CN115392939B - Hazardous waste tracing method based on retrieval comparison and matching degree calculation - Google Patents
Hazardous waste tracing method based on retrieval comparison and matching degree calculation Download PDFInfo
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- 239000002920 hazardous waste Substances 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000004364 calculation method Methods 0.000 title claims abstract description 18
- 239000002699 waste material Substances 0.000 claims abstract description 64
- 239000000126 substance Substances 0.000 claims description 6
- 239000000463 material Substances 0.000 claims description 4
- 230000005389 magnetism Effects 0.000 claims description 3
- 230000009965 odorless effect Effects 0.000 claims description 3
- 230000010365 information processing Effects 0.000 abstract description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 8
- 239000002910 solid waste Substances 0.000 description 6
- 238000012216 screening Methods 0.000 description 3
- 238000003723 Smelting Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- CWYNVVGOOAEACU-UHFFFAOYSA-N Fe2+ Chemical compound [Fe+2] CWYNVVGOOAEACU-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000004821 distillation Methods 0.000 description 1
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- 229910001385 heavy metal Inorganic materials 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 239000012452 mother liquor Substances 0.000 description 1
- 239000010813 municipal solid waste Substances 0.000 description 1
- 239000000575 pesticide Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 230000009257 reactivity Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 239000010802 sludge Substances 0.000 description 1
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Abstract
The invention belongs to the technical field of data information processing, and particularly relates to a hazardous waste traceability method based on retrieval comparison and matching degree calculation, which comprises the following steps of: s1, constructing a dangerous waste fingerprint characteristic database, wherein the database contains characteristic information of dangerous waste; s2, inputting corresponding retrieval conditions by a user, and matching corresponding characteristic information by the data according to the input retrieval conditions; s3, calculating the matching value of the corresponding hazardous waste according to the matched characteristic information; and S4, displaying the tracing result according to the sequence of the matching values from large to small. According to the method, a reasonable dangerous waste database is constructed, the database contains various characteristic information of dangerous waste, a user inputs corresponding retrieval conditions, the database can calculate the matching value of the dangerous waste, finally, the dangerous waste type to which unknown dangerous waste belongs can be screened out according to the matching value, the waste can be identified quickly, the dangerous waste can be traced quickly, and further follow-up decision is assisted.
Description
Technical Field
The invention belongs to the technical field of data information processing, and particularly relates to a dangerous waste tracing method based on retrieval contrast and matching degree calculation.
Background
With the rapid development of society, the amount of waste and garbage brought by the society is increasing day by day, especially the amount of dangerous waste generated in industrial production is as high as 3 hundred million and more tons every year around the world. The hazardous waste generally has one or more hazardous characteristics of corrosivity, toxicity, inflammability, reactivity or infectivity, etc., waste organic solvents, distillation waste liquids, etc. generated in the chemical field, mother liquor, waste salts, etc. generated in the pesticide field, scum, oily sludge, etc. generated in the petroleum field, dust, smelting waste residues, etc. generated in the non-ferrous metal smelting field. The hazardous wastes not only are harmful to the health of people, but also cause long-term damage to the environment, so that the reasonable disposal and scientific management of the hazardous wastes are extremely important.
In recent years, in the frequent solid waste, especially in the event of dumping the dangerous waste, the fast and accurate tracing and characteristic identification of the solid waste are great problems for the punishment identification and safe disposal of the event. However, the lack of rapid qualitative and accurate identification of hazardous waste generating sources and generating characteristic matches has greatly hindered the timely introduction of such interesting comprehensive management solutions for dumping events. Meanwhile, when the hazardous waste utilization and disposal unit receives the hazardous waste, due to the fact that the hazardous waste type accurate identification capacity is not enough, production safety accidents are easily caused, and risks of the hazardous waste disposal are easily caused by the excess capacity. Therefore, the traceability technology and method for establishing the database and developing the unidentified solid wastes have great significance for hitting solid wastes to dump, maintaining the ecological environment safety and preventing and controlling the risks in the solid wastes utilization and disposal process.
In addition, the technology for fine management of hazardous waste is weak, and therefore, it is urgently needed to provide a method for tracing the source of hazardous waste, which can obtain the estimated type and estimated characteristics of hazardous waste by using the relevant information of unknown waste in combination with a system for tracing the source of hazardous waste.
Disclosure of Invention
In order to solve the technical problem of difficult tracing of hazardous waste in the prior art, the invention provides a tracing method of hazardous waste based on retrieval contrast and matching degree calculation.
In order to realize the purpose, the technical scheme of the invention is as follows:
a hazardous waste traceability method based on retrieval contrast and matching degree calculation comprises the following steps:
s1, constructing a hazardous waste fingerprint characteristic database, wherein the database contains characteristic information of hazardous waste;
s2, a user inputs corresponding retrieval conditions, and the data are matched with corresponding feature information according to the input retrieval conditions;
s3, calculating the matching value of the corresponding hazardous waste according to the matched characteristic information;
and S4, displaying the source tracing result according to the sequence of the matching values from large to small.
Further, the database comprises a plurality of rows of information and a plurality of columns of information, wherein each row represents a hazardous waste and each column represents a characteristic information.
Further, the characteristic information comprises industry classification, waste category, physical form, shape, magnetism, smell, color, apparent appearance, substance composition, characteristic index and numerical index.
Further, when the retrieval condition input by the user belongs to a certain characteristic of industry classification, waste classification, physical form and shape, the user can only input one retrieval condition at a time;
and matching the retrieval condition with the characteristic information in the database, if the matching is successful, adding 1 to the matching value of the dangerous waste in the same row, and setting the matching value of the dangerous waste which is not successfully matched to be 0.
Further, when the retrieval condition input by the user is magnetic, directly selecting magnetic dangerous waste in the database, and screening out nonmagnetic dangerous waste; on the contrary, when the retrieval condition input by the user is nonmagnetic, nonmagnetic hazardous waste in the database is directly selected, and magnetic hazardous waste is screened out.
Further, when the retrieval condition input by the user belongs to the smell, firstly, odorless dangerous waste is removed, then the retrieval condition is subjected to text matching with the smell characteristic information in the database, and the matching degree is obtained and is a numerical value between 0 and 1. Specifically, matching is performed through keywords in the odor characteristic information.
Further, when the retrieval conditions input by the user belong to the characteristics of color, apparent morphology, material composition and characteristic indexes, the user needs to input all the retrieval conditions at one time;
after the user inputs, dangerous waste with empty retrieval conditions is removed, and then the matching degree is calculated.
Furthermore, the method for calculating the matching degree comprises the following steps: calculating the total number of search conditions N 0 Calculating the number N of search conditions successfully matched, wherein the matching degree is N and N 0 The ratio of (a) to (b).
Further, when the search condition input by the user is a numerical value, the matching degree f (x) is calculated by:
wherein the content of the first and second substances,xthe calculating method comprises the following steps:
the value input by the user is set as
The matched value is
Then, then
，
。
Further, after the retrieval is completed, the matching value of the matched hazardous waste is the sum of the matching values of each retrieval condition.
Compared with the prior art, the invention has the following beneficial effects:
according to the method, a reasonable dangerous waste database is constructed, the database contains various characteristic information of dangerous waste, a user inputs corresponding retrieval conditions, the database can calculate the matching value of the dangerous waste, finally, the dangerous waste type to which unknown dangerous waste belongs can be screened out according to the matching value, the waste can be identified quickly, the dangerous waste can be traced quickly, and further follow-up decision is assisted.
The method characterizes the matching of the hazardous waste through the matching value or the matching degree, can quantify the estimation result, and is visual and effective.
The invention adopts single mode input to the industry classification, waste classification, physical form and shape, namely only one retrieval condition can be input each time, and adopts multi-mode input to the color, apparent morphology, material composition and characteristic index, namely a plurality of retrieval conditions are input at one time, and the magnetic property and the smell are screened in a binaryzation mode, namely, the existence or the nonexistence of primary screening is adopted, and then the specific information is matched; the data can be rapidly screened, the running calculation amount of the database is effectively reduced, and the tracing speed is increased.
Aiming at the problem that numerical indexes are difficult to match, the matching degree is calculated in a quantitative mode by adopting the calculation of a matching function, and the matching accuracy of the database is increased.
Drawings
FIG. 1 is a tracing flow chart of the present invention.
Detailed Description
The technical solutions of the present invention will be described in detail with reference to the accompanying drawings, and it is obvious that the described embodiments are not all embodiments of the present invention, and all other embodiments obtained by those skilled in the art without any inventive work belong to the protection scope of the present invention.
The invention provides a dangerous waste tracing method based on retrieval contrast and matching degree calculation, which comprises the following steps of:
s1, constructing a dangerous waste fingerprint characteristic database, wherein the database contains characteristic information of dangerous waste; 1554 rows of information and 193 columns of information are included in the database, wherein each row represents one type of hazardous waste, namely 1554 types of hazardous waste are included in the database, and each column represents one piece of characteristic information. The characteristic information comprises industry classification, waste category, physical form, shape, magnetism, smell, color, apparent morphology, substance composition, characteristic index and numerical index. The numerical indexes comprise heavy metal content and the like, and the characteristic information further comprises a data source, a waste type, a solid waste name, a production link, waste description and the like.
S2, a user inputs corresponding retrieval conditions, and the data are matched with corresponding feature information according to the input retrieval conditions;
the user can directly input the corresponding dangerous waste name, the name string of the dangerous waste is matched with the name of the dangerous waste in the database, the string with the most overlapped string is the retrieval result, and the retrieval result is displayed on a front-end page for the user to refer to.
When the name and the type of the dangerous waste are uncertain, easily-acquired characteristic information of the dangerous waste can be acquired by utilizing the prior art and is used as a retrieval condition for retrieval so as to estimate the most possible name and the type of the dangerous waste.
When the retrieval condition input by the user belongs to a certain characteristic of industry classification, waste classification, physical form and shape, the user can only input one retrieval condition each time;
matching the retrieval condition with the characteristic information in the database, and if the matching is successful, adding 1 to the matching value of the hazardous waste in the same row, wherein the matching value of the hazardous waste with unsuccessful matching is 0.
When the retrieval condition input by the user is magnetic, directly selecting magnetic dangerous waste in the database, and screening out nonmagnetic dangerous waste; on the contrary, when the retrieval condition input by the user is nonmagnetic, nonmagnetic hazardous waste in the database is directly selected, and magnetic hazardous waste is screened out.
When the retrieval condition input by the user belongs to odor, firstly, odorless dangerous waste is removed, and then the retrieval condition is subjected to text matching with odor characteristic information in a database to obtain a matching degree, wherein the matching degree is a numerical value between 0 and 1. Specifically, the keywords in the smell characteristic information are extracted for matching, and if the number of the keywords is multiple, the ratio of the number of the keywords which are the same as the search condition to all the keywords in the multiple keywords is the matching degree.
When the retrieval conditions input by the user belong to the characteristics of color, apparent morphology, material composition and characteristic indexes, the user needs to input all the retrieval conditions at one time;
after the user inputs, dangerous waste with empty retrieval conditions is removed, and then the matching degree is calculated.
The matching degree calculation method comprises the following steps: calculating the total number of search conditions N 0 Calculating the number N of search conditions successfully matched, wherein the matching degree is N and N 0 Is measured in the measurement. For example, the search condition input by the user has 3 search conditions, and only two of the search conditions are successfully matched, the matching degree is 2/3.
When the retrieval condition input by the user is a numerical value, the calculation method of the matching degree f (x) is as follows:
wherein, the first and the second end of the pipe are connected with each other,xthe calculation method comprises the following steps:
the value input by the user is set as
The matched value is
Then, then
，
. When the user-entered value is equal to the matching value,
then the matching degree is 1, when the user inputsWhen the value of the input does not match the corresponding value,
and taking the value of 0, wherein x is 0 and the matching degree is 0.
For example, when the value input by the user belongs to the characteristic of the water content, each dangerous waste in the corresponding database also has corresponding water content data, and the matching value of the water content of each dangerous waste is calculated. If the water content input by the user is 50%, and if 80 wastes are contained in the database, the database corresponds to 80 water content values, the comparison calculation is carried out by comparing the input water content 50% with the 80 water content values, if the water content corresponding to the wastes is empty, the matching value is 0, and finally 80 matching degrees are obtained.
And obtaining a final matching value according to the feature information and the calculation of the matching value, wherein the rest feature information does not participate in the calculation of the matching value and is only used as information data.
S3, calculating the matching value of the corresponding hazardous waste according to the matched characteristic information; after the user inputs all the retrieval conditions, the database calculates the matching values of the matched dangerous wastes, and the final matching value is the sum of the matching values or the matching degrees of each retrieval condition.
And S4, displaying the source tracing result according to the sequence of the matching values from large to small. The dangerous waste with the largest matching value is the dangerous waste type to which the unknown waste is most likely to belong, and the possibility is gradually reduced along with the reduction of the matching value.
Although the present invention has been described in detail with reference to examples, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the present invention.
Claims (4)
1. A dangerous waste tracing method based on retrieval contrast and matching degree calculation is characterized by comprising the following steps:
s1, constructing a dangerous waste fingerprint characteristic database, wherein the database contains characteristic information of dangerous waste;
s2, a user inputs corresponding retrieval conditions, and the data are matched with corresponding feature information according to the input retrieval conditions;
s3, calculating the matching value of the corresponding hazardous waste according to the matched characteristic information;
s4, displaying the source tracing result according to the sequence of the matching values from large to small;
the database comprises a plurality of rows of information and a plurality of columns of information, wherein each row represents a hazardous waste, and each column represents a piece of characteristic information;
the characteristic information comprises industry classification, waste category, physical form, shape, magnetism, smell, color, apparent morphology, substance composition, characteristic index and numerical index;
when the retrieval conditions input by the user belong to the characteristics of color, apparent morphology, material composition and characteristic indexes, the user needs to input all the retrieval conditions at one time;
after the user inputs the data, firstly eliminating dangerous wastes with empty retrieval conditions, and then calculating the matching degree;
the matching degree calculation method comprises the following steps: calculating the total number of search conditions N 0 Calculating the number N of search conditions successfully matched, wherein the matching degree is N and N 0 The ratio of (a) to (b);
when the search condition input by the user is a numerical value, the matching degreef（x）The calculating method comprises the following steps:
wherein the content of the first and second substances,xthe calculation method comprises the following steps:
the numerical value input by the user is set as
The matched value is
Then, then
，
；
And after the retrieval is completed, the matching value of the matched hazardous waste is the sum of the matching value or the matching degree of each retrieval condition.
2. The hazardous waste traceability method of claim 1, wherein when the retrieval condition inputted by the user belongs to a certain characteristic of industry classification, waste category, physical form and shape, the user can only input one retrieval condition at a time;
matching the retrieval condition with the characteristic information in the database, and if the matching is successful, adding 1 to the matching value of the hazardous waste in the same row, wherein the matching value of the hazardous waste with unsuccessful matching is 0.
3. The hazardous waste tracing method of claim 1, wherein when the retrieval condition input by the user is magnetic, the magnetic hazardous waste in the database is directly selected, and the nonmagnetic hazardous waste is screened out; on the contrary, when the retrieval condition input by the user is nonmagnetic, nonmagnetic hazardous waste in the database is directly selected, and magnetic hazardous waste is screened out.
4. The hazardous waste tracing method of claim 1, wherein when the retrieval condition input by the user belongs to odor, firstly, odorless hazardous waste is removed, and then the retrieval condition is text-matched with odor feature information in the database to obtain a matching degree, wherein the matching degree is a numerical value between 0 and 1.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102661939A (en) * | 2012-05-15 | 2012-09-12 | 北京化工大学 | Method for rapidly tracing to water pollution source |
| CN110288498A (en) * | 2019-05-15 | 2019-09-27 | 重庆立洋环保科技发展有限公司 | A kind of management method of hazardous waste Life cycle |
| CN110348866A (en) * | 2019-07-12 | 2019-10-18 | 上海循康建筑科技有限公司 | A kind of method and system and computer readable storage medium of environmental protection finishing |
| CN113313399A (en) * | 2021-06-08 | 2021-08-27 | 台州南水环保科技有限公司 | Underground water pollution tracing method based on characteristic pollutant source analysis |
| CN113533638A (en) * | 2021-05-24 | 2021-10-22 | 柳州东风容泰化工股份有限公司 | Finished product detection method and system for special chemicals |
| CN115114352A (en) * | 2022-08-25 | 2022-09-27 | 深圳市华云中盛科技股份有限公司 | Rapid analysis management system for typical pollutants |
| CN115186644A (en) * | 2022-07-22 | 2022-10-14 | 重庆立洋环保科技发展有限公司 | Hazardous waste label generation method, device and system and storage medium |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006323575A (en) * | 2005-05-18 | 2006-11-30 | Oki Electric Ind Co Ltd | Document retrieval system, document retrieval method, document retrieval program and recording medium |
| CN107958007B (en) * | 2016-10-18 | 2022-03-29 | 浙江格林蓝德信息技术有限公司 | Case information retrieval method and device |
| CN106980870B (en) * | 2016-12-30 | 2020-07-28 | 中国银联股份有限公司 | Method for calculating text matching degree between short texts |
| US11422995B1 (en) * | 2021-02-11 | 2022-08-23 | Talenya Ltd. | Enhanced database and user interface incorporating predicted missing data |
-
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- 2022-10-28 CN CN202211331030.1A patent/CN115392939B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102661939A (en) * | 2012-05-15 | 2012-09-12 | 北京化工大学 | Method for rapidly tracing to water pollution source |
| CN110288498A (en) * | 2019-05-15 | 2019-09-27 | 重庆立洋环保科技发展有限公司 | A kind of management method of hazardous waste Life cycle |
| CN110348866A (en) * | 2019-07-12 | 2019-10-18 | 上海循康建筑科技有限公司 | A kind of method and system and computer readable storage medium of environmental protection finishing |
| CN113533638A (en) * | 2021-05-24 | 2021-10-22 | 柳州东风容泰化工股份有限公司 | Finished product detection method and system for special chemicals |
| CN113313399A (en) * | 2021-06-08 | 2021-08-27 | 台州南水环保科技有限公司 | Underground water pollution tracing method based on characteristic pollutant source analysis |
| CN115186644A (en) * | 2022-07-22 | 2022-10-14 | 重庆立洋环保科技发展有限公司 | Hazardous waste label generation method, device and system and storage medium |
| CN115114352A (en) * | 2022-08-25 | 2022-09-27 | 深圳市华云中盛科技股份有限公司 | Rapid analysis management system for typical pollutants |
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