Single-fan multi-chamber waste incinerator bed thickness detection method and device

Abstract

The present application relates to the field of garbage disposal, and discloses a single-fan-multiple-air-chamber garbage incinerator layer thickness detection method and device, which is used for improving the accuracy of layer thickness detection.The method comprises the following steps: obtaining the first drying fan rotating speed, the first hearth negative pressure data and the incinerator size parameters of the garbage incinerator to be detected; setting the initial delay time according to the incinerator size parameters, and performing data alignment processing on the first drying fan rotating speed and the first hearth negative pressure data according to the initial delay time to obtain the second drying fan rotating speed and the second hearth negative pressure data; calculating the correlation coefficient of the second drying fan rotating speed and the second hearth negative pressure data, and generating the target delay time according to the correlation coefficient; calculating the initial layer thickness resistance of the garbage incinerator to be detected according to the target delay time and the second hearth negative pressure data; and performing sliding average processing on the initial layer thickness resistance to obtain the target layer thickness resistance.

Description

Technical Field

[0001] This invention relates to the field of waste treatment, and in particular to a method and related apparatus for detecting the thickness of the feed layer in a single-fan, multi-chamber waste incinerator. Background Technology

[0002] Waste-to-energy plants use bed thickness resistance signals to measure the thickness of waste on the grate surface and ventilation. Currently, the waste thickness resistance is calculated based on the differential pressure and primary air flow rate above and below the grate. When the fan changes little, the bed thickness can be accurately measured. However, large fluctuations in fan speed and frequent fan operation can severely affect the air pressure and primary air flow rate in the air chamber below the grate. In this case, the calculated bed thickness will deviate significantly from the actual value, causing considerable disturbance to the airflow control on both sides of the grate, the sliding grate control, and the feeding grate control, seriously affecting the stability of combustion. Existing methods using differential pressure calculation all suffer from this problem. Therefore, it is necessary to correct the calculated bed thickness resistance value.

[0003] The resistance calculation for the material bed thickness is primarily determined by the pressure difference between the air chamber below the grate and the negative pressure in the furnace. However, changes in fan speed directly affect the pressure in the air chamber below the grate. At this point, the furnace negative pressure remains the same as before the change in the drying fan pressure, with relatively small fluctuations. The calculated differential pressure is the difference between the changed air chamber pressure and the pressure that did not follow the change in air supply, resulting in significant fluctuations. When the fan speed increases substantially, the pressure in the air chamber below the grate also increases significantly, but the induced draft fan remains unchanged, and the furnace negative pressure remains the same as before. The calculated differential pressure then suddenly increases. Analysis of the above results shows that there is a lag between the pressure in the air chamber below the grate and the furnace negative pressure, leading to significant variations in the calculated differential pressure, indicating low accuracy of the current method. Summary of the Invention

[0004] This invention provides a method and related device for detecting the bed thickness in a single-fan, multi-chamber waste incinerator, which improves the accuracy of bed thickness detection.

[0005] The first aspect of this invention provides a method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator. The method includes: acquiring the rotational speed of a first drying fan, data on the negative pressure of a first furnace chamber, and the size parameters of the incinerator; setting an initial delay time based on the furnace size parameters, and performing data alignment processing on the rotational speed of the first drying fan and the negative pressure of the first furnace chamber based on the initial delay time to obtain data on the rotational speed of a second drying fan and the negative pressure of the second furnace chamber; calculating the correlation coefficient between the rotational speed of the second drying fan and the negative pressure of the second furnace chamber, and generating a target delay time based on the correlation coefficient; calculating the initial bed thickness resistance of the waste incinerator based on the target delay time and the negative pressure of the second furnace chamber; and performing a moving average processing on the initial bed thickness resistance to obtain the target bed thickness resistance.

[0006] Optionally, in a first implementation of the first aspect of the present invention, the step of setting an initial delay time based on the incinerator size parameter and performing data alignment processing on the first drying fan speed and the first furnace negative pressure data based on the initial delay time to obtain second drying fan speed and second furnace negative pressure data includes: setting an initial delay time for the waste incinerator to be tested based on the incinerator size parameter; performing time axis advance processing on the first furnace negative pressure data based on the initial delay time to obtain standard furnace negative pressure data; and performing data alignment on the first drying fan speed and the standard furnace negative pressure data to obtain second drying fan speed and second furnace negative pressure data.

[0007] Optionally, in a second implementation of the first aspect of the present invention, the step of calculating the correlation coefficient between the second drying fan speed and the second furnace negative pressure data, and generating a target delay time based on the correlation coefficient, includes: calling a preset correlation coefficient function to calculate the correlation coefficient between the second drying fan speed and the second furnace negative pressure data; extracting the maximum value among the correlation coefficients to obtain the maximum correlation coefficient; obtaining the timestamp corresponding to the maximum correlation coefficient, and using the timestamp as the target delay time of the waste incinerator to be tested.

[0008] Optionally, in a third implementation of the first aspect of the present invention, the step of calculating the initial bed thickness resistance of the waste incinerator under test based on the target delay time and the second furnace negative pressure data includes: calculating the average pressure of the air chamber below the grate in the drying section of the waste incinerator under test, the primary air volume in the drying section, and the drying air temperature based on the target delay time; obtaining the horizontal projected area of ​​the grate in the drying section of the waste incinerator under test; calling a preset bed thickness resistance calculation function and calculating the initial bed thickness resistance of the waste incinerator under test based on the second furnace negative pressure data, the average pressure of the air chamber below the grate in the drying section, the primary air volume in the drying section, the drying air temperature, and the horizontal projected area of ​​the grate in the drying section.

[0009] Optionally, in a fourth implementation of the first aspect of the present invention, the step of performing a moving average process on the initial material layer thickness resistance to obtain the target material layer thickness resistance includes: calling a preset moving average function to smooth the initial material layer thickness resistance to obtain the target material layer thickness resistance.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, the material layer thickness resistance calculation function is:

[0011]

[0012] Among them, H (k) P represents the initial material layer thickness resistance at time k. (k-τ) P represents the average pressure in the air chamber below the grate in the drying section. 0(k) Q represents the negative pressure data of the second furnace. (k-τ) This indicates the primary air volume in the drying section, in tons. (k-τ) C represents the drying air temperature, and C represents the horizontal projected area of ​​the grate in the drying section.

[0013] Optionally, in a sixth implementation of the first aspect of the present invention, the correlation coefficient function may be a Pearson correlation coefficient function or a Spearman correlation coefficient function.

[0014] A second aspect of the present invention provides a device for detecting the bed thickness of a single-fan-multi-chamber waste incinerator. The device comprises: an acquisition module for acquiring the rotational speed of a first drying fan, the negative pressure data of a first furnace, and the size parameters of the incinerator; a processing module for setting an initial delay time based on the incinerator size parameters, and performing data alignment processing on the first drying fan rotational speed and the first furnace negative pressure data based on the initial delay time to obtain second drying fan rotational speed and second furnace negative pressure data; a generation module for calculating the correlation coefficient between the second drying fan rotational speed and the second furnace negative pressure data, and generating a target delay time based on the correlation coefficient; a calculation module for calculating the initial bed thickness resistance of the waste incinerator based on the target delay time and the second furnace negative pressure data; and an output module for performing a moving average processing on the initial bed thickness resistance to obtain the target bed thickness resistance.

[0015] Optionally, in a first implementation of the second aspect of the present invention, the processing module is specifically used to: set an initial delay time for the waste incinerator to be tested based on the incinerator size parameter; perform time axis preprocessing on the first furnace negative pressure data according to the initial delay time to obtain standard furnace negative pressure data; and align the first drying fan speed and the standard furnace negative pressure data to obtain second drying fan speed and second furnace negative pressure data.

[0016] Optionally, in a second implementation of the second aspect of the present invention, the generation module is specifically used to: call a preset correlation coefficient function to calculate the correlation coefficient between the second drying fan speed and the second furnace negative pressure data; extract the maximum value among the correlation coefficients to obtain the maximum correlation coefficient; obtain the timestamp corresponding to the maximum correlation coefficient, and use the timestamp as the target delay time of the waste incinerator to be tested.

[0017] Optionally, in a third implementation of the second aspect of the present invention, the calculation module is specifically used to: calculate the average pressure of the air chamber below the grate in the drying section of the waste incinerator to be tested, the primary air volume in the drying section, and the drying air temperature based on the target delay time; obtain the horizontal projected area of ​​the grate in the drying section of the waste incinerator to be tested; call a preset material layer thickness resistance calculation function and calculate the initial material layer thickness resistance of the waste incinerator to be tested based on the second furnace negative pressure data, the average pressure of the air chamber below the grate in the drying section, the primary air volume in the drying section, the drying air temperature, and the horizontal projected area of ​​the grate in the drying section.

[0018] Optionally, in a fourth implementation of the second aspect of the present invention, the output module is specifically used to: call a preset moving average function to smooth the initial material layer thickness resistance, thereby obtaining the target material layer thickness resistance.

[0019] Optionally, in a fifth implementation of the second aspect of the present invention, the material layer thickness resistance calculation function is:

[0020]

[0021] Among them, H (k) P represents the initial material layer thickness resistance at time k. (k-τ) P represents the average pressure in the air chamber below the grate in the drying section. 0(k) Q represents the negative pressure data of the second furnace. (k-τ) This indicates the primary air volume in the drying section, in tons. (k-τ) C represents the drying air temperature, and C represents the horizontal projected area of ​​the grate in the drying section.

[0022] Optionally, in a sixth implementation of the second aspect of the present invention, the correlation coefficient function may be a Pearson correlation coefficient function or a Spearman correlation coefficient function.

[0023] A third aspect of the present invention provides a single-fan-multi-chamber waste incinerator bed thickness detection device, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor invokes the instructions in the memory to cause the single-fan-multi-chamber waste incinerator bed thickness detection device to perform the above-described single-fan-multi-chamber waste incinerator bed thickness detection method.

[0024] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator.

[0025] The technical solution provided by this invention involves acquiring the rotational speed of a first drying fan, the negative pressure data of a first furnace, and the size parameters of the incinerator to be tested; setting an initial delay time based on the incinerator size parameters, and performing data alignment processing on the rotational speed of the first drying fan and the negative pressure data of the first furnace based on the initial delay time to obtain the rotational speed of a second drying fan and the negative pressure data of the second furnace; calculating the correlation coefficient between the rotational speed of the second drying fan and the negative pressure data of the second furnace, and generating a target delay time based on the correlation coefficient; calculating the initial bed thickness resistance of the incinerator to be tested based on the target delay time and the negative pressure data of the second furnace; and performing a moving average processing on the initial bed thickness resistance to obtain the target bed thickness resistance. This invention improves the accuracy of bed thickness detection by online calculation of the time delay between the air pressure in the air chamber below the grate and the negative pressure in the furnace through time delay estimation of the correlation coefficient. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of an embodiment of the method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator according to the present invention;

[0027] Figure 2 This is a schematic diagram of an embodiment of the single-fan-multi-chamber waste incinerator bed thickness detection device according to the present invention;

[0028] Figure 3 This is a schematic diagram of an embodiment of the single-fan-multi-chamber waste incinerator material layer thickness detection device according to the present invention. Detailed Implementation

[0029] This invention provides a method and related apparatus for detecting the bed thickness in a single-fan, multi-chamber waste incinerator, to improve the accuracy of bed thickness detection. The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0030] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1One embodiment of the method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator according to the present invention includes:

[0031] 101. Obtain the speed of the first drying fan, the negative pressure data of the first furnace, and the size parameters of the incinerator under test;

[0032] It is understood that the executing entity of this invention can be a single-fan-multi-chamber waste incinerator bed thickness detection device, or it can be a terminal or a server; the specific implementation is not limited here. This embodiment of the invention will be described using a server as an example.

[0033] It should be noted that the protruding exhaust pipes on the inner wall of the waste incinerator create an uneven surface, preventing the waste near the inner wall from becoming compacted and hardened. This creates numerous gaps, facilitating gas flow and aiding in drying and combustion. Additionally, the cover on the gas guide pipes disperses the waste during feeding, altering its trajectory and preventing central compaction. The gas guide pipes form a channel, naturally guiding the hot gas (less dense than cold gas) from the lower part of the incinerator to the upper part. The heat radiation and conduction from the gas guide pipes, along with the direct contact between the hot gas and the cold waste above, pre-dry the waste. Pre-dried waste is easier to burn later, and dry waste is less likely to clump. Specifically, the server obtains the speed of the first drying fan and the negative pressure of the first furnace of the waste incinerator under test through the speed sensor and pressure sensor in the waste incinerator, and obtains the size parameters of the incinerator corresponding to the waste incinerator under test from the preset database.

[0034] 102. Set the initial delay time according to the size parameters of the incinerator, and perform data alignment processing on the first drying fan speed and the first furnace negative pressure data according to the initial delay time to obtain the second drying fan speed and the second furnace negative pressure data.

[0035] Specifically, the initial delay time of the waste incinerator to be tested is set based on the size parameter of the incinerator; the time axis of the first furnace negative pressure data is preprocessed according to the initial delay time to obtain the standard furnace negative pressure data; the speed of the first drying fan and the standard furnace negative pressure data are aligned to obtain the speed of the second drying fan and the second furnace negative pressure data.

[0036] It should be noted that there is a significant time delay between the air pressure in the air chamber below the grate and the negative pressure in the furnace. In actual production, thermal testing is often used to determine the time delay and other information of the specific controlled object. This invention proposes a time delay estimation method based on correlation coefficients to calculate the time delay between the air pressure in the air chamber below the grate and the negative pressure in the furnace online. Specifically, the server sets the initial delay time of the waste incinerator to be tested based on the size parameter of the incinerator. It should be noted that since the waste incinerator needs to be preheated before incineration, the corresponding delay time needs to be determined according to the size of the incinerator. Then, the server performs time axis preprocessing on the first furnace negative pressure data based on the initial delay time to obtain standard furnace negative pressure data; the first drying fan speed and the standard furnace negative pressure data are aligned to obtain the second drying fan speed and the second furnace negative pressure data.

[0037] 103. Calculate the correlation coefficient between the second drying fan speed and the second furnace negative pressure data, and generate the target delay time based on the correlation coefficient;

[0038] Specifically, the system calls a preset correlation coefficient function to calculate the correlation coefficient between the second drying fan speed and the second furnace negative pressure data; extracts the maximum value from the correlation coefficients to obtain the maximum correlation coefficient; obtains the timestamp corresponding to the maximum correlation coefficient, and uses the timestamp as the target delay time for the waste incinerator to be tested.

[0039] The correlation coefficient function can be either the Pearson correlation coefficient function or the Spearman correlation coefficient function. It should be noted that the Pearson correlation coefficient output ranges from -1 to +1, where 0 represents no correlation, negative values ​​indicate negative correlation, and positive values ​​indicate positive correlation. The calculation formula is shown below:

[0040]

[0041] In the formula: X and Y are sequence groups; X i Y i The value of the i-th sequence group; r is the mean of the sequence group; XY The Pearson correlation coefficient and Spearman correlation coefficient, also known as the Spearman rank coefficient, can be understood as a kind of order or ranking. Therefore, it is calculated based on the sorted position of the original data. The calculation formula is as follows:

[0042]

[0043] In the formula: X and Y are sequence groups; X i Y i The value of the i-th sequence group; ρ is the mean of the sequence group; ρ is the Spearman rank coefficient. Specifically, when calculating the delay time, the following premises need to be given: the system input and output signals are sampled at equal intervals; it is assumed that the delay is an integer multiple of the sampling time.

[0044] The delay time calculation process is as follows: The server selects historical data of the drying fan speed and the flue gas pressure at the incinerator outlet as input. The fan speed is used because it is the first indicator of changes in the fan speed. The server then assigns an empirical delay time T, which is related to the furnace structure and size and can be roughly determined from historical data combined with operator experience. Delay times of t = 1, 2, 3, ... T are taken respectively. The furnace negative pressure time axis is advanced by ts to align with the drying fan speed data. The correlation coefficient between the drying fan speed and the furnace negative pressure after eliminating the ts delay is calculated, and the maximum correlation value is taken. The corresponding t is the delay time τ between the drying fan speed and the furnace negative pressure. After the induced draft fan PID parameters are corrected, the delay time is recalculated.

[0045] 104. Calculate the initial bed thickness resistance of the waste incinerator under test based on the target delay time and the negative pressure data of the second furnace.

[0046] Specifically, based on the target delay time, the average pressure of the air chamber below the grate in the drying section of the waste incinerator under test, the primary air volume of the drying section, and the drying air temperature are calculated; the horizontal projected area of ​​the grate in the drying section of the waste incinerator under test is obtained; the preset material layer thickness resistance calculation function is called and the initial material layer thickness resistance of the waste incinerator under test is calculated based on the negative pressure data of the second furnace, the average pressure of the air chamber below the grate in the drying section, the primary air volume of the drying section, the drying air temperature, and the horizontal projected area of ​​the grate in the drying section.

[0047] The function for calculating the resistance of the material layer thickness is as follows:

[0048]

[0049] Among them, H (k) P represents the initial material layer thickness resistance at time k. (k-τ) P represents the average pressure in the air chamber below the grate in the drying section. 0(k) Q represents the negative pressure data of the second furnace. (k-τ) This indicates the primary air volume in the drying section, in tons. (k-τ)C represents the drying air temperature, and C represents the horizontal projected area of ​​the drying section grate. Specifically, after the server calculates the average pressure of the air chamber below the drying section grate of the waste incinerator under test, the primary air volume of the drying section, and the drying air temperature based on the target delay time, it calculates the horizontal projected area of ​​the drying section grate of the waste incinerator under test using a preset 3D projected area calculation model to determine the horizontal projected area of ​​the drying section grate. Then, the server determines the initial material layer thickness resistance using the aforementioned material layer thickness resistance calculation function.

[0050] 105. Perform a moving average process on the initial material layer thickness resistance to obtain the target material layer thickness resistance.

[0051] Specifically, a preset moving average function is called to smooth the initial material layer thickness resistance, thus obtaining the target material layer thickness resistance.

[0052] The moving average function described above is shown below:

[0053]

[0054] Where n is the moving average width, the moving average, or the exponentially weighted average, can be used to estimate the local mean of a variable, so that the update of the variable is related to the historical value over a period of time. In this embodiment of the invention, the server calls the preset East China marking function to smooth the above-mentioned initial material layer thickness resistance to obtain the corresponding target material layer thickness resistance.

[0055] In this embodiment of the invention, the rotational speed of the first drying fan, the negative pressure data of the first furnace, and the size parameters of the incinerator are acquired. An initial delay time is set based on the incinerator size parameters, and the rotational speed of the first drying fan and the negative pressure data of the first furnace are aligned according to the initial delay time to obtain the rotational speed of the second drying fan and the negative pressure data of the second furnace. The correlation coefficient between the rotational speed of the second drying fan and the negative pressure data of the second furnace is calculated, and a target delay time is generated based on the correlation coefficient. The initial bed thickness resistance of the incinerator is calculated based on the target delay time and the negative pressure data of the second furnace. The initial bed thickness resistance is then subjected to a moving average to obtain the target bed thickness resistance. This invention improves the accuracy of bed thickness detection by using time delay estimation based on the correlation coefficient to calculate the time delay between the air pressure in the air chamber below the grate and the negative pressure in the furnace online.

[0056] The above describes the method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator in an embodiment of the present invention. The following describes the device for detecting the bed thickness of a single-fan-multi-chamber waste incinerator in an embodiment of the present invention. Please refer to [link to relevant documentation]. Figure 2 One embodiment of the single-fan-multi-chamber waste incinerator bed thickness detection device of the present invention includes:

[0057] The acquisition module 201 is used to acquire the speed of the first drying fan, the negative pressure data of the first furnace, and the size parameters of the incinerator of the waste incinerator to be tested.

[0058] The processing module 202 is used to set an initial delay time according to the size parameter of the incinerator, and to perform data alignment processing on the first drying fan speed and the first furnace negative pressure data according to the initial delay time to obtain the second drying fan speed and the second furnace negative pressure data.

[0059] The generation module 203 is used to calculate the correlation coefficient between the second drying fan speed and the second furnace negative pressure data, and generate the target delay time based on the correlation coefficient;

[0060] Calculation module 204 is used to calculate the initial bed thickness resistance of the waste incinerator under test based on the target delay time and the second furnace negative pressure data;

[0061] The output module 205 is used to perform a sliding average process on the initial material layer thickness resistance to obtain the target material layer thickness resistance.

[0062] Optionally, the processing module 202 is specifically used to: set the initial delay time of the waste incinerator to be tested based on the incinerator size parameter; perform time axis preprocessing on the first furnace negative pressure data according to the initial delay time to obtain standard furnace negative pressure data; and align the first drying fan speed and the standard furnace negative pressure data to obtain second drying fan speed and second furnace negative pressure data.

[0063] Optionally, the generation module 203 is specifically used to: call a preset correlation coefficient function to calculate the correlation coefficient between the second drying fan speed and the second furnace negative pressure data; extract the maximum value among the correlation coefficients to obtain the maximum correlation coefficient; obtain the timestamp corresponding to the maximum correlation coefficient, and use the timestamp as the target delay time of the waste incinerator to be tested.

[0064] Optionally, the calculation module 204 is specifically used to: calculate the average pressure of the air chamber below the grate in the drying section of the waste incinerator to be tested, the primary air volume in the drying section, and the drying air temperature based on the target delay time; obtain the horizontal projected area of ​​the grate in the drying section of the waste incinerator to be tested; call a preset material layer thickness resistance calculation function and calculate the initial material layer thickness resistance of the waste incinerator to be tested based on the second furnace negative pressure data, the average pressure of the air chamber below the grate in the drying section, the primary air volume in the drying section, the drying air temperature, and the horizontal projected area of ​​the grate in the drying section.

[0065] Optionally, the output module 205 is specifically used to: call a preset moving average function to smooth the initial material layer thickness resistance, and obtain the target material layer thickness resistance.

[0066] Optionally, the function for calculating the resistance of the material layer thickness is:

[0067]

[0068] Among them, H (k) P represents the initial material layer thickness resistance at time k. (k-τ) P represents the average pressure in the air chamber below the grate in the drying section. 0(k) Q represents the negative pressure data of the second furnace. (k-τ) This indicates the primary air volume in the drying section, in tons. (k-τ) C represents the drying air temperature, and C represents the horizontal projected area of ​​the grate in the drying section.

[0069] Optionally, the correlation coefficient function can be either the Pearson correlation coefficient function or the Spearman correlation coefficient function.

[0070] In this embodiment of the invention, the rotational speed of the first drying fan, the negative pressure data of the first furnace, and the size parameters of the incinerator are acquired. An initial delay time is set based on the incinerator size parameters, and the rotational speed of the first drying fan and the negative pressure data of the first furnace are aligned according to the initial delay time to obtain the rotational speed of the second drying fan and the negative pressure data of the second furnace. The correlation coefficient between the rotational speed of the second drying fan and the negative pressure data of the second furnace is calculated, and a target delay time is generated based on the correlation coefficient. The initial bed thickness resistance of the incinerator is calculated based on the target delay time and the negative pressure data of the second furnace. The initial bed thickness resistance is then subjected to a moving average to obtain the target bed thickness resistance. This invention improves the accuracy of bed thickness detection by using time delay estimation based on the correlation coefficient to calculate the time delay between the air pressure in the air chamber below the grate and the negative pressure in the furnace online.

[0071] above Figure 2 The single-fan-multi-chamber waste incinerator bed thickness detection device in this embodiment of the invention is described in detail from the perspective of modular functional entities. The following describes the single-fan-multi-chamber waste incinerator bed thickness detection device in this embodiment of the invention in detail from the perspective of hardware processing.

[0072] Figure 3This is a schematic diagram of the structure of a single-fan-multi-chamber waste incinerator bed thickness detection device 300 provided in an embodiment of the present invention. The single-fan-multi-chamber waste incinerator bed thickness detection device 300 can vary significantly due to different configurations or performance characteristics. It may include one or more central processing units (CPUs) 310 (e.g., one or more processors) and a memory 320, and one or more storage media 330 (e.g., one or more mass storage devices) storing application programs 333 or data 332. The memory 320 and storage media 330 can be temporary or persistent storage. The program stored in the storage media 330 may include one or more modules (not shown in the diagram), each module including a series of instruction operations on the single-fan-multi-chamber waste incinerator bed thickness detection device 300. Furthermore, the processor 310 may be configured to communicate with the storage media 330 and execute the series of instruction operations in the storage media 330 on the single-fan-multi-chamber waste incinerator bed thickness detection device 300.

[0073] The single-fan-multi-chamber waste incinerator bed thickness detection device 300 may also include one or more power supplies 340, one or more wired or wireless network interfaces 350, one or more input / output interfaces 360, and / or one or more operating systems 331, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. Those skilled in the art will understand that... Figure 3 The structure of the single-fan-multi-chamber waste incinerator bed thickness detection device shown does not constitute a limitation on the single-fan-multi-chamber waste incinerator bed thickness detection device. It may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0074] The present invention also provides a device for detecting the thickness of the bed material in a single-fan-multi-chamber waste incinerator. The device includes a memory and a processor. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor performs the steps of the method for detecting the thickness of the bed material in a single-fan-multi-chamber waste incinerator described in the above embodiments.

[0075] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when the instructions are executed on a computer, cause the computer to perform the steps of the single-fan-multi-chamber waste incinerator bed thickness detection method.

[0076] Furthermore, the computer-readable storage medium may primarily include a stored program area and a stored data area, wherein the stored program area may store the operating system, an application program required for at least one function, etc.; and the stored data area may store data created based on the use of blockchain nodes, etc.

[0077] The blockchain referred to in this invention is a novel application model of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and encryption algorithms. Essentially, a blockchain is a decentralized database, a chain of data blocks linked together using cryptographic methods. Each data block contains information about a batch of network transactions, used to verify the validity of the information (anti-counterfeiting) and generate the next block. A blockchain can include an underlying blockchain platform, a platform product service layer, and an application service layer.

[0078] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0079] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0080] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting the bed thickness in a single-fan, multi-chamber waste incinerator, characterized in that, The method for detecting the bed thickness in a single-fan, multi-chamber waste incinerator includes: Acquire the speed of the first drying fan, the negative pressure of the first furnace, and the size parameters of the incinerator to be tested; An initial delay time is set according to the incinerator size parameters, and the first drying fan speed and the first furnace negative pressure data are aligned according to the initial delay time to obtain the second drying fan speed and the second furnace negative pressure data. Calculate the correlation coefficient between the second drying fan speed and the second furnace negative pressure data, and generate the target delay time based on the correlation coefficient; The initial bed thickness resistance of the waste incinerator under test is calculated based on the target delay time and the second furnace negative pressure data. The initial material layer thickness resistance is subjected to a moving average process to obtain the target material layer thickness resistance.

2. The method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator according to claim 1, characterized in that, The step of setting an initial delay time based on the incinerator size parameters, and aligning the first drying fan speed and the first furnace negative pressure data based on the initial delay time to obtain the second drying fan speed and the second furnace negative pressure data includes: The initial delay time of the waste incinerator to be tested is set based on the incinerator size parameters; Based on the initial delay time, the first furnace negative pressure data is preprocessed on the time axis to obtain standard furnace negative pressure data. The speed of the first drying fan and the negative pressure data of the standard furnace are aligned to obtain the speed of the second drying fan and the negative pressure data of the second furnace.

3. The method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator according to claim 1, characterized in that, The calculation of the correlation coefficient between the second drying fan speed and the second furnace negative pressure data, and the generation of the target delay time based on the correlation coefficient, includes: The correlation coefficient between the second drying fan speed and the second furnace negative pressure data is calculated by calling a preset correlation coefficient function; Extract the maximum value from the correlation coefficients to obtain the maximum correlation coefficient; Obtain the timestamp corresponding to the maximum correlation coefficient, and use the timestamp as the target delay time for the waste incinerator to be tested.

4. The method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator according to claim 1, characterized in that, The calculation of the initial bed thickness resistance of the waste incinerator under test based on the target delay time and the second furnace negative pressure data includes: The average pressure, primary air volume, and drying air temperature of the air chamber below the grate in the drying section of the waste incinerator to be tested are calculated based on the target delay time. Obtain the horizontal projected area of ​​the grate in the drying section of the waste incinerator to be tested; The preset material layer thickness resistance calculation function is called, and the initial material layer thickness resistance of the waste incinerator to be tested is calculated based on the second furnace negative pressure data, the average pressure of the air chamber below the grate in the drying section, the primary air volume in the drying section, the drying air temperature, and the horizontal projected area of ​​the grate in the drying section.

5. The method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator according to claim 1, characterized in that, The step of performing a moving average process on the initial material layer thickness resistance to obtain the target material layer thickness resistance includes: The initial material layer thickness resistance is smoothed by calling a preset moving average function to obtain the target material layer thickness resistance.

6. The method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator according to claim 4, characterized in that, The function for calculating the resistance of the material layer thickness is: Among them, H (k) P represents the initial material layer thickness resistance at time k. (k-τ) P represents the average pressure in the air chamber below the grate in the drying section. 0(k) Q represents the negative pressure data of the second furnace. (k-τ) This indicates the primary air volume in the drying section, in tons. (k-τ) C represents the drying air temperature, and C represents the horizontal projected area of ​​the grate in the drying section.

7. The method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator according to claim 3, characterized in that, The correlation coefficient function can be either the Pearson correlation coefficient function or the Spearman correlation coefficient function.

8. A device for detecting the bed thickness of a single-fan, multi-chamber waste incinerator, characterized in that, The single-fan-multi-chamber waste incinerator bed thickness detection device includes: The acquisition module is used to acquire the speed of the first drying fan, the negative pressure data of the first furnace, and the size parameters of the incinerator of the waste incinerator to be tested; The processing module is used to set an initial delay time according to the size parameter of the incinerator, and to perform data alignment processing on the first drying fan speed and the first furnace negative pressure data according to the initial delay time to obtain the second drying fan speed and the second furnace negative pressure data. The generation module is used to calculate the correlation coefficient between the second drying fan speed and the second furnace negative pressure data, and generate the target delay time based on the correlation coefficient; The calculation module is used to calculate the initial bed thickness resistance of the waste incinerator under test based on the target delay time and the second furnace negative pressure data; The output module is used to perform a sliding average process on the initial material layer thickness resistance to obtain the target material layer thickness resistance.

9. A device for detecting the bed thickness of a single-fan-multi-chamber waste incinerator, characterized in that, The single-fan-multi-chamber waste incinerator bed thickness detection device includes: a memory and at least one processor, wherein the memory stores instructions; The at least one processor invokes the instructions in the memory to cause the single-fan-multi-chamber waste incinerator bed thickness detection device to perform the single-fan-multi-chamber waste incinerator bed thickness detection method as described in any one of claims 1-7.

10. A computer-readable storage medium storing instructions thereon, characterized in that, When the instruction is executed by the processor, it implements the method for detecting the bed thickness of a single-fan-multi-chamber waste incinerator as described in any one of claims 1-7.

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