Paper mill carbon emission remote detection system and method

Abstract

The invention discloses a remote detection system and method for carbon emission of a paper mill. According to the system, the output end of a concentration detection module is connected with the input end of a distribution acquisition module, the output end of the distribution acquisition module is connected with the input end of a data analysis module, and the output end of the data analysis module is connected with the input end of a cloud database module; the distributed acquisition module can remotely transmit the acquired and analyzed carbon emission data through an internal terminal network node module, a node processing module and a data management module, so that the system is more stable and faster in the information transmission process in the use process; meanwhile, various sensors in the concentration detection module form a sensor group by the terminal network node module, one terminal sensor network node is responsible for information collection of one sensor group, and each paper mill carbon emission detection point is provided with a distributed sensor group in an unfixed point manner, so that the transmission efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of remote carbon emission detection, and specifically relates to a remote carbon emission detection system and method for a paper mill. Background Art

[0002] A paper mill is a factory that makes paper through a mechanical assembly line. Papermaking can be divided into two forms: mechanical and manual. The mechanical process is carried out continuously on a paper machine. The pulp suitable for paper quality is diluted with water to a certain concentration, and initially dehydrated on the wire section of the paper machine to form wet paper sheets, which are then pressed and dehydrated, and then dried into paper. The manual process uses a frame with a bamboo curtain, polyester mesh or copper mesh to copy the fibers suspended in the water into wet paper sheets, which are pressed and dehydrated, and then dried or dried into paper. The carbon emissions of paper mills need to be tested.

[0003] However, during the use of common systems, information transmission cannot be achieved remotely, which affects the transmission speed, and the data obtained by detection is inconvenient to store. Summary of the invention

[0004] The purpose of the present invention is to provide a system and method for remotely detecting carbon emissions from a paper mill in order to solve the above-mentioned problems.

[0005] The technical solution adopted by the present invention is as follows: a remote detection system for carbon emissions from a paper mill, comprising a power supply module, a distribution acquisition module, a concentration detection module, a distribution acquisition module, a data analysis module, a cloud database module, a flue gas acquisition module, a greenhouse gas acquisition module, a terminal network node module, a node processing module and a data management module, wherein the output end of the power supply module is connected to the input end of the distribution acquisition module, the output end of the distribution acquisition module is connected to the input end of the concentration detection module, the output end of the concentration detection module is connected to the input end of the distribution acquisition module, the output end of the distribution acquisition module is connected to the input end of the data analysis module, and the output end of the data analysis module is connected to the input end of the cloud database module; The distributed acquisition module is internally provided with a terminal network node module, a node processing module and a data management module, and the overall output end of the terminal network node module, the node processing module and the data management module is connected to the input end of the cloud database module.

[0006] In a preferred embodiment, the flue gas collection module measures the CO2 concentration distribution and the differential pressure distribution of the flue cross section based on the grid measurement principle, and the flue gas collection module uses environmental CEMS monitoring data for the flue gas flow rate; in addition, the flue gas collection module is provided with 3 sampling probes (1, 2, 3m) with different lengths to obtain flue gas at different spatial positions, and characterize the true value of the CO2 concentration of the flue cross section through sufficient mixing.

[0007] In a preferred embodiment, the greenhouse gas collection module is used to monitor the CO2 concentration in the flue gas emitted by the chimney of the paper mill in real time and convert it into CO 2 The real-time emission is then transmitted to the information transmission port inside the distribution acquisition module. The greenhouse gas acquisition module completes flue gas sampling, concentration measurement and system backwashing, and realizes flue gas CO 2 / O 2 The data collection includes concentration, temperature, humidity, pressure, flue gas flow, unit power generation, purchased power and other data. The data processing and statistics module calculates and processes the collected data to obtain the main parameters such as total carbon emissions, carbon emission rate, carbon emissions of purchased power, and carbon emissions per unit of power generation, and calculates and counts the carbon emissions in time series such as minutes, hours, days, months, and quarters, and stores the final calculation and statistical results in the database, which are displayed online by the host computer; the greenhouse gas acquisition module is used to monitor the concentration of greenhouse gases other than CO2 in the flue gas emitted by the chimney of the paper mill in real time online through at least one of the following methods: non-dispersive infrared analysis method NDIR, tunable diode laser absorption spectroscopy method TDLAS, infrared spectroscopy, gas sensitive electrode method, gas chromatography, gas filter monitoring method, and wavelength scanning-optical cavity ring-down method WS-CRDS.

[0008] In a preferred embodiment, the concentration detection module uses a MODEL1080 flue gas analyzer to measure CO 2 Concentration-based, simultaneous measurement of CO and O 2 Concentration. CO 2 The CO concentration measurement uses the mature NDIR analysis method to continuously measure the CO in the flue gas. 2 and CO concentration. 2 The concentration measurement is based on the electrochemical principle to continuously obtain the O 2 concentration.

[0009] In a preferred embodiment, the terminal network node module is composed of a sensor module, a processor module, a wireless communication module and an energy supply module; the terminal network node module organizes various sensors inside the concentration detection module into a sensor group, and a terminal sensor network node is responsible for information collection of a sensor group, and each paper mill carbon emission detection point is provided with a distributed sensor group at irregular locations.

[0010] In a preferred embodiment, the node processing module includes an intelligent gateway and a convergence node; the convergence node is fixed, and the data perceived in a farther monitoring area needs to be transmitted to the convergence node through multi-hop routing, which may easily cause energy hole problems around the convergence node; the node processing module introduces the mobile convergence node into the monitoring network, and the convergence node is composed of an embedded control system, a wireless radio frequency module (CC2430 module), a GPRS communication module, and a wind-solar complementary power supply system.

[0011] In a preferred embodiment, the data management module divides the data storage layer into primary and secondary data management layers; the secondary data management layer stores data on a user basis and provides personalized data storage services based on the user. The data of each paper mill comes from the corresponding user and provides corresponding information services; the data of all users are integrated, reorganized, cleaned and converted to form a data center, which covers public historical data, integrated and shared data; such a design is independent of each other in physical structure, ensures the personalization and security of data, maintains unity in logical structure, and controls the overall situation.

[0012] In a preferred embodiment, the data analysis module selects a coal emission factor of 95.7 g / MJ based on the emission factor method, in combination with production data such as coal type, coal quantity, and lower calorific value provided by the paper mill.

[0013] In a preferred embodiment, the cloud database module is used to store, compare, analyze and deduce the received data; the operator accesses the cloud database module through the human-computer interaction module; the specific contents of the cloud database module are as follows: all paper mill carbon emission measurement results are stored in the cloud database; after the cloud database module uses the distribution acquisition module and the concentration detection module to complete the acquisition of multiple detection index results of the paper mill's carbon emissions, the detection results can be sent to the cloud server through the network module on the detector; the cloud server is the carrier of the cloud database module, and a special database system is deployed in the cloud server to store the index detection results of the paper mill's carbon emissions.

[0014] In a preferred embodiment, the method comprises the following steps: S1: The power supply module provides the entire system with operating power; S2: The distributed data collection module starts to work after receiving the power-on command and collects data from the chimney of the paper mill. S3: The concentration detection module performs concentration detection on the collected data; S4: The concentration detection module inputs the detection result to the input end of the distribution acquisition module, and then the distribution acquisition module sends the data to the inside of the data analysis module. The data analysis module starts to analyze the data detected by the concentration detection module and outputs the analysis result after the analysis is completed; S5: The cloud database module stores the results output by the data analysis module inside the cloud database module and records and saves the data.

[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. In the present invention, the distributed collection module can remotely transmit the carbon emission data obtained through the internal terminal network node module, node processing module and data management module, so that the information transmission process of the system is more stable and fast during use. At the same time, the terminal network node module organizes various sensors inside the concentration detection module into a sensor group. A terminal sensor network node is responsible for the information collection of a sensor group, and each carbon emission detection point of a paper mill is randomly set with a distributed sensor group, which improves the transmission efficiency.

[0016] 2. In the present invention, the cloud database module stores the collected data in the cloud, so that the data will not be easily lost during the use of the system, and the relevant staff can view the data by logging into the cloud, which is convenient for people to use and improves the timeliness and convenience of viewing data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a system block diagram of the present invention; Figure 2 This is a block diagram of the distributed acquisition module system in the present invention; Figure 3 This is a system block diagram of the distributed acquisition module in the present invention.

[0018] Markings in the figure: 1-power supply module, 2-distribution acquisition module, 3-concentration detection module, 4-distribution acquisition module, 5-data analysis module, 6-cloud database module, 7-flue gas acquisition module, 8-greenhouse gas acquisition module, 9-terminal network node module, 10-node processing module, 11-data management module. Implementation

[0019] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] Reference Figure 1-3 , Example

[0021] A paper mill carbon emission remote detection system comprises a power supply module 1, a distribution acquisition module 2, a concentration detection module 3, a distribution acquisition module 4, a data analysis module 5, a cloud database module 6, a flue gas acquisition module 7, a greenhouse gas acquisition module 8, a terminal network node module 9, a node processing module 10 and a data management module 11, wherein the output end of the power supply module 1 is connected to the input end of the distribution acquisition module 2, the output end of the distribution acquisition module 2 is connected to the input end of the concentration detection module 3, the output end of the concentration detection module 3 is connected to the input end of the distribution acquisition module 4, the output end of the distribution acquisition module 4 is connected to the input end of the data analysis module 5, and the output end of the data analysis module 5 is connected to the input end of the cloud database module 6; The distributed acquisition module 4 is internally provided with a terminal network node module 9 , a node processing module 10 and a data management module 11 , and the overall output end of the terminal network node module 9 , the node processing module 10 and the data management module 11 is connected to the input end of the cloud database module 6 .

[0022] The flue gas collection module 7 measures the CO2 concentration distribution and differential pressure distribution of the flue cross section based on the grid measurement principle. The flue gas collection module 7 uses environmental protection CEMS monitoring data for the flue gas flow rate. In addition, the flue gas collection module 7 is equipped with 3 sampling probes (1, 2, 3m) with different lengths to obtain flue gas at different spatial positions, and characterize the true value of the CO2 concentration in the flue cross section through sufficient mixing.

[0023] Greenhouse gas collection module 8 is used to monitor the CO2 concentration in the flue gas emitted by the chimney of the paper mill in real time and convert it into CO 2 The real-time emission is then transmitted to the information transmission port inside the distribution acquisition module 4. The greenhouse gas acquisition module 8 completes flue gas sampling, concentration measurement and system backwashing, and realizes flue gas CO 2 / O 2 The data collection includes concentration, temperature, humidity, pressure, flue gas flow, unit power generation, purchased power and other data. The data processing and statistics module calculates and processes the collected data to obtain the main parameters such as total carbon emissions, carbon emission rate, carbon emissions of purchased power, and carbon emissions per unit of power generation, and calculates and counts the carbon emissions in time series such as minutes, hours, days, months, and quarters, and stores the final calculation and statistical results in the database, which are displayed online by the host computer; the greenhouse gas collection module 8 is used to monitor the concentration of greenhouse gases other than CO2 in the flue gas emitted by the chimney of the paper mill in real time online through at least one of the following methods: non-dispersive infrared analysis method NDIR, tunable diode laser absorption spectroscopy method TDLAS, infrared spectroscopy, gas sensitive electrode method, gas chromatography, gas filter monitoring method, wavelength scanning-optical cavity ring-down method WS-CRDS.

[0024] Concentration detection module 3 uses MODEL1080 flue gas analyzer to measure CO 2 Concentration-based, simultaneous measurement of CO and O 2 Concentration. CO 2 The CO concentration measurement uses the mature NDIR analysis method to continuously measure the CO in the flue gas. 2 and CO concentration. 2 The concentration measurement is based on the electrochemical principle to continuously obtain the O 2 Concentration. Main performance indicators of flue gas analyzer: concentration measurement linear error ≤ ±1%FS (FS: full scale); according to the relevant content of the "Reporting Guidelines", the concentration detection module 3 only takes the CO2 emission monitoring concentration to participate in the actual carbon emission calculation.

[0025] The terminal network node module 9 is composed of a sensor module, a processor module, a wireless communication module and an energy supply module; the terminal network node module 9 organizes various sensors inside the concentration detection module 3 into a sensor group, and a terminal sensor network node is responsible for the information collection of a sensor group, and each paper mill carbon emission detection point is provided with a distributed sensor group at irregular locations.

[0026] The node processing module 10 includes an intelligent gateway and a sink node; the sink node is fixed, and the data sensed in a farther monitoring area needs to be transmitted to the sink node through multi-hop routing, which can easily cause energy holes around the sink node; the node processing module 10 introduces mobile sink nodes into the monitoring network, and collects sensed data through mobile sink nodes, thereby solving the problem of uneven residual energy of each node in the sensor network; the sink node is composed of an embedded control system, a wireless radio frequency module (CC2430 module), a GPRS communication module, and a wind-solar complementary power supply system.

[0027] The data management module 11 divides the data storage layer into primary and secondary data management layers; the secondary data management layer stores data on a user-by-user basis and provides personalized data storage services based on the user. The data of each individual comes from the corresponding user and provides corresponding information services. The data of all users are integrated, reorganized, cleaned and converted to form a data center, which covers public historical data, integrated and shared data. Such a design is independent of each other in physical structure, ensuring the personalization and security of data, maintaining unity in logical structure, and controlling the overall situation.

[0028] Data analysis module 5 combines the production data such as coal type, coal quantity, and lower calorific value provided by the paper mill, and selects the coal emission factor as 95.7 g / MJ based on the emission factor method.

[0029] The cloud database module 6 is used to store, compare, analyze and deduce the received data; the operator accesses the cloud database module through the human-computer interaction module; the specific content of the cloud database module 6 is as follows: all paper mill carbon emission measurement results are stored in the cloud database; after the cloud database module 6 uses the distribution acquisition module 2 and the concentration detection module 3 to complete the acquisition of multiple detection index results of the paper mill's carbon emissions, the detection results can be sent to the cloud server through the network module on the detector; the cloud server is the carrier of the cloud database module, and a special database system is deployed in the cloud server to store the index detection results of the paper mill's carbon emissions.

[0030] The method of using the paper mill carbon emission remote detection system includes the following steps: S1: Power supply module 1 provides power for the entire system to operate; S2: After receiving the start-up command, the distributed acquisition module 2 starts to work and collects data from the chimney of the paper mill. S3: The concentration detection module 3 performs concentration detection on the collected data; S4: The concentration detection module 3 inputs the detection result to the input end of the distribution acquisition module 4, and then the distribution acquisition module 4 sends the data to the inside of the data analysis module 5. The data analysis module 5 starts to analyze the data detected by the concentration detection module 3, and outputs the analysis result after the analysis is completed; S5: The cloud database module 6 stores the results output by the data analysis module 5 inside the cloud database module 6 and records and saves the data.

[0031] In the present invention, the distributed collection module 4 can remotely transmit the carbon emission data collected and analyzed through the internal terminal network node module 9, the node processing module 10 and the data management module 11, so that the information transmission process of the system is more stable and fast during use. At the same time, the terminal network node module 9 organizes the various sensors inside the concentration detection module 3 into a sensor group. A terminal sensor network node is responsible for the information collection of a sensor group, and each paper mill carbon emission detection point is randomly set with a distributed sensor group, which improves the transmission efficiency.

[0032] In the present invention, the cloud database module 6 stores the collected data in the cloud, so that the data will not be easily lost during the use of the system, and the relevant staff can view the data by logging into the cloud, which is convenient for people to use and improves the timeliness and convenience of viewing data.

[0033] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0034] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A paper mill carbon emission remote detection system, comprising a power supply module (1), a distribution acquisition module (2), a concentration detection module (3), a distribution acquisition module (4), a data analysis module (5), a cloud database module (6), a flue gas acquisition module (7), a greenhouse gas acquisition module (8), a terminal network node module (9), a node processing module (10) and a data management module (11), characterized in that: The output end of the power supply module (1) is connected to the input end of the distribution acquisition module (2), the output end of the distribution acquisition module (2) is connected to the input end of the concentration detection module (3), the output end of the concentration detection module (3) is connected to the input end of the distribution acquisition module (4), the output end of the distribution acquisition module (4) is connected to the input end of the data analysis module (5), and the output end of the data analysis module (5) is connected to the input end of the cloud database module (6); The distributed acquisition module (4) is internally provided with a terminal network node module (9), a node processing module (10) and a data management module (11); the overall output end of the terminal network node module (9), the node processing module (10) and the data management module (11) is connected to the input end of the cloud database module (6).

2. A paper mill carbon emission remote detection system as claimed in claim 1, characterized in that: The flue gas collection module (7) measures the CO2 concentration distribution and differential pressure distribution of the flue cross section based on the grid method measurement principle. The flue gas collection module (7) uses environmental CEMS monitoring data for the flue gas flow rate. In addition, the flue gas collection module (7) is provided with three sampling probes extending into different lengths to obtain flue gas at different spatial positions, and to characterize the true value of the CO2 concentration of the flue cross section through sufficient mixing.

3. A paper mill carbon emission remote detection system as claimed in claim 1, characterized in that: The greenhouse gas collection module (8) monitors the CO2 concentration in the flue gas emitted from the chimney of the paper mill in real time and converts it into the real-time CO2 emission, which is then transmitted to the information transmission port inside the distribution collection module (4). The greenhouse gas collection module (8) completes flue gas sampling, concentration measurement and system backwashing, and realizes the collection of data such as flue gas CO2 / O2 concentration, temperature, humidity, pressure, flue gas flow, unit power generation, and purchased electricity.

4. A paper mill carbon emission remote detection system as claimed in claim 1, characterized in that: The concentration detection module (3) uses a MODEL1080 flue gas analyzer to measure CO2 concentration as the main method and simultaneously measure CO and O2 concentrations. The CO2 and CO concentrations are measured by using an applied NDIR analysis method to continuously measure the CO2 and CO concentrations in the flue gas. The O2 concentration is measured based on the electrochemical principle to continuously obtain the O2 concentration in the flue gas.

5. A paper mill carbon emission remote detection system as claimed in claim 1, characterized in that: The terminal network node module (9) is composed of a sensor module, a processor module, a wireless communication module and an energy supply module; the terminal network node module (9) combines various sensors inside the concentration detection module (3) into a sensor group, and a terminal sensor network node is responsible for information collection of a sensor group, and each carbon emission detection point of a paper mill is provided with a distributed sensor group at irregular points.

6. A paper mill carbon emission remote detection system as claimed in claim 1, characterized in that: The node processing module (10) comprises an intelligent gateway and a convergence node; the convergence node is fixed, and data sensed in a remote monitoring area needs to be transmitted to the convergence node via multi-hop routing, which easily causes energy hole problems around the convergence node; the node processing module (10) introduces a mobile convergence node into the monitoring network, and the convergence node is composed of an embedded control system, a wireless radio frequency module (CC2430 module), a GPRS communication module, and a wind-solar complementary power supply system.

7. A paper mill carbon emission remote detection system as claimed in claim 1, characterized in that: The data management module (11) divides the data storage layer into a primary data storage layer and a secondary data storage layer; the secondary data storage layer stores data on a user-by-user basis and provides personalized data storage services based on the user. The data of each paper mill originates from the corresponding user and provides corresponding information services. The data of all users are integrated, reorganized, cleaned and converted to form a data center, which covers public historical data, integrated and shared data. Such a design is independent of each other in physical structure, ensuring the personalization and security of data, and maintaining unity in logical structure to control the overall situation.

8. A paper mill carbon emission remote detection system as claimed in claim 1, characterized in that: The data analysis module (5) combines the production data such as coal type, coal quantity, and lower calorific value provided by the paper mill to select a coal combustion emission factor of 95.7 g / MJ based on the emission factor method.

9. A paper mill carbon emission remote detection system as claimed in claim 1, characterized in that: The cloud database module (6) is used to store, compare, analyze and deduce the received data; the operator accesses the cloud database module through the human-computer interaction module; the specific content of the cloud database module (6) is as follows: all paper mill carbon emission measurement results are stored in the cloud database; after the cloud database module (6) completes the acquisition of multiple detection index results of the paper mill carbon emission by using the distribution acquisition module (2) and the concentration detection module (3), the detection results can be sent to the cloud server through the network module on the detector; the cloud server is the carrier of the cloud database module, and a special database system is deployed in the cloud server to store the index detection results of the paper mill carbon emission.

10. A method for using a remote carbon emission detection system for a paper mill as claimed in claim 1, characterized in that: The method comprises the following steps: S1: The power supply module (1) provides the entire system with power for operation; S2: After receiving the start-up command, the distributed data collection module (2) starts to work and collects data from the chimney of the paper mill; S3: The concentration detection module (3) performs concentration detection on the collected data; S4: the concentration detection module (3) inputs the detection result to the input end of the distribution acquisition module (4), and then the distribution acquisition module (4) sends the data to the inside of the data analysis module (5). The data analysis module (5) starts to analyze the data detected by the concentration detection module (3) and outputs the analysis result after the analysis is completed; S5: The cloud database module (6) stores the results output by the data analysis module (5) inside the cloud database module (6) and records and saves the data.

Images