CN116757500A - Industrial Internet platform monitoring system and method - Google Patents
Industrial Internet platform monitoring system and method Download PDFInfo
- Publication number
- CN116757500A CN116757500A CN202310737681.9A CN202310737681A CN116757500A CN 116757500 A CN116757500 A CN 116757500A CN 202310737681 A CN202310737681 A CN 202310737681A CN 116757500 A CN116757500 A CN 116757500A
- Authority
- CN
- China
- Prior art keywords
- environmental protection
- coefficient
- critical threshold
- comprehensive environmental
- operation evaluation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000012544 monitoring process Methods 0.000 title claims abstract description 30
- 230000007613 environmental effect Effects 0.000 claims abstract description 126
- 238000011156 evaluation Methods 0.000 claims abstract description 91
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 74
- 239000010959 steel Substances 0.000 claims abstract description 74
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 62
- 238000004519 manufacturing process Methods 0.000 claims abstract description 61
- 238000012545 processing Methods 0.000 claims abstract description 32
- 229910052742 iron Inorganic materials 0.000 claims abstract description 31
- 238000004891 communication Methods 0.000 claims abstract description 5
- 239000003344 environmental pollutant Substances 0.000 claims description 49
- 231100000719 pollutant Toxicity 0.000 claims description 48
- 239000003245 coal Substances 0.000 claims description 43
- 238000002485 combustion reaction Methods 0.000 claims description 22
- 238000005265 energy consumption Methods 0.000 claims description 21
- 238000010606 normalization Methods 0.000 claims description 6
- 239000007789 gas Substances 0.000 description 28
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 6
- 239000000356 contaminant Substances 0.000 description 5
- 238000003912 environmental pollution Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 4
- 238000004590 computer program Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 3
- 230000002411 adverse Effects 0.000 description 3
- 229910052799 carbon Inorganic materials 0.000 description 3
- 229910002092 carbon dioxide Inorganic materials 0.000 description 3
- 239000001569 carbon dioxide Substances 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- MWUXSHHQAYIFBG-UHFFFAOYSA-N nitrogen oxide Inorganic materials O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 239000002351 wastewater Substances 0.000 description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 2
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 239000003546 flue gas Substances 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000003723 Smelting Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000001479 atomic absorption spectroscopy Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000004817 gas chromatography Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004811 liquid chromatography Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000010079 rubber tapping Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
- 239000002912 waste gas Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Manufacturing & Machinery (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses an industrial Internet platform monitoring system and method, in particular relates to the technical field of Internet platform monitoring, and aims to solve the problems that the existing iron and steel industry enterprises cannot comprehensively and accurately monitor the influence condition of the environment and cannot timely early warn the environment pollution condition; the system comprises a data processing module, a data acquisition module, an early warning prompt module and a threshold value adjusting module, wherein the data acquisition module, the early warning prompt module and the threshold value adjusting module are in communication connection with the data processing module; the comprehensive environmental protection coefficient critical threshold value is compared with the comprehensive environmental protection coefficient, so that the comprehensive environmental protection performance of the steel industry enterprises can be evaluated, and early warning is timely carried out when the running state of the steel production equipment is poor by comparing the running evaluation coefficient critical threshold value with the running evaluation coefficient; and under the condition that the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold, the comprehensive environmental protection coefficient critical threshold is secondarily adjusted, so that the comprehensive environmental protection performance of the iron and steel industrial enterprise is more accurately judged, and the early warning accuracy is improved.
Description
Technical Field
The application relates to the technical field of internet platform monitoring, in particular to an industrial internet platform monitoring system and method.
Background
The industrial Internet platform is an intelligent platform based on new technologies such as Internet of things, cloud computing, big data, artificial intelligence and the like, and aims to realize digital, automatic and intelligent management of various links such as production equipment, factories, supply chains, clients and the like. The method realizes the sharing and circulation of internal and external information of enterprises through connecting equipment, collecting data and analyzing data, and promotes the visualization, the transparentization and the intellectualization of the production process, thereby improving the production efficiency of the enterprises, reducing the cost and enhancing the market competitiveness.
The steel industry is a typical energy-intensive and emission household industry, and a large amount of energy is consumed in the production process, and a large amount of exhaust emission and pollutants are generated at the same time; these problems not only cause serious pollution to the environment, but also bring high cost and risk to the iron and steel industry enterprises; the existing iron and steel industry enterprises cannot comprehensively and accurately monitor the environmental influence conditions and cannot timely early warn the environmental pollution conditions.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present application provide an industrial internet platform monitoring system and method to solve the above-mentioned problems in the prior art.
In order to achieve the above purpose, the present application provides the following technical solutions:
an industrial internet platform monitoring method comprises the following steps:
step S1: acquiring pollution emission information and energy consumption information, and calculating a comprehensive environmental protection coefficient according to the pollution emission information and the energy consumption information;
step S2: setting a comprehensive environmental protection coefficient critical threshold value, and judging the comprehensive environmental protection performance of the iron and steel industry enterprises through comparison of the comprehensive environmental protection coefficient and the comprehensive environmental protection coefficient critical threshold value;
step S3: acquiring operation information, and calculating an operation evaluation coefficient according to the operation information;
step S4: setting an operation evaluation coefficient critical threshold value, and judging the operation state of the steel production equipment through comparison of the operation evaluation coefficient and the operation evaluation coefficient critical threshold value;
step S5: and performing secondary adjustment on the comprehensive environmental protection coefficient critical threshold according to the operation evaluation coefficient and the comprehensive environmental protection coefficient critical threshold, and calculating to obtain the secondary adjustment comprehensive environmental protection coefficient critical threshold.
In a preferred embodiment, in step S1, the pollutant emission information includes a pollutant treatment rate, a noise pollution evaluation value, and a pollutant emission amount ratio; the energy consumption information comprises a coal consumption ratio and an electric power consumption ratio;
the pollution treatment rate, the noise pollution evaluation value, the pollutant discharge amount ratio, the coal consumption ratio and the electric power consumption ratio are subjected to normalization treatment, and the comprehensive environmental protection coefficient is calculated, wherein the expression is as follows:
wherein Z is a comprehensive environmental protection coefficient, and Pt, nv, pe, cr, er is pollution treatment rate, noise pollution evaluation value, pollutant discharge amount ratio, coal consumption ratio and electric power consumption ratio respectively; alpha 1 、α 2 、α 3 、α 4 、α 5 Predetermined ratio coefficients of pollution treatment rate, noise pollution evaluation value, pollutant discharge amount ratio, coal consumption ratio and electric power consumption ratio, respectively, and alpha 1 ＞α 4 ＞α 3 ＞α 5 ＞α 2 ＞0。
In a preferred embodiment, in step S2, an integrated environment factor critical threshold is set, labeled Z 0 ；
When the comprehensive environmental protection coefficient is larger than the comprehensive environmental protection coefficient critical threshold, the system sends out an early warning signal of poor environmental protection performance;
when the comprehensive environmental protection coefficient is smaller than or equal to the comprehensive environmental protection coefficient critical threshold value, the system sends out an environmental protection performance good signal.
In a preferred embodiment, in step S3, the operation information includes the boiler combustion efficiency, the blast furnace shell vibration frequency ratio, and the gas pressure deviation value;
combustion efficiency of boilerThe vibration frequency ratio of the blast furnace shell and the deviation value of the gas pressure are normalized, and the operation evaluation coefficient is calculated, wherein the expression is as follows:
wherein Y is an operation evaluation coefficient, be, bf and Gv are respectively the combustion efficiency of the boiler, the vibration frequency ratio of the blast furnace shell and the deviation value of the gas pressure; beta 1 、β 2 、β 3 Respectively the preset proportionality coefficients of the boiler combustion efficiency, the vibration frequency ratio of the blast furnace shell and the gas pressure deviation value, and beta 2 ＞β 1 ＞β 3 ＞0。
In a preferred embodiment, in step S4, an operation evaluation coefficient critical threshold is set, labeled Y 0 The method comprises the steps of carrying out a first treatment on the surface of the When the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold, the system sends out an operation early warning signal.
In a preferred embodiment, in step S5, when the operation evaluation coefficient is greater than the operation evaluation coefficient critical threshold, the comprehensive environmental protection coefficient critical threshold is secondarily adjusted, and the secondarily adjusted comprehensive environmental protection coefficient critical threshold is calculated, where the expression is:
wherein Q is a critical threshold value of the secondary regulation comprehensive environmental protection coefficient, and delta is a preset regulation coefficient.
In a preferred embodiment, an industrial internet platform monitoring system: the system comprises a data processing module, a data acquisition module, an early warning prompt module and a threshold value adjusting module, wherein the data acquisition module, the early warning prompt module and the threshold value adjusting module are in communication connection with the data processing module;
the data acquisition module acquires pollution emission information, energy consumption information and operation information, the pollution emission information and the energy consumption information are sent to the data processing module, the data processing module calculates to obtain a comprehensive environmental protection coefficient, the operation information is sent to the data processing module, and the data processing module calculates to obtain an operation evaluation coefficient;
the early warning prompt module receives the comprehensive environmental protection coefficient calculated by the data processing module, and sends out different signals according to the comparison between the comprehensive environmental protection coefficient and the comprehensive environmental protection coefficient critical threshold; the early warning prompt module receives the operation evaluation coefficient calculated by the data processing module, and when the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold value, the early warning prompt module sends out an operation early warning signal;
and the threshold value adjusting module calculates a secondary adjusting comprehensive environmental protection coefficient critical threshold value through the data processing module according to the operation evaluation coefficient, the operation evaluation coefficient critical threshold value and the comprehensive environmental protection coefficient critical threshold value.
The industrial Internet platform monitoring system and the method have the technical effects and advantages that:
1. the comprehensive environmental protection coefficient critical threshold value is compared with the comprehensive environmental protection coefficient, so that the comprehensive environmental protection performance of the steel industry enterprises can be evaluated, environmental protection problems can be found in time, measures are taken and improved, pollutant emission is reduced, and the environment is protected.
2. By comparing the operation evaluation coefficient critical threshold with the operation evaluation coefficient and timely carrying out early warning when the operation state of the steel production equipment is poor, the failure rate of the steel production equipment is reduced, the production efficiency and the productivity of the steel production equipment are improved, and the production capacity and the competitiveness of steel industry enterprises are improved.
3. Under the condition that the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold, the comprehensive environmental protection coefficient critical threshold is secondarily adjusted, the comprehensive environmental protection coefficient critical threshold is calculated and secondarily adjusted, the comprehensive environmental protection performance of iron and steel industrial enterprises can be accurately judged, the early warning accuracy is improved, environmental protection problems are timely found, environmental pollution is reduced, and the production efficiency and the economic benefit are improved.
Drawings
FIG. 1 is a schematic diagram of an industrial Internet platform monitoring method according to the present application;
fig. 2 is a schematic structural diagram of an industrial internet platform monitoring system according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Fig. 1 shows a schematic diagram of an industrial internet platform monitoring method according to the present application, and an industrial internet platform monitoring method includes the following steps:
step S1: and acquiring pollution emission information and energy consumption information, and calculating a comprehensive environmental protection coefficient according to the pollution emission information and the energy consumption information.
Step S2: setting a comprehensive environmental protection coefficient critical threshold value, and judging the comprehensive environmental protection performance of the iron and steel industry enterprises through comparison of the comprehensive environmental protection coefficient and the comprehensive environmental protection coefficient critical threshold value.
Step S3: and acquiring operation information, and calculating an operation evaluation coefficient according to the operation information.
Step S4: setting an operation evaluation coefficient critical threshold value, and judging the operation state of the steel production equipment through comparison of the operation evaluation coefficient and the operation evaluation coefficient critical threshold value.
Step S5: and performing secondary adjustment on the comprehensive environmental protection coefficient critical threshold according to the operation evaluation coefficient and the comprehensive environmental protection coefficient critical threshold, and calculating to obtain the secondary adjustment comprehensive environmental protection coefficient critical threshold.
In step S1, the pollutant emission information includes a pollutant treatment rate, a noise pollution evaluation value, and a pollutant emission amount ratio; the energy consumption information includes a coal consumption ratio and an electric power consumption ratio.
The pollution emission information reflects the treatment efficiency of pollutants emitted by iron and steel industry enterprises in the production process, the noise pollution level and the control degree of pollutant emission; by analyzing this information, the level of environmental protection of the iron and steel industry enterprises can be known.
The energy consumption information reflects the energy consumed by iron and steel industry enterprises in the production process and mainly comprises a coal consumption ratio and an electric power consumption ratio. By analyzing the information, the energy saving and emission reduction conditions of the iron and steel industry enterprises can be known, and references and bases are provided for improving the energy utilization efficiency, reducing the energy consumption and reducing the carbon emission of the iron and steel industry enterprises.
The detailed descriptions of the pollution treatment rate, the noise pollution evaluation value, the pollutant discharge amount ratio, the coal consumption ratio and the electric power consumption ratio are as follows:
pollution treatment rate: (concentration before treatment of the contaminant-concentration after treatment of the contaminant)/concentration before treatment of the contaminant.
The method comprises the steps of obtaining the concentration of the pollutants before treatment by monitoring the pollutants before treatment, and monitoring the pollutants after treatment to obtain the concentration of the pollutants after treatment; the improvement of the pollution treatment rate can reduce the environmental pollution and improve the environmental quality.
Pollutants including exhaust gas and wastewater, exhaust gas monitoring for iron and steel industry enterprises including, but not limited to, carbon dioxide, sulfur dioxide, nitrogen oxides, particulates, and the like; the monitoring method of the concentration before and after the treatment of the pollutants comprises the following steps: measuring by sampling before and after the treatment of the pollutants respectively and then sending the samples to a laboratory for chemical analysis; the specific method comprises adsorption method, extraction method, gas chromatography, liquid chromatography, atomic absorption spectrometry, etc.; the concentration of contaminants can also be monitored in real time using on-line monitoring devices including gas or water automatic samplers, gas or water continuous analyzers, and the like. These devices are capable of continuously measuring and recording exhaust gas or waste water and can give an alarm in time.
It is noted that the contaminants in the pre-and post-contaminant treatment concentrations of the present application are exhaust gases.
Noise pollution evaluation value: noise value/(distance between measuring point and noise source x preset noise value); the larger the noise pollution evaluation value, the more serious the noise pollution, which can negatively affect the health and life quality of people.
The noise value is a decibel value measured at a certain measuring point in the peripheral area of the noise source; the distance between the measuring point and the noise source refers to the distance between the measuring point and the noise source; the preset noise value is the maximum noise value allowed by the measuring point, and is set according to the actual situation, and is not described herein; the noise source is steel production equipment.
Pollutant emission ratio: a ratio of the pollutant discharge amount to a preset pollutant discharge amount; the preset pollutant discharge amount is the lowest safe discharge amount of the pollutant discharge amount, and the pollution to the environment is greater when the pollutant discharge amount ratio is greater; the concentration and the flow of pollutants are directly measured by installing a sensor or a sample collector near the exhaust emission port, so that the pollutant emission amount is calculated; the greater the pollutant discharge amount ratio, the greater the adverse effect on the environment.
It is noted that the pollutant in the pollutant discharge amount and the preset pollutant discharge amount of the present application is exhaust gas.
The coal consumption ratio is as follows: the ratio of the actual coal consumption to the preset coal consumption; the larger the coal usage ratio, the more resources are actually consumed, and the more adverse effects on the environment are.
The measuring method of the actual coal consumption comprises a meter method (the conveying or storing condition of the coal is monitored in real time by a meter arranged in a conveying pipeline or a coal storage bin so as to obtain the coal consumption); data recording method (by recording the information of equipment operation parameters, production data and the like, and calculating the coal consumption by combining the process flow).
The preset coal consumption is calculated as follows:
preset coal usage (ton) =yield (ton) ×coal consumption (kg/ton) ×high calorific value of coal (kj/kg)/(burner efficiency×low calorific value of coal (kj/kg) ×1000 kg/ton).
The coal consumption refers to the amount of coal required per ton of yield, and the unit is kg/ton; the high-level heating value of coal refers to the heat released when each kilogram of coal burns, and the unit is kilojoules per kilogram; burner efficiency refers to the ability of a burner to convert chemical energy to thermal energy, typically in percent; the low calorific value of coal refers to the heat released per kilogram of coal after complete combustion, in kilojoules per kilogram.
Electric power consumption ratio: the ratio of the power consumption to the preset power consumption; the reduction of the power consumption ratio can reduce energy consumption and environmental pollution; the higher the power usage ratio, the greater the adverse effect on the environment.
And (3) obtaining the electric power consumption: the electricity consumption is monitored by installing an ammeter in general, and the electricity consumption in a certain period of time is obtained by reading ammeter data; in addition, the power consumption can be monitored in real time through the intelligent power grid system.
Calculating the preset electric power consumption: the preset power usage is typically determined by the production plan and the equipment run time of the enterprise. The preset power usage may be calculated according to the following formula:
preset electric power consumption = number of steel production facilities x average electric power consumption of steel production facilities x facility operation time.
The average power consumption of the steel production equipment can be obtained through technical parameters of the steel production equipment or through ammeter monitoring, and the running time of the steel production equipment can be determined through a production plan and equipment running records.
The pollution treatment rate, the noise pollution evaluation value, the pollutant discharge amount ratio, the coal consumption ratio and the electric power consumption ratio are subjected to normalization treatment, and the comprehensive environmental protection coefficient is calculated, wherein the expression is as follows:
wherein Z is a comprehensive environmental protection coefficient, and Pt, nv, pe, cr, er is pollution treatment rate, noise pollution evaluation value, pollutant discharge amount ratio, coal consumption ratio and electric power consumption ratio respectively; alpha 1 、α 2 、α 3 、α 4 、α 5 Predetermined ratio coefficients of pollution treatment rate, noise pollution evaluation value, pollutant discharge amount ratio, coal consumption ratio and electric power consumption ratio, respectively, and alpha 1 ＞α 4 ＞α 3 ＞α 5 ＞α 2 ＞0。
The comprehensive environmental protection coefficient is obtained through the normalization treatment of the pollution treatment rate, the noise pollution evaluation value, the pollutant discharge amount ratio, the coal consumption ratio and the electric power consumption ratio, and the smaller the comprehensive environmental protection coefficient is, the better the performance of the iron and steel industry enterprises in terms of pollution discharge and energy consumption is, and the smaller the negative influence on the environment is; the comprehensive environmental protection coefficient can more comprehensively evaluate the comprehensive environmental protection performance of the iron and steel industry enterprises.
In step S2, a comprehensive environmental protection coefficient critical threshold is set, and the comprehensive environmental protection coefficient critical threshold is marked as Z 0 The setting of the comprehensive environmental protection coefficient critical threshold is carried out according to actual conditions, and the comprehensive environmental protection coefficient critical threshold is compared with the comprehensive environmental protection coefficient, so that the comprehensive environmental protection performance of the iron and steel industry enterprises is judged.
When the comprehensive environmental protection coefficient is larger than the comprehensive environmental protection coefficient critical threshold, the system sends out an early warning signal with poor environmental protection performance, and at the moment, the comprehensive environmental protection performance of the iron and steel industry enterprises is poor, and the iron and steel industry enterprises take the following measures according to the early warning signal with poor environmental protection performance sent out by the system:
the maintenance and the management of the environment-friendly steel production equipment are enhanced, and the normal operation and the pollutant treatment efficiency of the steel production equipment are ensured, so that the aim of reducing pollutant emission is fulfilled.
Clean production is carried out, and the use of coal and electric power is reduced, so that the carbon emission and energy consumption of iron and steel industry enterprises are reduced.
And the environment-friendly action is jointly developed in cooperation with local government and related departments, so that the deep development of environment protection work is promoted, and the social responsibility sense and the image of enterprises are improved.
When the comprehensive environmental protection coefficient is smaller than or equal to the comprehensive environmental protection coefficient critical threshold value, the system sends out an environmental protection performance good signal, and at the moment, the comprehensive environmental protection performance of the iron and steel industry enterprises is good, and the iron and steel industry enterprises do not need to take measures.
The comprehensive environmental protection coefficient critical threshold value is compared with the comprehensive environmental protection coefficient, so that the comprehensive environmental protection performance of the steel industry enterprises can be evaluated, environmental protection problems can be found in time, measures are taken and improved, the normal operation of steel production equipment and the pollutant treatment efficiency can be ensured, the pollutant emission is reduced, and the environment is protected; can reduce carbon emission and energy consumption of iron and steel industry enterprises, and simultaneously is helpful for saving resources.
In step S3, operation information including boiler combustion efficiency, a blast furnace shell vibration frequency ratio, and a gas pressure deviation value is acquired.
The operation information reflects the real-time operation state and performance of the relevant steel production equipment in the steel production process. The boiler combustion efficiency can reflect the full degree of coal combustion and the energy utilization efficiency; the vibration frequency ratio of the blast furnace shell can reflect the vibration state in the blast furnace and reflect the smelting stability of the blast furnace; the gas pressure deviation value can reflect the stability and safety of gas transportation and utilization. The stability and efficiency of the steel production equipment can be evaluated by integrating the operation information, the operation state of the steel production equipment can be known in time by monitoring and analyzing the operation information, possible problems can be found and eliminated, the production process is optimized, the resource consumption and pollution emission are reduced, and the environmental protection and environmental protection level is improved.
The boiler combustion efficiency, the vibration frequency ratio of the blast furnace shell and the gas pressure deviation value are described in detail as follows:
the main fuel used in actual production of iron and steel industry enterprises is coal, and coal is still the most common fuel in actual production of iron and steel industry enterprises because coal is relatively low in price and sufficient.
Boiler combustion efficiency: the combustion efficiency of the boiler is the combustion efficiency of the coal boiler, and refers to the proportion of converting chemical energy into heat energy when the combustion equipment burns coal; the higher the combustion efficiency of the boiler is, the lower the emission of pollutants such as carbon dioxide and the like generated by unit coal is, and the less the influence on environmental protection is; the boiler combustion efficiency can be calculated by measuring the oxygen content, the carbon dioxide content and the flue gas temperature in the flue gas, and the prior art is mature and will not be described herein.
The ratio of the vibration frequency of the blast furnace shell is the ratio of the vibration frequency of the blast furnace shell of the iron-making equipment to the preset vibration frequency of the blast furnace shell, and the preset vibration frequency of the blast furnace shell is set according to the actual conditions such as the specific model size of the blast furnace shell of the iron-making equipment and the like, and is not repeated here; the furnace shell of the blast furnace vibrates due to the change of the internal temperature and pressure of the blast furnace; the excessive vibration frequency of the blast furnace shell can cause the blast furnace to break, and serious consequences are caused, and the vibration frequency of the blast furnace shell is monitored and measured by installing a vibration sensor.
The gas pressure deviation value is a deviation value of gas pressure and preset gas pressure, the gas pressure is the pressure in the process of gas conveying and processing, and the preset gas pressure is the optimal pressure in the process of gas conveying and processing; the too high or too low gas pressure can cause gas leakage and other potential safety hazards, has influence on environmental protection and safety, and can be measured and monitored by installing a pressure sensor; the smaller the gas pressure deviation value, the smaller the influence on environmental protection and safety.
The boiler combustion efficiency, the blast furnace shell vibration frequency ratio and the gas pressure deviation value are subjected to normalization treatment, and an operation evaluation coefficient is calculated, wherein the expression is as follows:
wherein Y is an operation evaluation coefficient, be, bf and Gv are respectively the combustion efficiency of the boiler, the vibration frequency ratio of the blast furnace shell and the deviation value of the gas pressure; beta 1 、β 2 、β 3 Respectively the preset proportionality coefficients of the boiler combustion efficiency, the vibration frequency ratio of the blast furnace shell and the gas pressure deviation value, and beta 2 ＞β 1 ＞β 3 ＞0。
In step S4, an operation evaluation coefficient critical threshold is set, and the operation evaluation coefficient critical threshold is marked as Y 0 The setting of the critical threshold of the operation evaluation coefficient is set according to the actual situation of the iron and steel industry enterprises, and is not repeated here; and comparing the operation evaluation coefficient critical threshold with the operation evaluation coefficient to judge the operation state of the steel production equipment.
When the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold, the system sends an operation early warning signal, and at the moment, the operation state of the steel production equipment is poor, and steel industry enterprises timely carry out maintenance and repair on the steel production equipment which has failed according to the operation early warning signal sent by the system, so that the normal operation of the steel production equipment is ensured, and the occurrence of production accidents is reduced; the method can also update and upgrade the steel production equipment, and can consider updating or upgrading the aged and laggard steel production equipment, thereby improving the operation efficiency and the production capacity of the steel production equipment.
When the operation evaluation coefficient is smaller than or equal to the operation evaluation coefficient critical threshold, the system does not send out a signal, and the iron and steel industry enterprises do not take measures.
By comparing the operation evaluation coefficient critical threshold with the operation evaluation coefficient and timely carrying out early warning when the operation state of the steel production equipment is poor, the operation efficiency and the production capacity of the steel production equipment can be improved, the failure rate of the steel production equipment can be reduced by a steel enterprise through maintenance, updating and upgrading the steel production equipment, and the production efficiency and the productivity of the steel production equipment are improved, so that the production capacity and the competitiveness of the steel industry enterprise are improved; the occurrence of production accidents is reduced, the occurrence rate of the production accidents is reduced, and the life and property safety of staff is ensured.
In step S5, the operation evaluation coefficient is used as a factor for adjusting the critical threshold of the comprehensive environmental protection coefficient, and the operation state of the steel production equipment directly affects the comprehensive environmental protection performance of the steel industry enterprise. If the steel production equipment fails or operates unstably, the emission of environmental pollutants such as waste gas, waste water, waste residue and the like in the production process can exceed the specified limit value, and the environmental protection and the production economic benefit of steel industry enterprises are affected.
Therefore, under the condition that the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold, the comprehensive environmental protection coefficient critical threshold is secondarily adjusted to judge the comprehensive environmental protection performance of the iron and steel industry enterprises more accurately, and an early warning signal is sent out more timely when the comprehensive environmental protection performance of the iron and steel industry enterprises is poorer, and the secondary adjustment comprehensive environmental protection coefficient critical threshold is calculated, wherein the expression is as follows:
wherein Q is a critical threshold value of a secondary regulation comprehensive environment-friendly coefficient, delta is a preset regulation coefficient,
the influence of the running state of the tapping iron production equipment on the comprehensive environmental protection performance can be reflected more intuitively by using the running evaluation coefficient as a factor for adjusting the critical threshold of the comprehensive environmental protection coefficient. Under the condition that the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold, the comprehensive environmental protection coefficient critical threshold is secondarily adjusted, and the secondary adjustment comprehensive environmental protection coefficient critical threshold is calculated, so that the comprehensive environmental protection performance of iron and steel industrial enterprises can be more accurately judged, the early warning accuracy is improved, environmental protection problems are timely found, environmental pollution is reduced, and the production efficiency and economic benefit are improved; and misjudgment and missed judgment are reduced, and the environmental protection cost and economic risk of enterprises are reduced.
Example 2
Embodiment 2 of the present application differs from embodiment 1 in that this embodiment describes an industrial internet platform monitoring system.
Fig. 2 shows a schematic structural diagram of an industrial internet platform monitoring system according to the present application, which includes a data processing module, and a data acquisition module, an early warning prompt module and a threshold adjustment module that are communicatively connected to the data processing module.
The data acquisition module acquires pollution emission information, energy consumption information and operation information, the pollution emission information and the energy consumption information are sent to the data processing module, the data processing module calculates to obtain a comprehensive environmental protection coefficient, the operation information is sent to the data processing module, and the data processing module calculates to obtain an operation evaluation coefficient.
The early warning prompt module receives the comprehensive environmental protection coefficient calculated by the data processing module, and sends out different signals according to the comparison between the comprehensive environmental protection coefficient and the comprehensive environmental protection coefficient critical threshold; the early warning prompt module receives the operation evaluation coefficient calculated by the data processing module, and when the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold, the early warning prompt module sends out an operation early warning signal.
And the threshold value adjusting module calculates a secondary adjusting comprehensive environmental protection coefficient critical threshold value through the data processing module according to the operation evaluation coefficient, the operation evaluation coefficient critical threshold value and the comprehensive environmental protection coefficient critical threshold value.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the application are intended to be included within the scope of the application.
Claims (7)
1. The industrial Internet platform monitoring method is characterized by comprising the following steps of:
step S1: acquiring pollution emission information and energy consumption information, and calculating a comprehensive environmental protection coefficient according to the pollution emission information and the energy consumption information;
step S2: setting a comprehensive environmental protection coefficient critical threshold value, and judging the comprehensive environmental protection performance of the iron and steel industry enterprises through comparison of the comprehensive environmental protection coefficient and the comprehensive environmental protection coefficient critical threshold value;
step S3: acquiring operation information, and calculating an operation evaluation coefficient according to the operation information;
step S4: setting an operation evaluation coefficient critical threshold value, and judging the operation state of the steel production equipment through comparison of the operation evaluation coefficient and the operation evaluation coefficient critical threshold value;
step S5: and performing secondary adjustment on the comprehensive environmental protection coefficient critical threshold according to the operation evaluation coefficient and the comprehensive environmental protection coefficient critical threshold, and calculating to obtain the secondary adjustment comprehensive environmental protection coefficient critical threshold.
2. The industrial internet platform monitoring method according to claim 1, wherein: in step S1, the pollutant emission information includes a pollutant treatment rate, a noise pollution evaluation value, and a pollutant emission amount ratio; the energy consumption information comprises a coal consumption ratio and an electric power consumption ratio;
the pollution treatment rate, the noise pollution evaluation value, the pollutant discharge amount ratio, the coal consumption ratio and the electric power consumption ratio are subjected to normalization treatment, and the comprehensive environmental protection coefficient is calculated, wherein the expression is as follows:
wherein Z is a comprehensive environmental protection coefficient, and Pt, nv, pe, cr, er is pollution treatment rate, noise pollution evaluation value, pollutant discharge amount ratio, coal consumption ratio and electric power consumption ratio respectively; alpha 1 、α 2 、α 3 、α 4 、α 5 Predetermined ratio coefficients of pollution treatment rate, noise pollution evaluation value, pollutant discharge amount ratio, coal consumption ratio and electric power consumption ratio, respectively, and alpha 1 ＞α 4 ＞α 3 ＞α 5 ＞α 2 ＞0。
3. The industrial internet platform monitoring method according to claim 2, wherein: in step S2, a comprehensive environmental protection coefficient critical threshold is set, and the comprehensive environmental protection coefficient critical threshold is marked as Z 0 ；
When the comprehensive environmental protection coefficient is larger than the comprehensive environmental protection coefficient critical threshold, the system sends out an early warning signal of poor environmental protection performance;
when the comprehensive environmental protection coefficient is smaller than or equal to the comprehensive environmental protection coefficient critical threshold value, the system sends out an environmental protection performance good signal.
4. An industrial internet platform monitoring method according to claim 3, wherein: in step S3, the operation information includes the boiler combustion efficiency, the blast furnace shell vibration frequency ratio, and the gas pressure deviation value;
the boiler combustion efficiency, the blast furnace shell vibration frequency ratio and the gas pressure deviation value are subjected to normalization treatment, and an operation evaluation coefficient is calculated, wherein the expression is as follows:
wherein Y is an operation evaluation coefficient, be, bf and Gv are respectively the combustion efficiency of the boiler, the vibration frequency ratio of the blast furnace shell and the deviation value of the gas pressure; beta 1 、β 2 、β 3 Respectively the preset proportionality coefficients of the boiler combustion efficiency, the vibration frequency ratio of the blast furnace shell and the gas pressure deviation value, and beta 2 ＞β 1 ＞β 3 ＞0。
5. The method for monitoring an industrial internet platform according to claim 4, wherein: in step S4, an operation evaluation coefficient critical threshold is set, and the operation evaluation coefficient critical threshold is marked as Y 0 The method comprises the steps of carrying out a first treatment on the surface of the When the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold, the system sends out an operation early warning signal.
6. The industrial internet platform monitoring method according to claim 5, wherein: in step S5, when the operation evaluation coefficient is greater than the operation evaluation coefficient critical threshold, performing secondary adjustment on the comprehensive environmental protection coefficient critical threshold, and calculating a secondary adjustment comprehensive environmental protection coefficient critical threshold, where the expression is:
wherein Q is a critical threshold value of the secondary regulation comprehensive environmental protection coefficient, and delta is a preset regulation coefficient.
7. An industrial internet platform monitoring system for implementing an industrial internet platform monitoring method according to any one of claims 1-6, characterized in that: the system comprises a data processing module, a data acquisition module, an early warning prompt module and a threshold value adjusting module, wherein the data acquisition module, the early warning prompt module and the threshold value adjusting module are in communication connection with the data processing module;
the data acquisition module acquires pollution emission information, energy consumption information and operation information, the pollution emission information and the energy consumption information are sent to the data processing module, the data processing module calculates to obtain a comprehensive environmental protection coefficient, the operation information is sent to the data processing module, and the data processing module calculates to obtain an operation evaluation coefficient;
the early warning prompt module receives the comprehensive environmental protection coefficient calculated by the data processing module, and sends out different signals according to the comparison between the comprehensive environmental protection coefficient and the comprehensive environmental protection coefficient critical threshold; the early warning prompt module receives the operation evaluation coefficient calculated by the data processing module, and when the operation evaluation coefficient is larger than the operation evaluation coefficient critical threshold value, the early warning prompt module sends out an operation early warning signal;
and the threshold value adjusting module calculates a secondary adjusting comprehensive environmental protection coefficient critical threshold value through the data processing module according to the operation evaluation coefficient, the operation evaluation coefficient critical threshold value and the comprehensive environmental protection coefficient critical threshold value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310737681.9A CN116757500A (en) | 2023-06-21 | 2023-06-21 | Industrial Internet platform monitoring system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310737681.9A CN116757500A (en) | 2023-06-21 | 2023-06-21 | Industrial Internet platform monitoring system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116757500A true CN116757500A (en) | 2023-09-15 |
Family
ID=87958567
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310737681.9A Pending CN116757500A (en) | 2023-06-21 | 2023-06-21 | Industrial Internet platform monitoring system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116757500A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117034041A (en) * | 2023-10-08 | 2023-11-10 | 山东智云信息科技有限公司 | Enterprise pollution level assessment system and processing method based on big data |
| CN117098166A (en) * | 2023-10-20 | 2023-11-21 | 深圳曼瑞德科技有限公司 | Operation monitoring system of wrist type monitoring equipment |
| CN117455080A (en) * | 2023-12-25 | 2024-01-26 | 深圳市宏大联合实业有限公司 | Production workshop environment optimization method and system based on Internet of things |
-
2023
- 2023-06-21 CN CN202310737681.9A patent/CN116757500A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117034041A (en) * | 2023-10-08 | 2023-11-10 | 山东智云信息科技有限公司 | Enterprise pollution level assessment system and processing method based on big data |
| CN117034041B (en) * | 2023-10-08 | 2024-01-26 | 山东智云信息科技有限公司 | Enterprise pollution level assessment system and processing method based on big data |
| CN117098166A (en) * | 2023-10-20 | 2023-11-21 | 深圳曼瑞德科技有限公司 | Operation monitoring system of wrist type monitoring equipment |
| CN117098166B (en) * | 2023-10-20 | 2024-01-30 | 深圳曼瑞德科技有限公司 | Operation monitoring system of wrist type monitoring equipment |
| CN117455080A (en) * | 2023-12-25 | 2024-01-26 | 深圳市宏大联合实业有限公司 | Production workshop environment optimization method and system based on Internet of things |
| CN117455080B (en) * | 2023-12-25 | 2024-04-05 | 深圳市宏大联合实业有限公司 | Production workshop environment optimization method and system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116757500A (en) | Industrial Internet platform monitoring system and method | |
| CN104360667B (en) | A kind of polluter on-line monitoring platform and the anti-counterfeiting method of pollution source monitoring data | |
| CN206195827U (en) | Industrial boiler monitoring and analysis aid decision cloud platform system | |
| CN110580936B (en) | Method and system for predicting service life of medium-low temperature SCR denitration catalyst | |
| CN114757380B (en) | Fault early warning system and method for thermal power plant, electronic equipment and storage medium | |
| CN111522323A (en) | Boiler energy efficiency online diagnosis and intelligent control method based on Internet of things technology | |
| CN111582639B (en) | Denitration system running state evaluation system | |
| CN114166998A (en) | Carbon emission metering method and system for cement production enterprise | |
| CN116432897A (en) | Industrial park carbon emission accounting method considering uncertain factors | |
| CN114118726A (en) | Scientific coal blending co-combustion system of coal-fired power plant based on coal full-value chain management | |
| CN116805065B (en) | Intelligent management method for monitoring data of coal powder heating furnace burner | |
| CN116797649A (en) | Incineration treatment performance analysis method and system based on industrial big data | |
| CN117309036A (en) | Intelligent electric power infrastructure environment monitoring method and system | |
| CN215985733U (en) | Regional carbon dioxide emission monitoring and control system | |
| CN111443635A (en) | Energy-saving emission-reducing real-time monitoring system | |
| CN112308397B (en) | Denitration comprehensive performance evaluation method based on thermal power unit | |
| CN211575141U (en) | Tank wagon loading VOC recovery processing system | |
| CN202158556U (en) | Combustion analyzing monitoring device of oil field steam-injected boiler | |
| CN115753675A (en) | Regional carbon dioxide emission monitoring and control system and operation method | |
| CN209927816U (en) | Continuous monitoring system for flue gas desulfurization | |
| CN114742300B (en) | Denitration device boiler flue resistance early warning method and system | |
| CN205861111U (en) | Power boiler burning optimization parameter experiment analyzes system | |
| CN113516416B (en) | Evaluation method, device, equipment and medium for cement kiln waste treatment complete cycle | |
| CN113701185B (en) | Device and method for monitoring high-temperature corrosion degree of ultralow-emission power station boiler | |
| Wang et al. | Online intelligent monitoring system for operation states of dedust facilities in a steel plant |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20230915 |