CN114260193A - Method for screening large stone blocks of garbage soil - Google Patents
Method for screening large stone blocks of garbage soil Download PDFInfo
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- 239000004575 stone Substances 0.000 title claims abstract description 229
- 238000012216 screening Methods 0.000 title claims abstract description 196
- 238000000034 method Methods 0.000 title claims abstract description 43
- 239000002689 soil Substances 0.000 title claims abstract description 37
- 239000010813 municipal solid waste Substances 0.000 title abstract description 41
- 239000012535 impurity Substances 0.000 claims abstract description 37
- 239000002699 waste material Substances 0.000 claims description 19
- 239000003086 colorant Substances 0.000 claims description 5
- 239000011435 rock Substances 0.000 claims description 4
- 238000010422 painting Methods 0.000 claims description 3
- 238000011084 recovery Methods 0.000 abstract 2
- 238000004064 recycling Methods 0.000 description 9
- 230000000007 visual effect Effects 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 244000309464 bull Species 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 230000032258 transport Effects 0.000 description 2
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012384 transportation and delivery Methods 0.000 description 1
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Abstract
The invention discloses a method for screening large stones of garbage soil, which comprises the steps of obtaining a part of large stones from a garbage soil pile, and analyzing the type of each large stone; establishing distribution areas for accommodating various types of large stones; and under the condition of obtaining the selection operation of a plurality of large stone screening types, determining the attribute value corresponding to each large stone screening type and the incidence relation among the large stone screening types so as to determine the distribution area corresponding to each large stone. The invention realizes more efficient screening of various types of large stones, thereby facilitating the proper treatment mode of each type of large stones in the subsequent recovery process, and improving the recovery utilization rate of each type of large stones; the screening is carried out to the impurity rubbish and the big stone of having still realized carrying out the omnidirectional with in the rubbish soil heap, realizes automatic screening, ensures that the big stone of screening play can not thoughtlessly have impurity rubbish.
Description
Technical Field
The invention relates to the technical field of garbage soil treatment, in particular to a method for screening large stones of garbage soil.
Background
The large stone blocks of the garbage soil are large in production amount and complex and more in types, and in order to improve and maintain the environmental quality, the uniform and non-classified treatment is adopted by people at present. In the course of clearing and transporting the big stone of rubbish soil, and the mode that the big stone of different grade type was handled is different, and the big stone that can mostly be recycled at present does not sieve the big stone of different grade type in advance, but directly transports to the treatment center and carries out unanimous processing, leads to various types of big stone not to handle according to suitable mode, and this kind of mode can be unfavorable for retrieving and recycling to cause the wasting of resources easily.
And the separation process of the large stone blocks and the impurity garbage in the garbage soil pile is generally sorted manually by workers, so that the method has low efficiency and low accuracy.
Disclosure of Invention
In order to overcome the defects of the prior technical scheme, the invention provides a method for screening large stones of garbage soil.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a process for screening large rocks from waste soils, the process comprising:
after obtaining a part of large stones from the waste soil heap, analyzing the type of each large stone;
establishing distribution areas of various types for accommodating large stones, wherein each large stone corresponds to each distribution area of various types;
under the condition of obtaining the selection operation of a plurality of large stone screening types, determining an attribute value corresponding to each large stone screening type and an association relation among the large stone screening types;
according to the order from the big stone of first type to the big stone of second type, according to the target screening attribute and the attribute value that the big stone of every type corresponds in big stone screening type to confirm the target screening attribute and the attribute value in the distribution district that corresponds, accomplish big stone screening process.
As a preferred embodiment of the present invention, the analyzing the type of each large stone block includes:
acquiring a characteristic value of each large stone block under a plurality of characteristics to be selected respectively and a classification label corresponding to each large stone block;
determining an importance metric value in each feature to be selected, and determining a plurality of feature sets according to the importance metric value of each feature to be selected;
and obtaining a classification graph by using the characteristic value of each training sample under each feature to be selected contained in the feature set and the classification label corresponding to each feature to be selected, obtaining the classification accuracy corresponding to the feature set, and determining the feature to be selected contained in the feature set with the highest classification accuracy as the selected feature.
As a preferred technical solution of the present invention, determining an importance metric value in each candidate feature includes:
determining the information of the feature to be selected according to the feature value of each training sample under the feature to be selected;
determining the heterogeneity information of the to-be-selected features according to the feature values of the training samples under the to-be-selected features and the corresponding classification labels;
and determining the importance metric of the candidate features according to the information of the candidate features and the heterogeneous information of the candidate features.
As a preferred technical solution of the present invention, the determining information of the candidate feature includes:
and determining the probability density corresponding to the characteristic value of each training sample under the characteristic to be selected, and calculating the information of the characteristic to be selected according to the probability density corresponding to the characteristic value of each training sample under the characteristic to be selected.
As a preferred technical solution of the present invention, the determining, in the large stone block sorting type, a target sorting property and a target sorting property value of a corresponding distribution area according to a target sorting property and a target property value corresponding to each type of large stone block in an order from a first type of large stone block to a second type of large stone block includes:
determining at least one screening path from a first type of large stone block to a second type of large stone block in the large stone block screening type, and a screening position contained in the screening path;
and determining data matched with the target screening attribute and the attribute value of each screening position in the large stone screening type according to the sequence from the first type of large stone to the second type of large stone in the large stone screening type and the target screening attribute and the attribute value corresponding to the screening position contained in the screening path aiming at the screening path so as to complete the large stone screening process.
As a preferred technical solution of the present invention, the method further includes:
according to the confirmed screening path, obtaining a screening sequence from the first large stone block to the second large stone block, determining data matched with each screening position in the large stone block screening type according to target screening attributes and attribute values corresponding to the screening positions in the screening path, and completing the large stone block screening process.
As a preferred technical solution of the present invention, the method further includes:
determining the state of each large stone block in the screening execution process, painting colors according to the preset screening execution state, confirming the distinguishing relation among various large stone block types, and obtaining the display color corresponding to each sub stone block in each large stone block;
and displaying each sub stone block in each large stone block according to a color table in a display end so as to distinguish different types of sub stone blocks.
As a preferred technical solution of the present invention, determining a display color corresponding to each sub-stone block in each large stone block includes:
selecting one impurity removal path from the screening paths, wherein the impurity removal path is communicated with the screening paths to remove impurities corresponding to the daughter stones and displaying colors;
conveying the sundries to an impurity removing path so as to completely discharge the sundries except the large stones.
Compared with the prior art, the invention has the beneficial effects that:
the invention realizes more efficient screening of various types of large stones, thereby further recycling, facilitating each type of large stones to be treated in a proper way in the subsequent recycling process, and improving the recycling rate of each type of large stones;
the screening is carried out to the impurity rubbish and the big stone of having still realized carrying out the omnidirectional with in the rubbish soil heap, realizes automatic screening, ensures that the big stone of screening play can not thoughtlessly have impurity rubbish.
Drawings
FIG. 1 is a flowchart of the overall steps of an embodiment of the present invention.
Figure 2 is a flow chart of the steps of determining a match to the target screening attributes and attribute values for each distribution zone based on the target screening attributes and attribute values corresponding to each type of boulder block in an embodiment of the present invention.
Figure 3 is a schematic diagram of the construction of a screening device according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of the inverter according to the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a method for screening large stones in garbage soil, which can more efficiently screen various types of large stones, thereby further recycling, improving the recycling rate of the large stones in the garbage soil, avoiding waste caused by uniform treatment, and simultaneously removing impurities outside the large stones. The screening method, according to what is shown in the attached figures 1-2, comprises in particular:
after a portion of large stones has been obtained from the heap of refuse soil, the type of each large stone is analyzed according to step 101. Each part of the large stone blocks is subjected to screening treatment immediately before treatment. Since the types of large stones in the waste soil are many, it is difficult to simultaneously perform the same process, and thus, it is necessary to sieve each type of large stones to process various types of large stones.
In order to conveniently identify or separate large stones from the waste soil heap during later identification and sorting, the images of all the large stones in the waste soil heap cannot be completely acquired after the images are acquired once because the impurity waste or the large stones in the waste soil heap have a plurality of surfaces, so that the images of the large stones in the waste soil heap need to be identified at another visual angle of the waste soil heap to basically acquire the full-visual-angle images of the waste soil heap.
Therefore, the acquisition of the omnibearing image of the waste soil heap is realized by turning the waste soil heap and respectively acquiring the image of the front side and the back side of the waste soil heap before and after the turning process.
Specifically, obtaining a characteristic value of each large stone block under a plurality of characteristics to be selected respectively, and a classification label corresponding to each large stone block; the determined features to be selected can be distinguished according to different large stone types, when the features to be selected are determined, all the features which possibly affect the feature output result in the current large stone pile can be determined as the features to be selected, and partial features can be selected as the features to be selected according to the features. As a plurality of impurity characteristics in a part of large stones are irrelevant to the characteristics to be selected, the impurity characteristics in the stone blocks need to be deleted, and the characteristics relevant to the characteristics to be selected are reserved.
And determining an importance metric value in each candidate feature. The importance metric of each candidate feature refers to the importance degree of each candidate feature in the classification.
And determining a plurality of feature sets according to the importance metric value of each feature to be selected. The importance metric value can represent the importance degree of each candidate feature in the classification graph, and not all the candidate feature pairs are beneficial to improving the performance of the classification graph. Redundant candidate features are used for influencing the speed of the classified graph, and less features lose important detail display and reduce the accuracy of the classified graph. Therefore, a plurality of feature sets can be determined, each feature set can include different features to be selected, and graph calculation is performed on the feature sets respectively to screen out an optimal feature set, so that the features to be selected included in the optimal feature set are determined as selected features.
And obtaining a classification graph by using the characteristic value of each training sample under each feature to be selected contained in the feature set and the classification label corresponding to each feature to be selected, obtaining the classification accuracy corresponding to the feature set, and determining the feature to be selected contained in the feature set with the highest classification accuracy as the selected feature.
For example, all of the multiple candidate features may be used as an initial feature set, and then one candidate feature with the smallest importance metric value in the initial feature set is removed to obtain a 2 nd feature set. And removing the feature to be selected with the minimum importance metric value in the 2 nd feature set to obtain a 3 rd feature set. And the analogy is carried out until the obtained feature set only comprises 1 candidate feature.
Determining the importance metric value in each candidate feature comprises determining the information of the candidate feature according to the feature value of each training sample under the candidate feature. And determining the probability density corresponding to the characteristic value of each calculation sample under any candidate characteristic. And calculating the information of the feature to be selected according to the probability density corresponding to the feature value of each training sample under the feature to be selected.
In addition, it is big stone or impurity rubbish to need to judge that what appears at first visual angle in the rubbish soil heap, judges afterwards that what the rubbish soil heap appears at second visual angle is big stone or impurity rubbish. And analyzing the judgment results of the two image identifications, and judging that the judgment result is a large stone block when the judgment results of the two image identifications are large stone blocks. And when one of the two judgment results is large stone and the other one is impurity garbage, judging the mixture to be large stone, and when the two judgment results are impurity garbage, judging the mixture to be impurity garbage.
And determining the heterogeneity information of the to-be-selected features according to the feature values of the training samples under the to-be-selected features and the corresponding classification labels. Aiming at the characteristic value of any training sample under the candidate characteristic: and determining the conditional probability and the joint probability of the characteristic value corresponding to each classification label. And determining the heterogeneity information of the to-be-selected features according to the conditional probability and the joint probability corresponding to the feature value of each training sample under the to-be-selected features.
And determining the importance metric of the candidate features according to the information of the candidate features and the heterogeneous information of the candidate features. Specifically, for any candidate feature, the difference between the information of the candidate feature and the heterogeneous information corresponding to the candidate feature is determined as the importance metric of the candidate feature.
The determining of the information of the candidate features includes determining probability density corresponding to the feature value of each training sample under the candidate features, and calculating the information of the candidate features according to the probability density corresponding to the feature value of each training sample under the candidate features.
According to the method, the importance metric value of each candidate feature is determined, then a plurality of feature sets are determined according to the importance metric value of each candidate feature, then the classification accuracy corresponding to each feature set is obtained, and the candidate feature contained in the feature set with the highest classification accuracy is determined as the selected feature, so that the selected feature can be determined from the candidate features in a targeted manner, and the type of each large stone block can be accurately analyzed.
According to step 102, distribution areas of various types for accommodating large stones are established, wherein each large stone corresponds to a respective type of distribution area, and different types of large stones are transported to the distribution area corresponding to the type of large stone, so that different types of large stones have already been set for the transport distribution area.
According to step 103, under the condition of obtaining the selection operation of a plurality of large stone screening types, determining the attribute value corresponding to each large stone screening type and the association relation among the large stone screening types. After the large stone type and the plurality of preset screening attributes of the large stone screening type are obtained, under the condition that selection operation of a worker for a plurality of target screening attributes in the plurality of preset screening attributes is received, attribute values corresponding to the target screening attributes selected by the worker and association relations among the target screening attributes are determined, so that the large stone screening type containing a plurality of screening conditions is constructed according to the plurality of target screening attributes and the association relations among the target screening attributes, and screening of the large stones is formed.
Specifically, after a plurality of relevant preset screening attributes in the large stone block types are determined, the preset screening attributes are displayed, so that a worker can select a plurality of target screening attributes from the large stone block types, and under the condition that all the large stone block types are difficult to distinguish, the target screening attributes can be rapidly determined, the large stone block screening meeting the requirements of the worker is achieved, and the desired large stone blocks are screened out.
The staff can select at least one target screening attribute in order to reach and be used for the screening of boulder type to obtain the screening mode of boulder, also can select a plurality of target screening attributes. If a plurality of target screening attributes are selected, multiple screening operations are required to be performed on the large stone block types according to the plurality of target screening attributes and the attribute values, so that the association relationship among the target screening attributes is required to be determined, and the precedence relationship of the multiple screening operations is determined when the large stone block types are subjected to the multiple screening operations according to the plurality of target screening attributes and the attribute values.
It should be noted that the target screening attribute in this embodiment specifically refers to a feature value to be met in the large stone block to be screened, and the attribute value refers to an attribute value corresponding to the target screening attribute selected by the worker as described above.
According to step 104, according to the sequence from the first type large stone block to the second type large stone block in the large stone block screening type, the target screening attribute and the attribute value corresponding to each type large stone block are determined to be matched with the target screening attribute and the attribute value of each distribution area, and the large stone block screening process is completed. Specifically, the result of matching the target screening attribute and the attribute value in the large stone block type with the target screening attribute and the attribute value in the distribution area may be determined according to the sequence from the first type large stone block to the second type large stone block in the large stone block type according to the target screening attribute and the attribute value corresponding to each type large stone block, and the result may be used as the screening result to complete the screening process.
The step 201 is to determine at least one screening path from the first type of large stone block to the second type of large stone block in the large stone block screening type and a screening position included in the screening path; according to step 202, for the screening path, according to the sequence from the first type of large stone block to the second type of large stone block in the large stone block screening type, determining data matched with the target screening attribute and the attribute value of each screening position in the large stone block screening type according to the target screening attribute and the attribute value corresponding to the screening position included in the screening path, so as to complete the large stone block screening process. In this step, after at least one screening route from the first type large stone block to the second type large stone block and the screening position included in each screening route are determined, for each screening route, a result matching the target screening attribute and the attribute value of each screening position in the large stone block type may be determined according to the sequence from the first type large stone block to the second type large stone block in the large stone block screening type and according to the target screening attribute and the attribute value corresponding to the screening position included in each screening route, and the result is used as the screening result corresponding to each screening position, thereby completing the screening process.
And taking the target screening attributes and the first large classified stone blocks and/or the second large classified stone blocks as contrastive analysis points, and determining the relationship among the screening types of the large stone blocks according to the incidence relationship among the target screening attributes and the corresponding relationship among the first large classified stone blocks and/or the second large classified stone blocks and the target screening attributes. Specifically, the large stone block types can be used as comparison analysis points, and the connection relationship between the large stone block types can be determined according to the relationship between the target screening attributes and the relationship between the first classified large stone block and/or the second classified large stone block and the target screening attributes. Therefore, whether a large classified stone block accurately corresponds to the target screening attribute or not can be distinguished, and screening errors are prevented.
And according to the confirmed screening path, obtaining a screening sequence from the first large stone block to the second large stone block, determining data matched with each screening position in the large stone block screening type according to the target screening attribute and the attribute value corresponding to the screening position contained in the screening path, and finishing the large stone block screening process. Since the screening process needs to be performed on a part of the sorted large stones in the process of screening the path, the screening order of the large stones of each type needs to be set. When the large stone blocks are located at the screening positions, the screening positions of the large stone blocks according to various types need to be determined, so that the data matched with each screening position in the large stone block screening types are determined according to the target screening attributes and attribute values, and then the large stone blocks of various types are conveyed according to the data matched with the screening positions.
Determining the state of each large stone block in the screening execution process, painting colors according to the preset screening execution state, confirming the distinguishing relation among various large stone block types, and obtaining the display color corresponding to each sub stone block in each large stone block; and displaying each sub stone block in each large stone block according to a color table in a display end so as to distinguish different types of sub stone blocks. In this way, the different types of sub-stone blocks can be distinguished, and screening and conveying of workers can be facilitated.
Determining the display color corresponding to each sub stone block in each large stone block, wherein the display color comprises selecting an impurity removal path from the screening paths, and the impurity removal path is communicated with the screening paths to remove impurities with the display color corresponding to the sub stone blocks; when the big stone of screening waste soil, often can be thoughtlessly have a lot of impurity, this part impurity can not be retrieved, consequently not scribbled the stone that the colour shows when the attitude and then can be judged as impurity, and this part impurity is carried debris to row miscellaneous route to with except that big stone debris are all discharged.
In addition, as shown in fig. 3 and fig. 4, the present embodiment further includes a screening device for separating various kinds of screened materials one by one, such as the impurity garbage and the large stone, which specifically includes:
the first camera 2 acquires a first visual angle image of the waste soil through the first camera 2.
And the turner 3 is used for turning the garbage soil heap subjected to the first visual angle image recognition so as to present a second visual angle. Then, a second camera 4 obtains a second visual angle image of the garbage soil pile after turning; then, the terminal processor 5 judges whether the garbage soil pile presents large stones or impurity garbage at the first visual angle. At a second point of view, it is likewise determined whether large stones or trash are present in the construction waste.
The turner 3 of this embodiment includes the support, is provided with drive shaft 31 on the support, and drive shaft 31 rotates and is connected with axle sleeve 32, and axle sleeve 32 outer wall circumference permutation has a plurality of drive bars 33, and the one end of drive bar 33 rotates and is connected with bull stick 34, and the one end of bull stick 34 rotates and is connected with carousel 35, and carousel 35 can drive shaft 31 and connect the material to the below of second conveyer belt 12 as the centre of a circle rotation.
The turn-over assembly also includes a flap (not shown) against which the turntable 35 is turned over to disengage from the flap and then reset. The rotary disc 35 rotates around the center of the driving shaft 31, and when one end of the rotary disc 35 abuts against the baffle, the rotary disc rotates, so that the screened objects are turned over.
Obtaining a judgment result according to the analysis of the two image identifications, and judging the stone block as a large stone block when the two judgment results are both large stone blocks; if one of the two judgment results is large stone and the other is impurity garbage, judging the mixture; and if the two judgment results are both impurity garbage, judging the impurity garbage.
The screen assemblies 6 of this embodiment are used to screen various types of large rocks or trash. The separation assembly comprises a first conveyor belt 11 and a second conveyor belt 12. The screened large rocks or trash are transferred from the slow speed first conveyor belt 11 to the fast speed second conveyor belt 12, increasing the distance between deliveries to facilitate subsequent identification and screening.
In an embodiment of the invention, the first camera 2 is aimed at a certain area above the second conveyor belt 12. When big stone or impurity rubbish got into the shooting scope of first camera 2, first camera 2 was shot to acquire the first visual angle image of screening thing.
Compared with the prior art, the invention realizes more efficient screening of various types of large stones, thereby further recycling, facilitating each type of large stones to be treated in a proper treatment mode in the subsequent recycling process, and improving the recycling rate of each type of large stones.
The screening is carried out to the impurity rubbish and the big stone of having still realized carrying out the omnidirectional with in the rubbish soil heap, realizes automatic screening, ensures that the big stone of screening play can not thoughtlessly have impurity rubbish.
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.
Claims (8)
1. A method for screening large rocks from waste soils, the method comprising:
after obtaining a part of large stones from the waste soil heap, analyzing the type of each large stone;
establishing distribution areas of types for accommodating various large stone blocks, wherein each large stone block corresponds to each distribution area of each type;
under the condition of obtaining the selection operation of a plurality of large stone screening types, determining an attribute value corresponding to each large stone screening type and an association relation among the large stone screening types;
according to the order from the big stone of first type to the big stone of second type, according to the target screening attribute and the attribute value that the big stone of every type corresponds in big stone screening type to confirm the target screening attribute and the attribute value in the distribution district that corresponds, accomplish big stone screening process.
2. The method according to claim 1, characterized in that said analyzing the type of each piece of large stone comprises:
acquiring a characteristic value of each large stone block under a plurality of characteristics to be selected respectively and a classification label corresponding to each large stone block;
determining an importance metric value in each feature to be selected, and determining a plurality of feature sets according to the importance metric value of each feature to be selected;
and obtaining a classification graph by using the characteristic value of each training sample under each feature to be selected contained in the feature set and the classification label corresponding to each feature to be selected, obtaining the classification accuracy corresponding to the feature set, and determining the feature to be selected contained in the feature set with the highest classification accuracy as the selected feature.
3. The method of claim 2, wherein determining an importance metric value in each candidate feature comprises:
determining the information of the feature to be selected according to the feature value of each training sample under the feature to be selected;
determining the heterogeneity information of the to-be-selected features according to the feature values of the training samples under the to-be-selected features and the corresponding classification labels;
and determining the importance metric of the candidate features according to the information of the candidate features and the heterogeneous information of the candidate features.
4. The method of claim 3, wherein the determining information of the candidate features comprises:
and determining the probability density corresponding to the characteristic value of each training sample under the characteristic to be selected, and calculating the information of the characteristic to be selected according to the probability density corresponding to the characteristic value of each training sample under the characteristic to be selected.
5. The method of claim 1, wherein the step of determining the target screening attributes and attribute values of the corresponding distribution area according to the target screening attributes and attribute values corresponding to each type of large stone block in the order from the first type of large stone block to the second type of large stone block in the large stone block screening type comprises:
determining at least one screening path from a first type of large stone block to a second type of large stone block in the large stone block screening type, and a screening position contained in the screening path;
and determining data matched with the target screening attribute and the attribute value of each screening position in the large stone screening type according to the sequence from the first type of large stone to the second type of large stone in the large stone screening type and the target screening attribute and the attribute value corresponding to the screening position contained in the screening path aiming at the screening path so as to complete the large stone screening process.
6. The method of claim 5, further comprising:
according to the confirmed screening path, obtaining a screening sequence from the first large stone block to the second large stone block, determining data matched with each screening position in the large stone block screening type according to target screening attributes and attribute values corresponding to the screening positions in the screening path, and completing the large stone block screening process.
7. The method of claim 1, further comprising:
determining the state of each large stone block in the screening execution process, painting colors according to the preset screening execution state, confirming the distinguishing relation among various large stone block types, and obtaining the display color corresponding to each sub stone block in each large stone block;
and displaying each sub stone block in each large stone block according to a color table in a display end so as to distinguish different types of sub stone blocks.
8. The method of claim 7, wherein determining the display color corresponding to each sub-block of each large block comprises:
selecting one impurity removal path from the screening paths, wherein the impurity removal path is communicated with the screening paths to remove impurities corresponding to the daughter stones and displaying colors;
conveying the sundries to an impurity removing path so as to completely discharge the sundries except the large stones.
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