An industrial flue gas online monitoring system
By collecting and analyzing flue gas data in real time and calculating the interference coefficient between the environment and the pipe port, the problem that the existing flue gas supervision system cannot accurately track pollution sources is solved, and high-accurate flue gas supervision and pollution source positioning are achieved.
Patent Information
- Application Number
- CN202510324203.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-19
- Publication Date
- 2025-05-23
- Estimated Expiration
- 2045-03-19
AI Technical Summary
The existing flue gas supervision system cannot obtain detailed information about the flue gas treatment area and emission area in real time, resulting in difficulty in tracking and controlling pollution sources, and the mutual interference between environmental interference factors and pipe ports affect the accuracy of monitoring data.
The industrial flue gas online supervision system is adopted, including the area division unit, information collection unit, flue gas analysis unit, flue gas inspection unit and pollution tracking unit. By collecting environmental data, flue gas data at the pipe mouth and flue gas data in the environment in real time, the environmental interference coefficient and the interference coefficient between the pipe mouth are calculated, interference factors are eliminated, the accuracy of pollution coefficient calculation is improved, and pollution tracking signals are generated for fault location.
It greatly improves the accuracy of flue gas pollution assessment, realizes real-time tracking of pollution sources and accurate positioning of fault locations, and reduces the impact of environmental interference and inter-pipe interference on monitoring results.
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Figure CN119846153B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of smoke monitoring, and in particular to an industrial smoke online monitoring system. Background Art
[0002] With the progress of the times and the development of industry, the emission of industrial smoke is increasing. Industrial smoke is one of the main sources of air pollution. Industrial smoke contains a variety of harmful substances. Long-term exposure will not only pose a threat to human health, but also cause great pollution to the ecological environment. Therefore, effective smoke supervision can reduce the emission of these harmful substances, which is of great significance for protecting the environment, promoting economic development, ensuring public health, and promoting technological innovation.
[0003] In the traditional industrial flue gas monitoring process, flue gas data is usually collected by installing monitoring equipment, and then processed by manual analysis or simple data analysis software. However, this traditional method has the following shortcomings: first, the deployment of monitoring equipment and the data analysis process are cumbersome and inefficient; second, detailed information on the flue gas treatment area and the emission area cannot be obtained in real time and accurately, resulting in difficulties in tracking and controlling pollution sources; third, environmental interference factors are not well considered, which may affect the accuracy of monitoring data.
[0004] The existing flue gas monitoring system also has many limitations. It cannot eliminate the interference of environmental factors and the mutual interference between pipe openings, which affects the accuracy of the monitoring system. It cannot track pollution and determine whether the problem is in the flue gas treatment area or the flue gas emission area.
[0005] In view of the above technical defects, a solution is now proposed. Summary of the invention
[0006] The purpose of the present invention is to propose an online industrial flue gas monitoring system, which can eliminate the influence of environmental factors and interactions between pipe nozzles on flue gas pollution assessment, greatly improve the accuracy of inspection, and realize pollution tracking and timely discover problems in treatment and emission.
[0007] In order to achieve the above-mentioned object, the present invention adopts the following technical scheme: an industrial flue gas online monitoring system, comprising a region division unit, an information collection unit, a flue gas analysis unit, a flue gas inspection unit and a pollution tracking unit;
[0008] The area division unit is used to obtain information parameters and design drawings of the steel plant, delineate the flue gas treatment area and the flue gas emission area in the flue gas monitoring three-dimensional model, and mark a number of pipeline monitoring nodes and pipe mouth monitoring nodes in the flue gas treatment area and the flue gas emission area respectively;
[0009] The information collection unit is used to obtain real-time environmental data A, real-time smoke data B at the pipe mouth, and real-time smoke data C in the environment, and send the real-time environmental data A, real-time smoke data B at the pipe mouth, and real-time smoke data C in the environment to the smoke analysis unit;
[0010] The smoke analysis unit includes an environmental interference analysis module and a pipe mouth interference analysis module, wherein the environmental interference analysis module is used to obtain and process real-time smoke data B at the pipe mouth and real-time smoke data C in the environment, and calculate the environmental interference coefficient according to the real-time smoke data B at the pipe mouth, the smoke data B at the pipe mouth under normal conditions, the real-time smoke data C in the environment, the smoke data C in the environment under normal conditions, and the real-time environmental data A, and analyze the influence of environmental factors on the pipe mouth pollution coefficient and the smoke pollution coefficient in the environment according to the calculated environmental interference coefficient;
[0011] The nozzle interference analysis module is used to obtain smoke data of the nozzle to be tested, smoke data of adjacent nozzles, and the distance between the nozzle to be tested and the adjacent nozzles, calculate the interference coefficient between nozzles according to the distance between the nozzle to be tested and the adjacent nozzles, the smoke data at the nozzle to be tested, and the smoke data at the adjacent nozzles, and analyze the influence of the interaction between nozzles on the nozzle pollution coefficient according to the calculated interference coefficient between nozzles;
[0012] The smoke inspection unit includes a pipe orifice inspection module and an environment inspection module. The pipe orifice inspection module obtains real-time smoke data B at the pipe orifice, calculates the pipe orifice pollution coefficient based on the real-time smoke data B at the pipe orifice, the environmental interference coefficient and the interference coefficient between pipe orifices, presets a pipe orifice pollution coefficient threshold, and judges the pipe orifice smoke pollution degree according to the preset threshold to generate a pipe orifice leakage signal and send it to the pollution tracking unit;
[0013] The environmental inspection module is used to obtain real-time smoke data C in the environment, calculate the smoke pollution coefficient in the environment based on the real-time smoke data C in the environment and the environmental interference coefficient, preset a smoke pollution coefficient threshold in the environment, and judge the degree of smoke pollution in the environment according to the preset threshold to generate a pipeline self-inspection signal and send it to the pollution tracking unit.
[0014] Furthermore, the pollution tracking unit includes a processing area inspection module and a discharge area inspection module. The processing area inspection module is used to receive and process the pipeline self-inspection signal, obtain the pipeline fault location according to the pipeline self-inspection signal, control the alarm to issue an alarm reminder, and display the fault location through the remote monitoring system, and notify the maintenance personnel to reach the fault location in time;
[0015] The emission area inspection module is used to receive and process pipe orifice leakage signals, identify and locate pipe orifices in the steel plant's flue gas emission area, and notify maintenance personnel to reach the faulty pipe orifice in time for maintenance.
[0016] Furthermore, the specific working process of calculating the environmental interference coefficient is:
[0017] S101, obtaining flue gas data B at a normal state, wherein the flue gas data B at a normal state includes a carbon monoxide content Coc at the pipe mouth, a sulfur dioxide content Soc at the pipe mouth, and a nitrogen oxide content Noc at the pipe mouth;
[0018] S102, obtaining real-time flue gas data B at the pipe outlet, wherein the real-time flue gas data B at the pipe outlet includes a real-time carbon monoxide content Cos at the pipe outlet, a real-time sulfur dioxide content Sos at the pipe outlet, and a real-time nitrogen oxide content Nos at the pipe outlet;
[0019] S103, through the formula: Among them, Zoc is the pollution index at the pipe mouth, and F is a constant;
[0020] S104, obtaining flue gas data C in a normal environment, wherein the flue gas data C in a normal environment includes a carbon monoxide content Czc in a normal environment, a sulfur dioxide content Szc in a normal environment, and a nitrogen oxide content Nzc in a normal environment;
[0021] S105, obtaining real-time flue gas data C in the environment, wherein the real-time flue gas data C in the environment includes a real-time carbon monoxide content Czs in the environment, a real-time sulfur dioxide content Szs in the environment, and a real-time nitrogen oxide content Nzs in the environment;
[0022] S106, through the formula: Among them, Zzc is the smoke pollution index in the environment, and E is a constant;
[0023] S107, acquiring real-time environmental data A, wherein the real-time environmental data A includes real-time environmental temperature Th and relative humidity RHh;
[0024] S108, through the formula: Among them, Gzr is the environmental interference coefficient, which is used to reflect the influence of environmental factors on the pipe pollution coefficient and the smoke pollution coefficient in the environment, and K is a constant.
[0025] Furthermore, the specific working process of calculating the interference coefficient between nozzles is as follows:
[0026] S201, obtaining the carbon monoxide content Co1, the sulfur dioxide content So1 and the nitrogen oxide content No1 of the pipe mouth to be tested;
[0027] S202, obtaining the carbon monoxide content Co2, the sulfur dioxide content So2 and the nitrogen oxide content No2 of the adjacent pipe openings;
[0028] S203, obtaining the distance Ln between the pipe opening to be tested and the adjacent pipe opening;
[0029] S204, through the formula Among them, Rg is the interference coefficient between pipe nozzles, which is used to reflect the influence of the interaction between pipe nozzles on the pipe nozzle pollution coefficient.
[0030] Furthermore, the specific working process of generating the pipe orifice leakage signal is as follows:
[0031] S301, obtaining the real-time carbon monoxide content Cos, the real-time sulfur dioxide content Sos and the real-time nitrogen oxide content Nos at the pipe outlet;
[0032] S302, through the formula: Among them, Ui is the pipe mouth pollution coefficient, which is used to reflect the degree of smoke pollution at the pipe mouth. The higher the pipe mouth pollution coefficient, the higher the degree of smoke pollution at the pipe mouth. Conversely, the lower the pipe mouth pollution coefficient, the lower the degree of smoke pollution at the pipe mouth.
[0033] S303, the threshold of the pipe orifice pollution coefficient is preset as Umax, if Ui is greater than Umax, a pipe orifice leakage signal is generated and sent to the pollution tracking unit;
[0034] If Ui is less than and equal to Umax, no signal is generated.
[0035] Furthermore, the specific working process of generating the pipeline self-test signal is as follows:
[0036] S401, obtaining real-time flue gas data C in the environment, wherein the real-time flue gas data C in the environment includes a real-time carbon monoxide content Czs in the environment, a real-time sulfur dioxide content Szs in the environment, and a real-time nitrogen oxide content Nzs in the environment;
[0037] S402, through the formula: Among them, Vi is the smoke pollution coefficient in the environment, which is used to reflect the degree of smoke pollution in the environment. The higher the smoke pollution coefficient in the environment, the higher the degree of smoke pollution in the environment. Conversely, the lower the smoke pollution coefficient in the environment, the lower the degree of smoke pollution in the environment.
[0038] S403, presetting the smoke pollution coefficient threshold in the environment as Vmax;
[0039] S404, if Vi is greater than Vmax, a pipeline self-check signal is generated and sent to the pollution tracking unit;
[0040] If Vi is less than and equal to Vmax, no signal is generated.
[0041] Further, the specific steps of regional division are:
[0042] S501, taking the location of the steel mill as the origin and defining the flue gas monitoring area with the effective radius R of the steel mill;
[0043] S502, establish a three-dimensional spatial coordinate system, define the directions perpendicular to each other in the horizontal plane where the steel plant is located as the X-axis direction and the Y-axis direction, define the Z-axis perpendicular to the surface of the steel plant and upward, and obtain a three-dimensional model for flue gas monitoring;
[0044] S503, obtaining information parameters and design drawings of the steelmaking plant from the electronic file system of the steelmaking plant, and demarcating the flue gas treatment area and the flue gas emission area in the flue gas monitoring three-dimensional model;
[0045] S504, obtaining a pipeline distribution map of the flue gas treatment area, calibrating the pipeline distribution map one by one in the flue gas monitoring three-dimensional model to obtain a pipeline distribution model, and marking a number of pipeline monitoring nodes according to the distribution direction and pipe diameter length of the pipeline;
[0046] S505, obtaining a pipe orifice distribution map of the smoke emission area, calibrating the pipe orifice distribution map one by one in the smoke monitoring three-dimensional model to obtain a pipe orifice distribution model, and setting a pipe orifice monitoring node on all pipe orifices in the pipe orifice distribution model.
[0047] Furthermore, the specific working process of marking pipeline monitoring nodes is as follows:
[0048] S601, obtaining a pipeline distribution model of the flue gas treatment area, and dividing the pipeline into a first connecting pipeline, a second connecting pipeline, and a third connecting pipeline based on the pipeline distribution model;
[0049] S602: According to the pipeline length P1 and the pipe diameter O1 of the first connected pipeline in the pipeline distribution model, preset the monitoring node interval distance Q1: Among them, T1 is a constant;
[0050] S603, according to the pipeline length P2 and the pipe diameter O2 of the second connecting pipeline in the pipeline distribution model, preset the monitoring node interval distance Q2: Where, T2 is a constant;
[0051] S604. According to the pipeline length P3 and the pipe diameter O3 of the third connecting pipeline in the pipeline distribution model, preset the monitoring node interval distance Q3: Among them, T3 is a constant.
[0052] Furthermore, the specific working process of marking the pipe mouth monitoring node is as follows:
[0053] S701, obtaining a pipe orifice distribution model of a smoke emission area;
[0054] S702, obtaining the specific position of the corresponding nozzle according to the nozzle distribution model;
[0055] S703. A pipe opening monitoring node is set at the top of each pipe opening.
[0056] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:
[0057] The present invention acquires environmental data, smoke data at the pipe mouth and real-time smoke data in the environment in real time, which not only enhances the real-time performance of data acquisition, but also ensures the comprehensiveness and accuracy of the data. By calculating the environmental interference coefficient and the interference coefficient between pipe mouths, the mutual interference between environmental factors and pipe mouths can be eliminated, thereby improving the accuracy of calculating the pipe mouth pollution coefficient and the smoke pollution coefficient in the environment, reducing the influence of environmental factors and the mutual interference between pipe mouths on the monitoring results, further calculating the pipe mouth pollution coefficient and the smoke pollution coefficient in the environment, and judging the degree of smoke pollution at the pipe mouth and the degree of smoke pollution in the environment through preset thresholds, generating a pipe mouth leakage signal or a pipeline self-inspection signal for pollution tracking, locating the fault position, improving the efficiency of fault judgment, and reducing the response time of fault handling. Therefore, the present invention can not only eliminate the environmental interference factors and the mutual interference between pipe mouths during smoke supervision, greatly improving the accuracy of inspection, but also can realize pollution tracking, and timely discover problems in processing and emission. BRIEF DESCRIPTION OF THE DRAWINGS
[0058] Figure 1 A schematic flow chart of an industrial flue gas online monitoring system disclosed in the present invention is shown. DETAILED DESCRIPTION
[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0060] Example:
[0061] like Figure 1 As shown, an industrial flue gas online monitoring system includes a region division unit, an information collection unit, a flue gas analysis unit, a flue gas inspection unit and a pollution tracking unit;
[0062] The area division unit is used to obtain information parameters and design drawings of the steel plant, delineate the flue gas treatment area and the flue gas emission area in the flue gas monitoring three-dimensional model, and mark several pipeline monitoring nodes and pipe mouth monitoring nodes in the flue gas treatment area and the flue gas emission area respectively;
[0063] Specific steps for regional division:
[0064] S601, taking the location of the steel mill as the origin and defining the flue gas monitoring area with the effective radius R of the steel mill;
[0065] S602, establish a three-dimensional spatial coordinate system, define the directions perpendicular to each other in the horizontal plane where the steel plant is located as the X-axis direction and the Y-axis direction, define the Z-axis perpendicular to the surface of the steel plant and upward, and obtain a three-dimensional model for flue gas monitoring;
[0066] S603, obtain information parameters and design drawings of the steelmaking plant from the electronic file system of the steelmaking plant, and define the flue gas treatment area and the flue gas emission area in the flue gas monitoring three-dimensional model;
[0067] S604, obtaining a pipeline distribution map of the flue gas treatment area, calibrating the pipeline distribution map one by one in the flue gas monitoring three-dimensional model to obtain a pipeline distribution model, and marking a number of pipeline monitoring nodes according to the distribution direction and pipe diameter length of the pipeline;
[0068] S605, obtaining a pipe orifice distribution map of the smoke emission area, calibrating the pipe orifice distribution map one by one in the smoke monitoring three-dimensional model to obtain a pipe orifice distribution model, and setting a pipe orifice monitoring node on all pipe orifices in the pipe orifice distribution model;
[0069] The specific working process of marking pipeline monitoring nodes is as follows:
[0070] S701, obtaining a pipeline distribution model of the flue gas treatment area, and dividing the pipeline into a first connecting pipeline, a second connecting pipeline, and a third connecting pipeline based on the pipeline distribution model;
[0071] S702: According to the pipeline length P1 and the pipe diameter O1 of the first connected pipeline in the pipeline distribution model, preset the monitoring node interval Q1: Among them, T1 is a constant;
[0072] S703, according to the pipeline length P2 and the pipe diameter O2 of the second connecting pipeline in the pipeline distribution model, preset the monitoring node interval distance Q2: Where, T2 is a constant;
[0073] S704. According to the pipeline length P3 and the pipe diameter O3 of the third connecting pipeline in the pipeline distribution model, preset the monitoring node interval distance Q3: Among them, T3 is a constant;
[0074] The specific working process of marking the pipe mouth monitoring node is as follows:
[0075] S801, obtaining a pipe outlet distribution model of a smoke emission area;
[0076] S802, obtaining the specific position of the corresponding nozzle according to the nozzle distribution model;
[0077] S803, a pipe opening monitoring node is set at the top of each pipe opening;
[0078] The information collection unit is used to obtain real-time environmental data A, real-time smoke data B at the pipe mouth, and real-time smoke data C in the environment, and send the real-time environmental data A, real-time smoke data B at the pipe mouth, and real-time smoke data C in the environment to the smoke analysis unit;
[0079] The smoke analysis unit includes an environmental interference analysis module and a pipe mouth interference analysis module. The environmental interference analysis module is used to obtain and process the real-time smoke data B at the pipe mouth and the real-time smoke data C in the environment. According to the real-time smoke data B at the pipe mouth, the smoke data B at the pipe mouth under normal conditions, the real-time smoke data C in the environment, the smoke data C in the environment under normal conditions, and the real-time environmental data A, the environmental interference coefficient is calculated. According to the calculated environmental interference coefficient, the influence of environmental factors on the pipe mouth pollution coefficient and the smoke pollution coefficient in the environment is analyzed;
[0080] The specific working process of calculating the environmental interference coefficient is:
[0081] S101, obtaining flue gas data B at a normal state, the flue gas data B at a normal state including a carbon monoxide content Coc at a normal state, a sulfur dioxide content Soc at a normal state, and a nitrogen oxide content Noc at a normal state;
[0082] S102, obtaining real-time flue gas data B at the pipe outlet, the real-time flue gas data B at the pipe outlet including the real-time carbon monoxide content Cos at the pipe outlet, the real-time sulfur dioxide content Sos at the pipe outlet, and the real-time nitrogen oxide content Nos at the pipe outlet;
[0083] S103, through the formula: Among them, Zoc is the pollution index at the pipe mouth, and F is a constant;
[0084] S104, obtaining flue gas data C in a normal environment, the flue gas data C in a normal environment including a carbon monoxide content Czc in a normal environment, a sulfur dioxide content Szc in a normal environment, and a nitrogen oxide content Nzc in a normal environment;
[0085] S105, obtaining real-time flue gas data C in the environment, the real-time flue gas data C in the environment including real-time carbon monoxide content Czs in the environment, real-time sulfur dioxide content Szs in the environment, and real-time nitrogen oxide content Nzs in the environment;
[0086] S106, through the formula: Among them, Zzc is the smoke pollution index in the environment, and E is a constant;
[0087] S107, acquiring real-time environmental data A, where the real-time environmental data A includes real-time environmental temperature Th and relative humidity RHh;
[0088] S108, through the formula: Among them, Gzr is the environmental interference coefficient, which is used to reflect the influence of environmental factors on the pollution coefficient of the pipe orifice and the smoke pollution coefficient in the environment, and K is a constant;
[0089] The nozzle interference analysis module is used to obtain the smoke data of the nozzle to be tested, the smoke data of the adjacent nozzles and the distance between the nozzle to be tested and the adjacent nozzles, calculate the interference coefficient between nozzles according to the distance between the nozzle to be tested and the adjacent nozzles, the smoke data at the nozzle to be tested and the smoke data at the adjacent nozzles, and analyze the influence of the interaction between nozzles on the nozzle pollution coefficient according to the calculated interference coefficient between nozzles;
[0090] The specific working process of calculating the interference coefficient between pipe nozzles is:
[0091] S201, obtaining the carbon monoxide content Co1, the sulfur dioxide content So1 and the nitrogen oxide content No1 of the pipe mouth to be tested;
[0092] S202, obtaining the carbon monoxide content Co2, the sulfur dioxide content So2 and the nitrogen oxide content No2 of the adjacent pipe openings;
[0093] S203, obtaining the distance Ln between the pipe opening to be tested and the adjacent pipe opening;
[0094] S204, through the formula Among them, Rg is the interference coefficient between pipe nozzles, which is used to reflect the influence of the interaction between pipe nozzles on the pipe nozzle pollution coefficient;
[0095] The smoke inspection unit includes a pipe orifice inspection module and an environment inspection module. The pipe orifice inspection module obtains real-time smoke data B at the pipe orifice, calculates the pipe orifice pollution coefficient based on the real-time smoke data B at the pipe orifice, the environmental interference coefficient and the interference coefficient between pipe orifices, presets a pipe orifice pollution coefficient threshold, and judges the pipe orifice smoke pollution degree according to the preset threshold to generate a pipe orifice leakage signal and send it to the pollution tracking unit;
[0096] The specific working process of generating the pipe leakage signal is as follows:
[0097] S301, obtaining the real-time carbon monoxide content Cos, the real-time sulfur dioxide content Sos and the real-time nitrogen oxide content Nos at the pipe outlet;
[0098] S302, through the formula: Among them, Ui is the pipe mouth pollution coefficient, which is used to reflect the degree of smoke pollution at the pipe mouth. The higher the pipe mouth pollution coefficient, the higher the degree of smoke pollution at the pipe mouth. Conversely, the lower the pipe mouth pollution coefficient, the lower the degree of smoke pollution at the pipe mouth.
[0099] S303, the threshold of the pipe orifice pollution coefficient is preset as Umax, if Ui is greater than Umax, a pipe orifice leakage signal is generated and sent to the pollution tracking unit;
[0100] If Ui is less than and equal to Umax, no signal is generated;
[0101] The environment inspection module is used to obtain real-time smoke data C in the environment, calculate the smoke pollution coefficient in the environment based on the real-time smoke data C in the environment and the environmental interference coefficient, preset the smoke pollution coefficient threshold in the environment, and judge the smoke pollution degree in the environment according to the preset threshold to generate a pipeline self-inspection signal and send it to the pollution tracking unit;
[0102] The specific working process of generating pipeline self-test signals is as follows:
[0103] S401, obtaining real-time flue gas data C in the environment, where the real-time flue gas data C in the environment includes real-time carbon monoxide content Czs in the environment, real-time sulfur dioxide content Szs in the environment, and real-time nitrogen oxide content Nzs in the environment;
[0104] S402, through the formula: Among them, Vi is the smoke pollution coefficient in the environment, which is used to reflect the degree of smoke pollution in the environment. The higher the smoke pollution coefficient in the environment, the higher the degree of smoke pollution in the environment. Conversely, the lower the smoke pollution coefficient in the environment, the lower the degree of smoke pollution in the environment.
[0105] S403, presetting the smoke pollution coefficient threshold in the environment as Vmax;
[0106] S404, if Vi is greater than Vmax, a pipeline self-check signal is generated and sent to the pollution tracking unit;
[0107] If Vi is less than and equal to Vmax, no signal is generated;
[0108] The pollution tracking unit includes a treatment area inspection module and a discharge area inspection module. The treatment area inspection module is used to receive and process pipeline self-inspection signals, obtain pipeline fault locations based on pipeline self-inspection signals, control the alarm to send out alarm reminders, and display the fault location through the remote monitoring system, notifying maintenance personnel to reach the fault location in time;
[0109] The emission area inspection module is used to receive and process pipe leakage signals, identify and locate the pipe openings in the steel plant's flue gas emission area, and notify maintenance personnel to reach the faulty pipe opening in time for maintenance.
[0110] In summary of the above technical solutions: the present invention collects real-time environmental data, smoke data at the pipe mouth and real-time smoke data in the environment, which not only enhances the real-time nature of data collection, but also ensures the comprehensiveness and accuracy of the data. By calculating the environmental interference coefficient and the interference coefficient between pipe mouths, the mutual interference between environmental factors and pipe mouths can be eliminated, thereby improving the accuracy of the calculation of the pipe mouth pollution coefficient and the smoke pollution coefficient in the environment, reducing the impact of environmental factors and the mutual interference between pipe mouths on the monitoring results, further calculating the pipe mouth pollution coefficient and the smoke pollution coefficient in the environment, and judging the degree of pipe mouth pollution and the degree of smoke pollution in the environment through preset thresholds, generating a pipe mouth leakage signal or a pipeline self-inspection signal for pollution tracking, locating the fault position, improving the efficiency of fault judgment, and reducing the response time of fault handling. Therefore, the present invention can not only eliminate the environmental interference factors and the mutual interference between pipe mouths during flue gas supervision, greatly improve the accuracy of inspection, but also realize pollution tracking and timely discover problems in processing and emission.
[0111] The threshold is set to facilitate comparison. The threshold depends on the amount of sample data and the number of bases set by technicians in this field for each set of sample data. It does not affect the proportional relationship between the parameter and the quantized value.
[0112] Those skilled in the art can appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by a device or a combination of computer software and electronic hardware; whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution;
[0113] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.
Claims
1. An industrial flue gas online monitoring system, characterized in that: It includes area division unit, information collection unit, smoke analysis unit, smoke inspection unit and pollution tracking unit; The area division unit is used to obtain information parameters and design drawings of the steel plant, delineate the flue gas treatment area and the flue gas emission area in the flue gas monitoring three-dimensional model, and mark a number of pipeline monitoring nodes and pipe mouth monitoring nodes in the flue gas treatment area and the flue gas emission area respectively; The information collection unit is used to obtain real-time environmental data A, real-time smoke data B at the pipe mouth, and real-time smoke data C in the environment, and send the real-time environmental data A, real-time smoke data B at the pipe mouth, and real-time smoke data C in the environment to the smoke analysis unit; The smoke analysis unit includes an environmental interference analysis module and a pipe mouth interference analysis module, wherein the environmental interference analysis module is used to obtain and process real-time smoke data B at the pipe mouth and real-time smoke data C in the environment, and calculate the environmental interference coefficient according to the real-time smoke data B at the pipe mouth, the smoke data B at the pipe mouth under normal conditions, the real-time smoke data C in the environment, the smoke data C in the environment under normal conditions, and the real-time environmental data A, and analyze the influence of environmental factors on the pipe mouth pollution coefficient and the smoke pollution coefficient in the environment according to the calculated environmental interference coefficient; The nozzle interference analysis module is used to obtain smoke data of the nozzle to be tested, smoke data of adjacent nozzles, and the distance between the nozzle to be tested and the adjacent nozzles, calculate the interference coefficient between nozzles according to the distance between the nozzle to be tested and the adjacent nozzles, the smoke data at the nozzle to be tested, and the smoke data at the adjacent nozzles, and analyze the influence of the interaction between nozzles on the nozzle pollution coefficient according to the calculated interference coefficient between nozzles; The smoke inspection unit includes a pipe orifice inspection module and an environment inspection module. The pipe orifice inspection module obtains real-time smoke data B at the pipe orifice, calculates the pipe orifice pollution coefficient based on the real-time smoke data B at the pipe orifice, the environmental interference coefficient and the interference coefficient between pipe orifices, presets a pipe orifice pollution coefficient threshold, and judges the pipe orifice smoke pollution degree according to the preset threshold to generate a pipe orifice leakage signal and send it to the pollution tracking unit; The environmental inspection module is used to obtain real-time flue gas data C in the environment, calculate the flue gas pollution coefficient in the environment based on the real-time flue gas data C in the environment and the environmental interference coefficient, preset a flue gas pollution coefficient threshold in the environment, and judge the degree of flue gas pollution in the environment according to the preset threshold to generate a pipeline self-inspection signal and send it to the pollution tracking unit, wherein the flue gas data are carbon monoxide content, sulfur dioxide content and nitrogen oxide content.
2. The industrial flue gas online monitoring system according to claim 1 is characterized in that: The pollution tracking unit includes a processing area inspection module and a discharge area inspection module. The processing area inspection module is used to receive and process pipeline self-inspection signals, obtain pipeline fault locations according to pipeline self-inspection signals, control alarms to send out alarm reminders, and display fault locations through a remote monitoring system to notify maintenance personnel to reach the fault locations in a timely manner. The emission area inspection module is used to receive and process pipe orifice leakage signals, identify and locate pipe orifices in the steel plant's flue gas emission area, and notify maintenance personnel to reach the faulty pipe orifice in time for maintenance.
3. The industrial flue gas online monitoring system according to claim 1 is characterized in that: The specific working process of calculating the environmental interference coefficient is: S101, obtaining flue gas data B at a normal state, wherein the flue gas data B at a normal state includes a carbon monoxide content Coc at the pipe mouth, a sulfur dioxide content Soc at the pipe mouth, and a nitrogen oxide content Noc at the pipe mouth; S102, obtaining real-time flue gas data B at the pipe outlet, wherein the real-time flue gas data B at the pipe outlet includes a real-time carbon monoxide content Cos at the pipe outlet, a real-time sulfur dioxide content Sos at the pipe outlet, and a real-time nitrogen oxide content Nos at the pipe outlet; S103, through the formula: Among them, Zoc is the pollution index at the pipe mouth, and F is a constant; S104, obtaining flue gas data C in a normal environment, wherein the flue gas data C in a normal environment includes a carbon monoxide content Czc in a normal environment, a sulfur dioxide content Szc in a normal environment, and a nitrogen oxide content Nzc in a normal environment; S105, obtaining real-time flue gas data C in the environment, wherein the real-time flue gas data C in the environment includes a real-time carbon monoxide content Czs in the environment, a real-time sulfur dioxide content Szs in the environment, and a real-time nitrogen oxide content Nzs in the environment; S106, through the formula: Among them, Zzc is the smoke pollution index in the environment, and E is a constant; S107, acquiring real-time environmental data A, wherein the real-time environmental data A includes real-time environmental temperature Th and relative humidity RHh; S108, through the formula: Among them, Gzr is the environmental interference coefficient, which is used to reflect the influence of environmental factors on the pipe pollution coefficient and the smoke pollution coefficient in the environment, and K is a constant.
4. The industrial flue gas online monitoring system according to claim 1 is characterized in that: The specific working process of calculating the interference coefficient between pipe nozzles is: S201, obtaining the carbon monoxide content Co1, the sulfur dioxide content So1 and the nitrogen oxide content No1 of the pipe mouth to be tested; S202, obtaining the carbon monoxide content Co2, the sulfur dioxide content So2 and the nitrogen oxide content No2 of the adjacent pipe openings; S203, obtaining the distance Ln between the pipe opening to be tested and the adjacent pipe opening; S204, through the formula Among them, Rg is the interference coefficient between pipe nozzles, which is used to reflect the influence of the interaction between pipe nozzles on the pipe nozzle pollution coefficient.
5. The industrial flue gas online monitoring system according to claim 1 is characterized in that: The specific working process of generating the pipe leakage signal is as follows: S301, obtaining the real-time carbon monoxide content Cos, the real-time sulfur dioxide content Sos and the real-time nitrogen oxide content Nos at the pipe outlet; S302, through the formula: Among them, Ui is the pipe mouth pollution coefficient, which is used to reflect the degree of smoke pollution at the pipe mouth. The higher the pipe mouth pollution coefficient, the higher the degree of smoke pollution at the pipe mouth. Conversely, the lower the pipe mouth pollution coefficient, the lower the degree of smoke pollution at the pipe mouth. S303, the threshold of the pipe orifice pollution coefficient is preset as Umax, if Ui is greater than Umax, a pipe orifice leakage signal is generated and sent to the pollution tracking unit; If Ui is less than and equal to Umax, no signal is generated.
6. The industrial flue gas online monitoring system according to claim 1 is characterized in that: The specific working process of generating pipeline self-test signals is as follows: S401, obtaining real-time flue gas data C in the environment, wherein the real-time flue gas data C in the environment includes a real-time carbon monoxide content Czs in the environment, a real-time sulfur dioxide content Szs in the environment, and a real-time nitrogen oxide content Nzs in the environment; S402, through the formula: Among them, Vi is the smoke pollution coefficient in the environment, which is used to reflect the degree of smoke pollution in the environment. The higher the smoke pollution coefficient in the environment, the higher the degree of smoke pollution in the environment. Conversely, the lower the smoke pollution coefficient in the environment, the lower the degree of smoke pollution in the environment. S403, presetting the smoke pollution coefficient threshold in the environment as Vmax; S404, if Vi is greater than Vmax, a pipeline self-check signal is generated and sent to the pollution tracking unit; If Vi is less than and equal to Vmax, no signal is generated.
7. The industrial flue gas online monitoring system according to claim 1 is characterized in that: Specific steps for regional division: S501, taking the location of the steel mill as the origin and defining the flue gas monitoring area with the effective radius R of the steel mill; S502, establish a three-dimensional spatial coordinate system, define the directions perpendicular to each other in the horizontal plane where the steel plant is located as the X-axis direction and the Y-axis direction, define the Z-axis perpendicular to the surface of the steel plant and upward, and obtain a three-dimensional model for flue gas monitoring; S503, obtaining information parameters and design drawings of the steelmaking plant from the electronic file system of the steelmaking plant, and demarcating the flue gas treatment area and the flue gas emission area in the flue gas monitoring three-dimensional model; S504, obtaining a pipeline distribution map of the flue gas treatment area, calibrating the pipeline distribution map one by one in the flue gas monitoring three-dimensional model to obtain a pipeline distribution model, and marking a number of pipeline monitoring nodes according to the distribution direction and pipe diameter length of the pipeline; S505, obtaining a pipe orifice distribution map of the smoke emission area, calibrating the pipe orifice distribution map one by one in the smoke monitoring three-dimensional model to obtain a pipe orifice distribution model, and setting a pipe orifice monitoring node on all pipe orifices in the pipe orifice distribution model.
8. The industrial flue gas online monitoring system according to claim 7 is characterized in that: The specific working process of marking pipeline monitoring nodes is as follows: S601, obtaining a pipeline distribution model of the flue gas treatment area, and dividing the pipeline into a first connecting pipeline, a second connecting pipeline, and a third connecting pipeline based on the pipeline distribution model; S602: According to the pipeline length P1 and the pipe diameter O1 of the first connected pipeline in the pipeline distribution model, preset the monitoring node interval distance Q1: Among them, T1 is a constant; S603, according to the pipeline length P2 and the pipe diameter O2 of the second connecting pipeline in the pipeline distribution model, preset the monitoring node interval distance Q2: Where, T2 is a constant; S604: According to the pipeline length P3 and the pipe diameter O3 of the third connecting pipeline in the pipeline distribution model, preset the monitoring node interval distance Q3: Among them, T3 is a constant.
9. The industrial flue gas online monitoring system according to claim 8, characterized in that: The specific working process of marking the pipe mouth monitoring node is as follows: S701, obtaining a pipe orifice distribution model of a smoke emission area; S702, obtaining the specific position of the corresponding nozzle according to the nozzle distribution model; S703. A pipe opening monitoring node is set at the top of each pipe opening.
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