A method and system for dynamic monitoring of environmental emissions in cement production based on the Internet of Things

Abstract

The present invention discloses a method and system for dynamic supervision of environmental emissions in cement production based on the Internet of Things, which belongs to the field of production environmental protection. The method includes: constructing a unified data indicator system according to the cement kiln production process; building an Internet of Things architecture, and collecting data of each cement kiln production line based on the Internet of Things architecture; dynamically configuring the indicators and calculation formulas that need to be observed based on the Internet of Things platform of the Internet of Things architecture, and calculating the indicators according to the collected data; and performing a comprehensive evaluation of environmental emissions on the Internet of Things platform according to the results of the indicator calculation. The present invention establishes a unified data indicator system for the emission conditions of different cement production lines, and realizes data collection, indicator calculation, and comprehensive evaluation of environmental emissions based on the Internet of Things, thereby realizing dynamic supervision of cement kiln production lines, breaking away from artificial restrictions, and realizing scientific and precise pollution control.

Description

Technical Field

[0001] The present invention belongs to the field of production environmental protection, and specifically, the present invention relates to a method and system for dynamic monitoring of cement production environmental protection emissions based on the Internet of Things. Background Art

[0003] The current cement industry has overcapacity and a low annual operating rate. It will continue to face pressures and challenges such as weak market demand, further overcapacity, and rising environmental costs for a certain period of time. Through ultra-low emission transformation, we will set a benchmark for green development in the industry and adopt differentiated environmental management policies to allow companies with high environmental performance levels to truly benefit from the policy dividends and drive the overall transformation and upgrading of the industry. By encouraging and supporting the development of ultra-low emission companies, we can create a fair and just competition, healthy and orderly market environment, solve the problem of bad money driving out good money, and effectively promote the green, low-carbon and high-quality development of the industry.

[0004] In the cement industry, the goal of achieving ultra-low emission transformation is to achieve emission concentrations of particulate matter, sulfur dioxide, and nitrogen oxides of no more than 10 mg / m 3 , 35mg / m 3 , 50mg / m 3 At present, the environmental emission supervision of cement enterprises on production lines is still at the stage of manual reporting, which easily leads to the passive waiting of superior supervision units and fraud by subordinate supervision units during surprise inspections.

[0005] To this end, the present invention proposes a method and system for dynamic monitoring of environmental emissions in cement production based on the Internet of Things. Summary of the invention

[0006] The present invention aims to overcome the shortcomings of the prior art and proposes a method and system for dynamic supervision of environmental emissions in cement production based on the Internet of Things, so as to achieve the following purposes: establish a unified data indicator system for emissions from different cement production lines, and realize data collection, indicator calculation, and comprehensive evaluation of environmental emissions based on the Internet of Things, thereby realizing dynamic supervision of cement kiln production lines, breaking away from manual restrictions, and achieving scientific and precise pollution control.

[0007] In order to achieve the above object, the technical solution adopted by the present invention is: a method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things, the method comprising the following steps:

[0008] Step S1, constructing a unified data indicator system according to the cement kiln production process;

[0009] Step S2: constructing an Internet of Things architecture, and collecting data of each cement kiln production line based on the Internet of Things architecture;

[0010] Step S3: The IoT platform based on the IoT architecture dynamically configures the indicators to be observed and their calculation formulas, and calculates the indicators based on the collected data;

[0011] Step S4: Based on the calculation results of the indicators, the Internet of Things platform conducts a comprehensive evaluation of environmental emissions.

[0012] Preferably, in step S2, the Internet of Things architecture includes an Internet of Things platform and an edge gateway, wherein each cement kiln production line is configured with an edge gateway and communicates with the Internet of Things platform; the edge gateway is used to collect data from each cement kiln production line and send it to the Internet of Things platform; the Internet of Things platform is used to perform indicator calculations and comprehensive environmental emission evaluations based on the collected data, and provide an indicator observation interface to users.

[0013] Preferably, in step S3, after the user selects the indicators to be observed, the Internet of Things platform maintains the point table information according to the user selection results, and sends the maintained point table information to the edge gateway, and the edge gateway then collects data according to the corresponding point table information.

[0014] Preferably, in step S3, the Internet of Things platform configures the indicator calculation as real-time stream task calculation, wherein the real-time stream task calculation is triggered only when the data required to be collected for the indicator calculation have values ​​at the same time.

[0015] Preferably, the Internet of Things platform also sets a corresponding upper and / or lower threshold for each indicator. When the calculated result of the indicator is lower than the corresponding lower threshold, or higher than the corresponding upper threshold, an alarm for the corresponding indicator is issued on the indicator observation interface.

[0016] Preferably, in step S4, the comprehensive evaluation of environmental emissions of the Internet of Things platform is calculated by the following formula:

[0017] C=m1*k1+m2*k2+……+m n *k n ;

[0018] Among them, C represents the comprehensive evaluation result of environmental emissions; m represents the calculation result of the indicator; k represents the weight of the indicator; and n represents the number of indicators involved in the comprehensive evaluation of environmental emissions.

[0019] Preferably, the indicators of the data indicator system include ammonia flow rate, unit ammonia consumption, bypass vent damper opening, kiln head particulate matter concentration, kiln tail particulate matter concentration, kiln tail sulfur dioxide concentration, kiln tail oxygen content, SCR system pressure difference, reaction tower 1 layer lamination, reaction tower 2 layer lamination, and screw fan head temperature.

[0020] Preferably, the unit consumption of ammonia water, the pressure difference of the SCR system, and the layer pressure of the reaction tower are used as the primary indicators of the data indicator system.

[0021] Preferably, in step S3, the calculation formula of the index of unit consumption of ammonia water is:

[0022] A = (x*0.92) / (y / α), where A is the unit consumption index of ammonia water, x is the flow rate of ammonia water, y is the kiln feed amount, and α is the kiln feed conversion coefficient;

[0023] The index calculation formula for the SCR system pressure difference is: B = ij;

[0024] Among them, B is the SCR system pressure difference index, i is the SCR outlet pressure, and j is the SCR inlet pressure.

[0025] At the same time, the present application also proposes a dynamic monitoring system for environmental emissions from cement production based on the Internet of Things. The system includes a computer, which is used to execute a computer program constructed according to the above-mentioned dynamic monitoring method for environmental emissions from cement production based on the Internet of Things.

[0026] The technical effects of the present invention are:

[0027] (1) The present invention establishes a unified data indicator system based on the cement kiln production process, thereby overcoming the influence of data differentiation of different cement kiln production lines.

[0028] (2) The Internet of Things platform of the present invention realizes dynamic monitoring of various data under the environmental protection emission requirements of cement production through real-time calculation of various indicators and configuration of the indicator observation interface.

[0029] (3) In the process of dynamic monitoring of environmental emissions in cement production, the present invention breaks away from artificial restrictions and achieves scientific and precise pollution control. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The present invention is a flowchart of a method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things. DETAILED DESCRIPTION

[0031] The following is a further detailed description of the specific implementation of the present invention by describing the embodiments with reference to the accompanying drawings, with the purpose of helping those skilled in the art to have a more complete, accurate and in-depth understanding of the inventive concept and technical solution of the present invention and to facilitate its implementation. In order to make the technical solution of the present invention clearer, the present invention is explained by the following embodiments.

[0032] This embodiment proposes a method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things. Figure 1The method flow chart shown in the figure comprises the following steps:

[0033] Step S1, constructing a unified data indicator system according to the cement kiln production process;

[0034] Step S2: constructing an Internet of Things architecture, and collecting data of each cement kiln production line based on the Internet of Things architecture;

[0035] Step S3: The IoT platform based on the IoT architecture dynamically configures the indicators to be observed and their calculation formulas, and calculates the indicators based on the collected data;

[0036] Step S4: Based on the calculation results of the indicators, the Internet of Things platform conducts a comprehensive evaluation of environmental emissions.

[0037] Different cement kiln production lines have different output specifications, resulting in different data such as kiln feed volume and ammonia consumption, so it is necessary to establish a unified data indicator system for evaluation. In step S1 of this embodiment, the indicators of the established unified data indicator system include ammonia flow rate, unit ammonia consumption, bypass vent damper opening, kiln head particle concentration, kiln tail particle concentration, kiln tail sulfur dioxide concentration, kiln tail oxygen content, SCR (selective catalytic reduction technology) system pressure difference, reaction tower lamination, screw fan head temperature, etc. These indicator data can be collected and processed by various sensors set on the cement kiln production line.

[0038] For example, the unit consumption of ammonia is constructed based on the ammonia flow rate and the cement kiln feed rate. The unit consumption of ammonia refers to the ratio of the value of the kiln feed rate converted into the unit of clinker to the ammonia flow rate after loss. This indicator reflects the unit consumption of ammonia in the cement kiln production line and is used to evaluate the unit consumption of ammonia in production lines of different specifications. The bypass vent damper opening refers to the damper opening that controls the ammonia flow rate. The particle concentration at the kiln head refers to the emission concentration index of the particles at the kiln head. The particle concentration at the kiln tail, the sulfur dioxide concentration at the kiln tail, and the oxygen content at the kiln tail respectively represent the indicators of the particle emission concentration, sulfur dioxide emission concentration, and oxygen emission content at the kiln tail. The reaction tower layer pressure refers to the reaction tower layer pressure where ammonia and cement kiln exhaust gas react. The SCR system pressure difference is constructed based on the cement SCR inlet pressure and outlet pressure.

[0039] In addition, this embodiment also uses the unit consumption of ammonia water, the pressure difference of the SCR system, and the layer pressure of the reaction tower as the primary indicators of the data indicator system. As primary indicators, users need to pay special attention to them when observing the indicators. At the same time, when conducting a comprehensive evaluation of environmental emissions, they should also have a higher evaluation priority or be assigned a higher weight, so as to achieve a more accurate comprehensive evaluation of environmental emissions. In specific implementation, users can also flexibly select primary indicators according to actual conditions.

[0040] In step S2 of the present embodiment, the IoT architecture to be built includes an IoT platform and an edge gateway, wherein each cement kiln production line is equipped with an edge gateway and communicates with the IoT platform. The edge gateway is used to collect data from each cement kiln production line and send it to the IoT platform. At the same time as data transmission, the edge gateway also has a certain data processing capability, that is, the sensor data of each cement kiln production line can be collected and processed by the edge gateway and sent to the IoT platform. The IoT platform is used to perform indicator calculations and comprehensive environmental emission evaluations based on the collected data, and to provide an indicator observation interface to the user, wherein the indicator calculation results are displayed on the indicator observation interface. The IoT platform is an integrated software framework, usually configured in a high-performance server, designed to support the connection, management, data analysis, user interface configuration, etc. of IoT devices.

[0041] In this embodiment, the user can select the indicators he wants to observe from the established unified data indicator system as needed. After selecting the indicators to be observed, the Internet of Things platform maintains the point table information according to the user's selection results (the point table information usually defines the equipment point information that the gateway needs to collect or configure, such as the location, name, and other information of various sensors on the cement kiln production line), and sends the maintained point table information to the edge gateway. The edge gateway then collects data based on the corresponding point table information and sends it to the Internet of Things platform.

[0042] In step S3 of this embodiment, when calculating the index, the Internet of Things platform configures the index calculation as a real-time stream task calculation (a real-time stream task means that the calculation can be performed immediately after receiving the data, thereby continuously updating the index calculation result). Among them, due to different indicators, the business logic is usually inconsistent, and the time of data arrival is also different. Therefore, in order to improve the accuracy of the calculation, the real-time stream task of this embodiment is configured as follows: the data required for the index calculation is only triggered when they all have values ​​at the same time. For example, assuming that the data required for the index calculation are a, b, and c, respectively, and the result of the index calculation is d, then if a, b, and c are at the same time, one or more of them have no value, then the result d has no value; only when a, b, and c have values ​​at the same time, will the real-time stream task calculation be triggered, and then the result d will be output.

[0043] When users observe indicators through the indicator observation interface, it is difficult to distinguish abnormal data from a large amount of indicator data with the naked eye. Therefore, in this embodiment, the Internet of Things platform also sets corresponding upper and / or lower thresholds for each indicator. When the calculation result of the indicator is lower than the corresponding lower threshold, or higher than the corresponding upper threshold, the corresponding indicator is warned on the indicator observation interface. For example, yellow marks indicate warnings, and colorless indicates normal. According to the color-annotated abnormal information, users can guide the corresponding production line to make adjustments. What's more, the Internet of Things platform can also set an excess threshold based on the amount of the indicator being lower than the lower threshold, or higher than the upper threshold, so as to further divide the warning level. For example, when a certain indicator is lower than the lower threshold, or the amount of the indicator being higher than the upper threshold exceeds the set excess threshold, the corresponding indicator is marked in red, indicating a serious warning.

[0044] In step S3 of this embodiment, according to the established unified data indicator system, the relevant indicator calculation formula can be configured and saved in advance in the Internet of Things platform, so as to improve the working efficiency of the Internet of Things platform. The specific calculation formula is often related to the production line of the cement kiln. For example, the indicator calculation formula for the unit consumption of ammonia water is:

[0045] A=(x*0.92) / (y / α), where A is the unit consumption index of ammonia water, x is the ammonia water flow rate, y is the kiln feed amount, α is the kiln feed conversion coefficient; 0.92 is the ammonia water loss coefficient.

[0046] The index calculation formula for the SCR system pressure difference is: B = ij;

[0047] Among them, B is the SCR system pressure difference index, i is the SCR outlet pressure, and j is the SCR inlet pressure.

[0048] Step S3 of this embodiment realizes dynamic monitoring of various data under the environmental emission requirements of cement production through real-time calculation of various indicators and configuration of indicator observation interface. However, a comprehensive evaluation is still needed to distinguish different cement kiln production lines. Therefore, in step S4 of this embodiment, the environmental emission comprehensive evaluation of the Internet of Things platform is performed through the following formula:

[0049] C=m1*k1+m2*k2+……+m n *k n ;

[0050] Among them, C represents the comprehensive evaluation result of environmental emissions; m represents the calculation result of the indicator; k represents the weight of the indicator; and n represents the number of indicators involved in the comprehensive evaluation of environmental emissions. This evaluation method reflects the importance of each indicator in the overall evaluation. By assigning different weights, the influence of certain key indicators (such as primary indicators) can be highlighted, making the evaluation results more in line with actual needs, more comprehensive and scientific.

[0051] At the same time, this embodiment also proposes a dynamic monitoring system for environmental emissions from cement production based on the Internet of Things. The system includes a computer, which is used to execute a computer program constructed according to the above-mentioned dynamic monitoring method for environmental emissions from cement production based on the Internet of Things.

[0052] This embodiment establishes a unified data indicator system for emissions from different cement production lines, and implements data collection, indicator calculation, and comprehensive environmental emission evaluation based on the Internet of Things, thereby achieving dynamic supervision of cement kiln production lines, breaking away from manual restrictions, and achieving scientific and precise pollution control.

[0053] The present invention is described above by way of example in conjunction with the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-mentioned methods. As long as various non-substantial improvements are made using the method concept and technical solution of the present invention; or the above concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things, characterized by: The method comprises the following steps: Step S1, constructing a unified data indicator system according to the cement kiln production process; Step S2: constructing an Internet of Things architecture, and collecting data of each cement kiln production line based on the Internet of Things architecture; Step S3: The IoT platform based on the IoT architecture dynamically configures the indicators to be observed and their calculation formulas, and calculates the indicators based on the collected data; Step S4: Based on the calculation results of the indicators, the Internet of Things platform conducts a comprehensive evaluation of environmental emissions.

2. According to claim 1, a method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things is characterized by: In step S2, the Internet of Things architecture includes an Internet of Things platform and an edge gateway, wherein each cement kiln production line is equipped with an edge gateway and communicates with the Internet of Things platform; the edge gateway is used to collect data from each cement kiln production line and send it to the Internet of Things platform; the Internet of Things platform is used to perform indicator calculations and comprehensive environmental emission evaluations based on the collected data, and provide an indicator observation interface to users.

3. The method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things according to claim 2 is characterized by: In step S3, after the user selects the indicators to be observed, the IoT platform maintains the point table information according to the user selection results, and sends the maintained point table information to the edge gateway, which then collects data based on the corresponding point table information.

4. The method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things according to claim 2 is characterized by: In step S3, the Internet of Things platform configures the indicator calculation as real-time stream task calculation, wherein the real-time stream task calculation is triggered only when the data required to be collected for the indicator calculation have values ​​at the same time.

5. The method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things according to claim 2 is characterized by: The IoT platform also sets corresponding upper and / or lower thresholds for each indicator. When the calculated result of an indicator is lower than the corresponding lower threshold, or higher than the corresponding upper threshold, an alarm for the corresponding indicator will be issued on the indicator observation interface.

6. The method for dynamic monitoring of cement production environmental emissions based on the Internet of Things according to claim 1 is characterized by: In step S4, the comprehensive evaluation of environmental emissions of the IoT platform is calculated using the following formula: C=m1*k1+m2*k2+……+m n *k n ; Among them, C represents the comprehensive evaluation result of environmental emissions; m represents the calculation result of the indicator; k represents the weight of the indicator; and n represents the number of indicators involved in the comprehensive evaluation of environmental emissions.

7. A method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things according to any one of claims 1 to 6, characterized in that: The indicators of the data indicator system include ammonia flow rate, unit ammonia consumption, bypass vent damper opening, kiln head particulate matter concentration, kiln tail particulate matter concentration, kiln tail sulfur dioxide concentration, kiln tail oxygen content, SCR system pressure difference, reaction tower 1 layer lamination, reaction tower 2 layer lamination, and screw fan head temperature.

8. The method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things according to claim 7 is characterized by: The unit consumption of ammonia water, the pressure difference of the SCR system, and the layer pressure of the reaction tower are used as the primary indicators of the data indicator system.

9. The method for dynamic monitoring of environmental emissions in cement production based on the Internet of Things according to claim 7 is characterized by: In step S3, the calculation formula of the index of unit consumption of ammonia water is: A = (x*0.92) / (y / α), where A is the unit consumption index of ammonia water, x is the flow rate of ammonia water, y is the kiln feed amount, and α is the kiln feed conversion coefficient; The index calculation formula for the SCR system pressure difference is: B = ij; Among them, B is the SCR system pressure difference index, i is the SCR outlet pressure, and j is the SCR inlet pressure.

10. A dynamic monitoring system for environmental emissions in cement production based on the Internet of Things, characterized by: The system includes a computer, which is used to execute a computer program constructed according to a method for dynamic supervision of environmental emissions in cement production based on the Internet of Things according to any one of claims 1 to 9.

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