A method and system for online carbon emission monitoring of coal-fired power generation enterprises

Abstract

The present invention discloses an online carbon emission monitoring method and system for a coal-fired power generation enterprise, and relates to the field of automatic control technology. The present invention comprises coal processing monitoring, boiler combustion monitoring, waste gas emission monitoring and carbon emission monitoring. The present invention obtains a coal mine crushing index by monitoring coal processing, and then obtains an in-furnace combustion index by monitoring boiler combustion, and then sets an in-furnace combustion index by monitoring historical data of waste gas emission, and then collects waste gas emission data, analyzes and obtains a waste gas emission index, and finally analyzes the coal mine crushing index, the in-furnace combustion index and the waste gas emission index, so as to monitor carbon emission. The present invention can realize comprehensive monitoring and management of carbon emission at three levels of coal processing, coal powder combustion and waste gas emission, and improves the carbon emission control efficiency of the enterprise.

Description

Technical Field

[0001] The present invention relates to the field of automation control technology, and in particular to an online carbon emission monitoring method and system for a coal-fired power generation enterprise. Background Art

[0002] Coal-fired power generation is one of the important ways of electricity production. It has large carbon emissions. Excessive carbon emissions may aggravate the greenhouse effect and cause climate problems. Therefore, real-time carbon emissions monitoring of coal-fired power generation companies is necessary.

[0003] Existing technologies such as the invention patent application with announcement number CN117630283A disclose an online carbon emission monitoring method and system for coal-fired power generation enterprises, which relates to the field of carbon emission monitoring technology. The invention is based on an end-edge-cloud system, including: first, collecting real-time monitoring data through a wireless sensor network on the device side and uploading it to an edge computing gateway; secondly, the edge computing gateway determines whether to issue a risk warning for the volume concentration of carbon dioxide based on the real-time monitoring data; and the real-time monitoring data is parsed, pre-processed and uploaded to the cloud; then the cloud obtains the carbon emission calculation results based on the pre-processed data and a preset quantitative model. It makes full use of the advantages of the Internet of Things and cloud computing technologies, can make up for the shortcomings of the existing carbon emission accounting methods of coal-fired power generation enterprises, and scientifically, efficiently and accurately realize the real-time monitoring and control of the total carbon emissions of coal-fired power generation enterprises, and provide effective data support for carbon emission verification.

[0004] The above scheme has at least the following shortcomings: 1. The above scheme only monitors carbon emissions through flue gas analysis. The carbon emissions of coal-fired power generation enterprises are not only related to flue gas emissions, but also to the coal powder processing process and coal powder combustion process. A single analysis from the flue gas perspective cannot fully monitor the carbon emissions of coal-fired power generation enterprises, which reduces the monitoring accuracy.

[0005] 2. The above scheme only analyzes the collected data, but does not elaborate on the carbon emission data collection process. Without analyzing the collection process, the accuracy of the data cannot be guaranteed. At the same time, the monitoring effects and monitoring lifespans of different collection locations and different collection devices are different. Without analyzing the collection locations and collection devices, it is easy to reduce the collection accuracy and increase the collection cost. Summary of the invention

[0006] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an online carbon emission monitoring method and system for coal-fired power generation enterprises.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an online carbon emission monitoring method for coal-fired power generation enterprises, comprising the following steps: Step 1, coal processing monitoring: During coal processing, coal powder particle data and the actual concentrations of various types of particulate dust are collected, and the coal powder particle data and the actual concentrations of various types of particulate dust are analyzed to obtain the coal mine crushing index, and then determine whether dust removal treatment is performed.

[0008] Step 2: Boiler combustion monitoring: Collect the pulverized coal injection rate, analyze the pulverized coal injection rate, obtain the preset concentration of each gas in each furnace area, and simultaneously collect the actual concentration of each gas in each furnace area. Then, based on the preset concentration of each gas in each furnace area, analyze the actual concentration of each gas in each furnace area to obtain the furnace combustion index.

[0009] Step 3: Exhaust emission monitoring: Collect the exhaust gas temperature, and then analyze the historical exhaust gas monitoring data in the database based on the exhaust gas temperature to obtain the exhaust gas monitoring plan. In this way, when the exhaust gas is emitted, collect the exhaust gas emission data, and then analyze the exhaust gas emission data to obtain the exhaust gas emission index.

[0010] Step 4: Carbon emission monitoring: Analyze the coal mine crushing index, furnace combustion index and exhaust gas emission index to obtain the carbon emission index. If the carbon emission index is greater than the preset standard carbon emission index, the staff will be warned.

[0011] Preferably, the coal powder particle data and the actual concentration of each type of particle dust are analyzed, and the specific analysis process is as follows: the maximum concentration of each type of particle dust in each historical environment at each historical coal powder processing rate of each historical coal powder particle size is obtained from the database. If the coal powder particle size is equal to a certain historical coal powder particle size, and the coal powder processing rate is equal to a certain historical coal powder processing rate of the historical coal powder particle size, then the preset concentration of each type of particle dust is equal to the maximum concentration of the historical environment of each type of particle dust at the historical coal powder processing rate of the historical coal powder particle size, thereby obtaining the preset concentration C′ of each type of particle dust a , a is the number of the dust, a=1,2......m, m>2.

[0012] Substitute the preset concentration of each type of particle dust and the actual concentration of each type of particle dust into the coal mine crushing index calculation formula The coal mine crushing index α is obtained, where m is the total number of dust types, C a is the actual concentration of various types of dust particles, ε a is the preset weight factor of Class A particle dust,

[0013] Preferably, the actual concentration of each gas in each furnace area is analyzed, and the specific analysis process is as follows: the preset concentration and actual concentration of each gas in each furnace area are substituted into the combustion index calculation formula The furnace combustion index β, R bc and R′ bc are the preset concentration and actual concentration of gas c in furnace zone b, respectively. b is the furnace zone number, b=1,2......n, n>2, n is the total number of furnace zones, c is the number of each gas in the furnace, c=1,2......i, i>2, i is the total number of gas types, σ b is the weight factor of the preset furnace area b, φ c is the preset weight factor of gas c,

[0014] Preferably, the historical exhaust monitoring data in the database is analyzed, and the specific analysis process is as follows: the historical exhaust monitoring data in the database includes the accuracy of each exhaust area at each temperature, the number of times each device in each exhaust area is used, the accuracy of each monitoring device type and the number of times each device of each monitoring device type is used.

[0015] The average number of times each device in each exhaust area is used at each temperature is calculated to obtain the device life of each exhaust area at each temperature. The accuracy rate and device life of each exhaust area at each temperature are substituted into the usage index calculation formula. The exhaust area d at temperature t is obtained using the index χ td , F td and V td They are the accuracy and device life of exhaust area d at temperature t, t is the temperature number, t=1,2......j, j>2, d is the exhaust area number, d=1,2......x, x>2, F t ′ and V t ′ are the standard exhaust area accuracy rate and standard device life of the exhaust area at the preset temperature t, respectively. and are the weight factors of the preset exhaust area accuracy and the exhaust area device life, respectively. The exhaust area of ​​the maximum exhaust area usage index at each temperature is recorded as the preset monitoring exhaust area at each temperature.

[0016] Similarly, the usage index of each monitoring device at each temperature is obtained, and the exhaust area with the maximum exhaust area usage index at each temperature is recorded as the preset monitoring exhaust area at each temperature.

[0017] If the exhaust gas temperature is equal to a certain temperature, the exhaust gas monitoring plan is: to monitor in the preset monitoring exhaust area at the temperature and collect the exhaust volume of each exhaust gas.

[0018] Preferably, the exhaust gas emission data is analyzed, and the specific analysis process is as follows: the exhaust gas emission data includes the emission amount of each exhaust gas and the power production rate, and the historical emission amount of each exhaust gas at each power historical production rate is obtained from the database. If the power production rate is equal to a certain power historical production rate, it indicates that the standard emission amount of each exhaust gas is the minimum historical emission amount of the power historical production rate, thereby obtaining the standard emission amount P of each exhaust gas. g ′, g is the number of the exhaust gas, g=1,2......q, q>2.

[0019] Substitute the emission of each exhaust gas into the exhaust gas emission index calculation formula The exhaust gas emission index γ is obtained, q is the total number of exhaust gas types, P g is the emission of exhaust gas g, θ g is the preset weighting factor of the exhaust gas g,

[0020] Preferably, the coal mine crushing index, furnace combustion index and exhaust gas emission index are analyzed, and the specific analysis process is as follows: Substitute the coal mine crushing index, furnace combustion index and exhaust gas emission index into the carbon emission calculation formula The carbon emission index A is obtained, α, β and γ are the coal mine crushing index, furnace combustion index and exhaust gas emission index respectively, α′, β′ and γ′ are the preset standard coal mine crushing index, standard furnace combustion index and standard exhaust gas emission index respectively, λ1, λ2 and λ3 are the preset weight factors of coal mine crushing index, furnace combustion index and exhaust gas emission index respectively, λ1>0, λ2>0, λ3>0, λ1+λ2+λ3=1.

[0021] On the other hand, the present invention provides an online carbon emission monitoring system for coal-fired power generation enterprises, including the following modules: a coal processing monitoring module, which is used to collect coal powder particle data and the actual concentration of various types of particulate dust during coal processing, so as to analyze the coal powder particle data and the actual concentration of various types of particulate dust, obtain the coal mine crushing index, and then determine whether to perform dust removal treatment.

[0022] The boiler combustion monitoring module is used to collect the coal powder injection rate, analyze the coal powder injection rate, obtain the preset concentration of each gas in each furnace area, and simultaneously collect the actual concentration of each gas in each furnace area. Then, based on the preset concentration of each gas in each furnace area, the actual concentration of each gas in each furnace area is analyzed to obtain the furnace combustion index.

[0023] The exhaust gas emission monitoring module is used to collect the exhaust gas temperature, and then analyze the historical exhaust gas monitoring data in the database according to the exhaust gas temperature to obtain the exhaust gas monitoring plan, so as to collect the exhaust gas emission data when the exhaust gas is discharged, and then analyze the exhaust gas emission data to obtain the exhaust gas emission index;

[0024] The carbon emission monitoring module is used to analyze the coal mine crushing index, furnace combustion index and exhaust gas emission index to obtain the carbon emission index. If the carbon emission index is greater than the preset standard carbon emission index, the staff will be warned.

[0025] The beneficial effects of the present invention are: 1. The present invention obtains the coal mine crushing index by monitoring coal processing, and then obtains the furnace combustion index by monitoring boiler combustion, and then obtains the exhaust gas emission index by monitoring exhaust gas emissions. Finally, the coal mine crushing index, the furnace combustion index and the exhaust gas emission index are analyzed to monitor carbon emissions. The present invention monitors from three angles: coal powder processing process, coal powder combustion process and exhaust gas emission process, which increases the monitoring accuracy and can be specific to the monitoring of each step, providing assistance to the staff for maintenance.

[0026] 2. The present invention analyzes the historical usage data of the exhaust area and the monitoring equipment, sets the monitoring areas and monitoring equipment at different temperatures, and adjusts the usage of each monitoring equipment in each area according to the temperature of the exhaust gas, thereby reducing the possibility of reduced collection accuracy and the possibility of damage to the device. The present invention improves the monitoring accuracy and can use the best monitoring equipment at different temperatures, thereby increasing the life of the monitoring equipment, which not only improves the accuracy of the analysis, but also reduces the monitoring cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0029] Figure 2 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0030] 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.

[0031] according to Figure 1 As shown, the present invention provides an online carbon emission monitoring method for coal-fired power generation enterprises, comprising the following steps: Step 1, coal processing monitoring: During coal processing, coal powder particle data and the actual concentrations of various types of particulate dust are collected, and the coal powder particle data and the actual concentrations of various types of particulate dust are analyzed to obtain a coal mine crushing index, and then determine whether to perform dust removal treatment.

[0032] In a specific embodiment, the coal powder particle data and the actual concentration of various types of particulate dust are collected, and the specific collection process is as follows: the coal powder particle data includes the coal powder particle size and the coal powder processing rate. When the coal powder is transported to the coal injection device, the coal powder picture is collected by the camera in the coal injection device, and the coal powder particle size is identified from the coal powder picture through image recognition technology. The coal powder particle size is obtained from the coal powder picture. At the same time, the coal powder weight of the standard conveyor belt area is collected by the pressure sensor on the conveyor belt. According to the conveying rate of the conveyor belt in the database, the conveying time of the standard conveyor belt area is obtained. The coal powder weight of the standard conveyor belt area is divided by the conveying time to obtain the coal powder production rate. Secondly, the actual concentration of various types of particulate dust is collected by an optical dust measuring instrument.

[0033] It should be noted that various types of particulate dust refer to particulate dust in various particle diameter ranges. By reducing the particle size of coal powder, the combustion rate of coal powder can be increased.

[0034] In a specific embodiment, the coal powder particle data and the actual concentration of each type of particle dust are analyzed, and the specific analysis process is as follows: the maximum concentration of each type of particle dust in each historical environment at each historical coal powder processing rate of each historical coal powder particle size is obtained from the database. If the coal powder particle size is equal to a certain historical coal powder particle size, and the coal powder processing rate is equal to a certain historical coal powder processing rate of the historical coal powder particle size, then the preset concentration of each type of particle dust is equal to the maximum concentration of the historical environment of each type of particle dust at the historical coal powder processing rate of the historical coal powder particle size, thereby obtaining the preset concentration C′ of each type of particle dust a , a is the number of the dust, a=1,2......m, m>2.

[0035] Substitute the preset concentration of each type of particle dust and the actual concentration of each type of particle dust into the coal mine crushing index calculation formula The coal mine crushing index α is obtained, where m is the total number of dust types, C a is the actual concentration of various types of dust particles, ε a is the preset weight factor of Class A particle dust,

[0036] It should be noted that the maximum allowable concentration C′a′ of various types of particulate dust is obtained from the database.

[0037]

[0038] In a specific embodiment, the determination of whether to perform dust removal is as follows: obtaining the coal mine crushing index when coal processing is normal from the database, selecting the maximum coal mine crushing index and the minimum coal mine crushing index when coal processing is normal, and recording them as the upper limit and lower limit of the coal mine crushing index standard range respectively, thereby obtaining the coal mine crushing index standard range; if the coal mine crushing index does not belong to the coal mine crushing index standard range, reminding the staff to perform dust removal.

[0039] It should be noted that dust removal can effectively reduce the concentration of carbon dust in the air, thereby reducing carbon emissions.

[0040] Step 2: Boiler combustion monitoring: Collect the pulverized coal injection rate, analyze the pulverized coal injection rate, obtain the preset concentration of each gas in each furnace area, and simultaneously collect the actual concentration of each gas in each furnace area. Then, based on the preset concentration of each gas in each furnace area, analyze the actual concentration of each gas in each furnace area to obtain the furnace combustion index.

[0041] In a specific embodiment, the coal powder injection rate is collected, and the specific collection process is as follows: the coal powder injection rate of each nozzle is collected by a sensor of the coal powder injection port, and the coal powder injection rate is obtained by summing up.

[0042] In a specific embodiment, the coal powder injection rate is analyzed, and the specific analysis process is as follows: the coal powder injection historical rate and the power generation historical rate of each historical detection are obtained from the database, and the power generation historical rate of each detection is divided by the coal powder injection historical rate to obtain the historical combustion efficiency of each historical detection. If the historical combustion efficiency of a certain historical detection is greater than the preset combustion efficiency, it indicates that the combustion is normal combustion. The average value of each historical concentration of each gas in each furnace area of ​​each normal combustion historical detection of each coal powder injection historical rate in the database is calculated to obtain the standard historical concentration of each gas in each furnace area corresponding to each coal powder injection historical rate. If the coal powder injection rate is equal to a certain coal powder injection historical rate, then the preset concentration of each gas in each furnace area is equal to the standard historical concentration of each gas in each furnace area corresponding to the coal powder injection historical rate.

[0043] In a specific embodiment, the actual concentration of each gas in each furnace area is collected, and the specific collection process is as follows: a high-temperature resistant gas concentration sensor is set in each furnace area.

[0044] It should be noted that the process of setting up each furnace area is to draw a circle with each air inlet as the center and the preset impact length as the radius, and set the area inside each circle as the furnace area. Since the height of each furnace area is different, the concentration of each gas is also different.

[0045] In a specific embodiment, the actual concentration of each gas in each furnace area is analyzed, and the specific analysis process is as follows: the preset concentration and actual concentration of each gas in each furnace area are substituted into the combustion index calculation formula The furnace combustion index β, R bc and R′ bc are the preset concentration and actual concentration of gas c in furnace zone b, respectively. b is the furnace zone number, b=1,2......n, n>2, n is the total number of furnace zones, c is the number of each gas in the furnace, c=1,2......i, i>2, i is the total number of gas types, σ b is the weight factor of the preset furnace area b, σ b >0, φ c is the preset weight factor of gas c,

[0046] It should be noted that the preset concentration and actual concentration of each gas in each furnace area can be substituted into the combustion index calculation formula The combustion index β of each furnace area is obtained b , the database is used to obtain the average historical combustion index of each furnace area under normal combustion, and the standard historical combustion index β′ of each furnace area is obtained. b If the combustion index of a furnace area is less than the standard historical combustion index, the ventilation volume of the vents in the furnace area is increased. At the same time, the average historical concentration of each gas in each furnace area of ​​normal combustion in the database is calculated to obtain the standard concentration R′ of each gas in each furnace area c ,

[0047] Step 3: Exhaust emission monitoring: Collect the exhaust gas temperature, and then analyze the historical exhaust gas monitoring data in the database based on the exhaust gas temperature to obtain the exhaust gas monitoring plan. In this way, when the exhaust gas is emitted, collect the exhaust gas emission data, and then analyze the exhaust gas emission data to obtain the exhaust gas emission index.

[0048] In a specific embodiment, the exhaust gas temperature is collected, and the specific collection process is as follows: the exhaust gas temperature is collected through a temperature probe at the exhaust port.

[0049] In a specific embodiment, the historical exhaust monitoring data in the database is analyzed, and the specific analysis process is as follows: the historical exhaust monitoring data in the database includes the accuracy of each exhaust area at each temperature, the number of times each device in each exhaust area is used, the accuracy of each monitoring device type and the number of times each device of each monitoring device type is used.

[0050] The average number of times each device in each exhaust area is used at each temperature is calculated to obtain the device life of each exhaust area at each temperature. The accuracy rate and device life of each exhaust area at each temperature are substituted into the usage index calculation formula. The exhaust area d at temperature t is obtained using the index χ td , F td and V td They are the accuracy and device life of exhaust area d at temperature t, t is the temperature number, t=1,2......j, j>2, d is the exhaust area number, d=1,2......x, x>2, F t ′ and V t ′ are the standard exhaust area accuracy rate and standard device life of the exhaust area at the preset temperature t, respectively. and are the weight factors of the preset exhaust area accuracy and the exhaust area device life, respectively. The exhaust area of ​​the maximum exhaust area usage index at each temperature is recorded as the preset monitoring exhaust area at each temperature.

[0051] The average usage times of each monitoring device type at each temperature are calculated to obtain the device life of each monitoring device type at each temperature. The accuracy and device life of each monitoring device type at each temperature are substituted into the usage index calculation formula. In the example, the monitoring device type e for temperature t is obtained using the index χ te , F te and V te The accuracy and device life of the monitoring device type e for temperature t, e = 1, 2...y, y> 2, F t ″ and V t ″ are the standard accuracy of the monitoring device type and the standard device life of the monitoring device type at the preset temperature t, ρ1 and ρ2 are the weight factors of the preset monitoring device type accuracy and the weight factors of the exhaust area device life, ρ1>0, ρ2>0, ρ1+ρ2=1, and the exhaust area with the maximum exhaust area usage index at each temperature is recorded as the preset monitoring exhaust area at each temperature.

[0052] If the exhaust gas temperature is equal to a certain temperature, the exhaust gas monitoring plan is: to monitor in the preset monitoring exhaust area at the temperature and collect the exhaust volume of each exhaust gas.

[0053] It should be noted that the weight factor of the exhaust area accuracy, the weight factor of the area exhaust device life, the weight factor of the monitoring equipment type accuracy and the weight factor of the monitoring equipment type device life are set by the staff.

[0054] In a specific embodiment, the exhaust gas emission data is collected, and the specific collection process is as follows: monitoring is performed in a preset monitoring exhaust area through a preset monitoring exhaust area, and the exhaust volume of each exhaust gas is collected.

[0055] It should be noted that the damage rate and accuracy of each exhaust area are related to the location of the exhaust area. By changing the monitoring area, the accuracy of the analysis results can be improved and the damage to the monitoring equipment can be reduced. At the same time, the monitoring equipment of each exhaust area is stored outside the exhaust duct. When data needs to be collected, the sensor probe is extended for collection. Different collection devices are collectors of different brands and models, with different applicable temperatures, collection accuracy and service life.

[0056] In a specific embodiment, the exhaust gas emission data is analyzed, and the specific analysis process is as follows: the exhaust gas emission data includes the emission amount of each exhaust gas and the power production rate, and the historical emission amount of each exhaust gas at each power historical production rate is obtained from the database. If the power production rate is equal to a certain power historical production rate, it indicates that the standard emission amount of each exhaust gas is the minimum historical emission amount of the power historical production rate, thereby obtaining the standard emission amount P of each exhaust gas. g ′, g is the number of the exhaust gas, g=1,2......q, q>2.

[0057] Substitute the emission of each exhaust gas into the exhaust gas emission index calculation formula The exhaust gas emission index γ is obtained, q is the total number of exhaust gas types, P g is the emission of exhaust gas g, θ g is the preset weighting factor of the exhaust gas g,

[0058] It should be noted that the maximum allowable emission of each exhaust gas U is obtained from the database. g ,

[0059]

[0060] Step 4: Carbon emission monitoring: Analyze the coal mine crushing index, furnace combustion index and exhaust gas emission index to obtain the carbon emission index. If the carbon emission index is greater than the preset standard carbon emission index, the staff will be warned.

[0061] In a specific embodiment, the coal mine crushing index, furnace combustion index and exhaust gas emission index are analyzed, and the specific analysis process is as follows: Substitute the coal mine crushing index, furnace combustion index and exhaust gas emission index into the carbon emission calculation formula The carbon emission index A is obtained, α, β and γ are the coal mine crushing index, furnace combustion index and exhaust gas emission index respectively, α′, β′ and γ′ are the preset standard coal mine crushing index, standard furnace combustion index and standard exhaust gas emission index respectively, λ1, λ2 and λ3 are the preset weight factors of coal mine crushing index, furnace combustion index and exhaust gas emission index respectively, λ1>0, λ2>0, λ3>0, λ1+λ2+λ3=1.

[0062] It should be noted that the average values ​​of each historical normal coal mine crushing index, each historical normal furnace combustion index and each historical normal exhaust gas emission index in the database are calculated to obtain the standard coal mine crushing index, standard furnace combustion index and standard exhaust gas emission index.

[0063] Obtain the number of coal processing problems B1, the number of boiler combustion problems B2, and the number of exhaust gas emission problems B3 from the database,

[0064] according to Figure 2 As shown, the present invention provides an online carbon emission monitoring system for coal-fired power generation enterprises, including the following modules: a coal processing monitoring module, a boiler combustion monitoring module, an exhaust gas emission monitoring module, a carbon emission monitoring module and a database.

[0065] The coal processing monitoring module is connected to the database and the boiler combustion monitoring module respectively, and the exhaust gas emission monitoring module is connected to the carbon emission monitoring module and the exhaust gas emission monitoring module respectively.

[0066] The coal processing monitoring module is used to collect coal powder particle data and the actual concentration of various types of particle dust during coal processing, so as to analyze the coal powder particle data and the actual concentration of various types of particle dust, obtain the coal mine crushing index, and then determine whether to perform dust removal treatment.

[0067] The boiler combustion monitoring module is used to collect the coal powder injection rate, analyze the coal powder injection rate, obtain the preset concentration of each gas in each furnace area, and simultaneously collect the actual concentration of each gas in each furnace area. Then, based on the preset concentration of each gas in each furnace area, the actual concentration of each gas in each furnace area is analyzed to obtain the furnace combustion index.

[0068] The exhaust gas emission monitoring module is used to collect the exhaust gas temperature, and then analyze the historical exhaust gas monitoring data in the database according to the exhaust gas temperature to obtain the exhaust gas monitoring plan, so as to collect the exhaust gas emission data when the exhaust gas is discharged, and then analyze the exhaust gas emission data to obtain the exhaust gas emission index;

[0069] The carbon emission monitoring module is used to analyze the coal mine crushing index, furnace combustion index and exhaust gas emission index to obtain the carbon emission index. If the carbon emission index is greater than the preset standard carbon emission index, the staff will be warned.

[0070] A database is used to store the transmission rate of the conveyor belt, the maximum concentration of each type of particulate dust in each historical environment for each historical coal powder processing rate for each historical coal powder particle size, the maximum allowable concentration of each type of particulate dust, each coal mine crushing index when coal processing is normal, the coal powder injection historical rate of each historical detection, the power generation historical rate of each historical detection, the historical concentration of each gas in each furnace area for each normal combustion historical detection of each coal powder injection historical rate, the historical combustion index of each furnace area for each normal combustion, the historical concentration of each gas in each furnace area for each normal combustion, exhaust monitoring data, the accuracy of each exhaust area at each temperature, the number of uses of a single device in each exhaust area, the accuracy of each monitoring device, the basic collection number of each monitoring device, the historical emissions of each waste gas at each historical electricity production rate, the maximum allowable emissions of each waste gas, the historical normal coal mine crushing index, each historical normal furnace combustion index and each historical normal waste gas emission index.

[0071] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A method for online carbon emission monitoring of a coal-fired power generation enterprise, characterized in that: The steps include: Step 1: Coal processing monitoring: During coal processing, collect coal powder particle data and the actual concentration of various types of particle dust, analyze the coal powder particle data and the actual concentration of various types of particle dust, obtain the coal mine crushing index, and then determine whether to perform dust removal treatment; Step 2: Boiler combustion monitoring: Collect the pulverized coal injection rate, analyze the pulverized coal injection rate, obtain the preset concentration of each gas in each furnace area, and collect the actual concentration of each gas in each furnace area. Then, according to the preset concentration of each gas in each furnace area, analyze the actual concentration of each gas in each furnace area to obtain the furnace combustion index. Step 3, exhaust gas emission monitoring: collect the exhaust gas temperature, and then analyze the historical exhaust gas monitoring data in the database according to the exhaust gas temperature to obtain the exhaust gas monitoring plan, so as to collect the exhaust gas emission data when the exhaust gas is emitted, and then analyze the exhaust gas emission data to obtain the exhaust gas emission index; Step 4: Carbon emission monitoring: Analyze the coal mine crushing index, furnace combustion index and exhaust gas emission index to obtain the carbon emission index. If the carbon emission index is greater than the preset standard carbon emission index, warn the staff; The coal powder particle data and the actual concentration of various types of particulate dust are collected, and the specific collection process is as follows: the coal powder particle data includes the coal powder particle size and the coal powder processing rate. When the coal powder is transported to the coal injection device, the coal powder image is collected by the camera in the coal injection device, and the coal powder particle size is identified from the coal powder image through the image recognition technology. The coal powder particle size is obtained from the coal powder image, and the coal powder weight of the standard conveyor belt area is collected by the pressure sensor on the conveyor belt. According to the conveying rate of the conveyor belt in the database, the conveying time of the standard conveyor belt area is obtained, and the coal powder weight of the standard conveyor belt area is divided by the conveying time to obtain the coal powder production rate. Secondly, the actual concentration of various types of particulate dust is collected by the optical dust measuring instrument; The coal powder particle data and the actual concentration of each type of particle dust are analyzed, and the specific analysis process is as follows: the maximum concentration of each type of particle dust in each historical environment at each historical coal powder processing rate of each historical coal powder particle size is obtained from the database. If the coal powder particle size is equal to a certain historical coal powder particle size, and the coal powder processing rate is equal to a certain historical coal powder processing rate of the historical coal powder particle size, then the preset concentration of each type of particle dust is equal to the maximum concentration of the historical environment of each type of particle dust at the historical coal powder processing rate of the historical coal powder particle size, thereby obtaining the preset concentration C′ of each type of particle dust a , a is the number of dust, a=1,2......m,m>2; Substitute the preset concentration of each type of particle dust and the actual concentration of each type of particle dust into the coal mine crushing index calculation formula The coal mine crushing index α is obtained, where m is the total number of dust types, C a is the actual concentration of various types of dust particles, ε a is the preset weight factor of Class A particle dust, ε a >0, The pulverized coal injection rate is analyzed, and the specific analysis process is as follows: the pulverized coal injection historical rate and the power generation historical rate of each historical detection are obtained from the database, and the power generation historical rate of each detection is divided by the pulverized coal injection historical rate to obtain the historical combustion efficiency of each historical detection. If the historical combustion efficiency of a certain historical detection is greater than the preset combustion efficiency, it indicates that the combustion is normal combustion. The average value of each historical concentration of each gas in each furnace area of ​​each normal combustion historical detection of each pulverized coal injection historical rate in the database is calculated to obtain the standard historical concentration of each gas in each furnace area corresponding to each pulverized coal injection historical rate. If the pulverized coal injection rate is equal to a certain pulverized coal injection historical rate, the preset concentration of each gas in each furnace area is equal to the standard historical concentration of each gas in each furnace area corresponding to the pulverized coal injection historical rate; The actual concentration of each gas in each furnace area is analyzed. The specific analysis process is as follows: Substitute the preset concentration and actual concentration of each gas in each furnace area into the combustion index calculation formula The furnace combustion index β, R bc and R′ bc are the preset concentration and actual concentration of gas c in furnace zone b, respectively. b is the furnace zone number, b=1,2......n, n>2, n is the total number of furnace zones, c is the number of each gas in the furnace, c=1,2......i, i>2, i is the total number of gas types, σ b is the weight factor of the preset furnace area b, σ b >0, φ c is the preset weight factor of gas c, φ c >0, The historical exhaust monitoring data in the database is analyzed, and the specific analysis process is as follows: the historical exhaust monitoring data in the database includes the accuracy of each exhaust area at each temperature, the number of times each device in each exhaust area is used, the accuracy of each monitoring device type, and the number of times each device of each monitoring device type is used; The average number of times each device in each exhaust area is used at each temperature is calculated to obtain the device life of each exhaust area at each temperature. The accuracy rate and device life of each exhaust area at each temperature are substituted into the usage index calculation formula. The exhaust area d at temperature t is obtained using the index χ td , F td and V td They are the accuracy and device life of exhaust area d at temperature t, t is the temperature number, t=1,2......j, j>2, d is the exhaust area number, d=1,2......x, x>2, F t ′ and V t ′ are the standard exhaust area accuracy rate and standard device life of the exhaust area at the preset temperature t, respectively. and are the weight factors of the preset exhaust area accuracy and the exhaust area device life, respectively. Recording the exhaust area with the maximum exhaust area usage index at each temperature as the preset monitoring exhaust area at each temperature; Similarly, the usage index of each monitoring device at each temperature is obtained, and the exhaust area with the maximum exhaust area usage index at each temperature is recorded as the preset monitoring exhaust area at each temperature; If the exhaust gas temperature is equal to a certain temperature, the exhaust gas monitoring scheme is: monitoring is performed in the preset monitoring exhaust area at the temperature, and the exhaust volume of each exhaust gas is collected; The exhaust gas emission data is analyzed, and the specific analysis process is as follows: the exhaust gas emission data includes the emission amount of each exhaust gas and the power production rate, and the historical emission amount of each exhaust gas at each power historical production rate is obtained from the database. If the power production rate is equal to a certain power historical production rate, it means that the standard emission amount of each exhaust gas is the minimum historical emission amount of the power historical production rate, so as to obtain the standard emission amount P of each exhaust gas. g ′, g is the exhaust gas number, g = 1, 2...q, q> 2; Substitute the emission of each exhaust gas into the exhaust gas emission index calculation formula The exhaust gas emission index γ is obtained, q is the total number of exhaust gas types, P g is the emission of exhaust gas g, θ g is the preset weight factor of the exhaust gas g, θ g >0, The coal mine crushing index, furnace combustion index and exhaust gas emission index are analyzed. The specific analysis process is as follows: Substitute the coal mine crushing index, furnace combustion index and exhaust gas emission index into the carbon emission calculation formula The carbon emission index A is obtained, α, β and γ are the coal mine crushing index, furnace combustion index and exhaust gas emission index respectively, α′, β′ and γ′ are the preset standard coal mine crushing index, standard furnace combustion index and standard exhaust gas emission index respectively, λ1, λ2 and λ3 are the preset weight factors of coal mine crushing index, furnace combustion index and exhaust gas emission index respectively, λ1>0, λ2>0, λ3>0, λ1+λ2+λ3=1.

2. The method for online carbon emission monitoring of a coal-fired power generation enterprise according to claim 1, characterized in that: The specific process of judging whether to perform dust removal is as follows: The crushing index of each coal mine when coal processing is normal is obtained from the database, and the maximum coal mine crushing index and the minimum coal mine crushing index when coal processing is normal are selected and recorded as the upper limit and lower limit of the standard range of the coal mine crushing index respectively, so as to obtain the standard range of the coal mine crushing index. If the coal mine crushing index does not belong to the standard range of the coal mine crushing index, the staff is reminded to perform dust removal.

3. An online carbon emission monitoring system for coal-fired power generation enterprises using the online carbon emission monitoring method for coal-fired power generation enterprises according to any one of claims 1-2, characterized in that: Includes the following modules: The coal processing monitoring module is used to collect coal powder particle data and the actual concentration of various types of particle dust during coal processing, so as to analyze the coal powder particle data and the actual concentration of various types of particle dust, obtain the coal mine crushing index, and then determine whether to perform dust removal treatment; The boiler combustion monitoring module is used to collect the pulverized coal injection rate, analyze the pulverized coal injection rate, obtain the preset concentration of each gas in each furnace area, and collect the actual concentration of each gas in each furnace area. Then, according to the preset concentration of each gas in each furnace area, the actual concentration of each gas in each furnace area is analyzed to obtain the furnace combustion index; The exhaust gas emission monitoring module is used to collect the exhaust gas temperature, and then analyze the historical exhaust gas monitoring data in the database according to the exhaust gas temperature to obtain the exhaust gas monitoring plan, so as to collect the exhaust gas emission data when the exhaust gas is discharged, and then analyze the exhaust gas emission data to obtain the exhaust gas emission index; The carbon emission monitoring module is used to analyze the coal mine crushing index, furnace combustion index and exhaust gas emission index to obtain the carbon emission index. If the carbon emission index is greater than the preset standard carbon emission index, the staff will be warned.

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