CN112308273A - Memory, petrochemical enterprise pollution discharge management method, device and equipment - Google Patents
Memory, petrochemical enterprise pollution discharge management method, device and equipment Download PDFInfo
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Abstract
The invention discloses a memory, a petrochemical enterprise pollution discharge management method, a device and equipment, wherein the method comprises the following steps: acquiring information data related to enterprise pollution through a preset information database; generating an emission monitoring rule comprising an emission threshold value of each environment monitoring data according to the limit value of the enterprise pollution discharge permission and the regulation of an emission related law in a preset law and regulation database; generating a discharge prediction value of each environmental monitoring data according to a preset prediction model by taking the basic information data, the production facility data and the production operation data as parameters; and judging whether the emission exceeds the standard under the current production operation data or not according to an emission monitoring rule by taking the emission predicted value as a parameter, and generating alarm information when the emission exceeds the standard. The invention can avoid the long-time existence of the production running state and the working condition state which cause the emission to exceed the standard, thereby improving the effectiveness of the pollution discharge management and control of enterprises.
Description
Technical Field
The invention relates to the field of enterprise pollution discharge management, in particular to a storage, and a petrochemical enterprise pollution discharge management method, device and equipment.
Background
In the existing pollution discharge permission management method (trial implementation), a system for monitoring the pollutant discharge condition by a pollution discharge unit is determined. The sewage disposal unit needs to install monitoring equipment for environment monitoring and metering authentication according to regulations, regularly maintain monitoring facilities, carry out self-monitoring and store original monitoring records.
The pollution discharge permission management method (trial implementation) clearly stipulates the obligation that a pollution discharge unit needs to record environment management information in the form of a standing book, and the pollution discharge permission management method can also be used as a basis for judging whether the pollution discharge unit discharges the pollution according to the certificate like self-monitoring data.
In order to actively respond to implementation of the pollution discharge permission management method (trial implementation) and receive supervision of an environmental protection administrative department, on one hand, a standing book and storage need to be strictly established according to regulations of the pollution discharge permission management method (trial implementation); on the other hand, the pollution discharge of enterprises also needs to be controlled well, and the overproof phenomenon is avoided.
In the prior art, in order to realize management and control of enterprise pollution discharge, pollutant discharge concentration data is generally obtained through an online monitoring system (CEMS), a manual monitoring system (lims) and the like, and then data such as actual discharge amount and the like are obtained through calculation, so that corresponding alarm information can be generated when the discharge exceeds the standard.
The inventor finds that the prior art has at least the following defects through research:
after the online monitoring system and the manual monitoring system acquire the data, the emission standard exceeding mode is found through calculation of emission concentration data or actual emission, and the emission standard exceeding mode can be found only after the emission standard exceeding mode actually occurs and lags behind for a period of time, so that management and control of pollution discharge of enterprises are not facilitated.
Disclosure of Invention
The invention mainly aims to improve the timeliness and effectiveness of the enterprise pollution discharge management and control.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention discloses a petrochemical enterprise pollution discharge management method, which comprises the following steps:
acquiring information data related to enterprise pollution through a preset information database; the information data comprises basic information data, production facility data, production operation data and environment monitoring data;
generating an emission monitoring rule comprising an emission threshold value of each environment monitoring data according to the limit value of the enterprise pollution discharge permission and the regulation of an emission related law in a preset law and regulation database;
generating an emission prediction value of each environmental monitoring data according to a preset prediction model by taking the basic information data, the production facility data and the production operation data as parameters;
and judging whether the emission exceeds the standard under the current production operation data or not according to the emission monitoring rule by taking the emission predicted value as a parameter, and generating alarm information when the emission exceeds the standard.
Preferably, in the present invention, the method further comprises:
and when the emission exceeds the standard, generating correction data of preset adjustable data in the production operation data according to the prediction model by taking the emission predicted value not exceeding the standard as a target.
Preferably, in the present invention, the generating of the emission monitoring rule including the emission threshold of each of the environmental monitoring data according to the limit of the emission permission of the enterprise and the provision of the emission-related law in the preset legal regulation database includes:
s21, performing semantic recognition on the legal provisions in the legal and legal provisions database, and acquiring related legal provisions related to enterprise emission;
and S22, performing semantic analysis on the associated law, and generating a threshold range corresponding to each emission data according to the semantics of the associated law.
Preferably, in the present invention, the information database includes a basic information sub-database, a production facility sub-database, a production operation sub-database, and an environment monitoring sub-database; the basic information sub-database comprises total amount indexes of enterprise pollutants, main products, capacity information, main raw and auxiliary materials and fuel information; the production facility sub-database comprises basic information of production devices, storage and transportation systems, public works and pollutant treatment facilities; the production operation sub-database comprises operation condition records of the production device, use information of raw materials and auxiliary materials, product generation information, generation information of various pollutants, pollutant treatment facility operation information, discharge information of a discharge port, storage and transportation engineering facility operation information and public engineering facility operation information; the environment monitoring sub-database comprises basic information of a monitoring station, monitoring project information, monitoring result information, non-online instrument and equipment information and online instrument and equipment information.
Preferably, in the present invention, the method for constructing the prediction model includes:
s31, determining basic information data, production facility data and production operation data as independent variables of the prediction model;
s32, determining the environment monitoring data as a target variable of the prediction model;
and S33, performing model training through a classification model according to the target variable and the independent variable to establish a prediction model for acquiring the environmental monitoring data.
Preferably, in the present invention, the training of the classification model on the modeling data includes:
s41, dividing the modeling data into training data and testing data according to a preset proportion;
s42, modeling by using the training data, and evaluating by using the test data;
s43, when the evaluation result does not reach the preset value, adjusting the parameter items and/or the iteration times during modeling, and returning to the step S41; and when the evaluation result reaches a preset value, finishing modeling.
In another aspect of the embodiments of the present invention, there is also provided a petrochemical enterprise sewage management apparatus, including:
the enterprise data acquisition unit is used for acquiring information data related to enterprise pollution through a preset information database; the information data comprises basic information data, production facility data, production operation data and environment monitoring data;
the emission threshold calculation unit is used for generating an emission monitoring rule comprising an emission threshold of each environment monitoring data according to the limit value of the enterprise pollution discharge permission and the regulation of the emission related law in a preset law and regulation database;
the pollution discharge prediction unit is used for generating a discharge prediction value of each environmental monitoring data according to a preset prediction model by taking the basic information data, the production facility data and the production operation data as parameters;
and the early warning unit is used for judging whether the emission exceeds the standard under the current production operation data or not according to the emission monitoring rule by taking the emission predicted value as a parameter, and generating warning information when the emission exceeds the standard.
Preferably, in the present invention, the method further comprises:
and the correction scheme generating unit is used for generating correction data of preset adjustable data in the production operation data according to the prediction model by taking the emission predicted value not exceeding the standard as a target when the emission exceeds the standard.
In another aspect of the embodiment of the present invention, there is also provided a memory including a software program adapted to execute the steps of the above petrochemical enterprise sewage management method by a processor.
In another aspect of the embodiments of the present invention, there is also provided a petrochemical enterprise sewage management apparatus comprising a computer program stored on a memory, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the methods of the above aspects and achieve the same technical effects.
Advantageous effects
On one hand, the method and the device acquire various information data required by enterprise pollution discharge management by acquiring information data related to enterprise pollution; on the other hand, the emission monitoring rule comprising the emission threshold value of each environment monitoring data is generated according to the limit value of the enterprise pollution discharge permission and the regulation of the emission related law in the preset law and regulation database; the reasonable threshold range in which each environmental monitoring data should be located can be defined through emission monitoring rules; in petrochemical enterprises, basic information data and production facility data of the enterprises are generally relatively fixed, and production operation data are different according to different production requirements or different working conditions; the change of different production operation data can cause the change of each environment monitoring data, therefore, the invention carries out prediction calculation on the current pollutant emission concentration and emission amount of an enterprise through a preset prediction model, so that the emission prediction value obtained through the prediction model under the current production operation state and working condition can be obtained in real time; whether actual environment monitoring data formed under the current production running state and working condition exceeds the standard or not is predicted by judging the emission predicted value; therefore, an alarm can be generated in time as soon as the production running state and the working condition which discharge exceeds the standard appear, so that the long-time existence of the production running state and the working condition which discharge exceeds the standard is avoided, and the effectiveness of pollution discharge management and control of enterprises is improved.
The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical means of the present application more clearly understood and to make the same based on the content of the description, one or more preferred embodiments are listed below and described in detail below with reference to the accompanying drawings in order to make the above and other objects, technical features, and advantages of the present application more comprehensible.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram illustrating steps of a petrochemical enterprise pollution discharge management method according to the present invention;
FIG. 2 is a schematic structural view illustrating an emission control device of a petrochemical enterprise according to the present invention;
fig. 3 is a schematic structural view of the petrochemical enterprise sewage management apparatus according to the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to effectively manage and control the pollution discharge of enterprises and reduce the occurrence of the phenomenon that the emission of the enterprises exceeds the standard, as shown in fig. 1, the embodiment of the invention provides a petrochemical enterprise pollution discharge management method, which comprises the following steps:
s11, acquiring information data related to enterprise pollution through a preset information database; the information data comprises basic information data, production facility data, production operation data and environment monitoring data;
in the embodiment of the invention, the information database is used as a storage device, can be in communication connection with data acquisition systems such as an online monitoring system CEMS, a manual monitoring system lims and the like, other sensors and instrument data acquisition devices to acquire required information data, and can also receive manually input information data.
In terms of the generation property of the information data, the information data can comprise basic information data, production facility data, production operation data and environment monitoring data; the basic information data can be basic conditions of an enterprise and total quantity indexes of some pollutants; in addition, the method can also comprise main products and capacity information of enterprises, main raw and auxiliary materials and fuel information and the like; the production facility data mainly comprises information data of various devices, storage and transportation systems, public works and pollutant treatment facilities; for example, the information data of the device includes the process name, raw material and auxiliary material use condition, etc. corresponding to each device, and the information data of the product includes the kind of the pollution production facility and the pollution source, etc.; the basic information data and the production facility data are relatively fixed, and generally, the data does not change or changes little.
The production run data includes: operation state data of the device (including operation states of each device of a production device, pollutant treating equipment, storage and transportation engineering equipment, public engineering equipment and the like); the using condition and the product generating condition of raw materials and auxiliary materials of the production device, and the generating condition of various pollutants such as waste water, waste gas, solid waste and the like; discharge conditions of the discharge port of the pollutant abatement device; the production operation data belongs to frequently-changed information data in the whole working condition of an enterprise, and the production operation data comprises various adjustable information data, such as various information data of raw materials, auxiliary materials and temperature in a process link of a production device.
The environment monitoring data in the embodiment of the invention can be divided into basic information of a monitoring station, personnel information of the monitoring station, monitoring project information, monitoring result information, non-online instrument and equipment information and online instrument and equipment information on the whole; the specific content can be determined according to actual equipment and actual requirements, and for example, the specific content can comprise information data acquisition of surface water and sewage samples, underground water samples, soil samples and gas samples; in practical application, the environmental monitoring data can be acquired through communication connection between data acquisition systems such as CEMS and lims and other sensors and instrument data acquisition equipment, and can also be acquired through receiving manual entry.
S12, generating an emission monitoring rule comprising an emission threshold value of each environment monitoring data according to the limit value of the enterprise pollution discharge permission and the regulation of the emission related law in a preset law and regulation database;
the embodiment of the invention also needs to acquire the limit value of the pollution discharge permission of the enterprise and various regulations of the enterprise pollution discharge in related laws and regulations while acquiring the information data related to the enterprise pollution; thus, the emission threshold value of each environmental monitoring data can be determined according to the limit value and various regulations of the pollution discharge permission of enterprises; specifically, it may be determined a reasonable emission threshold for each emission port, and when the environmental monitoring data of each emission port is within its corresponding emission threshold, the pollutant emission of the whole enterprise will be in a compliant state, otherwise it will be possible to cause the emission to exceed the standard.
The emission monitoring rule in the embodiment of the present invention may include an emission threshold of each environmental monitoring data, or a combined emission threshold after a plurality of different emission ports are combined, that is, the emission monitoring rule in the embodiment of the present invention is an emission rule determined by taking the emission threshold of each environmental monitoring data as a parameter value, and aiming at meeting the limit of the emission permission of enterprises and the emission regulations of various enterprises in relevant laws and regulations.
In practical application, the determination of the emission threshold or the combined emission threshold of each environmental monitoring data in the emission monitoring rule is required to meet the limit of the emission permission of enterprises on one hand, and meet various regulations of enterprise emission in related laws and regulations on the other hand; on one hand, due to different enactment bodies (such as national enactment and local enactment) of the laws and regulations and various regulations of enterprise pollution discharge, the priority is different, and the effective range is different; in addition, with the continuous development and progress of environmental governance in China, the regulations of pollution discharge of enterprises are continuously updated and adjusted, so that the original emission monitoring rules are not applicable easily, and the enterprises have the risk of excessive emission.
For the above reasons, in the embodiment of the present invention, when an emission monitoring rule is customized, the emission monitoring rule can be updated correspondingly with the adjustment and update of laws and regulations by performing semantic analysis on a laws and regulations database, so as to reduce the risk of the enterprise exceeding the emission standard, specifically, the method may include the following steps:
s21, performing semantic recognition on the legal provisions in the legal and legal provisions database, and acquiring related legal provisions related to enterprise emission;
the law and regulation database in the embodiment of the invention can comprise all newly added or adjusted laws and regulations; semantic recognition is carried out on the legal provisions, and related legal provisions related to enterprise emission are obtained from the legal provisions; in practical applications, a plurality of keywords related to pollution discharge can be set to retrieve required laws and regulations from the law and regulation database.
And S22, performing semantic analysis on the associated law, and generating a threshold range corresponding to each emission data according to the semantics of the associated law.
In these associated regulations relating to emissions from businesses, which typically include emission regulations that are qualitative and/or quantitative with respect to pollutants, semantic analysis may be used to generate threshold ranges corresponding to emission data required to formulate emission monitoring regulations.
According to the embodiment of the invention, the semantic analysis mode is used for replacing manual searching and understanding analysis of the law rules, so that the efficiency can be effectively improved, manual omission and errors can be avoided, and the timeliness of the emission monitoring rules can be ensured in real time.
S13, generating a discharge prediction value of each environmental monitoring data according to a preset prediction model by taking the basic information data, the production facility data and the production operation data as parameters;
the prediction model in the embodiment of the present invention is formed by model training through the basic information data, the production facility data and the historical data of the production operation data, and specifically may include the steps of:
s31, determining the historical data of the basic information data, the production facility data and the production operation data as independent variables of the prediction model;
s32, determining historical data of the environment monitoring data as target variables of the prediction model;
and S33, performing model training through a classification model according to the target variable and the independent variable to establish a prediction model for acquiring the environmental monitoring data.
The prediction model in the embodiment of the invention obtains the incidence relation of the basic information data, the production facility data and the production operation data in the historical data and the historical data of the environmental monitoring data through model training, so that the basic information data, the production facility data and the production operation data can be determined as independent variables of the prediction model, and the environmental monitoring data can be determined as target variables of the prediction model.
After the target variable and the independent variable are determined, training of data and construction of a model can be carried out through the data of the independent variable and the data of the target variable; specifically, the classification model may be selected from a general linear regression model, a logistic regression model, a decision tree model, a support vector machine model, a discriminant model, a neural network model, and the like, as long as the target variable can be predicted by the independent variable.
In practical application, in order to make the prediction result more accurate, modeling data can be further divided into training data and test data according to a preset proportion to perform modeling, specifically:
training modeling data through a classification model according to a target variable and an independent variable, and specifically comprises the following steps:
s41, dividing the modeling data into training data and testing data according to a preset proportion;
in practical applications, the preset ratio may be set to 7 to 3, that is, 70% of the data is used as training data, and the other 30% of the data is used as test data. It should be noted that, in the embodiment of the present invention, the numerical value of the preset ratio may be adjusted and set according to the needs of those skilled in the art, and is not limited specifically herein.
S42, modeling by using training data, and evaluating by using test data;
modeling through training data to construct an equipment prediction model; in practical applications, the classification model used in the embodiment of the present invention may be a general linear regression model, a logistic regression model, a decision tree model, a support vector machine model, a discriminant model, or a neural network model, or two or more of the models may be used for mutual verification and correction.
The test data may be evaluated during the modeling process to verify the accuracy and validity of the predictive model.
S43, when the evaluation result does not reach the preset requirement, adjusting the parameter items and/or the iteration times during modeling, and returning to the step S41; and when the evaluation result reaches the preset requirement, finishing modeling.
In the embodiment of the invention, the preset requirement can be a requirement for the fitting degree between the training result and the test data; in the process of data training and modeling, the accuracy of the established model can be evaluated by comparing the fitting degree of the training result and the test data, so that a prediction model with a more accurate prediction result can be established.
According to the embodiment of the invention, the emission value (namely the emission predicted value) of each environment monitoring data under the current working condition can be predicted according to the real-time basic information data, the production facility data and the production operation data by arranging the prediction model.
And S14, judging whether the emission exceeds the standard under the current production operation data or not according to the emission monitoring rule by taking the emission predicted value as a parameter, and generating alarm information when the emission exceeds the standard.
In practice, a long lag time is required from the moment of change of the operating condition (i.e. the production operating data) to the moment when the resulting influence is reflected by the monitoring data of the discharge port. That is to say, in the prior art, when a certain operating mode can lead to the emission exceeding the standard, the operating mode needs to last for a long time, and the environmental monitoring data that can actually obtain through the discharge port can be judged out, and at this moment, the emission exceeding the standard for a long time has been caused. According to the embodiment of the invention, after the predicted emission values of all the environment monitoring data are generated, the change of the environment monitoring data of the subsequent discharge port can be predicted in time under the current working condition, so that whether the emission exceeds the standard or not under the current working condition can be judged in real time.
In summary, in the embodiment of the present invention, on one hand, various information data required by the pollution discharge management of the enterprise are obtained by obtaining information data related to the pollution of the enterprise; on the other hand, the emission monitoring rule comprising the emission threshold value of each environment monitoring data is generated according to the limit value of the enterprise pollution discharge permission and the regulation of the emission related law in the preset law and regulation database; the reasonable threshold range in which each environmental monitoring data should be located can be defined through emission monitoring rules; in petrochemical enterprises, basic information data and production facility data of the enterprises are generally relatively fixed, and production operation data are different according to different production requirements or different working conditions; the change of different production operation data can cause the change of each environment monitoring data, therefore, the invention carries out prediction calculation on the current discharge value of pollution discharge of an enterprise through a preset prediction model, so that the discharge prediction value obtained through the prediction model under the current production operation state and working condition can be obtained in real time; whether actual environment monitoring data formed under the current production running state and working condition exceeds the standard or not is predicted by judging the emission predicted value; therefore, an alarm can be generated in time as soon as the production running state and the working condition which discharge exceeds the standard appear, so that the long-time existence of the production running state and the working condition which discharge exceeds the standard is avoided, and the effectiveness of pollution discharge management and control of enterprises is improved.
Further, in the embodiment of the present invention, the method further includes:
and S15, when the emission exceeds the standard, taking the emission predicted value not exceeding the standard as a target, and generating the correction data of the preset adjustable data in the production operation data according to the prediction model.
The prediction model in the implementation of the invention can generate the emission prediction value of each environmental monitoring data through the current basic information data, the production facility data and the production operation data, and can reversely calculate the production operation data capable of ensuring that the pollution discharge of enterprises does not exceed the standard when the emission prediction value exceeds the standard, thereby generating reasonable regulation schemes for raw materials, auxiliary materials, temperature in process links and the like of a production device in time, further reducing the existence time of the production operation state and the working condition state causing the emission to exceed the standard, and further improving the effectiveness of the pollution discharge management and control of enterprises.
In another aspect of the embodiment of the present invention, there is also provided a petrochemical enterprise sewage management apparatus, and fig. 2 illustrates a schematic structural diagram of the petrochemical enterprise sewage management apparatus according to the embodiment of the present invention, where the petrochemical enterprise sewage management apparatus is an apparatus corresponding to the petrochemical enterprise sewage management method according to the embodiment of fig. 1, that is, the petrochemical enterprise sewage management method according to the embodiment of fig. 1 is implemented by using a virtual apparatus, and each virtual module constituting the petrochemical enterprise sewage management apparatus may be implemented by an electronic device, such as a network device, a terminal device, or a server.
Specifically, the petrochemical industry pollution discharge management device in the embodiment of the present invention includes:
the enterprise data acquisition unit 01 is used for acquiring information data related to enterprise pollution through a preset information database; the information data comprises basic information data, production facility data, production operation data and environment monitoring data;
the emission threshold calculation unit 02 is used for generating an emission monitoring rule comprising an emission threshold of each environment monitoring data according to the limit value of the enterprise pollution discharge permission and the regulation of the emission related law in a preset law and regulation database;
the pollution discharge prediction unit 03 is used for generating a discharge prediction value of each environmental monitoring data according to a preset prediction model by taking the basic information data, the production facility data and the production operation data as parameters;
and the early warning unit 04 is used for judging whether the emission exceeds the standard under the current production operation data or not according to the emission monitoring rule by taking the emission predicted value as a parameter, and generating warning information when the emission exceeds the standard.
Preferably, in the present invention, the method further comprises:
and the correction scheme generating unit 05 is used for generating correction data of preset adjustable data in the production operation data according to the prediction model by taking the emission predicted value not exceeding the standard as a target when the emission exceeds the standard.
Since the working principle and the beneficial effects of the petrochemical enterprise sewage management apparatus in the embodiment of the present invention have been described and illustrated in the petrochemical enterprise sewage management method in embodiment 1, they may be referred to each other and are not described herein again.
In an embodiment of the present invention, there is further provided a memory, wherein the memory includes a software program, and the software program is adapted to enable the processor to execute the steps of the petrochemical enterprise pollution discharge management method corresponding to fig. 1.
The embodiment of the present invention may be implemented by a software program, that is, by writing a software program (and an instruction set) for implementing each step of the petrochemical enterprise pollution discharge management method corresponding to fig. 1, where the software program is stored in a storage device, and the storage device is disposed in a computer device, so that the software program can be called by a processor of the computer device to implement the purpose of the embodiment of the present invention.
In an embodiment of the present invention, there is further provided a petrochemical enterprise pollution discharge management apparatus, wherein the memory included in the hydrocracking apparatus fault prediction apparatus includes a corresponding computer program product, and when the program instructions included in the computer program product are executed by a computer, the computer can execute the petrochemical enterprise pollution discharge management method according to the above aspects, and achieve the same technical effect.
Fig. 3 is a hardware configuration diagram of the petrochemical enterprise sewage management apparatus as an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the apparatus includes one or more processors 610 and a memory 620. Take a processor 610 as an example. Preferably, the apparatus may further include: an input device 630 and an output device 640.
The processor 610, the memory 620, the input device 630, and the output device 640 may be connected by a bus or other means, and are exemplified by a bus in fig. 3.
The memory 620, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device, i.e., the processing method of the above-described method embodiment, by executing the non-transitory software programs, instructions and modules stored in the memory 620.
The memory 620 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data and the like. Further, the memory 620 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 620 optionally includes memory located remotely from the processor 610, which may be connected to the processing device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 630 may receive input numeric or character information and generate a signal input. The output device 640 may include a display device such as a display screen.
The one or more modules are stored in the memory 620 and, when executed by the one or more processors 610, perform:
s11, acquiring information data related to enterprise pollution through a preset information database; the information data comprises basic information data, production facility data, production operation data and environment monitoring data;
s12, generating an emission monitoring rule comprising an emission threshold value of each environment monitoring data according to the limit value of the enterprise pollution discharge permission and the regulation of the emission related law in a preset law and regulation database;
s13, generating a discharge prediction value of each environmental monitoring data according to a preset prediction model by taking the basic information data, the production facility data and the production operation data as parameters;
and S14, judging whether the emission exceeds the standard under the current production operation data or not according to the emission monitoring rule by taking the emission predicted value as a parameter, and generating alarm information when the emission exceeds the standard.
Preferably, the method further comprises the following steps:
and S15, when the emission exceeds the standard, generating correction data of preset adjustable data in the production operation data according to the prediction model by taking the emission predicted value not exceeding the standard as a target.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage device and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage device includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a ReRAM, an MRAM, a PCM, a NAND Flash, a NOR Flash, a Memory, a magnetic disk, an optical disk, or other various media that can store program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A petrochemical enterprise pollution discharge management method is characterized by comprising the following steps:
acquiring information data related to enterprise pollution through a preset information database; the information data comprises basic information data, production facility data, production operation data and environment monitoring data;
generating an emission monitoring rule comprising an emission threshold value of each environment monitoring data according to the limit value of the enterprise pollution discharge permission and the regulation of an emission related law in a preset law and regulation database;
generating an emission prediction value of each environmental monitoring data according to a preset prediction model by taking the basic information data, the production facility data and the production operation data as parameters;
and judging whether the emission exceeds the standard under the current production operation data or not according to the emission monitoring rule by taking the emission predicted value as a parameter, and generating alarm information when the emission exceeds the standard.
2. The petrochemical enterprise pollution discharge management method according to claim 1, further comprising:
and when the emission exceeds the standard, generating correction data of preset adjustable data in the production operation data according to the prediction model by taking the emission predicted value not exceeding the standard as a target.
3. The petrochemical enterprise pollution discharge management method according to claim 1, wherein the generating of the emission monitoring rule including the emission threshold value of each of the environmental monitoring data according to the definition of the enterprise emission permission and the provision of the emission-related laws and regulations in the preset laws and regulations database comprises:
s21, performing semantic recognition on the legal provisions in the legal and legal provisions database, and acquiring related legal provisions related to enterprise emission;
and S22, performing semantic analysis on the associated law, and generating a threshold range corresponding to each emission data according to the semantics of the associated law.
4. The petrochemical enterprise pollution discharge management method according to claim 1, wherein the information database comprises a basic information sub-database, a production facility sub-database, a production operation sub-database, and an environmental monitoring sub-database; the basic information sub-database comprises total amount indexes of enterprise pollutants, main products, capacity information, main raw and auxiliary materials and fuel information; the production facility sub-database comprises basic information of production devices, storage and transportation systems, public works and pollutant treatment facilities; the production operation sub-database comprises operation condition records of the production device, use information of raw materials and auxiliary materials, product generation information, generation information of various pollutants, pollutant treatment facility operation information, discharge information of a discharge port, storage and transportation engineering facility operation information and public engineering facility operation information; the environment monitoring sub-database comprises basic information of a monitoring station, monitoring project information, monitoring result information, non-online instrument and equipment information and online instrument and equipment information.
5. The petrochemical enterprise pollution discharge management method according to claim 1, wherein the construction method of the prediction model comprises the following steps:
s31, determining the historical data of the basic information data, the production facility data and the production operation data as independent variables of the prediction model;
s32, determining historical data of the environment monitoring data as target variables of the prediction model;
and S33, performing model training through a classification model according to the target variable and the independent variable to establish a prediction model for acquiring the environmental monitoring data.
6. The petrochemical enterprise pollution discharge management method according to claim 5, wherein the performing classification model training on the modeling data comprises:
s41, dividing the modeling data into training data and testing data according to a preset proportion;
s42, modeling by using the training data, and evaluating by using the test data;
s43, when the evaluation result does not reach the preset value, adjusting the parameter items and/or the iteration times during modeling, and returning to the step S41; and when the evaluation result reaches a preset value, finishing modeling.
7. A petrochemical enterprise pollution discharge management device is characterized by comprising:
the enterprise data acquisition unit is used for acquiring information data related to enterprise pollution through a preset information database; the information data comprises basic information data, production facility data, production operation data and environment monitoring data;
the emission threshold calculation unit is used for generating an emission monitoring rule comprising an emission threshold of each environment monitoring data according to the limit value of the enterprise pollution discharge permission and the regulation of the emission related law in a preset law and regulation database;
the pollution discharge prediction unit is used for generating a discharge prediction value of each environmental monitoring data according to a preset prediction model by taking the basic information data, the production facility data and the production operation data as parameters;
and the early warning unit is used for judging whether the emission exceeds the standard under the current production operation data or not according to the emission monitoring rule by taking the emission predicted value as a parameter, and generating warning information when the emission exceeds the standard.
8. The petrochemical enterprise waste management device of claim 7, further comprising:
and the correction scheme generating unit is used for generating correction data of preset adjustable data in the production operation data according to the prediction model by taking the emission predicted value not exceeding the standard as a target when the emission exceeds the standard.
9. A memory comprising a software program adapted to be executed by a processor for performing the steps of the petrochemical enterprise pollution emission management method according to any one of claims 1 to 7.
10. A petrochemical enterprise waste management apparatus comprising a bus, a processor, and a memory as claimed in claim 9;
the bus is used for connecting the memory and the processor;
the processor is configured to execute a set of instructions in the memory.
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| CN113159425A (en) * | 2021-04-24 | 2021-07-23 | 杭州尚青科技有限公司 | Regional industrial water pollution daily emission prediction method and device |
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