A smoke and flue gas adaptive detection method, system, medium and tester

Abstract

The present invention provides a method, system, medium and tester for adaptive detection of smoke and flue gas. The scheme includes obtaining sample smoke and sample smoke, passing through a smoke circuit and a smoke circuit in turn; using sensors in the smoke circuit to obtain ultraviolet pulse signals, infrared sensor images, shooting angles and electrochemically detected material content of sample smoke in real time; obtaining ultraviolet pulse signals, extracting them into curve form, and obtaining ultraviolet signal numbers by comparison with preset typical ultraviolet curves; calculating the volume of the overheated gas area; generating electrochemical information based on the reaction rate and material content; obtaining ultraviolet signal numbers, overheated area volumes and electrochemical information, and sending them to a cloud data center through a wireless network to determine whether there is an abnormal risk, and if so, issuing an alarm signal, and if not, saving the data. The scheme uses smoke measurement results to adaptively perform online monitoring of smoke and smog, and achieves efficient and accurate smoke and flue gas monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of smoke monitoring, and more specifically, to a smoke and flue gas adaptive detection method, system, medium and tester. Background Art

[0002] Currently, most of the smoke and flue gas detectors on the market are a combination of smoke sampling and electrochemical smoke gas sensors. With the continuous development of monitoring technology and the increasing requirements of the environmental protection industry for the accuracy of monitoring data, the existing technical solutions can no longer fully meet the usage needs.

[0003] Prior to the technology of the present invention, the main problems of the prior art include: 1) The existing technical means of smoke concentration monitoring is to operate through on-site sample collection and laboratory constant temperature weighing processing. This traditional monitoring method is time-consuming and labor-intensive, has high cost, and is greatly affected by factors such as human interference and environmental conditions, resulting in poor timeliness of data results and low data accuracy; 2) The existing flue gas concentration analysis mainly includes electrochemical method, ultraviolet optical method, and infrared optical method. The detectors on the market that can simultaneously meet the needs of smoke and flue gas monitoring are mostly smoke sampling and electrochemical flue gas analysis. This electrochemical method is easily affected by factors such as humidity and cross-interference that affect the accuracy of the data; 3) There are still many components in the flue gas that need to be sampled on-site using the traditional solution absorption sampling method. Summary of the invention

[0004] In view of the above problems, the present invention proposes a smoke and flue gas adaptive detection method, system, medium and tester, which can adaptively perform online monitoring of smoke and smoke through smoke measurement results to achieve efficient and accurate smoke and flue gas monitoring.

[0005] According to a first aspect of an embodiment of the present invention, a smoke and flue gas adaptive detection method is provided.

[0006] In one or more embodiments, preferably, the smoke and flue gas adaptive detection method comprises:

[0007] Obtaining sample flue gas and sample smoke dust;

[0008] Obtain the UV pulse signal, infrared sensor image, shooting angle and electrochemical detection substance content of the sample flue gas in real time;

[0009] Extracting the obtained ultraviolet pulse signal into a curve form, and comparing it with a preset typical ultraviolet curve to obtain an ultraviolet signal number;

[0010] Calculate the volume of the superheated gas area based on all the infrared sensor images obtained and the corresponding image shooting angles;

[0011] The real-time data of the substance content detected by electrochemical detection will be obtained, and electrochemical information will be generated based on the reaction rate and substance content;

[0012] It is determined whether there is an abnormal risk based on the UV signal number, the volume of the overheated area and the electrochemical information. If so, an alarm signal is issued; if not, the data is saved.

[0013] In one or more embodiments, preferably, obtaining the sample flue gas and the sample smoke dust specifically includes:

[0014] Obtaining a sample flue gas, passing the sample flue gas through a filter for gas-water separation, a flue gas analysis pump, a flue gas analysis gas volume, a flue gas analysis flowmeter, a flue gas analysis unit, and a second electrochemical sensor module of a flue gas circuit in sequence, and then discharging the sample flue gas;

[0015] The sample smoke is obtained, connected to the air inlet nozzle, and then passes through the smoke inlet nozzle of the smoke circuit, the filter for smoke gas and water separation, the smoke flow meter, the smoke gas container, the smoke pump, and is discharged.

[0016] In one or more embodiments, preferably, the obtaining of the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemically detected substance content of the sample flue gas specifically includes:

[0017] Extracting the ultraviolet pulse signal in the flue gas loop through the ultraviolet flue gas detection module in the flue gas analysis unit according to a preset sampling period;

[0018] In the flue gas loop, an infrared smoke detection module in the smoke analysis unit automatically captures an infrared sensor image, and saves the corresponding image capture angle to generate a plurality of infrared sensor images;

[0019] Extracting the content of substances before electrochemical reaction through the first electrochemical sensor module in the flue gas analysis unit in the flue gas loop;

[0020] Extracting the content of the substance after the electrochemical reaction through the second electrochemical sensor module in the flue gas circuit;

[0021] Analyze and determine real-time data of the substance content detected by electrochemical detection according to the substance content before the electrochemical reaction and the substance content after the electrochemical reaction;

[0022] Wherein, the smoke analysis unit includes the first electrochemical sensor module, the infrared smoke detection module and the ultraviolet smoke detection module.

[0023] In one or more embodiments, preferably, the step of extracting the ultraviolet pulse signal into a curve form and comparing it with a preset typical ultraviolet curve to obtain an ultraviolet signal number specifically includes:

[0024] Acquire all of the ultraviolet pulse signals and store them in an ultraviolet data storage area in real time;

[0025] Extracting the amplitude of the latest ultraviolet pulse signal within N seconds from the ultraviolet data storage area, generating a curve according to the change of the amplitude of the ultraviolet pulse signal over time, and saving it as a first ultraviolet curve;

[0026] Extracting all the typical ultraviolet curves, wherein the typical ultraviolet curves are ultraviolet curves obtained by extracting the ultraviolet pulse signal from data of known gas types in advance, and each of the typical ultraviolet curves is assigned a corresponding number;

[0027] Calculating the amplitude similarity between the first ultraviolet curve and the typical ultraviolet curve using a first calculation formula;

[0028] Calculating the frequency similarity ratio between the first ultraviolet curve and the typical ultraviolet curve using a second calculation formula;

[0029] The comprehensive ultraviolet similarity is calculated using the third calculation formula;

[0030] Determine the number corresponding to the typical ultraviolet curve when the comprehensive ultraviolet similarity is the largest, save it as the ultraviolet signal number, and transmit it to the data sending module via wireless;

[0031] The first calculation formula is:

[0032] S t_i =100%×[(max t -min t )-(ma i -mi i )] / (ma i -mi i )

[0033] Among them, S t_i is the amplitude similarity, max t is the maximum amplitude of the first ultraviolet curve at time t, min t is the minimum amplitude of the first ultraviolet curve at time t, ma i is the maximum amplitude of the i-th typical UV curve, mi i is the minimum amplitude of the i-th typical ultraviolet curve;

[0034] The second calculation formula is:

[0035] F t =100%×(Fs-Fi) / Fi

[0036] Among them, F tis the frequency similarity ratio, F i is the highest frequency value of the i-th typical ultraviolet curve, F s is the frequency value of the highest frequency of the first ultraviolet curve;

[0037] The third calculation formula is:

[0038] S=k1F t +k2S t_i

[0039] Wherein, S is the comprehensive ultraviolet similarity, k1 is the amplitude ratio, and k2 is the frequency ratio.

[0040] In one or more embodiments, preferably, the step of calculating the volume of the superheated gas region based on obtaining all infrared sensor images and corresponding image shooting angles specifically includes:

[0041] Extract all the latest infrared detection images within N seconds, and perform grayscale processing on two infrared detection images obtained in the vertical direction of the same area to generate a first grayscale image and a second grayscale image respectively;

[0042] Calculate a first overheating area using a fourth calculation formula according to the first grayscale image;

[0043] Calculate a second overheating area using a fifth calculation formula according to the second grayscale image;

[0044] Calculating an average length using a sixth calculation formula according to the first overheating area and the second overheating area;

[0045] Calculating the superheated volume using a seventh calculation formula using the first superheated area, the second superheated area and the average length;

[0046] The superheated volume is saved as the superheated gas area volume, and transmitted to the data sending module via wireless transmission;

[0047] The fourth calculation formula is:

[0048] M1=COUNT(H 1_x,y >T)

[0049] Wherein, M1 is the first overheating area, COUNT() is the counting function of the pixel points, H 1_x,y is the grayscale value corresponding to the horizontal coordinate x and the vertical coordinate y in the first grayscale image, and T is the overheat margin;

[0050] The fifth calculation formula is:

[0051] M2=COUNT(H 2_x,y >T)

[0052] Wherein, M2 is the second superheat area, H 2_x,y is the grayscale value corresponding to the horizontal coordinate x and the vertical coordinate y in the second grayscale image;

[0053] The sixth calculation formula is:

[0054]

[0055] Wherein, L is the average length;

[0056] The seventh calculation formula is:

[0057] V=MAX(M1,M2)×L

[0058] Wherein, V is the superheated volume, and MAX() is a function for extracting the maximum value of a parameter.

[0059] In one or more embodiments, preferably, the real-time data of the substance content detected by electrochemical detection is obtained, and electrochemical information is generated according to the reaction rate and the substance content, specifically including:

[0060] Obtain real-time data on the content of substances detected by electrochemical detection;

[0061] The content of all electrochemically detected substances is divided into fast-changing substances and slow-changing substances according to the preset classification;

[0062] Determining whether the fast-changing material satisfies the eighth calculation formula, if so, issuing an overspeed signal, otherwise, no processing is performed;

[0063] Determine whether the slow-changing material satisfies the ninth calculation formula, and if not, issue an over-limit signal, otherwise, do nothing;

[0064] The overspeed signal and the over-limit signal are stored together with the corresponding substance names as the electrochemical information, and are wirelessly transmitted to the data transmission module;

[0065] The eighth calculation formula is:

[0066] dS1 / dt>A

[0067] Wherein, t is time, S1 is the content of the fast-changing substance, and A is the lowest threshold value of the fast-changing substance;

[0068] The ninth calculation formula is:

[0069] B1>S2>B2

[0070] Among them, S2 is the content of the slow-changing substance, B1 is the upper limit of the content of the slow-changing substance, and B2 is the lower limit of the content of the slow-changing substance.

[0071] In one or more embodiments, preferably, judging whether there is an abnormal risk based on obtaining the UV signal number, the volume of the overheated area and the electrochemical information, and issuing an alarm signal if there is an abnormal risk, and saving data if there is no abnormal risk, specifically includes:

[0072] reading the ultraviolet signal number in the data sending module, and determining whether the ultraviolet signal number is in an abnormal state;

[0073] When the ultraviolet signal number is in an abnormal state, a first abnormal command is sent, and if it is not received, the command is not processed and continues to be executed;

[0074] After judging the received electrochemical information in the data sending module, a second abnormal command is sent, and if the second abnormal command is not received, the second abnormal command is not processed and the execution is continued;

[0075] After receiving the first abnormal command or the second abnormal command, reading the overheating area volume in the current data sending module, and sending a joint analysis command to the cloud data center;

[0076] After the cloud data center receives the joint analysis command, the cloud data center obtains the ultraviolet signal number, the overheated area volume and the electrochemical information, and determines whether there is an abnormal risk. If so, an alarm signal is issued, and if not, the analysis result is recorded.

[0077] According to a second aspect of an embodiment of the present invention, a smoke and flue gas adaptive detection system is provided.

[0078] In one or more embodiments, preferably, the smoke and fume adaptive detection system comprises:

[0079] A smoke and dust sampling module is used to obtain sample smoke and sample smoke, which pass through the smoke circuit and the smoke circuit in sequence;

[0080] Flue gas analysis module, used to obtain the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemical detection substance content of the sample flue gas in real time;

[0081] An ultraviolet analysis module, used for extracting the ultraviolet pulse signal into a curve form, and comparing it with a preset typical ultraviolet curve to obtain an ultraviolet signal number;

[0082] The infrared analysis module is used to calculate the volume of the superheated gas area based on all the infrared sensor images and the corresponding image shooting angles;

[0083] The electrochemical analysis module is used to obtain real-time data of the substance content detected by electrochemical detection and generate electrochemical information according to the reaction rate and substance content;

[0084] The feature judgment module is used to judge whether there is an abnormal risk based on the ultraviolet signal number, the volume of the overheated area and the electrochemical information, and to send an alarm signal if there is an abnormal risk, and to save the data if there is no abnormal risk.

[0085] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0086] According to a fourth aspect of an embodiment of the present invention, there is provided an analyzer, comprising: a flue gas analysis device, a flue gas sampling device, a smoke dust sampling device and a base plate, wherein the base plate is provided with an exhaust nozzle and a drainage nozzle, and the flue gas analysis device is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the flue gas analysis device to implement any method described in the first aspect of the embodiment.

[0087] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0088] This solution uses smoke measurement results to adaptively perform online monitoring of smoke and smog, achieving efficient and accurate smoke and fumes monitoring.

[0089] This solution performs online analysis and alarm of flue gas data through automatic combined analysis of infrared, ultraviolet and electrochemical methods.

[0090] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0091] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0092] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0093] Figure 1 The present invention is a flowchart of a smoke and flue gas adaptive detection method according to an embodiment of the present invention.

[0094] Figure 2The present invention is a flowchart of obtaining sample smoke and sample smoke in a smoke and flue gas adaptive detection method according to an embodiment of the present invention, and sequentially passing through a smoke circuit and a smoke circuit.

[0095] Figure 3 It is a flow chart of a smoke and flue gas adaptive detection method according to an embodiment of the present invention, which uses a sensor in the flue gas circuit to obtain in real time the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemically detected substance content of the sample flue gas.

[0096] Figure 4 It is a flowchart of obtaining the ultraviolet pulse signal in a smoke and flue gas adaptive detection method according to an embodiment of the present invention, extracting it into a curve form, and obtaining the ultraviolet signal number by comparing it with a preset typical ultraviolet curve.

[0097] Figure 5 The present invention is a flowchart of obtaining all infrared sensor images and corresponding image shooting angles and calculating the volume of the overheated gas area in a smoke and flue gas adaptive detection method according to an embodiment of the present invention.

[0098] Figure 6 It is a flow chart of obtaining real-time data of substance content detected by electrochemical detection in a smoke and flue gas adaptive detection method according to an embodiment of the present invention, and generating electrochemical information according to reaction speed and substance content.

[0099] Figure 7 It is a flowchart of an adaptive smoke and flue gas detection method in an embodiment of the present invention, which obtains the ultraviolet signal number, the volume of the overheated area and the electrochemical information, and sends them to a cloud data center through a wireless network to determine whether there is an abnormal risk. If so, an alarm signal is issued, and if not, the data is saved.

[0100] Figure 8 It is a structural diagram of a smoke and flue gas adaptive detection system according to an embodiment of the present invention.

[0101] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0102] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0103] 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0104] Currently, most of the smoke and flue gas detectors on the market are a combination of smoke sampling and electrochemical smoke gas sensors. With the continuous development of monitoring technology and the increasing requirements of the environmental protection industry for the accuracy of monitoring data, the existing technical solutions can no longer fully meet the usage needs.

[0105] Prior to the technology of the present invention, the main problems of the prior art include: 1) The existing technical means of smoke concentration monitoring is to operate through on-site sample collection and laboratory constant temperature weighing processing. This traditional monitoring method is time-consuming and labor-intensive, has high cost, and is greatly affected by factors such as human interference and environmental conditions, resulting in poor timeliness of data results and low data accuracy; 2) The existing flue gas concentration analysis mainly includes electrochemical method, ultraviolet optical method, and infrared optical method. The detectors on the market that can simultaneously meet the needs of smoke and flue gas monitoring are mostly smoke sampling and electrochemical flue gas analysis. This electrochemical method is easily affected by factors such as humidity and cross-interference that affect the accuracy of the data; 3) There are still many components in the flue gas that need to be sampled on-site using the traditional solution absorption sampling method.

[0106] In the embodiment of the present invention, a smoke and smoke adaptive detection method, system, medium and tester are provided. The solution adaptively performs online monitoring of smoke and smoke through smoke measurement results to achieve efficient and accurate smoke and smoke monitoring.

[0107] According to a first aspect of an embodiment of the present invention, a smoke and flue gas adaptive detection method is provided.

[0108] Figure 1The present invention is a flowchart of a smoke and flue gas adaptive detection method according to an embodiment of the present invention.

[0109] In one or more embodiments, preferably, the smoke and flue gas adaptive detection method comprises:

[0110] S101, obtaining sample flue gas and sample smoke dust, and passing them through a flue gas circuit and a smoke dust circuit in sequence;

[0111] S102, using the sensor in the flue gas circuit to obtain in real time the ultraviolet pulse signal, infrared sensor image, shooting angle and substance content detected by electrochemical detection of the sample flue gas;

[0112] S103, obtaining the ultraviolet pulse signal, extracting it into a curve form, and comparing it with a preset typical ultraviolet curve to obtain an ultraviolet signal number;

[0113] S104, obtaining all infrared sensor images and corresponding image shooting angles, and calculating the volume of the superheated gas area;

[0114] S105, obtaining real-time data of substance content detected by electrochemical detection, and generating electrochemical information according to reaction rate and substance content;

[0115] S106, obtaining the UV signal number, the volume of the overheated area and the electrochemical information, and sending them to the cloud data center via a wireless network to determine whether there is an abnormal risk. If so, an alarm signal is issued; if not, the data is saved.

[0116] In the embodiment of the present invention, the abnormal risks mentioned include but are not limited to gas overheating, harmful gas, discharge inside the gas, and ultraviolet signal numbering. In the present invention, electrochemical information mainly refers to two aspects. The first aspect is whether an over-rapid reaction occurs, and the second aspect is whether an abnormal content occurs. These two situations will be sent to the cloud data center for abnormal risk judgment.

[0117] Figure 2 The present invention is a flowchart of obtaining sample smoke and sample smoke in a smoke and flue gas adaptive detection method according to an embodiment of the present invention, and sequentially passing through a smoke circuit and a smoke circuit.

[0118] like Figure 2 As shown, in one or more embodiments, preferably, the obtaining of the sample flue gas and the sample smoke dust sequentially passes through the flue gas circuit and the smoke dust circuit, specifically including:

[0119] S201, obtaining a flue gas sample, passing the flue gas sample through a filter for gas-water separation, a flue gas analysis pump, a flue gas analysis gas volume, a flue gas analysis flowmeter, a flue gas analysis unit, and a second electrochemical sensor module in sequence, and then discharging the flue gas sample;

[0120] S202, obtaining a smoke sample, connecting it to an air inlet nozzle, and then passing through the smoke inlet nozzle, a filter for separating smoke gas and water, a smoke flow meter, a smoke gas container, and a smoke pump in sequence, and then discharged;

[0121] The smoke circuit includes a smoke inlet nozzle, a filter for separating smoke gas and water, a smoke flow meter, a smoke gas container, and a smoke pump;

[0122] Wherein, the flue gas circuit includes a filter for gas-water separation, a flue gas analysis pump, a flue gas analysis gas volume, a flue gas analysis flowmeter, the flue gas analysis unit and the second electrochemical sensor module.

[0123] In the embodiment of the present invention, the problem solved is to integrate the functions of smoke dust sampling, smoke direct reading, smoke sampling and smoke analysis, wherein the smoke analysis function can arbitrarily combine the three smoke analysis modules of electrochemical sensor, ultraviolet optical module and infrared optical module with different principles. The modular design of each component of the instrument facilitates the replacement of sensors with different principles. Through different detection methods, the accuracy of the detection results is effectively improved. The smoke direct reading function significantly reduces the cost and time of sampling and detection. In this solution, the three tasks of smoke sampling or direct reading, smoke sampling and smoke analysis can be carried out simultaneously, greatly shortening the on-site sampling time.

[0124] Figure 3 It is a flow chart of a smoke and flue gas adaptive detection method according to an embodiment of the present invention, which uses a sensor in the flue gas circuit to obtain in real time the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemically detected substance content of the sample flue gas.

[0125] like Figure 3 As shown, in one or more embodiments, preferably, the method of using the sensor in the flue gas circuit to obtain the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemically detected substance content of the sample flue gas in real time specifically includes:

[0126] S301, extracting the ultraviolet pulse signal in the flue gas circuit through the ultraviolet flue gas detection module in the flue gas analysis unit according to a preset sampling period;

[0127] S302, automatically taking an infrared sensor image in the smoke circuit through the infrared smoke detection module in the smoke analysis unit, and saving the corresponding image shooting angle to generate a plurality of infrared sensor images;

[0128] S303, extracting the content of the substance before the electrochemical reaction through the first electrochemical sensor module in the flue gas analysis unit in the flue gas loop;

[0129] S304, extracting the content of the substance after the electrochemical reaction through the second electrochemical sensor module in the flue gas circuit;

[0130] S305, analyzing and determining real-time data of the substance content detected by electrochemical detection according to the substance content before the electrochemical reaction and the substance content after the electrochemical reaction;

[0131] Wherein, the smoke analysis unit includes the first electrochemical sensor module, the infrared smoke detection module and the ultraviolet smoke detection module.

[0132] In the embodiment of the present invention, in order to carry out subsequent analysis, both the flue gas sample and the smoke dust sample are processed to obtain the real-time ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemical detection substance content of the sensor. Among them, the real-time data of the substance content detected by electrochemical detection mainly includes harmful substances in the smoke dust, such as formaldehyde. Because the content of the substances involved in the reaction changes before and after the reaction, the specific substance content can be inferred by using the existing chemical reaction formula through the changes in the content of these substances.

[0133] Figure 4 It is a flowchart of obtaining the ultraviolet pulse signal in a smoke and flue gas adaptive detection method according to an embodiment of the present invention, extracting it into a curve form, and obtaining the ultraviolet signal number by comparing it with a preset typical ultraviolet curve.

[0134] like Figure 4 As shown, in one or more embodiments, preferably, the ultraviolet pulse signal is obtained and extracted into a curve form, and compared with a preset typical ultraviolet curve to obtain an ultraviolet signal number, specifically including:

[0135] S401, acquiring all the ultraviolet pulse signals and storing them in an ultraviolet data storage area in real time;

[0136] S402, extracting the amplitude of the ultraviolet pulse signal within the latest N seconds from the ultraviolet data storage area, generating a curve according to the change of the amplitude of the ultraviolet pulse signal over time, and saving it as a first ultraviolet curve;

[0137] S403, extracting all the typical ultraviolet curves, wherein the typical ultraviolet curves are ultraviolet curves obtained by extracting the ultraviolet pulse signal from data of known gas types in advance, and each of the typical ultraviolet curves is assigned a corresponding number;

[0138] S404, calculating the amplitude similarity between the first ultraviolet curve and the typical ultraviolet curve using a first calculation formula;

[0139] S405, calculating the frequency similarity ratio between the first ultraviolet curve and the typical ultraviolet curve using a second calculation formula;

[0140] S406, calculating the comprehensive ultraviolet similarity using a third calculation formula;

[0141] S407, determining the number corresponding to the typical ultraviolet curve when the comprehensive ultraviolet similarity is the largest, saving it as the ultraviolet signal number, and transmitting it to the data sending module via wireless;

[0142] The first calculation formula is:

[0143] S t_i =100%×[(max t -min t )-(ma i -mi i )] / (ma i -mi i )

[0144] Among them, S t_i is the amplitude similarity, max t is the maximum amplitude of the first ultraviolet curve at time t, min t is the minimum amplitude of the first ultraviolet curve at time t, ma i is the maximum amplitude of the i-th typical UV curve, mi i is the minimum amplitude of the i-th typical ultraviolet curve;

[0145] The second calculation formula is:

[0146] F t =100%×(Fs-Fi) / Fi

[0147] Among them, F t is the frequency similarity ratio, F i is the highest frequency value of the i-th typical ultraviolet curve, F s is the frequency value of the highest frequency of the first ultraviolet curve;

[0148] The third calculation formula is:

[0149] S=k1F t +k2S t_i

[0150] Wherein, S is the comprehensive ultraviolet similarity, k1 is the amplitude ratio, and k2 is the frequency ratio.

[0151] In an embodiment of the present invention, in order to solve the problem that the UV data is irregularly collected and it is difficult to directly obtain its key features, the amplitude similarity is determined for the input UV curve according to its maximum amplitude and minimum amplitude, and combined with the frequency similarity ratio, the frequency similarity ratio is calculated through the measured highest frequency value, and finally the comprehensive UV similarity is calculated, and the corresponding number of the typical UV waveform with the highest similarity is output. In this way, the problem that the UV data is irregular and cannot be effectively compared is solved, the relationship between the UV data and the typical UV signal is quantified, and finally the UV signal number obtained for each detection is generated. The corresponding numbers of the UV waveforms can be numbered one by one according to the flue gas type in real time. k1 is the amplitude.

[0152] Figure 5 The present invention is a flowchart of obtaining all infrared sensor images and corresponding image shooting angles and calculating the volume of the overheated gas area in a smoke and flue gas adaptive detection method according to an embodiment of the present invention.

[0153] like Figure 5 As shown, in one or more embodiments, preferably, the obtaining of all infrared sensor images and corresponding image shooting angles and calculating the volume of the superheated gas region specifically includes:

[0154] S501, extracting all the latest infrared detection images within N seconds, performing grayscale processing on two infrared detection images obtained in the vertical direction of the same area, and generating a first grayscale image and a second grayscale image respectively;

[0155] S502, calculating a first overheating area using a fourth calculation formula according to the first grayscale image;

[0156] S503, calculating a second overheating area using a fifth calculation formula according to the second grayscale image;

[0157] S504, calculating an average length using a sixth calculation formula according to the first overheating area and the second overheating area;

[0158] S505, using the first overheating area, the second overheating area and the average length, and using a seventh calculation formula to calculate an overheating volume;

[0159] S506, saving the superheated volume as the superheated gas area volume, and transmitting it to the data sending module via wireless transmission;

[0160] The fourth calculation formula is:

[0161] M1=COUNT(H 1_x,y >T)

[0162] Wherein, M1 is the first overheating area, COUNT() is the counting function of the pixel points, H 1_x,y is the grayscale value corresponding to the horizontal coordinate x and the vertical coordinate y in the first grayscale image, and T is the overheat margin;

[0163] The fifth calculation formula is:

[0164] M2=COUNT(H 2_x,y >T)

[0165] Wherein, M2 is the second superheat area, H 2_x,y is the grayscale value corresponding to the horizontal coordinate x and the vertical coordinate y in the second grayscale image;

[0166] The sixth calculation formula is:

[0167]

[0168] Wherein, L is the average length;

[0169] The seventh calculation formula is:

[0170] V=MAX(M1,M2)×L

[0171] Wherein, V is the superheated volume, and MAX() is a function for extracting the maximum value of a parameter.

[0172] In the embodiment of the present invention, due to the range of infrared data, the data obtained through the image is actually area data, and it is unclear. In order to comprehensively consider the range of infrared overheating, a simple and fast volume estimation is required. In this estimation process, two infrared data collected in vertical directions are required to obtain the entire infrared overheating volume in three dimensions. Since some areas cannot be observed during infrared overheating, in order to ensure the reliability of the entire data, the range of the overheating volume will be appropriately expanded, and it is considered that all unobservable areas also belong to the overheating range.

[0173] Figure 6 It is a flow chart of obtaining real-time data of substance content detected by electrochemical detection in a smoke and flue gas adaptive detection method according to an embodiment of the present invention, and generating electrochemical information according to reaction speed and substance content.

[0174] like Figure 6 As shown, in one or more embodiments, preferably, the real-time data of the substance content detected by electrochemical detection is obtained, and electrochemical information is generated according to the reaction rate and the substance content, specifically including:

[0175] S601, obtaining real-time data of substance content detected by electrochemical detection;

[0176] S602, classifying the contents of all substances detected by electrochemical tests into fast-changing substances and slow-changing substances according to preset classifications;

[0177] S603, judging whether the fast-changing material satisfies the eighth calculation formula, and if so, issuing an overspeed signal, otherwise, no processing is performed;

[0178] S604, judging whether the slow-changing material satisfies the ninth calculation formula, and if not, issuing an over-limit signal, otherwise, no processing is performed;

[0179] S605, saving the overspeed signal and the over-limit signal together with the corresponding substance names as the electrochemical information, and transmitting them to the data sending module via wireless transmission;

[0180] The eighth calculation formula is:

[0181] dS1 / dt>A

[0182] Wherein, t is time, S1 is the content of the fast-changing substance, and A is the lowest threshold value of the fast-changing substance;

[0183] The ninth calculation formula is:

[0184] B1>S2>B2

[0185] Among them, S2 is the content of the slow-changing substance, B1 is the upper limit of the content of the slow-changing substance, and B2 is the lower limit of the content of the slow-changing substance.

[0186] In the real-time example of the present invention, the classification process of fast-changing substances and slow-changing substances is: after taking the average value of the change rate of all substance content percentages over time in historical data, the substance whose content percentage change rate over time in historical data exceeds the average value is a fast-changing substance, and the others are slow-changing substances.

[0187] Figure 7 It is a flowchart of an adaptive smoke and flue gas detection method in an embodiment of the present invention, which obtains the ultraviolet signal number, the volume of the overheated area and the electrochemical information, and sends them to a cloud data center through a wireless network to determine whether there is an abnormal risk. If so, an alarm signal is issued, and if not, the data is saved.

[0188] like Figure 7 As shown, in one or more embodiments, preferably, the obtaining of the UV signal number, the volume of the overheated area and the electrochemical information, and sending them to a cloud data center via a wireless network to determine whether there is an abnormal risk, and if so, issuing an alarm signal, and if not, saving the data, specifically includes:

[0189] S701, reading the ultraviolet signal number in the data sending module, and determining whether the ultraviolet signal number is in an abnormal state;

[0190] S702, when the ultraviolet signal number is in an abnormal state, sending a first abnormal command, and if not received, continuing to execute without processing;

[0191] S703, after judging the received electrochemical information in the data sending module, sending a second abnormal command, and continuing to execute without processing if the second abnormal command is not received;

[0192] S704, after receiving the first abnormal command or the second abnormal command, reading the overheating area volume in the current data sending module, and sending a joint analysis command to the cloud data center;

[0193] S705. After the cloud data center receives the joint analysis command, the cloud data center obtains the ultraviolet signal number, the volume of the overheated area and the electrochemical information, and determines whether there is an abnormal risk in the cloud data center. If so, an alarm signal is issued; if not, the analysis result is recorded.

[0194] In an embodiment of the present invention, in order to analyze whether the current material has undergone a large fluctuation and thus generated an abnormal risk, it is necessary to obtain the corresponding data in the cloud data center and perform online analysis to generate an alarm signal. When judging whether the ultraviolet signal number is in an abnormal state, it is mainly that some ultraviolet signal numbers correspond to preset abnormal states. The joint analysis command is an eight-bit fixed code, for example, it can be 01030102. In the cloud data center, it is judged whether there is an abnormal risk. The specific process is to judge whether this state is a pre-known state. If it can be determined as a known state based on the ultraviolet signal number, the volume of the overheated area and the electrochemical information, the analysis results are directly recorded and displayed.

[0195] According to a second aspect of an embodiment of the present invention, a smoke and flue gas adaptive detection system is provided.

[0196] Figure 8 It is a structural diagram of a smoke and flue gas adaptive detection system according to an embodiment of the present invention.

[0197] In one or more embodiments, preferably, the smoke and fume adaptive detection system comprises:

[0198] The smoke and dust sampling module 801 is used to obtain sample smoke and sample smoke, which pass through the smoke circuit and the smoke circuit in sequence;

[0199] The flue gas analysis module 802 is used to obtain the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemical detection substance content of the sample flue gas in real time using the sensor in the flue gas circuit;

[0200] The ultraviolet analysis module 803 is used to obtain the ultraviolet pulse signal, extract it into a curve form, and compare it with a preset typical ultraviolet curve to obtain an ultraviolet signal number;

[0201] The infrared analysis module 804 is used to obtain all infrared sensor images and corresponding image shooting angles, and calculate the volume of the superheated gas area;

[0202] The electrochemical analysis module 805 is used to obtain real-time data of the substance content detected by electrochemical detection and generate electrochemical information according to the reaction rate and substance content;

[0203] The feature judgment module 806 is used to obtain the UV signal number, the volume of the overheated area and the electrochemical information, and send them to the cloud data center via a wireless network to determine whether there is an abnormal risk. If so, an alarm signal is issued, and if not, the data is saved.

[0204] In the embodiment of the present invention, a modular analysis is performed on the flue gas to achieve efficient and reliable dynamic joint analysis, thereby improving the reliability and efficiency of the flue gas analysis.

[0205] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0206] According to a fourth aspect of an embodiment of the present invention, an analyzer is provided. Fig. 9It is a structural diagram of an analyzer in one embodiment of the present invention. The analyzer includes: a flue gas analyzer, a flue gas sampling device, a smoke dust sampling device and a bottom plate 7, the bottom plate 7 is provided with an exhaust nozzle 71 and a drain nozzle 72; the flue gas analyzer includes a flue gas analysis air inlet nozzle 1, an integrated gas-water separation filter 2, a flue gas analysis pump 3, a flue gas analysis gas volume 4, a flue gas analysis flowmeter 5 and a flue gas analysis unit 6 which are sequentially connected through pipelines, and the flue gas analysis unit 6 is connected to the exhaust nozzle 71 of the bottom plate 7 through a pipeline; the flue gas sampling device includes a flue gas sampling air inlet nozzle 10, an integrated gas-water separation filter 2, a flue gas analysis pump 3, a flue gas analysis gas volume 4, a flue gas analysis flowmeter 5 and a flue gas analysis unit 6 which are sequentially connected through pipelines The separation filter 2, the smoke sampling flow meter 11, the smoke sampling gas volume 12, and the smoke sampling pump 13 are connected to the exhaust nozzle 71 of the bottom plate 7 through a pipeline. Preferably, two smoke sampling pumps 13 are provided; the smoke sampling device includes a smoke sampling nozzle 15, an integrated gas-water separation filter 2, a smoke flow meter 16, and a smoke pump 17 connected in sequence through pipelines. The smoke pump 17 is connected to the exhaust nozzle 71 of the bottom plate 7 through a pipeline, and the smoke pump 17 is provided with an elastic gas volume, which makes the sampling flow more stable and accurate. The detector can realize the direct reading function of smoke by configuring a smoke detector based on the principle of β rays. Therefore, the smoke and dust detector integrates the functions of smoke analysis, smoke sampling, smoke sampling, and smoke direct reading, and can perform smoke analysis, smoke sampling, and smoke sampling at the same time, greatly shortening the on-site sampling time. A separate smoke sampling pipeline samples smoke that cannot be analyzed on-site; and the integration of smoke sampling and smoke direct reading functions can not only meet the traditional sampling methods, but also meet the technical requirements of on-site direct reading. If the detector needs to use the smoke solution absorption method for parallel sampling, it can expand dual or multi-channel smoke sampling branches for simultaneous sampling.

[0207] Specifically, in the above embodiment, the flue gas analysis unit 6 is composed of a first electrochemical sensor module 61, an infrared flue gas detection module 62 and an ultraviolet flue gas detection module 63 in parallel. The flue gas analysis module can select electrochemical method, ultraviolet optical method or infrared optical method. The user can select and combine according to different situations, and select one or more detection methods, so that one instrument has multiple detection methods, which effectively improves the accuracy of the detection results and work efficiency; and the infrared flue gas detection module 62 and the ultraviolet flue gas detection module 63 are both provided with a constant temperature device, which can ensure the constant temperature inside the module, effectively ensuring the accuracy of flue gas analysis and data validity. The bottom plate 7 integrates a drain nozzle 72 and an exhaust nozzle 71, which can centrally process the discharged gas or moisture, thereby improving the compactness of the structure. The integrated gas-water separation filter 2 integrates multiple gas-water separation filters, has a compact structure, and realizes gas-water separation while filtering particulate matter.

[0208] For further information, please refer to Fig. 9The smoke analysis device also includes a second electrochemical sensor module 8, which is arranged on the pipeline between the smoke analysis unit 6 and the exhaust nozzle 71. Specifically, the principle of the ultraviolet optical method or infrared optical method determines that it can only measure part of the gas in the smoke, but cannot measure all the target gases, so it is necessary to add an electrochemical sensor module for electrochemical detection to supplement the shortcomings of the optical method. And a group of electrochemical sensor modules can only measure one gas, and adding a second electrochemical sensor module 8 can meet the requirements of different configurations.

[0209] Preferably, in the above embodiment, the first electrochemical sensor module 61 and the second electrochemical sensor module 8 are both provided with a temperature compensation device. When the electrochemical sensor measures the same concentration of gas under different temperature conditions, there will be deviations. Setting a temperature compensation device can effectively reduce the measurement deviation and improve the accuracy of the flue gas analysis data.

[0210] Furthermore, the flue gas analysis device also includes a flue gas analysis drainage pump 9, one end of which is connected to the integrated air-water separation filter 2 through a pipeline, and the other end is connected to the drainage nozzle 72 of the bottom plate 7 through a pipeline, so as to discharge the water separated by the air-water separation filter; the flue gas sampling device also includes a flue gas sampling drainage pump 14, one end of which is connected to the first air-water separation filter through a pipeline, and the other end is connected to the drainage nozzle 72 of the bottom plate 7 through a pipeline, so as to discharge the water separated by the integrated air-water separation filter 2. The integrated air-water separation filter 2 is used to achieve air-water separation while filtering particulate matter, and the water is automatically discharged through the flue gas analysis drainage pump 9 and the flue gas sampling drainage pump 14.

[0211] Preferably, in the above embodiment, the flue gas analysis flowmeter 5, the flue gas sampling flowmeter 11 and the smoke dust flowmeter 16 are all provided with temperature sensors, which can measure the humidity of the gas flowing through the flowmeter and can more accurately measure and convert the dry gas flow.

[0212] In this embodiment, the flue gas analysis device will load and run the instructions corresponding to one or more computer program processes according to the following steps, so as to realize various functions: obtain sample flue gas and sample smoke, and pass them through the flue gas circuit and the smoke dust circuit in turn; use the sensor in the flue gas circuit to obtain the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemical detection substance content of the sample flue gas in real time; obtain the ultraviolet pulse signal, extract it into a curve form, and compare it with the preset typical ultraviolet curve to obtain the ultraviolet signal number; obtain all infrared sensor images and corresponding image shooting angles, and calculate the volume of the overheated gas area; obtain real-time data of the substance content detected by electrochemical detection, and generate electrochemical information according to the reaction rate and substance content; obtain the ultraviolet signal number, the volume of the overheated area and the electrochemical information, and send them to the cloud data center through the wireless network to determine whether there is an abnormal risk. If so, an alarm signal is issued, and if not, the data is saved.

[0213] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0214] This solution uses smoke measurement results to adaptively perform online monitoring of smoke and smog, achieving efficient and accurate smoke and fumes monitoring.

[0215] This solution performs online analysis and alarm of flue gas data through automatic combined analysis of infrared, ultraviolet and electrochemical methods.

[0216] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0217] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0218] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0219] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0220] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A smoke and flue gas adaptive detection method, characterized in that: The method includes: Obtaining sample flue gas and sample smoke dust; Obtain the UV pulse signal, infrared sensor image, shooting angle and electrochemical detection substance content of the sample flue gas in real time; Extracting the ultraviolet pulse signal into a curve form, and comparing it with a preset typical ultraviolet curve to obtain an ultraviolet signal number; Calculate the volume of the superheated gas area based on all the infrared sensor images obtained and the corresponding image shooting angles; The real-time data of the substance content detected by electrochemical detection will be obtained, and electrochemical information will be generated based on the reaction rate and substance content; Determine whether there is an abnormal risk according to the UV signal number, the volume of the overheated area and the electrochemical information, and send an alarm signal if there is an abnormal risk, and save the data if there is no abnormal risk; The step of extracting the ultraviolet pulse signal into a curve form and comparing it with a preset typical ultraviolet curve to obtain an ultraviolet signal number specifically includes: Acquire all of the ultraviolet pulse signals and store them in an ultraviolet data storage area in real time; Extracting the amplitude of the latest ultraviolet pulse signal within N seconds from the ultraviolet data storage area, generating a curve according to the change of the amplitude of the ultraviolet pulse signal over time, and saving it as a first ultraviolet curve; Extracting all the typical ultraviolet curves, wherein the typical ultraviolet curves are ultraviolet curves obtained by extracting the ultraviolet pulse signal from data of known gas types in advance, and each of the typical ultraviolet curves is assigned a corresponding number; Calculating the amplitude similarity between the first ultraviolet curve and the typical ultraviolet curve using a first calculation formula; Calculating the frequency similarity ratio between the first ultraviolet curve and the typical ultraviolet curve using a second calculation formula; The comprehensive ultraviolet similarity is calculated using the third calculation formula; Determine the number corresponding to the typical ultraviolet curve when the comprehensive ultraviolet similarity is the largest, save it as the ultraviolet signal number, and transmit it to the data sending module via wireless; The first calculation formula is: S t_i =100%×[(max t Min t )-(me i me i )] / (me i me i ) Among them, S t_i is the amplitude similarity, max t is the maximum amplitude of the first ultraviolet curve at time t, min t is the minimum amplitude of the first ultraviolet curve at time t, ma i is the maximum amplitude of the i-th typical UV curve, mi i is the minimum amplitude of the i-th typical ultraviolet curve; The second calculation formula is: F t =100%×(F s -F i ) / F i Among them, F t is the frequency similarity ratio, F i is the highest frequency value of the i-th typical ultraviolet curve, F s is the frequency value of the highest frequency of the first ultraviolet curve; The third calculation formula is: S=k1F t +k2S t_i Wherein, S is the comprehensive ultraviolet similarity, k1 is the amplitude ratio, and k2 is the frequency ratio; The step of calculating the volume of the superheated gas region based on all the infrared sensor images and the corresponding image shooting angles specifically includes: Extract all the latest infrared detection images within N seconds, and perform grayscale processing on two infrared detection images obtained in the vertical direction of the same area to generate a first grayscale image and a second grayscale image respectively; Calculate a first overheating area using a fourth calculation formula according to the first grayscale image; Calculate a second overheating area using a fifth calculation formula according to the second grayscale image; Calculating an average length using a sixth calculation formula according to the first overheating area and the second overheating area; Calculating the superheated volume using a seventh calculation formula using the first superheated area, the second superheated area and the average length; The superheated volume is saved as the superheated gas area volume, and transmitted to the data sending module via wireless transmission; The fourth calculation formula is: M1=COUNT(H 1_x,y >T) Wherein, M1 is the first overheating area, COUNT() is the counting function of the pixel points, H 1_x,y is the grayscale value corresponding to the horizontal coordinate x and the vertical coordinate y in the first grayscale image, and T is the overheat margin; The fifth calculation formula is: M2=COUNT(H 2_x,y >T) Wherein, M2 is the second superheat area, H 2_x,y is the grayscale value corresponding to the horizontal coordinate x and the vertical coordinate y in the second grayscale image; The sixth calculation formula is: Wherein, L is the average length; The seventh calculation formula is: V=MAX(M1,M2)×L Wherein, V is the superheated volume, and MAX() is a function for extracting the maximum value of a parameter.

2. The smoke and flue gas adaptive detection method according to claim 1, characterized in that: The obtaining of the sample flue gas and the sample smoke dust specifically comprises: Obtaining a sample flue gas, passing the sample flue gas through a filter for gas-water separation, a flue gas analysis pump, a flue gas analysis gas volume, a flue gas analysis flowmeter, a flue gas analysis unit, and a second electrochemical sensor module of a flue gas circuit in sequence, and then discharging the sample flue gas; The sample smoke is obtained, connected to the air inlet nozzle, and then passes through the smoke inlet nozzle of the smoke circuit, the filter for smoke gas and water separation, the smoke flow meter, the smoke gas container, the smoke pump, and is discharged.

3. The smoke and flue gas adaptive detection method according to claim 2, characterized in that: The method of obtaining the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemically detected substance content of the sample flue gas specifically includes: Extracting the ultraviolet pulse signal in the flue gas loop through the ultraviolet flue gas detection module in the flue gas analysis unit according to a preset sampling period; In the flue gas loop, the infrared smoke detection module in the flue gas analysis unit automatically captures an infrared sensor image, saves the corresponding image capture angle, and generates a plurality of infrared sensor images; Extracting the content of substances before electrochemical reaction through the first electrochemical sensor module in the flue gas analysis unit in the flue gas loop; Extracting the content of the substance after the electrochemical reaction through the second electrochemical sensor module in the flue gas circuit; Analyze and determine real-time data of the substance content detected by electrochemical detection according to the substance content before the electrochemical reaction and the substance content after the electrochemical reaction; Wherein, the smoke analysis unit includes the first electrochemical sensor module, the infrared smoke detection module and the ultraviolet smoke detection module.

4. The smoke and flue gas adaptive detection method according to claim 1, characterized in that: The real-time data of the substance content detected by electrochemical detection is obtained, and electrochemical information is generated according to the reaction rate and substance content, specifically including: Obtain real-time data on the content of substances detected by electrochemical detection; The content of all electrochemically detected substances is divided into fast-changing substances and slow-changing substances according to the preset classification; Determining whether the fast-changing material satisfies the eighth calculation formula, if so, issuing an overspeed signal, otherwise, no processing is performed; Determine whether the slow-changing material satisfies the ninth calculation formula, and if not, issue an over-limit signal, otherwise, do nothing; The overspeed signal and the overlimit signal are stored together with the corresponding substance names as the electrochemical information, and are wirelessly transmitted to the data transmission module; The eighth calculation formula is: dS1 / dt>A Wherein, t is time, S1 is the content of the fast-changing substance, and A is the lowest threshold value of the fast-changing substance; The ninth calculation formula is: B1>S2>B2 Among them, S2 is the content of the slow-changing substance, B1 is the upper limit of the content of the slow-changing substance, and B2 is the lower limit of the content of the slow-changing substance.

5. The smoke and flue gas adaptive detection method according to claim 1, characterized in that: The determining whether there is an abnormal risk based on the obtained UV signal number, the volume of the overheated area and the electrochemical information, and issuing an alarm signal if there is an abnormal risk, and saving the data if there is no abnormal risk, specifically includes: reading the ultraviolet signal number in the data sending module, and determining whether the ultraviolet signal number is in an abnormal state; When the ultraviolet signal number is in an abnormal state, a first abnormal command is sent, and if it is not received, the command is not processed and continues to be executed; After judging the received electrochemical information in the data sending module, a second abnormal command is sent, and if the second abnormal command is not received, the second abnormal command is not processed and the execution is continued; After receiving the first abnormal command or the second abnormal command, reading the overheating area volume in the current data sending module, and sending a joint analysis command to the cloud data center; After the cloud data center receives the joint analysis command, the cloud data center obtains the ultraviolet signal number, the overheated area volume and the electrochemical information, and determines whether there is an abnormal risk. If so, an alarm signal is issued, and if not, the analysis result is recorded.

6. A smoke and flue gas adaptive detection system, characterized in that: The system includes: A smoke and dust sampling module is used to obtain sample smoke and sample smoke, which pass through the smoke circuit and the smoke circuit in sequence; Flue gas analysis module, used to obtain the ultraviolet pulse signal, infrared sensor image, shooting angle and electrochemical detection substance content of the sample flue gas in real time; An ultraviolet analysis module, used for extracting the ultraviolet pulse signal into a curve form, and comparing it with a preset typical ultraviolet curve to obtain an ultraviolet signal number; The infrared analysis module is used to calculate the volume of the superheated gas area based on all the infrared sensor images and the corresponding image shooting angles; The electrochemical analysis module is used to obtain real-time data of the substance content detected by electrochemical detection and generate electrochemical information according to the reaction rate and substance content; A feature judgment module, used to judge whether there is an abnormal risk according to the obtained UV signal number, the volume of the overheated area and the electrochemical information, and to send out an alarm signal if there is an abnormal risk, and to save the data if there is no abnormal risk; The step of extracting the ultraviolet pulse signal into a curve form and comparing it with a preset typical ultraviolet curve to obtain an ultraviolet signal number specifically includes: Acquire all of the ultraviolet pulse signals and store them in an ultraviolet data storage area in real time; Extracting the amplitude of the latest ultraviolet pulse signal within N seconds from the ultraviolet data storage area, generating a curve according to the change of the amplitude of the ultraviolet pulse signal over time, and saving it as a first ultraviolet curve; Extracting all the typical ultraviolet curves, wherein the typical ultraviolet curves are ultraviolet curves obtained by extracting the ultraviolet pulse signal from data of known gas types in advance, and each of the typical ultraviolet curves is assigned a corresponding number; Calculating the amplitude similarity between the first ultraviolet curve and the typical ultraviolet curve using a first calculation formula; Calculating the frequency similarity ratio between the first ultraviolet curve and the typical ultraviolet curve using a second calculation formula; The comprehensive ultraviolet similarity is calculated using the third calculation formula; Determine the number corresponding to the typical ultraviolet curve when the comprehensive ultraviolet similarity is the largest, save it as the ultraviolet signal number, and transmit it to the data sending module via wireless; The first calculation formula is: S t_i =100%×[(max t Min t )-(me i me i )] / (me i me i ) Among them, S t_i is the amplitude similarity, max t is the maximum amplitude of the first ultraviolet curve at time t, min t is the minimum amplitude of the first ultraviolet curve at time t, ma i is the maximum amplitude of the i-th typical UV curve, mi i is the minimum amplitude of the i-th typical ultraviolet curve; The second calculation formula is: F t =100%×(F s -F i ) / F i Among them, F t is the frequency similarity ratio, F i is the highest frequency value of the i-th typical ultraviolet curve, F s is the frequency value of the highest frequency of the first ultraviolet curve; The third calculation formula is: S=k1F t +k2S t_i Wherein, S is the comprehensive ultraviolet similarity, k1 is the amplitude ratio, and k2 is the frequency ratio; The step of calculating the volume of the superheated gas region based on all the infrared sensor images and the corresponding image shooting angles specifically includes: Extract all the latest infrared detection images within N seconds, and perform grayscale processing on two infrared detection images obtained in the vertical direction of the same area to generate a first grayscale image and a second grayscale image respectively; Calculate a first overheating area using a fourth calculation formula according to the first grayscale image; Calculate a second overheating area using a fifth calculation formula according to the second grayscale image; Calculating an average length using a sixth calculation formula according to the first overheating area and the second overheating area; Calculating the superheated volume using a seventh calculation formula using the first superheated area, the second superheated area and the average length; The superheated volume is saved as the superheated gas area volume, and transmitted to the data sending module via wireless transmission; The fourth calculation formula is: M1=COUNT(H 1_x,y >T) Wherein, M1 is the first overheating area, COUNT() is the counting function of the pixel points, H 1_x,y is the grayscale value corresponding to the horizontal coordinate x and the vertical coordinate y in the first grayscale image, and T is the overheat margin; The fifth calculation formula is: M2=COUNT(H 2_x,y >T) Wherein, M2 is the second superheat area, H 2_x,y is the grayscale value corresponding to the horizontal coordinate x and the vertical coordinate y in the second grayscale image; The sixth calculation formula is: Wherein, L is the average length; The seventh calculation formula is: V=MAX(M1,M2)×L Wherein, V is the superheated volume, and MAX() is a function for extracting the maximum value of a parameter.

7. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 5 when executed by a processor.

8. An analyzer comprising: A flue gas analysis device, a flue gas sampling device, a smoke dust sampling device and a base plate, wherein the base plate is provided with an exhaust nozzle and a drain nozzle, characterized in that the flue gas analysis device is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the flue gas analysis device to implement the method according to any one of claims 1 to 5.

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