CN112949964A - Enterprise pollution discharge monitoring method, device, system and storage medium - Google Patents
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Abstract
The invention discloses an enterprise pollution discharge monitoring method, device and system, wherein the method comprises the following steps: acquiring enterprise facility operation data; acquiring intermediate process data of an enterprise; acquiring peripheral environment data of an enterprise; and sending the obtained enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a cloud system platform, and performing data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data. The technical problems of low pollution monitoring efficiency and large error caused by lack of data support for enterprise activity related parameters in the prior art are solved.
Description
Technical Field
The invention relates to the technical field of pollution discharge monitoring, in particular to an enterprise pollution discharge monitoring method, device, system and storage medium.
Background
With the national emphasis on the pollution discharge work of enterprises, pollution enterprises generally realize pollutant monitoring through online monitoring and micro-station monitoring at present. Wherein, the online monitoring is enterprise drain monitoring, only analyzes whether the drain pollutant exceeds standard, and does not analyze the intermediate process; the micro-station monitoring is the environmental air quality monitoring, and only judges whether the environmental concentration in the area exceeds the standard or has larger fluctuation, and is not directly related to the production and pollution discharge of enterprises.
However, the prior art is used for unilaterally monitoring the concentration of environmental pollutants and lacks monitoring data related to enterprise activities. In fact, due to the fact that enterprises have some problems of poor management, old facilities, false online data, stealing, draining, missing, unorganized discharging and the like, the traditional online monitoring technology cannot reflect the relation between the pollution discharge and the environmental pollution of the enterprises, meanwhile, a micro-station only reflects the concentration fluctuation of regional pollutants, and the relation between the environmental pollution change and the activity level of the enterprises cannot be subjected to correlation analysis due to the lack of complete data, so that the environmental pollution cannot be traced. Therefore, at present, environmental supervision and law enforcement still mainly aim at 'civil defense', data support of enterprise activity related parameters is lacked, and the problems of low efficiency, narrow coverage and large error exist.
Disclosure of Invention
Therefore, the embodiment of the invention provides an enterprise pollution discharge monitoring method, device, system and storage medium, so as to at least partially solve the technical problems of low pollution monitoring efficiency and large error caused by lack of data support for enterprise activity related parameters in the prior art.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
an enterprise emissions monitoring method, the method comprising:
acquiring enterprise facility operation data;
acquiring intermediate process data of an enterprise;
acquiring peripheral environment data of an enterprise;
and sending the obtained enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a cloud system platform, and performing data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data.
Further, the acquiring enterprise facility operation data specifically includes:
acquiring a current parameter, a voltage parameter, a frequency parameter and a start-stop parameter of the electric quantity transformer;
and acquiring current parameters, voltage parameters, frequency parameters and start-stop parameters monitored by the electric meter.
Further, the acquiring of the enterprise intermediate process data specifically includes:
acquiring temperature parameters through a temperature sensor;
acquiring an air quantity parameter through an air quantity sensor;
acquiring a wind speed parameter through a wind speed sensor;
acquiring a PH value parameter through a PH meter;
and acquiring liquid level parameters through a liquid level meter.
Further, the acquiring of the environmental data around the enterprise specifically includes:
acquiring sulfur dioxide concentration data, nitrogen oxide concentration data, CO concentration data, ozone concentration data, PM2.5 concentration data and PM10 concentration data in an enterprise preset area;
and acquiring temperature data, humidity data, air pressure data, wind direction data and wind speed data in the preset area through the VOC micro-station and the meteorological micro-station.
Further, the sending the obtained enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a cloud system platform, and performing data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data specifically includes:
and sending the acquired enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a data transmission instrument in a wireless mode, and transmitting the data to a cloud system platform in a 4G wireless mode for data storage and data analysis so as to generate and output enterprise environment comprehensive evaluation data.
The invention also provides an enterprise emissions monitoring device for carrying out the method as described above, the device comprising:
the operation data acquisition unit is used for acquiring enterprise facility operation data;
the process data acquisition unit is used for acquiring intermediate process data of the enterprise;
the environment data acquisition unit is used for acquiring the surrounding environment data of the enterprise;
and the data storage and analysis unit is used for sending the acquired enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a cloud system platform, and performing data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data.
Further, the operation data obtaining unit is specifically configured to:
acquiring a current parameter, a voltage parameter, a frequency parameter and a start-stop parameter of the electric quantity transformer;
acquiring a current parameter, a voltage parameter, a frequency parameter and a start-stop parameter monitored by an ammeter;
and/or the presence of a gas in the atmosphere,
the process data acquisition unit is specifically configured to:
acquiring temperature parameters through a temperature sensor;
acquiring an air quantity parameter through an air quantity sensor;
acquiring a wind speed parameter through a wind speed sensor;
acquiring a PH value parameter through a PH meter;
acquiring liquid level parameters through a liquid level meter;
and/or the presence of a gas in the atmosphere,
the environment data obtaining unit is specifically configured to:
acquiring sulfur dioxide concentration data, nitrogen oxide concentration data, CO concentration data, ozone concentration data, PM2.5 concentration data and PM10 concentration data in an enterprise preset area;
and acquiring temperature data, humidity data, air pressure data, wind direction data and wind speed data in the preset area through the VOC micro-station and the meteorological micro-station.
Further, the data storage analysis unit is specifically configured to:
and sending the acquired enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a data transmission instrument in a wireless mode, and transmitting the data to a cloud system platform in a 4G wireless mode for data storage and data analysis so as to generate and output enterprise environment comprehensive evaluation data.
The invention also provides an enterprise pollution discharge monitoring system, which comprises: a processor and a memory;
the memory is to store one or more program instructions;
the processor is configured to execute one or more program instructions to perform the method as described above.
The present invention also provides a computer storage medium having one or more program instructions embodied therein for executing the method as described above by an enterprise emissions monitoring system.
According to the enterprise pollution discharge monitoring method, device and system provided by the invention, the enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data are obtained, the obtained enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data are sent to the cloud system platform, and data storage and data analysis are carried out on the cloud system platform to generate and output the enterprise environment comprehensive evaluation data, so that data support is provided for subsequent pollution comprehensive evaluation, and the technical problems of low pollution monitoring efficiency and large error caused by lack of data support for enterprise activity related parameters in the prior art are solved.
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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 should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
FIG. 1 is a flow chart of an embodiment of a method for monitoring pollution discharge from an enterprise according to the present invention;
FIG. 2 is a block diagram of an embodiment of an enterprise pollution discharge monitoring device according to the present invention;
FIGS. 3 and 4 are block diagrams illustrating the use of the enterprise emissions monitoring device of FIG. 2;
fig. 5 is a block diagram of an embodiment of an enterprise pollution discharge monitoring system according to the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. 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.
According to the enterprise pollution discharge monitoring method, device and system, collected enterprise micro operation data and environmental meteorological data in a preset area are utilized, data in a specific time period are analyzed through big data analysis and machine learning technologies, the facility operation state and the electric quantity condition are comprehensively mastered, and therefore data support is provided for finding out potential relation among data, mining the value of the data, analyzing pollution main factors of different pollutants, accurately positioning the relation between enterprise production fluctuation and surrounding environmental pollution, and providing data support for government supervision, enterprise rectification and enterprise optimized operation.
In one embodiment, as shown in fig. 1, the method for monitoring the pollution discharge of the enterprise provided by the invention comprises the following steps:
s1: acquiring enterprise facility operation data; the method specifically comprises the steps of obtaining a current parameter, a voltage parameter, a frequency parameter and a start-stop parameter of the electric quantity mutual inductor; and acquiring current parameters, voltage parameters, frequency parameters and start-stop parameters monitored by the electric meter. That is, the operation data of the enterprise facilities, including various electrical data, is supervised by a power transformer, an electricity meter, and the like.
S2: acquiring intermediate process data of an enterprise; the method specifically comprises the following steps: acquiring temperature parameters through a temperature sensor; acquiring an air quantity parameter through an air quantity sensor; acquiring a wind speed parameter through a wind speed sensor; acquiring a PH value parameter through a PH meter; and acquiring liquid level parameters through a liquid level meter. That is, the intermediate process data of the enterprise are monitored through a temperature sensor, an air volume/popular sensor, a PH meter, a liquid level meter and a flow/flow sensor.
S3: acquiring peripheral environment data of an enterprise; the method specifically comprises the following steps: acquiring sulfur dioxide concentration data, nitrogen oxide concentration data, CO concentration data, ozone concentration data, PM2.5 concentration data and PM10 concentration data in an enterprise preset area; and acquiring temperature data, humidity data, air pressure data, wind direction data and wind speed data in the preset area through the VOC micro-station and the meteorological micro-station. That is, the environmental data surrounding the docking enterprise includes national control station data, six-parameter micro-stations (sulfur dioxide, nitrogen oxides, CO, ozone, PM2.5, PM10), VOC micro-stations, and meteorological micro-station data (temperature, humidity, air pressure, wind direction, wind speed).
S4: and sending the obtained enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a cloud system platform, and performing data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data. Specifically, the obtained enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data are sent to a data transmission instrument in a wireless mode, and are transmitted to a cloud system platform in a 4G wireless mode for data storage and data analysis, so that enterprise environment comprehensive evaluation data are generated and output. After the system collects relevant front-end data, enterprise end information is collected to a data transmission instrument in a wireless mode through a Lora transmission module, and the enterprise end information is transmitted to a cloud system platform in a 4G wireless mode to be subjected to data storage and data analysis. That is to say, the method utilizes the VOCs environmental protection big data analysis system, and by collecting monitoring data of production, operation of pollution control facilities and on-line equipment of industrial enterprises, the monitoring data comprises electrical parameters (current, voltage, frequency and start and stop), process parameters (temperature, air quantity, pressure, liquid level, concentration and PH value), monitoring equipment of micro stations around the enterprises and local environmental meteorological data (wind speed, wind direction, air temperature, air pressure and humidity), the 24-hour uninterrupted monitoring is carried out, and the enterprise pollution discharge and environmental pollution conditions are subjected to correlation analysis by combining the enterprise production process principle, so as to trace the source of the environmental pollution.
In the above embodiment, the enterprise pollution discharge monitoring method, device and system provided by the present invention obtain enterprise facility operation data, enterprise intermediate process data and enterprise surrounding environment data, send the obtained enterprise facility operation data, enterprise intermediate process data and enterprise surrounding environment data to the cloud system platform, and perform data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data, thereby providing data support for subsequent pollution comprehensive evaluation, and solving the technical problems of low pollution monitoring efficiency and large error caused by lack of data support for enterprise activity related parameters in the prior art.
In addition to the above method, the present invention also provides an enterprise emissions monitoring device for carrying out the method as described above, as shown in fig. 2, and in one embodiment, the device comprises:
an operation data acquisition unit 100 configured to acquire enterprise facility operation data; the operation data obtaining unit is specifically configured to: acquiring a current parameter, a voltage parameter, a frequency parameter and a start-stop parameter of the electric quantity transformer; and acquiring current parameters, voltage parameters, frequency parameters and start-stop parameters monitored by the electric meter.
A process data obtaining unit 200, configured to obtain intermediate process data of an enterprise; the process data acquisition unit is specifically configured to: acquiring temperature parameters through a temperature sensor; acquiring an air quantity parameter through an air quantity sensor; acquiring a wind speed parameter through a wind speed sensor; acquiring a PH value parameter through a PH meter; and acquiring liquid level parameters through a liquid level meter.
An environment data acquiring unit 300, configured to acquire environment data around an enterprise; the environment data obtaining unit is specifically configured to: acquiring sulfur dioxide concentration data, nitrogen oxide concentration data, CO concentration data, ozone concentration data, PM2.5 concentration data and PM10 concentration data in an enterprise preset area; and acquiring temperature data, humidity data, air pressure data, wind direction data and wind speed data in the preset area through the VOC micro-station and the meteorological micro-station.
And the data storage and analysis unit 400 is configured to send the acquired enterprise facility operation data, the acquired enterprise intermediate process data, and the acquired enterprise surrounding environment data to a cloud system platform, and perform data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data.
The data storage and analysis unit is specifically configured to: and sending the acquired enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a data transmission instrument in a wireless mode, and transmitting the data to a cloud system platform in a 4G wireless mode for data storage and data analysis so as to generate and output enterprise environment comprehensive evaluation data. Specifically, as shown in fig. 3 and 4, the device analyzes data in a specific time period by means of acquired enterprise micro-operation data and macro-environment data around the enterprise through technologies of big data analysis and machine learning, comprehensively grasps the operation state and the electric quantity condition of the facility, and thereby provides data support for finding out potential relation among data, mining the value of the data, analyzing pollution causes of different pollutants, accurately positioning the relation between enterprise production fluctuation and surrounding environment pollution, facilitating government supervision, enterprise rectification, enterprise optimization operation and the like. The equipment simultaneously collects the data of the whole process related to pollution emission, and the first type: ambient environmental data and meteorological data; the second type: enterprise production, pollution control facility operation and process data; in the third category: and (4) enterprise queuing online data. The environmental pollution data and the three types of data are associated and comprehensively analyzed to obtain the relationship between the environmental pollution data and the three types of data, so that the main cause of the environmental pollutants and the influence of different processes of an enterprise on the environment are found; the method applies artificial intelligence, machine learning and big data analysis to practice, solves the problem more scientifically and accurately, and is superior to the traditional single threshold discrimination method.
In the above embodiment, the enterprise pollution discharge monitoring device provided by the invention is configured to obtain enterprise facility operation data, enterprise intermediate process data and enterprise surrounding environment data, send the obtained enterprise facility operation data, enterprise intermediate process data and enterprise surrounding environment data to the cloud system platform, and perform data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data, so as to provide data support for subsequent pollution comprehensive evaluation, and solve the technical problems of low pollution monitoring efficiency and large error caused by lack of data support for enterprise activity related parameters in the prior art.
According to a third aspect of embodiments of the present invention, there is also provided an enterprise emissions monitoring system, as shown in fig. 5, comprising: a processor 201 and a memory 202;
the memory is to store one or more program instructions;
the processor is configured to execute one or more program instructions to perform the method as described above.
In correspondence with the above embodiments, embodiments of the present invention also provide a computer storage medium containing one or more program instructions therein. Wherein the one or more program instructions are for execution by an enterprise emissions monitoring system to perform the method as described above.
In an embodiment of the invention, the processor may be an integrated circuit chip having signal processing capability. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The processor reads the information in the storage medium and completes the steps of the method in combination with the hardware.
The storage medium may be a memory, for example, which may be volatile memory or nonvolatile memory, or which may include both volatile and nonvolatile memory.
The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory.
The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), SLDRAM (SLDRAM), and Direct Rambus RAM (DRRAM).
The storage media described in connection with the embodiments of the invention are intended to comprise, without being limited to, these and any other suitable types of memory.
Those skilled in the art will appreciate that the functionality described in the present invention may be implemented in a combination of hardware and software in one or more of the examples described above. When software is applied, the corresponding functionality may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above embodiments are only for illustrating the embodiments of the present invention and are not to be construed as limiting the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the embodiments of the present invention shall be included in the scope of the present invention.
Claims (10)
1. An enterprise emissions monitoring method, comprising:
acquiring enterprise facility operation data;
acquiring intermediate process data of an enterprise;
acquiring peripheral environment data of an enterprise;
and sending the obtained enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a cloud system platform, and performing data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data.
2. The method for monitoring pollution discharge from an enterprise according to claim 1, wherein the acquiring of the operation data of the enterprise facility specifically comprises:
acquiring a current parameter, a voltage parameter, a frequency parameter and a start-stop parameter of the electric quantity transformer;
and acquiring current parameters, voltage parameters, frequency parameters and start-stop parameters monitored by the electric meter.
3. The method for monitoring enterprise emissions according to claim 1, wherein the obtaining of the intermediate process data specifically comprises:
acquiring temperature parameters through a temperature sensor;
acquiring an air quantity parameter through an air quantity sensor;
acquiring a wind speed parameter through a wind speed sensor;
acquiring a PH value parameter through a PH meter;
and acquiring liquid level parameters through a liquid level meter.
4. The method for monitoring enterprise emissions according to claim 3, wherein the data of the environment surrounding the enterprise specifically comprises: acquiring sulfur dioxide concentration data, nitrogen oxide concentration data, CO concentration data, ozone concentration data, PM2.5 concentration data and PM10 concentration data in an enterprise preset area;
and acquiring temperature data, humidity data, air pressure data, wind direction data and wind speed data in the preset area through the VOC micro-station and the meteorological micro-station.
5. The enterprise pollution discharge monitoring method according to claim 1, wherein the step of sending the obtained enterprise facility operation data, the obtained enterprise intermediate process data and the obtained enterprise surrounding environment data to a cloud system platform, and performing data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data specifically comprises:
and sending the acquired enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a data transmission instrument in a wireless mode, and transmitting the data to a cloud system platform in a 4G wireless mode for data storage and data analysis so as to generate and output enterprise environment comprehensive evaluation data.
6. An enterprise emissions monitoring device for carrying out the method of any one of claims 1 to 5, the device comprising:
the operation data acquisition unit is used for acquiring enterprise facility operation data;
the process data acquisition unit is used for acquiring intermediate process data of the enterprise;
the environment data acquisition unit is used for acquiring the surrounding environment data of the enterprise;
and the data storage and analysis unit is used for sending the acquired enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a cloud system platform, and performing data storage and data analysis on the cloud system platform to generate and output enterprise environment comprehensive evaluation data.
7. The enterprise emissions monitoring device of claim 6, wherein the operational data acquisition unit is configured to:
acquiring a current parameter, a voltage parameter, a frequency parameter and a start-stop parameter of the electric quantity transformer;
acquiring a current parameter, a voltage parameter, a frequency parameter and a start-stop parameter monitored by an ammeter;
and/or the presence of a gas in the atmosphere,
the process data acquisition unit is specifically configured to:
acquiring temperature parameters through a temperature sensor;
acquiring an air quantity parameter through an air quantity sensor;
acquiring a wind speed parameter through a wind speed sensor;
acquiring a PH value parameter through a PH meter;
acquiring liquid level parameters through a liquid level meter;
and/or the presence of a gas in the atmosphere,
the environment data obtaining unit is specifically configured to:
acquiring sulfur dioxide concentration data, nitrogen oxide concentration data, CO concentration data, ozone concentration data, PM2.5 concentration data and PM10 concentration data in an enterprise preset area;
and acquiring temperature data, humidity data, air pressure data, wind direction data and wind speed data in the preset area through the VOC micro-station and the meteorological micro-station.
8. The enterprise emissions monitoring device of claim 6, wherein the data storage analysis unit is configured to:
and sending the acquired enterprise facility operation data, the enterprise intermediate process data and the enterprise surrounding environment data to a data transmission instrument in a wireless mode, and transmitting the data to a cloud system platform in a 4G wireless mode for data storage and data analysis so as to generate and output enterprise environment comprehensive evaluation data.
9. An enterprise emissions monitoring system, the system comprising: a processor and a memory;
the memory is to store one or more program instructions;
the processor, configured to execute one or more program instructions to perform the method of any of claims 1-5.
10. A computer storage medium comprising one or more program instructions embodied in the medium for execution by an enterprise emissions monitoring system to perform the method of any of claims 1-5.
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