Method for automatically acquiring, analyzing and tracing production data of industrially packaged explosives

Abstract

The invention discloses an industrial package explosive production data automatic acquisition, analysis and tracing method, and the method specifically comprises the following steps: S1, the industrial package explosive production data is automatically acquired, and the production data comprises process data and personnel data; s2, generating a two-dimensional code according to the industrial packaging explosive production data, printing the two-dimensional code at a carton sealing opening of the packaging explosive, completing warehouse-out scanning, and recording the warehouse-out quantity; and S3, calculating the explosive cost according to the industrial packaging explosive production data and the ex-warehouse quantity.

Description

Technical Field

[0001] The invention relates to the technical field of safe production, and in particular to a method for automatically collecting, analyzing and tracing production data of industrial packaged explosives. Background Art

[0002] At present, the industrial packaged explosives production line has gradually achieved the goal of reducing the number of people in the industry through informatization and automation transformation. However, in the production process of industrial packaged explosives, key data such as raw and auxiliary material consumption, production process, finished product performance, quality inspection, etc. are still collected in a timely and accurate manner, and even missed, resulting in a large workload of manual reporting, difficult and inaccurate cost accounting of finished products, and the inability to quickly and accurately trace finished product problems, which seriously affects the company's refined production management and customer experience. Summary of the invention

[0003] Aiming at the problem that the prior art cannot quickly and accurately trace products, the present invention proposes a method for automatically collecting, analyzing and tracing production data of industrial packaged explosives.

[0004] In order to achieve the above object, the present invention provides the following technical solutions:

[0005] A method for automatically collecting, analyzing and tracing production data of industrial packaged explosives, specifically comprising the following steps:

[0006] S1: Automatically collect industrial packaged explosive production data, including process data and personnel data;

[0007] S2: Generate a QR code based on the production data of industrial packaged explosives, print it on the seal of the carton of packaged explosives, complete the outbound scanning and record the outbound quantity;

[0008] S3: Calculate the cost of explosives based on industrial packaged explosives production data and shipment quantity.

[0009] Preferably, in said S1, the process data includes: explosive ID, explosive name, explosive model, explosive specification, water phase preparation data, oil phase preparation data, foaming agent preparation data, charging process data, and packaging process data.

[0010] Preferably, the water phase preparation data includes: water phase raw material number, water phase raw material name, water phase raw material specification, water phase raw material model, water phase measurement unit, water phase quota standard, water phase actual consumption, and water phase preparation temperature.

[0011] Preferably, the oil phase preparation data includes: oil phase raw material number, oil phase raw material name, oil phase raw material specification, oil phase raw material model, oil phase measurement unit, oil phase quota standard, oil phase actual consumption, and oil tank preparation temperature.

[0012] Preferably, the foaming agent preparation data includes: foaming agent raw material number, foaming agent raw material name, foaming agent raw material specification, foaming agent raw material model, foaming agent measurement unit, foaming agent quota standard, foaming agent actual consumption, and foaming agent preparation temperature.

[0013] Preferably, the charging process data include: charging raw material number, charging raw material name, charging raw material specification, charging raw material model, charging measurement unit, charging quota standard, and actual charging consumption.

[0014] Preferably, the packaging process data includes: packaging raw material number, packaging raw material name, packaging raw material specification, packaging raw material model, packaging measurement unit, packaging quota standard, and actual packaging consumption.

[0015] Preferably, the actual consumption of the aqueous phase is:

[0016]

[0017] In formulas (1) and (2), f(r, l, s) represents the correction function; p is the maximum depth of water accumulation in the pipeline; r is the inner diameter of the pipeline; l is the length of the pipeline; and s is the attachment width.

[0018] Preferably, the actual consumption of the oil phase is:

[0019]

[0020] f(r,l,s)=ρπ([r 2 -(rs) 2 ])l (4)

[0021] In formulas (3) and (4), f(r, l, s) represents the correction function; ρ represents the density of the oil phase material; r is the inner diameter of the pipeline; l is the length of the pipeline; and s is the attachment width.

[0022] Preferably, in S3, the explosive cost includes raw material cost, production personnel cost and production line cost; wherein, raw material cost = raw material outbound quantity × raw material outbound unit price; production personnel cost = labor cost × outbound quantity; production line cost data = production line energy consumption cost + depreciation cost.

[0023] In summary, due to the adoption of the above technical solution, compared with the prior art, the present invention has at least the following beneficial effects:

[0024] The present invention greatly improves the accuracy and credibility of explosive production data by automatically collecting explosive production information, and provides an important objective basis for product tracing; the method uses a box to print a two-dimensional code and combines it with scanning the code to ship out of the warehouse, which improves the efficiency of shipping out and the accuracy of production statistics, and reduces the uncertainty of human factors; the method combines explosive production and explosive quota, and compared with only relying on flow meters and manual statistics, it can more accurately calculate raw material consumption information and calculate product costs, and the results are objective and accurate, which greatly improves the efficiency of cost accounting, and provides a reference for product pricing, solves the problem that problems with finished products cannot be quickly and accurately traced, and improves the company's refined production management and customer experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 The present invention is a schematic diagram of a method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0026] The present invention is further described in detail below in conjunction with the examples and specific implementation methods. However, this should not be understood as the scope of the above subject matter of the present invention being limited to the following examples, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0027] In the description of the present invention, it is necessary to understand that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0028] like Figure 1 As shown, the present invention provides a method for automatically collecting, analyzing and tracing production data of industrial packaged explosives, which specifically includes the following steps:

[0029] S1: Automatically collect industrial packaged explosive production data, including process data and personnel data.

[0030] In this embodiment, process data is automatically collected by automated equipment of an industrial packaged explosive production line (such as flow sensors, electronic scales, electric meters, water meters), and the process data includes: explosive ID, explosive name, explosive model, explosive specifications, water phase preparation data, oil phase preparation data, foaming agent preparation data, loading process data, packaging process data, etc.

[0031] In this embodiment, the water phase preparation data includes fields such as water phase raw material number, water phase raw material name, water phase raw material specification, water phase raw material model, water phase measurement unit, water phase quota standard, water phase actual consumption, water phase preparation temperature, etc. Among them, the quota standard refers to the quantity of raw materials required to produce each unit of explosives of a certain specification.

[0032] In this embodiment, the oil phase preparation data includes: oil phase raw material number, oil phase raw material name, oil phase raw material specification, oil phase raw material model, oil phase measurement unit, oil phase quota standard, oil phase actual consumption, oil tank preparation temperature and other fields.

[0033] In this embodiment, the foaming agent preparation data includes: foaming agent raw material number, foaming agent raw material name, foaming agent raw material specification, foaming agent raw material model, foaming agent measurement unit, foaming agent quota standard, foaming agent actual consumption, foaming agent preparation temperature and other fields.

[0034] In this embodiment, the charging process data includes fields such as charging raw material number, charging raw material name, charging raw material specification, charging raw material model, charging measurement unit, charging quota standard, and actual charging consumption.

[0035] In this embodiment, the packaging process data includes: packaging raw material number, packaging raw material name, packaging raw material specification, packaging raw material model, packaging measurement unit, packaging quota standard, actual packaging consumption and other fields.

[0036] In this embodiment, since the accuracy of the sensor (flow sensor, installed in the storage tank or delivery pipeline of the water phase and oil phase materials) will decrease with the use time, there is a possibility of inaccurate data if the sensor consumption data is completely relied upon as the actual consumption data. The explosives quota is the consumption of the raw materials in an ideal state, and there will be losses and carryover in the actual delivery pipeline. Therefore, the consumption data of each raw material can be calculated in the following way.

[0037]

[0038] In formula (1), f(r,l,s) represents the correction function, r is the inner diameter of the pipeline, l is the length of the pipeline, and s is the attachment width. The quota consumption can be set manually according to the explosive formula.

[0039] In this embodiment, for the oil phase material, which is relatively viscous and has a large amount of raw material attached, the correction function is:

[0040] f(r,l,s)=ρπ([r 2 -(rs) 2 ])l (2)

[0041] In formula (2), ρ represents the density of the oil phase material (with ρ, the mass is obtained in kg, without ρ, the volume is obtained in cubic meters); r is the inner diameter of the pipeline; l is the length of the pipeline; and s is the attachment width.

[0042] In this embodiment, for water-phase materials, the raw materials are less attached, so it is necessary to consider the water accumulation at the bottom of the pipeline. Let p be the deepest depth of the water accumulation, the center of the pipeline is the origin O(0,0), and the correction function is:

[0043]

[0044] In formula (3), p is the maximum depth of water accumulation in the pipeline; r is the inner diameter of the pipeline; l is the length of the pipeline; and s is the attachment width.

[0045] In this embodiment, when the quota consumption < consumption data < 1.1 times the quota consumption, the consumption data can be considered as actual consumption. If the consumption data exceeds the above range, it can be considered that the accuracy of the sensor has decreased and the sensor must be replaced in time.

[0046] In this embodiment, the personnel data of factory production is determined by installing cameras for facial recognition, fingerprint collection, and positioning devices at the factory entrance and exit, inside the workshop, and at the entrance and exit.

[0047] S2: Generate a QR code based on the production data of industrial packaged explosives, print it on the seal of the carton of packaged explosives, complete the outbound scanning and record the outbound quantity.

[0048] In this embodiment, the industrial packaged explosive production data, factory energy consumption data, and production line depreciation data are associated to generate a QR code, which is printed on the seal of the packaged explosive carton. After the carton is scanned by a scanning head installed on the conveyor belt, it is automatically shipped out of the warehouse, and the production information of the batch of packaged explosives can be viewed by scanning the QR code.

[0049] Customers can scan the QR code to view the production information of explosives and provide feedback on the appearance of explosives and blasting effects. In the system, they can view the explosives according to their model and specifications, which facilitates product traceability and improvement.

[0050] S3: Calculate the explosives cost based on the explosives production data and the quantity shipped out.

[0051] In this embodiment, the explosive cost includes raw material cost, production personnel cost, production line cost, etc., that is, explosive cost = raw material cost + production personnel cost + production line cost.

[0052] Among them, the raw material cost can be calculated based on the raw material shipment quantity and the raw material shipment unit price, that is, the raw material cost = raw material shipment quantity × raw material shipment unit price; the production personnel cost can be calculated based on the corresponding labor cost of the explosives production personnel and the shipment quantity (which can be obtained based on the scanned shipment quantity and production data), that is, the production personnel cost = labor cost × shipment quantity; the production line cost data can be calculated based on the production line energy consumption cost and depreciation cost, that is, the production line cost data = production line energy consumption cost + depreciation cost.

[0053] The calculation of the above-mentioned explosive cost is a prior art and does not belong to the inventive point of the present invention, so it will not be elaborated here.

[0054] Those skilled in the art will appreciate that the above-mentioned embodiments are specific examples for implementing the present invention, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present invention.

Claims

1. A method for automatically collecting, analyzing and tracing production data of industrial packaged explosives, characterized in that: The specific steps include: S1: Automatically collect industrial packaged explosive production data, including process data and personnel data; S2: Generate a QR code based on the production data of industrial packaged explosives, print it on the seal of the carton of packaged explosives, complete the outbound scanning and record the outbound quantity; S3: Calculate the cost of explosives based on industrial packaged explosives production data and shipment quantity.

2. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to claim 1, characterized in that: In S1, the process data includes: explosive ID, explosive name, explosive model, explosive specification, water phase preparation data, oil phase preparation data, foaming agent preparation data, charging process data, and packaging process data.

3. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to claim 2, characterized in that: The water phase preparation data include: water phase raw material number, water phase raw material name, water phase raw material specification, water phase raw material model, water phase measurement unit, water phase quota standard, water phase actual consumption, and water phase preparation temperature.

4. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to claim 2, characterized in that: The oil phase preparation data includes: oil phase raw material number, oil phase raw material name, oil phase raw material specification, oil phase raw material model, oil phase measurement unit, oil phase quota standard, oil phase actual consumption, and oil tank preparation temperature.

5. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to claim 2, characterized in that: The foaming agent preparation data includes: foaming agent raw material number, foaming agent raw material name, foaming agent raw material specification, foaming agent raw material model, foaming agent measurement unit, foaming agent quota standard, foaming agent actual consumption, and foaming agent preparation temperature.

6. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to claim 2, characterized in that: The charging process data include: charging raw material number, charging raw material name, charging raw material specification, charging raw material model, charging measurement unit, charging quota standard, and actual charging consumption.

7. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to claim 2, characterized in that: The packaging process data include: packaging raw material number, packaging raw material name, packaging raw material specification, packaging raw material model, packaging measurement unit, packaging quota standard, and actual packaging consumption.

8. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives as claimed in claim 3, characterized in that: The actual consumption of the aqueous phase is: In formulas (1) and (2), f(r, l, s) represents the correction function; p is the maximum depth of water accumulation in the pipeline; r is the inner diameter of the pipeline; l is the length of the pipeline; and s is the attachment width.

9. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to claim 4, characterized in that: The actual consumption of the oil phase is: f(r,l,s)=ρπ([r 2 -(rs) 2 ])l (4) In formulas (3) and (4), f(r, l, s) represents the correction function; ρ represents the density of the oil phase material; r is the inner diameter of the pipeline; l is the length of the pipeline; and s is the attachment width.

10. The method for automatically collecting, analyzing and tracing production data of industrial packaged explosives according to claim 1, characterized in that: In S3, the explosive cost includes raw material cost, production personnel cost, and production line cost; wherein, raw material cost = raw material outbound quantity × raw material outbound unit price; production personnel cost = labor cost × outbound quantity; production line cost data = production line energy consumption cost + depreciation cost.

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