CN110490423B - Waste battery pollution evaluation method and device, readable storage medium and server - Google Patents
Waste battery pollution evaluation method and device, readable storage medium and server Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims abstract description 164
- 239000010926 waste battery Substances 0.000 title claims abstract description 33
- 229910001385 heavy metal Inorganic materials 0.000 claims abstract description 142
- 238000011084 recovery Methods 0.000 claims abstract description 65
- 238000000034 method Methods 0.000 claims abstract description 21
- 238000012544 monitoring process Methods 0.000 claims description 55
- 201000010099 disease Diseases 0.000 claims description 22
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 22
- 238000012545 processing Methods 0.000 claims description 15
- 239000002689 soil Substances 0.000 claims description 9
- 239000003673 groundwater Substances 0.000 claims description 8
- 238000011109 contamination Methods 0.000 claims 1
- 238000004064 recycling Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 5
- 229910052753 mercury Inorganic materials 0.000 description 5
- 239000013598 vector Substances 0.000 description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 4
- 230000009471 action Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 229910052748 manganese Inorganic materials 0.000 description 4
- 239000011572 manganese Substances 0.000 description 4
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 description 2
- HCHKCACWOHOZIP-UHFFFAOYSA-N Zinc Chemical compound [Zn] HCHKCACWOHOZIP-UHFFFAOYSA-N 0.000 description 2
- 229910052793 cadmium Inorganic materials 0.000 description 2
- BDOSMKKIYDKNTQ-UHFFFAOYSA-N cadmium atom Chemical compound [Cd] BDOSMKKIYDKNTQ-UHFFFAOYSA-N 0.000 description 2
- 229910052804 chromium Inorganic materials 0.000 description 2
- 239000011651 chromium Substances 0.000 description 2
- 229910052742 iron Inorganic materials 0.000 description 2
- WPBNNNQJVZRUHP-UHFFFAOYSA-L manganese(2+);methyl n-[[2-(methoxycarbonylcarbamothioylamino)phenyl]carbamothioyl]carbamate;n-[2-(sulfidocarbothioylamino)ethyl]carbamodithioate Chemical compound [Mn+2].[S-]C(=S)NCCNC([S-])=S.COC(=O)NC(=S)NC1=CC=CC=C1NC(=S)NC(=O)OC WPBNNNQJVZRUHP-UHFFFAOYSA-L 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 229910052725 zinc Inorganic materials 0.000 description 2
- 239000011701 zinc Substances 0.000 description 2
- 241000282414 Homo sapiens Species 0.000 description 1
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- WJZHMLNIAZSFDO-UHFFFAOYSA-N manganese zinc Chemical compound [Mn].[Zn] WJZHMLNIAZSFDO-UHFFFAOYSA-N 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/30—Administration of product recycling or disposal
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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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 invention belongs to the technical field of computers, and particularly relates to a waste battery pollution evaluation method and device, a computer readable storage medium and a server. The method comprises the steps of respectively obtaining evaluation information of an area to be evaluated in each evaluation dimension from a preset terminal equipment cluster, wherein the evaluation information comprises total battery sales, total battery recovery, statistics of heavy metal content, statistics of patients with excessive heavy metal and total heavy metal recovery; each reference set is respectively obtained from a preset database, wherein each reference set corresponds to one pollution degree type, and each reference set comprises evaluation information of more than one reference region; calculating the difference degree between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region; and determining the pollution degree type of the region to be evaluated according to the difference degree between each reference set and the region to be evaluated.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a waste battery pollution evaluation method and device, a computer readable storage medium and a server.
Background
In recent years, the influence of waste batteries on the environment has become one of the hot topics of domestic media. Scientific investigation shows that a battery can pollute 60 million liters of water after being abandoned, which is equivalent to the water consumption of a person for a lifetime, and China consumes 70 hundred million batteries each year. It is known that 96% of the cells produced in China are zinc-manganese cells and alkaline-manganese cells, and contain a large amount of heavy metal components. The heavy metal components of the waste battery can overflow along with the seepage liquid no matter the waste battery is in the atmosphere or buried in the ground, so that the pollution of underground water and soil is caused, and the health of human beings can be seriously endangered in the daily accumulation of months.
In order to treat the pollution of the waste battery to the environment, the pollution condition of the waste battery in each region is firstly accurately evaluated, but in the existing evaluation method, the evaluation result is often obtained by analyzing data with single dimension, the accuracy of the obtained result is low, and the targeted treatment measures are difficult to be adopted in each region.
Disclosure of Invention
In view of the above, the embodiments of the present invention provide a method, an apparatus, a computer-readable storage medium, and a server for evaluating pollution of a waste battery, so as to solve the problem that in the existing evaluation method, an evaluation result is often obtained by analyzing data with a single dimension, the accuracy of the obtained result is low, and it is difficult to take targeted treatment measures according to the result.
A first aspect of an embodiment of the present invention provides a method for evaluating pollution of a waste battery, which may include:
respectively acquiring evaluation information of an area to be evaluated in each evaluation dimension from a preset terminal equipment cluster, wherein the evaluation information comprises total battery sales, total battery recovery, heavy metal content statistics, statistics of patients with excessive heavy metal and total heavy metal recovery, and the terminal equipment cluster comprises terminal equipment groups, wherein each terminal equipment group is used for acquiring the evaluation information in one evaluation dimension;
each reference set is respectively obtained from a preset database, wherein each reference set corresponds to one pollution degree type, and each reference set comprises evaluation information of more than one reference region;
calculating the difference degree between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region;
and determining the pollution degree type of the region to be evaluated according to the difference degree between each reference set and the region to be evaluated.
A second aspect of an embodiment of the present invention provides a waste battery pollution evaluation device, which may include:
the system comprises an evaluation information acquisition module, a storage module and a storage module, wherein the evaluation information acquisition module is used for respectively acquiring evaluation information of an area to be evaluated in each evaluation dimension from a preset terminal equipment cluster, the evaluation information comprises total battery sales, total battery recovery, heavy metal content statistics, heavy metal exceeding patient statistics and total heavy metal recovery, the terminal equipment cluster comprises terminal equipment groups, and each terminal equipment group is used for acquiring the evaluation information in one evaluation dimension;
the reference set acquisition module is used for respectively acquiring each reference set from a preset database, wherein each reference set corresponds to one pollution degree type and comprises evaluation information of more than one reference region;
the difference degree calculation module is used for calculating the difference degree between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region;
and the pollution degree type determining module is used for determining the pollution degree type of the region to be evaluated according to the difference degree between each reference set and the region to be evaluated.
A third aspect of embodiments of the present invention provides a computer readable storage medium storing computer readable instructions which when executed by a processor perform the steps of:
respectively acquiring evaluation information of an area to be evaluated in each evaluation dimension from a preset terminal equipment cluster, wherein the evaluation information comprises total battery sales, total battery recovery, heavy metal content statistics, statistics of patients with excessive heavy metal and total heavy metal recovery, and the terminal equipment cluster comprises terminal equipment groups, wherein each terminal equipment group is used for acquiring the evaluation information in one evaluation dimension;
each reference set is respectively obtained from a preset database, wherein each reference set corresponds to one pollution degree type, and each reference set comprises evaluation information of more than one reference region;
calculating the difference degree between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region;
and determining the pollution degree type of the region to be evaluated according to the difference degree between each reference set and the region to be evaluated.
A fourth aspect of the embodiments of the present invention provides a server comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, the processor executing the computer readable instructions to perform the steps of:
respectively acquiring evaluation information of an area to be evaluated in each evaluation dimension from a preset terminal equipment cluster, wherein the evaluation information comprises total battery sales, total battery recovery, heavy metal content statistics, statistics of patients with excessive heavy metal and total heavy metal recovery, and the terminal equipment cluster comprises terminal equipment groups, wherein each terminal equipment group is used for acquiring the evaluation information in one evaluation dimension;
each reference set is respectively obtained from a preset database, wherein each reference set corresponds to one pollution degree type, and each reference set comprises evaluation information of more than one reference region;
calculating the difference degree between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region;
and determining the pollution degree type of the region to be evaluated according to the difference degree between each reference set and the region to be evaluated.
Compared with the prior art, the embodiment of the invention has the beneficial effects that: according to the method, firstly, evaluation information of an area to be evaluated in each evaluation dimension is obtained from a preset terminal equipment cluster, the evaluation information comprises evaluation dimensions such as battery sales total amount, battery recovery total amount, heavy metal content statistical value, heavy metal exceeding patient statistical value and heavy metal recovery total amount, the terminal equipment cluster comprises terminal equipment groups, each terminal equipment group is used for obtaining the evaluation information in one evaluation dimension, then each reference set is obtained from a preset database, each reference set corresponds to one pollution degree type, each reference set comprises evaluation information of more than one reference area, and the pollution degree type of the area to be evaluated can be determined by calculating the difference degree between each reference set and the area to be evaluated. According to the embodiment of the invention, the evaluation information is acquired from different evaluation dimensions through each terminal equipment group in the terminal equipment cluster, comprehensive data basis is provided for evaluating the region to be evaluated by using the evaluation information on each evaluation dimension, and reference standard is provided for evaluating the region to be evaluated by using each reference set.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of an embodiment of a method for evaluating pollution of a waste battery according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of respectively acquiring evaluation information of an area to be evaluated in each evaluation dimension from a preset terminal device cluster;
FIG. 3 is a block diagram showing an embodiment of a waste battery pollution evaluation device according to an embodiment of the present invention;
fig. 4 is a schematic block diagram of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an embodiment of a method for evaluating pollution of a waste battery according to an embodiment of the present invention may include:
step S101, respectively acquiring evaluation information of the region to be evaluated in each evaluation dimension from a preset terminal equipment cluster.
In order to evaluate the pollution condition of the waste battery in the area to be evaluated as comprehensively and accurately as possible, it is necessary to collect evaluation information in each evaluation dimension related to the waste battery in the area as much as possible, wherein the evaluation information includes, but is not limited to, total sales of battery, total recovery of battery, statistics of heavy metal content, statistics of patients with excessive heavy metal, total recovery of heavy metal, and the like. The terminal equipment cluster comprises terminal equipment groups, and each terminal equipment group is used for acquiring evaluation information in one evaluation dimension. For example, all the terminal devices for performing the battery sales records may be configured as one terminal device group, all the terminal devices for performing the battery recovery records may be configured as one terminal device group, all the terminal devices for performing the heavy metal content monitoring may be configured as one terminal device group, all the terminal devices for performing the heavy metal out-of-standard patient monitoring may be configured as one terminal device group, and all the terminal devices for performing the heavy metal recovery records may be configured as one terminal device group, which together constitute the terminal device cluster.
As shown in fig. 2, step S101 may specifically include the following procedures:
and step S1011, receiving the battery sales records sent by each first terminal in the region to be evaluated, and counting the total battery sales according to the battery sales records.
The first terminal is a terminal device for performing battery sales records.
Specifically, in this embodiment, a server for evaluating pollution conditions of the waste battery, that is, an implementation main body of this embodiment, is preset, communication connection between the server and sales terminals (that is, first terminals) of merchants (such as supermarkets, sales sites, convenience stores, etc.) for selling the battery is pre-established, each time a battery selling action occurs, the sales terminals send a current battery selling record to the server, and the server counts battery selling records received within a certain predetermined period (that is, an evaluation period may be set to one month, one quarter, one half year, one year, etc.), so as to obtain the total battery selling amount.
And step S1012, receiving battery recycling records sent by each second terminal in the region to be evaluated, and counting the total battery recycling amount according to the battery recycling records.
And the second terminal is a terminal device for performing battery recycling record.
Specifically, the recovery terminal (i.e., the second terminal) of each site for recovering the battery also establishes communication connection with the server in advance, and each time a battery recovery action occurs, the recovery terminal sends the battery recovery record of this time to the server, and the server calculates the battery recovery record received in a predetermined time period to obtain the total battery recovery amount.
And step S1013, receiving heavy metal content monitoring records sent by all third terminals in the region to be evaluated, and calculating the heavy metal content statistical value according to the heavy metal content monitoring records.
And the third terminal is terminal equipment for monitoring the heavy metal content.
Specifically, a plurality of monitoring points can be established in advance in the region to be evaluated, the heavy metal pollution conditions of soil and groundwater in the region where the monitoring points are located are monitored, and main monitoring data are the contents of various heavy metals such as manganese, mercury, zinc, cadmium, lead, chromium and the like in waste batteries in the soil and groundwater.
In order to ensure the accuracy of the monitoring data, the influence of certain special cases or emergency situations on the final result is stopped, the number of monitoring points in the region to be evaluated is increased as much as possible, and the uniform distribution of the monitoring points is ensured. For each monitoring point, sampling should be performed for multiple times in one evaluation period, for example, if the evaluation period is one year, data sampling may be performed every month, so as to obtain 12 heavy metal content monitoring records. Every time a data acquisition action occurs, the terminal equipment (namely the third terminal) of the monitoring point can send the heavy metal content monitoring records to the server, and after the server receives the heavy metal content monitoring records, the heavy metal content statistical value can be calculated according to the following formula:
wherein h is the serial number of various heavy metals, h is 1-1 HN, HN is the total number of various heavy metals, p is the serial number of each preset monitoring point, p is 1-1 PN, PN is the total number of monitoring points in the region to be evaluated, each monitoring point is provided with a third terminal, T is the serial number of each heavy metal content monitoring record, T is 1-1T, T is the total number of heavy metal content monitoring records, and HvMetal is provided with a third terminal h,p,t In order to monitor the content of the ith heavy metal in soil or groundwater in the t-th heavy metal content record sent by the p-th third terminal, the p-th third terminal is a third terminal set at the p-th monitoring point, and PopWt is a third terminal set at the p-th monitoring point h,p For the weight coefficient of the p-th monitoring point, in general, the positive correlation between the weight coefficient and the population density around the corresponding monitoring point can be set, i.e. the greater the population density, the greater the weight coefficient, whereas the smaller the population density, the smaller the weight coefficient, and StHvMetal h And counting the content of the h heavy metal in the region to be evaluated.
And step 1014, receiving the medical records of the patients with the excessive heavy metal sent by each fourth terminal in the region to be evaluated, and calculating the statistical value of the patients with the excessive heavy metal according to the medical records of the patients with the excessive heavy metal.
The fourth terminal is a terminal device for monitoring patients with heavy metal exceeding standards.
Specifically, communication connection between the server and the medical terminals (i.e., the fourth terminal) of each hospital can be established in advance, each time a patient with heavy metal exceeding standard is received by the hospital, the medical terminals can send the medical records of this time to the server, and the server can count the medical records received in the evaluation period to obtain data of the patient with heavy metal exceeding standard in each region.
In order to avoid repeated statistics on the same patient, each medical record carries an identity (such as an identity card number, a medical insurance card number and the like) of the patient, after a new medical record is received, firstly, whether the medical record with the same identity exists in a database is searched according to the identity of the new medical record, if the medical record with the same identity does not exist, the medical record is directly stored, if the medical record with the same identity exists, the disease grade in the medical record is compared with the disease grade in the database, the medical record with the higher disease grade is reserved, and the medical record with the higher disease grade is deleted.
In the scheme, patients with excessive heavy metal are divided into a plurality of disease grades, for example, the patients can be divided into 1 grade, 2 grade, 3 grade, 4 grade and the like in sequence from high to low according to the severity of the disease. The server counts the number of patients of each grade respectively, and then calculates the statistics value of patients with heavy metal exceeding the standard according to the following formula:
wherein c is the serial number of each preset disease grade, c is more than or equal to 1 and less than or equal to CN, CN is the total number of disease grades, and ClassWt c The weight coefficient of the c disease level is as follows: classWt c >ClassWt c+1 ，0<ClassWt c <1，Patient c And (3) taking the total number of patients with the heavy metal exceeding the disease level of the c in the medical records of the patients with the heavy metal exceeding the disease level as the population total number of the region to be evaluated, and taking StPatent as the statistics value of the patients with the heavy metal exceeding the disease level of the region to be evaluated.
And step S1015, receiving heavy metal recovery records sent by each fifth terminal in the region to be evaluated, and counting the total heavy metal recovery amount according to the heavy metal recovery records.
And the fifth terminal is terminal equipment for carrying out heavy metal recovery record.
Specifically, communication connection between the server and the terminal devices (i.e., the fifth terminal) of each chemical plant may be pre-established, and each time a re-usable heavy metal recovery action occurs, the terminal device may send the current heavy metal recovery record to the server, and the server may count the heavy metal recovery records received in a predetermined period of time, so as to obtain the total recovery amount of each heavy metal. Such reusable heavy metals include, but are not limited to, iron, manganese, mercury, zinc, cadmium, lead, chromium, and the like.
After the above-described collection of evaluation information on the respective evaluation dimensions related to the waste battery is completed, an evaluation vector of the region to be evaluated as shown below may be constructed from these evaluation information:
BatVec＝(Val 1 ,Val 2 ,Val 3 ,...,Val v ,...Val VN )
wherein v is the serial number of each preset evaluation dimension, v is not less than 1 and not more than VN, VN is the total number of the evaluation dimensions, val v And taking the value of the evaluation information of the region to be evaluated in the v-th evaluation dimension, wherein BatVec is the evaluation vector of the region to be evaluated.
For example, in one specific implementation of this embodiment, 13 evaluation dimensions, that is, the total sales amount of the battery (SaleNum), the total recovery amount of the battery (RecNum), the statistical value of the soil manganese content (StMn 1), the statistical value of the soil mercury content (StHg 1), the statistical value of the soil lead content (StPb 1), the statistical value of the groundwater manganese content (StMn 2), the statistical value of the groundwater mercury content (StHg 2), the statistical value of the groundwater lead content (StPb 2), the statistical value of the patients with excessive heavy metals (sturtient), the total recovery amount of iron (RecFe), the total recovery amount of manganese (RecMn), the total recovery amount of mercury (RecHg), and the total recovery amount of lead (RecPb), are selected, the evaluation vectors of the final configuration are:
BatVec＝(SaleNum,RecNum,StMn1,StHg1,StPb1,StMn2,StHg2,StPb2,StPatient,RecFe,RecMn,RecHg,RecPb)。
step S102, each reference set is obtained from a preset database.
Wherein, each reference set corresponds to a pollution degree type, and each reference set comprises evaluation information of more than one reference region.
In this embodiment, the pollution condition of the waste battery may be classified into a plurality of types, and in a specific implementation, the pollution condition may be classified into four types of pollution levels, i.e., an environment-friendly type, a light pollution type, a medium pollution type, and a heavy pollution type, according to the severity of pollution.
In order to provide reliable basis for the subsequent evaluation of the pollution condition of the waste battery in each area, in this embodiment, an expert will select various types of typical data as reference databases, i.e. make manual labeling, from the historical records of each past area (i.e. reference area) as evaluation reference, where the same type of data forms a reference set, each type of reference set contains evaluation information of several groups of reference areas, and the reference set is also constructed in the form of an evaluation vector as shown in the following:
HsBatVec k,m ＝(HsVal k,m,1 ,HsVal k,m,2 ,HsVal k,m,3 ,...,HsVal k,m,v ,...HsVal k,m,VN )
wherein k is the serial number of the pollution degree type, k is more than or equal to 1 and less than or equal to KN, KN is the total number of the pollution degree type, M is the serial number of each reference area, and M is more than or equal to 1 and less than or equal to M k ，M k The kth reference set is a reference set corresponding to the kth pollution degree type, hsVal, which is the total number of reference regions included in the kth reference set k,m,v HsBatVec is the value of the evaluation information in the v-th evaluation dimension with the m-th reference region in the k-th reference set k,m For the kth reference setAnd (5) evaluating vector of the m-th reference region in the total.
Step S103, calculating the difference degree between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region.
Specifically, the degree of difference between each reference set and the region to be evaluated may be calculated according to the following equation:
wherein VecDis k Weight for the degree of difference between the kth reference set and the region under evaluation k,v Weight coefficients for the v-th evaluation dimension in the k-th reference set, and:
and step S104, determining the pollution degree type of the region to be evaluated according to the difference degree between each reference set and the region to be evaluated.
Specifically, the type of pollution level corresponding to the reference set with the smallest difference between the regions to be evaluated may be determined as the type of pollution level of the regions to be evaluated, that is:
PolType＝argmin(VecDis 1 ,VecDis 2 ,...,VecDis k ,...,VecDis KN )
wherein argmin is the minimum independent variable function, and PolType is the finally determined sequence number of the pollution degree type of the region to be evaluated.
In summary, in the embodiment of the present invention, first, evaluation information of an area to be evaluated in each evaluation dimension is obtained from a preset terminal device cluster, where the evaluation information includes a total sales amount of a battery, a total recycling amount of a battery, a statistical value of a heavy metal content, a statistical value of a patient with excessive heavy metal, a total recycling amount of heavy metal, and the like, the terminal device cluster includes each terminal device group, each terminal device group is used to obtain evaluation information in one evaluation dimension, and then each reference set is obtained from a preset database, where each reference set corresponds to one pollution degree type, and each reference set includes evaluation information of more than one reference area, and the pollution degree type of the area to be evaluated can be determined by calculating the difference between each reference set and the area to be evaluated. According to the embodiment of the invention, the evaluation information is acquired from different evaluation dimensions through each terminal equipment group in the terminal equipment cluster, comprehensive data basis is provided for evaluating the region to be evaluated by using the evaluation information on each evaluation dimension, and reference standard is provided for evaluating the region to be evaluated by using each reference set.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
Fig. 3 is a diagram showing an embodiment of a waste battery pollution evaluation device according to an embodiment of the present invention, corresponding to a waste battery pollution evaluation method described in the above embodiments.
In this embodiment, a waste battery pollution evaluation device may include:
the evaluation information acquisition module 301 is configured to acquire, from a preset terminal device cluster, evaluation information of an area to be evaluated in each evaluation dimension, where the evaluation information includes a total battery sales amount, a total battery recovery amount, a heavy metal content statistical value, a heavy metal exceeding patient statistical value, and a total heavy metal recovery amount, and the terminal device cluster includes each terminal device group, where each terminal device group is configured to acquire evaluation information in one evaluation dimension;
the reference set obtaining module 302 is configured to obtain each reference set from a preset database, where each reference set corresponds to a pollution level type, and each reference set includes evaluation information of more than one reference region;
a difference calculating module 303, configured to calculate a difference between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region;
the pollution degree type determining module 304 is configured to determine a pollution degree type of the region to be evaluated according to a difference degree between each reference set and the region to be evaluated.
Further, the evaluation information acquisition module may include:
the first processing unit is used for receiving the battery sales records sent by each first terminal in the region to be evaluated, counting the total battery sales according to the battery sales records, wherein the first terminals are terminal equipment for performing the battery sales records;
the second processing unit is used for receiving battery recovery records sent by each second terminal in the region to be evaluated, counting the total battery recovery amount according to the battery recovery records, and the second terminals are terminal equipment for performing battery recovery records;
the third processing unit is used for receiving the heavy metal content monitoring records sent by each third terminal in the region to be evaluated, calculating the heavy metal content statistical value according to the heavy metal content monitoring records, and the third terminals are terminal equipment for monitoring the heavy metal content;
the fourth processing unit is used for receiving the medical records of the patients with the excessive heavy metal sent by each fourth terminal in the region to be evaluated, calculating the statistical values of the patients with the excessive heavy metal according to the medical records of the patients with the excessive heavy metal, and the fourth terminals are terminal equipment for monitoring the patients with the excessive heavy metal;
and the fifth processing unit is used for receiving the heavy metal recovery records sent by each fifth terminal in the region to be evaluated, counting the total heavy metal recovery amount according to the heavy metal recovery records, and the fifth terminals are terminal equipment for carrying out the heavy metal recovery records.
Further, the third processing unit may include:
the heavy metal content statistical value calculation unit is used for calculating the heavy metal content statistical value according to the following formula:
wherein h is the serial number of various heavy metals, h is 1-1 HN, HN is the total number of various heavy metals, p is the serial number of each preset monitoring point, p is 1-1 PN, PN is the total number of monitoring points in the region to be evaluated, each monitoring point is provided with a third terminal, T is the serial number of each heavy metal content monitoring record, T is 1-1T, T is the total number of heavy metal content monitoring records, and HvMetal is provided with a third terminal h,p,t In order to monitor the content of the ith heavy metal in soil or groundwater in the t-th heavy metal content record sent by the p-th third terminal, the p-th third terminal is a third terminal set at the p-th monitoring point, and PopWt is a third terminal set at the p-th monitoring point h,p StHvMetal is the weight coefficient of the p-th monitoring point h And counting the content of the h heavy metal in the region to be evaluated.
Further, the fourth processing unit may include:
the heavy metal exceeding patient statistical value calculating unit is used for calculating the heavy metal exceeding patient statistical value according to the following formula:
wherein c is the serial number of each preset disease grade, c is more than or equal to 1 and less than or equal to CN, CN is the total number of disease grades, and ClassWt c Weight coefficient for the c disease level, patent c The PopNum is the total number of patients with the c-th disease grade and the heavy metal exceeding the standard in the medical records of the patients with the heavy metal exceeding the standardAnd the population total number of the region, stPatient is the statistics value of patients with heavy metal exceeding the standard in the region to be evaluated.
Further, the difference calculating module is specifically configured to calculate the difference between each reference set and the region to be evaluated according to the following formula:
wherein v is the serial number of each preset evaluation dimension, v is not less than 1 and not more than VN, VN is the total number of the evaluation dimensions, val v For the evaluation information of the region to be evaluated, the value of the evaluation information in the v-th evaluation dimension is that k is the serial number of the pollution degree type, k is not less than 1 and not more than KN, KN is the total number of the pollution degree type, M is the serial number of each reference region, and M is not less than 1 and not more than M k ，M k The kth reference set is a reference set corresponding to the kth pollution degree type, hsVal, which is the total number of reference regions included in the kth reference set k,m,v VecDis is a value in the v-th evaluation dimension for evaluating information of the mth reference region in the kth reference set k Weight for the degree of difference between the kth reference set and the region under evaluation k,v Weight coefficients for the v-th evaluation dimension in the k-th reference set, and:
it will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described apparatus, modules and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Fig. 4 shows a schematic block diagram of a server according to an embodiment of the present invention, and for convenience of explanation, only a portion related to the embodiment of the present invention is shown.
In this embodiment, the server 4 may include: a processor 40, a memory 41, and computer readable instructions 42 stored in the memory 41 and executable on the processor 40, such as computer readable instructions for performing the above-described method of evaluating waste battery pollution. The processor 40, when executing the computer-readable instructions 42, implements the steps of the various embodiments of the waste battery pollution assessment method described above, such as steps S101 through S104 shown in fig. 1. Alternatively, the processor 40, when executing the computer readable instructions 42, performs the functions of the modules/units of the apparatus embodiments described above, such as the functions of modules 301 through 304 shown in fig. 3.
Illustratively, the computer readable instructions 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to complete the present invention. The one or more modules/units may be a series of computer readable instructions capable of performing a particular function describing the execution of the computer readable instructions 42 in the server 4.
The processor 40 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), field programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the server 4, such as a hard disk or a memory of the server 4. The memory 41 may be an external storage device of the server 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the server 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the server 4. The memory 41 is used to store the computer readable instructions as well as other instructions and data required by the server 4. The memory 41 may also be used for temporarily storing data that has been output or is to be output.
The functional units in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution contributing to the prior art or in the form of a software product stored in a storage medium, comprising a number of computer readable instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing computer readable instructions.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for evaluating pollution of a waste battery, comprising:
respectively acquiring evaluation information of an area to be evaluated in each evaluation dimension from a preset terminal equipment cluster, wherein the evaluation information comprises total battery sales, total battery recovery, heavy metal content statistics, statistics of patients with excessive heavy metal and total heavy metal recovery, and the terminal equipment cluster comprises terminal equipment groups, wherein each terminal equipment group is used for acquiring the evaluation information in one evaluation dimension;
each reference set is respectively obtained from a preset database, wherein each reference set corresponds to one pollution degree type, and each reference set comprises evaluation information of more than one reference region;
calculating the difference degree between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region:
wherein v is the serial number of each preset evaluation dimension, v is not less than 1 and not more than VN, VN is the total number of the evaluation dimensions, val v For the evaluation information of the region to be evaluated, the value of the evaluation information in the v-th evaluation dimension is that k is the serial number of the pollution degree type, k is not less than 1 and not more than KN, KN is the total number of the pollution degree type, M is the serial number of each reference region, and M is not less than 1 and not more than M k ，M k The kth reference set is a reference set corresponding to the kth pollution degree type, hsVal, which is the total number of reference regions included in the kth reference set k,m,v VecDis is a value in the v-th evaluation dimension for evaluating information of the mth reference region in the kth reference set k Weight for the degree of difference between the kth reference set and the region under evaluation k,v Weight coefficients for the v-th evaluation dimension in the k-th reference set, and:
and determining the pollution degree type of the region to be evaluated according to the difference degree between each reference set and the region to be evaluated.
2. The method for evaluating the pollution of the waste battery according to claim 1, wherein the step of respectively acquiring the evaluation information of the region to be evaluated in each evaluation dimension from the preset terminal equipment cluster comprises the steps of:
receiving battery sales records sent by all first terminals in the region to be evaluated, and counting the total battery sales according to the battery sales records, wherein the first terminals are terminal equipment for performing battery sales records;
receiving battery recovery records sent by each second terminal in the region to be evaluated, and counting the total battery recovery amount according to the battery recovery records, wherein the second terminals are terminal equipment for performing battery recovery records;
receiving heavy metal content monitoring records sent by all third terminals in the region to be evaluated, and calculating the heavy metal content statistical value according to the heavy metal content monitoring records, wherein the third terminals are terminal equipment for monitoring the heavy metal content;
receiving medical records of patients with heavy metal exceeding standard sent by fourth terminals in the region to be evaluated, and calculating statistics values of the patients with heavy metal exceeding standard according to the medical records of the patients with heavy metal exceeding standard, wherein the fourth terminals are terminal equipment for monitoring the patients with heavy metal exceeding standard;
and receiving heavy metal recovery records sent by each fifth terminal in the region to be evaluated, and counting the total heavy metal recovery amount according to the heavy metal recovery records, wherein the fifth terminals are terminal equipment for carrying out heavy metal recovery records.
3. The method of claim 2, wherein calculating the heavy metal content statistic from the heavy metal content monitoring record comprises:
calculating the heavy metal content statistic according to the following formula:
wherein h is the serial number of various heavy metals, h is 1-1 HN, HN is the total number of various heavy metals, p is the serial number of each preset monitoring point, p is 1-1 PN, PN is the total number of monitoring points in the region to be evaluated, each monitoring point is provided with a third terminal, T is the serial number of each heavy metal content monitoring record, T is 1-1T, T is the total number of heavy metal content monitoring records, and HvMetal is provided with a third terminal h,p,t In order to monitor the content of the ith heavy metal in soil or groundwater in the t-th heavy metal content record sent by the p-th third terminal, the p-th third terminal is a third terminal set at the p-th monitoring point, and PopWt is a third terminal set at the p-th monitoring point h,p StHvMetal is the weight coefficient of the p-th monitoring point h And counting the content of the h heavy metal in the region to be evaluated.
4. The method of claim 2, wherein calculating the heavy metal out-of-standard patient statistics from the heavy metal out-of-standard patient medical records comprises:
calculating the statistics of patients with heavy metal exceeding the standard according to the following formula:
wherein c is the serial number of each preset disease grade, c is more than or equal to 1 and less than or equal to CN, CN is the total number of disease grades, and ClassWt c Weight coefficient for the c disease level, patent c And (3) taking the total number of patients with the heavy metal exceeding the disease level of the c in the medical records of the patients with the heavy metal exceeding the disease level as the population total number of the region to be evaluated, and taking StPatent as the statistics value of the patients with the heavy metal exceeding the disease level of the region to be evaluated.
5. A waste battery pollution evaluation device, characterized by comprising:
the system comprises an evaluation information acquisition module, a storage module and a storage module, wherein the evaluation information acquisition module is used for respectively acquiring evaluation information of an area to be evaluated in each evaluation dimension from a preset terminal equipment cluster, the evaluation information comprises total battery sales, total battery recovery, heavy metal content statistics, heavy metal exceeding patient statistics and total heavy metal recovery, the terminal equipment cluster comprises terminal equipment groups, and each terminal equipment group is used for acquiring the evaluation information in one evaluation dimension;
the reference set acquisition module is used for respectively acquiring each reference set from a preset database, wherein each reference set corresponds to one pollution degree type and comprises evaluation information of more than one reference region;
the difference degree calculation module is used for calculating the difference degree between each reference set and the region to be evaluated according to the evaluation information of the region to be evaluated and the evaluation information of each reference region:
wherein v is the serial number of each preset evaluation dimension, v is not less than 1 and not more than VN, VN is the total number of the evaluation dimensions, val v For the evaluation information of the region to be evaluated, the value of the evaluation information in the v-th evaluation dimension is that k is the serial number of the pollution degree type, k is not less than 1 and not more than KN, KN is the total number of the pollution degree type, M is the serial number of each reference region, and M is not less than 1 and not more than M k ，M k The kth reference set is a reference set corresponding to the kth pollution degree type, hsVal, which is the total number of reference regions included in the kth reference set k,m,v VecDis is a value in the v-th evaluation dimension for evaluating information of the mth reference region in the kth reference set k Weight for the degree of difference between the kth reference set and the region under evaluation k,v For the v-th evaluation dimensionWeight coefficients for the degrees in the kth reference set, and:
and the pollution degree type determining module is used for determining the pollution degree type of the region to be evaluated according to the difference degree between each reference set and the region to be evaluated.
6. The waste battery contamination assessment apparatus according to claim 5, wherein the assessment information acquisition module comprises:
the first processing unit is used for receiving the battery sales records sent by each first terminal in the region to be evaluated, counting the total battery sales according to the battery sales records, wherein the first terminals are terminal equipment for performing the battery sales records;
the second processing unit is used for receiving battery recovery records sent by each second terminal in the region to be evaluated, counting the total battery recovery amount according to the battery recovery records, and the second terminals are terminal equipment for performing battery recovery records;
the third processing unit is used for receiving the heavy metal content monitoring records sent by each third terminal in the region to be evaluated, calculating the heavy metal content statistical value according to the heavy metal content monitoring records, and the third terminals are terminal equipment for monitoring the heavy metal content;
the fourth processing unit is used for receiving the medical records of the patients with the excessive heavy metal sent by each fourth terminal in the region to be evaluated, calculating the statistical values of the patients with the excessive heavy metal according to the medical records of the patients with the excessive heavy metal, and the fourth terminals are terminal equipment for monitoring the patients with the excessive heavy metal;
and the fifth processing unit is used for receiving the heavy metal recovery records sent by each fifth terminal in the region to be evaluated, counting the total heavy metal recovery amount according to the heavy metal recovery records, and the fifth terminals are terminal equipment for carrying out the heavy metal recovery records.
7. A computer-readable storage medium storing computer-readable instructions, wherein the computer-readable instructions, when executed by a processor, implement the steps of the waste battery pollution assessment method according to any one of claims 1 to 4.
8. A server comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, wherein the processor, when executing the computer readable instructions, performs the steps of the method for evaluating waste battery pollution as claimed in any one of claims 1 to 4.
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