Intelligent control method and system for sludge incinerator

Abstract

The invention discloses an intelligent control method and system for a sludge incinerator, and relates to the field of high-temperature heat treatment.The method comprises the steps that on the basis of preset incinerator rotation time, the organic matter content and the moisture content of sludge in the incinerator are collected regularly; determining a target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different collection times; the actual incineration temperature in the incinerator is collected in real time through a temperature sensor, and the temperature error between the actual incineration temperature and the corresponding target incineration temperature is determined; and according to the temperature error and the preset control item, a control quantity corresponding to the preset control item is obtained through an automatic control algorithm, and the number of the preset control item is adjusted based on the control quantity. By regularly collecting the organic matter content and the moisture content in different sludge states, the fuel quantity and the air flow are accurately adjusted, oxygen consumption and fuel consumption in the incineration process can be reduced, and it can be guaranteed that the sludge is combusted under the optimal condition.

Description

Technical Field

[0001] The present application relates to the field of high-temperature heat treatment technology, and in particular to an intelligent control method and system for a sludge incinerator. Background Art

[0002] With the in-depth research and development of sludge treatment technology, sludge incineration has developed rapidly in recent years and has become the most effective sludge treatment method in the current market. The working principle of sludge incineration is to heat and dry the dehydrated sludge to remove excess water, and then use oxidation reaction in a high temperature environment to completely decompose the organic matter in the sludge into harmless substances, such as carbon dioxide and water vapor, and finally convert the sludge into trace amounts of ash, achieving a significant reduction in sludge.

[0003] The actual working conditions of the sludge incineration process are very complicated. In the actual sludge incineration process, there is no strict boundary for the division of the three stages: drying and heating stage, incineration stage, and burnout stage. Some substances in the sludge in the furnace are still preheating and drying, while some substances have begun to burn and have even reached the burnout stage. This leads to unstable combustion in the furnace. Due to the different combustion states of the sludge in the furnace, some substances are still preheating and drying, some have begun to burn, and some have even reached the burnout stage, which will cause the parameters such as the combustion temperature, flame shape and flue gas composition in the furnace to fluctuate violently. However, in traditional sludge incineration control systems, the operator's experience and intuition are often relied on to manually adjust the temperature, oxygen concentration and fuel addition amount in order to achieve the best incineration effect. This highly dependent mode of manual operation not only greatly increases the complexity and uncertainty of the control process, but also easily leads to consequences such as fluctuations in the incineration effect or substandard emissions due to human errors. Summary of the invention

[0004] In order to solve the above problems, the present application proposes an intelligent control method for a sludge incinerator, comprising:

[0005] Based on the preset incinerator rotation time, the organic matter content and moisture content of the sludge in the incinerator are collected regularly;

[0006] Determining a target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different collection times;

[0007] The actual incineration temperature in the incinerator is collected in real time by a temperature sensor, and a temperature error between the actual incineration temperature and a corresponding target incineration temperature is determined;

[0008] According to the temperature error and the preset control item, a control amount corresponding to the preset control item is obtained through an automatic control algorithm, and the number of the preset control items is adjusted based on the control amount.

[0009] On the other hand, an embodiment of the present invention further provides an intelligent control system for a sludge incinerator, characterized in that the system comprises:

[0010] The sludge data collection module is used to collect the organic matter content and moisture content of the sludge in the incinerator at regular intervals based on the preset incinerator rotation time;

[0011] A target temperature generating module, used for determining a target incineration temperature of the incinerator according to the organic matter content and the water content corresponding to different collection times;

[0012] An actual temperature acquisition module, used to determine the target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different acquisition times;

[0013] The automatic control module is used to determine the target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different collection times.

[0014] The present application proposes an intelligent control method for a sludge incinerator, which can bring the following beneficial effects:

[0015] By regularly collecting the organic matter content and moisture content of sludge in different states, the corresponding target incineration temperature is determined, and the fuel amount and air flow are accurately adjusted according to the target incineration temperature. This can not only reduce the oxygen consumption and fuel consumption during the incineration process, thereby reducing operating costs, but also ensure that the sludge is burned under the best conditions, thereby maximizing the combustion efficiency and thermal efficiency. By optimizing the combustion process, incomplete combustion can be reduced, the generation of unburned substances and harmful gases can be reduced, and energy utilization can be further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 This is a flow chart of an intelligent control method for a sludge incinerator in an embodiment of the present application;

[0018] Figure 2 This is a structural schematic diagram of an intelligent control system for a sludge incinerator in an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0020] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0021] like Figure 1 As shown, the embodiment of the present application provides an intelligent control method for a sludge incinerator, comprising:

[0022] S101: Based on the preset incinerator rotation time, the organic matter content and moisture content of the sludge in the incinerator are collected regularly.

[0023] Specifically, the technical solution disclosed in the present application is applied in an incineration rotary furnace. When the incineration rotary furnace is used to incinerate sludge, the furnace body of the incinerator is usually rotated regularly or irregularly to make the sludge incineration more uniform. The rotation time of the incineration rotary furnace body is set as the collection time, and the organic matter content and moisture content of the sludge already in the furnace body of the incinerator are collected regularly based on the collection time.

[0024] It should be noted that in the incineration rotary kiln, a downstream incineration system is generally selected. The flow direction of the incinerated solid is the same as the flow direction of the flue gas. The sludge incineration equipment slowly rotates the main body at a speed of about several revolutions per minute, and uses the high-temperature resistant lifting plate on the inner wall to bring the sludge from the bottom to the top, and then the sludge falls down by its own weight.

[0025] Among them, the collection of moisture content can be achieved by setting up a microwave sensor. The microwave moisture sensor performs real-time monitoring based on the absorption characteristics of moisture to microwaves. Sludge with high moisture content will absorb more microwave signals, while sludge with low moisture content will absorb less, so that the moisture content can be measured in real time and continuously. The collection of organic matter content can be achieved through near-infrared spectroscopy (NIR) technology. By measuring the absorption of near-infrared light by molecules in the sludge, the organic matter content of the sludge can be estimated. It can be non-destructive, respond quickly, and realize real-time collection of organic matter content.

[0026] It should be noted that when using an incineration rotary kiln to incinerate sludge, each rotation of the furnace body may cause changes in the sludge characteristics of the sludge incineration contact surface. By setting the rotation time of the incineration rotary kiln as the sludge characteristic collection time, the organic matter content and moisture content of the sludge can be collected in time, and the operating parameters of the incinerator can be adjusted according to the changed organic matter content and moisture content, thereby making the sludge incineration more complete and avoiding waste of resources.

[0027] S102: Determine the target incineration temperature of the incinerator according to the organic matter content and the water content corresponding to different collection times.

[0028] Specifically, the organic matter content and moisture content collected at each collection time point are obtained, the calorific value of the sludge is determined based on the organic matter content, and the target incineration temperature of the incinerator is determined based on the calorific value and moisture content, wherein the target incineration temperature is the ideal incineration temperature under the characteristics of the sludge. At the target incineration temperature, the sludge is in the best incineration state.

[0029] It should be noted that different types of sludge have different pyrolysis and combustion characteristics, and the sludge incineration temperature needs to be set according to the sludge characteristics. When the moisture content in the sludge is high, a higher temperature is required to drive off the moisture and perform pyrolysis. The evaporation temperature of the moisture is approximately between 100°C and 200°C, and complete drying requires a higher temperature. Organic matter (such as fat, carbohydrates, proteins, etc.) requires a higher temperature to burn, usually between 500°C and 800°C. When completely oxidizing organic matter, too low a temperature may result in incomplete combustion and produce a large amount of harmful gases (such as CO and NOx).

[0030] More specifically, the organic matter content and moisture content collected at multiple collection time points are obtained respectively, and the basic temperature range of the incinerator temperature corresponding to a collection time point is determined according to the organic matter content and moisture content at a collection time point. Based on the organic matter content, moisture content and basic temperature range, the target incineration temperature corresponding to multiple collection time points is predicted through a converged multivariate linear regression model.

[0031] It should be noted that the basic temperature range for incineration is set according to the moisture content and organic matter content of the sludge and the temperature requirements for sludge incineration. Within the basic temperature range, the combustion of organic matter and the evaporation of moisture can be guaranteed.

[0032] Before predicting the target incineration temperature, the organic matter content and moisture content are set as independent variable factors, and the target incineration temperature is set as the dependent variable factor. Based on the independent variable factors and the dependent variable, the formula T is obtained. target =T base +α·M water +β·M org , where Ttarget is the target combustion temperature T base The base temperature M water is the moisture content M org For the organic matter content.

[0033] A multivariate linear regression model is constructed according to the above formula to obtain the historical incineration data of the incinerator. The historical incineration data include organic matter content, moisture content and actual incineration temperature. The historical organic matter content and historical moisture content are input into the multivariate linear regression model to obtain the predicted target incineration temperature output by the multivariate linear regression model. Based on the error between the predicted target incineration temperature and the historical actual incineration temperature, the regression coefficient of the multivariate linear regression model is adjusted until the multivariate linear regression model converges.

[0034] After predicting the target incineration temperature, the preset maximum temperature and the preset minimum temperature are determined based on the sludge incineration standard, and it is judged whether the predicted target incineration temperature is higher than the preset maximum temperature or lower than the preset minimum temperature. If so, the target incineration temperature corresponding to the collection time point is re-predicted through the converged multivariate linear regression model. If not, the predicted target incineration temperature is set as the target incineration temperature corresponding to the collection time point.

[0035] S103: The actual incineration temperature in the incinerator is collected in real time by a temperature sensor, and a temperature error between the actual incineration temperature and a corresponding target incineration temperature is determined.

[0036] Specifically, the structure of the incinerator body is analyzed according to the temperature distribution standard, including the design specifications and operating requirements of the incinerator, to determine the temperature collection points in the furnace body that can most effectively reflect the temperature distribution in the furnace body, and pre-deploy temperature sensors at the temperature collection points. The temperatures of different areas in the incinerator are collected in real time through the temperature sensors deployed at different temperature collection points.

[0037] Furthermore, the current actual incineration temperature of different areas in the incinerator at the current collection time point is collected, and the previous target incineration temperature corresponding to the previous collection time point is obtained. The current actual incineration temperature of different areas is compared with the previous target incineration temperature to obtain the temperature error corresponding to different areas in the incinerator. According to the temperature error corresponding to different areas, the amount of fuel and the air in the corresponding area are adjusted as much as possible, so that the sludge is incinerated more fully in the entire furnace of the incinerator.

[0038] S104: According to the temperature error and the preset control item, a control amount corresponding to the preset control item is obtained through an automatic control algorithm, and the number of the preset control items is adjusted based on the control amount.

[0039] Specifically, a preset control item is obtained, the preset control item includes fuel and air, the fuel type of the fuel is obtained, and the influence of the preset control item on the temperature in the incinerator is determined according to the fuel type. According to the temperature errors corresponding to different areas in the incinerator and the influence degree, the control amount corresponding to the preset control item is calculated through an automatic control algorithm.

[0040] Among them, in this application specification, the automatic control algorithm used is the proportional-integral-differential (PID) control algorithm, through the formula Calculate the control quantity of the preset control item. Where u(t) is the control quantity, e(t) is the temperature error, e(r) is the historical temperature error, K p It refers to the response degree of the control quantity to the current temperature error, K i Refers to the cumulative response of the PID controller to the historical temperature error, K d Refers to the response of the PID controller to the rate of change of the temperature error. By using an automated control algorithm, the control item can be dynamically adjusted according to the real-time temperature error to ensure that the furnace temperature during the sludge incineration process is stable within the set range.

[0041] Furthermore, the operating parameters of the incinerator are collected in real time and input into the trained machine learning model. The machine learning model performs real-time monitoring and diagnosis based on the changing trends and abnormal values ​​of the operating parameters. When the parameters are monitored to exceed the preset safety range or a failure mode occurs, the model will trigger an alarm and output the diagnosis results.

[0042] Furthermore, the actual incineration temperature is monitored in real time based on the preset maximum incineration temperature. When the actual incineration temperature is higher than the maximum incineration temperature, the alarm warning mechanism is triggered, the alarm information is sent to the manager of the incinerator in a preset manner, and the alarm event is recorded.

[0043] By regularly collecting the organic matter content and moisture content of sludge in different states, the corresponding target incineration temperature is determined, and the fuel amount and air flow are accurately adjusted according to the target incineration temperature. This can not only reduce the oxygen consumption and fuel consumption during the incineration process, thereby reducing operating costs, but also ensure that the sludge is burned under the best conditions, thereby maximizing the combustion efficiency and thermal efficiency. By optimizing the combustion process, incomplete combustion can be reduced, the generation of unburned substances and harmful gases can be reduced, and energy utilization can be further improved.

[0044] In addition, the embodiment of the present invention also provides an intelligent control system for a sludge incinerator, such as Figure 2 As shown, the intelligent control system 200 of the sludge incinerator specifically includes:

[0045] The sludge data collection module 210 is used to collect the organic matter content and moisture content of the sludge in the incinerator at a fixed time based on the preset incinerator rotation time;

[0046] A target temperature generating module 220, for determining a target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different collection times;

[0047] The actual temperature acquisition module 230 is used to determine the target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different acquisition times;

[0048] The automatic control module 240 is used to determine the target incineration temperature of the incinerator according to the organic matter content and the water content corresponding to different collection times.

[0049] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0050] For the convenience of description, the above device is described by dividing it into various units according to its functions. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0051] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0052] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0053] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0054] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0055] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0056] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0057] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0058] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0059] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A sludge incinerator intelligent control method, characterized in that: include: Based on the preset incinerator rotation time, the organic matter content and moisture content of the sludge in the incinerator are collected regularly; Determining a target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different collection times; The actual incineration temperature in the incinerator is collected in real time by a temperature sensor, and a temperature error between the actual incineration temperature and a corresponding target incineration temperature is determined; According to the temperature error and the preset control item, a control amount corresponding to the preset control item is obtained through an automatic control algorithm, and the number of the preset control items is adjusted based on the control amount.

2. The intelligent control method of a sludge incinerator according to claim 1 is characterized in that: Determining the target incineration temperature of the incinerator according to the organic matter content and the water content corresponding to different collection times specifically includes: The organic matter content and water content collected at multiple collection time points are obtained respectively; Determine the basic temperature range to which the incinerator temperature corresponding to the collection time point belongs according to the organic matter content and the moisture content; Based on the organic matter content, the moisture content and the basic temperature range, the target incineration temperatures corresponding to the multiple collection time points are predicted through a converged multivariate linear regression model.

3. The intelligent control method of a sludge incinerator according to claim 2 is characterized in that: Before determining the target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different collection times, the method further includes: constructing a multiple linear regression model based on the organic matter content, the moisture content and the target incineration temperature; Acquiring historical incineration data of the incinerator, wherein the historical incineration data includes historical organic matter content, historical moisture content and historical actual incineration temperature; Inputting the historical organic matter content and the historical moisture content into the multiple linear regression model to obtain a predicted target incineration temperature output by the multiple linear regression model; Based on the error between the predicted target incineration temperature and the historical actual incineration temperature, the regression coefficient of the multiple linear regression model is adjusted until the multiple linear regression model converges.

4. The intelligent control method of a sludge incinerator according to claim 2 is characterized in that: After predicting the target incineration temperatures corresponding to the multiple acquisition time points by using the converged multivariate linear regression model, the method further includes: Determine the preset maximum temperature and the preset minimum temperature based on the sludge incineration standard; Determine whether the predicted target incineration temperature is higher than a preset maximum temperature or lower than a preset minimum temperature; If so, the target incineration temperature corresponding to the collection time point is re-predicted through the converged multiple linear regression model.

5. The intelligent control method of a sludge incinerator according to claim 1 is characterized in that: The real-time acquisition of the actual incineration temperature in the incinerator by the temperature sensor specifically includes: Analyze the structure of the incinerator according to the temperature distribution standard, determine the temperature collection points of the incinerator, and pre-deploy temperature sensors at the temperature collection points; The temperatures of different areas in the incinerator are collected in real time by temperature sensors deployed at different temperature collection points.

6. The intelligent control method of a sludge incinerator according to claim 5 is characterized in that: Determining the temperature error between the actual incineration temperature and the corresponding target incineration temperature specifically includes: Collecting the current actual incineration temperature of different areas in the incinerator at the current collection time point; Obtain the last target incineration temperature corresponding to the last acquisition time point; The current actual incineration temperatures of the different areas are respectively compared with the previous target incineration temperatures to obtain temperature errors corresponding to the different areas in the incinerator.

7. The intelligent control method of a sludge incinerator according to claim 6 is characterized in that: The step of obtaining a control quantity corresponding to the preset control item through an automatic control algorithm according to the temperature error and the preset control item specifically includes: The preset control items include fuel and air; Acquiring the fuel type of the fuel, and determining the influence of the preset control item on the temperature in the incinerator according to the fuel type; According to the temperature errors corresponding to different areas in the incinerator and the degree of influence, the control quantity corresponding to the preset control item is calculated through an automatic control algorithm.

8. The intelligent control method of a sludge incinerator according to claim 1 is characterized in that: After adjusting the number of the preset control items based on the control amount, the method further includes: The operating parameters of the incinerator are collected in real time, and fault prediction of the incinerator is performed based on the operating parameters through a machine learning model.

9. The intelligent control method of a sludge incinerator according to claim 1, characterized in that: After adjusting the number of the preset control items based on the control amount, the method further includes: Performing real-time monitoring of the actual incineration temperature based on a preset maximum incineration temperature; When the actual incineration temperature is higher than the maximum incineration temperature, the alarm warning mechanism is triggered, the alarm information is sent to the manager of the incinerator in a preset manner, and the alarm event is recorded.

10. A sludge incinerator intelligent control system, characterized in that: The system comprises: The sludge data collection module is used to collect the organic matter content and moisture content of the sludge in the incinerator at regular intervals based on the preset incinerator rotation time; A target temperature generating module, used to determine the target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different collection times; An actual temperature acquisition module, used to determine the target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different acquisition times; The automatic control module is used to determine the target incineration temperature of the incinerator according to the organic matter content and the moisture content corresponding to different collection times.

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