A DCS control system based on mine aggregate production line and aggregate sales

Abstract

The present application provides a DCS control system based on a mine aggregate production line and aggregate sales, which belongs to the technical field of mine aggregate processing control; wherein, a DCS control system based on a mine aggregate production line and aggregate sales includes an order demand acquisition and determination module, a unit attention calculation module, an order attention calculation module and an order sorting module; through the coordinated use of the above modules, the processing sequence of the orders is obtained, which ensures the on-time delivery of large-volume orders and improves the delivery quality and processing safety of large-volume orders.

Description

Technical Field

[0001] The present application relates to the technical field of mine aggregate processing control, and in particular to a DCS control system based on mine aggregate production line and aggregate sales. Background Art

[0002] Aggregate production line is an industrial production line for producing sand and gravel aggregates for construction. Aggregates produced by aggregate production line are widely used in the construction of infrastructure such as roads, bridges, and water conservancy. DCS control system is a distributed control system designed to solve the problems of extensive layout, serious pollution, low production capacity, unstable output, unqualified product quality, inconvenient equipment maintenance, and high operating costs in traditional mine aggregate production lines. The system centrally manages the production, sales, and operation management of mine aggregates, and realizes comprehensive control of all aspects of mine production through the central control system. Generally speaking, the system will receive orders from customers, and control the front-end equipment production line to manufacture aggregates and other material products according to the orders, and then transport them to the customer's designated location. When manufacturing the material products specified in the order, it is generally necessary to complete one order before processing the next order, but when there are large orders, how to determine the processing order of the orders becomes very important. Summary of the invention

[0003] The present application provides a DCS control system based on a mine aggregate production line and aggregate sales. The system includes an order demand acquisition and determination module, a unit attention calculation module, an order attention calculation module, and an order sorting module;

[0004] The order demand acquisition and determination module is used to acquire the order content of the order received by the system and determine the product requirements mentioned in the order according to the order content, and output order demand data; the order demand data includes order delivery time, material type requirements, material total quantity requirements and material transportation requirements;

[0005] The unit attention calculation module is further configured as follows:

[0006] According to the order demand data and the initial production mode of each production line unit, each production line unit is divided into a demand-affected unit and a non-demand-affected unit; the production line unit represents the production unit of each functional module of the aggregate production line, including a feeding unit, a processing unit, a screening unit and a transportation unit; the preset order demand impact comparison table includes order demand data, each production line unit and the corresponding relationship between the order demand data and the production line unit; the demand-affected unit is a production line unit that adjusts the initial production mode due to the order demand; the non-demand-affected unit is a production line unit that is not affected by the order demand and does not need to adjust the initial production mode;

[0007] Determining the impact attention adjustment data of the demand impact unit according to the order demand data and the preset order demand impact comparison table;

[0008] Calculate the demand unit attention data of the demand influencing unit according to the basic attention data of the demand influencing unit and the attention influencing adjustment data;

[0009] Calculate the non-demand unit attention data of the non-demand impact unit according to the demand unit attention data and the initial production line unit total attention data;

[0010] The order attention calculation module is used to calculate order attention data according to the demand unit attention data and the non-demand unit attention data;

[0011] The order sorting module is used to determine the order processing order according to the order attention data.

[0012] Furthermore, the unit attention calculation module is further configured to determine the attention adjustment data of the demand-influencing unit according to the order demand data and the preset order demand impact comparison table, including:

[0013] Determining the production operation steps included in the initial production mode corresponding to the demand influencing unit according to the initial production mode of each production line unit;

[0014] Determine additional operation steps according to the order demand data and the preset order demand impact comparison table;

[0015] Obtain a comparison table of the number of steps of the added operation steps and the impact of the attention of the preset steps;

[0016] Determine the impact attention adjustment data of the demand impact unit according to the number of steps and the preset step attention impact comparison table;

[0017] The preset step attention impact comparison table includes the corresponding relationship between the number of steps and the attention impact adjustment data.

[0018] Furthermore, the unit attention calculation module is further configured such that the demand unit attention data is the sum of the basic attention data of the demand influencing unit and the influencing attention adjustment data.

[0019] Furthermore, the unit attention calculation module is further configured to calculate the non-demand unit attention data of the non-demand impact unit according to the demand unit attention data and the initial production line unit total attention data, including:

[0020] Calculate the demand unit total attention data according to the demand unit attention data of each demand unit; the demand unit total attention data is the sum of the demand unit attention data of each demand unit;

[0021] Calculate the total attention data of non-demand units according to the total attention data of demand units and the total attention data of initial production line units; the total attention data of non-demand units is the difference between the total attention data of initial production line units and the total attention data of demand units;

[0022] The non-demand unit attention data of the non-demand influencing unit is calculated according to the non-demand unit total attention data and the non-demand unit basic attention data.

[0023] Furthermore, the unit attention calculation module is further configured as follows: the calculation method of the non-demand unit attention data includes:

[0024] Suppose there are n non-demand impact units, , then the basic attention data of the i-th non-demand influence unit is ;

[0025] ;

[0026] Wherein, is the non-demand unit attention data of the i-th non-demand impact unit, is the total attention data of the demand unit; the total attention data of the initial production line unit is 1.

[0027] Furthermore, the unit attention calculation module is further configured as follows:

[0028] Suppose there are x demand-affected units and y non-demand-affected units; then, ; Then the basic attention data of the u-th demand influence unit is ; The basic attention data of the vth non-demand influence unit is ;but, in, .

[0029] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0031] Figure 1 A block diagram of a DCS control system based on a mine aggregate production line and aggregate sales in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0033] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0034] The present application provides a DCS control system based on a mine aggregate production line and aggregate sales, which can ensure the on-time delivery of large-volume orders and improve the delivery quality and operational safety of large-volume orders.

[0035] like Figure 1As shown, a DCS control system based on a mine aggregate production line and aggregate sales includes an order demand acquisition and determination module 110, a unit attention calculation module 120, an order attention calculation module 130 and an order sorting module 140; wherein the order demand acquisition and determination module 110 is used to obtain the order content of the order received by the system and determine the product demand mentioned in the order according to the order content, and output the order demand data; the order demand data includes the order delivery time, material type demand, total material demand and material transportation demand; the unit attention calculation module 120 is further configured to divide each production line unit into a demand-affected unit and a non-demand-affected unit according to the order demand data and the initial production mode of each production line unit; the production line unit represents the production unit of each functional module of the aggregate production line, including a feeding unit, a processing unit, a screening unit and a transportation unit; the preset order demand impact comparison table includes the order demand data , the correspondence between each production line unit and the order demand data and the production line unit; the demand affecting unit is a production line unit that adjusts the initial production mode due to the influence of order demand; the non-demand affecting unit is a production line unit that is not affected by order demand and does not need to adjust the initial production mode; determine the impact attention adjustment data of the demand affecting unit according to the order demand data and the preset order demand impact comparison table; calculate the demand unit attention data of the demand affecting unit according to the basic attention data of the demand affecting unit and the impact attention adjustment data; calculate the non-demand unit attention data of the non-demand affecting unit according to the demand unit attention data and the initial production line unit total attention data; the order attention calculation module 130 is used to calculate the order attention data according to the demand unit attention data and the non-demand unit attention data; the order sorting module 140 is used to determine the order processing order according to the order attention data.

[0036] It is understandable that in the embodiment of the present application, the aggregate production line is divided into four units: a feeding unit, a processing unit, a screening unit, and a transportation unit. However, for different aggregate production lines, it can be divided into more or fewer units. It should be noted that the orders that need to be sorted here are all orders that meet the pre-time screening conditions; specifically, the orders that need to be sorted are determined according to the order delivery time and the preset delivery time threshold contained in the order demand data; it is understandable that here the orders are screened based on the order delivery time, and the orders whose order delivery time is greater than the preset delivery time threshold are sorted, and the orders whose order delivery time is not greater than the preset delivery time threshold are sorted according to the urgency of the order delivery time; the urgency sorting here refers to determining the remaining delivery time of the order according to the order delivery time, and sorting them in order from short to long according to the remaining delivery time; and for orders whose order delivery time is greater than the preset delivery time threshold, it belongs to the order with sufficient delivery time, and the scheme of the present application is applied to sort them.

[0037] It can be understood that material type demand refers to the type of aggregate required by the order, such as 0-5mm machine-made sand and stone powder, 5-10mm crushed stone, 10-20mm crushed stone, 20-28mm crushed stone, four specifications of stone, etc.; since different types of aggregates require different levels of processing machines and different screening methods, in the preset order demand impact comparison table, the corresponding units associated with material type demand are processing units and screening units; and the corresponding unit associated with total material demand is the feeding unit; because the total material quantity determines the total material quantity that needs to be processed for this order, and these materials need to enter the processing unit from the feeding unit in batches for material processing, the total material quantity demand is associated with the feeding unit; and the material transportation demand corresponds to the transportation unit; it can be understood that the transportation unit here refers to the unit that transports the material products that have been processed and screened, and does not refer to the unit that transports unfinished materials during the processing and screening process.

[0038] It can be understood that the basic attention data for each production line unit here can be represented as the degree of computing resource allocation of the control system to each unit; for example, the basic attention data of the feeding unit is 15%, indicating that 15% of the computing resources are allocated to the feeding unit; the basic attention data of the processing unit is 40%, indicating that 40% of the computing resources are allocated to the processing unit; the basic attention data of the screening unit is 35%, indicating that 35% of the computing resources are allocated to the screening unit; the basic attention data of the transport unit is 10%, indicating that 10% of the computing resources are allocated to the transport unit.

[0039] Specifically, in an embodiment of the present application, the unit attention calculation module 120 is further configured to determine the impact attention adjustment data of the demand impact unit according to the order demand data and the preset order demand impact comparison table, including: determining the production operation steps included in the initial production mode corresponding to the demand impact unit according to the initial production mode of each production line unit; determining the additional operation steps according to the order demand data and the preset order demand impact comparison table; obtaining the number of steps of the additional operation steps and the preset step attention impact comparison table; determining the impact attention adjustment data of the demand impact unit according to the number of steps and the preset step attention impact comparison table; the preset step attention impact comparison table contains the correspondence between the number of steps and the impact attention adjustment data.

[0040] It can be understood that the initial production mode here is represented by the simplest production mode, the basic production mode with the least energy consumption and the least steps; and based on the order requirements, it can be determined to add additional production steps to the basic production mode; for example, the basic production mode of the feeding unit is the preset basic material quantity, which corresponds to adding materials three times in the feeding unit; the basic production mode of the processing unit is to process the stone with the largest diameter once, and the corresponding production steps are 4 steps; the basic production mode of the screening unit is to perform 1 screening; the basic production mode of the transportation unit is no need for transportation; it can be understood that the basic production mode of each production line unit illustrated in the above examples is characterized by the fact that there is no additional demand for materials in the corresponding order, so when additional demand appears in the order, such as the material type demand is greater than the preset type quantity, the total material demand is greater than the preset material quantity, and the material transportation demand is that transportation is required, the unit associated with the above demand is the demand affecting unit; similarly, when there is no physical transportation demand, the transportation unit is a non-demand affecting unit.

[0041] It can be understood that since the processing method of the aggregate production line is fixed, the products that can be processed and produced are also fixed. Therefore, when the order demand is obtained, based on the total material quantity demand and material type demand in the order demand, combined with the historical processing records, the production steps that need to be added to the corresponding demand in the order demand can be determined; that is, the additional operation steps are determined according to the order demand data and the preset order demand impact comparison table; and for each additional production step, the system needs to allocate an additional portion of computing power resources to the unit, that is, the impact attention adjustment data of the demand impact unit is determined according to the number of steps and the preset step attention impact comparison table; for example, for each additional step, the attention data will be increased by 2%, etc.

[0042] Furthermore, the demand unit attention data is the sum of the basic attention data of the demand influencing unit and the influence attention adjustment data.

[0043] Further, the method of calculating the non-demand unit attention data of the non-demand influencing unit based on the demand unit attention data and the initial production line unit total attention data includes: calculating the demand unit total attention data based on the demand unit attention data of each of the demand units; the demand unit total attention data is the sum of the demand unit attention data of each of the demand units; calculating the non-demand unit total attention data based on the demand unit total attention data and the initial production line unit total attention data; the non-demand unit total attention data is the difference between the initial production line unit total attention data and the demand unit total attention data; calculating the non-demand unit attention data of the non-demand influencing unit based on the non-demand unit total attention data and the basic attention data of the non-demand unit.

[0044] In the embodiment of the present application, it should be noted that the unit attention calculation module 120 is further configured to have x demand-influencing units and y non-demand-influencing units; then, ; Then the basic attention data of the u-th demand influence unit is ; The basic attention data of the vth non-demand influence unit is ;but, in, .

[0045] The calculation method of the non-demand unit attention data includes:

[0046] Suppose there are n non-demand impact units, , then the basic attention data of the i-th non-demand influence unit is ;

[0047] ;

[0048] Wherein, is the non-demand unit attention data of the i-th non-demand impact unit, is the total attention data of the demand unit; the total attention data of the initial production line unit is 1.

[0049] It can be understood that in the embodiment of the present application, the computing power resources of the system are regarded as fixed, so when the attention of any unit increases, the corresponding computing power resources will also increase; then the attention of some of the remaining units will decrease, and the corresponding computing power resources will also decrease.

[0050] After obtaining the attention data of each unit corresponding to each order, the order attention data can be calculated in combination with the preset unit attention score; and then the order processing order can be obtained by sorting the order attention data from high to low.

[0051] It is understandable that the preset unit attention scores of different units are different. Therefore, through the calculation formula, the demand unit attention data of the demand influencing unit contained in the order * the corresponding preset unit attention score + the non-demand unit attention data of the non-demand influencing unit contained in the order * the corresponding preset unit attention score = order attention data.

[0052] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0053] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described device can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0054] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A DCS control system based on mine aggregate production line and aggregate sales, characterized in that: It includes an order demand acquisition and determination module (110), a unit attention calculation module (120), an order attention calculation module (130) and an order sorting module (140); The order demand acquisition and determination module (110) is used to acquire the order content of the order received by the system and determine the product demand mentioned in the order according to the order content, and output order demand data; the order demand data includes order delivery time, material type requirement, material total quantity requirement and material transportation requirement; The unit attention calculation module (120) is further configured to: According to the order demand data and the initial production mode of each production line unit, each production line unit is divided into a demand-affected unit and a non-demand-affected unit; the production line unit represents the production unit of each functional module of the aggregate production line, including a feeding unit, a processing unit, a screening unit and a transportation unit; the demand-affected unit is a production line unit that adjusts the initial production mode due to the order demand; the non-demand-affected unit is a production line unit that is not affected by the order demand and does not need to adjust the initial production mode; Determine the impact attention adjustment data of the demand impact unit according to the order demand data and a preset order demand impact comparison table; the preset order demand impact comparison table includes the order demand data, each production line unit and the corresponding relationship between the order demand data and the production line unit; Calculate the demand unit attention data of the demand influencing unit according to the basic attention data of the demand influencing unit and the attention influencing adjustment data; Calculate the non-demand unit attention data of the non-demand impact unit according to the demand unit attention data and the initial production line unit total attention data; The order attention calculation module (130) is used to calculate order attention data according to the demand unit attention data and the non-demand unit attention data; The order sorting module (140) is used to determine the order processing order according to the order attention data.

2. The system according to claim 1, characterized in that The unit attention calculation module (120) is further configured to determine the attention adjustment data of the demand impact unit according to the order demand data and the preset order demand impact comparison table, including: Determining the production operation steps included in the initial production mode corresponding to the demand influencing unit according to the initial production mode of each production line unit; Determine additional operation steps according to the order demand data and the preset order demand impact comparison table; Obtain a comparison table of the number of steps of the added operation steps and the impact of the attention of the preset steps; Determine the impact attention adjustment data of the demand impact unit according to the number of steps and the preset step attention impact comparison table; The preset step attention impact comparison table includes the corresponding relationship between the number of steps and the attention impact adjustment data.

3. The system according to claim 2, characterized in that The unit attention calculation module (120) is further configured such that the demand unit attention data is the sum of the basic attention data of the demand influencing unit and the influencing attention adjustment data.

4. The system according to claim 3, characterized in that The unit attention calculation module (120) is further configured to calculate the non-demand unit attention data of the non-demand impact unit according to the demand unit attention data and the initial production line unit total attention data, including: Calculate the demand unit total attention data according to the demand unit attention data of each demand unit; the demand unit total attention data is the sum of the demand unit attention data of each demand unit; Calculate the total attention data of non-demand units according to the total attention data of demand units and the total attention data of initial production line units; the total attention data of non-demand units is the difference between the total attention data of initial production line units and the total attention data of demand units; The non-demand unit attention data of the non-demand influencing unit is calculated according to the non-demand unit total attention data and the non-demand unit basic attention data.

5. The system according to claim 4, characterized in that The unit attention calculation module (120) is further configured such that the calculation method of the non-demand unit attention data includes: Suppose there are n non-demand-affecting units, , then the basic attention data of the i-th non-demand influence unit is ; ； In the formula, is the non-demand unit attention data of the i-th non-demand influence unit, is the total attention data of the demand unit; the total attention data of the initial production line unit is 1.

6. The system according to claim 5, characterized in that The unit attention calculation module (120) is further configured to: Suppose there are x demand-affected units and y non-demand-affected units; then, ; Then the basic attention data of the u-th demand influence unit is ; The basic attention data of the vth non-demand influence unit is ;but, ;in, .

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