CN108762215B - Pollution source dynamic working condition system and use method - Google Patents
Pollution source dynamic working condition system and use method Download PDFInfo
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Abstract
The invention discloses a pollution source dynamic working condition system which comprises a field acquisition end, an internet of things transmission end and an application platform end, wherein the output end of the field acquisition end is connected with the input end of the internet of things transmission end, and the output end of the internet of things transmission end is connected with the input end of the application platform end. The invention also provides a using method of the pollution source dynamic working condition system, which is based on remote monitoring, early warning and law enforcement of an environmental protection department under the background of big data, and realizes real-time monitoring of the production condition of an enterprise and the running condition of pollution control facilities; the system can strengthen the remote supervision and intelligent supervision of the environmental protection department on enterprises, reduce the frequency of the communication check and the field check of environmental protection supervision personnel, improve the working efficiency of government departments, and provide decision basis for eliminating out-of-date capacity, controlling the total emission amount, optimizing resource allocation and improving human living environment.
Description
Technical Field
The invention relates to a pollution source dynamic working condition system and a using method thereof, belonging to the technical field of intelligent environment-friendly monitoring.
Background
Since 2007, the country starts to implement a networking scheme of the automatic online pollution source monitoring equipment, and by now, the number of installed online points is hundreds of thousands, and a national, provincial, municipal and county four-level monitoring system is established in the country, which can be the largest pollution source monitoring system in the world. These on-line monitoring devices become the "thousand miles" of environmental monitors.
However, as the environmental protection work goes further, people find that the numbers in the report do not conform to the actual situation. The phenomenon of the on-line monitoring data counterfeiting of the pollution source occurs sometimes. In 2013, a certain provincial environmental protection hall checks 22 enterprises with damage or interference on an online monitoring facility and fake monitoring data, but the fake phenomenon cannot be effectively restrained simply from the aspects of system reformation, independent investigation, strict punishment and the like. Because the more dynamic management and control of the sewage discharge condition of the sewage discharge outlet of the enterprise of the existing system are emphasized, the production and sewage treatment process data of the enterprise can not be monitored.
Therefore, in order to further enhance the supervision of the pollution source enterprise, in order to implement the air pollution prevention and treatment work in autumn and winter in the 2017 plus region and the off-peak production work in the autumn and winter in the 2017 plus 26 urban part industry in the 2+26 city, the environmental protection requirement under the new situation is met, especially how to reduce the participation degree of manpower monitoring depending on the big data, the supervision level of the pollution source enterprise is improved, the environmental protection department can conveniently and remotely know the production condition of the enterprise and the operation condition of the pollution treatment facility, the dynamic control range is expanded to enterprise production facilities and pollution control facilities from a sewage outlet, the monitoring of working condition information of coal consumption, capacity, power consumption, pollution control equipment power consumption and the like of equipment in the core production link of an enterprise is realized, meanwhile, the system is in data butt joint with an online system and a dynamic management and control system, and correlation analysis is carried out on the online system, the dynamic management and control system and the dynamic management and control system, so that the whole process dynamic management and control of pollution source enterprises is realized.
Disclosure of Invention
The invention aims to apply big data analysis, mobile internet and internet of things technology to continuously monitor coal consumption information, capacity information and power consumption information of production equipment in coal-related enterprises such as coking of heavy pollution sources, steel, cement and the like in production links, and power consumption information and operation conditions of pollution treatment equipment. The following objectives are achieved:
1) the real-time monitoring of the production condition of an enterprise and the running condition of pollution control facilities is realized;
2) during heavy activities or heavy pollution weather conditions, multi-party data can be quickly called so as to scientifically guide key industry coal-involved enterprises in the area to stop production and regulate production and limit production and reduce emission;
3) monitoring the actual execution conditions of limited production and production halt of enterprises in real time, and automatically early warning the enterprises which cannot execute the actual execution conditions;
4) the system is in butt joint with the established system, and is used for carrying out correlation analysis on production data, pollution control data and emission data of an enterprise, automatically alarming for abnormality and false detection, and standardizing the operation of the enterprise;
5) the remote supervision and intelligent supervision of the environmental protection department on the enterprise are enhanced, the frequency of the communication check and the field check of the environmental protection supervision personnel is reduced, and the working efficiency of the government department is improved; decision basis is provided for eliminating out-dated capacity, controlling total emission, optimizing resource allocation and improving human living environment;
in order to overcome the defects in the prior art and solve the technical problems, a pollution source dynamic working condition system and a using method are provided.
The invention finds out the incidence relation of production and pollution treatment facilities of each pollution source enterprise from the angle of electricity utilization analysis; the visual, digital and fine management of the electric energy consumption process, the equipment running state and the production operation behavior is realized through real-time monitoring and analysis; the early warning is carried out on various power utilization conditions, so that power utilization abnormity and equipment abnormity are reduced and eliminated; meanwhile, the pollution prevention and control facility is monitored all weather, the conditions of stealing, emission reduction, missing emission and the like of an enterprise in the pollutant supervision process are prevented, the enterprise strictly executes the emission standard, and the emission reaching the standard of 100% is finally realized.
The invention adopts the following technical scheme: a pollution source dynamic working condition system is characterized by comprising a field acquisition end, an internet of things transmission end and an application platform end, wherein the output end of the field acquisition end is connected with the input end of the internet of things transmission end, and the output end of the internet of things transmission end is connected with the input end of the application platform end.
As an embodiment of a preferred, the on-site collection end includes enterprise's production facility power supply cable, enterprise's pollution control equipment power supply cable, enterprise's power consumption total ammeter, electric quantity information acquisition module, high accuracy electric quantity metering unit, the output of enterprise's production facility power supply cable, the output of enterprise's pollution control equipment power supply cable, the output of enterprise's power consumption total ammeter is connected with electric quantity information acquisition module's input respectively, electric quantity information acquisition module's output is connected with high accuracy electric quantity metering unit's input, high accuracy electric quantity metering unit's output is connected with the input of thing antithetical couplet transmission end.
As a preferred embodiment, the electric quantity information acquisition module adopts an open-type mutual inductor which is respectively arranged on an enterprise production equipment power supply cable, an enterprise pollution treatment equipment power supply cable and an enterprise electric total meter.
As a preferred embodiment, the internet of things transmission terminal includes an intelligent electric quantity data concentrator, an output terminal of the intelligent electric quantity data concentrator is connected with an input terminal of the application platform terminal through wireless communication or wired communication, and an input terminal of the intelligent electric quantity data concentrator is connected with an output terminal of the field acquisition terminal through wireless communication or wired communication.
As a better embodiment, the application platform end comprises an intelligent electric quantity information monitoring platform, the intelligent electric quantity information monitoring platform comprises a parameter setting module, a detection module, an instruction forming module and a feedback module, the parameter setting module is connected with the detection module, the input end of the detection module is connected with the output end of the feedback module, the output end of the detection module is connected with the input end of the instruction forming module, the output end of the instruction forming module is connected with the input end of the field acquisition end, and the input end of the feedback module is connected with the output end of the field acquisition end through an internet of things transmission end.
As a preferred embodiment, the parameter setting module is used to set a pollutant emission concentration threshold, an enterprise production equipment power consumption parameter threshold, an enterprise pollution control equipment power consumption parameter threshold, and an enterprise total power consumption parameter threshold, the feedback module is used to collect pollutant emission concentration data of an enterprise, enterprise production equipment power consumption data, enterprise pollution control equipment power consumption data, and enterprise total power consumption data in real time through the field collection terminal and transmit the data to the detection module, the detection module is used to compare the received real-time data with the parameter threshold in the parameter setting module and send an instruction to the instruction forming module, and the instruction forming module sends an execution instruction to the field collection terminal.
As a preferred embodiment, the pollutants include exhaust pollutants, waste water pollutants, and the exhaust pollutants include one or more of the following: SO2, NOx, soot, CO, VOCs; the wastewater contaminants include one or several of the following: COD, NH3-N, TP and TN.
In a preferred embodiment, the execution instructions include a shutdown instruction, a limit instruction, a normal production instruction, an equipment failure instruction, and an equipment maintenance instruction.
The invention also provides a use method of the pollution source dynamic working condition system, which is characterized by comprising the following steps:
step SS 1: parameter setting and data acquisition, including: the parameter setting module of the application platform end respectively sets a pollutant emission concentration threshold value, an enterprise production equipment power utilization parameter threshold value, an enterprise pollution treatment equipment power utilization parameter threshold value and an enterprise total power utilization parameter threshold value, the electric quantity information acquisition module of the field acquisition end acquires power utilization data of an enterprise production equipment power supply cable, an enterprise pollution treatment equipment power supply cable and an enterprise total power utilization meter in real time and transmits the power utilization data to the detection module of the application platform end through the internet of things transmission end, and the existing pollutant emission concentration monitoring equipment transmits the pollutant emission concentration and emission data to the detection module of the application platform end in real time;
step SS 2: carrying out data comparison and generating a control instruction, wherein the data comparison comprises the following steps: the detection module compares the electricity utilization data and the pollutant emission concentration data with corresponding parameter thresholds set by the parameter setting module, if the electricity utilization data and the pollutant emission concentration data do not exceed the parameter thresholds, the normal operation of the enterprise is judged, and a normal production instruction is generated, otherwise, the step SS3 is carried out;
step SS 3: if the detection module detects that the pollutant emission concentration data suddenly drops and exceeds a set pollutant emission concentration threshold value, and the electric quantity information acquisition module acquires that the power consumption data of the enterprise production equipment power supply cable, the enterprise pollution control equipment power supply cable and the enterprise electric total meter do not exceed a set parameter threshold value in real time, judging that the enterprise possibly has emission stealing, emission and leakage, generating a production limit instruction to inform the enterprise, feeding back the pollutant emission concentration and emission data of the enterprise, the enterprise production equipment power consumption data, the enterprise pollution control equipment power consumption data and the enterprise electric total meter, which are acquired by a field acquisition end in real time, in real time through a feedback module, and transmitting the data to the detection module to monitor whether the enterprise is in place for production limit, otherwise, switching to a step SS 4;
step SS 4: if the detection module detects that the pollutant emission concentration data suddenly drops and exceeds the set pollutant emission concentration threshold value and continues all the time, and the electric quantity information acquisition module acquires that the power consumption data of the enterprise production equipment power supply cable, the enterprise pollution control equipment power supply cable and the enterprise electric total meter do not exceed the set parameter threshold value in real time, the fact that the enterprise has the phenomenon of stealing, draining and leaking is judged, a production stopping instruction is generated to inform the enterprise, the pollutant emission concentration data of the enterprise, the enterprise production equipment power consumption data, the enterprise pollution control equipment power consumption data and the enterprise electric total power consumption data which are acquired by a field acquisition end in real time are fed back in real time through the feedback module and are transmitted to the detection module to monitor whether the enterprise is in place for limiting production, and otherwise;
step SS 5: if the detection module detects that the enterprise production equipment is closed, the enterprise pollution control equipment is still running and the pollutant emission concentration data is greatly reduced through the electric quantity information acquisition module, generating an equipment fault instruction to inform the enterprise of electricity utilization safety and electricity utilization waste, and otherwise, turning to the step SS 6;
step SS 6: if the detection module detects that the enterprise production equipment is closed through the electric quantity information acquisition module, the corresponding enterprise pollution treatment equipment is still in operation, and the pollutant emission concentration is kept unchanged or greatly increased before, it is determined that the enterprise has a production line which reports under the report, and an equipment maintenance instruction is generated to check the actual production line of the enterprise.
The invention achieves the following beneficial effects: 1) the invention is based on the remote monitoring early warning law enforcement of the environmental protection department under the big data background, has realized the real-time monitoring to the enterprise production situation, pollution control facility operation situation; 2) during heavy activities or heavy pollution weather conditions, multi-party data can be quickly called, so that key industries in the area are scientifically guided to stop production and regulate production and limit production and reduce emission; 3) the invention can monitor the actual execution conditions of limited production and production halt of enterprises in real time and automatically early warn the enterprises which cannot execute the actual execution conditions; 4) the invention can be butted with an established system, and can perform correlation analysis on production data, pollution control data and emission data of an enterprise, automatically alarm the existing abnormity and falsification, and standardize the operation of the enterprise; 5) the invention strengthens the remote supervision and intelligent supervision of the environmental protection department on enterprises, reduces the frequency of the communication check and the field check of environmental protection supervision personnel, improves the working efficiency of government departments, and provides decision basis for eliminating out-dated capacity, controlling the total emission, optimizing resource allocation and improving human living environment.
Drawings
Fig. 1 is a flow chart of a conventional exhaust pollution source monitoring system.
Fig. 2 is a flow chart of a conventional wastewater pollution source monitoring system.
Fig. 3 is an overall architecture flow diagram of the present invention.
The meanings of the symbols in the figures: 1-a waste gas sampling system, 2-a flue gas analysis system, 3-an industrial personal computer or PLC, 4-a data acquisition and transmission instrument, 5-a monitoring platform, 6-a waste water sampling system, 7-a water quality online monitoring and analysis system, 8-an enterprise production equipment power supply cable, 9-an enterprise pollution control equipment power supply cable, 10-an enterprise power consumption total electric meter, 11-an electric quantity information acquisition module, 12-a high-precision electric quantity metering unit, 13-an intelligent electric quantity data concentrator and 14-an intelligent electric quantity information monitoring platform.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Fig. 1 is a flow diagram of a conventional exhaust pollution source monitoring system, which includes: the system comprises an exhaust gas sampling system 1, a flue gas analysis system 2, an industrial personal computer or PLC3, a data acquisition and transmission instrument 4 and a monitoring platform 5.
The waste gas sampling system 1 mainly comprises hardware devices such as a sampling probe, a sampling pipeline and the like, realizes the functions of sampling sample gas, heat tracing transmission to a flue gas analysis system, dehumidification and smoke dust filtration, and is divided into an extraction sampling method and a direct measurement method.
The flue gas analysis system 2 mainly comprises a gaseous pollutant monitoring subsystem, a particulate matter monitoring subsystem, a flue gas emission parameter monitoring subsystem and the like. And (3) measuring parameters such as gaseous pollutant components and concentrations, particulate matter concentrations, flue gas temperature, pressure, flow velocity, moisture content, oxygen content and the like in the flue gas. Commonly used analytical methods are potentiostatic electrolysis, non-dispersive infrared absorption and ultraviolet absorption spectroscopy.
The flue gas analysis system 2 is connected with an industrial personal computer or a PLC3 through an analog-to-digital conversion module, the industrial personal computer or the PLC3 mainly has the functions of controlling the processes of sampling, analyzing and the like of an automatic analyzer, carrying out data format conversion and calculation on original data, the data processing system is connected with the data acquisition and transmission instrument 4 through a digital quantity interface RS232 or RS485 interface, and the data acquisition and transmission instrument 4 is connected with an exhaust gas pollution source online monitoring system platform (namely a monitoring platform 5) through a digital quantity interface.
The monitoring platform 5 is used for displaying and counting real-time pollutant data of each monitoring point, counting historical data according to the requirements of customers, and generating various statistical reports suitable for the customers.
Fig. 2 is a flow chart of a conventional wastewater pollution source monitoring system, which includes: the system comprises a wastewater sampling system 6, a water quality on-line monitoring and analyzing system 7, a data acquisition and transmission instrument 4 and a monitoring platform 5.
The waste water sampling system 6 mainly comprises hardware equipment, such as a sampling probe, a sampling pipeline and the like, realizes the sampling of sample liquid, filtering and transmission to a water online monitoring and analyzing system, and different online analyzing methods of different pollutants are different and mainly comprise: potassium dichromate oxidation spectrophotometry, salicylic acid spectrophotometry, electrode method, etc.
The water on-line monitoring and analyzing system 7 mainly comprises a COD water quality on-line monitoring system, an NH3-N water quality on-line monitoring subsystem, a wastewater flow monitoring subsystem and the like. And (3) measuring parameters such as COD, NH3-N, TP, TN, flow and the like in the wastewater.
The water quality on-line monitoring analysis system 7 is connected with the data acquisition and transmission instrument 4 through an RS232 interface or an RS485 interface, the data acquisition and transmission instrument 4 is connected with the on-line monitoring equipment through a digital quantity interface to acquire data analyzed by each monitoring equipment and send the data to a water pollution source on-line monitoring system platform (namely, a monitoring platform 5) through a network, the monitoring platform 5 is used for displaying and counting pollutant real-time data of each monitoring point position, historical data is counted according to the requirements of customers, and various statistical reports suitable for the customers are generated.
Fig. 3 is an overall architecture flow diagram of the present invention. The invention provides a pollution source dynamic working condition system which is characterized by comprising a field acquisition end, an internet of things transmission end and an application platform end, wherein the output end of the field acquisition end is connected with the input end of the internet of things transmission end, and the output end of the internet of things transmission end is connected with the input end of the application platform end.
As a preferred embodiment, the on-site collection end comprises an enterprise production equipment power supply cable 8, an enterprise pollution control equipment power supply cable 9, an enterprise power consumption total electric meter 10, an electric quantity information collection module 11, a high-precision electric quantity metering unit 12, an output end of the enterprise production equipment power supply cable 8, an output end of the enterprise pollution control equipment power supply cable 9, an output end of the enterprise power consumption total electric meter 10 is respectively connected with an input end of the electric quantity information collection module 11, an output end of the electric quantity information collection module 11 is connected with an input end of the high-precision electric quantity metering unit 12, and an output end of the high-precision electric quantity metering unit 12 is connected with an input end of the internet of things transmission end.
As a preferred embodiment, the electric quantity information collection module 11 employs an open-type mutual inductor, and the open-type mutual inductor is respectively disposed on the enterprise production equipment power supply cable 8, the enterprise pollution control equipment power supply cable 9, and the enterprise electric consumption total electric meter 10.
As a preferred embodiment, the internet of things transmission terminal includes an intelligent electric quantity data concentrator 13, an output terminal of the intelligent electric quantity data concentrator 13 is connected to an input terminal of the application platform terminal through wireless communication or wired communication, and an input terminal of the intelligent electric quantity data concentrator 13 is connected to an output terminal of the field acquisition terminal through wireless communication or wired communication.
As a preferred embodiment, the application platform end includes an intelligent electric quantity information monitoring platform 14, the intelligent electric quantity information monitoring platform 14 includes a parameter setting module, a detection module, an instruction forming module, and a feedback module, the parameter setting module is connected with the detection module, an input end of the detection module is connected with an output end of the feedback module, an output end of the detection module is connected with an input end of the instruction forming module, an output end of the instruction forming module is connected with an input end of the on-site acquisition end, and an input end of the feedback module is connected with an output end of the on-site acquisition end through an internet of things transmission end.
As a preferred embodiment, the parameter setting module is used to set a pollutant emission concentration threshold, an enterprise production equipment power consumption parameter threshold, an enterprise pollution control equipment power consumption parameter threshold, and an enterprise total power consumption parameter threshold, the feedback module is used to collect pollutant emission concentration data of an enterprise, enterprise production equipment power consumption data, enterprise pollution control equipment power consumption data, and enterprise total power consumption data in real time through the field collection terminal and transmit the data to the detection module, the detection module is used to compare the received real-time data with the parameter threshold in the parameter setting module and send an instruction to the instruction forming module, and the instruction forming module sends an execution instruction to the field collection terminal.
As a preferred embodiment, the pollutants include exhaust pollutants, waste water pollutants, and the exhaust pollutants include one or more of the following: SO2, NOx, soot, CO, VOCs; the wastewater contaminants include one or several of the following: COD, NH3-N, TP and TN.
In a preferred embodiment, the execution instructions include a shutdown instruction, a limit instruction, a normal production instruction, an equipment failure instruction, and an equipment maintenance instruction.
It should be noted that the enterprise production equipment electric meter 8, the enterprise pollution control equipment electric meter 9, and the enterprise electric consumption total electric meter 10 are devices used by enterprises, that is, the data source of the present invention mainly includes main production equipment, main pollution control equipment, and a total electric meter of an enterprise, so that an enterprise generally needs to measure and obtain electric quantity information of N production equipment and M pollution control equipment. Electric quantity information acquisition module 11 uses open type mutual-inductor to pierce and get the electricity, measures current and voltage signal simultaneously, and this kind of acquisition module can install the deployment under the normal production condition that does not influence the enterprise. The high-precision electric quantity metering unit 12 is matched with the open type electric quantity information acquisition sensor to independently and precisely meter the electric quantity; the micro-power long-distance wireless communication can be realized; there are multiple wireless communication mode selections; ultra-low power consumption; and data is communicated in a secret way.
The intelligent electric quantity data concentrator 13 is wirelessly networked with the electric quantity information acquisition module 11, and a high-reliability linux operating system can be adopted; intelligent multi-protocol automatic conversion; multi-protocol multi-target IP address communication; online configuration, upgrading and management of the system; and (4) storing the embedded database in a large capacity. One or more sets of electric quantity data concentrators are deployed in each enterprise (according to the scale of the enterprise and the actual situation on site), electric quantity information collection of all point location information of the enterprise is achieved, all data information is collected, and then the collected data information is transmitted to an environment-friendly platform through an HJ/T212 protocol uniformly specified by the environmental protection department. And the pollution source enterprise electric quantity information monitoring platform 14 is used for managing and installing enterprise and measuring point information of electric quantity information monitoring, and displaying real-time and historical information of each measuring point and the enterprise.
The invention also provides a use method of the pollution source dynamic working condition system, which is characterized by comprising the following steps:
step SS 1: parameter setting and data acquisition, including: the parameter setting module of the application platform end respectively sets a pollutant emission concentration threshold value, an enterprise production equipment power utilization parameter threshold value, an enterprise pollution treatment equipment power utilization parameter threshold value and an enterprise total power utilization parameter threshold value, the electric quantity information acquisition module 11 of the field acquisition end acquires power utilization data of an enterprise production equipment power supply cable 8, an enterprise pollution treatment equipment power supply cable 9 and an enterprise total power utilization meter 10 in real time and transmits the power utilization data to the detection module of the application platform end through the internet of things transmission end, and the existing pollutant emission concentration monitoring equipment transmits pollutant emission concentration and emission data to the detection module of the application platform end in real time;
step SS 2: carrying out data comparison and generating a control instruction, wherein the data comparison comprises the following steps: the detection module compares the electricity utilization data and the pollutant emission concentration data with corresponding parameter thresholds set by the parameter setting module, if the electricity utilization data and the pollutant emission concentration data do not exceed the parameter thresholds, the normal operation of the enterprise is judged, and a normal production instruction is generated, otherwise, the step SS3 is carried out;
step SS 3: if the detection module detects that the pollutant emission concentration data suddenly drops and exceeds a set pollutant emission concentration threshold value, and the electric quantity information acquisition module 11 acquires that the power consumption data of the enterprise production equipment power supply cable 8, the enterprise pollution control equipment power supply cable 9 and the enterprise electric total meter 10 do not exceed a set parameter threshold value in real time, judging that the enterprise possibly has emission stealing and leakage, generating a production limit instruction to inform the enterprise, feeding back the pollutant emission concentration and emission data of the enterprise, the enterprise production equipment power consumption data, the enterprise pollution control equipment power consumption data and the enterprise total power consumption data, which are acquired by a field acquisition end in real time, through a feedback module in real time, and transmitting the data to the detection module to monitor whether the enterprise production limit is in place, otherwise, switching to a step SS 4;
step SS 4: if the detection module detects that the pollutant emission concentration data suddenly drops and exceeds the set pollutant emission concentration threshold value and continues all the time, and the electric quantity information acquisition module 11 acquires that the power consumption data of the enterprise production equipment power supply cable 8, the enterprise pollution control equipment power supply cable 9 and the enterprise electric total meter 10 do not exceed the set parameter threshold value in real time, judging that the enterprise has the phenomenon of stealing, draining and leaking, generating a production stopping instruction to inform the enterprise, feeding back the pollutant emission concentration data of the enterprise, the enterprise production equipment power consumption data, the enterprise pollution control equipment power consumption data and the enterprise total power consumption data which are acquired by a field acquisition end in real time through a feedback module and transmitting the data to the detection module to monitor whether the enterprise is in place for limiting production, and otherwise, switching to a step SS 5;
step SS 5: if the detection module detects 11 that the enterprise production equipment is closed, the enterprise pollution control equipment is still running and the pollutant emission concentration data is greatly reduced through the electric quantity information acquisition module, generating an equipment fault instruction to inform the enterprise of electricity utilization safety and electricity utilization waste, otherwise, turning to a step SS 6;
step SS 6: if the detection module detects that the enterprise production equipment is closed through the electric quantity information acquisition module 11, and the corresponding enterprise pollution treatment equipment is still in operation and the pollutant emission concentration is kept unchanged or greatly increased before, it is determined that the enterprise has a production line in which the pollutant is reported and missed, and an equipment maintenance instruction is generated to check the actual production line of the enterprise.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (8)
1. The application method of the pollution source dynamic working condition system is characterized in that the working condition system comprises a field acquisition end, an internet of things transmission end and an application platform end, wherein the output end of the field acquisition end is connected with the input end of the internet of things transmission end, and the output end of the internet of things transmission end is connected with the input end of the application platform end, and the application method specifically comprises the following steps:
step SS 1: parameter setting and data acquisition, including: the parameter setting module of the application platform end respectively sets a pollutant emission concentration threshold value, an enterprise production equipment power utilization parameter threshold value, an enterprise pollution treatment equipment power utilization parameter threshold value and an enterprise total power utilization parameter threshold value, the power consumption data of an enterprise production equipment power supply cable (8), an enterprise pollution treatment equipment power supply cable (9) and an enterprise power utilization total electric meter (10) are collected in real time by the power consumption information collection module (11) of the field collection end and transmitted to the detection module of the application platform end through the internet of things transmission end, and the pollutant emission concentration and emission data are transmitted to the detection module of the application platform end in real time by the existing pollutant emission concentration monitoring equipment;
step SS 2: carrying out data comparison and generating a control instruction, wherein the data comparison comprises the following steps: the detection module compares the power utilization data and the pollutant emission concentration data with corresponding parameter thresholds set by the parameter setting module, if the power utilization data and the pollutant emission concentration data do not exceed the parameter thresholds, the normal operation of an enterprise is judged, and a normal production instruction is generated, otherwise, the step SS3 is carried out;
step SS 3: if the detection module detects that the pollutant emission concentration data suddenly drops and exceeds a set pollutant emission concentration threshold value, and the electric quantity information acquisition module (11) acquires that the electric data of the enterprise production equipment power supply cable (8), the enterprise pollution control equipment power supply cable (9) and the enterprise electric total meter (10) do not exceed a set parameter threshold value in real time, judging that the enterprise possibly has emission and leakage, generating a production limit instruction to inform the enterprise, feeding back the pollutant emission concentration and emission data of the enterprise, the enterprise production equipment electric data, the enterprise pollution control equipment electric data and the enterprise electric total data which are acquired by a field acquisition end in real time through a feedback module in real time, and transmitting the data to the detection module to monitor whether the enterprise production limit is in place, otherwise, switching to a step SS 4;
step SS 4: if the detection module detects that the pollutant emission concentration data suddenly drop and exceed a set pollutant emission concentration threshold value and continuously, and the electric quantity information acquisition module (11) acquires that the electric power data of the enterprise production equipment power supply cable (8), the enterprise pollution treatment equipment power supply cable (9) and the enterprise electric power total ammeter (10) do not exceed a set parameter threshold value in real time, judging that the enterprise has the phenomenon of stealing, draining and leaking, generating a production stopping instruction to inform the enterprise, feeding back the pollutant emission concentration data, the enterprise production equipment power data, the enterprise pollution treatment equipment power data and the enterprise total power data of the enterprise, which are acquired by a field acquisition end in real time, in real time through the feedback module, and transmitting the data to the detection module to monitor whether the enterprise is in place for limiting production, otherwise, switching to a step SS 5;
step SS 5: if the detection module detects that the enterprise production equipment is closed, the enterprise pollution treatment equipment is still running and the pollutant emission concentration data is greatly reduced through the electric quantity information acquisition module (11), generating an equipment fault instruction to inform the enterprise of electricity utilization safety and electricity utilization waste, otherwise, turning to a step SS 6;
step SS 6: if the detection module detects that the enterprise production equipment is closed through the electric quantity information acquisition module (11), and the corresponding enterprise pollution treatment equipment is still in operation and the pollutant emission concentration is kept unchanged or greatly increased before, the enterprise is judged to have a production line which reports under the report, and an equipment maintenance instruction is generated to check the actual production line of the enterprise.
2. The use method of the pollution source dynamic condition system according to claim 1, the field acquisition end comprises an enterprise production equipment power supply cable (8), an enterprise pollution treatment equipment power supply cable (9), an enterprise electricity consumption main ammeter (10), an electric quantity information acquisition module (11) and a high-precision electric quantity metering unit (12), the output end of the enterprise production equipment power supply cable (8), the output end of the enterprise pollution control equipment power supply cable (9) and the output end of the enterprise electric total meter (10) are respectively connected with the input end of the electric quantity information acquisition module (11), the output end of the electric quantity information acquisition module (11) is connected with the input end of the high-precision electric quantity metering unit (12), the output end of the high-precision electric quantity metering unit (12) is connected with the input end of the Internet of things transmission end.
3. The use method of the pollution source dynamic working condition system according to claim 2, wherein the electric quantity information acquisition module (11) adopts an open-type mutual inductor, and the open-type mutual inductor is respectively arranged on the enterprise production equipment power supply cable (8), the enterprise pollution control equipment power supply cable (9) and the enterprise electric total electric meter (10).
4. The method for using the pollution source dynamic condition system according to claim 1, wherein the internet of things transmission end comprises an intelligent electric quantity data concentrator (13), an output end of the intelligent electric quantity data concentrator (13) is connected with an input end of the application platform end through wireless communication or wired communication, and an input end of the intelligent electric quantity data concentrator (13) is connected with an output end of the field acquisition end through wireless communication or wired communication.
5. The use method of the pollution source dynamic working condition system according to claim 1, wherein the application platform end comprises an intelligent electric quantity information monitoring platform (14), the intelligent electric quantity information monitoring platform (14) comprises a parameter setting module, a detection module, an instruction forming module and a feedback module, the parameter setting module is connected with the detection module, the input end of the detection module is connected with the output end of the feedback module, the output end of the detection module is connected with the input end of the instruction forming module, the output end of the instruction forming module is connected with the input end of the field acquisition end, and the input end of the feedback module is connected with the output end of the field acquisition end through the internet of things transmission end.
6. The method as claimed in claim 5, wherein the parameter setting module is configured to set a pollutant emission concentration threshold, an enterprise production equipment power consumption parameter threshold, an enterprise pollution treatment equipment power consumption parameter threshold, and an enterprise total power consumption parameter threshold, the feedback module is configured to collect pollutant emission concentration data of an enterprise, enterprise production equipment power consumption data, enterprise pollution treatment equipment power consumption data, and enterprise total power consumption data in real time through a field collection terminal and transmit the collected data to the detection module, the detection module is configured to compare the received real-time data with the parameter threshold in the parameter setting module and send an instruction to the instruction forming module, and the instruction forming module sends an execution instruction to the field collection terminal.
7. The method for using the pollution source dynamic condition system according to claim 6, wherein the pollutants comprise exhaust gas pollutants and waste water pollutants, and the exhaust gas pollutants comprise one or more of the following: SO2, NOx, soot, CO, VOCs; the wastewater contaminants include one or several of the following: COD, NH3-N, TP and TN.
8. The method of claim 6, wherein the execution instructions include a shutdown instruction, a limit production instruction, a normal production instruction, an equipment failure instruction, and an equipment maintenance instruction.
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