Biomass feeding metering system and method based on bin weighing

Abstract

This application relates to a biomass feeding and metering system and method based on silo weighing. The biomass feeding and metering system includes a biomass silo, a screw conveyor, a silo weighing sensor, a process control system, and a computer system. The metering method based on the biomass feeding and metering system includes the following steps: the silo weighing sensor measures the silo and biomass in real time; the screw conveyor transports the biomass to the next process stage; and during this process, the process control system performs real-time online data analysis and calculation on the silo weighing sensor signal to realize the metering of the instantaneous feeding rate.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of weighing equipment, in particular to a biomass feeding metering system and method based on silo weighing. BACKGROUND

[0002] Energy and environmental problems in the world today are global concerns and urgent needs to be solved. With the exploitation of conventional energy such as coal, oil, natural gas and other fossil energy, these energy is consumed in large quantities, gradually reduced, while also bringing increasingly serious environmental problems. Especially in recent years, the global warming problem has attracted much attention, which is largely caused by the burning of fossil fuels to emit large amounts of CO2 and other greenhouse gases. An effective way to change this situation is to develop and utilize new energy resources such as biomass, solar and wind energy. Biomass energy refers to the energy that is directly or indirectly converted into chemical energy by photosynthesis of green plants and stored in the body. Biomass energy is different from conventional fossil energy and is one of the most important renewable energy sources for human beings.

[0003] In the process of large-scale utilization of biomass, biomass feeding metering plays an important role in the utilization of biomass energy. It is found in production practice that due to the small density of biomass, when using traditional belt scale, screw weighing feeder and other measuring devices, the measurement error is large, which is not conducive to maintaining stable working conditions of the biomass reaction system, and seriously affects the safety of the system.

[0004] At present, there is no effective solution to the problem that the biomass feeding rate cannot be accurately measured in the biomass feeding process in the related art. SUMMARY

[0005] The embodiments of the present application provide a biomass feeding metering system and method based on silo weighing, to at least solve the problem that the biomass feeding rate cannot be accurately measured in the biomass feeding process in the related art.

[0006] In a first aspect, the embodiments of the present application provide a biomass feeding metering system based on silo weighing, which comprises a biomass silo, a silo weighing sensor and a process control system.

[0007] The silo weighing sensor is installed on the fixed platform of the biomass silo, and is used to collect weight data of the biomass silo in real time.

[0008] The process control system is connected to the weighing sensor through a data cable, and is used to calculate the feeding rate of the biomass silo.

[0009] In some embodiments, the system further includes a screw conveyor, one end of which is connected to the biomass silo and the other end of which is connected to the biomass reactor, for conveying biomass from the biomass silo to the biomass reactor.

[0010] In some embodiments, the system further includes a computer system connected to the process control system via an industrial Ethernet network for receiving and displaying data processed by the process control system.

[0011] Secondly, embodiments of this application provide a method for calculating the biomass feeding rate based on bin weighing, wherein the method is applied to the biomass feeding metering system based on bin weighing as described in any one of the first aspects, and the method includes:

[0012] During the period when no biomass silo is being fed, the feeding rate of the biomass silo is calculated using the first rate calculation method.

[0013] During the feeding process of the biomass silo, the feeding rate of the biomass silo is calculated using a second rate calculation method.

[0014] In some embodiments, the conveyor belt running signal is used as the trigger condition for switching between the first rate calculation method and the second rate calculation method:

[0015] If no signal of the feeding belt is detected, the feeding rate is calculated using the first rate calculation method.

[0016] When the feed belt running signal is detected, the feeding rate is calculated using the second rate calculation method.

[0017] In some embodiments, when the biomass silo is not being fed, calculating the feeding rate of the biomass silo using a first rate calculation method includes:

[0018] During the period when no biomass silo is being fed, the process control system collects the weight data of the biomass silo in real time through the weighing sensor.

[0019] The real-time collected weight data is filtered, and the rate of change is calculated based on the processed weight data to obtain the feeding rate.

[0020] In some embodiments, the feed rate is calculated based on the rate of change of the processed weight data, including:

[0021] The weight data is output with lag through the Lag function program in the process control system.

[0022] Perform a difference calculation between the currently collected weight data and the weight data processed by the hysteresis output;

[0023] The feed rate is obtained by dividing the difference by the hysteresis time set in the Lag function program.

[0024] In some embodiments, calculating the rate of change based on the processed weight data to obtain the feeding rate further includes:

[0025] Based on the real-time collected weight data, the weight change rate ΔG is obtained through differential calculation. The weight change rate ΔG is used as the reference quantity of the feeding rate V. Then, based on the fixed deviation V0 obtained from actual verification, the feeding rate V = ΔG + V0 is obtained.

[0026] In some embodiments, during the feeding process of the biomass silo, the feeding rate of the biomass silo is calculated using a second rate calculation method, including:

[0027] During the feeding process of the biomass silo, the corresponding feeding rate V1 is calculated based on the motor speed of the screw conveyor.

[0028] In some embodiments, calculating the corresponding feed rate V1 based on the motor speed of the screw conveyor includes:

[0029] Collect the motor speed c of the screw conveyor;

[0030] During the process of not feeding the biomass silo, the calculation coefficient K = ΔG / c + f(c) is calculated, where ΔG is the rate of weight change calculated by differentiation based on the real-time collected weight data, and f(c) is the correction function of the calculation coefficient K corresponding to the motor speed c of different screw conveyors.

[0031] Then, the corresponding feed rate V1 can be calculated using the formula V1=K×c.

[0032] Compared to related technologies, the embodiments of this application provide a biomass feeding and metering system and method based on silo weighing. The biomass feeding and metering system is composed of a biomass silo, a screw conveyor, a silo weighing sensor, a process control system, and a computer system. The metering method includes the following steps: the silo weighing sensor measures the silo and biomass in real time; the screw conveyor transports the biomass to the next process stage; during this process, the process control system performs real-time online data analysis and calculation on the silo weighing sensor signal to realize the metering of the instantaneous feeding rate. Attached Figure Description

[0033] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0034] Figure 1 This is a structural block diagram of a biomass feeding and metering system based on bin weighing according to an embodiment of this application;

[0035] Figure 2 This is a schematic flowchart illustrating the calculation of the feed rate according to an embodiment of this application;

[0036] Figure 3 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0038] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0039] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0040] Unless otherwise defined, the technical or scientific terms used in this application shall have the ordinary meaning understood by one of ordinary skill in the art to which this application pertains. The terms “a,” “an,” “an,” “the,” and similar words used in this application do not indicate quantity limitation and may indicate singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units not listed, or may include other steps or units inherent to these processes, methods, products, or devices. The terms “connected,” “linked,” “coupled,” and similar words used in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following objects are in an "or" relationship. The terms "first," "second," and "third" used in this application are merely to distinguish similar objects and do not represent a specific ordering of the objects.

[0041] This application provides a biomass feeding and metering system based on bin weighing. Figure 1 This is a structural block diagram of a biomass feeding and metering system based on bin weighing according to an embodiment of this application, as shown below. Figure 1 As shown, the system includes a biomass silo, a silo weighing sensor, and a process control system. The system also includes a screw conveyor and a computer system.

[0042] The weighing sensor of the biomass silo is installed on a fixed platform to collect the weight data of the biomass silo in real time.

[0043] It should be noted that the silo weighing sensor is a weighing device that is actually installed at a fixed point in the silo and can provide measurement information such as the weight of the silo.

[0044] The process control system is connected to the weighing sensor via a data cable to calculate the feeding rate of the biomass silo.

[0045] It should be noted that a process control system is a programmable controller that can execute instructions such as logical operations, arithmetic operations, timing, counting, and complex functions according to pre-programmed and downloaded programs stored in its internal memory. It can also detect and / or control various types of equipment through digital or analog input / output signals to achieve certain control functions.

[0046] One end of the screw conveyor is connected to the biomass silo, and the other end is connected to the biomass reactor. It is used to transport biomass from the biomass silo to the biomass reactor.

[0047] The computer system is connected to the process control system via industrial Ethernet to receive and display data processed by the process control system.

[0048] It should be noted that Industrial Ethernet is an Ethernet technology applied in the field of industrial control. It can meet the needs of industrial sites in terms of material selection, product strength, applicability, real-time performance, interoperability, reliability, anti-interference, and intrinsic safety.

[0049] This application provides a method for calculating the biomass feeding rate based on bin weighing. The method is applied to the aforementioned biomass feeding metering system based on bin weighing. The method includes:

[0050] When no biomass feed is being fed into the biomass silo, the feeding rate of the biomass silo is calculated using the first rate calculation method.

[0051] Specifically, the feeding belt operation signal is used as the trigger condition for switching between the first rate calculation method and the second rate calculation method. When no feeding belt operation signal is detected, the feeding rate is calculated using the first rate calculation method. Specifically, the process control system collects the weight data of the biomass silo in real time through the weighing sensor; the real-time collected weight data is filtered, and the rate of change is calculated based on the processed weight data to obtain the feeding rate.

[0052] Optionally, Figure 2 This is a schematic flowchart illustrating the calculation of the feed rate according to an embodiment of this application, as shown below. Figure 2 As shown, the Lag function program in the process control system performs a lag output calculation on the weight data, calculates the difference between the currently collected weight data and the weight data after the lag output calculation, and divides the difference by the lag time set in the Lag function program to obtain the feeding rate.

[0053] Optionally, based on the real-time collected weight data, the weight change rate ΔG is obtained through differential calculation. The weight change rate ΔG is used as the reference quantity of the feeding rate V. Then, based on the fixed deviation V0 obtained from actual verification, the feeding rate V = ΔG + V0 is obtained.

[0054] During the feeding process of the biomass silo, the feeding rate of the biomass silo is calculated using the second rate calculation method.

[0055] Specifically, the feeding belt running signal is used as the trigger condition for switching between the first and second rate calculation methods. When the feeding belt running signal is detected, the feeding rate is calculated using the second rate calculation method. Specifically, the corresponding feeding rate V1 is calculated based on the motor speed of the screw conveyor. For example, assuming the motor speed of the screw conveyor is 20 revolutions / second and each revolution corresponds to a feeding amount of 0.05 grams, the feeding rate is 1 gram / second.

[0056] Preferably, the motor speed c of the screw conveyor is collected, and the calculation coefficient K = ΔG / c + f(c) is calculated when there is no feeding of biomass silo. Here, ΔG is the weight change rate obtained by differential calculation based on the real-time collected weight data, and f(c) is the correction function of the calculation coefficient K corresponding to different motor speeds c of screw conveyors. Then, the corresponding feeding rate V1 is calculated by the formula V1 = K × c.

[0057] This embodiment also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0058] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0059] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0060] Furthermore, in conjunction with the biomass feeding rate calculation method based on silo weighing in the above embodiments, this application embodiment can provide a storage medium for implementation. This storage medium stores a computer program; when executed by a processor, the computer program implements any of the biomass feeding rate calculation methods based on silo weighing in the above embodiments.

[0061] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, memory, a network interface, a display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it implements a method for calculating the biomass feeding rate based on silo weighing. The display screen may be a liquid crystal display (LCD) or an e-ink display. The input devices may be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse.

[0062] In one embodiment, Figure 3 This is a schematic diagram of the internal structure of an electronic device according to an embodiment of this application, such as... Figure 3 As shown, an electronic device is provided, which can be a server, and its internal structure diagram can be as follows. Figure 3 As shown, the electronic device includes a processor, a network interface, internal memory, and non-volatile memory connected via an internal bus. The non-volatile memory stores the operating system, computer programs, and a database. The processor provides computing and control capabilities, the network interface communicates with external terminals via a network, the internal memory provides the environment for the operating system and computer programs to run, and the computer programs, when executed by the processor, implement a method for calculating the biomass feeding rate based on silo weighing. The database stores the data.

[0063] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0064] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0065] Those skilled in the art should understand that the technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments have been described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0066] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A biomass feeding and metering system based on bin weighing, characterized in that, The system includes a biomass silo, a silo weighing sensor, and a process control system. The weighing sensor of the silo is installed on a fixed platform of the biomass silo and is used to collect the weight data of the biomass silo in real time. The process control system is connected to the weighing sensor via a data cable and is used to calculate the feeding rate of the biomass silo. The conveyor belt running signal is used as the trigger condition for switching between the first and second rate calculation methods: When no feeding belt operation signal is detected, the process control system collects the weight data of the biomass silo in real time through the weighing sensor; the real-time collected weight data is filtered, and the rate of change is calculated based on the processed weight data to obtain the feeding rate; When the feeding belt operation signal is detected, the process control system calculates the corresponding feeding rate V1 based on the motor speed c of the screw conveyor and the formula V1=K×c. Here, K=ΔG / c+f(c) is the calculation coefficient obtained when no biomass silo is being fed, ΔG is the weight change rate obtained by differential calculation based on real-time collected weight data, and f(c) is the correction function of the calculation coefficient K corresponding to different motor speeds c of the screw conveyor.

2. The system according to claim 1, characterized in that, The system also includes a screw conveyor, one end of which is connected to the biomass silo and the other end of which is connected to the biomass reactor, for conveying biomass from the biomass silo to the biomass reactor.

3. The system according to claim 1, characterized in that, The system also includes a computer system connected to the process control system via an industrial Ethernet network, which is used to receive and display data processed by the process control system.

4. A method for calculating the biomass feeding rate based on bin weighing, characterized in that, The method is applied to the biomass feeding and metering system based on bin weighing as described in any one of claims 1 to 3.

5. The method according to claim 4, characterized in that, The feed rate is calculated based on the rate of change of the processed weight data, including: The weight data is output with lag through the Lag function program in the process control system. Perform a difference calculation between the currently collected weight data and the weight data processed by the hysteresis output; The feed rate is obtained by dividing the difference by the hysteresis time set in the Lag function program.

6. The method according to claim 4, characterized in that, The feed rate is further calculated based on the rate of change of the processed weight data, including: Based on the real-time collected weight data, the weight change rate ΔG is obtained through differential calculation. The weight change rate ΔG is used as the reference quantity of the feeding rate V. Then, based on the fixed deviation V0 obtained from actual verification, the feeding rate V = ΔG + V0 is obtained.

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