with the intelligent manufacturing cloud platform, the first user terminal is a terminal device used by a material delivery party, and the second user terminal is a terminal device used by a material receiving party; the intelligent manufacturing cloud platform comprises a position analysis module, a material acceptance module and a database, wherein,
a first user terminal sends a material order fulfillment request to an intelligent manufacturing cloud platform, wherein the material order fulfillment request comprises material order information, target position information and material label information;
after receiving material arrival information sent by a first user terminal, a second user terminal acquires multi-dimensional acceptance data collected by an acceptance internet of things device and sends the multi-dimensional acceptance data to an intelligent manufacturing cloud platform, wherein the multi-dimensional acceptance data comprises visual acceptance data, weight acceptance data and label acceptance data;
a material acceptance module of the intelligent manufacturing cloud platform receives the material order fulfillment request and the multidimensional acceptance data, obtains a material acceptance dictionary and a material data dictionary according to the material order fulfillment request and the multidimensional acceptance data, and obtains acceptance qualification based on the analysis of the material acceptance dictionary and the material data dictionary;
and when the acceptance qualification degree is greater than the acceptance qualification threshold, the material acceptance module sends acceptance qualification information to the first user terminal and the second user terminal.
According to a preferred embodiment, the material order information comprises material weight, material type, material properties and material quantity.
According to a preferred embodiment, the acceptance internet of things device comprises: the device comprises an intelligent electronic scale, a video monitoring device, a Doppler radar device, a millimeter wave imaging device and an infrared detection device.
According to a preferred embodiment, the material acceptance dictionary comprises: executing material index identifiers of all material acceptance indexes of material acceptance and acceptance standard vectors corresponding to all the material acceptance indexes;
the material data dictionary includes: executing material index identifiers of all material acceptance indexes of material acceptance and acceptance data vectors corresponding to each material acceptance index;
the material acceptance index comprises: material weight, material length, material width, material label, material shape.
According to a preferred embodiment, the material acceptance module accepts from the acceptance data vector T ═ T1,t2…tp]And acceptance criterion vector W ═ W1,w2…wp]Calculating the qualification degree c of each material acceptance index,
wherein, the elements in the acceptance data vector T are the actual characteristic values of the characteristics of the corresponding material acceptance indexes, TiThe actual characteristic value of the ith characteristic corresponding to the material acceptance index is obtained;
the elements in the acceptance standard vector W are standard characteristic values of the characteristics of the corresponding material acceptance indexes, WiThe standard characteristic value of the ith characteristic corresponding to the material acceptance index is obtained;
p is the number of the characteristics corresponding to the material acceptance index, i is the index of the characteristics corresponding to the material acceptance index,
according to a preferred embodiment, the material acceptance module calculates the acceptance qualification degree s according to the qualification degrees corresponding to all the material acceptance indexes,
wherein q is the number of material acceptance indexes, j is the index of the material acceptance indexes, cjThe qualification degree corresponding to the jth material acceptance index, e is a natural base number, gjAnd the evaluation coefficient is the evaluation coefficient corresponding to the jth material acceptance index.
According to a preferred embodiment, the position analysis module acquires a material delivery address according to a material order fulfillment request;
the position analysis module acquires material position information in the material arrival information;
the position analysis module analyzes whether material distribution abnormity occurs according to the material position information and the material distribution address;
and when the material distribution is abnormal, sending prompt information of the material distribution abnormality to the corresponding first user terminal and the second user terminal.
According to a preferred embodiment, the material order fulfillment request includes material order information, target location information, and material tag information; the material order information comprises material weight, material type, material attribute and material quantity.
According to a preferred embodiment, the material distribution module receives a material distribution request sent by the second user terminal,
the material distribution module generates a distribution instruction according to the material distribution request,
the material distribution module acquires a workshop information list from the database, and obtains a material identifier of each unit material and a corresponding distribution workshop identifier according to the workshop information list and the material label information;
the material distribution module sends a distribution instruction, a distribution workshop identifier and a material identifier to the distribution mechanical equipment;
the allocation mechanism performs an allocation action based on the allocation command to allocate each unit of material to a corresponding plant based on the allocated plant identifier and the material identification.
The invention has the following beneficial effects:
the intelligent manufacturing cloud platform can calculate the acceptance qualification degree of the target material according to the multi-dimensional acceptance data of the arriving material and the material order fulfillment request so as to execute intelligent material acceptance. Compare with traditional person of checking and accepting through the visual inspection manual work acceptance check, not only can improve the efficiency that the material was checked and accepted, can also reduce the error rate of artifical record data.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a block diagram of an intelligent manufacturing materials management system in accordance with an exemplary embodiment;
fig. 2 is a block diagram of an intelligent manufacturing materials management system according to another exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
As shown in fig. 1, in one embodiment, the intelligent manufacturing material management system includes a first user terminal, a second user terminal, and an intelligent manufacturing cloud platform, where the first user terminal is a terminal device used by a carrier to send real-time logistics information and receive real-time prompt information, and includes: handheld scanners, cell-phones, panel computers, intelligent wrist-watch. The second user terminal is a terminal device for receiving real-time logistics information and sending instructions for a receiver, and comprises: cell-phone, panel computer, notebook computer, intelligent wrist-watch.
Cloud computing is a service delivery model for convenient, on-demand network access to a shared pool of configurable computing resources. Configurable computing resources are resources that can be deployed and released quickly with minimal administrative cost or interaction with a service provider, such as networks, network bandwidth, servers, processing, memory, storage, applications, virtual machines, and services.
The intelligent manufacturing cloud platform comprises a position analysis module, a material acceptance module and a database, wherein the position analysis module and the database are respectively in communication connection with the material acceptance module.
The first user terminal is used for sending a material order fulfillment request to the intelligent manufacturing cloud platform;
the second user terminal is used for acquiring multi-dimensional acceptance data acquired by the acceptance Internet of things equipment and sending the data to the material acceptance module;
the position analysis module is used for analyzing whether material distribution abnormity occurs according to the material arrival information received from the first user terminal;
the material acceptance module is used for analyzing and obtaining acceptance qualification according to the material order fulfillment request and the multidimensional acceptance data received from the second user terminal;
when the acceptance qualification degree is greater than the acceptance qualification threshold, the material acceptance module sends acceptance qualification information to the first user terminal and the second user terminal;
and when the acceptance qualification degree is smaller than the acceptance qualification threshold, the material acceptance module sends a manual acceptance instruction to the second user terminal.
The operation of the present invention will be explained in detail below. Specifically, the material management method executed by the intelligent manufacturing material management system may include the following steps:
s1, the first user terminal sends a material order fulfillment request to the intelligent manufacturing cloud platform, wherein the material order fulfillment request comprises material order information, target position information and material label information.
Optionally, the target position information is used to indicate a position where the target material needs to be delivered, and is used to confirm whether the target material reaches a correct position.
Optionally, the material order information includes a material weight, a material type, a material attribute, and a material quantity.
Optionally, the material label information includes a material attribute, a material type, a material quantity, corresponding label information, a material identifier, and a corresponding workshop identifier of each unit material.
The material attributes include material name, material length, width, height, form and material.
S2, after receiving the material arrival information sent by the first user terminal, the second user terminal obtains the multi-dimensional acceptance data collected by the acceptance Internet of things equipment and sends the data to the intelligent manufacturing cloud platform.
Optionally, the first user terminal is a terminal device of a material delivery party, and the second user terminal is a terminal device of a material receiving party; the first user terminal comprises a handheld scanner, a smart phone, a tablet computer and a smart watch; the second user terminal comprises a smart phone, a tablet computer, a notebook computer and a smart watch.
Optionally, the material arrival information is used to prompt the second user end-user that the material has arrived at the target location, and the material arrival information includes the current location of the material.
Optionally, the acceptance internet of things device includes: the system comprises an intelligent electronic scale, video monitoring equipment, Doppler radar equipment, millimeter wave imaging equipment, infrared detection equipment and an RFID reader-writer.
Optionally, the multi-dimensional acceptance data comprises visual acceptance data, weight acceptance data and label acceptance data.
Optionally, the forming process of the multidimensional acceptance data includes: the second user terminal acquires the weight data acquired by the intelligent electronic scale to generate weight acceptance data;
the second user terminal acquires video stream data acquired by the video monitoring equipment to generate visual acceptance data;
the second user terminal acquires material form data acquired by sensing equipment such as Doppler radar equipment, millimeter wave imaging equipment, infrared detection equipment and the like to generate form acceptance data;
the second user terminal acquires the material label data read by the RFID reader to generate label acceptance data;
and the second user terminal integrates the vision acceptance data, the weight acceptance data, the form acceptance data and the label acceptance data to obtain the multi-dimensional acceptance data of the target material.
Optionally, the form acceptance data includes material data, shape data, material length, width, and height.
Optionally, the tag acceptance data is composed of material tag information of each unit material, and the material tag information includes material attribute, material type, material quantity, tag information corresponding to each material, material identifier and corresponding workshop identifier of the unit material
The vision acceptance data includes profile data of the material container for determining whether the material arriving at the destination is damaged by a large area.
And S3, analyzing the material acceptance check module of the intelligent manufacturing cloud platform according to the multidimensional acceptance check data and the material order fulfillment request to obtain acceptance check qualification.
Specifically, a material acceptance module of the intelligent manufacturing cloud platform acquires a material order fulfillment request and multidimensional acceptance data;
the material acceptance module acquires a material acceptance dictionary and a material data dictionary according to the material order fulfillment request and the multi-dimensional acceptance data respectively;
the material acceptance dictionary includes: executing material index identifiers of all material acceptance indexes of material acceptance and acceptance standard vectors W corresponding to all the material acceptance indexes;
the materials data dictionary includes: executing material index identifiers of all material acceptance indexes of material acceptance and acceptance data vectors T corresponding to each material acceptance index;
the material acceptance indexes comprise: material weight, material length, material label, material shape, and material width.
The material acceptance module judges whether the sent materials are matched with the weight, the quantity, the form and the label information in the material order information and the material label information through the multidimensional acceptance data.
Optionally, the location analysis module acquires a material distribution address according to the material order fulfillment request;
the position analysis module acquires material position information in the material arrival information;
the position analysis module analyzes whether material distribution abnormity occurs according to the material position information and the material distribution address;
and when the material distribution is abnormal, sending prompt information of the material distribution abnormality to the corresponding first user terminal and the second user terminal.
Optionally, the material delivery exception is that the current location of the arriving material does not coincide with the target location specified by the order user in the material order fulfillment request.
Optionally, the material acceptance module accepts the acceptance data vector T ═ T1,t2…tp]And acceptance criterion vector W ═ W1,w2…wp]Calculating the qualification degree c of each material acceptance index,
wherein, the elements in the acceptance data vector T are the actual characteristic values of the characteristics of the corresponding material acceptance indexes, TiThe actual characteristic value of the ith characteristic corresponding to the material acceptance index is obtained;
the elements in the acceptance standard vector W are standard characteristic values of the characteristics of the corresponding material acceptance indexes, WiThe standard characteristic value of the ith characteristic corresponding to the material acceptance index is obtained;
p is the number of the characteristics corresponding to the material acceptance index, i is the index of the characteristics corresponding to the material acceptance index,
and the qualification degree c of each material acceptance index is the qualification degree of the material sent according to the judgment of each material acceptance index.
Optionally, the material acceptance module calculates acceptance qualification s according to the qualification corresponding to all the material acceptance indexes,
wherein q is the number of material acceptance indexes, and j is the material acceptance indexTarget index, cjThe qualification degree corresponding to the jth material acceptance index, e is a natural base number, gjAnd the evaluation coefficient is the evaluation coefficient corresponding to the jth material acceptance index.
And the acceptance pass degree is the pass degree of the whole batch of materials.
Optionally, before the material acceptance module analyzes and obtains acceptance qualification according to the multidimensional acceptance data and the material order fulfillment request, the method further includes a pre-inspection of the target material by the material acceptance module, and the pre-inspection process includes:
the material acceptance module acquires visual acceptance data from the multidimensional acceptance data;
the material acceptance module judges the damage degree of the appearance of the target material container according to the vision acceptance data;
when the damage degree of the appearance of the container loaded with the target material is higher than a preset threshold value, the material acceptance module directly judges that the target material is an unqualified acceptance material, and sends unqualified acceptance information to the corresponding first user terminal and the second user terminal.
And when the damage degree of the appearance of the container loaded with the target material is lower than a preset threshold value, the material acceptance module analyzes and calculates the acceptance qualification degree according to the multidimensional acceptance data and the material order fulfillment request.
Optionally, the preset threshold of the damage degree of the shape of the container loaded with the target material may be adaptively changed according to the type and the attribute of the target material, and specifically, the material acceptance module may determine the attribute of the material according to the material tag information, so as to preset the threshold of the damage degree of the shape of the container loaded with the target material.
Optionally, the material in the material order fulfillment request sent by the first user terminal includes a batch of molds of processing instruments, and a container loading the molds of the processing instruments is strongly pressed by upper-layer goods due to bumping of vehicles during transportation. When the material acceptance module receives a material order fulfillment request, the material of the batch of molds is obtained to be plastic according to the material label information, and the threshold value of the shape damage degree specified by the material is fifteen percent.
The material acceptance module analyzes the appearance damage degree of the container loaded with the batch of moulds for processing the instrument to reach forty percent through vision acceptance data, and the material acceptance module directly judges the mould of the processing instrument to be an unqualified acceptance material and sends unqualified acceptance information and reasons to the corresponding first user terminal and second user terminal.
Optionally, the material in the material order fulfillment request sent by the first user terminal includes a batch of steel pipes, and the container loaded with the steel pipes is strongly squeezed by upper-layer goods due to bumping of the vehicle in the transportation process. When the material acceptance module receives a material order fulfillment request, the material of the batch of dies is obtained according to the material label information, and the threshold value of the shape damage degree specified by the material is thirty percent.
The material acceptance module analyzes the appearance damage degree of the container loaded with the batch of steel pipes to be twenty percent through vision acceptance data, and the material acceptance module judges that the pre-inspection is qualified.
The material acceptance module can detect out in advance the not up to standard material that takes place the large tracts of land damage to the preliminary examination of target material, improves the acceptance efficiency, alleviates acceptance staff's work burden, practices thrift the cloud computing resource of intelligent manufacturing cloud platform.
Optionally, the process of the material acceptance module for performing pre-inspection on the target material further includes pre-inspection of the label correctness of the target material by the material acceptance module, and the pre-inspection includes the following steps:
the material acceptance module acquires label acceptance data from the multidimensional acceptance data;
the material acceptance module acquires material label information from the material order fulfillment request;
the material acceptance module determines whether the material label information of each unit material in the label acceptance data is consistent with the material label information of each unit material in the material order fulfillment request;
when the label acceptance data are consistent with the material label information, the material acceptance module acquires the visual acceptance data from the multidimensional acceptance data to perform the appearance pre-inspection of the material container;
and when the label acceptance data is inconsistent with the material label information, the material acceptance module sends acceptance error information to the corresponding first user terminal and the second user terminal to request the second user terminal to manually verify the correctness of the material label information.
And S4, when the acceptance qualification degree is greater than the acceptance qualification threshold, the material acceptance module sends acceptance qualification information to the first user terminal and the second user terminal.
Optionally, when the acceptance qualification degree is greater than the acceptance qualification threshold, the material acceptance is qualified, at this time, a message of qualified acceptance is sent to the first user terminal and the second user terminal, the second user terminal confirms the message of qualified acceptance, and sends a confirmation instruction to the intelligent manufacturing cloud platform, and the intelligent manufacturing cloud platform sends order completion information to the first user terminal and the second user terminal.
And S5, when the acceptance qualification degree is smaller than the acceptance qualification threshold, the material acceptance module sends a manual acceptance instruction to the second user terminal to execute manual acceptance.
Optionally, the manual verification instruction includes a reason for failure in acceptance, and the second user terminal performs manual acceptance according to the manual acceptance instruction.
Optionally, the manual acceptance is a process of verifying the material quantity, the material type, the material label and the material weight again by adopting a manual acceptance method when the acceptance qualification degree is smaller than the acceptance qualification threshold.
According to the intelligent manufacturing cloud platform, the materials are inspected according to the material related information collected by the inspection Internet of things equipment, unqualified material information is sent to an inspection worker when the materials are not inspected, the inspection worker only needs to confirm wrong material information, accurate inspection is achieved, the work burden of the inspection worker is greatly reduced, and the inspection efficiency is improved.
Optionally, the material in the material order fulfillment request sent by the first user terminal to the intelligent manufacturing cloud platform includes a batch of lathe control elements, and the intelligent manufacturing cloud platform checks and accepts the batch of lathe control elements according to the material order fulfillment request. And the material acceptance module analyzes according to the multidimensional acceptance data and the material order fulfillment request to obtain that the acceptance qualification degree of the lathe control elements is smaller than an acceptance qualification threshold, wherein the reason of the unqualified lathe control elements is that the total weight of the lathe control elements does not accord with the weight of the material in the material order information, and the total number of the lathe control elements is smaller than the number of the material in the material order information.
And the material acceptance module generates an artificial acceptance instruction and sends the artificial acceptance instruction to the second user terminal. The manual acceptance instruction comprises a specific reason for unqualified acceptance, and the specific reason for unqualified acceptance comprises the weight and the quantity of the materials corresponding to which labels are inconsistent. And when the second user terminal receives the manual acceptance instruction, directly verifying the quantity and the weight of the batch of lathe control elements according to the unqualified material information, and further confirming the inconsistent material information in the batch of lathe control elements and the material order information so as to facilitate the further processing of the user.
According to the invention, the intelligent manufacturing cloud platform can execute the intelligent material acceptance by calculating the acceptance qualification degree of the target material according to the multi-dimensional acceptance data of the arriving material and the material order fulfillment request by using the cloud computing technology. In addition, when carrying out the self-acceptance check unqualified, send the unqualified reason of material for the person of accepting the inspection to the person of accepting the inspection is mainly accepted the local of unqualified, realizes accurate acceptance check, has alleviateed the personnel's of accepting the inspection work burden, improves the efficiency of accepting the inspection, practices thrift the human cost.
Referring to fig. 2, in another embodiment, the intelligent manufacturing cloud platform further includes a material distribution module, the material acceptance module of the intelligent manufacturing cloud platform obtains acceptance qualification according to the multidimensional acceptance data and the material order fulfillment request analysis, and when the acceptance qualification is greater than an acceptance qualification threshold, the material distribution module distributes the material.
Specifically, the process of distributing the material by the material distribution module comprises the following steps:
the material distribution module receives a material distribution request sent by a second user terminal;
the material label information includes label information of all unit materials.
Alternatively, the unit materials may be materials of a packing box, each unit material is labeled with label information, and the label information includes a material identifier, a weight, a material, a quantity, a form and a distribution workshop identifier of the unit material.
And the material distribution module generates a distribution instruction according to the material distribution request.
The material distribution module acquires a workshop information list from the database, and obtains a material identifier of each unit material and a corresponding distribution workshop identifier according to the workshop information list and the material label information;
the material distribution module sends a distribution instruction, a distribution workshop identifier and a material identifier to the distribution mechanical equipment;
and the allocation mechanical equipment executes allocation action according to the allocation instruction and allocates each unit material to the corresponding workshop according to the allocation workshop identifier and the material identifier.
Optionally, the material allocation request is used for instructing a material allocation module to perform an allocation operation; the distribution mechanical equipment is used for material distribution and comprises a mechanical arm, an automatic conveying device and automatic handling equipment; the workshop information list comprises a workshop identifier, a workshop production type and received material attribute information of each workshop.
Optionally, a factory successfully arrives at a batch of accessory parts for producing automobile parts and production cylinders, the batch of accessory parts and accessory parts are not extruded at any time in the transportation process, the appearance is complete, the current arrival position is consistent with the target position specified by the user in the material order, when the acceptance check qualification degree of the batch of accessory parts and accessory parts is larger than the acceptance check qualification threshold value through analysis of the material acceptance check module, the material acceptance check module sends acceptance check qualification information to the first user terminal and the second user terminal, and the second user terminal sends a material distribution request to the material distribution module for automatic material distribution.
And when the material distribution module receives the material distribution request, the material identifier and the distribution workshop identifier of each unit material are obtained and sent to the automatic handling equipment for material distribution.
And the automatic handling equipment allocates the parts to the corresponding automobile production workshops respectively according to the material identifiers and the corresponding allocated workshop identifiers of each unit material.
In this embodiment, when the acceptance qualification degree is greater than the acceptance qualification threshold, the material distribution module is to reaching the automatic distribution of material, has reduced the cost of labor, liberates people from simple repeated work. The material distribution module of the intelligent manufacturing cloud platform is used for distributing materials, distribution data obtained by the distribution mechanical equipment are accurate, the error rate of manual distribution can be greatly reduced, and the distribution efficiency is improved.
Although specific functionality is discussed above with reference to particular modules, it should be noted that the functionality of the various modules discussed herein may be divided into multiple modules and/or at least some of the functionality of multiple modules may be combined into a single module. Additionally, a particular module performing an action discussed herein includes the particular module itself performing the action, or alternatively the particular module invoking or otherwise accessing another component or module that performs the action (or performs the action in conjunction with the particular module). Thus, a particular module that performs an action can include the particular module that performs the action itself and/or another module that the particular module that performs the action calls or otherwise accesses.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various devices, elements, components or elements, these devices, elements, components or elements should not be limited by these terms. These terms are only used to distinguish one device, element, component or element from another device, element, component or element.
Although the present invention has been described in connection with some embodiments, it is not intended to be limited to the specific form set forth herein. Rather, the scope of the invention is limited only by the appended claims. The order of features in the claims does not imply any specific order in which the features must be worked. Furthermore, in the claims, the word "comprising" does not exclude other elements, and the indefinite article "a" or "an" does not exclude a plurality.
Claims (9)
1. An intelligent manufacturing material management system is characterized by comprising a first user terminal, a second user terminal and an intelligent manufacturing cloud platform, wherein the first user terminal and the second user terminal are respectively in communication connection with the intelligent manufacturing cloud platform, the first user terminal is terminal equipment used by a material delivery party, and the second user terminal is terminal equipment used by a material receiving party; the intelligent manufacturing cloud platform comprises a position analysis module, a material acceptance module and a database, wherein,
a first user terminal sends a material order fulfillment request to an intelligent manufacturing cloud platform, wherein the material order fulfillment request comprises material order information, target position information and material label information;
after receiving material arrival information sent by a first user terminal, a second user terminal acquires multi-dimensional acceptance data collected by an acceptance internet of things device and sends the multi-dimensional acceptance data to an intelligent manufacturing cloud platform, wherein the multi-dimensional acceptance data comprises visual acceptance data, weight acceptance data and label acceptance data;
a material acceptance module of the intelligent manufacturing cloud platform receives the material order fulfillment request and the multidimensional acceptance data, obtains a material acceptance dictionary and a material data dictionary according to the material order fulfillment request and the multidimensional acceptance data, and obtains acceptance qualification based on the analysis of the material acceptance dictionary and the material data dictionary;
and when the acceptance qualification degree is greater than the acceptance qualification threshold, the material acceptance module sends acceptance qualification information to the first user terminal and the second user terminal.
2. The system of claim 1, wherein the material order information includes material weight, material type, material properties, and material quantity.
3. The system of claim 1 or 2, wherein the acceptance internet of things device comprises: the device comprises an intelligent electronic scale, a video monitoring device, a Doppler radar device, a millimeter wave imaging device and an infrared detection device.
4. The system of claim 3, wherein the material acceptance dictionary comprises: executing material index identifiers of all material acceptance indexes of material acceptance and acceptance standard vectors W corresponding to all the material acceptance indexes;
the material data dictionary includes: executing material index identifiers of all material acceptance indexes of material acceptance and acceptance data vectors T corresponding to each material acceptance index;
the material acceptance index comprises: material weight, material length, material width, material label, material shape.
5. The system of claim 4, wherein the acceptance criteria vector is W ═ W1,w2…wp]；
The acceptance data vector is T ═ T1,t2…tp]。
6. The system of claim 5, wherein the material acceptance module calculates acceptance eligibility according to the eligibility corresponding to all material acceptance indicators,
wherein s is acceptance qualification degree, q is the number of material acceptance indexes, j is index of the material acceptance indexes, cjThe qualification degree corresponding to the jth material acceptance index, e is a natural base number, gjAnd the evaluation coefficient is the evaluation coefficient corresponding to the jth material acceptance index.
7. The system of claim 6, wherein the location analysis module obtains a material delivery address based on a material order fulfillment request;
the position analysis module acquires material position information in the material arrival information;
the position analysis module analyzes whether material distribution abnormity occurs according to the material position information and the material distribution address;
and when the material distribution is abnormal, sending prompt information of the material distribution abnormality to the corresponding first user terminal and the second user terminal.
8. The system of any one of claims 1 to 7, wherein the smart manufacturing cloud platform further comprises a material distribution module, wherein the material acceptance module of the smart manufacturing cloud platform obtains acceptance criteria according to the multidimensional acceptance data and the material order fulfillment request analysis,
and when the acceptance qualification degree is greater than the acceptance qualification threshold value, the material distribution module distributes the materials.
9. The system according to one of claims 1 to 7, wherein the first user terminal comprises a handheld scanner, a smartphone, and a tablet; the second user terminal comprises a smart phone, a tablet computer and a notebook computer.
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| CN202011127380.7A CN112214513A (en) | 2020-10-20 | 2020-10-20 | Intelligent manufacturing material management system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113781007A (en) * | 2021-09-22 | 2021-12-10 | 广联达数字科技(深圳)有限公司 | Data verification system and method |
| CN114004565A (en) * | 2021-10-31 | 2022-02-01 | 广东筑智科技有限公司 | Wisdom building site material system of accepting based on thing networking |
| CN114852642A (en) * | 2022-05-11 | 2022-08-05 | 智辰云科(重庆)科技有限公司 | Material acceptance device based on BIM technology |
-
2020
- 2020-10-20 CN CN202011127380.7A patent/CN112214513A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113781007A (en) * | 2021-09-22 | 2021-12-10 | 广联达数字科技(深圳)有限公司 | Data verification system and method |
| CN113781007B (en) * | 2021-09-22 | 2024-08-06 | 广联达数字科技(深圳)有限公司 | Data verification system and method |
| CN114004565A (en) * | 2021-10-31 | 2022-02-01 | 广东筑智科技有限公司 | Wisdom building site material system of accepting based on thing networking |
| CN114852642A (en) * | 2022-05-11 | 2022-08-05 | 智辰云科(重庆)科技有限公司 | Material acceptance device based on BIM technology |
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Application publication date: 20210112 |