CN113987058B - Method and device for determining emission list - Google Patents

Method and device for determining emission list Download PDF

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CN113987058B
CN113987058B CN202111283051.6A CN202111283051A CN113987058B CN 113987058 B CN113987058 B CN 113987058B CN 202111283051 A CN202111283051 A CN 202111283051A CN 113987058 B CN113987058 B CN 113987058B
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target
emission
determining
current
list
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CN113987058A (en
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吕怡蓉
李诗瑶
管梦爽
孙明生
易志安
秦东明
李璇
杨帆
刘世丽
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3Clear Technology Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26—Visual data mining; Browsing structured data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/24323—Tree-organised classifiers
    • 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

Abstract

The invention provides a method and a device for determining an emission list, and belongs to the field of environmental science. The method comprises the following steps: step 1, acquiring a first emission amount of a target pollutant in a current emission list and a second emission amount of the target pollutant in a historical emission list; step 2, determining the current data state of the target pollutant; step 3, if the current data state is abnormal, determining an audit target according to the target source class, revising the audit target and updating the first discharge amount; step 4, acquiring a current first emission amount in a current emission list updated based on an audit target; step 5, determining the current data state of the target pollutant, and executing the step 3-5 if the current data state is abnormal; if the current data state is normal, executing step 6; and 6, determining the current first discharge amount as the data of the target discharge list, and adding the data into the target discharge list. By adopting the invention, systematization, modeling and process of list audit can be ensured.

Description

Method and device for determining emission list
Technical Field
The invention relates to the field of environmental science, in particular to a method and a device for determining an emission list.
Background
In recent years, more and more cities dynamically update local urban air pollution source emission lists, so that the result of quickly and accurately reviewing and revising newly compiled lists is increasingly important.
Audit revisions for inventory generally start with activity levels, emission factors, and emissions.
The quality control of the activity level auditing of the atmosphere source emission list mainly comprises department basic data cross validation, key industry multilevel data checking and the like, wherein the department basic data cross validation comprises energy consumption cross validation, enterprise quantity comparison, product yield cross validation and the like, and the key industry multilevel data checking comprises data integrity, data entry normalization, data rationality and the like.
The checking and quality control of the emission factors mainly comprises checking whether the emission factors are accurate, checking whether the selection of the emission factors is reasonable and the like.
The discharge amount auditing and quality control mainly comprises result rationality, mode simulation verification and the like, wherein the result rationality mainly refers to the condition that whether a pollution generation link exists but the discharge amount is 0 is audited, whether an abnormal value exists is audited, and the discharge amount trend is compared with the air quality index; and the mode simulation verification is to input the emission list data into a model for simulation, and compare the emission list data with the simultaneous air quality monitoring data to verify the accuracy of the emission list.
At present, the review and revision aiming at the list are mostly realized manually, and have arbitrariness, and systematic, patterned and streamlined review and revision processes are lacked.
Disclosure of Invention
In order to solve the problems of the prior art, embodiments of the present invention provide a method and an apparatus for determining an emission list. The technical scheme is as follows:
according to an aspect of the present invention, there is provided a method of determining an emissions manifest, the method comprising:
step 1, acquiring a first emission amount of a target pollutant in a current emission list and a second emission amount of the target pollutant in a historical emission list;
step 2, determining the current data state of the target pollutant according to the first discharge amount and the second discharge amount, wherein the data state comprises abnormal or normal;
step 3, if the current data state is abnormal, determining an audit target according to the target source class to which the target pollutant belongs, revising the audit target and updating the first discharge amount;
step 4, acquiring a current first emission amount in a current emission list updated based on the audit target;
step 5, determining the current data state of the target pollutant according to the current first discharge amount and the current second discharge amount, and executing the step 3-5 if the current data state is abnormal; if the current data state is normal, executing step 6;
and 6, determining the current first discharge amount as data of a target discharge list, and adding the data into the target discharge list.
Optionally, the determining a current data state of the target pollutant according to the first discharge amount and the second discharge amount includes:
determining a ratio of the second discharge amount to the first discharge amount;
determining whether the ratio belongs to a desired ratio;
if the ratio belongs to the expected ratio, judging that the current data state of the target pollutant is normal;
and if the ratio does not belong to the expected ratio, judging that the current data state of the target pollutant is abnormal.
Optionally, the determining whether the ratio belongs to a desired ratio includes:
determining whether the ratio is in a first preset range or not, wherein the first preset range is used for indicating that data catastrophe exists in the first discharge amount;
if the ratio is in the first preset range, judging that the current data state of the target pollutant is abnormal;
if the ratio is not in the first preset range, determining whether the ratio is in a second preset range, wherein the second preset range is used for indicating that the first discharge amount is abnormal in non-abrupt change;
if the ratio is in the second preset range, judging that the current data state of the target pollutant is abnormal;
if the ratio is not within the second preset range, determining whether the ratio is within a desired ratio.
Optionally, if the current data state is abnormal, determining an audit target according to the target source class to which the target pollutant belongs and the emission factor of the target pollutant, including:
when the target source class to which the target pollutant belongs is a first source class, determining a target industry with abnormal data; wherein the first source class is used to represent an industrial enterprise source;
determining whether the emission factors of the target industry are consistent in the current emission list and the historical emission list;
if the product yield information is consistent with the product yield information of the target industry, determining an auditing target;
and if the discharge factors are inconsistent, determining an auditing target according to the correctness indication information of the discharge factors of the target industry.
Optionally, the determining an audit target according to the product yield information of the target industry includes:
obtaining first product yield information of the target industry from the current emission list;
obtaining second product yield information of the target industry from the historical emission list;
determining whether a difference between the first product yield information and the second product yield information is less than a set yield threshold;
if the current emission list is smaller than the historical emission list, determining first difference information between the processing efficiency of the target industry in the current emission list and the processing efficiency of the target industry in the historical emission list; determining the auditing target as the processing efficiency of the target industry; outputting the first difference information and the determined auditing target;
if not, determining that the auditing objective is the activity level of the objective industry; and outputting the determined auditing target.
Optionally, the determining an audit target according to the correctness indication information of the emission factor of the target industry includes:
acquiring correctness indication information of the emission factor of the target industry, wherein the correctness indication information is used for indicating whether the emission factor is selected correctly or incorrectly;
when the correctness indication information indicates that the emission factor is correctly selected, determining an auditing target according to the product yield information of the target industry;
when the correctness indication information indicates that the emission factor selection is wrong, determining that an audit target is the emission factor of the target industry; and outputting the determined auditing target.
Optionally, before determining whether the emission factors of the target industries are consistent, the method further includes:
determining enterprise change information of the target industry relative to the historical emission list in the current emission list, wherein the enterprise change information comprises information of production stopping enterprises and newly added enterprises;
and updating the enterprise information of the target industry based on the enterprise change information.
Optionally, the determining an audit target according to the target source class to which the target pollutant belongs and the emission factor of the target pollutant includes:
when the target source class to which the target pollutant belongs is a second source class, determining a target administrative division with abnormal data; wherein the second source class is used for representing administrative division sources;
determining whether the emission factors of the target administrative division are consistent in the current emission list and the historical emission list;
if the current administrative division is consistent with the target administrative division, determining an auditing target according to the activity level information of the target administrative division;
and if the emission factors are inconsistent, determining an auditing target according to the correctness indication information of the emission factors of the target administrative division.
Optionally, the determining an audit target according to the activity level information of the target administrative division includes:
determining second difference information between activity levels of the target administrative regions in the current emission list and the historical emission list;
determining the activity level of the target administrative division as an auditing target;
and outputting the second difference information and the determined auditing target.
Optionally, the determining an audit target according to the correctness indication information of the emission factor of the target administrative division includes:
acquiring correctness indication information of the emission factors of the target administrative division, wherein the correctness indication information is used for indicating whether the emission factors are selected correctly or incorrectly;
when the correctness indication information indicates that the emission factor is correctly selected, determining an auditing target according to the activity level information of the target administrative division;
when the correctness indication information indicates that the emission factor selection is wrong, determining that an audit target is the emission factor of the target administrative division; and outputting the determined auditing target.
According to another aspect of the present invention, there is provided an emission list determination apparatus, the apparatus comprising:
the acquisition module is used for executing the step 1, acquiring a first emission amount of a target pollutant in a current emission list and a second emission amount of the target pollutant in a historical emission list;
the determining module is used for executing the step 2, and determining the current data state of the target pollutant according to the first discharge amount and the second discharge amount, wherein the data state comprises abnormal or normal; step 3, if the current data state is abnormal, determining an audit target according to the target source class to which the target pollutant belongs, revising the audit target and updating the first discharge amount;
the updating module is used for executing the step 4 and acquiring a current first emission amount in a current emission list updated based on the auditing target;
the determining module is further configured to execute step 5, determine a current data state of the target pollutant according to the current first discharge amount and the current second discharge amount, and execute step 3-5 if the current data state is abnormal; if the current data state is normal, executing step 6; and 6, determining the current first discharge amount as data of a target discharge list, and adding the data into the target discharge list.
Optionally, the determining module is configured to:
determining a ratio of the second discharge amount to the first discharge amount;
determining whether the ratio belongs to a desired ratio;
if the ratio belongs to the expected ratio, judging that the current data state of the target pollutant is normal;
and if the ratio does not belong to the expected ratio, judging that the current data state of the target pollutant is abnormal.
Optionally, the determining module is configured to:
determining whether the ratio is in a first preset range or not, wherein the first preset range is used for indicating that data catastrophe exists in the first discharge amount;
if the ratio is in the first preset range, judging that the current data state of the target pollutant is abnormal;
if the ratio is not in the first preset range, determining whether the ratio is in a second preset range, wherein the second preset range is used for indicating that the first discharge amount is abnormal in non-abrupt change;
if the ratio is in the second preset range, judging that the current data state of the target pollutant is abnormal;
if the ratio is not within the second preset range, determining whether the ratio is within a desired ratio.
Optionally, the determining module is configured to:
when the target source class to which the target pollutant belongs is a first source class, determining a target industry with abnormal data; wherein the first source class is used to represent an industrial enterprise source;
determining whether the emission factors of the target industry are consistent in the current emission list and the historical emission list;
if the product yield information is consistent with the product yield information of the target industry, determining an audit target;
and if the discharge factors are inconsistent, determining an auditing target according to the correctness indication information of the discharge factors of the target industry.
Optionally, the determining module is configured to:
obtaining first product yield information of the target industry from the current emission list;
obtaining second product yield information of the target industry from the historical emission list;
determining whether a difference between the first product yield information and the second product yield information is less than a set yield threshold;
if the current emission list is smaller than the historical emission list, determining first difference information between the processing efficiency of the target industry in the current emission list and the processing efficiency of the target industry in the historical emission list; determining the auditing target as the processing efficiency of the target industry; outputting the first difference information and the determined auditing target;
if not, determining that the auditing objective is the activity level of the objective industry; and outputting the determined auditing target.
Optionally, the determining module is configured to:
acquiring correctness indication information of the emission factor of the target industry, wherein the correctness indication information is used for indicating whether the emission factor is selected correctly or incorrectly;
when the correctness indication information indicates that the emission factor is correctly selected, determining an auditing target according to the product yield information of the target industry;
when the correctness indication information indicates that the emission factor selection is wrong, determining that an audit target is the emission factor of the target industry; and outputting the determined auditing target.
Optionally, the determining module is further configured to:
determining enterprise change information of the target industry relative to the historical emission list in the current emission list, wherein the enterprise change information comprises information of production stopping enterprises and newly added enterprises;
and updating the enterprise information of the target industry based on the enterprise change information.
Optionally, the determining module is configured to:
when the target source class to which the target pollutant belongs is a second source class, determining a target administrative division with abnormal data; wherein the second source class is used for representing administrative division sources;
determining whether the emission factors of the target administrative division are consistent in the current emission list and the historical emission list;
if the current administrative division is consistent with the target administrative division, determining an auditing target according to the activity level information of the target administrative division;
and if the emission factors are inconsistent, determining an auditing target according to the correctness indication information of the emission factors of the target administrative division.
Optionally, the determining module is configured to:
determining second difference information between activity levels of the target administrative regions in the current emission list and the historical emission list;
determining an activity level of an audit target as the target administrative division;
and outputting the second difference information and the determined auditing target.
Optionally, the determining module is configured to:
acquiring correctness indication information of the emission factors of the target administrative division, wherein the correctness indication information is used for indicating whether the emission factors are selected correctly or incorrectly;
when the correctness indication information indicates that the emission factor is correctly selected, determining an auditing target according to the activity level information of the target administrative division;
when the correctness indication information indicates that the emission factor selection is wrong, determining that an audit target is the emission factor of the target administrative division; and outputting the determined auditing target.
According to another aspect of the present invention, there is provided an electronic apparatus including:
a processor; and
a memory for storing a program, wherein the program is stored in the memory,
wherein the program comprises instructions which, when executed by the processor, cause the processor to carry out the above-mentioned method of determining an emissions manifest.
According to another aspect of the present invention, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to execute the above-described emission list determination method.
In the embodiment of the invention, whether the data state is abnormal or not can be evaluated based on the emission amount, so that for the abnormal data state, the auditing target is determined further according to the information of the target source class and the emission factor, and after the emission amount is updated based on the auditing target, if the data state is still abnormal, the processing of determining the auditing target can be repeated; if the data state is normal, a final target emissions manifest may be constructed based on the normal data. Therefore, the invention provides a systematic, modeled and streamlined emission list determination method, which aims to quickly and systematically complete the examination and revision of the emission list, and further scientifically, reasonably and accurately reflect the latest emission conditions of different pollution sources and different pollutants.
Drawings
Further details, features and advantages of the invention are disclosed in the following description of exemplary embodiments with reference to the accompanying drawings, in which:
FIG. 1 shows a flow chart of a method of determining an emissions manifest according to an exemplary embodiment of the present invention;
FIG. 2 illustrates a flowchart of a method of determining a data state according to an exemplary embodiment of the present invention;
FIG. 3 illustrates a flowchart of a method of determining a data state according to an exemplary embodiment of the present invention;
FIG. 4 illustrates a flowchart of a method of determining an emissions manifest according to an exemplary embodiment of the present invention;
FIG. 5 illustrates a flowchart of a method of determining an emissions manifest according to an exemplary embodiment of the present invention;
FIG. 6 illustrates a flowchart of a method for determining an emissions manifest according to an exemplary embodiment of the present invention;
FIG. 7 illustrates a flowchart of a method of determining an emissions manifest according to an exemplary embodiment of the present invention;
FIG. 8 illustrates a flowchart of a method of determining an emissions manifest according to an exemplary embodiment of the present invention;
FIG. 9 shows a flowchart of a method of determining an emissions manifest, according to an exemplary embodiment of the present invention;
FIG. 10 shows a flowchart of a method of determining an emissions manifest, according to an exemplary embodiment of the present invention;
FIG. 11 shows a schematic block diagram of an emissions manifest determination apparatus in accordance with an exemplary embodiment of the present invention;
FIG. 12 illustrates a block diagram of an exemplary electronic device that can be used to implement an embodiment of the invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description. It should be noted that the terms "first", "second", and the like in the present invention are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present invention are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Embodiments of the present invention provide a method for determining an emission list, which may be performed by a terminal, a server, and/or other devices with processing capabilities. The method provided by the embodiment of the present invention may be performed by any one of the above devices, or may be performed by a plurality of devices, which is not limited in this respect.
Taking the terminal as an example, the present embodiment will describe a method for determining an emission list with reference to a flowchart of the method for determining an emission list shown in fig. 1.
Step 101, the terminal obtains a first emission amount of target pollutants in a current emission list and a second emission amount of the target pollutants in a historical emission list.
In one possible implementation, the terminal may store a current emission list and a historical emission list, for example, the current emission list may be an emission list of urban atmospheric pollution sources in a place in 2020, and the historical emission list may be an emission list of urban atmospheric pollution sources in a place in 2019.
When a user needs to check and revise the current emission list, the current emission list to be checked and the reference historical emission list can be set on the terminal, and the confirmation option can be clicked to trigger a checking signal of the current emission list. At this time, the terminal may obtain the current emission list and the historical emission list from the memory, and traverse the table position corresponding to each pollutant in the emission list to obtain the emission amount of the pollutant in the current emission list and the historical emission list.
For convenience of introduction, the currently audited pollutant is referred to as a target pollutant, the emission amount in the current emission list is referred to as a first emission amount, and the emission amount in the historical emission list is referred to as a second emission amount.
And 102, determining the current data state of the target pollutant by the terminal according to the first discharge amount and the second discharge amount.
The data state may include, among other things, abnormal or normal.
Specifically, as shown in the flowchart of the method for determining the data state shown in fig. 2, the processing of the step 102 may be as follows:
step 201, determining the ratio of the second discharge amount to the first discharge amount;
step 202, determining whether the ratio belongs to an expected ratio;
step 203, if the ratio belongs to the expected ratio, judging that the current data state of the target pollutant is normal;
and step 204, if the ratio does not belong to the expected ratio, determining that the current data state of the target pollutant is abnormal.
In a possible implementation manner, the user may set the expected ratio empirically or set the expected ratio according to statistical information, for example, the expected ratio may be any value in (1, 1.5), which indicates that the current first discharge amount is reduced or even halved compared to the second discharge amount, and indirectly indicates that the pollutant control is effective.
The terminal may calculate the ratio using the following formula:
Figure BDA0003331829590000081
wherein, CijRefers to the ratio of the second discharge amount to the first discharge amount; a. theijThe second emission amount of the pollutant substance j of the target source class i in the historical emission list is referred to; b isijRefers to the first emission amount of pollutant substance j of the target source class i in the current emission list.
It should be noted that the above-mentioned desired ratio may be a specific ratio, or may be a ratio range, for example, the desired ratio may be (1, 1.5), which is suitable for practical situations.
In order to distinguish the different data anomaly states in detail so as to adopt a corresponding auditing revision manner, in another possible implementation, the data anomaly states can be determined according to the numerical range in which the ratio falls. Correspondingly, as shown in the flowchart of the method for determining the data status in fig. 3, the processing of the step 202 can be represented by the following steps 2021-2025:
step 2021, determining whether the ratio is in a first preset range;
step 2022, if the ratio is in the first preset range, determining that the current data state of the target pollutant is abnormal;
step 2023, if the ratio is not in the first preset range, determining whether the ratio is in a second preset range;
step 2024, if the ratio is in the second preset range, determining that the current data state of the target pollutant is abnormal;
step 2025, if the ratio is not within the second preset range, determines if the ratio is within the desired ratio.
The first preset range can be used for indicating that data catastrophe exists in the first discharge amount; the second preset range may be used to indicate that there is a non-surge abnormality in the first discharge amount.
Illustratively, the first preset range may be [0,0.5 ]. sup.2, + ∞ ], if the ratio falls within [0,0.5], indicating a situation in which there is a sharp increase in the first emission amount of the current emission list; if the ratio falls within [2, + ∞ ], it indicates that there is a sharp decrease in the first emissions of the current emissions list. That is, there is an abnormal situation of data explosion.
The second predetermined range may be [0.5,1) < 1.5, 2), if the ratio falls within [0.5,1), indicating a non-catastrophe increase in the first emissions of the current emissions list; if the ratio falls within 1.5, 2), it indicates that there is a non-surge decreasing condition for the first emissions of the current emissions list. That is, there is a non-catastrophic anomaly in the data.
In a possible implementation manner, when the terminal determines that the ratio is within the first preset range, the terminal may further output a first abnormal result, where the first abnormal result may be used to indicate that there is an abnormal condition of data catastrophe. At this time, the user can obtain the first abnormal result through the terminal, and then adopt a corresponding auditing mode to audit the abnormal situation of the data catastrophe. For example, when the emission amount is 0 in some cases of a pollution generation link, the emission amount is checked to be 0.
When the terminal judges that the ratio is in the second preset range, the terminal can also output a second abnormal result, and the second abnormal result can be used for indicating that the data has non-catastrophe abnormality. At this time, the user can obtain the second abnormal result through the terminal, and then adopt a corresponding auditing mode to audit the data non-catastrophe abnormal condition.
When the terminal determines that the current data state of the target pollutant is abnormal, the terminal can determine the auditing target by the method provided by the embodiment, and the flow of the corresponding method for determining the emission list is shown in fig. 4.
When the terminal determines that the current data state of the target pollutant is normal, the data related to the target pollutant is correct, the verification target can be determined without the method provided by the embodiment, and the current first discharge amount is directly used as the data of the target discharge list and added into the target discharge list. The target emissions manifest may refer to an emissions manifest for which a final audit is complete.
And 103, if the current data state is abnormal, the terminal determines an audit target according to the target source class to which the target pollutant belongs, revises the audit target and updates the first emission amount.
The target source class may include a first source class and a second source class, the first source class may be used for representing industrial enterprise sources, and the second source class may be used for representing administrative division sources. The target contaminant may include one or more of: SO (SO)2(Sulfur dioxide), NOx(Nitrogen oxide), CO (carbon monoxide), PM10(inhalable particles), PM2.5(Fine particles), VOCs (Volatile Organic Compounds), NH3(ammonia gas), BC (Black Carbon), and OC (Organic Carbon), the present example is not limited to specific contaminants.
In one possible implementation, the first source class and the second source class may be classifications on a spatial scale, e.g., the first source class may represent a point source of an industrial enterprise and the second source class may represent a county area source. Multiple contaminants may be included under each source class.
The processing flows of the first source class and the second source class will be described separately below.
When the target source class to which the target pollutant belongs is the first source class, referring to the flowchart of the method for determining the emission list shown in fig. 5, the process flow for the industrial enterprise source is shown as steps 501 and 504:
step 501, determining a target industry with abnormal data;
step 502, determining whether the emission factors of the target industry are consistent in the current emission list and the historical emission list;
step 503, if the product yield information is consistent with the product yield information of the target industry, determining an audit target;
and step 504, if the discharge factors are inconsistent, determining an auditing target according to the correctness indication information of the discharge factors of the target industry.
In a possible implementation manner, for step 501, the terminal may obtain the industrial enterprise information of a target industry in the industrial enterprise source where the difference in emission amount is large, for example, the emission amount of each industry in the current emission list and the emission amount of each corresponding industry in the historical emission list may be obtained, the emission amount ratio of each industry in the current emission list compared with the historical emission list is further calculated, when the emission amount ratio is greater than the set emission amount threshold, the corresponding industry is determined as the target industry where the data is abnormal, and the corresponding industrial enterprise information is obtained.
Optionally, in order to improve the accuracy of the audit, the information of the industrial enterprise corresponding to the current emission list may be updated, and before determining whether the emission factors of the target industry are consistent, the following processing may be performed: determining enterprise change information of a target industry relative to a historical emission list in a current emission list; and updating the enterprise information of the target industry based on the enterprise change information.
The enterprise change information may include information of a production stop enterprise and a new enterprise.
That is, the terminal may compare the number of enterprises in the historical emission list and the current emission list, find out the enterprises that are stopped and newly added, and supplement the enterprise information that is not collected to the current emission list. Of course, the processing here may also be completed by the user, which is not limited in this embodiment, and at this time, the terminal may obtain the enterprise information supplemented by the user.
In step 502, the terminal may compare the enterprise information of each enterprise in the target industry, and determine whether the selection of the emission factor of each enterprise is consistent in the historical emission list and the current emission list.
If the discharge factors are consistent, the discharge factors can be considered to be correctly selected, and the step 503 is skipped to process; if not, then the process may jump to step 504 to further determine whether the emissions factor selection is correct.
Referring to the flowchart of the method for determining the emission list shown in fig. 6, the process of step 503 may be as follows:
step 5031, obtaining first product yield information of a target industry from a current emission list;
step 5032, obtaining second product yield information of the target industry from the historical emission list;
step 5033, determining whether the difference between the first product yield information and the second product yield information is less than a set yield threshold;
step 5034, if the current emission list is smaller than the historical emission list, determining first difference information between the processing efficiencies of the target industries in the current emission list and the historical emission list, determining that the auditing target is the processing efficiency of the target industry, and outputting the first difference information and the determined auditing target;
step 5035, if the result is not less than the preset value, determining that the auditing objective is the activity level of the objective industry, and outputting the determined auditing objective.
That is, when the difference is smaller than the set yield threshold, it indicates that the product yield of the target industry in the current emission list and the historical emission list is close, the probability of abnormal activity level is low, and the probability of abnormal processing efficiency is high. At this time, the user can refer to the difference information of the processing efficiency based on the information output by the terminal, check the information of the processing efficiency of the target industry according to the actual situation, and revise the information correspondingly.
When the difference is not less than the set yield threshold, the product yield of the target industry in the current emission list and the historical emission list is not close, the probability of abnormal activity level is high, and the probability of abnormal processing efficiency is low. At this time, the user can know that the auditing target is the activity level of the target industry, and audit and revise the activity level of the target industry according to the actual situation.
Referring to the flowchart of the method for determining the emission list shown in fig. 7, the process of step 504 may be as follows:
step 5041, acquiring correctness indication information of emission factors of the target industry;
step 5042, when the correctness indication information indicates that the emission factor is selected correctly, determining an auditing target according to product yield information of a target industry;
and step 5043, when the correctness indication information indicates that the emission factor selection is wrong, determining that the auditing target is the emission factor of the target industry, and outputting the determined auditing target.
Wherein, the correctness indication information can be used for indicating whether the emission factor is selected correctly or incorrectly.
In one possible implementation, for step 5041, the terminal may determine whether the selection of the emission factor is correct according to a preset algorithm for calculating the correctness of the emission factor, for example, an algorithm based on a decision tree, which is input as each emission factor and output as a result of whether the selection is correct. Alternatively, the terminal may also output prompt information for determining whether the emission factor is correct. When the user acquires the prompt information, the correctness of the emission factor can be checked, if the emission factor is correctly selected, an option indicating the correctness can be selected on the terminal, and at the moment, the terminal can acquire the indication information indicating the correctness of the emission factor selection; if the selection of the emission factor is wrong, an option indicating the mistake can be selected on the terminal, and at the moment, the terminal can acquire correctness indication information indicating the selection of the emission factor is wrong.
When the emission factor is correctly selected, which indicates that the data exception may occur at the processing efficiency or activity level, the terminal may jump to step 5042, and the specific processing of step 5042 is the same as that of step 503, which is not described herein again.
When the emission factor is selected in error, indicating that data abnormality occurs on the emission factor, the terminal may jump to step 5043, determine the audit target as the emission factor of the target industry, and output a prompt message of the corresponding audit target. At this time, the user can know that the auditing target is the emission factor of the target industry, and audit and revise the emission factor according to the actual situation.
In the above description, the processing flow of the first source class corresponding to the industrial enterprise source is described, and when the target source class to which the target pollutant belongs is the second source class, referring to the flowchart of the method for determining the emission list shown in fig. 8, the processing flow of the district and county area source is described based on steps 801 and 804:
step 801, determining a target administrative division with abnormal data;
step 802, determining whether the emission factors of the target administrative division are consistent in the current emission list and the historical emission list;
step 803, if the two are consistent, determining an audit target according to the activity level information of the target administrative division;
and step 804, if the emission factors are inconsistent, determining an auditing target according to the correctness indication information of the emission factors of the target administrative district.
In a possible implementation manner, for step 801, the terminal may obtain information of target administrative divisions with large emission differences in the county and county surface sources, for example, may obtain the emission of each administrative division in the current emission list and the emission of the corresponding administrative division in the historical emission list, further calculate an emission ratio of the current emission list to each administrative division in the historical emission list, determine the corresponding administrative division as the target administrative division with abnormal data when the emission ratio is greater than a set emission threshold, and obtain corresponding administrative division information.
In step 802, the terminal may determine whether the selection of the emission factor of the target administrative division is consistent between the historical emission list and the current emission list.
If the discharge factors are consistent, the discharge factors can be considered to be correctly selected, and the step 803 is skipped to for processing; if not, the process may jump to step 804 to further determine whether the emission factor selection is correct.
Referring to the flowchart of the method for determining the emission list shown in fig. 9, the process of the above step 803 may be as follows:
step 8031, determining second difference information between activity levels of target administrative divisions in the current emission list and the historical emission list;
step 8032, determining the activity level of the target administrative division as the auditing target;
step 8033, outputting the second difference information and the determined audit target.
That is, when the emission factor is correctly selected, it indicates that data abnormality may occur on the activity level, the terminal may calculate difference information of the activity levels between the two emission lists, determine the auditing target as the activity level of the target administrative division, and output corresponding difference information and prompting information of the auditing target for the user to refer. At this time, the user may review the information of the activity level of the target administrative division according to the actual situation by referring to the difference information of the activity level based on the information output by the terminal, and perform corresponding revision.
Referring to the flowchart of the method for determining the emission list shown in fig. 10, the process of step 804 may be as follows:
step 8041, acquiring accuracy indication information of emission factors of the target administrative division;
step 8042, when the correctness indication information indicates that the emission factor is selected correctly, determining an auditing target according to the activity level information of the target administrative division;
step 8043, when the correctness indication information indicates that the emission factor selection is wrong, determining that the auditing target is the emission factor of the target administrative division; and outputting the determined auditing target.
Wherein, like the first source class, the correctness indication information can also be used to indicate whether the emission factor is selected correctly or incorrectly. The processing of step 8041 is the same as that of step 5041, and is not described herein again.
When the emission factor is correctly selected, the terminal may jump to step 8042, and the specific processing of step 8042 is the same as that of step 803, which is not described herein again.
When the emission factor is selected incorrectly, indicating that data abnormality occurs on the emission factor, the terminal may jump to step 8043, determine the audit target as the emission factor of the target administrative division, and output the prompt information of the corresponding audit target. At this time, the user can know the emission factor of which the auditing target is the target administrative division, and audit and revise the emission factor according to the actual situation.
And 104, the terminal acquires a current first emission amount in a current emission list updated based on the auditing target.
In one possible implementation, after the user audits the audit target and the revision is completed, the terminal may obtain the revised processing efficiency, activity level, or emission factor and recalculate the first emission amount according to the following formula:
E＝A*EF*(1-η)
wherein E is the emission; a is activity level; EF is the corresponding atmospheric pollutant emission factor or coefficient; eta is the efficiency of the pollution control technology in removing certain atmospheric pollutants, namely the treatment efficiency.
105, the terminal determines the current data state of the target pollutant according to the current first discharge amount and the current second discharge amount, and if the current data state is abnormal, the terminal executes step 103 and 105; if the current data state is normal, the terminal performs step 106.
In one possible embodiment, after updating the first discharge amount, the terminal may determine the updated data status based on the same method as the step 102. When the data state is abnormal, the terminal may jump back to step 103 for corresponding processing; when the data state is normal, it may jump to step 107.
And step 106, the terminal determines the current first discharge amount as the data of the target discharge list and adds the data into the target discharge list.
In one possible embodiment, when the updated data status is normal, indicating that the revised data associated with the target pollutant is correct, the updated first emissions amount may be added to the target emissions list as data for the target emissions list.
For each pollutant in the emission list, it can be audited by the method described above. And when the parameter of the table position corresponding to each pollutant in the emission list is checked and revised, a final target emission list can be obtained.
In the embodiment of the invention, the terminal can evaluate whether the data state is abnormal or not based on the emission amount, further determines the auditing target according to the information of the target source class and the emission factor for the abnormal data state, and can repeatedly determine the auditing target if the data state is still abnormal after updating the emission amount based on the auditing target; if the data state is normal, a final target emissions manifest may be constructed based on the normal data. Therefore, the invention provides a systematic, modeled and streamlined emission list determination method, which aims to quickly and systematically complete the examination and revision of the emission list, and further scientifically, reasonably and accurately reflect the latest emission conditions of different pollution sources and different pollutants.
The embodiment of the invention provides a device for determining an emission list, which is used for realizing the method for determining the emission list. As shown in a schematic block diagram of an emission list determination apparatus shown in fig. 11, the emission list determination apparatus 1100 includes: the system comprises an acquisition module 1101, a determination module 1102 and an update module 1103.
An obtaining module 1101, configured to execute step 1, obtain a first emission amount of a target pollutant in a current emission list and a second emission amount of the target pollutant in a historical emission list;
a determining module 1102, configured to execute step 2, and determine a current data state of the target pollutant according to the first discharge amount and the second discharge amount, where the data state includes abnormal or normal; step 3, if the current data state is abnormal, determining an audit target according to the target source class to which the target pollutant belongs, revising the audit target and updating the first discharge amount;
an updating module 1103, configured to perform step 4, obtaining a current first emission amount in a current emission list updated based on the audit target;
the determining module 1102 is further configured to execute step 5, determine a current data state of the target pollutant according to the current first discharge amount and the current second discharge amount, and execute step 3-5 if the current data state is abnormal; if the current data state is normal, executing step 6; and 6, determining the current first discharge amount as data of a target discharge list, and adding the data into the target discharge list.
Optionally, the determining module 1102 is configured to:
determining a ratio of the second discharge amount to the first discharge amount;
determining whether the ratio belongs to a desired ratio;
if the ratio belongs to the expected ratio, judging that the current data state of the target pollutant is normal;
and if the ratio does not belong to the expected ratio, judging that the current data state of the target pollutant is abnormal.
Optionally, the determining module 1102 is configured to:
determining whether the ratio is in a first preset range or not, wherein the first preset range is used for indicating that data catastrophe exists in the first discharge amount;
if the ratio is in the first preset range, judging that the current data state of the target pollutant is abnormal;
if the ratio is not in the first preset range, determining whether the ratio is in a second preset range, wherein the second preset range is used for indicating that the first discharge amount has non-catastrophe abnormity;
if the ratio is in the second preset range, judging that the current data state of the target pollutant is abnormal;
if the ratio is not within the second preset range, determining whether the ratio is within a desired ratio.
Optionally, the determining module 1102 is configured to:
when the target source class to which the target pollutant belongs is a first source class, determining a target industry with abnormal data; wherein the first source class is used to represent an industrial enterprise source;
determining whether the emission factors of the target industry are consistent in the current emission list and the historical emission list;
if the product yield information is consistent with the product yield information of the target industry, determining an auditing target;
and if the discharge factors are inconsistent, determining an auditing target according to the correctness indication information of the discharge factors of the target industry.
Optionally, the determining module 1102 is configured to:
obtaining first product yield information of the target industry from the current emission list;
obtaining second product yield information of the target industry from the historical emission list;
determining whether a difference between the first product yield information and the second product yield information is less than a set yield threshold;
if the current emission list is smaller than the historical emission list, first difference information between the processing efficiency of the target industry in the current emission list and the processing efficiency of the target industry in the historical emission list is determined; determining the auditing target as the processing efficiency of the target industry; outputting the first difference information and the determined auditing target;
if not, determining that the auditing objective is the activity level of the objective industry; and outputting the determined auditing target.
Optionally, the determining module 1102 is configured to:
acquiring correctness indication information of the emission factor of the target industry, wherein the correctness indication information is used for indicating whether the emission factor is selected correctly or incorrectly;
when the correctness indication information indicates that the emission factor is correctly selected, determining an auditing target according to the product yield information of the target industry;
when the correctness indication information indicates that the emission factor selection is wrong, determining that an audit target is the emission factor of the target industry; and outputting the determined auditing target.
Optionally, the determining module 1102 is further configured to:
determining enterprise change information of the target industry relative to the historical emission list in the current emission list, wherein the enterprise change information comprises information of production stopping enterprises and newly added enterprises;
and updating the enterprise information of the target industry based on the enterprise change information.
Optionally, the determining module 1102 is configured to:
when the target source class to which the target pollutant belongs is a second source class, determining a target administrative division with abnormal data; wherein the second source class is used for representing administrative division sources;
determining whether the emission factors of the target administrative division are consistent in the current emission list and the historical emission list;
if the current administrative division is consistent with the target administrative division, determining an auditing target according to the activity level information of the target administrative division;
and if the emission factors are inconsistent with the emission factors of the target administrative district, determining an auditing target according to the correctness indication information of the emission factors of the target administrative district.
Optionally, the determining module 1102 is configured to:
determining second difference information between activity levels of the target administrative regions in the current emission list and the historical emission list;
determining an activity level of an audit target as the target administrative division;
and outputting the second difference information and the determined auditing target.
Optionally, the determining module 1102 is configured to:
acquiring correctness indication information of the emission factors of the target administrative division, wherein the correctness indication information is used for indicating whether the emission factors are selected correctly or incorrectly;
when the correctness indication information indicates that the emission factor is correctly selected, determining an auditing target according to the activity level information of the target administrative division;
when the correctness indication information indicates that the emission factor selection is wrong, determining that an audit target is the emission factor of the target administrative division; and outputting the determined auditing target.
In the embodiment of the invention, whether the data state is abnormal or not can be evaluated based on the emission amount, so that for the abnormal data state, the auditing target is determined further according to the information of the target source class and the emission factor, and after the emission amount is updated based on the auditing target, if the data state is still abnormal, the processing of determining the auditing target can be repeated; if the data state is normal, a final target emissions manifest may be constructed based on the normal data. Therefore, the invention provides a systematic, modeled and streamlined emission list determination method, which aims to quickly and systematically complete the examination and revision of the emission list, and further scientifically, reasonably and accurately reflect the latest emission conditions of different pollution sources and different pollutants.
An exemplary embodiment of the present invention also provides an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor, the computer program, when executed by the at least one processor, is for causing the electronic device to perform a method according to an embodiment of the invention.
Exemplary embodiments of the present invention also provide a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable when executed by a processor of a computer to cause the computer to perform a method according to an embodiment of the present invention.
Exemplary embodiments of the present invention also provide a computer program product comprising a computer program, wherein the computer program is operative, when executed by a processor of a computer, to cause the computer to perform a method according to an embodiment of the present invention.
Referring to fig. 12, a block diagram of a structure of an electronic device 1200, which may be a server or a client of the present invention, which is an example of a hardware device that may be applied to aspects of the present invention, will now be described. Electronic device is intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 12, the electronic apparatus 1200 includes a computing unit 1201, which can perform various appropriate actions and processes in accordance with a computer program stored in a Read Only Memory (ROM)1202 or a computer program loaded from a storage unit 1208 into a Random Access Memory (RAM) 1203. In the RAM 1203, various programs and data necessary for the operation of the device 1200 can also be stored. The computing unit 1201, the ROM 1202, and the RAM 1203 are connected to each other by a bus 1204. An input/output (I/O) interface 1205 is also connected to bus 1204.
Various components in the electronic device 1200 are connected to the I/O interface 1205, including: an input unit 1206, an output unit 1207, a storage unit 1208, and a communication unit 1209. The input unit 1206 may be any type of device capable of inputting information to the electronic device 1200, and the input unit 1206 may receive input numeric or character information and generate key signal inputs related to user settings and/or function controls of the electronic device. Output unit 1207 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, a video/audio output terminal, a vibrator, and/or a printer. Storage unit 1208 may include, but is not limited to, magnetic or optical disks. The communication unit 1209 allows the electronic device 1200 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers, and/or chipsets, such as bluetooth devices, WiFi devices, WiMax devices, cellular communication devices, and/or the like.
Computing unit 1201 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 1201 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The computing unit 1201 performs the respective methods and processes described above. For example, in some embodiments, the method of determining an emissions manifest may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 1208. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 1200 via the ROM 1202 and/or the communication unit 1209. In some embodiments, the computing unit 1201 may be configured to perform the method of determining an emissions manifest in any other suitable manner (e.g., by means of firmware).
Program code for implementing the methods of the present invention may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

Claims (12)

1. A method of determining an emissions inventory, the method comprising:
step 1, acquiring a first discharge amount of a target pollutant in a current discharge list and a second discharge amount of the target pollutant in a historical discharge list;
step 2, determining the current data state of the target pollutant according to the first discharge amount and the second discharge amount, wherein the data state comprises abnormal or normal;
step 3, if the current data state is abnormal, determining an audit target according to the target source class to which the target pollutant belongs, revising the audit target and updating the first discharge amount;
step 4, acquiring a current first emission amount in a current emission list updated based on the audit target;
step 5, determining the current data state of the target pollutant according to the current first discharge amount and the current second discharge amount, and executing the step 3-5 if the current data state is abnormal; if the current data state is normal, executing step 6;
step 6, determining the current first discharge amount as data of a target discharge list, and adding the data into the target discharge list;
wherein, the determining an audit target according to the target source class to which the target pollutant belongs and the emission factor of the target pollutant comprises:
when the target source class to which the target pollutant belongs is a second source class, determining a target administrative division with abnormal data; wherein the second source class is used for representing administrative division sources;
determining whether the emission factors of the target administrative division are consistent in the current emission list and the historical emission list;
if the current administrative division is consistent with the target administrative division, determining an auditing target according to the activity level information of the target administrative division;
and if the emission factors are inconsistent, determining an auditing target according to the correctness indication information of the emission factors of the target administrative division.
2. The method of claim 1, wherein determining the current data status of the target pollutant based on the first emission amount and the second emission amount comprises:
determining a ratio of the second discharge amount to the first discharge amount;
determining whether the ratio belongs to a desired ratio;
if the ratio belongs to the expected ratio, judging that the current data state of the target pollutant is normal;
and if the ratio does not belong to the expected ratio, judging that the current data state of the target pollutant is abnormal.
3. The method of determining an emissions manifest according to claim 2, wherein said determining whether said ratio is a desired ratio comprises:
determining whether the ratio is in a first preset range or not, wherein the first preset range is used for indicating that data catastrophe exists in the first discharge amount;
if the ratio is in the first preset range, judging that the current data state of the target pollutant is abnormal;
if the ratio is not in the first preset range, determining whether the ratio is in a second preset range, wherein the second preset range is used for indicating that the first discharge amount has non-catastrophe abnormity;
if the ratio is in the second preset range, judging that the current data state of the target pollutant is abnormal;
if the ratio is not within the second preset range, determining whether the ratio is within a desired ratio.
4. The method for determining the emission list according to claim 1, wherein if the current data state is abnormal, determining an audit target according to the target source class to which the target pollutant belongs and the emission factor of the target pollutant comprises:
when the target source class to which the target pollutant belongs is a first source class, determining a target industry with abnormal data; wherein the first source class is used to represent an industrial enterprise source;
determining whether the emission factors of the target industry are consistent in the current emission list and the historical emission list;
if the product yield information is consistent with the product yield information of the target industry, determining an auditing target;
and if the discharge factors are inconsistent, determining an auditing target according to the correctness indication information of the discharge factors of the target industry.
5. The method of claim 4, wherein determining an audit target based on product yield information for the target industry comprises:
obtaining first product yield information of the target industry from the current emission list;
obtaining second product yield information of the target industry from the historical emission list;
determining whether a difference between the first product yield information and the second product yield information is less than a set yield threshold;
if the current emission list is smaller than the historical emission list, determining first difference information between the processing efficiency of the target industry in the current emission list and the processing efficiency of the target industry in the historical emission list; determining the auditing target as the processing efficiency of the target industry; outputting the first difference information and a determined auditing target;
if not, determining that the auditing objective is the activity level of the objective industry; and outputting the determined auditing target.
6. The method for determining an emission manifest according to claim 4, wherein said determining an audit target based on the correctness indication information of the emission factor of the target industry comprises:
acquiring correctness indication information of the emission factor of the target industry, wherein the correctness indication information is used for indicating whether the emission factor is selected correctly or incorrectly;
when the correctness indication information indicates that the emission factor is correctly selected, determining an auditing target according to the product yield information of the target industry;
when the correctness indication information indicates that the emission factor selection is wrong, determining that an audit target is the emission factor of the target industry; and outputting the determined auditing target.
7. The method of claim 4, wherein prior to determining whether the emission factor of the target industry is consistent, further comprising:
determining enterprise change information of the target industry relative to the historical emission list in the current emission list, wherein the enterprise change information comprises information of production stopping enterprises and newly added enterprises;
and updating the enterprise information of the target industry based on the enterprise change information.
8. The method for determining an emission list according to claim 1, wherein the determining an audit target according to the activity level information of the target administrative district includes:
determining second difference information between activity levels of the target administrative regions in the current emission list and the historical emission list;
determining an activity level of an audit target as the target administrative division;
and outputting the second difference information and the determined auditing target.
9. The method for determining an emission list according to claim 1, wherein the determining an audit target according to the correctness indication information of the emission factor of the target administrative division includes:
acquiring correctness indication information of the emission factors of the target administrative division, wherein the correctness indication information is used for indicating whether the emission factors are selected correctly or incorrectly;
when the correctness indication information indicates that the emission factor is correctly selected, determining an auditing target according to the activity level information of the target administrative division;
when the correctness indication information indicates that the emission factor selection is wrong, determining that an audit target is the emission factor of the target administrative division; and outputting the determined auditing target.
10. An emission manifest determination apparatus, comprising:
the acquisition module is used for executing the step 1, acquiring a first emission amount of a target pollutant in a current emission list and a second emission amount of the target pollutant in a historical emission list;
a determining module, configured to perform step 2, and determine a current data state of the target pollutant according to the first discharge amount and the second discharge amount, where the data state includes abnormal or normal; step 3, if the current data state is abnormal, determining an audit target according to the target source class to which the target pollutant belongs, revising the audit target and updating the first discharge amount;
the updating module is used for executing the step 4 and acquiring a current first emission amount in a current emission list updated based on the auditing target;
the determining module is further configured to execute step 5, determine a current data state of the target pollutant according to the current first discharge amount and the current second discharge amount, and execute step 3-5 if the current data state is abnormal; if the current data state is normal, executing step 6; step 6, determining the current first discharge amount as data of a target discharge list, and adding the data into the target discharge list;
wherein the determination module is to: when the target source class to which the target pollutant belongs is a second source class, determining a target administrative division with abnormal data; wherein the second source class is used for representing administrative division sources; determining whether the emission factors of the target administrative division are consistent in the current emission list and the historical emission list; if the current administrative division is consistent with the target administrative division, determining an auditing target according to the activity level information of the target administrative division; and if the emission factors are inconsistent with the emission factors of the target administrative district, determining an auditing target according to the correctness indication information of the emission factors of the target administrative district.
11. An electronic device, comprising:
a processor; and
a memory for storing the program, wherein the program is stored in the memory,
wherein the program comprises instructions which, when executed by the processor, cause the processor to carry out the method according to any one of claims 1-9.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the method of any one of claims 1-9.
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Citations (2)

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