Biomass fuel on-line identification system and equipment

Abstract

According to the biomass fuel on-line identification system and device, firstly, biomass optical information is collected through a light emitting unit, a light receiving unit and the like, then feature extraction and calculation are conducted on the optical information, and finally information such as the type and composition of biomass fuel to be detected is output. According to the invention, information such as fuel composition can be rapidly obtained in real time through non-contact measurement, and the method can be used for fuel management and combustion control optimization.

Description

Technical Field

[0001] The present invention relates to the field of biomass fuel quality inspection, and in particular to an online biomass fuel identification system and equipment. Background Art

[0002] Biomass fuel refers to renewable energy that uses plant biomass resources such as crop straw, trees, and grass for energy conversion. With the increasing prominence of energy issues and the enhancement of environmental awareness, the application and development of biomass fuels have received more and more attention. Biomass direct combustion power generation technology is currently the most mature way of biomass energy utilization that can achieve large-scale utilization of biomass. However, due to the wide variety of biomass fuels, different types of biomass fuels have different physical and chemical properties such as lower calorific value, moisture content, ash content, sulfur content, chlorine content, etc., so it is very important to accurately identify and classify biomass fuels and analyze their components.

[0003] At present, the identification, classification and component analysis of biomass fuels are mainly carried out manually, which has problems such as inaccurate identification and low efficiency. In order to solve these problems, it is of great significance to develop an online identification system and equipment for biomass fuels. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a biomass fuel online identification system and equipment, which can quickly and in real time obtain information such as the composition of the fuel through non-contact measurement.

[0005] In the first aspect, the present invention provides a biomass fuel online identification system and equipment, which is composed of a light-emitting unit, a light-receiving unit, a signal acquisition unit, a calculation unit, a storage unit, and an input-output unit, and is characterized in that:

[0006] The light emitting unit is composed of a first light emitting unit, a second light emitting unit and a third light emitting unit. The first light emitting unit emits a first light to the biomass fuel to be measured; the second light emitting unit emits a second light to the biomass fuel to be measured; the third light emitting unit emits a third light to the biomass fuel to be measured, and the light is reflected after reaching the fuel surface;

[0007] The light receiving unit is composed of a first light receiving unit, a second light receiving unit, and a third light receiving unit. The first light receiving unit is used to receive the first light scattered by the surface of the biomass fuel to be tested, and the scattered light reaches the digital image sensor 1 after passing through the adjustable focal length lens group 1, and is converted into a digital signal 1 by the digital image sensor 1; the second light receiving unit is used to receive the second light scattered by the surface of the biomass fuel to be tested, and the light reaches the photoelectric sensor 1 after being transformed by the lens group 2 and is converted into a digital signal 2; the third light receiving unit is used to receive the third light reflected by the surface of the biomass fuel to be tested, and the light reaches the photoelectric sensor 2 after passing through the lens 3 and is converted into a digital signal 3;

[0008] The signal acquisition unit issues an acquisition and transmission signal instruction to collect and transmit digital signal 1, digital signal 2 and digital signal 3;

[0009] In the calculation unit, the calculation model 1 is used to cut, compress, and perform feature extraction calculations on the digital signal 1 to obtain the calculation result 1; the calculation model 2 is used to transform the digital signal 2 from one-dimensional data to two-dimensional data, and then perform feature extraction calculations to obtain the calculation result 2; the calculation model 2 uses the digital signal 3 as the correction value of the one-dimensional data signal 2, and corrects the digital signal 2 before the dimension-up transformation; the calculation model 3 uses the calculation result 1 and the calculation result 2 as the input values ​​of the model 3, and after calculation by the model 3, the calculation result 3 is obtained, and the calculation result 3 is the mass percentage of the types and components of the biomass fuel;

[0010] The storage unit stores data such as relevant parameters of model 1, model 2, model 3, sampling time, digital signal 1, digital signal 2, digital signal 3, calculation result 1, calculation result 2, and calculation result 3;

[0011] The input and output unit includes a switch, a power interface and a data line interface, etc., which provide power for the system and realize data transmission and communication.

[0012] Optionally, the biomass fuel online identification system and equipment are characterized in that the adjustable focus lens group 1 in the first light receiving unit is composed of n lenses (n>2), and the incident light passes through the adjustable focus lens group 1 and is converted into a digital signal 1 by a digital image sensor 1, and the digital signal 1 is RGB data;

[0013] Optionally, the biomass fuel online identification system and equipment are characterized in that the mirror group 2 in the second light receiving unit splits the incident light into a one-dimensional spectrum of 128, 256 or 512 bands, and converts it into data 2 after passing through the photoelectric sensor, and the data 2 is a one-dimensional array containing 128, 256 or 512 data;

[0014] Optionally, the biomass fuel online identification system and device is characterized in that the calculation model 1 cuts the digital signal 1 and cuts RGB into S (S=8 k , k>0) sub-RGB s , then for the sub-RGB s Perform feature extraction and recognition to obtain each sub-RGB s The proportion of type i is 1 / S, and the final accumulation can get the proportion of type i, that is, the calculation result 1;

[0015] Optionally, the biomass fuel online identification system and equipment are characterized in that the calculation model 2 first reads the data signal 2 and the data signal 3, uses the data signal 3 to correct the data signal 2, and then performs a dimensional transformation on the digital signal 2, transforming the data 2 from a one-dimensional array to a two-dimensional array, and then extracting features from the two-dimensional array to obtain feature data, that is, calculation result 2, and inputting the calculation result 1 and the calculation result 2 into the calculation model 3, and the mass ratio of the biomass fuel composition can be obtained through calculation;

[0016] Optionally, the biomass fuel online identification system and equipment are characterized by comprising at least one processor and at least one memory, wherein the memory stores program instructions, and when the program instructions are executed by the at least one processor, the at least one processor implements any one of the above-mentioned method steps.

[0017] According to the biomass fuel online identification system and equipment of the present invention, biomass fuel information is collected through the light-emitting unit and the light-receiving unit, and the biomass fuel information is transmitted to the calculation unit through the signal acquisition unit, and the calculation model is used in the calculation unit to calculate the mass percentage of the biomass fuel type and components. Non-contact measurement is achieved to quickly obtain fuel composition and other information in real time, which can be used for fuel management and combustion control optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of the biomass fuel online identification system and equipment flow provided in the embodiments of the present application.

[0019] Figure 2 This is a schematic diagram of the biomass fuel online identification system and equipment principles provided in the embodiments of the present application.

[0020] Figure 3 This is a schematic diagram of the principle of the light receiving unit in the biomass fuel online identification system and equipment provided in the embodiments of the present application.

[0021] Figure 4 This is a schematic diagram of the principles of the calculation unit in the biomass fuel online identification system and equipment provided in the embodiments of the present application.

[0022] Figure 5 This is a schematic diagram of the overall structure of the biomass fuel online identification system and equipment provided in the embodiment of the present application. DETAILED DESCRIPTION

[0023] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementations. The following examples or drawings are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0024] Figure 1 This is a flow chart of the biomass fuel online identification system and equipment provided in the embodiment of the present application. Figure 1 First, the biomass optical information is collected through the light-emitting unit and the light-receiving unit, and then the features of the optical information are extracted and calculated, and finally the type and composition of the biomass fuel to be tested are output.

[0025] See also Figure 2 The biomass fuel online identification system and device provided in the embodiment of the present application are composed of a light emitting unit 200, a light receiving unit 300, a signal acquisition unit 400, a calculation unit 500, a storage unit 600 and an input and output unit 700.

[0026] The light emitting unit 200 includes a first light emitting unit 201, a second light emitting unit 202 and a third light emitting unit 203, wherein the first light emitting unit 201 emits a first light, such as a blue or green light, to the biomass fuel to be measured; the second light emitting unit 202 emits a second light, such as a light of 800-1500nm, to the biomass fuel to be measured; the third light emitting unit 203 emits a third light, such as a laser, to the biomass fuel to be measured, and the light is reflected after reaching the fuel surface;

[0027] See also Figure 3 The light receiving unit 300 includes a first light receiving unit 301, a second light receiving unit 302 and a third light receiving unit 303, wherein the first light receiving unit 301 is used to receive light emitted by the first light emitting unit 201 scattered by the surface of the biomass fuel to be tested, and the scattered light reaches the digital image sensor 3012 after passing through the adjustable focal length lens group 3011, and is converted into a digital signal 1 by the digital image sensor 3012; the second light receiving unit 302 is used to receive light emitted by the second light emitting unit 202 scattered by the surface of the biomass fuel to be tested, and the light reaches the photoelectric sensor 3022 after being transformed by the lens group 3021 and is converted into a digital signal 2; the third light receiving unit 303 is used to receive light emitted by the third light emitting unit 203 reflected by the surface of the biomass fuel to be tested, and the light reaches the photoelectric sensor 3032 after passing through the lens 3031 and is converted into a digital signal 3;

[0028] The signal acquisition unit 400 issues an acquisition and transmission signal instruction to collect and transmit digital signal 1, digital signal 2 and digital signal 3;

[0029] See also Figure 4 , the calculation unit 500 includes a calculation model 501, a calculation model 502 and a calculation model 503, wherein the calculation model 501 uses algorithms such as support vector machine (SVM) or neural network to cut, compress, and extract features of digital signal 1 to obtain calculation result 1; the calculation model 502 uses algorithms such as convolutional neural network (CNN) to transform digital signal 2 from one-dimensional data to two-dimensional data, and then performs feature extraction calculation to obtain calculation result 2; the calculation model 502 uses digital signal 3 as a correction value of the one-dimensional data signal 2, and corrects the digital signal 2 before the dimension transformation; the calculation model 503 uses a deep learning algorithm, and uses calculation result 1 and calculation result 2 as input values ​​of model 503. After calculation by model 503, calculation result 3 is obtained, and calculation result 3 is the mass percentage of the types and components of biomass fuel;

[0030] The storage unit 600 stores data such as the relevant parameters of the models 501, 502, and 503, as well as the sampling time, the digital signal 1, the digital signal 2, the digital signal 3, the calculation result 1, the calculation result 2, and the calculation result 3;

[0031] The input / output unit 700 includes a switch, a power interface, and a data line interface, etc., to provide power to the system and realize data transmission and communication;

[0032] Optionally, the adjustable focus lens group 3011 in the first light receiving unit is composed of n lenses (n>2), and the incident light passes through the adjustable focus lens group 3011 and is converted into a digital signal 1 by a digital image sensor 3012, and the digital signal 1 is RGB data;

[0033] Optionally, the mirror group 3021 in the second light receiving unit splits the incident light into a one-dimensional spectrum of 128, 256 or 512 bands, and converts it into data 2 after passing through the photoelectric sensor 3022. The data 2 is a one-dimensional array containing 128, 256 or 512 data;

[0034] Optionally, the calculation model 1 cuts the digital signal 1 and cuts RGB into S (S=8 k , k>0) sub-RGB s , then for the sub-RGB s Perform feature extraction and recognition to obtain each sub-RGB s The proportion of type i is 1 / S, and the final accumulation can get the proportion of type i, that is, the calculation result 1;

[0035] Optionally, the calculation model 502 first reads the data signal 2 and the data signal 3, uses the data signal 3 to correct the data signal 2, and then performs a dimensional transformation on the digital signal 2, transforming the data 2 from a one-dimensional array to a two-dimensional array, and then extracting features from the two-dimensional array to obtain feature data, i.e., calculation result 2, and inputs the calculation result 1 and the calculation result 2 into the calculation model 503, and the mass ratio of the biomass fuel composition can be obtained through calculation;

[0036] Figure 5 This is a schematic diagram of the overall structure of the biomass fuel online identification device provided in the embodiment of the present application. Figure 5 The biomass fuel data collector 10 includes a power switch 11, a power interface 12 and a network cable interface 13; the biomass fuel data switch 20 includes a power interface 21 and a network cable interface 22; the biomass fuel data processor 30 includes a power interface 31, a No. 1 network cable interface 32 and a power switch 33 (located on the back panel).

[0037] The biomass fuel data collector 10 is connected to the biomass fuel data switch 20 via a network cable, the biomass fuel data processor 30 can be connected to the biomass fuel data switch 20 via a network cable, and the computer end is connected to the biomass fuel data switch 20 via a network cable 40.

[0038] The biomass fuel data collector 10 collects optical information of biomass fuel in real time; transmits the collected optical information to the biomass fuel switch 20 via a network cable; the biomass fuel data processor 30 connects to the biomass fuel data switch 20 via a network cable to obtain optical information and perform feature extraction and calculation, determine the type of biomass fuel, the content of each component and other information and store them; the biomass fuel data processor 30 transmits the type of biomass fuel, the content of each component and other information to the computer through the biomass data switch 20; finally, the computer outputs the type, composition and other information of the biomass fuel to be tested.

[0039] The above is only a specific implementation of the embodiment of the present application. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the embodiment of the present application, which should be included in the protection scope of the embodiment of the present application. The protection scope of the embodiment of the present application shall be based on the protection scope of the claims.

Claims

1. A biomass fuel online identification system and equipment, consisting of a light-emitting unit, a light-receiving unit, a signal acquisition unit, a calculation unit, a storage unit, and an input-output unit, etc., characterized in that: 1.1 The light emitting unit is composed of a first light emitting unit, a second light emitting unit and a third light emitting unit. The first light emitting unit emits a first light to the biomass fuel to be measured; the second light emitting unit emits a second light to the biomass fuel to be measured; the third light emitting unit emits a third light to the biomass fuel to be measured, and the light is reflected after reaching the fuel surface; 1.2 The light receiving unit is composed of a first light receiving unit, a second light receiving unit, and a third light receiving unit. The first light receiving unit is used to receive the first light scattered by the surface of the biomass fuel to be tested. The scattered light reaches the digital image sensor 1 after passing through the adjustable focal length lens group 1 and is converted into a digital signal 1 by the digital image sensor 1; the second light receiving unit is used to receive the second light scattered by the surface of the biomass fuel to be tested. After being transformed by the lens group 2, the light reaches the photoelectric sensor 1 and is converted into a digital signal 2; the third light receiving unit is used to receive the third light reflected by the surface of the biomass fuel to be tested. The light reaches the photoelectric sensor 2 after passing through the lens group 3 and is converted into a digital signal 3; 1.3 The signal acquisition unit issues a signal acquisition and transmission instruction to collect and transmit digital signal 1, digital signal 2 and digital signal 3; In the calculation unit described in 1.4, the calculation model 1 is used to perform cutting, compression, and feature extraction calculation on the digital signal 1 to obtain the calculation result 1; the calculation model 2 is used to transform the digital signal 2 from one-dimensional data to two-dimensional data, and then perform feature extraction calculation to obtain the calculation result 2; the calculation model 2 uses the digital signal 3 as the correction value of the one-dimensional data signal 2, and corrects the digital signal 2 before the dimension transformation; the calculation model 3 uses the calculation result 1 and the calculation result 2 as the input values ​​of the calculation model 3, and after calculation by the calculation model 3, the calculation result 3 is obtained, and the calculation result 3 is the mass percentage of the types and components of the biomass fuel; The storage unit described in 1.5 stores the relevant parameters of calculation model 1, calculation model 2, calculation model 3, sampling time, digital signal 1, digital signal 2, digital signal 3, calculation result 1, calculation result 2 and calculation result 3 and other data; 1.6 The input and output unit described above includes a switch, a power interface, and a data line interface, etc., which provide power to the system and realize data transmission and communication.

2. The biomass fuel online identification system and equipment according to claim 1.2 is characterized in that: The adjustable focus lens group 1 in the first light receiving unit is composed of n lenses (n>2). After the incident light passes through the adjustable focus lens group 1, it is converted into a digital signal 1 by the digital image sensor 1. The digital signal 1 is RGB data.

3. The biomass fuel online identification system and equipment according to claim 1.2 is characterized in that: The mirror group 2 in the second light receiving unit splits the incident light into a one-dimensional spectrum of 128, 256 or 512 bands, which is converted into data 2 after passing through the photoelectric sensor. The data 2 is a one-dimensional array containing 128, 256 or 512 data.

4. The biomass fuel online identification system and equipment according to claim 1.4 is characterized in that: The calculation model 1 cuts the digital signal 1 into S (S=8 k , k>0) sub-RGB s , then for the sub-RGB s Perform feature extraction and recognition to obtain each sub-RGB s The proportion of type i is 1 / S. The final accumulation is the proportion of type i, which is the calculation result 1.

5. The biomass fuel online identification system and equipment according to claim 1.4 is characterized in that: The calculation model 2 first reads the data signal 2 and the data signal 3, uses the data signal 3 to correct the data signal 2, and then performs a dimensionality increase transformation on the digital signal 2, transforming the data 2 from a one-dimensional array into a two-dimensional array, and then extracting features from the two-dimensional array to obtain feature data, namely, the calculation result 2, and inputs the calculation result 1 and the calculation result 2 into the calculation model 3, and the mass ratio of the biomass fuel composition can be obtained through calculation.

6. The biomass fuel online identification system and equipment according to claim 1, characterized in that: The method comprises at least one processor and at least one memory, wherein the memory stores program instructions, and when the program instructions are executed by the at least one processor, the at least one processor implements the method steps described in any one of claims 1 to 5.

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