CN112132494B - Material supply control method and system, electronic equipment and storage medium - Google Patents
Material supply control method and system, electronic equipment and storage medium Download PDFInfo
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Abstract
A material supply control method based on data operation is used for supplying materials to an intelligent Internet of things workshop, receiving order information and calculating the minimum unit consumption of the required materials; receiving production information in the intelligent Internet of things workshop, wherein the production information at least comprises the stored quantity of materials and the first material consumption of the intelligent Internet of things workshop; calculating the residual material storage amount of the intelligent Internet of things workshop according to the material storage amount; determining a material load value according to the remaining and storable amount of the materials and the first material consumption amount and calculating the single material supply amount; determining the pre-production time, and calculating the consumption of the second material of the intelligent machine within the pre-production time; comparing the stored amount of the material with the minimum unit usage amount, the consumption amount of the second material and the material load value; and when the stored amount of the materials is lower than the sum of the minimum unit usage amount and the consumption amount of the second materials, supplying the materials to the intelligent Internet of things workshop according to the single material supply amount, and stopping supplying the materials when the stored amount of the materials is higher than the material load value.
Description
Technical Field
The invention relates to the field of data operation, in particular to a material supply control method based on data operation, a material supply control system based on data operation, electronic equipment and a storage medium.
Background
The current circuit board manufacturing industry is competitive, labor cost is not cheap any more, material cost is difficult to reduce, profit margin becomes more transparent, and enterprises need to explore new production modes to highlight the emphasis. Because the preference of consumers is ever changing, the life cycle of electronic products is shorter and shorter, customized products are increasingly diverse, the production cycle and production time of the products are shorter and shorter, manufacturers need to face the problems of various orders, production modes, yield control, stock preparation stock pressure and the like at any time, a multi-class and rapid production mode becomes one of the manufacturing trends, and how to provide an efficient, convenient, low-material-stock and highly-automatic material distribution mode needs to be considered by technical personnel in the field.
Disclosure of Invention
In view of the above, it is necessary to provide a material supply control method based on data operation, an electronic device and a storage medium, which can improve the rationality of material distribution, make the material supply and the production process highly agree, and avoid excessive or insufficient stacked materials in the warehouse.
A material supply management and control method based on data operation is used for supplying materials to at least one intelligent Internet of things workshop, and is characterized by comprising the following steps:
receiving at least one order information, and calculating the minimum unit consumption of the required materials according to the order information;
receiving production information in the intelligent Internet of things workshop, wherein the production information at least comprises the stored material amount of the intelligent Internet of things workshop and the first material consumption of an intelligent machine in the intelligent Internet of things workshop in unit time;
calculating the residual material storage amount of the intelligent Internet of things workshop according to the material storage amount;
determining a material load value of the intelligent Internet of things workshop at least according to the remaining storable amount of the materials and the first material consumption;
calculating the single material supply according to the minimum unit material consumption and the material load value, wherein the single material supply is larger than the minimum unit material consumption and smaller than the material load value;
determining the pre-production time of the intelligent Internet of things workshop, and calculating the consumption of a second material of the intelligent machine within the pre-production time;
comparing the material stored quantity to the minimum unit usage, the second material consumption, and the material load value; and
and when the stored amount of the materials is lower than the sum of the minimum unit usage and the consumption amount of the second materials, supplying the materials to the intelligent Internet of things workshop according to the single material supply amount, and when the stored amount of the materials is higher than the material load value, stopping supplying the materials to the intelligent Internet of things workshop.
In one embodiment, calculating the minimum unit usage of the material according to the order information includes the following steps:
reading at least one product type contained in the order information;
and calculating the minimum unit material consumption corresponding to the production of the corresponding product according to each product type, wherein the minimum unit material consumption is determined at least according to the sum of the consumption of the raw materials required by the product and the consumption of the production consumables.
In an embodiment, the material load value is a minimum value of the remaining storable amount of the material and the first material consumption amount.
In an embodiment, the production information further includes a human load value, the human load value includes the number of production staff, the on-duty condition, the work saturation of a single production staff, and the average work load, and the determining the material load value of the intelligent internet of things plant according to at least the remaining stock quantity of the material and the first material consumption amount includes:
calculating a remaining manpower value according to the number of the production personnel, the on-duty condition and the working saturation of the single production personnel;
calculating a third material consumption according to the average workload and the residual manpower value, wherein the third material consumption is the maximum material consumption of the residual manpower value in unit time;
and calculating the material load value according to the remaining material storage amount, the first material consumption and the third material consumption, wherein the material load value is the minimum value of the remaining material storage amount, the first material consumption and the third material consumption.
In one embodiment, an automatic transporter is used for supplying the materials to the intelligent Internet of things workshop;
the pre-production time is calculated according to the pre-preparation time of the intelligent machine, the pre-preparation time of the material and the transportation time of the automatic transportation device for transporting the material to the intelligent Internet of things workshop, wherein the pre-preparation time of the intelligent machine comprises the preparation time required by the intelligent machine from finishing the current processing stage to entering a new processing stage, and the pre-preparation time of the material comprises the preprocessing time before the material is processed;
the pre-production time is greater than the minimum value of the sum of the transportation time and the pre-preparation time of the intelligent machine and the sum of the transportation time and the pre-preparation time of the material, and the pre-production time is less than the sum of the transportation time, the pre-preparation time of the intelligent machine and the pre-preparation time of the material.
In one embodiment, the method further comprises:
receiving display information, wherein the display information at least comprises the stored material quantity, the residual stored material quantity and the single material supply quantity;
and displaying the display information.
In one embodiment, the method comprises:
the signal interaction module is used for receiving at least one order information and production information in the intelligent Internet of things workshop;
a decision module to:
calculating the minimum unit consumption of the required materials according to the order information, wherein the production information at least comprises the stored quantity of the materials in the intelligent Internet of things workshop and the first material consumption of an intelligent machine arranged in the intelligent Internet of things workshop in unit time;
calculating the residual material storage amount of the intelligent Internet of things workshop according to the material storage amount;
determining a material load value of the intelligent Internet of things workshop at least according to the remaining storable amount of the materials and the first material consumption;
calculating the single material supply according to the minimum unit material consumption and the material load value, wherein the single material supply is larger than the minimum unit material consumption and smaller than the material load value;
determining the preposed production time of the intelligent Internet of things workshop, calculating the second material consumption of the intelligent machine within the preposed production time, and comparing the stored material quantity with the minimum unit usage, the second material consumption and the material load value; and
and the execution module is used for supplying the materials to the intelligent Internet of things workshop according to the single material supply amount when the stored amount of the materials is lower than the sum of the minimum unit usage amount and the consumption amount of the second materials, and stopping supplying the materials to the intelligent Internet of things workshop when the stored amount of the materials is higher than the material load value.
In one embodiment, the system further comprises a display module for receiving a display message, wherein the display message at least comprises the stored material amount, the remaining stored material amount and the single material supply amount, and the display module displays the display message.
The invention provides electronic equipment which comprises a processor and a memory, wherein the processor is used for realizing the material supply management and control method based on data operation when executing a computer program stored in the memory.
The invention provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the data operation-based material supply management and control method.
The data operation-based material supply control method, the electronic equipment and the storage medium can improve the rationality of material distribution, make the material supply and the production process highly fit, and avoid excessive or insufficient material stacked in a warehouse.
Drawings
Fig. 1 is a flowchart of a material supply control method based on data operation according to an embodiment of the present invention.
Fig. 2 is an architecture diagram of a material supply management and control system based on data operation according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an electronic device according to an embodiment of the invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Description of the main elements
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The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a detailed description of the present invention will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
In the following description, numerous specific details are set forth to provide a thorough understanding of the present invention, and the described embodiments are merely a subset of the embodiments of the present invention, rather than a complete embodiment. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
The terms "first," "second," and "third," etc. in the description and claims of the invention and the above-described drawings are used for distinguishing between different elements and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprises" and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The screen locking information display method is applied to one or more electronic devices. The material supply control method based on data operation can also be applied to a hardware environment formed by electronic equipment and a server connected with the electronic equipment through a network. Networks include, but are not limited to: a wide area network, a metropolitan area network, or a local area network.
First embodiment
As shown in fig. 1, for the flowchart of the method for managing and controlling material supply based on data operation according to the first embodiment of the present invention, the execution order in the flowchart may be changed and some steps may be omitted according to different requirements. The material supply control method based on data operation is used for supplying materials to at least one intelligent Internet of things workshop, and comprises the following steps:
in an embodiment, the material supply control method based on data operation is applied to a server.
Step S1: and receiving at least one order information and receiving the production information fed back by the intelligent Internet of things workshop.
In one embodiment, the server includes a database for storing and reading information, the order information can be imported from the database by the server from updated order information, and the order information at least includes the type of the product and quantity of each type.
In an embodiment, the production information at least includes an amount of stored materials in the intelligent internet of things workshop and a first material consumption amount of an intelligent machine which is arranged in the intelligent internet of things workshop and is in communication with the server, and the first material consumption amount includes an amount of materials consumed by the intelligent machine in a unit time.
In one embodiment, the production information further includes a human load value, the human load value includes at least the number of production personnel, the on-duty condition, the work saturation of a single production personnel, and the average workload, and the human load value can be retrieved from a database included in the server.
In an embodiment, the production information further includes a pre-production time, and the pre-production time includes a pre-preparation time of the smart machine, a pre-preparation time of the material, and an operation being performed by the smart machine. The preset preparation time of the intelligent machine comprises preparation time required for the intelligent machine to finish the current processing stage and enter a new processing stage, and the preset preparation time of the material comprises pretreatment time before the material is processed. The operation being executed by the intelligent machine can comprise different working states such as working, material shortage and work waiting, fault pause and maintenance, the intelligent machine can detect the working state of the intelligent machine and send the working state to the server, and when the intelligent machine is working, the intelligent machine can further feed back the type of the operation being executed by the intelligent machine, the consumption condition of raw materials, the condition that the raw materials are to be supplemented, and the stock of each raw material and consumable material to the server.
Step S2: and calculating the minimum unit consumption of the required materials according to the order information. And calculating the residual material storage amount of the intelligent Internet of things workshop according to the material storage amount. Calculating the material load value and the second material consumption of the intelligent Internet of things workshop according to the production information: determining a material load value of the intelligent Internet of things workshop at least according to the remaining and storable amount of the materials and the first material consumption, calculating a single material supply amount according to the minimum unit usage of the materials and the material load value, wherein the single material supply amount is larger than the minimum unit usage and smaller than the material load value, determining the preposed production time of the intelligent Internet of things workshop, and calculating the second material consumption of the intelligent machine within the preposed production time.
In an embodiment, the server calculates the usage amounts of the raw materials, the production consumables, the non-production consumables and the maintenance consumables required for producing a single product according to the product type, the minimum unit usage amount may be a sum of the usage amounts of the raw materials and the production consumables, and the minimum unit usage amount may further include at least one of the usage amounts of the non-production consumables and the maintenance consumables. Specifically, the database of the server stores the material consumption details of the individual products of the various producible products, for example, raw materials (copper powder, plates, etc.) required for producing a single certain product can be obtained according to the past production situation or the analysis of the product structure, production consumables (etching solution, adhesives, consumables required in the production process of cleaning solution, etc.), non-production consumables (gloves, etc.), maintenance consumables (lubricating oil, machine tool bit, etc.), and the minimum unit consumption for producing a single certain product is obtained by recording the quantity of the above materials, and the minimum unit consumption can avoid the material waste and keep the production continuity.
In an embodiment, the server receives production information in the intelligent internet of things workshop, the production information at least includes a material stored amount of the intelligent internet of things workshop and a first material consumption amount of an intelligent machine arranged in the intelligent internet of things workshop in unit time, the remaining material stored amount of the intelligent internet of things workshop is calculated according to the material stored amount, and a material load value of the intelligent internet of things workshop is determined according to at least the remaining material stored amount and the first material consumption amount. Specifically, the intelligent internet of things workshop further comprises a capacity monitor, and the intelligent machine and the capacity monitor are respectively communicated with the server. The capacity monitor monitors the stored material amount and transmits the stored material amount to the server, the stored material amount refers to the amount of the stored material in the intelligent Internet of things workshop, the server calculates the remaining stored material amount according to the stored material amount, and the remaining stored material amount refers to the amount which can be stored in the intelligent Internet of things workshop.
In an embodiment, the first material consumption includes an amount of material consumed by the intelligent machine in a unit time, the intelligent machine transmits its operating state to the server, and the server calculates the amount of material consumed by the intelligent machine in the unit time according to the operating state of the intelligent machine and past production data, which is the first material consumption. Determining a material load value of the intelligent Internet of things workshop at least according to the remaining and storable amount of the materials and the first material consumption amount, wherein the material load value is the minimum value of the remaining and storable amount of the materials and the first material consumption amount.
In an embodiment, the production information further includes a human load value, the database of the server at least includes the number of the producers, the on-duty condition, the work saturation of a single producer, and an average work load, the server calculates a remaining human force value according to the number of the producers, the on-duty condition, and the work saturation of the single producer, calculates a third material consumption according to the average work load and the remaining human force value, the third material consumption is a maximum material consumption of the remaining human force value in a unit time, calculates a material load value according to the remaining material storable amount of the material, the first material consumption, and the third material consumption, and the storable material load value is a minimum value of the remaining material storable amount of the material, the first material consumption, and the third material consumption.
In one embodiment, an automated transporter is used to transport material to the intelligent internet of things plant. The database of the server comprises a preposed preparation flow and a preposed preparation time of each material, the server calculates the preposed preparation time of the material with single material supply quantity, and the server can carry out parallel arrangement on repeated operation in the material preposed preparation process according to past production data in the calculation process, even if a plurality of materials are subjected to preposed treatment simultaneously or at least part of the preposed treatment of a plurality of materials are overlapped in time, and the shortest preposed preparation time is obtained. The method comprises the steps that a pre-production time is calculated according to the pre-preparation time of an intelligent machine, the pre-preparation time of materials and the transportation time of an automatic transportation device for transporting the materials to an intelligent inter-things workshop, the pre-preparation time of the intelligent machine, the pre-preparation time of the materials and the transportation time of the automatic transportation device for transporting the materials to the intelligent inter-things workshop can be arranged in parallel to obtain the shortest pre-production time, and the pre-production time refers to the necessary waiting time for the materials supplied to the intelligent inter-things workshop to reach the intelligent inter-things workshop and can be used by the intelligent machine for production and processing. The pre-production time is greater than the minimum value of the sum of the transportation time and the pre-preparation time of the intelligent machine and the sum of the transportation time and the pre-preparation time of the material, the pre-production time is less than the sum of the transportation time, the pre-preparation time of the intelligent machine and the pre-preparation time of the material, and the amount of the material consumed by the intelligent machine in the pre-production time is the second material consumption amount.
The stored quantity of material is compared to the minimum unit usage, the second material consumption, and the material load value, and in one embodiment, the stored quantity of material is compared to the minimum unit usage, the second material consumption, and the material load value by the server.
And step S3: and when the material storage amount of the intelligent Internet of things workshop is lower than the sum of the minimum unit usage amount and the consumption amount of the second material, supplying the material to the intelligent Internet of things workshop according to the single material supply amount, and when the material storage amount of the intelligent Internet of things workshop is higher than the material load value, stopping supplying the material to the intelligent Internet of things workshop.
Each material comprises an identification code which can be a two-dimensional code, a bar code and the like, can convert information into numbers and can be read. The identification code contains basic information of the material, the basic information can comprise a material number, a production date, an effective date, a storage mode, a purpose and the like of the material, and the automatic conveying device scans the identification code to obtain the basic information of the material and transmits the basic information to the server. The server still communicates with an intelligence thing allies oneself with the warehouse, the feeding stage, the material is placed in intelligence thing allies oneself with the warehouse, automatic transportation device scans the identification code of material and gives the server with the information transfer who reads, automatic transportation device sends one after placing the storage warehouse with the material and places completion information and give the server, the server sends a feed information to intelligence thing allies oneself with the warehouse, this feed information includes quantity, the kind etc. of material, simultaneously, intelligence thing allies oneself with the warehouse and gives the server with available space information and used space information transfer. And in the discharging stage, the server sends a single material supply amount to the automatic conveying device, the automatic conveying device automatically goes to the specified position of the intelligent Internet of things warehouse to scan the material identification code and load the material, the automatic conveying device sends material distribution information to the server when finishing loading and leaving the intelligent material warehouse, and the server receives the material distribution information and then communicates with the intelligent Internet of things warehouse to realize information return management, so that the matching of data such as the material amount, the available space and the used space is finished. The intelligent transportation device conveys materials to an intelligent Internet of things workshop and places the materials in a specified area, the materials are placed and then sent to a server to send material delivery information, the server receives the material delivery information and then communicates with the intelligent Internet of things workshop to realize information return, so that matching of data such as material quantity, available space and used space is completed, meanwhile, the server calculates according to material types in single material supply quantity and working conditions of the intelligent machine, and sends instructions of a further processing sequence to the intelligent machine, or the server calculates a material supply sequence according to the operation being executed by the intelligent machine, so that the processing process of the intelligent machine is continuously executed.
When the stored quantity of the materials in the intelligent Internet of things workshop is lower than the sum of the minimum unit consumption and the consumption of the second materials, the server judges that the storage capacity of the intelligent Internet of things warehouse is low, the continuous reduction of the stored materials possibly causes the intelligent machine to be in a state of material waiting suspension, and the server controls the automatic conveying device to convey the materials with single material supply quantity to the intelligent Internet of things workshop; when the material stocked amount in the intelligent internet of things workshop is higher than the material load value, the server judges that the inventory capacity in the intelligent internet of things warehouse is higher, the stocked material continues to rise and may cause the intelligent internet of things warehouse to explode and influence the production progress, and the server controls the automatic conveying device to stop conveying the material to the intelligent internet of things workshop.
And step S4: the server is also in communication with a display device, and the display device receives display information from the server and displays the content contained in the display information.
The server is also communicated with a display device, the display can be placed in the intelligent internet of things workshop or the intelligent internet of things warehouse, the display receives display information from the server, the display information at least comprises the stored material quantity, the residual stored material quantity and the single material supply quantity, the discharge information and the feed information of the intelligent internet of things warehouse and the intelligent internet of things workshop, the basic information of raw materials, the working condition of a machine table, the working condition of production personnel, the sudden failure condition, operation instructions and the like, the display device displays the content contained in the display information, the production personnel can directly know the operation condition of each unit from the display device, and manual intervention can be timely carried out when necessary to ensure that the processing process is smoothly carried out.
Second embodiment
Fig. 2 is a structural diagram of a material supply management and control system 10 based on data operation according to an embodiment of the present invention.
The material supply management and control system 10 based on data operation includes a signal interaction module 101, a decision module 102, an execution module 103, and a display module 104.
The signal interaction module 101 may be located in the server, and the signal interaction module 101 receives at least one order information and production information fed back by an intelligent internet of things workshop.
In one embodiment, the server includes a database for storing and reading information, the order information can be imported from the order information updated by the server from the database, and the order information at least includes the type of the product and quantity of each type.
In an embodiment, the production information at least includes an amount of stored materials in the intelligent internet of things workshop and a first material consumption amount of an intelligent machine which is arranged in the intelligent internet of things workshop and is in communication with the server, and the first material consumption amount includes an amount of materials consumed by the intelligent machine in a unit time.
In one embodiment, the production information further includes a human load value, the human load value includes at least the number of production personnel, the on-duty condition, the work saturation of a single production personnel, and the average workload, and the human load value can be retrieved from a database included in the server.
In an embodiment, the production information further includes a pre-production time, and the pre-production time includes a pre-preparation time of the smart machine, a pre-preparation time of the material, and an operation being performed by the smart machine. The preset preparation time of the intelligent machine comprises preparation time required by the intelligent machine to finish the current processing stage and enter a new processing stage, and the preset preparation time of the material comprises pretreatment time before the material is processed. The operation being executed by the intelligent machine can comprise different working states such as working, material shortage and work waiting, fault pause and maintenance, the intelligent machine can detect the working state of the intelligent machine and send the working state to the server, and when the intelligent machine is working, the intelligent machine can further feed back the type of the operation being executed by the intelligent machine, the consumption condition of raw materials, the condition that the raw materials are to be supplemented, and the stock of each raw material and consumable material to the server.
The decision module 102 may be located in a server, and the decision module 102 calculates a minimum unit usage of required materials according to the order information, where the production information at least includes a stored quantity of materials in the intelligent internet of things workshop and a first material consumption of an intelligent machine set in the intelligent internet of things workshop per unit time, calculates a remaining stored quantity of materials in the intelligent internet of things workshop according to the stored quantity of materials, determines a material load value of the intelligent internet of things workshop according to at least the remaining stored quantity of materials and the first material consumption, calculates a single material supply quantity according to the minimum unit usage of materials and the material load value, where the single material supply quantity is greater than the minimum unit usage and smaller than the material load value, determines a pre-production time of the intelligent internet of things workshop, calculates a second material consumption of the intelligent machine within the pre-production time, and compares the stored quantity of materials with the minimum unit usage, the second material consumption and the material load value.
In an embodiment, the server calculates the usage amounts of the raw materials, the production consumables, the non-production consumables and the maintenance consumables required for producing a single product according to the product type, the minimum unit usage amount may be a sum of the usage amounts of the raw materials and the production consumables, and the minimum unit usage amount may further include at least one of the usage amounts of the non-production consumables and the maintenance consumables. Specifically, the material consumption of the individual product of all kinds of products that the storage can be produced is detailed in the database of server, for example, can be according to the past production situation or to the required raw and other materials of production certain product (copper powder, panel etc.) is reachd to the analysis of product structure, the production consumptive material (etching liquid medicine, the adhesion agent, the consumptive material that needs to use in the production processes such as washing liquid medicine), non-production consumptive material (gloves etc.), maintenance consumptive material (lubricating oil, board tool bit etc.), and record the minimum unit quantity that reachs a single certain product of production to the quantity of above-mentioned material, this minimum unit quantity can avoid the material extravagant and keep the continuity of production.
In an embodiment, the server receives production information in the intelligent internet of things workshop, the production information at least includes an already-stored quantity of materials in the intelligent internet of things workshop and a first material consumption quantity of an intelligent machine arranged in the intelligent internet of things workshop per unit time, the remaining storage quantity of the materials in the intelligent internet of things workshop is calculated according to the already-stored quantity of the materials, and the material load value of the intelligent internet of things workshop is determined according to at least the remaining storage quantity of the materials and the first material consumption quantity. Specifically, the intelligent internet of things workshop further comprises a capacity monitor, and the intelligent machine and the capacity monitor are respectively communicated with the server. The capacity monitor monitors the stored material amount and transmits the stored material amount to the server, the stored material amount refers to the amount of the stored material in the intelligent Internet of things workshop, the server calculates the remaining stored material amount according to the stored material amount, and the remaining stored material amount refers to the amount which can be stored in the intelligent Internet of things workshop.
In an embodiment, the first material consumption includes an amount of material consumed by the intelligent machine in a unit time, the intelligent machine transmits its operating state to the server, and the server calculates the amount of material consumed by the intelligent machine in the unit time according to the operating state of the intelligent machine and past production data, which is the first material consumption. Determining a material load value of the intelligent Internet of things workshop at least according to the remaining and storable amount of the materials and the first material consumption amount, wherein the material load value is the minimum value of the remaining and storable amount of the materials and the first material consumption amount.
In an embodiment, the production information further includes a human load value, the database of the server at least includes the number of the producers, the on-duty condition, the work saturation of a single producer, and an average work load, the server calculates a remaining human force value according to the number of the producers, the on-duty condition, and the work saturation of the single producer, calculates a third material consumption according to the average work load and the remaining human force value, the third material consumption is a maximum material consumption of the remaining human force value in a unit time, calculates a material load value according to the remaining material storable amount of the material, the first material consumption, and the third material consumption, and the storable material load value is a minimum value of the remaining material storable amount of the material, the first material consumption, and the third material consumption.
In one embodiment, an automated transporter is used to transport material to the intelligent internet of things plant. The database of the server contains the preposition preparation flow and the preposition preparation time of each material, the server calculates the preposition preparation time of the material with single material supply quantity, and the server can carry out parallel arrangement on repeated operation in the preposition preparation process of the material according to past production data in the calculation process, even if multiple materials are subjected to preposition treatment simultaneously or at least part of the preposition treatment of the multiple materials is overlapped, and the preposition preparation time with the shortest time is obtained. The method comprises the steps that a preposed production time is calculated according to the preposed preparation time of an intelligent machine, the preposed preparation time of materials and the transportation time of an automatic transportation device for transporting the materials to an intelligent Internet of things workshop, the preposed preparation time of the intelligent machine, the preposed preparation time of the materials and the transportation time of the automatic transportation device for transporting the materials to the intelligent Internet of things workshop can be arranged in parallel to obtain the shortest preposed production time, and the preposed production time refers to the necessary waiting time for the materials supplied to the intelligent Internet of things workshop to arrive at the intelligent Internet of things workshop and can be used by the intelligent machine for production and processing. The pre-production time is greater than the minimum value of the sum of the transportation time and the pre-preparation time of the intelligent machine and the sum of the transportation time and the pre-preparation time of the material, the pre-production time is less than the sum of the transportation time, the pre-preparation time of the intelligent machine and the pre-preparation time of the material, and the amount of the material consumed by the intelligent machine in the pre-production time is the second material consumption.
The stored quantity of material is compared to the minimum unit usage, the second material consumption, and the material load value, and in one embodiment, the stored quantity of material is compared to the minimum unit usage, the second material consumption, and the material load value by the server.
In one embodiment, the execution module 103 may execute operations by cooperating with at least one intelligent internet of things workshop, at least one intelligent internet of things warehouse, and an automatic transportation device. When the material storage amount of the intelligent internet of things workshop is lower than the sum of the minimum unit usage amount and the consumption amount of the second material, the execution module 103 supplies the material to the intelligent internet of things workshop according to the single material supply amount, and when the material storage amount of the intelligent internet of things workshop is higher than the material load value, the execution module 103 stops supplying the material to the intelligent internet of things workshop.
Each material comprises an identification code which can be a two-dimensional code, a bar code and the like, can convert information into numbers and can be read. The identification code contains basic information of the material, the basic information can comprise a material number, a production date, an effective date, a storage mode, a purpose and the like of the material, and the automatic conveying device scans the identification code to obtain the basic information of the material and transmits the basic information to the server. The server still communicates with an intelligence thing allies oneself with the warehouse, the feeding stage, the material is placed in intelligence thing allies oneself with the warehouse, automatic transportation device scans the identification code of material and gives the server with the information transfer who reads, automatic transportation device sends one after placing the storage warehouse with the material and places completion information and give the server, the server sends a feed information to intelligence thing allies oneself with the warehouse, this feed information includes quantity, the kind etc. of material, simultaneously, intelligence thing allies oneself with the warehouse and gives the server with available space information and used space information transfer. And in the discharging stage, the server sends a single-time material supply amount to the automatic conveying device, the automatic conveying device automatically goes to the appointed position of the intelligent internet of things warehouse to scan the material identification code and load the material, the automatic conveying device sends material distribution information to the server when finishing loading and leaving the intelligent material warehouse, and the server receives the material distribution information and then communicates with the intelligent internet of things warehouse to realize information return management, so that the matching of data such as the material amount, the available space and the used space is completed. The intelligent transportation device conveys materials to an intelligent Internet of things workshop and places the materials in a specified area, the materials are placed and then sent to a server to send material delivery information, the server receives the material delivery information and then communicates with the intelligent Internet of things workshop to realize information return, so that matching of data such as material quantity, available space and used space is completed, meanwhile, the server calculates according to material types in single material supply quantity and working conditions of the intelligent machine, and sends instructions of a further processing sequence to the intelligent machine, or the server calculates a material supply sequence according to the operation being executed by the intelligent machine, so that the processing process of the intelligent machine is continuously executed.
When the material storage amount of the intelligent internet of things workshop is lower than the sum of the minimum unit usage amount and the second material consumption amount, the server judges that the storage capacity of the intelligent internet of things warehouse is low, the storage material is continuously reduced, the intelligent machine possibly stays in a state of material waiting suspension, and the server controls the automatic conveying device to convey the material with the single material supply amount to the intelligent internet of things workshop; when the material stocked amount in the intelligent internet of things workshop is higher than the material load value, the server judges that the inventory capacity in the intelligent internet of things warehouse is higher, the stocked material continues to rise and may cause the intelligent internet of things warehouse to explode and influence the production progress, and the server controls the automatic conveying device to stop conveying the material to the intelligent internet of things workshop.
The information interaction module 101 and the decision module 102 are in communication with a display module 104, the decision module 102 issues display information to the display module 104 through the information interaction module 101, the display information at least comprises the stored material quantity, the remaining stored material quantity and the single material supply quantity, the discharge information and the feed information of the intelligent internet of things warehouse and the intelligent internet of things workshop, the basic information of the raw material, the working condition of the machine, the working condition of production personnel, the sudden failure condition, the operation instruction and the like, the display device displays the content contained in the display information, the production personnel can directly know the running condition of each unit from the display device, and the manual intervention can be timely performed when necessary to ensure that the processing process is smoothly performed.
Third embodiment
Fig. 3 is a schematic view of an electronic device 3 according to an embodiment of the present invention.
The electronic device 3 includes: a memory 31, at least one processor 32, a computer program 33, such as a data operation based material supply management program, stored in said memory 31 and executable on said at least one processor 32. When the computer program 33 is executed by the at least one processor 32, the steps in the above-mentioned embodiment of the method for managing and controlling material supply based on data operation, such as the steps S1 to S4 shown in fig. 1, are implemented.
Illustratively, the computer program 33 may be partitioned into one or more modules/units that are stored in the memory 31 and executed by the at least one processor 32 to carry out the invention. The one or more modules/units may be a series of pieces of computer program information capable of performing specific functions, which are used to describe the execution process of the computer program 33 in the electronic device 3.
The electronic device 3 may be an electronic device with an application installed, such as a mobile phone, a tablet computer, a Personal Digital Assistant (PDA), and the like. Those skilled in the art will appreciate that the schematic diagram 3 is an example of the electronic device 3, does not constitute a limitation to the electronic device 3, and may include more or less components than those shown, or combine some components, or different components, for example, the electronic device 3 may further include an input-output device, a network access device, a bus, and the like.
The at least one Processor 32 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The processor 32 may be a microprocessor or the processor 32 may be any conventional processor or the like, and the processor 32 is a control center of the electronic device 3 and connects various parts of the whole electronic device 3 by various interfaces and lines.
The memory 31 may be used to store the computer program 33 and/or the module/unit, and the processor 32 may implement various functions of the electronic device 3 by running or executing the computer program and/or the module/unit stored in the memory 31 and calling data stored in the memory 31. The memory 31 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the electronic apparatus 3, and the like. In addition, the memory 31 may include a high speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The integrated modules/units of the electronic device 3 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the processes in the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
In the several embodiments provided in the present invention, it should be understood that the electronic device and the method described may be implemented in other ways. For example, the above-described embodiments of the electronic device are merely illustrative, and for example, the division of the units is only one logical functional division, and there may be another division in actual implementation.
In addition, functional units in the embodiments of the present invention may be integrated into the same processing unit, or each unit may exist alone physically, or two or more units are integrated into the same unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or that the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit scope of the technical solutions of the present invention.
Claims (9)
1. A material supply management and control method based on data operation is used for supplying materials to at least one intelligent inter-things workshop, and is characterized by comprising the following steps:
receiving at least one piece of order information, and calculating the minimum unit consumption of the required materials according to the order information, wherein at least one product type contained in the order information is read, the minimum unit consumption of the materials corresponding to the production of the corresponding product is calculated according to each product type, and the minimum unit consumption of the materials is determined at least according to the sum of the consumption of raw materials required by the product and the consumption of production consumables;
receiving production information in the intelligent Internet of things workshop, wherein the production information at least comprises the stored material amount of the intelligent Internet of things workshop and the first material consumption of an intelligent machine in the intelligent Internet of things workshop in unit time;
calculating the residual material storage amount of the intelligent Internet of things workshop according to the material storage amount;
determining a material load value of the intelligent Internet of things workshop at least according to the remaining storable amount of the materials and the first material consumption;
calculating the single material supply according to the minimum unit material consumption and the material load value, wherein the single material supply is larger than the minimum unit material consumption and smaller than the material load value;
determining the preposed production time of the intelligent Internet of things workshop, and calculating the consumption of a second material of the intelligent machine within the preposed production time;
comparing the amount of material already present to the minimum unit usage, the amount of second material consumption, and the material load value; and
and when the stored amount of the materials is lower than the sum of the minimum unit usage and the consumption amount of the second materials, supplying the materials to the intelligent Internet of things workshop according to the single material supply amount, and when the stored amount of the materials is higher than the material load value, stopping supplying the materials to the intelligent Internet of things workshop.
2. The data operation-based material supply control method according to claim 1, wherein the material load value is a minimum value of the remaining storable amount of the material and the first material consumption amount.
3. The material supply management and control method based on data operation as claimed in claim 1, wherein the production information further includes a human load value, the human load value includes the number of production staff, the on-duty situation, the work saturation of a single production staff, and the average work load, and the determining the material load value of the intelligent internet of things workshop according to at least the remaining stock quantity of the material and the first material consumption amount includes:
calculating a remaining human force value according to the number of the production personnel, the on-duty condition and the working saturation of a single production personnel;
calculating a third material consumption according to the average workload and the residual manpower value, wherein the third material consumption is the maximum material consumption of the residual manpower value in unit time;
and calculating the material load value according to the remaining material storage amount, the first material consumption and the third material consumption, wherein the material load value is the minimum value of the remaining material storage amount, the first material consumption and the third material consumption.
4. The method for managing and controlling material supply based on data operation as claimed in claim 1, wherein an automatic transporter is used to supply the material to the intelligent internet of things workshop;
the pre-production time is calculated according to the pre-preparation time of the intelligent machine, the pre-preparation time of the material and the transportation time of the automatic transportation device for transporting the material to the intelligent Internet of things workshop, wherein the pre-preparation time of the intelligent machine comprises the preparation time required by the intelligent machine from finishing the current processing stage to entering a new processing stage, and the pre-preparation time of the material comprises the preprocessing time before the material is processed;
the pre-production time is greater than the minimum value of the sum of the transportation time and the pre-preparation time of the intelligent machine and the sum of the transportation time and the pre-preparation time of the material, and the pre-production time is less than the sum of the transportation time, the pre-preparation time of the intelligent machine and the pre-preparation time of the material.
5. The data operation-based material supply control method according to claim 4, further comprising:
receiving display information, wherein the display information at least comprises the stored material quantity, the residual stored material quantity and the single material supply quantity;
and displaying the display information.
6. A material supply management and control system based on data operation is used for supplying materials to at least one intelligent inter-things workshop, and is characterized in that the material supply management and control system comprises:
the signal interaction module is used for receiving at least one order information and production information in the intelligent Internet of things workshop;
a decision module to:
calculating the minimum unit consumption of the required materials according to the order information, wherein the minimum unit consumption of the materials at least comprises the sum of the consumption of raw materials required for producing products and the consumption of consumable materials, and the production information at least comprises the stored quantity of the materials in the intelligent Internet of things workshop and the first material consumption of an intelligent machine arranged in the intelligent Internet of things workshop in unit time;
calculating the residual material storage amount of the intelligent Internet of things workshop according to the material storage amount;
determining a material load value of the intelligent Internet of things workshop at least according to the remaining storable amount of the materials and the first material consumption;
calculating the single material supply according to the minimum unit material consumption and the material load value, wherein the single material supply is larger than the minimum unit material consumption and smaller than the material load value;
determining the preposed production time of the intelligent Internet of things workshop, calculating the second material consumption of the intelligent machine within the preposed production time, and comparing the stored material quantity with the minimum unit usage, the second material consumption and the material load value; and
and the execution module is used for supplying the materials to the intelligent Internet of things workshop according to the single material supply amount when the stored amount of the materials is lower than the sum of the minimum unit usage amount and the consumption amount of the second materials, and stopping supplying the materials to the intelligent Internet of things workshop when the stored amount of the materials is higher than the material load value.
7. The system as claimed in claim 6, further comprising a display module for receiving display information, wherein the display information at least includes the stored quantity of the material, the remaining stored quantity of the material, and the single material supply quantity, and the display module displays the display information.
8. An electronic device, comprising a processor and a memory, wherein the processor is configured to implement the data operation-based material supply management and control method according to any one of claims 1 to 5 and the data operation-based material supply management and control system according to any one of claims 6 to 7 when executing a computer program stored in the memory.
9. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the data operation-based material supply management and control method according to any one of claims 1 to 5 and the data operation-based material supply management and control system according to any one of claims 6 to 7.
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