CN117524374A - Environmental impact evaluation system and device for product ecological process - Google Patents
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Abstract
The invention provides an environmental impact assessment system and a device for a product ecological process, wherein the system comprises: raw material evaluation module: for obtaining an environmental score for the raw material; a process environment assessment module: the method is used for evaluating environmental indexes of the ecological process of the product; modeling evaluation module: the method comprises the steps of establishing a relation model of cost, production activity and environmental influence coefficient, and obtaining items and/or activities which can be improved; personnel health assessment module: for evaluating health information of the person; failure evaluation module: for evaluating the damage of different failure modes of the product; and a feedback module: the system is used for feeding back environmental impact results, projects and/or activities needing improvement, abnormal information and personnel health information to relevant personnel in the ecological process of the product; a user interface module: the system and the device are used for interaction between the system and the user, and the system and the device are used for accurately, comprehensively and objectively evaluating the environmental influence of the ecological process of the product and optimizing the environment and health risks.
Description
Technical Field
The invention relates to the technical field of environmental protection, in particular to an environmental impact evaluation system and device for a product ecological process.
Background
With the increasing severity of global environmental problems, environmental impact assessment of the ecological process of products is becoming of increasing concern. However, the traditional evaluation method for the environmental impact of the ecological process of the product usually only considers a single environmental factor, the environmental impact of the ecological process of the product cannot be comprehensively evaluated, and meanwhile, the traditional evaluation adopts a manual scoring system, so that the evaluation method has the problems of strong subjectivity, inaccurate evaluation result and the like. Therefore, there is a need for a system for estimating the environmental impact of a product ecological process that accurately and comprehensively estimates the environmental impact of the product ecological process.
Disclosure of Invention
The invention provides an environmental impact evaluation system and device for a product ecological process, which are used for accurately, comprehensively and objectively evaluating the environmental impact of the product ecological process, optimizing the environment and health risks in the product ecological process and promoting sustainable development and environmental protection.
The invention provides an environmental impact evaluation system for a product ecological process, which comprises:
raw material evaluation module: for obtaining an environmental score for the raw material;
a process environment assessment module: the method comprises the steps of evaluating environmental indexes of a product ecological process, and determining improvement and attention targets according to an evaluation result;
Modeling evaluation module: the relationship model is used for establishing cost, production activities and environmental influence coefficients; setting a cost threshold, and obtaining items and/or activities which can be improved according to the cost threshold, the improvement target and the relation model;
personnel health assessment module: for assessing health information of personnel, including production manufacturers of products and product users;
failure evaluation module: for evaluating the damage of different failure modes of the product;
and a feedback module: the system is used for feeding back environmental impact results, projects and/or activities needing improvement, abnormal information and personnel health information to relevant personnel in the ecological process of the product;
a user interface module: for interaction between the system and a user, wherein the user interface includes a graphical user interface, a command line interface, and a login interface.
Further, an environmental impact assessment system of a product ecological process, the raw material assessment module comprising:
acquiring a raw material list and raw material cost of a product; wherein the raw materials comprise a main material, an auxiliary material and a packaging material;
carrying out multidimensional grading on the environmental protection property of the product material to obtain a multidimensional grading result of the environmental protection property of the product material; wherein the multi-dimensional score comprises a score for energy consumption, water resource consumption, and waste production of the material, and a score for the renewable and biodegradable properties of the material; wherein the material has a regenerability score of 0 or 1, a regenerability of 0 and a non-regenerability of 1; the score for biodegradability is 0 or 1, the degradability is 0, and the nondegradablity is 1; respectively scoring energy consumption, water resource consumption and waste generation, wherein each scoring result is respectively recorded, and the scoring result is in a range of 1-5 and takes an integer; marking the material with the single score of 5;
Weighted average is carried out on the multi-dimensional scoring results to obtain overall scores; and marking that the overall score is greater than a threshold.
Further, an environmental impact evaluation system for a product ecological process, wherein the scoring method for energy consumption, water resource consumption and waste generation comprises the following steps:
obtaining a consumption value of each material in the historical data, wherein the consumption value comprises: an energy consumption value, a water resource consumption value, and a content value of the generated waste;
calculating standard deviation NN of consumption values of each material in a sample k Average value SN k ；
Standard deviation NN based on consumption value of each material k Average value SN k Obtaining such a material consumption coefficient; the consumption coefficient includes: energy consumption coefficient, water resource consumption coefficient, and waste generation coefficient:
wherein n is the number of raw material species;
normalizing the consumption coefficients of different materials to obtain normalized consumption coefficient XG i ；
If XG i If the value is less than or equal to 0.1, the corresponding score of the corresponding material is 1, if 0.1 is less than XG i If the value is less than or equal to 0.3, the corresponding score of the corresponding material is 2, if 0.3 is less than XG i If the value is less than or equal to 0.5, the corresponding score of the corresponding material is 3, if 0.5 is less than XG i If not more than 0.8, the corresponding score of the corresponding material is 4, if XG i More than or equal to 0.8; the corresponding score for this corresponding material is 5.
Further, an environmental impact assessment system for a product ecological process, the method of the process environmental assessment module comprising:
dividing the ecological process of the product into a plurality of units; the plurality of units comprise a raw material acquisition unit, a product processing unit, a packaging unit conveying unit and a recycling scrapping unit; the product processing unit is divided into a plurality of processing subunits according to the process flow;
periodically collecting environmental parameters of each unit, wherein the environmental parameters comprise waste discharge capacity, carbon discharge capacity and wastewater discharge capacity of each unit; collecting the technological process, required equipment and operation conditions of each processing subunit;
setting a first statistical period, and obtaining a plurality of acquisition results in the last first statistical period;
preprocessing the data acquired by any parameter of each unit to obtain preprocessed data, wherein the preprocessing comprises removing abnormal values; the data of each subunit of the product processing unit are respectively analyzed and processed;
the outliers are:
C ij ≥2C i1 -C i2 or C ij ≤2C i3 -C i4 ；
Wherein C is i1 Values corresponding to 95% distribution of the parameters for this; c (C) i2 Values corresponding to 75% distribution of this parameter; c (C) i3 Values corresponding to 5% distribution of this parameter; c (C) i4 The corresponding value of the 25% distribution of the parameter is used for the purpose;
carrying out statistical analysis on the preprocessed data to obtain a final value of the parameter of the corresponding unit;
if a certain parameter of a certain unit accords with normal distribution, taking the distribution mean value as the final value of the parameter of the corresponding unit;
if the corresponding parameter does not meet the normal distribution of some other subunit, the final value of the unit corresponding to the parameter is;
wherein C is iz The unit corresponds to the final value of the parameter, C ic The unit corresponds to the median value of the parameter distribution; c (C) il 、C ih The units correspond to the referenceTwo quarter-bit values of the number distribution;
if the data of each unit of a certain parameter does not accord with normal distribution, normal distribution conversion is carried out firstly, and the average value is taken as the final value of the parameter after conversion;
calculating the total amount of the same environmental parameter in different units according to the final value of the environmental parameter of each unit;
calculating the total amount of the same environmental parameter in different units according to the final value of the environmental parameter of each unit; calculating the duty ratio of each unit of the parameter as a first environmental impact coefficient;
scoring the risk coefficient corresponding to the parameter to obtain a risk coefficient score;
Obtaining a final environmental influence coefficient of each unit according to a plurality of first influence coefficients and corresponding parameter risk coefficients of the unit;
the final environmental impact coefficients are: y=w1×y1+w2×y2+ & gt wn×yn;
wherein w1, w2, wn are risk coefficient scores; y1, Y2 and Yn are first environmental impact coefficients obtained by different units according to different parameters;
setting an environmental parameter threshold, and taking a unit node corresponding to a parameter larger than the environmental parameter threshold as an improvement target;
labeling the subunits containing the parameters of the risk coefficient 5; as an improvement and/or attention objective;
setting a final environmental impact coefficient threshold value, and taking the unit nodes corresponding to the threshold value as improvement and/or attention targets;
if the final environmental impact coefficients of all the units are smaller than the threshold value, ranking the final environmental impact coefficients to obtain an environmental impact ranking result;
and taking the unit corresponding to the influence coefficient which is ranked at the front as an improvement and/or attention target.
Further, an environmental impact assessment system for a product ecological process, the modeling assessment comprising:
setting a second statistical period, and counting the cost of each unit, wherein the cost comprises material cost, equipment cost, scrapping cost and labor cost;
Establishing a relation model of cost, production activity and environmental impact coefficient through a neural network;
a cost threshold is set and improved projects and/or activities are obtained based on the cost threshold, the improvement objectives and the relationship model of costs, production activities and environmental impact coefficients.
Further, an environmental impact assessment system of a product ecological process, the health assessment module comprising:
the method comprises the steps of regularly collecting health information of personnel, wherein the health information of product manufacturers is obtained through a health examination mode, taking the production personnel corresponding to important attention and improvement target subunits obtained by a production evaluation module as attention objects, pertinently making health examination items, and performing on-duty production;
usage feedback for the product is periodically obtained, including health problems created by the use of the product.
Further, an environmental impact assessment system for a product ecological process, the failure assessment module comprising:
acquiring a failure mode of a product, performing failure hazard evaluation according to the failure mode to obtain an evaluation result, and grading through two dimensions; the two dimensions are the hazard degree generated by failure and the probability of failure; if a situation is encountered where a certain degree of hazard or failure mode cannot be expected; scoring the highest score; the damage degree score of failure is 1-5 points; the probability score of failure is 1-5 points; failure modes with two dimensional scoring results exceeding 4 points simultaneously are taken as important monitoring and improvement targets.
Further, an environmental impact assessment system of a product ecological process, the feedback module comprising:
environmental impact result feedback: the environmental impact assessment result calculated by the data processing module is presented to related personnel in a visual form;
improvement project and/or activity feedback: providing suggestions for improving the project and/or activity according to the environmental impact assessment result through a feedback module based on the modeling assessment module;
abnormal information feedback: if the system detects that the environmental data of a certain unit is abnormal or exceeds a preset threshold value, the feedback module sends an alarm or an abnormal notification to related personnel in time.
Further, an environmental impact assessment system for a product ecological process, the user interface module comprising:
login interface: obtaining user information and operation authority through a login interface;
graphical user interface: displaying environmental impact assessment results, improvement project and/or activity suggestions and abnormal information feedback contents in a visual mode;
command line interface: presenting the user with the input commands and parameters in a text manner;
data visualization tool: the processed data are presented to the user in various chart forms.
The invention provides an environmental impact assessment device for a product ecological process, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the memory, wherein the processor executes the program to run the environmental impact assessment system for the product ecological process.
The invention has the beneficial effects that: according to the system and the device for evaluating the environmental impact of the product ecological process, disclosed by the invention, the system can evaluate the energy consumption, the water resource consumption and the waste generation conditions of raw materials more objectively through the environmental scoring of the raw materials, so that human intervention and subjective errors are reduced. The system normalizes consumption coefficients of different materials and maps the consumption coefficients to different scoring areas, so that specific energy consumption, water resource consumption and waste generation scores are obtained. This quantitative evaluation approach allows for clearer, easier to understand and compare results. By evaluating the environmental impact of the ecological process of the product, enterprises can know the sustainability of the product, provide decision support for future sustainable development, and promote the sustainable development of enterprises and society. Through the evaluation of the process environment evaluation module, the target needing to be improved and focused can be determined, and a corresponding environment management strategy is formulated, so that the environmental pollution and the resource waste are reduced. And a relation model among the cost, the production activity and the environmental impact coefficient is established, and the cost threshold and the improvement target are combined, so that the resource utilization can be optimized, the environmental impact is reduced, and the economic benefit is increased. The personnel health evaluation module can identify potential health risks and take corresponding measures for prevention and management, so that production and manufacturing personnel and product users are safer. The failure hazard assessment module can assess the hazard degree of the product in different failure modes, and corresponding product improvement and safety management measures are formulated, so that potential environmental and health risks are reduced. The feedback module can feed back environmental influence results, projects and/or activities needing improvement, abnormal information and personnel health information to relevant personnel in the product ecological process, help the relevant personnel know the environmental influence and health risk of the product ecological process, and provide improvement suggestions and management measures. The user interface module can provide interaction modes such as a graphical user interface, a command line interface, a login interface and the like for a user, so that the user can use the system more conveniently. In a word, the environmental impact evaluation system of the product ecological process can effectively evaluate, manage and optimize the environmental and health risks in the product ecological process, and promote sustainable development and environmental protection.
Drawings
FIG. 1 is a schematic diagram of an environmental impact assessment system for a product ecological process.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, and the described embodiments are merely some, rather than all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
An environmental impact evaluation system of a product ecological process of the embodiment, the system includes:
Raw material evaluation module: for obtaining an environmental score for the raw material;
a process environment assessment module: the method comprises the steps of evaluating environmental indexes of a product ecological process, and determining improvement and attention targets according to an evaluation result;
modeling evaluation module: the relationship model is used for establishing cost, production activities and environmental influence coefficients; setting a cost threshold, and obtaining items and/or activities which can be improved according to the cost threshold, the improvement target and the relation model;
personnel health assessment module: for assessing health information of personnel, including production manufacturers of products and product users;
failure evaluation module: for evaluating the damage of different failure modes of the product;
and a feedback module: the system is used for feeding back environmental impact results, projects and/or activities needing improvement, abnormal information and personnel health information to relevant personnel in the ecological process of the product;
a user interface module: for interaction between the system and a user, wherein the user interface includes a graphical user interface, a command line interface, and a login interface.
The working principle of the technical scheme is as follows: the module is used to evaluate the environmental protection score of the raw materials used. By evaluating the raw materials, the degree of influence of the raw materials on the environment can be known, and basic data is provided for subsequent environmental influence evaluation. The module is used for evaluating environmental indexes and influences in the whole production process. By collecting and analyzing environmental data about the production process, it is possible to determine the goals that need improvement and attention, and to formulate a corresponding environmental management strategy. The module is used to model the relationship between cost, production activity and environmental impact coefficients. By setting cost thresholds and improving goals, in conjunction with the established relationship model, improvable items and/or activities can be determined. This helps to optimize resource utilization and reduce environmental impact. The module is used to evaluate health information of personnel associated with the product ecological process, including manufacturing personnel and product use personnel. By assessing the health of personnel, potential health risks can be identified and corresponding measures can be taken for prevention and management. The module is used for evaluating the damage degree of the product under different failure modes. By analyzing the failure modes and the hazards they may cause, corresponding product improvements and safety management measures can be formulated to reduce potential environmental and health risks. The module feeds back environmental impact results, items and/or activities requiring improvement, anomaly information, and personnel health information to personnel associated with the product ecological process. Thus, related personnel can take proper measures according to the feedback information, the ecological process of the product is improved, and the environmental influence and health risk are reduced. The module provides an interactive interface between the system and the user, including a graphical user interface, a command line interface, and a login interface. Through these interfaces, the user can interact with the system, enter relevant data, view assessment results, reports, and the like.
In general, the assessment system helps related personnel to understand the environmental impact and health risks of the product ecology process by collecting, analyzing and assessing key information of each link, and provides improved advice and management measures to promote sustainable development and environmental protection.
The technical scheme has the effects that: the environmental protection score of the raw materials is evaluated, so that environmental awareness in the production process can be improved, and the development and implementation of the enterprise environmental protection concept are promoted. Through the evaluation of the process environment evaluation module, the target needing to be improved and focused can be determined, and a corresponding environment management strategy is formulated, so that the environmental pollution and the resource waste are reduced. And a relation model among the cost, the production activity and the environmental impact coefficient is established, and the cost threshold and the improvement target are combined, so that the resource utilization can be optimized, the environmental impact is reduced, and the economic benefit is increased. The personnel health evaluation module can identify potential health risks and take corresponding measures for prevention and management, so that production and manufacturing personnel and product users are safer. The failure hazard assessment module can assess the hazard degree of the product in different failure modes, and corresponding product improvement and safety management measures are formulated, so that potential environmental and health risks are reduced. The feedback module can feed back environmental influence results, projects and/or activities needing improvement, abnormal information and personnel health information to relevant personnel in the product ecological process, help the relevant personnel know the environmental influence and health risk of the product ecological process, and provide improvement suggestions and management measures. The user interface module can provide interaction modes such as a graphical user interface, a command line interface, a login interface and the like for a user, so that the user can use the system more conveniently. In a word, the environmental impact evaluation system of the product ecological process can effectively evaluate, manage and optimize the environmental and health risks in the product ecological process, and promote sustainable development and environmental protection.
The environmental impact evaluation system of the product ecological process of this embodiment, the raw material evaluation module includes:
acquiring a raw material list and raw material cost of a product; wherein the raw materials comprise a main material, an auxiliary material and a packaging material;
carrying out multidimensional grading on the environmental protection property of the product material to obtain a multidimensional grading result of the environmental protection property of the product material; wherein the multi-dimensional score comprises a score for energy consumption, water resource consumption, and waste production of the material, and a score for the renewable and biodegradable properties of the material; wherein the material has a regenerability score of 0 or 1, a regenerability of 0 and a non-regenerability of 1; the score for biodegradability is 0 or 1, the degradability is 0, and the nondegradablity is 1; respectively scoring energy consumption, water resource consumption and waste generation, wherein each scoring result is respectively recorded, and the scoring result is in a range of 1-5 and takes an integer; marking the material with the single score of 5;
weighted average is carried out on the multi-dimensional scoring results to obtain overall scores; and marking that the overall score is greater than a threshold. The threshold may be based on the score distribution or may be based on environmental objectives.
The evaluation was divided into the following dimensions:
regenerability of materials: some materials, such as wood, bamboo, etc., can be naturally regenerated, while others, such as metal and plastic, etc., cannot;
energy consumption: some materials require a large amount of energy in the production process, such as aluminum and copper, while others require less energy;
consumption of water resources: some materials require a large amount of water during production, such as cotton and flax, while others do not require much water;
waste is generated; some materials produce a large amount of waste, such as glass and plastic, during the production process, while others do not produce much waste.
Biodegradability: some materials are biodegradable under appropriate conditions, while others are not; transportation and storage: some materials require special environmental conditions during transportation and storage, such as temperature and humidity, while others do not.
The working principle of the technical scheme is as follows: by obtaining raw material inventory and raw material costs for a product from an enterprise's production management system, bill of materials (BOM), or other related data sources, the system is able to learn the raw material composition and cost of the product. The system scores the product materials in a multi-dimensional way according to the environmental protection performance of the raw materials. The dimensions of the score include scoring of the energy consumption, water resource consumption, and waste production of the material, as well as scoring of the renewable and biodegradable properties of the material. By setting different score ranges and scoring criteria, the system is able to quantitatively evaluate the environmental performance of each raw material. The system marks a material with a score of 5 as a material that requires special attention. The marking may be a special symbol, color or label for identifying the environmentally poor materials in subsequent evaluation and analysis. The system carries out weighted average on the scoring results of each dimension to obtain overall scores. The weight of the weighted average can be determined according to the importance of different dimensions, and can also be set according to the requirements of users. By combining scores in multiple dimensions, the environmental performance of the raw materials can be more fully evaluated. The system marks materials with overall scores greater than a threshold as materials that require special attention. The threshold may be based on the score distribution or may be based on environmental objectives. The marking may likewise be a special symbol, color or label for identifying the environmentally poor materials in subsequent evaluation and analysis. The system feeds back the evaluation result, the project and/or activity to be improved, the abnormal information and the personnel health information to relevant personnel in the ecological process of the product so as to take measures in time for improvement and adjustment. According to the evaluation result and the feedback information, related personnel can take corresponding measures for materials and activities to be improved, such as changing raw materials, optimizing production flow, improving energy utilization efficiency and the like, so as to reduce the environmental influence of the product. Through continuous evaluation and feedback, enterprises can continuously optimize the ecological process of products, and the aims of environmental protection and sustainable development are achieved.
The technical scheme has the effects that: by evaluating the environmental protection property of the product material, enterprises can find the material with poor environmental protection property, and adopt corresponding improvement measures to improve the environmental protection property of the product. By evaluating the environmental impact of the ecological process of the product, enterprises can know the environmental impact degree of the product, and adopt corresponding improvement measures to reduce the environmental impact of the product. Through improving the environmental protection performance of the product and reducing the environmental impact, enterprises can improve the competitiveness of the enterprises and meet the market demands and the regulation demands. By evaluating the environmental impact of the ecological process of the product, enterprises can know the sustainability of the product, provide decision support for future sustainable development, and promote the sustainable development of enterprises and society.
The environmental impact evaluation system of the product ecological process of the embodiment, the scoring method of energy consumption, water resource consumption and waste generation comprises the following steps:
obtaining a consumption value of each material in the historical data, wherein the consumption value comprises: an energy consumption value, a water resource consumption value, and a content value of the generated waste;
calculating standard deviation N of consumption values of each material in sample k Average value SN k ；
Standard deviation N according to consumption value of each material k Average value SN k Obtaining such a material consumption coefficient; the consumption coefficient includes: energy consumption coefficient, water resource consumption coefficient, and waste generation coefficient:
wherein n is the number of raw material species;
normalizing the consumption coefficients of different materials to obtain normalized consumption coefficient XG i ；
If XG i If the value is less than or equal to 0.1, the corresponding score of the corresponding material is 1, if 0.1 is less than XG i If the value is less than or equal to 0.3, the corresponding score of the corresponding material is 2, if 0.3 is less than XG i If the value is less than or equal to 0.5, the corresponding score of the corresponding material is 3, if 0.5 is less than XG i If not more than 0.8, the corresponding score of the corresponding material is 4, if XG i More than or equal to 0.8; the corresponding score for this corresponding material is 5. If the consumption coefficient is calculated by the energy consumption value, the corresponding energy consumption score is the consumption coefficient of the water resource, and if the consumption coefficient is calculated by the water resource consumption value, the corresponding score is the water resource consumption score; if the consumption coefficient is calculated by the waste generation value, the corresponding score is the waste generation score.
The working principle of the technical scheme is as follows:
obtaining consumption values of each material in the historical data: the system obtains the energy consumption value, the water resource consumption value and the waste content value of each material from the historical data. Such data may come from production records, inspection reports, or other relevant data sources of the enterprise.
And the system performs statistical calculation on the consumption value of each material to obtain standard deviation and average value. These statistics may reflect the consumption level of each material in the historical data and its fluctuations.
Such material consumption coefficients are obtained from standard deviations and average values of each material consumption value: the system adopts the formula according to the standard deviation and the average value of the consumption value of each materialAnd calculating an energy consumption coefficient, a water resource consumption coefficient and a waste generation coefficient. These coefficients may reflect the relative consumption level of each material in the historical data.
Normalizing the consumption coefficients of different materials to obtain normalized consumption coefficient XG i : the system normalizes consumption coefficients of different materials to eliminate the influence of dimension and magnitude. Normalized consumption coefficient XG i A comparison can be made between different materials.
According to normalized consumption coefficient XG i Determining a score: the system is based on the normalized consumption coefficient XG i Mapping it to different scoring intervals, resulting in scores for energy consumption, water resource consumption and waste production. This mapping is based on statistical analysis of the historical data.
Overall score: the system carries out weighted average on scoring results in different dimensions to obtain overall scores. The weight of the weighted average can be determined according to the importance of different dimensions, and can also be set according to the requirements of users. The overall score may reflect the overall environmental impact level of the product ecological process.
Threshold marking: the system marks materials with overall scores greater than a threshold according to the overall scores and the set threshold. The marking may be a special symbol, color or label for identifying the more environmentally influencing materials in subsequent analysis and decision making.
Feedback and improvement advice: the system feeds back the evaluation result, the project and/or activity to be improved, the abnormal information and the personnel health information to relevant personnel in the ecological process of the product so as to take measures in time for improvement and adjustment. According to the evaluation result and the feedback information, related personnel can take corresponding measures for materials and activities to be improved, such as changing raw materials, optimizing production flow, improving energy utilization efficiency and the like, so as to reduce the environmental influence of the product. Through continuous evaluation and feedback, enterprises can continuously optimize the ecological process of products, and the aims of environmental protection and sustainable development are achieved.
The technical scheme has the effects that: by calculating the standard deviation and the average value of the consumption coefficient of each material and scoring based on the standard deviation and the average value, the system can more objectively evaluate the energy consumption, the water resource consumption and the waste generation condition of the raw materials, and reduce human intervention and subjective errors. The system normalizes consumption coefficients of different materials and maps the consumption coefficients to different scoring areas, so that specific energy consumption, water resource consumption and waste generation scores are obtained. This quantitative evaluation approach allows for clearer, easier to understand and compare results. By evaluating the environmental impact of the ecological process of the product, enterprises can know the sustainability of the product, provide decision support for future sustainable development, and promote the sustainable development of enterprises and society.
The environmental impact evaluation system of the product ecological process of the embodiment, the method of the process environmental evaluation module comprises the following steps:
dividing the ecological process of the product into a plurality of units; the plurality of units comprise a raw material acquisition unit, a product processing unit, a packaging unit conveying unit and a recycling scrapping unit; the product processing unit is divided into a plurality of processing subunits according to the process flow;
Periodically collecting environmental parameters of each unit, wherein the environmental parameters comprise waste discharge capacity, carbon discharge capacity and wastewater discharge capacity of each unit; collecting the technological process, required equipment and operation conditions of each processing subunit;
setting a first statistical period, and obtaining a plurality of acquisition results in the last first statistical period; the first statistical period can be one month or two months, and can also be one production period of the product;
preprocessing the data acquired by any parameter of each unit to obtain preprocessed data, wherein the preprocessing comprises removing abnormal values; the data of each subunit of the product processing unit are respectively analyzed and processed;
the outliers are:
C ij ≥2C i1 -C i2 or C ij ≤2C i3 -C i4 ；
Wherein C is i1 Values corresponding to 95% distribution of the parameters for this; c (C) i2 Values corresponding to 75% distribution of this parameter; c (C) i3 Values corresponding to 5% distribution of this parameter; c (C) i4 The corresponding value of the 25% distribution of the parameter is used for the purpose;
carrying out statistical analysis on the preprocessed data to obtain a final value of the parameter of the corresponding unit;
if a certain parameter of a certain unit accords with normal distribution, taking the distribution mean value as the final value of the parameter of the corresponding unit;
if the corresponding parameter does not meet the normal distribution of some other subunit, the final value of the unit corresponding to the parameter is;
Wherein C is iz The unit corresponds to the final value of the parameter, C ic The unit corresponds to the median value of the parameter distribution; c (C) il 、C ih The unit corresponds to two quarter-bit values of the parameter distribution;
if the data of each unit of a certain parameter does not accord with normal distribution, normal distribution conversion is carried out firstly, and the average value is taken as the final value of the parameter after conversion;
calculating the total amount of the same environmental parameter in different units according to the final value of the environmental parameter of each unit;
calculating the total amount of the same environmental parameter in different units according to the final value of the environmental parameter of each unit; calculating the duty ratio of each unit of the parameter as a first environmental impact coefficient;
scoring the risk coefficient corresponding to the parameter to obtain a risk coefficient score; the risk coefficient score is 1-5; for example, a parameter is the content of a substance, and the hazard outcome score of the substance is 5, then the hazard coefficient of the parameter is 5;
obtaining a final environmental influence coefficient of each unit according to a plurality of first influence coefficients and corresponding parameter risk coefficients of the unit;
the final environmental impact coefficients are: y=w1×y1+w2×y2+ & gt wn×yn;
wherein w1, w2, wn are risk coefficient scores; y1, Y2 and Yn are first environmental impact coefficients obtained by different units according to different parameters;
Setting an environmental parameter threshold, and taking a unit node corresponding to a parameter larger than the environmental parameter threshold as an improvement target; the parameter value is the parameter value of original collection;
labeling the subunits containing the parameters of the risk coefficient 5; as an improvement and/or attention objective;
setting a final environmental impact coefficient threshold value, and taking the unit nodes corresponding to the threshold value as improvement and/or attention targets;
if the final environmental impact coefficients of all the units are smaller than the threshold value, ranking the final environmental impact coefficients to obtain an environmental impact ranking result;
and taking the unit corresponding to the influence coefficient which is ranked at the front as an improvement and/or attention target.
The working principle of the technical scheme is as follows: the ecological process of the product is divided into a plurality of units, including a raw material acquisition unit, a product processing unit, a packaging unit, a transportation unit and a recycling scrapping unit. Wherein the product processing unit is further divided into a plurality of processing subunits according to the process flow. Environmental parameters of each unit, including waste discharge, carbon discharge, and wastewater discharge, are periodically collected. At the same time, the process flow, required equipment, and operating conditions of each processing subunit are collected. And setting a first statistical period, and acquiring a result acquired for multiple times in the last first statistical period. The first statistical period can be set to one month, two months or one production period of the product according to actual conditions And (5) a period. And preprocessing the environmental parameter data of each unit, including eliminating abnormal values. And carrying out statistical analysis on the preprocessed data to obtain a final value of the environmental parameter corresponding to each unit. If a certain parameter of a certain unit accords with normal distribution, taking the distribution mean value as a final value; if the normal distribution is not met, then the formula is followedCalculating a final value, wherein C iz The unit corresponds to the final value of the parameter, C ic The unit corresponds to the median value of the parameter distribution; c (C) il 、C ih For this unit two quarter-bit values of this parameter distribution are corresponding.
And calculating the total amount of the same environmental parameter in different units according to the final value of the environmental parameter of each unit.
And calculating a first environmental influence coefficient according to the final value of the environmental parameter of each unit and the total amount of the same environmental parameter in different units. Specifically, the influence coefficient of each cell is the product of its corresponding final value of the environmental parameter and the total duty cycle of that parameter in all cells.
And scoring the risk coefficient of each parameter to obtain a risk coefficient score. For example, if a substance has a hazard outcome score of 5, its risk factor score is 5.
The final environmental impact coefficient of each unit is calculated based on the plurality of first environmental impact coefficients of each unit and the risk coefficient scores of the corresponding parameters.
Setting an environment parameter threshold, and taking a unit node corresponding to a parameter larger than the environment parameter threshold as an improvement target. Meanwhile, the subunits containing the parameters of the risk coefficient 5 are marked as improvement and/or attention targets.
And setting a final environmental impact coefficient threshold value, and taking the unit nodes corresponding to the threshold value larger than the threshold value as improvement and/or attention targets.
And if the final environmental impact coefficients of the units are smaller than the threshold value, sequencing the final environmental impact coefficients to obtain an environmental impact sequencing result.
And taking the unit corresponding to the influence coefficient which is ranked at the front as an improvement and/or attention target. These objectives may include highly environmentally affected materials, equipment or operating conditions, etc., that require action to be taken for improvement or significant attention.
Through the working principle, the environmental impact evaluation system of the product ecological process can realize comprehensive evaluation and analysis of the environmental impact of the product ecological process, provides improvement and attention targets for each unit such as raw material acquisition, product processing, packaging, transportation, recycling and scrapping, and is beneficial to optimizing production flow, reducing environmental impact and improving competitiveness of enterprises.
The technical scheme has the effects that: the system collects, counts and analyzes a plurality of environmental parameters of each unit, including waste discharge, carbon discharge, wastewater discharge and the like, thereby comprehensively considering the influence of the product ecological process on the environment. The system performs preprocessing and statistical analysis on the acquired data, eliminates abnormal values and calculates the final value of the parameter of the corresponding unit, thereby improving the accuracy and reliability of the data. The system calculates the same environmental parameter in the total amount of different units, and calculates the duty ratio of each unit as a first environmental influence coefficient, so that the different units have comparability. The system obtains the final environmental impact coefficient of each unit according to a plurality of first impact coefficients and corresponding parameter risk coefficients of the unit. Meanwhile, the system takes the unit nodes which are larger than the environmental parameter threshold and the final environmental impact coefficient threshold as improvement and/or attention targets, thereby providing targeted guidance for environmental treatment. The system can take the units corresponding to the influence coefficients which are ranked at the front as improving and/or focusing targets, so that ranking results of environmental influence are presented, and visual management and treatment of environmental protection departments and enterprises are facilitated.
The system for evaluating environmental impact of an ecological process of a product according to this embodiment is characterized in that the modeling evaluation includes:
setting a second statistical period, and counting the cost of each unit, wherein the cost comprises material cost, equipment cost, scrapping cost and labor cost; the second statistical period may be the same as the first statistical period;
establishing a relation model of cost, production activity and environmental impact coefficient through a neural network;
a cost threshold is set and improved projects and/or activities are obtained based on the cost threshold, the improvement objectives and the relationship model of costs, production activities and environmental impact coefficients. For example, the unit environmental impact coefficient is due to the raw material environmental score, and replacement of the raw material is considered in the cost range.
The working principle of the technical scheme is as follows: and setting a second statistical period, and counting the cost of each unit, wherein the cost comprises material cost, equipment cost, scrapping cost and labor cost. The second statistical period may be the same as the first statistical period.
Through the neural network, a relational model of cost, production activity, and environmental impact coefficients is established. The model utilizes the self-learning capability and the pattern recognition capability of the neural network to quantitatively describe the relationship among the cost, the production activity and the environmental impact coefficient.
A cost threshold is set and improved projects and/or activities are obtained based on the cost threshold, the improvement objectives and the relationship model of costs, production activities and environmental impact coefficients. The method is mainly used for controlling the cost as much as possible while ensuring the reduction of the environmental impact, and realizing the balance of economic benefit and environmental benefit.
Specific improvements may include consideration of replacement of more environmentally friendly and cost-effective raw materials in the event that the raw material environmental score does not meet the standard. This is mainly by adjusting the environmental score of the raw materials, thereby reducing the environmental impact coefficient of the product.
Through the working principle, the environmental impact evaluation system of the product ecological process can realize comprehensive evaluation and analysis of the environmental impact of the product ecological process, provides improvement and attention targets for each unit such as raw material acquisition, product processing, packaging, transportation, recycling and scrapping, and is beneficial to optimizing production flow, reducing environmental impact and improving competitiveness of enterprises.
The technical scheme has the effects that: the system establishes a relation model among cost, production activity and environmental influence coefficient through the neural network, thereby comprehensively considering the relation among environmental influence, cost and production activity. The system can accurately analyze improvement projects and/or activities by collecting the cost of each unit and establishing a relationship model of cost, production activity and environmental impact coefficient by using a neural network. The system sets a cost threshold and obtains improvement projects and/or activities based on the cost threshold, the improvement objectives and a relational model of costs, production activities, and environmental impact coefficients. Thereby providing a targeted treatment scheme for environmental protection departments and enterprises. The system not only considers environmental impact, but also considers cost factors, so that the project and/or activity can be improved to achieve good environmental effect, and meanwhile, the cost investment is reduced as much as possible. The system takes the environmental protection score of the raw materials as an environmental influence factor, and can consider the replacement of the raw materials in the cost range, thereby improving the sustainability of enterprises.
The environmental impact evaluation system of the product ecological process of this embodiment, the health evaluation module includes:
the method comprises the steps of regularly collecting health information of personnel, wherein the health information of product manufacturers is obtained through a health examination mode, taking the production personnel corresponding to important attention and improvement target subunits obtained by a production evaluation module as attention objects, pertinently making health examination items, and performing on-duty production;
usage feedback for the product is periodically obtained, including health problems created by the use of the product. Can be obtained through a user interface questionnaire; and the data can also be obtained through visit and investigation of staff.
The working principle of the technical scheme is as follows: the system acquires health condition information of the producers by periodically carrying out health physical examination on the producers, and takes the producers which focus on and improve the target subunits as focus objects. Through targeted physical examination project making, take turns on the guard and make to guarantee that producer's health status is monitored and is concerned in time. The system periodically acquires health feedback information of a product user through a user interface questionnaire or a staff interview and investigation mode, wherein the health feedback information comprises health problems generated by using the product. By collecting and analyzing the information, possible health problems of the product can be found and solved in time, so that the safety and reliability of the product are improved. In summary, the health evaluation module of the system can effectively monitor and evaluate the health condition of the production personnel and the safety of the product, and provides important data support and decision basis for enterprises. Meanwhile, the module can promote communication and exchange between enterprises and consumers, and enhance improvement and promotion of product quality.
The technical scheme has the effects that: by regularly collecting health information of production personnel and pertinently making health examination projects and on-duty, potential health problems can be found and solved in time, so that the health problems of the production personnel caused by working environment and other reasons are reduced. Meanwhile, through periodically acquiring the product use feedback, including the health problems generated by using the product, the possible health problems of the product can be found and solved in time, and the safety and reliability of the product are improved. By periodically collecting health information of the production personnel and taking the production personnel corresponding to the important attention and improvement target subunits obtained by the production evaluation module as attention objects, possible health risks and problems in the production process can be better known and improved in a targeted manner. Meanwhile, the demands and the opinions of consumers can be known in time by periodically acquiring the product use feedback, the product design is optimized, the production management is improved, and the quality and the reliability of the product are improved. By paying attention to the health and safety of production personnel and product users, enterprises can better fulfill social responsibilities, and customer satisfaction and enterprise image are improved. In summary, the health evaluation module of the system has important functions and effects for guaranteeing the health and safety of production personnel and product users, optimizing production management and product design, and enhancing social responsibility of enterprises.
The system for evaluating the environmental impact of the ecological process of the product in the embodiment comprises:
acquiring a failure mode of a product, performing failure hazard evaluation according to the failure mode to obtain an evaluation result, and grading through two dimensions; the two dimensions are the hazard degree generated by failure and the probability of failure; if a situation is encountered where a certain degree of hazard or failure mode cannot be expected; scoring the highest score; the damage degree score of failure is 1-5 points; the probability score of failure is 1-5 points; taking failure modes with two dimension scoring results exceeding 4 points simultaneously as key monitoring and improving targets;
wherein, the hazard degree is obtained through a knowledge base; the failure probability is obtained according to historical data; may be the probability of failure per 100 products; DPPM is also possible;
setting a first threshold value/a second threshold value, a third threshold value and a fourth threshold value, wherein the first threshold value < the second threshold value < the third threshold value < the fourth threshold value;
if the failure probability of a certain failure mode is not greater than the first threshold value, the failure probability score is 1; if the failure probability of a certain failure mode is greater than the first threshold value and not greater than the second threshold value; the failure probability score is 2; if the failure probability of a certain failure mode is greater than the second threshold value and not greater than the third threshold value; the failure probability score is 3; if the failure probability of a certain failure mode is greater than the third threshold value and not greater than the fourth threshold value; the failure probability score is 4; if the failure probability of a certain failure mode is larger than the fourth threshold value, the score of the failure probability is 5; if no history data exists in a certain failure mode, the failure probability score is calculated according to 5.
The working principle of the technical scheme is as follows: by analyzing aspects such as use, maintenance and the like of the product, possible failure modes are obtained. For each failure mode, the possible damage degree is evaluated according to the related information in the knowledge base. The hazard level is classified into 1-5 grades, and a high grade indicates that the hazard is more serious. Based on historical data or other available information, the probability of occurrence of failure modes is evaluated. If there is historical data, the evaluation can be based on the probability of failure per 100 products (DPPM). The failure probability is classified into 1-5 stages, and a high stage indicates a higher probability of failure mode occurrence. Scoring the evaluation results of the hazard degree and the failure probability to obtain a comprehensive score of 0-10. If a situation cannot be expected, scoring is done according to the highest score. Failure modes with scores simultaneously exceeding 4 points are considered as important monitoring and improvement objects. When evaluating the failure probability, a first threshold value, a second threshold value, a third threshold value and a fourth threshold value need to be set first. The probability of occurrence of failure modes is divided into different levels according to historical data or other available information, thereby corresponding to different scores. If no history data exists in a certain failure mode, the evaluation is firstly carried out according to 5 minutes.
In summary, the failure evaluation module of the system can comprehensively and accurately evaluate the damage and occurrence probability possibly caused by the failure of the product through the steps of acquiring the failure mode, evaluating the damage, evaluating the failure probability, scoring, setting the threshold value and the like, so that the reliability and the safety of the product are improved.
The technical scheme has the effects that: the system can comprehensively and accurately evaluate the possible damage and the occurrence probability of the product failure through a plurality of steps such as failure mode acquisition, hazard evaluation, failure probability evaluation and the like. This helps to improve the reliability and safety of the product and reduces the losses and risks associated with product failure. The system regards failure modes with scores exceeding 4 simultaneously as important monitoring and improving objects according to the scoring result. The method is beneficial to enterprises to develop production process improvement and technical innovation in a targeted manner, and improves production efficiency and product quality. The system divides the failure probability into different levels by setting a first threshold, a second threshold, a third threshold and a fourth threshold, thereby corresponding to different scores. Through reasonably setting the threshold value, the failure probability can be evaluated more objectively and scientifically, and the influence of artificial subjective factors is avoided. The system can evaluate the failure probability according to the historical data. Through statistics and analysis of historical data, risks and hazards possibly caused by product failure can be predicted better, and effective production management strategies and quality control measures can be formulated.
In summary, the failure evaluation module in the environmental impact evaluation system of the product ecological process can comprehensively and accurately evaluate the damage and probability of product failure, help enterprises to monitor and improve failure modes in a key way, reasonably set thresholds, improve the reliability and safety of products, and simultaneously help to improve the production efficiency and quality level of the enterprises.
The environmental impact evaluation system of the product ecological process in this embodiment, the feedback module includes:
environmental impact result feedback: the environmental impact assessment result calculated by the data processing module is presented to related personnel in a visual form; the results can comprise environmental impact scores of all units, change trends of environmental indexes, ranking conditions and the like, so that related personnel are helped to know the environmental performance of the product ecological process;
improvement project and/or activity feedback: providing suggestions for improving the project and/or activity according to the environmental impact assessment result through a feedback module based on the modeling assessment module; for example, if the environmental impact score of a unit is high, the system may recommend specific improvements and/or activities such as reducing the amount of use of a particular raw material, optimizing the manufacturing process, or improving the way waste is disposed of. These suggestions will help the relevant personnel to formulate environmental management policies and improvement plans;
Abnormal information feedback: if the system detects that the environmental data of a certain unit is abnormal or exceeds a preset threshold value, the feedback module sends an alarm or an abnormal notification to related personnel in time; thus, related personnel can be helped to find and solve potential environmental problems in time, and further expansion of environmental risks is avoided.
The working principle and the effect of the technical scheme are as follows: and after the data processing module calculates the environmental impact evaluation result, the environmental impact evaluation result is visually presented to related personnel. This may include using charts, reports, dashboards, etc. to present information such as environmental impact scores, trends in environmental indicators, and ranking of individual units. The related personnel can intuitively know the environmental performance of the ecological process of the product, thereby providing reference basis for environmental management and improvement. Based on the environmental impact assessment results from the modeling assessment module, the feedback module may provide suggestions for improving the project and/or activity. For example, for units with higher environmental impact scores, the system may recommend specific improvement projects and/or activities, such as reducing the amount of use of certain raw materials, optimizing production processes, or improving waste disposal practices, etc. These suggestions help the relevant personnel to develop environmental management strategies and improvement plans to reduce environmental impact and improve the environmental performance of the product. When the system monitors the environmental data, if the environmental data of a certain unit is found to be abnormal or exceeds a preset threshold value, the feedback module sends an alarm or an abnormal notification to related personnel in time. Thus, related personnel can be helped to know potential environmental problems in time so as to take corresponding measures to treat and solve the potential environmental problems, and further expansion of environmental risks is avoided.
Through the working principle, the feedback module can timely provide the environmental impact assessment result of the product ecological process, the suggestion of improving the project and/or activity and the feedback of abnormal information for related personnel. This helps to enhance environmental management and improvement, improves the environmental performance of the product, and ensures that environmental risks are effectively controlled.
The system for evaluating environmental impact of a product ecological process in this embodiment, the user interface module includes:
login interface: obtaining user information and operation authority through a login interface;
graphical user interface: displaying environmental impact assessment results, improvement project and/or activity suggestions and abnormal information feedback contents in a visual mode; the user can interact with the system through interactive operation modes such as mouse clicking, dragging and the like, so as to know the environmental performance of the product ecological process and take corresponding measures;
command line interface: presenting the user with the input commands and parameters in a text manner; for example, a user may query the environmental impact score of a unit, view the raw material usage of a unit, etc. information through a command line interface;
data visualization tool: the processed data are presented to the user in various chart forms. Helping the user to better understand and analyze the data; for example, information such as environmental impact scores of the respective units, a trend of change in environmental indicators, and the like may be displayed in a bar graph, a line graph, or the like.
The working principle and the effect of the technical scheme are as follows: a user firstly needs to log in the system through a login interface, and inputs a correct user name and a correct password to obtain corresponding operation permission. The module can realize user identity verification and authority control, and ensure the safety and reliability of system data. Once the user successfully logs into the system, the system will present a graphical user interface that visually presents environmental impact assessment results, improvement project and/or activity suggestions, and abnormal information feedback content. The user can interact with the system in an interactive mode, such as clicking, dragging and the like, so as to know the environmental performance of the ecological process of the product and take corresponding measures. In addition to the graphical user interface, the system also provides a command line interface that presents the user with input commands and parameters in a textual manner. For example, a user may query environmental impact scores of a unit, view raw material usage of a unit, and so on through a command line interface. This approach is suitable for some users who are used to operate with command lines, increasing the convenience of use for the user. The system also provides a data visualization tool, and the processed data is displayed to the user in various chart forms, so that the user can better understand and analyze the data. For example, information such as environmental impact scores of the respective units, a trend of change in environmental indicators, and the like may be displayed in a bar graph, a line graph, or the like. This helps the user to more clearly understand the environmental performance of the product ecological process, and to formulate corresponding environmental management strategies and improvement plans.
Through the working principle, the user interface module can realize the functions of user identity verification and authority control, visual display of environmental impact assessment results, command line interface inquiry and operation, data visualization tool analysis data and the like, and is convenient for a user to comprehensively monitor and manage the environmental performance of the product ecological process.
The device for evaluating the environmental impact of the product ecological process comprises a memory, a processor and a computer program which is stored in the memory and can run on the memory, wherein the processor executes the program to run any environmental impact evaluating system of the product ecological process.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. An environmental impact assessment system for a product ecological process, the system comprising:
raw material evaluation module: for obtaining an environmental score for the raw material;
A process environment assessment module: the method comprises the steps of evaluating environmental indexes of a product ecological process, and determining improvement and attention targets according to an evaluation result;
modeling evaluation module: the relationship model is used for establishing cost, production activities and environmental influence coefficients; setting a cost threshold, and obtaining items and/or activities which can be improved according to the cost threshold, the improvement target and the relation model;
personnel health assessment module: for assessing health information of personnel, including production manufacturers of products and product users;
failure evaluation module: for evaluating the damage of different failure modes of the product;
and a feedback module: the system is used for feeding back environmental impact results, projects and/or activities needing improvement, abnormal information and personnel health information to relevant personnel in the ecological process of the product;
a user interface module: for interaction between the system and a user, wherein the user interface includes a graphical user interface, a command line interface, and a login interface.
2. The system for evaluating the environmental impact of a product ecological process according to claim 1, wherein said raw material evaluation module comprises:
acquiring a raw material list and raw material cost of a product; wherein the raw materials comprise a main material, an auxiliary material and a packaging material;
Carrying out multidimensional grading on the environmental protection property of the product material to obtain a multidimensional grading result of the environmental protection property of the product material; wherein the multi-dimensional score comprises a score for energy consumption, water resource consumption, and waste production of the material, and a score for the renewable and biodegradable properties of the material; wherein the material has a regenerability score of 0 or 1, a regenerability of 0 and a non-regenerability of 1; the score for biodegradability is 0 or 1, the degradability is 0, and the nondegradablity is 1; respectively scoring energy consumption, water resource consumption and waste generation, wherein each scoring result is respectively recorded, and the scoring result is in a range of 1-5 and takes an integer; marking the material with the single score of 5;
weighted average is carried out on the multi-dimensional scoring results to obtain overall scores; and marking that the overall score is greater than a threshold.
3. The system for evaluating the environmental impact of a product ecological process according to claim 2, wherein the scoring method for energy consumption, water resource consumption and waste generation comprises:
acquiring consumption values of each material in the historical data, wherein the consumption values comprise an energy consumption value, a water resource consumption value and a content value of generated waste;
Calculating standard deviation NN of consumption values of each material in a sample k Average value SN k ；
Standard deviation NN based on consumption value of each material k Average value SN k Obtaining such a material consumption coefficient; the consumption coefficient includes: energy consumption coefficient, water resource consumption coefficient, and waste generation coefficient:
wherein n is the number of raw material species;
normalizing consumption coefficients of different materials to obtain the Chinese angelicaConsumption coefficient XG after unification i ；
If XG i If the value is less than or equal to 0.1, the corresponding score of the corresponding material is 1, if 0.1<XG i If the value is less than or equal to 0.3, the corresponding score of the corresponding material is 2, if the value is 0.3<XG i If the value is less than or equal to 0.5, the corresponding score of the corresponding material is 3, if the value is 0.5<XG i If not more than 0.8, the corresponding score of the corresponding material is 4, if XG i More than or equal to 0.8; the corresponding score for this corresponding material is 5.
4. The environmental impact assessment system of a product ecological process of claim 1, wherein the process environmental assessment module method comprises:
dividing the ecological process of the product into a plurality of units; the plurality of units comprise a raw material acquisition unit, a product processing unit, a packaging unit conveying unit and a recycling scrapping unit; the product processing unit is divided into a plurality of processing subunits according to the process flow;
Periodically collecting environmental parameters of each unit, wherein the environmental parameters comprise waste discharge capacity, carbon discharge capacity and wastewater discharge capacity of each unit; collecting the technological process, required equipment and operation conditions of each processing subunit;
setting a first statistical period, and obtaining a plurality of acquisition results in the last first statistical period;
preprocessing the data acquired by any parameter of each unit to obtain preprocessed data, wherein the preprocessing comprises removing abnormal values; the data of each subunit of the product processing unit are respectively analyzed and processed;
the outliers are:
C ij ≥2C i1 -C i2 or C ij ≤2C i3 -C i4 ；
Wherein C is i1 Values corresponding to 95% distribution of the parameters for this; c (C) i2 Values corresponding to 75% distribution of this parameter; c (C) i3 Values corresponding to 5% distribution of this parameter; c (C) i4 The corresponding value of the 25% distribution of the parameter is used for the purpose;
carrying out statistical analysis on the preprocessed data to obtain a final value of the parameter of the corresponding unit;
if a certain parameter of a certain unit accords with normal distribution, taking the distribution mean value as the final value of the parameter of the corresponding unit;
if the corresponding parameter does not meet the normal distribution of some other subunit, the final value of the unit corresponding to the parameter is;
wherein C is iz The unit corresponds to the final value of the parameter, C ic The unit corresponds to the median value of the parameter distribution; c (C) il 、C ih The unit corresponds to two quarter-bit values of the parameter distribution;
if the data of each unit of a certain parameter does not accord with normal distribution, normal distribution conversion is carried out firstly, and the average value is taken as the final value of the parameter after conversion;
calculating the total amount of the same environmental parameter in different units according to the final value of the environmental parameter of each unit;
calculating the total amount of the same environmental parameter in different units according to the final value of the environmental parameter of each unit; calculating the duty ratio of each unit of the parameter as a first environmental impact coefficient;
scoring the risk coefficient corresponding to the parameter to obtain a risk coefficient score;
obtaining a final environmental influence coefficient of each unit according to a plurality of first influence coefficients and corresponding parameter risk coefficients of the unit;
the final environmental impact coefficients are: y=w1×y1+w2×y2+ … +wn×yn;
wherein w1, w2, wn are risk coefficient scores; y1, Y2 and Yn are first environmental impact coefficients obtained by different units according to different parameters;
setting an environmental parameter threshold, and taking a unit node corresponding to a parameter larger than the environmental parameter threshold as an improvement target;
labeling the subunits containing the parameters of the risk coefficient 5; as an improvement and/or attention objective;
Setting a final environmental impact coefficient threshold value, and taking the unit nodes corresponding to the threshold value as improvement and/or attention targets;
if the final environmental impact coefficients of all the units are smaller than the threshold value, ranking the final environmental impact coefficients to obtain an environmental impact ranking result;
and taking the unit corresponding to the influence coefficient which is ranked at the front as an improvement and/or attention target.
5. A system for environmental impact assessment of a product ecology process in accordance with claim 3 wherein said modeling assessment comprises:
setting a second statistical period, and counting the cost of each unit, wherein the cost comprises material cost, equipment cost, scrapping cost and labor cost;
establishing a relation model of cost, production activity and environmental impact coefficient through a neural network;
a cost threshold is set and improved projects and/or activities are obtained based on the cost threshold, the improvement objectives and the relationship model of costs, production activities and environmental impact coefficients.
6. A system for environmental impact assessment of a product ecological process according to claim 3, wherein said health assessment module comprises:
the method comprises the steps of regularly collecting health information of personnel, wherein the health information of product manufacturers is obtained through a health examination mode, taking the production personnel corresponding to important attention and improvement target subunits obtained by a production evaluation module as attention objects, pertinently making health examination items, and performing on-duty production;
Usage feedback for the product is periodically obtained, including health problems created by the use of the product.
7. The environmental impact assessment system of a product ecology process of claim 1 wherein the failure assessment module comprises:
acquiring a failure mode of a product, performing failure hazard evaluation according to the failure mode to obtain an evaluation result, and grading through two dimensions; the two dimensions are the hazard degree generated by failure and the probability of failure; if a situation is encountered where a certain degree of hazard or failure mode cannot be expected; scoring the highest score; the damage degree score of failure is 1-5 points; the probability score of failure is 1-5 points; failure modes with two dimensional scoring results exceeding 4 points simultaneously are taken as important monitoring and improvement targets.
8. The environmental impact assessment system of a product ecology process of claim 1 wherein the feedback module comprises:
environmental impact result feedback: the environmental impact assessment result calculated by the data processing module is presented to related personnel in a visual form;
improvement project and/or activity feedback: providing suggestions for improving the project and/or activity according to the environmental impact assessment result through a feedback module based on the modeling assessment module;
Abnormal information feedback: if the system detects that the environmental data of a certain unit is abnormal or exceeds a preset threshold value, the feedback module sends an alarm or an abnormal notification to related personnel in time.
9. The environmental impact assessment system of a product ecology process of claim 1 wherein the user interface module comprises:
login interface: obtaining user information and operation authority through a login interface;
graphical user interface: displaying environmental impact assessment results, improvement project and/or activity suggestions and abnormal information feedback contents in a visual mode;
command line interface: presenting the user with the input commands and parameters in a text manner;
data visualization tool: the processed data are presented to the user in various chart forms.
10. An environmental impact assessment apparatus for a product ecology process comprising a memory, a processor and a computer program stored on said memory and executable on said memory, said processor executing said program to run an environmental impact assessment system for a product ecology process according to any one of claims 1 to 9.
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