CN110705855A - Enterprise environment portrait evaluation method and system - Google Patents
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Abstract
The invention discloses an enterprise environment portrait evaluation method, which comprises the following steps: collecting environmental data information of an enterprise; carrying out standardization processing on the data; ranking the standardized data according to a preset rule, selecting a certain ranked data value, determining a scoring index in real time, and calculating to obtain the scoring index required by enterprise environment portrait evaluation; according to the obtained grading indexes, a three-level enterprise environment image evaluation model is constructed, and grading rules corresponding to the three-level indexes are set; and acquiring enterprise standardized information, calculating according to the established three-level enterprise environment portrait evaluation model to obtain enterprise environment portrait scores, and generating enterprise environment portrait labels according to the obtained enterprise environment portrait scores. A three-level enterprise environment portrait evaluation system is established, an enterprise environment label is used during evaluation and display, an environment manager masters the main environmental problems of regional enterprises, evaluation indexes are comprehensive in direction, a dynamic updating mechanism is provided, and the problem that fixed indexes are possibly invalid along with time is avoided.
Description
Technical Field
The invention relates to the technical field of enterprise environment behavior evaluation, in particular to an enterprise environment portrait evaluation method and system.
Background
The purpose of enterprise environmental behavior evaluation is to analyze risks of potential threats, harmful factors, possible emergencies or accidents, personal safety, health damage, environmental pollution and the like in the production and operation process of an enterprise, so that reasonable and feasible precautionary, emergency and slowing measures are provided, and the influence of the enterprise, personnel and the environment reaches an acceptable level. The enterprise environmental behavior evaluation is also different from the existing safety evaluation and environmental impact evaluation in China.
Chinese patent document CN 108564267 a discloses an enterprise environmental risk evaluation system and method, the system includes an original database, an inspection quantification module, a trusted database, a knowledge base, an evaluation module, a model base, an acquisition module and a calculation module, the model base includes a plurality of enterprise environmental risk evaluation models corresponding to different industries and a general evaluation model. The method covers potential environmental risk factors existing in daily production and operation processes of enterprises in different industries, and can comprehensively and objectively evaluate the environmental pollution risk of the enterprises. The method can only evaluate the environmental risk, and cannot comprehensively evaluate the total of the interactive relation behaviors of the enterprise and the environment, namely the enterprise environmental portrait.
The existing environmental evaluation method mainly has the following defects:
1. the evaluation index has a single direction and cannot cover the main environmental behaviors related to the enterprise.
2. The evaluation index system industry is generally poor in applicability and only aims at a single industry.
3. The evaluation index scoring standard has strong subjectivity, and the evaluation result is easily interfered by subjective attitude.
4. The evaluation index scoring standard is fixed, is only suitable for the standard making period, and lacks a dynamic updating mechanism.
Disclosure of Invention
In order to solve the existing technical problems, the invention provides an enterprise environment portrait evaluation method and system, a three-level enterprise environment portrait evaluation system is constructed, an enterprise environment label is used during evaluation and display, a calculation result is suitable for an environment manager to master the main environmental problems of regional enterprises, the evaluation index direction is comprehensive, a dynamic updating mechanism is provided, and the problem that a fixed index may lose effectiveness over time is avoided.
The technical scheme of the invention is as follows:
an enterprise environment portrait evaluation method comprises the following steps:
s01: collecting environmental data information of an enterprise to generate an original database;
s02: standardizing the data of the original database, arranging all the data of an enterprise into a standard format, and storing the standardized data in a standardized database;
s03: ranking all data of the standardized database according to a preset rule, selecting a certain ranked data value, determining a scoring index in real time, and calculating to obtain the scoring index required by enterprise environment portrait evaluation;
s04: according to the obtained scoring indexes, a three-level enterprise environment portrait evaluation model is constructed, a first-level index comprising 7 dimensions is established, the 7 dimensions are compliance management, administrative punishment, social supervision, pollution discharge, resource utilization, ecological protection and environmental risks, a plurality of second-level indexes are arranged under the first-level index, a plurality of third-level indexes are arranged under the second-level index, the sum of the total scores of the second-level indexes corresponding to the third-level index items is a second-level index score, the sum of the total scores of the first-level indexes corresponding to the second-level index is a first-level index score, and scoring rules corresponding to the third-level indexes are set;
s05: and acquiring enterprise standardized information, calculating according to the established three-level enterprise environment portrait evaluation model to obtain enterprise environment portrait scores, and generating enterprise environment portrait labels according to the obtained enterprise environment portrait scores.
In a preferred technical solution, the data source for collecting the environmental data information of the enterprise in step S01 includes an enterprise environment census information table, enterprise emission monitoring data, online monitoring data published by the enterprise, administrative penalty information, an enterprise environment evaluation report, and enterprise environment news from the internet.
In a preferred embodiment, the step S02 of normalizing the data includes the following steps:
acquiring data of an original database, and carrying out rationality inspection on the existing data;
judging the data type, classifying according to different data types, directly searching key words of the data files with standard formats, recognizing the character information stored by pictures by characters, and prompting manual processing for unrecognized data;
the data normalizes missing data, suggesting supplemental data.
In a preferred embodiment, the generating an enterprise environment representation label in step S05 includes the following steps:
setting enterprise environment labels according to main environmental problems faced by enterprises;
setting a judgment condition for each enterprise environment label, and establishing an enterprise environment label model;
and comparing the obtained environment portrait score of the enterprise with the judgment condition, and if the condition is met, generating an enterprise environment portrait label.
The invention also discloses an enterprise environment portrait evaluation system, which comprises:
the enterprise environment data information acquisition module is used for acquiring environment data information of an enterprise and generating an original database;
the data standardization module is used for standardizing the data of the original database, arranging all the data of an enterprise into a standard format and storing the standardized data in the standardized database;
the dynamic index module ranks all data of the standardized database according to a preset rule, selects a certain ranked data value, determines a scoring index in real time, and calculates the scoring index required by enterprise environment portrait evaluation;
the model base establishing module is used for establishing a three-level enterprise environment portrait evaluation model according to the obtained grading indexes, establishing a first-level index comprising 7 dimensions, wherein the 7 dimensions are compliance management, administrative punishment, social supervision, pollution discharge, resource utilization, ecological protection and environmental risk, a plurality of second-level indexes are arranged under the first-level index, a plurality of third-level indexes are arranged under the second-level index, the sum of the total scores of the second-level indexes corresponding to the third-level index items is a second-level index score, the sum of the total scores of the first-level indexes corresponding to the second-level indexes is a first-level index score, and grading rules corresponding to the third-level indexes are set;
the calculation module is used for acquiring enterprise standardized information and calculating according to the established three-level enterprise environment portrait evaluation model to obtain the enterprise environment portrait score;
and the label module generates an enterprise environment portrait label according to the obtained enterprise environment portrait score.
In an optimal technical scheme, the data acquisition source of the enterprise environmental data information acquisition module comprises an enterprise environment general survey information table, enterprise emission monitoring data, enterprise open online monitoring data, administrative penalty information, an enterprise environment evaluation report and enterprise environment news from the internet.
In a preferred technical solution, the data normalization of the data normalization module includes the steps of:
acquiring data of an original database, and carrying out rationality inspection on the existing data;
judging the data type, classifying according to different data types, directly searching key words of the data files with standard formats, recognizing the character information stored by pictures by characters, and prompting manual processing for unrecognized data;
the data normalizes missing data, suggesting supplemental data.
In a preferred technical scheme, the tag module generating the enterprise environment portrait tag comprises the following steps:
setting enterprise environment labels according to main environmental problems faced by enterprises;
setting a judgment condition for each enterprise environment label, and establishing an enterprise environment label model;
and comparing the obtained environment portrait score of the enterprise with the judgment condition, and if the condition is met, generating an enterprise environment portrait label.
Compared with the prior art, the invention has the advantages that:
1. from the perspective of enterprise environment management, a three-level enterprise environment portrait evaluation system is constructed by combining main factors of enterprise environment behaviors, and a calculation result is suitable for an environment manager to master main environmental problems of regional enterprises and is also suitable for enterprise mining environment short boards to pointedly improve environment performance.
2. The evaluation indexes are comprehensive in direction, the important aspects of 7 enterprise environment performances are fused for the first time, and the evaluation method is greatly improved compared with the traditional evaluation method in a single direction. The evaluation indexes have cross-industry and cross-region applicability, and can be used for comparing the environmental performance of enterprises in different regions and different industries.
3. The research of the evaluation method is based on the relevant work of environmental protection big data, the objective data is completely referred to in the selection of indexes, and the similar fuzzy subjective evaluation of 'good, medium and poor' and the like in the general evaluation method is avoided.
4. Part of core indexes in the evaluation system are changed in real time through calculation according to the updating condition of the database, so that the problem that fixed indexes are possibly invalid along with time is avoided. Meanwhile, core index values can be set in a targeted manner according to different evaluation ranges (industries and regions).
5. When the evaluation system evaluates and shows, enterprise environment labels are used for the first time, are set according to more prominent problems in the scores of the evaluation system, and can be used for visually showing the most prominent environmental problems of enterprises.
Drawings
The invention is further described with reference to the following figures and examples:
FIG. 1 is a flowchart of an enterprise environment portrait evaluation method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Example (b):
the preferred embodiments of the present invention will be further described with reference to the accompanying drawings.
According to the enterprise environment portrait evaluation system, the main data is from enterprise environment general survey and internet capture, objective quantitative indexes are used in the evaluation method and the indexes, the evaluation model is updated through the dynamic indexes, the objective performance of the data source and the evaluation method can ensure that the evaluation result of the enterprise environment portrait is real and objective, the accurate and reasonable enterprise environment portrait can reveal the main environmental problems of the enterprise, and the system has important significance for strengthening enterprise environment management and improving enterprise environment performance.
An enterprise environment portrait evaluation system specifically comprises an original database, a data standardization module, a standardization database, a dynamic index module, a model library, a calculation module and a label module.
The enterprise environmental data information acquisition module acquires enterprise environmental data information, including an enterprise environment general survey information table, enterprise emission monitoring data, enterprise open online monitoring data, administrative punishment information, enterprise environment evaluation reports, enterprise environmental news from the Internet and the like. The original database is used for storing the collected enterprise original environment data content;
the data standardization module is used for standardizing the original data, carrying out rationality inspection on the existing data, returning the missing data to the original database for supplementation and perfection, and arranging all the data of an enterprise into a standard format;
the standardized database is used for storing index data required by enterprise environment portrait evaluation after standardized processing for reading by the computing module;
the dynamic index module is used for generating dynamic indexes in real time, calculating a data source standardized database, and reading a calculation result by the calculation module; ranking all data of the standardized database according to a preset rule, selecting a certain ranked data value, determining a scoring index in real time, and calculating to obtain the scoring index required by enterprise environment portrait evaluation;
the model base is used for storing a general enterprise environment portrait evaluation model, and the model base comprises seven dimensions of compliance management, administrative punishment, social supervision, pollution emission, resource utilization, ecological protection, environmental risk and the like; according to the obtained scoring indexes, a three-level enterprise environment portrait evaluation model is constructed, a first-level index comprising 7 dimensions is established, the 7 dimensions are compliance management, administrative punishment, social supervision, pollution discharge, resource utilization, ecological protection and environmental risks, a plurality of second-level indexes are arranged under the first-level index, a plurality of third-level indexes are arranged under the second-level index, the sum of the total scores of the second-level indexes corresponding to the third-level index items is a second-level index score, the sum of the total scores of the first-level indexes corresponding to the second-level index is a first-level index score, and scoring rules corresponding to the third-level indexes are set;
the calculation module is used for calculating according to an enterprise environment portrait evaluation model provided by the model base, enterprise standardized information stored in the standardized database and a dynamic evaluation standard generated by the dynamic index module to obtain an enterprise environment portrait score;
and the label module is used for generating an enterprise environment label according to the enterprise environment portrait score.
The tag module generating the enterprise environment portrait tag comprises the following steps:
setting enterprise environment labels according to main environmental problems faced by enterprises;
setting a judgment condition for each enterprise environment label, and establishing an enterprise environment label model;
and comparing the obtained environment portrait score of the enterprise with the judgment condition, and if the condition is met, generating an enterprise environment portrait label.
The label module comprises a screening module, the enterprises with the same labels are screened according to input screening conditions, enterprise information is displayed, and the enterprises with the same type of environment labels can be rapidly screened according to the environment labels.
The label module also comprises a personalized definition module which is used for setting enterprise environment labels; and setting a judgment condition for each enterprise environment label, and establishing an enterprise environment label model. The environment tags can be dynamically and individually defined according to management needs.
As shown in FIG. 1, the enterprise environment portrait evaluation method of the invention comprises the following steps:
the method comprises the following steps: acquiring enterprise original data and putting the enterprise original data into an original database;
step two: the data standardization module reads the original data content from the original data according to the evaluation item requirements of the model base and checks the data reasonableness; when the original database is lost, returning to the original database to collect data content again; storing the data after data standardization processing in a standardized database;
step three: the dynamic index module calculates a grading index required by enterprise environment portrait evaluation according to the standardized database;
step four: the model calculation module is used for reading enterprise data from the standardized database and calculating the environmental portrait score of the enterprise according to the enterprise portrait evaluation method and the dynamic standard;
step five: and the label module reads each score of the enterprise environment portrait to generate an enterprise environment label.
The environmental data information of the enterprise is input into the original database, and comprises an enterprise environment general survey information table, enterprise emission monitoring data, enterprise open online monitoring data, administrative penalty information, enterprise environment evaluation reports, enterprise environment news from the Internet and the like.
The data standardization module preprocesses the original database and comprises the following steps:
acquiring data of an original database, and carrying out rationality inspection on the existing data;
judging the data type, classifying according to different data types, directly searching key words of the data files with standard formats, recognizing the character information stored by pictures by characters, and prompting manual processing for unrecognized data;
standardizing missing data by data, and prompting supplementary data;
the data that is standardized is stored in a standardized database.
The dynamic index module is used for calculating the dynamic index of the evaluation, and in order to ensure that the index of the evaluation system can be suitable for a long time, before each evaluation, the system can rank according to all data of the current enterprise database to be evaluated, the ranking can be according to the data time sequence, or according to the data value size sequencing, and the like, and the specific index is determined according to the data value of a certain rank. When enterprise data is updated and an evaluation range enterprise set is changed (for example, for an enterprise in a certain region and a certain industry), index values are changed, so that the indexes of the evaluation system are dynamically changed.
And constructing a three-level enterprise environment portrait evaluation model by using data in the standardized database and indexes generated by the dynamic index module.
The scoring item setting and scoring method in the specific evaluation model comprises the following steps:
the evaluation index of the enterprise environment portrait is a three-level index, wherein the first-level index is divided into 7 dimensions, and comprises compliance management, administrative punishment, social supervision, pollution and pollution discharge, resource utilization, ecological protection and environmental risk. The number of the second-level indexes is 25 under the first-level indexes, and the number of the third-level indexes is 43 under the second-level indexes. The total score sum of the second-level indexes corresponding to the third-level index items is a second-level index score, the total score sum of the first-level indexes corresponding to the second-level indexes is a first-level index score, and the specific scoring detailed rules are as follows:
and adding an environment portrait label for the enterprise according to each score of the enterprise environment portrait and a judgment rule of the enterprise environment label.
The setting and scoring method of the enterprise environment tags comprises the following steps:
the enterprise portrait evaluation system of the embodiment designs 26 enterprise environment tags, and can qualitatively and intuitively display the outstanding environmental problems of enterprises.
| Environmental label | Determination conditions |
| Data loss | The basic business information lack items reach 3 or more |
| Is not built in batch | The project fails to pass the environmental evaluation examination and approval |
| Certificateless pollution discharge | Without permission to discharge pollution or having expired |
| Device exception | The normal operation rate of the treatment facilities is below 80 percent |
| Recent law of offence | The illegal conditions exist within 1 year and no historical illegal conditions exist |
| History violation | No illegal conditions exist within 1 year and historical illegal conditions exist |
| Long term law of violation | The illegal conditions exist in 1 year and history |
| Recent complaints | Complaints exist within 1 year and no history complaints exist |
| Historical complaints | No complaint condition exists within 1 year and historical complaint conditions exist |
| Long term complaints | Complaints exist within 1 year and history |
| Air pollution big house | Atmospheric pollutionDyeing score of 20 points or less |
| Sulfur dioxide discharge amplifying household | Sulfur dioxide emission score of 1/0 points |
| Nitrogen oxide emission amplifying chamber | NOx emission score of 1/0 points |
| VOCs row amplifier | VOCs emission score of 1/0 points |
| Water pollution household | Water pollution term score of 20 points or less |
| COD discharging large household | COD discharge score of 1/0 points |
| Ammonia nitrogen discharging and amplifying house | The ammonia nitrogen discharge score is 1/0 points |
| Total phosphorus row enlarged house | Total phosphorus emission score of 1/0 points |
| Solid waste generating households | The solid waste score is 3 points or less |
| Large household for dangerous waste generation | The dangerous waste score is 6 or less |
| High energy consumption | The comprehensive energy consumption score is 6 points or less |
| High water consumption | Fresh water score of 6 or less |
| Coal burning large household | The coal consumption score is 6 points or less |
| Improper site selection | Improper site selection layout |
| High risk | The total environmental risk category is less than 60 points |
Enterprises with similar problems can be quickly screened according to the environment labels. The environment tag can be dynamically and individually defined according to management needs.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (8)
1. An enterprise environment portrait evaluation method is characterized by comprising the following steps:
s01: collecting environmental data information of an enterprise to generate an original database;
s02: standardizing the data of the original database, arranging all the data of an enterprise into a standard format, and storing the standardized data in a standardized database;
s03: ranking all data of the standardized database according to a preset rule, selecting a certain ranked data value, determining a scoring index in real time, and calculating to obtain the scoring index required by enterprise environment portrait evaluation;
s04: according to the obtained scoring indexes, a three-level enterprise environment portrait evaluation model is constructed, a first-level index comprising 7 dimensions is established, the 7 dimensions are compliance management, administrative punishment, social supervision, pollution discharge, resource utilization, ecological protection and environmental risks, a plurality of second-level indexes are arranged under the first-level index, a plurality of third-level indexes are arranged under the second-level index, the sum of the total scores of the second-level indexes corresponding to the third-level index items is a second-level index score, the sum of the total scores of the first-level indexes corresponding to the second-level index is a first-level index score, and scoring rules corresponding to the third-level indexes are set;
s05: and acquiring enterprise standardized information, calculating according to the established three-level enterprise environment portrait evaluation model to obtain enterprise environment portrait scores, and generating enterprise environment portrait labels according to the obtained enterprise environment portrait scores.
2. The method for evaluating an enterprise environment representation as claimed in claim 1, wherein the data sources for collecting the environment data information of the enterprise in step S01 include an enterprise environment census information table, enterprise emission monitoring data, enterprise public online monitoring data, administrative penalty information, enterprise environment evaluation reports, and enterprise environment news from the internet.
3. The method for evaluating an enterprise environment representation as recited in claim 1, wherein the step of normalizing data in step S02 comprises the steps of:
acquiring data of an original database, and carrying out rationality inspection on the existing data;
judging the data type, classifying according to different data types, directly searching key words of the data files with standard formats, recognizing the character information stored by pictures by characters, and prompting manual processing for unrecognized data;
the data normalizes missing data, suggesting supplemental data.
4. The method for evaluating an enterprise environment representation according to claim 1, wherein the step S05 of generating an enterprise environment representation label comprises the steps of:
setting enterprise environment labels according to main environmental problems faced by enterprises;
setting a judgment condition for each enterprise environment label, and establishing an enterprise environment label model;
and comparing the obtained environment portrait score of the enterprise with the judgment condition, and if the condition is met, generating an enterprise environment portrait label.
5. An enterprise environment representation evaluation system, comprising:
the enterprise environment data information acquisition module is used for acquiring environment data information of an enterprise and generating an original database;
the data standardization module is used for standardizing the data of the original database, arranging all the data of an enterprise into a standard format and storing the standardized data in the standardized database;
the dynamic index module ranks all data of the standardized database according to a preset rule, selects a certain ranked data value, determines a scoring index in real time, and calculates the scoring index required by enterprise environment portrait evaluation;
the model base establishing module is used for establishing a three-level enterprise environment portrait evaluation model according to the obtained grading indexes, establishing a first-level index comprising 7 dimensions, wherein the 7 dimensions are compliance management, administrative punishment, social supervision, pollution discharge, resource utilization, ecological protection and environmental risk, a plurality of second-level indexes are arranged under the first-level index, a plurality of third-level indexes are arranged under the second-level index, the sum of the total scores of the second-level indexes corresponding to the third-level index items is a second-level index score, the sum of the total scores of the first-level indexes corresponding to the second-level indexes is a first-level index score, and grading rules corresponding to the third-level indexes are set;
the calculation module is used for acquiring enterprise standardized information and calculating according to the established three-level enterprise environment portrait evaluation model to obtain the enterprise environment portrait score;
and the label module generates an enterprise environment portrait label according to the obtained enterprise environment portrait score.
6. The system for evaluating an enterprise environment representation as claimed in claim 5, wherein the data collection sources of the enterprise environment data collection module comprise an enterprise environment census information table, enterprise emission monitoring data, enterprise public online monitoring data, administrative penalty information, enterprise environment evaluation reports, and enterprise environment news from the internet.
7. The system for evaluating an enterprise environment representation as recited in claim 5, wherein the data normalization module normalizes data comprising:
acquiring data of an original database, and carrying out rationality inspection on the existing data;
judging the data type, classifying according to different data types, directly searching key words of the data files with standard formats, recognizing the character information stored by pictures by characters, and prompting manual processing for unrecognized data;
the data normalizes missing data, suggesting supplemental data.
8. The system of claim 5, wherein the tag module generates an enterprise environment representation tag comprising the steps of:
setting enterprise environment labels according to main environmental problems faced by enterprises;
setting a judgment condition for each enterprise environment label, and establishing an enterprise environment label model;
and comparing the obtained environment portrait score of the enterprise with the judgment condition, and if the condition is met, generating an enterprise environment portrait label.
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