CN112710374B - Automatic conversion method for intelligent wagon balance collected data - Google Patents
Automatic conversion method for intelligent wagon balance collected data Download PDFInfo
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- CN112710374B CN112710374B CN202011304079.9A CN202011304079A CN112710374B CN 112710374 B CN112710374 B CN 112710374B CN 202011304079 A CN202011304079 A CN 202011304079A CN 112710374 B CN112710374 B CN 112710374B
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- target material
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- intelligent wagon
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/62—Over or under weighing apparatus
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/20—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring contours or curvatures, e.g. determining profile
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G23/00—Auxiliary devices for weighing apparatus
- G01G23/18—Indicating devices, e.g. for remote indication; Recording devices; Scales, e.g. graduated
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W90/00—Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation
Abstract
The embodiment of the application provides an automatic conversion method for intelligent wagon balance acquired data, which comprises the steps of placing target materials on an intelligent wagon balance, and obtaining the reading of the target materials on the intelligent wagon balance; acquiring the dimension of the three-dimensional area of the target material based on the corresponding relation between the preset weight and the material dimension; determining the type of the target material according to the tomography screenshot of the target material; and finishing the bin withdrawal operation of the target material by combining the known three-dimensional size. Through the corresponding relation of multiple attributes that predetermine, realize only relying on the single parameter of the weight that intelligent wagon balance obtained to accomplish the material move back storehouse operation including multiple contents such as weight, size, type, simplified move back storehouse flow.
Description
Technical Field
The application belongs to the field of material recycling operation, and particularly relates to an automatic conversion method for intelligent wagon balance collected data.
Background
The material system has many kinds, and the conversion is complicated. In the traditional material warehouse-returning process, manual weighing and data acquisition are needed, and then data calculation is carried out manually through table look-up; and after calculation, recording and entering the bin withdrawal data. The manual calculation has the defects of complex flow, time and labor waste, low efficiency and possibility of calculation errors. In the current warehouse-exiting process, managers are inconvenient to monitor the articles and the state in the warehouse-exiting process. The actual situation cannot be grasped. The informatization management level of the warehouse-out also has a great promotion space.
Therefore, there is an urgent need to develop a method for assisting material warehouse-exiting based on mobile internet and intelligent wagon balance data acquisition.
Disclosure of Invention
In order to solve the defects and shortcomings in the prior art, the automatic conversion method for the intelligent wagon balance collected data is provided, and material returning operation of various contents including weight, size, type and the like is completed only by means of a single parameter of the weight obtained by the intelligent wagon balance through the preset corresponding relation of various attributes, so that the returning process is simplified.
Specifically, the automatic conversion method for intelligent wagon balance collected data provided by the embodiment of the application comprises the following steps:
placing the target material on the intelligent wagon balance, and obtaining the reading of the target material on the intelligent wagon balance;
acquiring the dimension of the three-dimensional area of the target material based on the corresponding relation between the preset weight and the material dimension;
determining the type of the target material according to the tomography screenshot of the target material;
finishing the bin returning operation of the target material by combining the known three-dimensional size;
the intelligent wagon balance comprises weighing sensors with preset quantity, data transmission is carried out between the weighing sensors through a wireless communication technology, and the total indication quantity of all the weighing sensors is used as the total weight of target materials.
Optionally, the obtaining of the reading of the target material on the intelligent wagon balance includes:
selecting a preset number of weighing points according to the actual shape of the target material;
installing a weighing sensor of the intelligent wagon balance at a weighing point of a target material;
and after the readings are stable, acquiring the sum of the readings of the weighing sensors as the reading of the corresponding target material.
Optionally, the selecting a preset number of weighing points according to the actual shape of the target material includes:
selecting a margin line of a target material;
and zooming according to a preset scale according to the size of the target material, and rounding the result upwards to be the number of the called key points.
Optionally, based on the corresponding relation between the preset weight and the size of the material, the three-dimensional size of the target material is obtained, which includes:
according to the warehouse-exiting historical data set, establishing a corresponding relation between the weight and the size of the material according to different types of the material;
and substituting the obtained reading into the established corresponding relation to obtain the dimension of the three-dimensional area of the target material.
Optionally, the determining the type of the target material according to the tomography screenshot of the target material includes:
before weighing the target material, carrying out tomography scanning on the target material to obtain a tomography screenshot representing material components contained in the target material;
and selecting the material component with the highest component content in the tomography screenshot to determine the type of the target material.
Optionally, the selecting a material component with the highest component content in the tomography screenshot to determine the type of the target material includes:
in the sectional scanning screenshot, different materials correspond to different colors;
and determining the type of the target material according to the corresponding relation between the color binding material with the largest area and the color in the tomography screenshot.
Optionally, the performing of the bin returning operation of the target material in combination with the known three-dimensional size includes:
and reporting data of target material information including three-dimensional size and weight represented by the reading to finish the operation of returning the warehouse.
The beneficial effect that technical scheme that this application provided brought is:
through the corresponding relation of multiple attributes that predetermine, realize only relying on the single parameter of the weight that intelligent wagon balance obtained to accomplish the material that includes multiple content such as weight, size, type and move back the storehouse operation, simplified the flow of moving back the storehouse.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an automatic conversion method for intelligent wagon balance collected data according to an embodiment of the present application.
Detailed Description
To make the structure and advantages of the present application clearer, the structure of the present application will be further described with reference to the accompanying drawings.
Example one
Specifically, as shown in fig. 1, the automatic conversion method for intelligently collecting data of a wagon balance according to the embodiment of the present application includes:
11. placing the target material on the intelligent wagon balance, and obtaining the reading of the target material on the intelligent wagon balance;
12. acquiring the dimension of the three-dimensional area of the target material based on the corresponding relation between the preset weight and the material dimension;
13. determining the type of the target material according to the tomography screenshot of the target material;
14. finishing the bin returning operation of the target material by combining the known three-dimensional size;
wherein, intelligence weighbridge carries out data transmission through wireless communication technique including the weighing sensor of predetermineeing quantity between the weighing sensor, and the total weight of target material is regarded as to all weighing sensor's registration sum.
In the implementation, in order to finish the warehouse-returning operation of the target material only by means of the intelligent wagon balance, the embodiment of the application provides an automatic conversion method, and the main realization idea is that the corresponding relation between the weight and the size of the material and the corresponding relation between different material components and colors in a tomography image are respectively constructed based on historical data, so that a series of parameters such as the size of the three-dimensional area of the target material and the type of the target material are finished only by means of the parameter of the weight, and the warehouse-returning operation is finished conveniently. Because all operations can be completed only by using the reading given by the intelligent wagon balance as a trigger condition in the process, compared with the operations such as manual report in the prior art, the effects of simplifying the flow and shortening the time are achieved.
Optionally, the operation content proposed in step 11 includes:
111. selecting a preset number of weighing points according to the actual shape of the target material;
112. installing a weighing sensor of the intelligent wagon balance at a weighing point of a target material;
113. and after the readings are stable, acquiring the sum of the readings of the weighing sensors as the reading of the corresponding target material.
In implementation, the specific process executed in step 111 includes:
selecting a margin line of a target material;
and zooming according to a preset scale according to the size of the target material, and rounding the result upwards to be the number of the called key points.
The edge line is a ground projection shape of the outline of the appearance of the target material, and the purpose is to determine the mounting position of the load cell as quickly as possible. It should be noted that if the target material is not rigid enough and is easy to deform, an additional weighing sensor needs to be placed in the middle position in order to obtain the correct reading corresponding to the weight. In addition, it is proposed to scale the weighing sensors according to a preset scale in order to calculate the number of the weighing sensors as soon as possible. Unlike the scale on a common map, the preset scale is only the corresponding relation between the size of the target material and the weighing sensor. For example, a common material for emptying is substation equipment, which is generally about 40-50m in size, and a load cell is 10-20cm in size, where the scale bar may be 1: 4000/20 to 1: 5000/10.
Optionally, the operation content provided in step 12 includes:
121. according to the warehouse-exiting historical data set, establishing a corresponding relation between the weight and the size of the material according to different types of the material;
122. and substituting the obtained reading into the established corresponding relation to obtain the dimension of the three-dimensional area of the target material.
In the implementation, because the weight and the size of the same type of equipment are in positive correlation, the establishment of the corresponding relation between the weight and the size of the material can meet the practical requirement, and after the weight of the target material is obtained, the three-dimensional size of the target material can be obtained based on the corresponding relation.
Optionally, the operation content proposed in step 13 includes:
131. before weighing the target material, carrying out tomography scanning on the target material to obtain a tomography screenshot representing material components contained in the target material;
132. and selecting the material component with the highest component content in the tomography screenshot to determine the type of the target material.
In the implementation, the proposed tomography is the section-by-section X-ray, alpha, beta, gamma and other radioactive element-based scanning of target materials, and the corresponding relation between the materials and the colors is generated because different substances have different capacities of being penetrated by radioactive rays. And determining the type of the target material according to the corresponding relation between the color binding material with the largest area and the color in the tomography screenshot.
Optionally, step 14 provides specific content of the operation, including:
and reporting data of target material information including three-dimensional size and weight represented by the reading to finish the operation of returning the warehouse.
In the actual warehouse exit, the three-dimensional size, the weight and the type of the material need to be respectively counted and reported, so that all data required by warehouse exit can be obtained based on the technical scheme provided by the steps 11 to 13, and the warehouse exit operation is completed.
In order to realize the technology, an intelligent wagon balance is selected, a waste cooperative system platform is matched, wagon balance weighing data are obtained, and then the material length is calculated according to a known conversion rule. The specific implementation method comprises the following steps:
based on intelligent weighbridge, data acquisition after weighing is carried out to material that moves back the storehouse. The intelligent wagon balance data are acquired through a waste collaborative system platform, and after the intelligent wagon balance data are acquired, the length of a conversion material is automatically calculated according to the existing conversion rule and formula and is recorded in the system. Can improve the efficiency of moving back storehouse goods and materials data acquisition, promote the degree of accuracy of basic data, promote the rate of correctness of conversion, effectual management and control goods and materials move back storehouse information.
The automatic conversion method of the weight and the length of the materials is based on a mobile internet and an intelligent wagon balance data acquisition technology, a material data port is obtained through an intelligent wagon balance, and conversion is automatically carried out according to conversion formulas of different materials. Compared with manual recording, the method has the advantages of manual calculation, higher efficiency and higher accuracy.
In the actual warehouse withdrawing process, the waste material management and control platform and the waste material APP can be integrated, the management and control platform is used for recording and maintaining basic data of the materials, maintenance of material conversion formulas is achieved, and waste old dismantling flow management and control are achieved through the platform.
The APP is opened to warehouse management personnel, after the APP is opened and enters the warehouse, the items in the warehouse can be selected, and after the substances are selected, intelligent wagon balance data acquisition and intelligent wagon balance field photographing and storage can be developed. Through the APP built-in conversion method, after data are automatically calculated, the data are automatically generated in the bin returning quantity, and meanwhile, the field photos can be stored, the field situation is reserved, and the data are conveniently looked up at any time. And data are automatically converted, and manual conversion errors are reduced.
The operator in the field can understand the operation steps for implementing the method, and the algorithm is integrated in software, and the precision is about 0.1 meter, which is within the acceptable range.
The sequence numbers in the above embodiments are merely for description, and do not represent the sequence of the assembly or the use of the components.
The above description is intended only to serve as examples of the present application and should not be construed as limiting the present application, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present application should be included in the scope of the present application.
Claims (6)
1. An automatic conversion method for intelligently acquiring data of a wagon balance, the automatic conversion method comprising:
placing the target material on the intelligent wagon balance, and obtaining the reading of the target material on the intelligent wagon balance;
acquiring the three-dimensional size of the target material based on the corresponding relation between the preset weight and the size of the material;
determining the type of the target material according to the tomography screenshot of the target material;
finishing the bin returning operation of the target material by combining the known three-dimensional size;
the intelligent wagon balance comprises a preset number of weighing sensors, data transmission is carried out between the weighing sensors through a wireless communication technology, and the sum of readings of all the weighing sensors is used as the total weight of target materials;
the determining the type of the target material according to the tomography screenshot of the target material comprises the following steps:
before weighing the target material, carrying out tomography scanning on the target material to obtain a tomography screenshot representing material components contained in the target material;
and selecting the material component with the highest component content in the tomography screenshot to determine the type of the target material.
2. The automatic conversion method for intelligent wagon balance acquired data of claim 1, wherein the obtaining of the reading of the target material on the intelligent wagon balance comprises:
selecting a preset number of weighing points according to the actual shape of the target material;
installing a weighing sensor of the intelligent wagon balance at a weighing point of a target material;
and after the readings are stable, acquiring the sum of the readings of the weighing sensors as the reading of the corresponding target material.
3. The automatic conversion method for intelligent wagon balance collection data of claim 2, wherein the selecting a preset number of weighing points according to the actual shape of the target material comprises:
selecting a margin line of a target material;
and zooming according to a preset scale according to the size of the target material, and rounding the result upwards to be the number of the called key points.
4. The automatic conversion method for intelligent wagon balance acquired data as claimed in claim 1, wherein the obtaining of the three-dimensional size of the target material based on the corresponding relationship between the preset weight and the size of the material comprises:
according to the warehouse-exiting historical data set, establishing a corresponding relation between the weight and the size of the material according to different types of the material;
and substituting the acquired reading into the established corresponding relation to obtain the three-dimensional size of the target material.
5. The automatic conversion method for intelligent wagon balance acquired data as claimed in claim 1, wherein the step of selecting the material component with the highest component content in the tomography screenshot to determine the type of the target material comprises the following steps:
in the sectional scanning screenshot, different materials correspond to different colors;
and determining the type of the target material according to the corresponding relation between the color binding material with the largest area and the color in the tomography screenshot.
6. The automatic conversion method for intelligent wagon balance collected data as claimed in claim 1, wherein the performing of the warehouse unloading operation of the target material in combination with the known three-dimensional size comprises:
and reporting data of target material information including three-dimensional size and weight represented by the reading to finish the operation of returning the warehouse.
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| DK126983D0 (en) * | 1983-03-21 | 1983-03-21 | Grundtvig Knud As | WEIGHT INDICATOR |
| CN103613015A (en) * | 2013-11-26 | 2014-03-05 | 中联重科股份有限公司 | Safety hoisting and loading control method, safety hoisting and loading control device, safety hoisting and loading control system as well as crane |
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| CN109313801A (en) * | 2016-04-15 | 2019-02-05 | 可口可乐公司 | Shelf inventory management system and method |
| CN110702559A (en) * | 2019-10-11 | 2020-01-17 | 广东美的厨房电器制造有限公司 | Object identification method and device, cooking equipment and computer readable storage medium |
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2020
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| DK126983D0 (en) * | 1983-03-21 | 1983-03-21 | Grundtvig Knud As | WEIGHT INDICATOR |
| CN103613015A (en) * | 2013-11-26 | 2014-03-05 | 中联重科股份有限公司 | Safety hoisting and loading control method, safety hoisting and loading control device, safety hoisting and loading control system as well as crane |
| CN205526542U (en) * | 2016-01-26 | 2016-08-31 | 上电科（北京）系统工程技术有限公司 | Logistics distribution system |
| CN109313801A (en) * | 2016-04-15 | 2019-02-05 | 可口可乐公司 | Shelf inventory management system and method |
| CN108267205A (en) * | 2018-01-15 | 2018-07-10 | 安徽七禾软件有限公司 | A kind of intelligent weighing system weighed for weighbridge |
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