Internet-of-things regulation and control method and system for operation parameters of cremation machine

Abstract

The invention relates to the field of artificial intelligence control, and provides an internet-of-things regulation and control method and system for cremation machine operation parameters, by establishing an internet-of-things architecture surrounding cremation machine equipment, operation data of a cremation machine is visualized at an internet-of-things central terminal, so that more intuitive data feedback is realized, and the cremation machine operation parameters can be regulated and controlled more accurately. A parameter steady-state analysis algorithm and a thermal image analysis algorithm are designed for the internet-of-things central terminal, operation state judgment is carried out on different types of cremation machine operation data, the data relevance between the internet-of-things central terminal and the user terminal during regulation and control is enhanced, the operation and regulation and control efficiency of the cremation machine is further improved, and the operation and regulation and control efficiency of the cremation machine is improved. And then a user terminal comprehensive regulation and control algorithm is designed at the user terminal, so that the data relation between the user terminal nodes and in the user terminal nodes in the Internet of Things framework is enhanced, the parameter fine adjustment and steady state maintenance performance of all equipment in the user terminal nodes is improved, and the operation stability and balance of the cremation machine are improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence control, and in particular to an Internet of Things control method and system for crematorium operating parameters. Background Art

[0002] With the rapid development of industrial technology, the requirements for mechanical equipment are gradually increasing. As an important part of the funeral industry, crematoriums naturally need to meet higher performance requirements, especially in the field of control and regulation of crematoriums. In the prior art, the control and adjustment of the crematorium is often performed manually after data is collected by a single sensor. This control and adjustment method is not only costly, but also has low accuracy and response efficiency in control and adjustment, and cannot meet the requirements of automation and intelligence. The existing automated control only performs pre-adjustment based on a single data parameter, ignoring the correlation between data and making it difficult to cope with the complex situations when the crematorium is working. As a result, the working state of the crematorium continues to fluctuate and is difficult to maintain stably, resulting in low performance efficiency and damaging the machine, posing a safety hazard to the staff.

[0003] Therefore, how to design a control method for the cremator to cope with the complex situations when the cremator is working and maintain the stable operation of the cremator has become an urgent problem to be solved. Summary of the invention

[0004] Based on this, the present invention provides an Internet of Things control method and system for the operating parameters of a cremator. By establishing an Internet of Things architecture around the cremator equipment, the operating data of the cremator is visualized at the Internet of Things hub to achieve more intuitive data feedback, and a parameter steady-state analysis algorithm and a thermal image analysis algorithm are designed for the Internet of Things hub to respectively judge the operating status of different types of cremator operating data. The parameter steady-state analysis algorithm analyzes and judges the stability of the cremator operation from a numerical perspective, so as to quickly respond to the problem that the working state of the cremator is prone to continuous fluctuations during operation, thereby improving the operating performance of the cremator. The thermal image analysis algorithm The algorithm analyzes the balance of the cremator's operation from a spatial orientation so as to quickly respond to the complex internal conditions during the operation of the cremator. The IoT central end correlates and regulates the cremator's adjustment plans with different orientations to strengthen the correlation between the data between the IoT central end and the user terminal during regulation, further improving the cremator's operation and regulation efficiency. A user terminal comprehensive regulation algorithm is then designed at the user terminal to enhance the data connection between the user terminal nodes and within the user terminal nodes in the IoT architecture, and to improve the parameter fine-tuning and steady-state maintenance performance of all devices in the user terminal nodes. The present invention improves the operating stability and balance of the cremator.

[0005] An Internet of Things control method for crematorium operating parameters, comprising: Collect crematorium operation data and pre-process it; Performing visual image conversion according to the preprocessed cremator operation data to obtain a cremator operation status image, wherein the visual image conversion includes an operation data function image conversion and an operation data thermal image conversion, and the cremator operation status image includes a cremator operation status function image and a cremator operation status thermal image; The operating state of the cremator operating state image is judged according to the parameter steady-state analysis algorithm and the thermal image analysis algorithm to obtain the cremator operating state analysis report, and then the control strategy database is searched for solutions according to the cremator operating state analysis report to obtain the central regulation solution, the parameter steady-state analysis algorithm is used to eliminate the function image noise and analyze and judge the fluctuation state of the function image, and the thermal image analysis algorithm is used to locate different thermal areas and analyze and judge the distribution state of the thermal areas; The operation of the crematorium is regulated according to the central regulation scheme, and the execution result of the operation regulation of the crematorium is fed back to the cloud database.

[0006] In summary, the IoT control method for the operating parameters of a cremator proposed above, by establishing an IoT architecture around the cremator equipment, visualizes the operating data of the cremator at the IoT hub to achieve more intuitive data feedback, and designs a parameter steady-state analysis algorithm and a thermal image analysis algorithm for the IoT hub to respectively judge the operating status of different types of cremator operating data. The parameter steady-state analysis algorithm analyzes and judges the stability of the cremator operation from a numerical perspective, so as to quickly respond to the problem that the working state of the cremator is prone to continuous fluctuations during operation, thereby improving the operating performance of the cremator. The thermal image analysis algorithm In terms of spatial orientation, the balance of the cremator's operation is analyzed to quickly respond to the complex internal conditions during the operation of the cremator. The IoT central end correlates and regulates the cremator's adjustment plans of different orientations to strengthen the correlation between the data between the IoT central end and the user terminal during regulation, further improving the cremator's operation and regulation efficiency. A user terminal comprehensive regulation algorithm is designed at the user terminal to enhance the data connection between the user terminal nodes and within the user terminal nodes in the IoT architecture, and improve the parameter fine-tuning and steady-state maintenance performance of all devices in the user terminal nodes. The present invention improves the operating stability and balance of the cremator. Specifically, the crematorium operation data is collected and preprocessed to improve the reliability of parameters, and a visual image conversion is performed based on the preprocessed crematorium operation data to obtain a crematorium operation status image, the visual image conversion includes an operation data function image conversion and an operation data thermal image conversion, the crematorium operation status image includes a crematorium operation status function image and a crematorium operation status thermal image, and visual feedback is achieved, making the crematorium operation status feedback more intuitive, and the operation status of the crematorium operation status image is judged based on a parameter steady-state analysis algorithm and a thermal image analysis algorithm to obtain a crematorium operation status analysis report, and then a control strategy database is searched for solutions based on the crematorium operation status analysis report to obtain The central adjustment scheme, the parameter steady-state analysis algorithm is used to eliminate the function image noise and analyze and judge the fluctuation state of the function image, the thermal image analysis algorithm is used to locate different thermal areas and analyze and judge the distribution state of the thermal areas, and analyze the balance of the crematorium operation to quickly respond to the complex internal conditions when the crematorium is running. The Internet of Things central end will correlate and regulate the crematorium adjustment schemes with different directions to strengthen the correlation between the data between the Internet of Things central end and the user terminal during regulation, and further improve the operation and regulation efficiency of the crematorium. The crematorium operation is regulated according to the central adjustment scheme, and the execution results of the crematorium operation regulation are fed back to the cloud database. The present invention improves the operation stability and balance of the crematorium.

[0007] Furthermore, the step of performing visual image conversion according to the preprocessed cremator operation data to obtain the cremator operation status image specifically includes: The pre-processed crematorium operation data is divided into parameter-type operation data and image-type operation data; According to the parameter type, the corresponding function expression is retrieved in the preset function database, so as to generate a function image for the parameter type operation data according to the function expression, so as to obtain the function image of the crematorium operation state, wherein the function image generation includes generating a function image of the temperature parameter type operation data, and the specific algorithm for generating the function image of the temperature parameter type operation data is as follows: , in, Indicates temperature parameter type operating data, Represents time data, Indicates the heat transfer coefficient in the crematorium furnace, represents the Laplace operator; Channel image extraction is performed on the image-type operation data according to the color channel, and the color channel includes a red channel, a green channel, and a blue channel. The channel image corresponding to each channel is subjected to pixel channel value extraction and pixel value weighting processing to obtain a thermal image of the crematorium operation state. The specific formula for the pixel value weighting processing is as follows: , in, Represents the pixel value of a single pixel. and Represent the pixel weights of the minimum and maximum values ​​respectively, and represent the minimum and maximum functions respectively, Respectively represent the pixel channel values ​​of a single pixel on the three color channels.

[0008] Furthermore, the step of judging the operating state of the cremator operating state image according to the parameter steady-state analysis algorithm and the thermal image analysis algorithm to obtain the cremator operating state analysis report specifically includes: The crematorium operating state function image is denoised according to a denoising algorithm, and the specific formula of the denoising algorithm is as follows: , in, Represents the function value of the crematorium operating status function image after denoising, and Respectively represent the width and height of the denoising window size, and Represent the discrete values ​​of the horizontal and vertical coordinates of the function value, and Respectively represent the horizontal and vertical coordinates of the function value; Then, the operating state of the crematorium operating state function image is judged according to the parameter steady-state analysis algorithm to obtain the first operating state analysis report of the crematorium. The specific formula of the parameter steady-state analysis algorithm is as follows: , , , in, Represents the function value of the crematorium operating status function image after denoising, It represents the mean value of the function value after denoising the crematorium operating status function image. The function fluctuation value representing the function graph of the crematorium operating status, represents the number of function points, Represents the ordinal number of the function point.

[0009] Furthermore, the step of judging the operating state of the cremator operating state image according to the parameter steady-state analysis algorithm and the thermal image analysis algorithm to obtain the cremator operating state analysis report also includes: The temperature values ​​of all pixels in the thermal image of the cremator running state are calculated, and then the temperature values ​​are calibrated according to the pixel values ​​of the grayscale processed pixels, so as to divide the area of ​​the thermal image of the cremator running state into a high temperature area, a rated temperature area, and a low temperature area. The specific algorithm of the area division is as follows: , in, The pixel area of ​​the thermal image representing the operating status of the crematorium, , , Respectively represent high temperature area, rated temperature area, and low temperature area. Indicates the temperature value of the pixel in the area. and They respectively represent the minimum temperature threshold and the maximum temperature threshold of the rated operating temperature of the cremator; The operating status of a single area in the high temperature area, the rated temperature area, and the low temperature area is judged according to the thermal image analysis algorithm. The thermal image analysis algorithm is as follows: , , , in, Represents the basic predicted value of temperature fluctuation in a single area, Indicates the correction value for temperature fluctuation in a single area. Indicates the pixel area change value, Indicates the regional temperature change value, Indicates the deviation value, represents the correction slope parameter, Indicates the standard rated temperature value of the crematorium operation. Represents the edge temperature value of a single area, Indicates the air temperature value inside the cremator. Indicates the thermal conductivity of the air in the cremator, represents the correction weight, Represents the refined prediction value of temperature fluctuation in a single region; Obtain refined predictions of temperature fluctuations in all regions to obtain the second operating status analysis report of the crematorium.

[0010] Furthermore, after the steps of obtaining the first operation status analysis report of the crematorium and obtaining the second operation status analysis report of the crematorium, the method further includes: Performing a key-value matching operation according to the keywords of the first operation status analysis report of the cremator, and performing parameter adjustment value pairing in the control strategy database according to the search key corresponding to the keyword, so as to screen the adjustment operation instruction set containing the largest number of parameter adjustment items; generating a parameter adjustment scheme according to the adjustment operation instruction set; Alternatively, based on the positioning information and temperature fluctuation information of all pixel points in the second operation status analysis report of the cremator, the spatial area to be temperature-controlled inside the cremator is positioned to obtain distribution information of the area to be controlled; Then, according to the distribution information of the area to be regulated, the control strategy database is retrieved for the relevant control instructions of the area to be regulated; After obtaining the relevant control instruction set, the control distribution value corresponding to the area to be controlled is set according to the refined prediction value of the regional temperature fluctuation change in the second operating state analysis report of the cremator to obtain a distribution adjustment plan.

[0011] Furthermore, the step of regulating the operation of the crematorium according to the central regulation scheme and feeding back the execution result of the crematorium operation regulation to the cloud database specifically includes: According to the central control scheme, the control instructions of the temperature parameters and the temperature control parameters are obtained to control the operation of the crematorium according to the adaptive fuzzy control network. The optimization control algorithm of the adaptive fuzzy control network is as follows: , , in, represents the error cost value, Indicates the control of the predetermined output value. Indicates the actual output value of the control. represents the time step, represents the central value of the membership function, Represents the learning rate parameter; Feedback the execution results of crematorium operation control to the cloud database; If it is determined that the cremator is in a dangerous operating state, the cremator will be urgently controlled according to the preset safety emergency rules, multi-terminal alarms will be issued and the dangerous operation information will be recorded for backup.

[0012] Furthermore, the step of performing visual image conversion according to the preprocessed cremator operation data to obtain the cremator operation status image further includes: Make user terminal adjustment judgment based on the crematorium operation status image; If it is determined that the current operating state of the cremator is in an unadjustable state of the user terminal, the user terminal database generates a central adjustment request report according to the unadjustable type to wake up the control strategy database of the IoT hub to make an operating state judgment; If it is determined that the current operating state of the cremator is in a state that can be adjusted by the user terminal, the user terminal database performs comprehensive control on the target cremator according to the user terminal comprehensive control algorithm, and the user terminal comprehensive control algorithm is specifically as follows: , in, represents the velocity field, represents the scalar pressure, Indicates external force, Indicates the number of components, =(1,2,3), represents a spatial variable, Represents time data.

[0013] The present invention proposes an Internet of Things control system for crematorium operating parameters, comprising: The acquisition module is used to collect the crematorium operation data and perform pre-processing; A visualization conversion module, used for performing visualization image conversion according to the preprocessed cremator operation data to obtain a cremator operation status image, wherein the visualization image conversion includes operation data function image conversion and operation data thermal image conversion, and the cremator operation status image includes a cremator operation status function image and a cremator operation status thermal image; A central analysis module, used to judge the operating state of the cremator operating state image according to a parameter steady-state analysis algorithm and a thermal image analysis algorithm, so as to obtain a cremator operating state analysis report, and then search the control strategy database according to the cremator operating state analysis report to obtain a central regulation solution, wherein the parameter steady-state analysis algorithm is used to eliminate function image noise and analyze and judge the fluctuation state of the function image, and the thermal image analysis algorithm is used to locate different thermal areas and analyze and judge the distribution state of the thermal areas; The control module is used to control the operation of the crematorium according to the central control plan, and feed back the execution result of the operation control of the crematorium to the cloud database.

[0014] The present invention also provides a storage medium, which stores one or more programs, and when the programs are executed by a processor, the Internet of Things control method for the operating parameters of the crematorium is implemented as described above.

[0015] The present invention also provides a computer device, the computer device comprising a memory and a processor, wherein: The memory is used to store computer programs; When the processor is used to execute the computer program stored in the memory, it implements the Internet of Things control method for the crematorium operating parameters as described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of the Internet of Things control method for crematorium operating parameters proposed in the first embodiment of the present invention; Figure 2 This is a flow chart of the Internet of Things control method for crematorium operating parameters proposed in the second embodiment of the present invention; Figure 3 This is a structural schematic diagram of the Internet of Things control method for crematorium operating parameters proposed in the third embodiment of the present invention.

[0017] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0018] In order to facilitate understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are provided in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0019] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0021] See also Figure 1 , which is a flow chart of the Internet of Things control method for the operating parameters of a cremator according to the first embodiment of the present invention, the Internet of Things control method for the operating parameters of a cremator comprises steps S01 to S04, wherein: Step S01: Collecting crematorium operation data and preprocessing it; Step S02: performing visual image conversion according to the pre-processed crematorium operation data to obtain a crematorium operation status image; It should be noted that in this embodiment, the pre-processed cremator operation data is divided into parameter-type operation data and image-type operation data; According to the parameter type, the corresponding function expression is retrieved in the preset function database, so as to generate a function image for the parameter type operation data according to the function expression, so as to obtain the function image of the crematorium operation state, wherein the function image generation includes generating a function image of the temperature parameter type operation data, and the specific algorithm for generating the function image of the temperature parameter type operation data is as follows: , in, Indicates temperature parameter type operating data, Represents time data, Indicates the heat transfer coefficient in the crematorium furnace, represents the Laplace operator; Channel image extraction is performed on the image-type operation data according to the color channel, and the color channel includes a red channel, a green channel, and a blue channel. The channel image corresponding to each channel is subjected to pixel channel value extraction and pixel value weighting processing to obtain a thermal image of the crematorium operation state. The specific formula for the pixel value weighting processing is as follows: , in, Represents the pixel value of a single pixel. and Represent the pixel weights of the minimum and maximum values ​​respectively, and represent the minimum and maximum functions respectively, Respectively represent the pixel channel values ​​of a single pixel on three color channels; The step of performing visual image conversion according to the preprocessed crematorium operation data to obtain the crematorium operation status image further includes: Make user terminal adjustment judgment based on the crematorium operation status image; If it is determined that the current operating state of the cremator is in an unadjustable state of the user terminal, the user terminal database generates a central adjustment request report according to the unadjustable type to wake up the control strategy database of the IoT hub to make an operating state judgment; If it is determined that the current operating state of the cremator is in a state that can be adjusted by the user terminal, the user terminal database performs comprehensive control on the target cremator according to the user terminal comprehensive control algorithm, and the user terminal comprehensive control algorithm is specifically as follows: , in, represents the velocity field, represents the scalar pressure, Indicates external force, Indicates the number of components, =(1,2,3), represents a spatial variable, Represents time data.

[0022] Step S03: judging the operation state of the cremator operation state image according to the parameter steady-state analysis algorithm and the thermal image analysis algorithm to obtain the cremator operation state analysis report, and then searching the control strategy database according to the cremator operation state analysis report to obtain the central regulation plan; It should be noted that in this embodiment, the crematorium operating state function image is denoised according to a denoising algorithm, and the specific formula of the denoising algorithm is as follows: , in, Represents the function value of the crematorium operating status function image after denoising, and Respectively represent the width and height of the denoising window size, and Represent the discrete values ​​of the horizontal and vertical coordinates of the function value, and Respectively represent the horizontal and vertical coordinates of the function value; Then, the operating state of the crematorium operating state function image is judged according to the parameter steady-state analysis algorithm to obtain the first operating state analysis report of the crematorium. The specific formula of the parameter steady-state analysis algorithm is as follows: , , , in, Represents the function value of the crematorium operating status function image after denoising, It represents the mean value of the function value after denoising the crematorium operating status function image. The function fluctuation value representing the function graph of the crematorium operating status, represents the number of function points, Indicates the ordinal number of the function point; The temperature values ​​of all pixels in the thermal image of the cremator running state are calculated, and then the temperature values ​​are calibrated according to the pixel values ​​of the grayscale processed pixels, so as to divide the area of ​​the thermal image of the cremator running state into a high temperature area, a rated temperature area, and a low temperature area. The specific algorithm of the area division is as follows: , in, The pixel area of ​​the thermal image representing the operating status of the crematorium, , , Respectively represent high temperature area, rated temperature area, and low temperature area. Indicates the temperature value of the pixel in the area. and They respectively represent the minimum temperature threshold and the maximum temperature threshold of the rated operating temperature of the cremator; The operating status of a single area in the high temperature area, the rated temperature area, and the low temperature area is judged according to the thermal image analysis algorithm. The thermal image analysis algorithm is as follows: , , , in, Represents the basic predicted value of temperature fluctuation in a single area, Indicates the correction value for temperature fluctuation in a single area. Indicates the pixel area change value, Indicates the regional temperature change value, Indicates the deviation value, represents the correction slope parameter, Indicates the standard rated temperature value of the crematorium operation. Represents the edge temperature value of a single area, Indicates the air temperature value inside the cremator. Indicates the thermal conductivity of the air in the cremator, represents the correction weight, Represents the refined prediction value of temperature fluctuation in a single region; Obtain the refined prediction values ​​of temperature fluctuations in all regions to obtain the second operating status analysis report of the crematorium; Performing a key-value matching operation according to the keywords of the first operation status analysis report of the cremator, and performing parameter adjustment value pairing in the control strategy database according to the search key corresponding to the keyword, so as to screen the adjustment operation instruction set containing the largest number of parameter adjustment items; generating a parameter adjustment scheme according to the adjustment operation instruction set; Alternatively, based on the positioning information and temperature fluctuation information of all pixel points in the second operation status analysis report of the cremator, the spatial area to be temperature-controlled inside the cremator is positioned to obtain distribution information of the area to be controlled; Then, according to the distribution information of the area to be regulated, the control strategy database is retrieved for the relevant control instructions of the area to be regulated; After obtaining the relevant control instruction set, the control distribution value corresponding to the area to be controlled is set according to the refined prediction value of the regional temperature fluctuation change in the second operating state analysis report of the cremator to obtain a distribution adjustment plan.

[0023] Step S04: Regulate the operation of the crematorium according to the central regulation plan, and feed back the execution result of the crematorium operation regulation to the cloud database; It should be noted that in this embodiment, according to the central regulation scheme, the control instructions of the temperature parameters and the temperature control parameters are obtained to control the operation of the crematorium according to the adaptive fuzzy regulation network. The optimization regulation algorithm of the adaptive fuzzy regulation network is as follows: , , in, represents the error cost value, Indicates the control of the predetermined output value. Indicates the actual output value of the control. represents the time step, represents the central value of the membership function, Represents the learning rate parameter; Feedback the execution results of crematorium operation control to the cloud database; If it is determined that the cremator is in a dangerous operating state, the cremator will be urgently controlled according to the preset safety emergency rules, multi-terminal alarms will be issued and the dangerous operation information will be recorded for backup.

[0024] In summary, the IoT control method for the operating parameters of a cremator proposed above, by establishing an IoT architecture around the cremator equipment, visualizes the operating data of the cremator at the IoT hub to achieve more intuitive data feedback, and designs a parameter steady-state analysis algorithm and a thermal image analysis algorithm for the IoT hub to respectively judge the operating status of different types of cremator operating data. The parameter steady-state analysis algorithm analyzes and judges the stability of the cremator operation from a numerical perspective, so as to quickly respond to the problem that the working state of the cremator is prone to continuous fluctuations during operation, thereby improving the operating performance of the cremator. The thermal image analysis algorithm In terms of spatial orientation, the balance of the cremator's operation is analyzed to quickly respond to the complex internal conditions during the operation of the cremator. The IoT central end correlates and regulates the cremator's adjustment plans of different orientations to strengthen the correlation between the data between the IoT central end and the user terminal during regulation, further improving the cremator's operation and regulation efficiency. A user terminal comprehensive regulation algorithm is designed at the user terminal to enhance the data connection between the user terminal nodes and within the user terminal nodes in the IoT architecture, and improve the parameter fine-tuning and steady-state maintenance performance of all devices in the user terminal nodes. The present invention improves the operating stability and balance of the cremator. Specifically, the crematorium operation data is collected and preprocessed to improve the reliability of parameters, and a visual image conversion is performed based on the preprocessed crematorium operation data to obtain a crematorium operation status image, the visual image conversion includes an operation data function image conversion and an operation data thermal image conversion, the crematorium operation status image includes a crematorium operation status function image and a crematorium operation status thermal image, and visual feedback is achieved, making the crematorium operation status feedback more intuitive, and the operation status of the crematorium operation status image is judged based on a parameter steady-state analysis algorithm and a thermal image analysis algorithm to obtain a crematorium operation status analysis report, and then a control strategy database is searched for solutions based on the crematorium operation status analysis report to obtain The central adjustment scheme, the parameter steady-state analysis algorithm is used to eliminate the function image noise and analyze and judge the fluctuation state of the function image, the thermal image analysis algorithm is used to locate different thermal areas and analyze and judge the distribution state of the thermal areas, and analyze the balance of the crematorium operation to quickly respond to the complex internal conditions when the crematorium is running. The Internet of Things central end will correlate and regulate the crematorium adjustment schemes with different directions to strengthen the correlation between the data between the Internet of Things central end and the user terminal during regulation, and further improve the operation and regulation efficiency of the crematorium. The crematorium operation is regulated according to the central adjustment scheme, and the execution results of the crematorium operation regulation are fed back to the cloud database. The present invention improves the operation stability and balance of the crematorium.

[0025] See also Figure 2 , which is a flow chart of the Internet of Things control method for the operating parameters of a cremator according to the second embodiment of the present invention, wherein the Internet of Things control method for the operating parameters of a cremator comprises steps S11 to S16, wherein: Step S11: collecting and preprocessing the crematorium operation data, dividing the preprocessed crematorium operation data into parameter-type operation data and image-type operation data, searching for the corresponding function expression in the preset function database according to the parameter type, generating a function image for the parameter-type operation data according to the function expression, so as to obtain a crematorium operation state function image, extracting a channel image for the image-type operation data according to the color channel, extracting pixel channel values ​​for the channel image corresponding to each channel and performing pixel value weighting processing, so as to obtain a crematorium operation state thermal image; Step S12: De-noising the cremator operating state function image according to a denoising algorithm, and then judging the operating state of the cremator operating state function image according to a parameter steady-state analysis algorithm to obtain a first operating state analysis report of the cremator, calculating the temperature values ​​of all pixels in the cremator operating state thermal image, and then calibrating the temperature values ​​according to the pixel values ​​of the pixels after grayscale processing to divide the cremator operating state thermal image into regions, judging the operating state of each single region according to the thermal image analysis algorithm, and obtaining refined prediction values ​​of temperature fluctuations in all regions to obtain a second operating state analysis report of the cremator; Step S13: performing a key value matching operation according to the keywords of the first operation status analysis report of the cremator, performing parameter adjustment value pairing in the control strategy database according to the search key corresponding to the keyword, so as to screen the adjustment operation instruction set containing the largest number of parameter adjustment items, and generating a parameter adjustment plan according to the adjustment operation instruction set; Step S14: According to the positioning information and temperature fluctuation information of all pixel points in the second operation state analysis report of the cremator, the spatial area to be temperature-controlled inside the cremator is positioned to obtain distribution information of the area to be controlled, and then the relevant control instructions of the area to be controlled are retrieved from the control strategy database according to the distribution information of the area to be controlled. After the relevant control instruction set is obtained, the control distribution value corresponding to the area to be controlled is set according to the refined prediction value of the regional temperature fluctuation change in the second operation state analysis report of the cremator to obtain the distribution adjustment scheme; Step S15: According to the central regulation scheme, the temperature parameters and the temperature control parameters are obtained. The operation of the cremator is regulated according to the adaptive fuzzy regulation network, and the execution result of the operation regulation of the cremator is fed back to the cloud database. If the cremator is determined to be in a dangerous operation state, the cremator is urgently controlled according to the preset safety emergency rules, and a multi-terminal alarm is issued and the dangerous operation information is recorded for backup; Step S16: Make a user terminal adjustment judgment based on the cremator operating status image. If it is determined that the current cremator operating status is in a state where the user terminal cannot adjust it, the user terminal database generates a central adjustment request report based on the non-adjustable type to wake up the control strategy database of the Internet of Things hub to make an operating status judgment. If it is determined that the current cremator operating status is in a state where the user terminal can adjust it, the user terminal database performs comprehensive control on the target cremator according to the user terminal comprehensive control algorithm.

[0026] In summary, the IoT control method for the operating parameters of a cremator proposed above, by establishing an IoT architecture around the cremator equipment, visualizes the operating data of the cremator at the IoT hub to achieve more intuitive data feedback, and designs a parameter steady-state analysis algorithm and a thermal image analysis algorithm for the IoT hub to respectively judge the operating status of different types of cremator operating data. The parameter steady-state analysis algorithm analyzes and judges the stability of the cremator operation from a numerical perspective, so as to quickly respond to the problem that the working state of the cremator is prone to continuous fluctuations during operation, thereby improving the operating performance of the cremator. The thermal image analysis algorithm In terms of spatial orientation, the balance of the cremator's operation is analyzed to quickly respond to the complex internal conditions during the operation of the cremator. The IoT central end correlates and regulates the cremator's adjustment plans of different orientations to strengthen the correlation between the data between the IoT central end and the user terminal during regulation, further improving the cremator's operation and regulation efficiency. A user terminal comprehensive regulation algorithm is designed at the user terminal to enhance the data connection between the user terminal nodes and within the user terminal nodes in the IoT architecture, and improve the parameter fine-tuning and steady-state maintenance performance of all devices in the user terminal nodes. The present invention improves the operating stability and balance of the cremator. Specifically, the crematorium operation data is collected and preprocessed to improve the reliability of parameters, and a visual image conversion is performed based on the preprocessed crematorium operation data to obtain a crematorium operation status image, the visual image conversion includes an operation data function image conversion and an operation data thermal image conversion, the crematorium operation status image includes a crematorium operation status function image and a crematorium operation status thermal image, and visual feedback is achieved, making the crematorium operation status feedback more intuitive, and the operation status of the crematorium operation status image is judged based on a parameter steady-state analysis algorithm and a thermal image analysis algorithm to obtain a crematorium operation status analysis report, and then a control strategy database is searched for solutions based on the crematorium operation status analysis report to obtain The central adjustment scheme, the parameter steady-state analysis algorithm is used to eliminate the function image noise and analyze and judge the fluctuation state of the function image, the thermal image analysis algorithm is used to locate different thermal areas and analyze and judge the distribution state of the thermal areas, and analyze the balance of the crematorium operation to quickly respond to the complex internal conditions when the crematorium is running. The Internet of Things central end will correlate and regulate the crematorium adjustment schemes with different directions to strengthen the correlation between the data between the Internet of Things central end and the user terminal during regulation, and further improve the operation and regulation efficiency of the crematorium. The crematorium operation is regulated according to the central adjustment scheme, and the execution results of the crematorium operation regulation are fed back to the cloud database. The present invention improves the operation stability and balance of the crematorium.

[0027] See also Figure 3, which is a schematic diagram of the structure of the Internet of Things control system for the operation parameters of the crematorium proposed in the third embodiment of the present invention, and the system includes: The acquisition module 10 is used to collect the crematorium operation data and perform pre-processing; A visualization conversion module 20 is used to perform visualization image conversion according to the preprocessed cremator operation data to obtain a cremator operation status image, wherein the visualization image conversion includes operation data function image conversion and operation data thermal image conversion, and the cremator operation status image includes a cremator operation status function image and a cremator operation status thermal image; The central analysis module 30 is used to judge the operating state of the cremator operating state image according to the parameter steady-state analysis algorithm and the thermal image analysis algorithm to obtain the cremator operating state analysis report, and then search the control strategy database according to the cremator operating state analysis report to obtain the central regulation plan, wherein the parameter steady-state analysis algorithm is used to eliminate the function image noise and analyze and judge the fluctuation state of the function image, and the thermal image analysis algorithm is used to locate different thermal areas and analyze and judge the distribution state of the thermal areas; The control module 40 is used to control the operation of the crematorium according to the central control scheme, and feed back the execution result of the operation control of the crematorium to the cloud database.

[0028] The present invention also proposes a computer storage medium on which one or more programs are stored, and when the program is executed by a processor, the above-mentioned visual remote control method of the operating parameters of the crematorium is implemented.

[0029] The present invention also proposes a computer device, comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the above-mentioned visual remote control method of the crematorium operating parameters.

[0030] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, "computer-readable medium" may be any device that can contain storage, communication, propagation or transmission of a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0031] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0032] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0033] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0034] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. An Internet of Things control method for crematorium operating parameters, characterized in that: include: Collect crematorium operation data and pre-process it; Performing visual image conversion according to the preprocessed cremator operation data to obtain a cremator operation status image, wherein the visual image conversion includes an operation data function image conversion and an operation data thermal image conversion, and the cremator operation status image includes a cremator operation status function image and a cremator operation status thermal image; The operating state of the cremator operating state image is judged according to the parameter steady-state analysis algorithm and the thermal image analysis algorithm to obtain the cremator operating state analysis report, and then the control strategy database is searched for solutions according to the cremator operating state analysis report to obtain the central regulation solution, the parameter steady-state analysis algorithm is used to eliminate the function image noise and analyze and judge the fluctuation state of the function image, and the thermal image analysis algorithm is used to locate different thermal areas and analyze and judge the distribution state of the thermal areas; The operation of the crematorium is regulated according to the central regulation scheme, and the execution result of the operation regulation of the crematorium is fed back to the cloud database.

2. The method for controlling the operating parameters of a crematorium using the Internet of Things according to claim 1, characterized in that: The step of performing visual image conversion according to the preprocessed cremator operation data to obtain the cremator operation status image specifically includes: The pre-processed crematorium operation data is divided into parameter-type operation data and image-type operation data; According to the parameter type, the corresponding function expression is retrieved in the preset function database, so as to generate a function image for the parameter type operation data according to the function expression, so as to obtain the function image of the crematorium operation state, wherein the function image generation includes generating a function image of the temperature parameter type operation data, and the specific algorithm for generating the function image of the temperature parameter type operation data is as follows: ， in, Indicates temperature parameter type operating data, Represents time data, Indicates the heat transfer coefficient in the crematorium furnace, represents the Laplace operator; Channel image extraction is performed on the image-type operation data according to the color channel, and the color channel includes a red channel, a green channel, and a blue channel. The channel image corresponding to each channel is subjected to pixel channel value extraction and pixel value weighting processing to obtain a thermal image of the crematorium operation state. The specific formula for the pixel value weighting processing is as follows: ， in, Represents the pixel value of a single pixel. and Represent the pixel weights of the minimum and maximum values ​​respectively, and represent the minimum and maximum functions respectively, Respectively represent the pixel channel values ​​of a single pixel on the three color channels.

3. The method for controlling the operating parameters of a crematorium using the Internet of Things according to claim 1, characterized in that: The step of judging the operating state of the cremator operating state image according to the parameter steady-state analysis algorithm and the thermal image analysis algorithm to obtain the cremator operating state analysis report specifically includes: The crematorium operating state function image is denoised according to a denoising algorithm, and the specific formula of the denoising algorithm is as follows: ， in, Represents the function value of the crematorium operating status function image after denoising, and Respectively represent the width and height of the denoising window size, and Represent the discrete values ​​of the horizontal and vertical coordinates of the function value, and Respectively represent the horizontal and vertical coordinates of the function value; Then, the operating state of the crematorium operating state function image is judged according to the parameter steady-state analysis algorithm to obtain the first operating state analysis report of the crematorium. The specific formula of the parameter steady-state analysis algorithm is as follows: ， ， ， in, Represents the function value of the crematorium operating status function image after denoising, It represents the mean value of the function value after denoising the crematorium operating status function image. The function fluctuation value representing the function graph of the crematorium operating status, represents the number of function points, Represents the ordinal number of the function point.

4. The method for controlling the operating parameters of a crematorium using the Internet of Things according to claim 1, characterized in that: The step of judging the operating state of the cremator operating state image according to the parameter steady-state analysis algorithm and the thermal image analysis algorithm to obtain the cremator operating state analysis report also includes: The temperature values ​​of all pixels in the thermal image of the cremator running state are calculated, and then the temperature values ​​are calibrated according to the pixel values ​​of the grayscale processed pixels, so as to divide the area of ​​the thermal image of the cremator running state into a high temperature area, a rated temperature area, and a low temperature area. The specific algorithm of the area division is as follows: ， in, The pixel area of ​​the thermal image representing the operating status of the crematorium, , , Respectively represent high temperature area, rated temperature area, and low temperature area. Indicates the temperature value of the pixel in the area. and They respectively represent the minimum temperature threshold and the maximum temperature threshold of the rated operating temperature of the cremator; The operating status of a single area in the high temperature area, the rated temperature area, and the low temperature area is judged according to the thermal image analysis algorithm. The thermal image analysis algorithm is as follows: ， ， ， in, Represents the basic predicted value of temperature fluctuation in a single area, Indicates the correction value for temperature fluctuation in a single area. Indicates the pixel area change value, Indicates the regional temperature change value, Indicates the deviation value, represents the correction slope parameter, Indicates the standard rated temperature value of the crematorium operation. Represents the edge temperature value of a single area, Indicates the air temperature value inside the cremator. Indicates the thermal conductivity of the air in the cremator, represents the correction weight, Represents the refined prediction value of temperature fluctuation in a single region; Obtain refined predictions of temperature fluctuations in all regions to obtain the second operating status analysis report of the crematorium.

5. The method for controlling the operating parameters of a crematorium using the Internet of Things according to any one of claims 3 to 4, characterized in that: After the steps of obtaining the first operation status analysis report of the crematorium and obtaining the second operation status analysis report of the crematorium, the method further includes: Performing a key-value matching operation according to the keywords of the first operating state analysis report of the cremator, and performing parameter adjustment value pairing in the control strategy database according to the search key corresponding to the keyword, so as to screen the adjustment operation instruction set containing the largest number of parameter adjustment items; generating a parameter adjustment scheme according to the adjustment operation instruction set; Alternatively, based on the positioning information and temperature fluctuation information of all pixel points in the second operation status analysis report of the cremator, the spatial area to be temperature-controlled inside the cremator is positioned to obtain distribution information of the area to be controlled; Then, according to the distribution information of the area to be regulated, the control strategy database is retrieved for the relevant control instructions of the area to be regulated; After obtaining the relevant control instruction set, the control distribution value corresponding to the area to be controlled is set according to the refined prediction value of the regional temperature fluctuation change in the second operating state analysis report of the cremator to obtain a distribution adjustment plan.

6. The method for controlling the operating parameters of a crematorium using the Internet of Things according to claim 1, characterized in that: The step of regulating the operation of the cremator according to the central regulation scheme and feeding back the execution result of the cremator operation regulation to the cloud database specifically includes: According to the central control scheme, the control instructions of the temperature parameters and the temperature control parameters are obtained to control the operation of the crematorium according to the adaptive fuzzy control network. The optimization control algorithm of the adaptive fuzzy control network is as follows: ， ， in, represents the error cost value, Indicates the control of the predetermined output value. Indicates the actual output value of the control. represents the time step, represents the central value of the membership function, Represents the learning rate parameter; Feedback the execution results of crematorium operation control to the cloud database; If it is determined that the cremator is in a dangerous operating state, the cremator will be urgently controlled according to the preset safety emergency rules, multi-terminal alarms will be issued and the dangerous operation information will be recorded for backup.

7. The method for controlling the operating parameters of a crematorium using the Internet of Things according to claim 1, characterized in that: The step of performing visual image conversion according to the pre-processed cremator operation data to obtain the cremator operation status image further includes: Make user terminal adjustment judgment based on the crematorium operation status image; If it is determined that the current operating state of the cremator is in an unadjustable state of the user terminal, the user terminal database generates a central adjustment request report according to the unadjustable type to wake up the control strategy database of the IoT hub to make an operating state judgment; If it is determined that the current operating state of the cremator is in a state that can be adjusted by the user terminal, the user terminal database performs comprehensive control on the target cremator according to the user terminal comprehensive control algorithm, and the user terminal comprehensive control algorithm is specifically as follows: ， in, represents the velocity field, represents the scalar pressure, Indicates external force, Indicates the number of components, =(1,2,3), represents a spatial variable, Represents time data.

8. An Internet of Things control system for crematorium operating parameters, characterized in that: include: The acquisition module is used to collect the crematorium operation data and perform pre-processing; A visualization conversion module, used for performing visualization image conversion according to the preprocessed cremator operation data to obtain a cremator operation status image, wherein the visualization image conversion includes operation data function image conversion and operation data thermal image conversion, and the cremator operation status image includes a cremator operation status function image and a cremator operation status thermal image; A central analysis module, used to judge the operating state of the cremator operating state image according to a parameter steady-state analysis algorithm and a thermal image analysis algorithm, so as to obtain a cremator operating state analysis report, and then search the control strategy database according to the cremator operating state analysis report to obtain a central regulation solution, wherein the parameter steady-state analysis algorithm is used to eliminate function image noise and analyze and judge the fluctuation state of the function image, and the thermal image analysis algorithm is used to locate different thermal areas and analyze and judge the distribution state of the thermal areas; The control module is used to control the operation of the crematorium according to the central control plan, and feed back the execution result of the operation control of the crematorium to the cloud database.

9. A storage medium, characterized in that: The storage medium stores one or more programs, which, when executed by the processor, implement the Internet of Things control method for the operating parameters of the crematorium as described in any one of claims 1-7.

10. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein: The memory is used to store computer programs; When the processor is used to execute the computer program stored in the memory, it implements the Internet of Things control method for the crematorium operating parameters described in any one of claims 1-7.

Images