Ship tail gas detection early warning system

Abstract

According to the ship tail gas detection and early warning system, sulfur dioxide gas in tail gas discharged by a ship in a detection channel area is collected and detected based on advanced technologies such as an advanced chemical reaction principle, spectrophotometric analysis and semiconductor sensing, detection data is scientific and accurate, a detection result is safe and reliable, and the system is suitable for popularization and application. Meanwhile, a detection result is uploaded to a data center in real time, intelligent analysis and calibration are carried out through an early warning algorithm, an early warning calculation result is output, and automatic screening and alarming are carried out on suspicious ships in combination with a video recognition camera. According to the method, industrial specifications and standards are followed, key polluted ships are comprehensively and systematically analyzed and excavated, a ship information database is established, and effective data support and guarantee are provided for environmental protection.

Description

Technical Field

[0001] The invention relates to a system for detecting ship exhaust and giving an alarm according to an early warning algorithm and its implementation, belonging to the technical field of information technology for air pollution prevention and control and management. Background Art

[0002] Ships are an important means of transportation for water transportation, and have many advantages over road transportation, such as low cost and strong transportation capacity. However, due to the different fuel quality and high sulfur content in the fuel during ship operation, a large amount of exhaust gas will be discharged. The main pollutants in the exhaust gas are sulfur oxides, nitrogen oxides, particulate matter, etc. These are the root causes of air pollution and the culprits that threaten human health. The Ministry of Transport has promulgated the "Implementation Plan for Ship Air Pollutant Emission Control Areas". From January 1, 2022, ships will use cleaner marine fuels with a sulfur content not exceeding 0.1% m / m (1000ppm), and more stringent control measures will be formulated for ships that violate regulations.

[0003] In order to prevent and control pollution from ships, it is necessary to establish a long-term supervision mechanism for ship exhaust pollution, help administrative law enforcement units quickly analyze exhaust emission results, accurately locate suspected ships, and fundamentally establish an integrated ship exhaust pollution emission control, detection and supervision system. Summary of the invention

[0004] In order to achieve the above technical problems, the present invention provides a ship exhaust detection and concentration data over-standard early warning system, which is based on advanced chemical reaction principles, spectrophotometric analysis, semiconductor sensing and other advanced technologies to collect and detect sulfur dioxide gas in the exhaust gas emitted by ships in the detection channel area. The detection data is scientific and accurate, and the detection results are safe and reliable. At the same time, the detection results are uploaded to the data center in real time, and intelligent analysis and calibration are performed through the early warning algorithm, and the early warning calculation results are output. Combined with the video recognition camera, automatic screening and alarm are realized for suspicious ships. The present invention follows industry norms and standards, and establishes a ship information database through comprehensive and systematic analysis and mining of key polluting ships, providing effective data support and guarantee for environmental protection.

[0005] The present invention adopts the following technical solution:

[0006] Ship exhaust detection and early warning system, the system includes a network center, an IoT equipment management center, a data center, a ship exhaust unified detection and management platform, and a command and control center; wherein,

[0007] The network center is divided into two parts: the Internet and the maritime intranet. The Internet is connected to the maritime intranet through a firewall, mainly providing functions such as system upgrades, algorithm data updates, and ship information inquiries, with internal and external networks isolated. The firewall is set to prevent intranet data information from penetrating to the Internet, ensuring the data security of the maritime intranet. The maritime intranet builds a wireless hotspot to form a wireless local area network for the maritime intranet;

[0008] The IoT equipment management center mainly includes a ship exhaust gas detector, a dynamic lifting pulley block, a ship number recognition camera, etc. The ship exhaust gas detector is connected to the maritime intranet through a wireless local area network. The dynamic lifting pulley block is equipped with a ship exhaust gas detector, which collects exhaust gas from ships with upper opening exhaust channels and ships with lower opening exhaust channels through lifting. The ship number recognition camera is connected to the maritime intranet through a wireless local area network.

[0009] Furthermore, the ship exhaust gas detector has a built-in micro sampling pump to collect gas by pump suction, built-in GPRS and wireless transmission modes, and real-time remote data transmission. The detection data in the present invention is uploaded to the data center through a wireless local area network, and the gas concentration units are ppm and mg / m 3 There are two options to choose from, with a range of 0 to 1157ppm and a resolution of 0.1ppm;

[0010] Furthermore, the ship number recognition camera automatically recognizes the IMO identification code (International Maritime Organization) of the ship, which is generally above the deepest rated load line on the port and starboard sides of the stern or the middle of the hull, or a visible position on the port or starboard side of the superstructure or the front of the superstructure. After obtaining the IMO identification code of the ship, the detailed registration information of the ship is queried through the ship information query interface, and the information is summarized and uploaded to the data center;

[0011] The data center is installed and deployed in the shore-based control center and connected to the maritime intranet. The data center is mainly divided into two categories from the business dimension. One is the basic information of the ship, which mainly includes the ship's IMO, ship owner information, basic ship information, navigation information, etc. The other is the ship's exhaust gas detection data, which mainly includes the ship's IMO, detection time, detailed detection data, etc. The data center is mainly divided into two categories from the data frequency dimension. One is real-time data, which is mainly used for warning of excessive ship exhaust gas. The other is historical data, which is mainly used for data analysis and mining, administrative decision-making, etc.

[0012] Furthermore, the data center provides data storage components, supports the storage of relational databases and non-relational databases, supports the rapid storage of real-time data and concurrent query of historical massive data;

[0013] Furthermore, the data center uniformly extracts and cleans source data such as ship exhaust data, ship information data, early warning algorithms, and system management through data exchange and sharing components provided by the data center, realizes data standardization by means of data element definition, data value escape, data rule conversion, and data security encryption, and shares the processed data in the form of interfaces, libraries, tables, or files;

[0014] The unified ship exhaust gas detection and management platform is installed and deployed on the control PC of the shore-based control center and connected to the maritime intranet;

[0015] Furthermore, the unified ship exhaust gas detection management platform includes ship management, ship information access management, detection data access management, electronic chart access management, early warning algorithm management, etc.

[0016] Furthermore, the ship management mainly implements the management of suspected ships, the management of ships with illegal discharge, and the ship list and detailed information;

[0017] Furthermore, the ship information access management mainly calls the ship information query interface, and locally stores the queried ship registration information, ship basic information, ship navigation information, etc. through the ship's IMO identification number, so as to facilitate subsequent query and use;

[0018] Furthermore, the detection data access management mainly involves connecting to ship exhaust gas detector equipment, formulating access data formats and specifications according to equipment and data access rules, storing real-time detection data collected and analyzed by front-end equipment, and forming a real-time database;

[0019] Furthermore, the electronic chart access management realizes the visualization of the chart, and can display the information and trajectory of the ships currently entering and exiting the detection channel. By querying the historical information of the over-standard ship, the monitoring records of all monitoring points of the ship in this detection channel can be viewed, and the results can be retrospectively verified by combining the evidence chain such as exhaust gas detection values, audio and video images, IMO ship information data, exhaust gas emission index data, etc.

[0020] Furthermore, the early warning algorithm management, the unified ship exhaust detection management platform calculates the probability of suspected ships' exhaust exceeding the standard according to the input of real-time detected ship exhaust, and colors the suspected ships according to the probability value, and summarizes the ship's information data and detection data and displays them on the command screen of the command and control center;

[0021] The command and control center is composed of a control PC and a command screen. The control PC is connected to the maritime intranet. The command screen is connected to the control PC via a high-definition interface (HDMI) to achieve control and display of the command screen by the control PC.

[0022] Furthermore, the command and control center mainly displays ship information and real-time ship detection data information based on the ship exhaust gas exceeding the standard warning algorithm, and generates a list of illegal ships for the illegal ship information. The command screen scrolls the information of ships with excessive exhaust gas on that day. Clicking on a certain illegal ship can also display the detailed registration information and actual emission data of the ship. It supports voice broadcast and information push of alarm information. The illegal ship information will be pushed to the maritime administrative law enforcement system as a basis for decision-making on administrative penalties.

[0023] The present application also provides a method for calibrating ship exhaust standards, the method comprising the following steps:

[0024] S1, after the ship enters the detection channel, the height of the pump-suction exhaust gas detector is adjusted by a dynamic lifting pulley block according to the type of the ship's exhaust channel;

[0025] S2, the pump-suction exhaust gas detector contains several sets of detection equipment, each set of detection equipment contains a porous glass plate absorption tube, a reaction solution volumetric flask, and a colorimetric solution volumetric flask. Each set of detection equipment collects, reacts, and compares colors separately;

[0026] S3, a collection pump is introduced into the porous glass plate absorption tube to collect gas at a set flow rate, so that the tail gas is fully dissolved in the absorption liquid;

[0027] S4, after the porous glass plate absorption tube in the sampling container has fully absorbed the set time, it is poured into the corresponding connected reaction container to remove the interference of nitrogen oxides and ozone and decompose sulfur dioxide;

[0028] S5, after the reaction volumetric flask has fully reacted for the set time, the mixture is poured into the corresponding connected colorimetric containers, and placed in a constant temperature water bath to form a purple-red compound, and the absorbance is measured by a spectrophotometer using distilled water as a parameter;

[0029] S6, according to Lambert-Beer law, the absorbance of the solution is A = lgI0 / I t , where I t / I0 is called the transmittance of the solution, represented by T, that is: A = lgI0 / I t =lg(1 / T);

[0030] S7, after calibration, a standard curve is formed with the absorbance of each colorimetric tube as the ordinate and the mass of sulfur dioxide as the abscissa, and the mass of sulfur dioxide is obtained by checking the standard curve;

[0031] S8, finding the linear regression equation based on the series value of the detection data;

[0032] S9, calculating the maximum value of absorbance according to the linear regression equation, and considering the ship exhaust gas at the maximum value of absorbance as the maximum value of the ship exhaust gas.

[0033] Based on the technical solution of the above invention, the present invention has the following technical advantages compared with the existing technical solution:

[0034] 1. The exhaust gas detector in the present invention adopts a built-in calibration and visible light wavelength locking photometer, thermometer, and pressure gauge to ensure high measurement accuracy. Compared with traditional exhaust gas detection equipment, it can absorb more actual emission detection of smoke plumes, can cover at least 50 meters of detection channels, has a response time of 100 milliseconds, and an early warning time of 30 minutes.

[0035] 2. Administrative law enforcement in many places still adopts the traditional boarding inspection method, which is inefficient and cumbersome. The real-time online detection method in the present invention takes an average of only 5 minutes from the time the ship enters the detection channel to the time the ship leaves the detection channel. Then, the sulfur content of the ship's fuel can be quickly calculated through the detection data, so that further boarding inspection operations become more targeted. The entire detection process is unmanned, thereby reducing the workload of law enforcement personnel and improving the work efficiency of the law enforcement process.

[0036] 3. The ship exhaust gas exceeding the standard warning algorithm adopted in the present invention is based on the national standard of the Ministry of Ecology and Environment. It makes a detailed deduction of the calculation process of ship exhaust emission concentration, fully considers the influence of wind force, distance, height, etc. on exhaust gas diffusion, and sets the warning critical value scientifically and reasonably.

[0037] 4. The large amount of real-time detection data, ship information data, algorithm calculation data, early warning alarm data, etc. accumulated in the present invention will be used to establish a ship exhaust pollution emission data center, which can provide important data support for the development of maritime business, thereby providing a decision-making basis for the formulation of ship exhaust pollution emission standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 The overall architecture diagram for the ship exhaust gas detection and early warning system;

[0039] Figure 2 Workflow diagram for ship exhaust gas detection and early warning system;

[0040] Figure 3 Functional structure diagram for ship exhaust gas detection and early warning system;

[0041] Figure 4 This is the standard curve of sulfur dioxide content and absorbance. DETAILED DESCRIPTION

[0042] Combine the following Figure 1 The overall architecture diagram of the ship exhaust detection and early warning system. Figure 2 The work flow chart of the ship exhaust detection and early warning system Figure 3 The functional structure diagram of the ship exhaust gas detection and early warning system is further described in detail on the implementation methods and implementation steps of the present invention.

[0043] Example 1

[0044] The present invention provides a ship exhaust detection and early warning system, a ship exhaust detection and early warning system, the system includes a network center, an Internet of Things equipment management center, a data center, a ship exhaust unified detection and management platform, and a command and control center; wherein,

[0045] The network center is divided into two parts: the Internet and the maritime intranet. The Internet is connected to the maritime intranet through a firewall, mainly providing functions such as system upgrades, algorithm data updates, and ship information inquiries, with internal and external networks isolated. The firewall is set to prevent intranet data information from penetrating to the Internet, ensuring the data security of the maritime intranet. The maritime intranet builds a wireless hotspot to form a wireless local area network for the maritime intranet;

[0046] The IoT equipment management center mainly includes a ship exhaust gas detector, a dynamic lifting pulley block, a ship number recognition camera, etc. The ship exhaust gas detector is connected to the maritime intranet through a wireless local area network. The dynamic lifting pulley block is equipped with a ship exhaust gas detector, which collects exhaust gas from ships with upper opening exhaust channels and ships with lower opening exhaust channels through lifting. The ship number recognition camera is connected to the maritime intranet through a wireless local area network.

[0047] Furthermore, the ship exhaust gas detector has a built-in micro sampling pump to collect gas by pump suction, built-in GPRS and wireless transmission modes, and real-time remote data transmission. The detection data in the present invention is uploaded to the data center through a wireless local area network, and the gas concentration units are ppm and mg / m 3 There are two options to choose from, with a range of 0 to 1157ppm and a resolution of 0.1ppm;

[0048] Furthermore, the ship number recognition camera automatically recognizes the IMO identification code (International Maritime Organization) of the ship, which is generally above the deepest rated load line on the port and starboard sides of the stern or the middle of the hull, or a visible position on the port or starboard side of the superstructure or the front of the superstructure. After obtaining the IMO identification code of the ship, the detailed registration information of the ship is queried through the ship information query interface, and the information is summarized and uploaded to the data center;

[0049] The data center is installed and deployed in the shore-based control center and connected to the maritime intranet. The data center is mainly divided into two categories from the business dimension. One is the basic information of the ship, which mainly includes the ship's IMO, ship owner information, basic ship information, navigation information, etc. The other is the ship's exhaust gas detection data, which mainly includes the ship's IMO, detection time, detailed detection data, etc. The data center is mainly divided into two categories from the data frequency dimension. One is real-time data, which is mainly used for warning of excessive ship exhaust gas. The other is historical data, which is mainly used for data analysis and mining, administrative decision-making, etc.

[0050] Furthermore, the data center provides data storage components, supports the storage of relational databases and non-relational databases, supports the rapid storage of real-time data and concurrent query of historical massive data;

[0051] Furthermore, the data center uniformly extracts and cleans source data such as ship exhaust data, ship information data, early warning algorithms, and system management through data exchange and sharing components provided by the data center, realizes data standardization by means of data element definition, data value escape, data rule conversion, and data security encryption, and shares the processed data in the form of interfaces, libraries, tables, or files;

[0052] The unified ship exhaust gas detection and management platform is installed and deployed on the control PC of the shore-based control center and connected to the maritime intranet;

[0053] Furthermore, the unified ship exhaust gas detection management platform includes ship management, ship information access management, detection data access management, electronic chart access management, early warning algorithm management, etc.

[0054] Furthermore, the ship management mainly implements the management of suspected ships, the management of ships with illegal discharge, and the ship list and detailed information;

[0055] Furthermore, the ship information access management mainly calls the ship information query interface, and locally stores the queried ship registration information, ship basic information, ship navigation information, etc. through the ship's IMO identification number, so as to facilitate subsequent query and use;

[0056] Furthermore, the detection data access management mainly involves connecting to ship exhaust gas detector equipment, formulating access data formats and specifications according to equipment and data access rules, storing real-time detection data collected and analyzed by front-end equipment, and forming a real-time database;

[0057] Furthermore, the electronic chart access management realizes the visualization of the chart, and can display the information and trajectory of the ships currently entering and exiting the detection channel. By querying the historical information of the over-standard ship, the monitoring records of all monitoring points of the ship in this detection channel can be viewed, and the results can be retrospectively verified by combining the evidence chain such as exhaust gas detection values, audio and video images, IMO ship information data, exhaust gas emission index data, etc.

[0058] Furthermore, the early warning algorithm management, the unified ship exhaust detection management platform calculates the probability of suspected ships' exhaust exceeding the standard according to the input of real-time detected ship exhaust, and colors the suspected ships according to the probability value, and summarizes the ship's information data and detection data and displays them on the command screen of the command and control center;

[0059] The command and control center is composed of a control PC and a command screen. The control PC is connected to the maritime intranet. The command screen is connected to the control PC via a high-definition interface (HDMI) to achieve control and display of the command screen by the control PC.

[0060] Furthermore, the command and control center mainly displays ship information and real-time ship detection data information based on the ship exhaust gas exceeding the standard warning algorithm, and generates a list of illegal ships for the illegal ship information. The command screen scrolls the information of ships with excessive exhaust gas on that day. Clicking on a certain illegal ship can also display the detailed registration information and actual emission data of the ship. It supports voice broadcast and information push of alarm information. The illegal ship information will be pushed to the maritime administrative law enforcement system as a basis for decision-making on administrative penalties.

[0061] Based on the above system, the specific implementation process of the above system will be described in detail below:

[0062] 1. Process preparation:

[0063] ① Pump-suction exhaust gas detector set, with built-in sampling container, reaction container, colorimetric container, distilled water volumetric flask, spectrophotometer, etc.

[0064] 1. The sampling container contains 7 porous glass plate absorption tubes containing absorption liquid, each with a capacity of 50 ml. Each porous glass plate absorption tube is equipped with a heat preservation device to ensure that the temperature of the absorption liquid is constant at 25°C. The absorption liquid composition: 36%-38% formaldehyde, 5.5 ml, cyclohexanediaminetetraacetic acid disodium solution ρ = 0.05 mol / L, 20 ml, potassium hydrogen phthalate, 2.04 g, the three are combined, diluted with water to 100 ml, and 25 ml, 20 ml, 15 ml, 10 ml, 8 ml, 6 ml, and 25 ml are respectively taken and placed in the porous glass plate absorption tube of the absorption liquid; ρ = 1ug / ml sulfur dioxide standard solution, 0 ml, 5 ml, 10 ml, 15 ml, 17 ml, 19 ml, and 0 ml are respectively taken and placed in the porous glass plate absorption tube of the absorption liquid. Among them, the sulfur dioxide standard solution is not placed in the seventh porous glass plate absorption tube, and the collected ship exhaust sample will be placed.

[0065] 2. The reaction vessel contains 7 volumetric flasks with reaction solution, each with a capacity of 50 ml. Each volumetric flask is connected to a porous glass plate absorption tube. The reaction solution composition: aminosulfonic acid, 0.6 g, sodium hydroxide ρ = 1.5 mol / L, 4 ml, diluted with water to 100 ml, and 5 ml is taken and placed in the volumetric flask of the reaction solution, in order to remove nitrogen oxides and ensure the accuracy of the measurement data.

[0066] ㈢. The colorimetric container is equipped with 7 volumetric flasks containing colorimetric solutions, each with a capacity of 50 ml. Each volumetric flask is connected to the corresponding volumetric flask of the reaction container. Each colorimetric volumetric flask is equipped with a heat preservation device to ensure that the temperature of the colorimetric solution is constant at 20°C. The colorimetric solution composition: ρ = 0.2g / 100ml pararosaniline solution, 25ml, 85% concentrated phosphoric acid, 30ml, ρ = 1.2mol / L concentrated hydrochloric acid, 12ml, dilute with water to 100ml, take 5ml, 5ml, 5ml, 5ml, 5ml, 5ml, 5ml, respectively, and place them in the volumetric flask of the colorimetric solution.

[0067] The reaction principle and material ratio of the above (i) to (iii) are based on:

[0068] Ⅰ. Sulfur dioxide is absorbed by formaldehyde solution to generate hydroxymethylsulfonic acid. The chemical reaction formula is as follows:

[0069] SO2+H2O+HCHO=OHCH2SO3H,

[0070] Molecular weight ratio: 3SO2:3H2O:3HCHO=64*3:18*3:30*3=192:54:90

[0071] Ⅱ. Pararosaniline (red) + hydrochloric acid = Pararosaniline hydrochloride (colorless)

[0072] Molecular weight ratio: C19H18ClN3:3HCL=323.5:109.5

[0073] III. Pararosaniline hydrochloride (colorless) + hydroxymethylsulfonic acid = polyrosaniline methanesulfonic acid (purple) + hydrochloric acid + water The mass ratio of the substances required in the chemical reaction is the ratio of their amount of substance, that is, the ratio of molecular weight.

[0074] Combining the above three chemical reaction processes, after balancing, it can be concluded that the molecular weight ratio of their reaction formulas is: 3SO2:3H2O:3HCHO:C19H18ClN3:3HCL=64*3:18*3:30*3:323.5:109.5=192:54:90:323.5:109.5=1:0.28:0.47:1.68:0.57.

[0075] ⅰ. Calculation of sulfur dioxide content:

[0076] 1ug / ml sulfur dioxide standard solution, the sulfur dioxide content is 5ug~19ug;

[0077] The maximum concentration of sulfur dioxide gas to be detected is 3.3ug / ml (the data is calculated based on the maximum absorbance below), and the sulfur dioxide content is 3.3ug / ml*25ml=82.5ug

[0078] ⅱ. Calculation of formaldehyde content:

[0079] 37% formaldehyde solution, the density of formaldehyde is 1.067mg / ml

[0080] 5.5ml*0.37*1.067mg / ml / 100ml*25ml*1000ug / mg=542.8ug

[0081] ⅲ. Calculation of pararosaniline content:

[0082] 0.2g / 100ml pararosaniline solution

[0083] 25ml*0.2g / 100ml / 100ml*5ml*1000mg / g*1000ug / mg=2500ug

[0084] ⅳ. Calculation of hydrochloric acid content:

[0085] 1.2mol / L concentrated hydrochloric acid solution,

[0086] 12 / 1000L*1.2mol / L*36.5g / mol / 100ml*5ml*1000mg / g*1000ug / mg=26280ug

[0087]

[0088]

[0089] From the above, it can be concluded that the actual mass of the substances in each chemical reaction of the ratio is greater than the theoretical mass of the substances, which meets the reaction requirements.

[0090] ㈣. Distilled water volumetric flask, filled with 25ml of distilled water.

[0091] ㈤. Spectrophotometer, adjust the wavelength to 577nm.

[0092] ② Dynamic lifting pulley block, installed on both sides of the detection channel, equipped with a pump-suction exhaust gas detector, adjusts the lifting height to collect exhaust gases from ships with upper and lower exhaust channels respectively.

[0093] ③Ship number identification cameras are installed on both sides of the detection channel to capture and identify the IMO identification number of the ship entering the detection channel.

[0094] ④Data center: several database storage servers that store various basic data and business data, installed in the shore-based control center.

[0095] ⑤ Command screen, which is used to display ship data information, including basic information and detection data of the ship, and to provide early warning information for ships that exceed the standards. It is installed in the shore-based control center.

[0096] ⑥ Control PC, mainly installs and deploys the unified detection and management platform for ship exhaust gas, connects downward to the data center for data communication, and connects upward to the command screen for information transmission and communication, and is installed in the shore-based control center.

[0097] 2. Hardware Installation and Network Boot

[0098] The network in the present invention is divided into two parts: the Internet and the maritime intranet. The Internet is connected to the maritime intranet through a firewall, and the internal and external networks are isolated to prevent the leakage of intranet data. The maritime intranet builds a wireless hotspot to form a maritime intranet wireless local area network. The network is connected to ensure smooth communication between the internal and external networks, and hardware services such as ship number recognition cameras, data centers, command screens, and control PCs are started.

[0099] 3. Software system startup

[0100] The unified ship exhaust detection and management platform is developed based on the J2EE framework, with front-end and back-end separation, and is deployed in microservice Docker Web containers respectively. After initial startup, the components and basic data that the platform must rely on are loaded to ensure the normal status of each service. It can provide ship management, ship information access management, detection data access management, electronic chart access management, early warning algorithm management and other services, and related external services can be called.

[0101] 4. Receiving and processing ship exhaust gas detection data

[0102] The unified ship exhaust gas detection management platform obtains the detection data information of the pump-suction exhaust gas detector, stores it in the data center, and imports the detection data into the early warning algorithm for analysis and processing.

[0103] 5. Receiving and processing ship information data

[0104] The unified ship exhaust detection and management platform will identify the ship's IMO identification number sent by the camera based on the ship number, call the ship information query interface, and associate the queried ship information with the detection information, so as to facilitate the display of complete information on the command screen.

[0105] 6. Ship exhaust emission warning algorithm deduction

[0106] VII. Early Warning and Command and Control

[0107] When the concentration value calculated by the early warning algorithm exceeds the index value (1000ppm), the ship exhaust unified detection management platform will transmit the concentration data to the data center and color-mark the suspected ship. At the same time, the ship's information data and detection data will be summarized and displayed on the command screen of the command and control center. A list of illegal ships is generated based on the illegal ship information, and the command screen will scroll and play the information of ships with excessive exhaust gas on that day. Clicking on an illegal ship can also display the detailed registration information and actual emission data of the ship. The ship exhaust unified detection management platform will voice broadcast the detailed information and detection data information of the illegal ship. The illegal ship information will be pushed to the maritime administrative law enforcement system as a basis for decision-making on administrative penalties.

[0108] 8. End of the process

[0109] When the ship enters the detection channel, each detection needs to repeat the above process steps ①-⑦. At this point, a complete closed-loop process of ship exhaust detection is completed.

[0110] Embodiment 2:

[0111] The present application also provides a ship exhaust standard calibration method, which is used to calibrate the maximum value of the exhaust exceeding the standard, that is, to provide an early warning for ship exhaust emissions. The deduction process is:

[0112] (1) After the ship enters the detection channel, the height of the pump-suction exhaust gas detector will be adjusted using a dynamic lifting pulley block according to the type of the ship's exhaust channel;

[0113] (2) The pump-suction exhaust gas detector contains 7 sets of detection equipment, each of which contains 1 porous glass plate absorption tube, 1 reaction solution volumetric flask, and 1 colorimetric solution volumetric flask. Each set of detection equipment collects, reacts, and compares colors separately;

[0114] (3) The seventh porous glass plate absorption tube in the sampling container of the pump-suction exhaust gas detector is used to collect gas for 15 seconds at a flow rate of 0.1L per minute through a collection pump. The gas collection capacity is 25ml, and the exhaust gas is allowed to fully dissolve in the absorption liquid for 5 minutes.

[0115] (4) After fully absorbing for 5 minutes, the seven absorption tubes in the sampling container are poured into the corresponding seven connected reaction containers and then fully reacted for another 5 minutes to remove the interference of nitrogen oxides and ozone and decompose sulfur dioxide;

[0116] (5) After the 7 reaction flasks in the reaction container reacted fully for 5 minutes, they were poured into the corresponding 7 colorimetric containers and placed in a constant temperature water bath. After 10 minutes of full reaction, a purple-red compound was formed. The spectrophotometer was used to measure the absorbance at a wavelength of 577 nm with distilled water as the parameter. The incident light I0 = the absorbed light I a +Reflected Light I r + Scattered Light I d +Transmitted Light I t ;

[0117] (6) The spectrophotometer was set at a wavelength of 577 nm, using a 1 cm cuvette and distilled water as the reference solution. The zero absorption point of the instrument was adjusted to calibrate the reflection (I r )、Dispersion(I d ) and other factors, the incident light I0 = absorbed light I a +Transmitted Light I t ;

[0118] (7) According to the Lambert-Beer law, the absorbance of the solution is A = lgI0 / I t , where I t / I0 is called the transmittance of the solution, represented by T, that is: A = lgI0 / I t =lg(1 / T), the larger the value of A, the stronger the solution absorbs light. In the closed interval of T∈[10%,81%], the absorption of light is sensitive and effective. So, when T=81%, A=lg(1 / 0.81)=0.091, when T=10%, A=lg(1 / 0.1)=1, so the sensitive and effective range of absorbance is: 0.091~1;

[0119] (8) After calibration, a standard curve is formed with the absorbance of each colorimetric tube as the ordinate and the mass of sulfur dioxide as the abscissa, and the mass of sulfur dioxide is obtained by checking the standard curve;

[0120] The basic information of color display is shown in the following table:

[0121] Color rendering temperature 25℃ Color development time 20min Stabilization time 20min Blank absorbance A0 0.028 Atmospheric pressure 756 mmHg

[0122] The data for making the standard solution are shown in the following table:

[0123]

[0124] The sulfur dioxide and absorbance data under standard solution are shown in the following table:

[0125]

[0126]

[0127] The standard curve of sulfur dioxide and absorbance under standard solution is shown in Figure 4.

[0128] (9) Derivation process of linear regression equation f(x) = ax + b:

[0129] 9.1. Calculate the average values ​​of two variables from the series of test data

[0130] x average = (Σxi) / n = (0+5+10+15+17+19) / 6 = 11

[0131] y average = (Σyi) / n = (0+0.065+0.131+0.190+0.211+0.253) / 6 = 0.1417

[0132] 9.2. Calculate the series difference (i.e. △) of the test data

[0133] △xi=xi-x average

[0134] △x1=0-11=-11

[0135] △x2=5-11=-6

[0136] △x3=10-11=-1

[0137] △x4=15-11=4

[0138] △x5=17-11=6

[0139] △x6=19-11=8

[0140] △yi=yi-yaverage

[0141] △y1=0-0.1417=-0.1417

[0142] △y2=0.065-0.1417=-0.0767

[0143] △y3=0.131-0.1417=-0.0107

[0144] △y4=0.190-0.1417=0.0483

[0145] △y5=0.211-0.1417=0.0693

[0146] △y6=0.253-0.1417=0.1113

[0147] 9.3. Find two sums [A (x minus the average of x) multiplied by (y minus the average of y), add all the values ​​together; B (x minus the average of x) squared, sum]

[0148] A=Σ△xi△yi=△x1*△y1+…+△xn*△yn=3.529

[0149] B=Σ2(△xi)=(△x1)2+…+(△xn)2=274

[0150] 9.4. Calculate from the formula a=Σ△xi△yi / Σ△2xi

[0151] Calculate the value of a, which is equal to the value calculated in step A divided by the value calculated in step B

[0152] a=0.012879562

[0153] 9.5. Calculate b by the formula: b = y average - a * x average

[0154] Calculate the value of b, which is equal to the average of y minus the average of a times x

[0155] b = -0.000008516

[0156] From the above steps, we can deduce:

[0157] f(x)=0.012879562x-0.000008516

[0158] An indicator to measure the degree of fit of the linear regression model. The closer its value is to 1, the higher the goodness of fit of the model. 2 express,

[0159] R = ∑△xi△yi / square root [∑2(△xi)×∑2(△yi)]

[0160] ∑△xi△yi=3.529

[0161] ∑2(△xi)=274

[0162] ∑2(△yi)=0.0456

[0163] R=0.998382892

[0164] R 2 =0.996768398

[0165] (10) The measurement data of the seventh colorimetric tube in the colorimetric container are as follows:

[0166] The reaction is the sulfur dioxide and absorbance data of the sample.

[0167]

[0168] From the linear regression equation, we know that f(x)=0.012879562x-0.000008516,

[0169] x=[0.734-(-0.000008516)] / 0.012879562=56.99017684ug

[0170] Under the conditions of gas sampling temperature (t) of 25°C, atmospheric pressure (P) of 756 mmHg, and volume capacity (V) of 25 ml, the concentration under standard conditions (1 standard atmospheric pressure, i.e. 760 mmHg) is:

[0171] C=x÷[V*(273*P) / ((273+t)*760)]=56.99017684÷[25*(273*756) / ((273+25)*760)]

[0172] =2.501528229ug / ml

[0173] From the mass concentration conversion relationship, we can know that:

[0174] 1ppm=2.86mg / m 3 , 100ppm = 286mg / m 3 , 1000ppm=2860mg / m 3

[0175] 2.501528229ug / ml=2501.528229mg / m 3 =874.6602199ppm≈874.7ppm

[0176] When the transmittance T = 10%, A = lg (1 / 0.1) = 1, and the absorbance reaches the theoretical maximum value:

[0177]

[0178]

[0179] C max =(0.971-(-

[0180] 0.000008516)) / 0.012879562*(273+25)*760 / 273 / 756 / 25=3.309233014ug / ml, i.e. 3309.233014mg / m 3 , that is 3.309233014ug / ml, which is 1157.07448ppm.

[0181] Therefore, the tail gas measured in the present invention ranges from 0 ppm to 1157 ppm.

[0182] The Ministry of Transport issued the "Implementation Plan for Ship Air Pollutant Emission Control Areas" which states that "ships will use sulfur content not exceeding 0.1% m / m".

[0183] 0.1%m / m=0.1%=0.1 / 100=1 / 1000=1 / 1000*1000000÷1000000=1000*1 / 1000000=1000p pm

[0184] The concentration data of ship exhaust gas detection is uploaded to the data center via the wireless local area network.

[0185] At this point, the entire process of early warning algorithm deduction and calculation has been described.

[0186] The above is only a summary description of the basic working principle, workflow and preferred implementation method of the present invention, and does not impose any form of limitation on the present invention. Any technical personnel and business personnel familiar with the industry, without departing from the technical principle and implementation method of the present invention, may make simple structural changes, various changes and improvements to the present invention, as well as one or more of the advantages achieved in the present invention, which should be regarded as within the scope of protection of the present invention.

Claims

1. Ship exhaust detection and early warning system, characterized in that: The method comprises the following steps: S1, after the ship enters the detection channel, the height of the pump-suction exhaust gas detector is adjusted by a dynamic lifting pulley block according to the type of the ship's exhaust channel; S2, the pump-suction exhaust gas detector contains several sets of detection equipment, each set of detection equipment contains a porous glass plate absorption tube, a reaction solution volumetric flask, and a colorimetric solution volumetric flask. Each set of detection equipment collects, reacts, and compares colors separately; S3, a collection pump is introduced into the porous glass plate absorption tube to collect gas at a set flow rate, so that the tail gas is fully dissolved in the absorption liquid; S4, after the porous glass plate absorption tube in the sampling container has fully absorbed the set time, it is poured into the corresponding connected reaction container to remove the interference of nitrogen oxides and ozone and decompose sulfur dioxide; S5, after the reaction volumetric flask has fully reacted for the set time, the mixture is poured into the corresponding connected colorimetric containers, and placed in a constant temperature water bath to form a purple-red compound, and the absorbance is measured by a spectrophotometer using distilled water as a parameter; S6, according to the Lambert-Beer law, the absorbance of the solution is A=lgI0 / It, where It / I0 is called the transmittance of the solution, represented by T, that is: A=lgI0 / It= lg(1 / T); S7, after calibration, a standard curve is formed with the absorbance of each colorimetric tube as the ordinate and the mass of sulfur dioxide as the abscissa, and the mass of sulfur dioxide is obtained by checking the standard curve; S8, finding the linear regression equation based on the series value of the detection data; S9, calculating the maximum value of absorbance according to the linear regression equation, and considering the ship exhaust gas at the maximum value of absorbance as the maximum value of the ship exhaust gas.

2. Ship exhaust detection and early warning system, characterized in that: The system includes a network center, an IoT equipment management center, a data center, a unified ship exhaust gas detection management platform, and a command and control center; The ship exhaust gas detector has a built-in micro sampling pump, which collects ship exhaust gas by pump suction, and transmits data remotely in real time through GPRS or wireless transmission modes and uploads it to the data center; The data center, based on ship exhaust data, ship information data, early warning algorithm, and system management source data, realizes unified data extraction and cleaning, performs data element definition, data value escape, data rule conversion, and data security encryption to achieve data standardization, and shares the processed data in the form of interfaces, libraries, tables, or files; The unified ship exhaust detection and management platform includes ship management, ship information access management, detection data access management, electronic chart access management, and early warning algorithm management; the early warning algorithm management, the unified ship exhaust detection and management platform calculates the probability of suspected ships exceeding the exhaust standard based on the input real-time detected ship exhaust, combined with the ship exhaust standard calibration method described in claim 1, and color-marks the suspected ships according to the probability value, and at the same time summarizes the ship's information data and detection data and displays them on the command screen of the command and control center.

3. The ship exhaust detection and early warning system according to claim 2 is characterized in that: The Internet of Things equipment management center includes a ship exhaust gas detector, a dynamic lifting pulley block, and a ship number recognition camera; wherein the ship exhaust gas detector is connected to the maritime intranet through a wireless local area network, and the dynamic lifting pulley block is equipped with a ship exhaust gas detector, which collects exhaust gases from ships with upper opening smoke exhaust channels and ships with lower opening smoke exhaust channels through lifting, and the ship number recognition camera is connected to the maritime intranet through a wireless local area network.

4. The ship exhaust detection and early warning system according to claim 3 is characterized in that: The ship number recognition camera automatically recognizes the IMO identification code of the ship, queries the detailed registration information of the ship through the ship information query interface, and uploads it to the data center after aggregation.

5. The ship exhaust detection and early warning system according to claim 4 is characterized in that: The ship information access management is used to call the ship information query interface, and locally store the queried ship registration information, ship basic information, and ship navigation information through the ship's IMO identification number to facilitate subsequent query and use.

6. The ship exhaust detection and early warning system according to claim 2, characterized in that: The data center divides the data into two categories according to the data frequency dimension: one is real-time data, which is used to identify warnings of excessive exhaust gas from ships; the other is historical data, which is used for data analysis and mining and administrative decision-making.

7. The ship exhaust detection and early warning system according to claim 2 is characterized in that: The command and control center displays ship information and real-time ship detection data information based on the ship exhaust gas exceeding the standard warning algorithm, generates a list of illegal ships for illegal ship information, and displays the ship exhaust gas exceeding the standard information on the display screen in a rotating manner. Clicking on a certain illegal ship can also display the detailed registration information and actual emission data of the ship; It supports voice broadcast and information push of alarm information, and the information of illegal ships will be pushed to the maritime administrative law enforcement system.

8. The ship exhaust detection and early warning system according to claim 2 is characterized in that: The detection data access management is used to achieve docking with ship exhaust gas detector equipment, formulate access data formats and specifications according to equipment and data access rules, store real-time detection data collected and analyzed by front-end equipment, and form a real-time database.

9. The ship exhaust detection and early warning system according to claim 2, characterized in that: The electronic chart access management is used to realize the visualization of the chart and display the information and trajectory of the ships currently entering and exiting the detection channel; by querying the historical information of the ships exceeding the standard, the monitoring records of the ship passing through all monitoring points in this detection channel are viewed, and the results are retrospectively verified in combination with the exhaust gas detection values, audio and video images, IMO ship information data, and exhaust gas emission index data evidence chain.

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