Statistical system and method for wear of catalyst in denitration reactor

Abstract

The invention provides a statistical system and method for wear of a catalyst in a denitration reactor, and the system comprises a catalyst collection module which is integrated on an unmanned aerial vehicle and is used for controlling the unmanned aerial vehicle to collect real-time data of the catalyst in the denitration reactor, obtaining the collection time, and associating the collection time with the real-time data; and the wear counting module is used for counting the wear depth and the wear area of the catalyst according to real-time data, and making a wear monitoring chart according to the wear depth and the wear area. According to the system, the unmanned aerial vehicle is controlled to fly in the denitration reactor through the catalyst acquisition module integrated on the unmanned aerial vehicle, real-time data of the catalyst are obtained, the inspection time in the denitration reactor is shortened, and the abrasion depth and the abrasion area of the catalyst are counted through the abrasion statistics module according to real-time images; and a wear monitoring chart is made, so that detection personnel can intuitively know the wear condition of the catalyst in the denitration reactor, and the inspection efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of coal-fired air pollutant prevention and control, and in particular to a catalyst wear statistics system and method for a denitration reactor. Background Art

[0002] During the operation of the denitrification reactor, the performance status of the catalyst, as a core component, directly affects the denitrification efficiency and the operation effect of the overall system; the wear of the catalyst is a key indicator that requires close attention, because wear will not only reduce the activity of the catalyst and shorten its service life, but may also lead to a significant decrease in the denitrification efficiency, thereby affecting the compliance of emissions with standards and environmental regulations.

[0003] The traditional method of calculating catalyst wear statistics mainly relies on manual inspections, but this method has many limitations when facing large-scale denitrification reactors. First, the reactor usually has a large cross-section and a relatively narrow height space, which makes it difficult for inspectors to enter and fully inspect every part of the catalyst layer. In addition, the interior of the reactor is often filled with high concentrations of dust and harmful gases, which not only poses a serious threat to the health of inspectors, but also greatly reduces the efficiency and accuracy of inspections.

[0004] Another significant drawback of manual inspections is that it is difficult to achieve real-time monitoring and comprehensive coverage. Since the reactor operates continuously and manual inspections can usually only be performed periodically, it is difficult to detect catalyst wear in a timely manner and deal with it. This lag will lead to further deterioration of wear and even cause more serious failures or downtime accidents. Summary of the invention

[0005] In order to solve the problem that the catalyst in the denitration reactor has a long wear time and cannot be discovered in time during the existing manual inspection, which leads to further deterioration of the wear, the present invention provides a system and method for counting the catalyst wear in the denitration reactor.

[0006] To achieve the above object, the present invention provides the following technical solutions: The present invention proposes a catalyst wear statistics system for a denitration reactor, comprising: A catalyst collection module integrated on the drone, used to control the drone to collect real-time data of the catalyst in the denitration reactor, obtain the collection time, and associate the collection time with the real-time data; The wear statistics module is used to count the wear depth and wear area of ​​the catalyst through real-time data, and to produce a wear monitoring diagram based on the wear depth and the wear area.

[0007] Preferably, the wear statistics module includes a first model building unit, a second model building unit, a first statistics unit, a second statistics unit and a third statistics unit; The first model building unit is used to build an initial catalyst model based on initial data of the catalyst; The second model building unit is used to build a catalyst real-time model through real-time data; The first statistical unit is used to compare the real-time model with the initial catalyst model, and obtain the real-time wear depth of the catalyst and mark the wear area on the catalyst surface by statistics; The second statistical unit is used to count the area of ​​the wear region to obtain the real-time wear area; The third statistical unit is used to determine the real-time level of wear depth corresponding to the real-time wear depth based on the preset wear depth level, determine the real-time level of wear area corresponding to the real-time wear area based on the preset wear area level, and generate a wear monitoring map based on the real-time level of wear depth and the real-time level of wear area; The first storage unit is used to store the wear monitoring diagram and sort the wear monitoring diagram based on the collection time.

[0008] Preferably, the wear statistics module further includes a data management unit and a second storage unit; The data management unit is used to enable the management personnel to query the wear monitoring map and generate query information based on the query time; The second storage unit is used to store query information.

[0009] Preferably, the wear statistics module further includes a verification unit; The verification unit includes a first processing unit, a third storage unit, and a second processing unit; The first processing unit is used to determine the area position of the catalyst surface to be inspected again through the wear area, and obtain sub-image data of the area position corresponding to the catalyst surface; The second processing unit is used to compare the sub-image data with the catalyst deposit image data stored in the third storage unit to remove the erroneously determined wear area.

[0010] Preferably, the third statistical unit includes a threshold setting subunit, a level judgment subunit and a level spectrum fitting unit; The threshold setting subunit is used to set the wear depth level and the wear area level; The level judgment subunit is used to compare the real-time wear depth with the wear depth level to determine the real-time wear depth level; compare the real-time wear area with the wear area level to determine the real-time wear area level; The grade map fitting unit is used to mark the real-time grade of wear depth and the real-time grade of wear area with colors, and fit the marked real-time grade of wear depth and the real-time grade of wear area to produce a wear monitoring map.

[0011] Preferably, the wear depth level set in the threshold preset subunit is set as level one wear depth, level two wear depth, level three wear depth, and level four wear depth, wherein level one wear depth is greater than or equal to 15 cm, level two wear depth is 10-15 cm, level three wear depth is 5 cm-10 cm, and level four wear depth is less than or equal to 5 cm; The wear area levels are set in the threshold preset subunit as primary area wear, secondary area wear, tertiary area wear, and quaternary area wear, wherein primary area wear means that the wear area is greater than or equal to 50% of the catalyst thickness value, secondary area wear means that the wear area is 30% to 50% of the catalyst thickness value, tertiary area wear means that the wear area is 10% to 30% of the catalyst thickness value, and quaternary area means that the wear area is less than or equal to 10% of the catalyst thickness value.

[0012] Preferably, the catalyst acquisition module includes a drone body, a path planning unit, an image acquisition unit and an image processing unit; The path planning unit is used to plan the flight path of the drone body according to the structural data of the out-of-stock reactor and the initial data of the catalyst; The image acquisition unit is installed on the drone, and collects image data of the catalyst and real-time size data of the catalyst by controlling the drone to fly along a flight path in the destocking reactor; The image processing unit is used to perform denoising and feature extraction on the image data, and then obtain the real-time data of the catalyst in the denitration reactor in combination with the real-time size data.

[0013] Preferably, the catalyst collection module further comprises a temperature processing unit; the temperature processing unit comprises a temperature collection subunit and a temperature integration subunit; The temperature acquisition subunit is used to collect temperature data on the catalyst surface; The temperature integration subunit is used to collect the temperature area on the catalyst surface where the temperature data is located, and associate the temperature area with the temperature data to produce a catalyst temperature map.

[0014] Preferably, the system further comprises a wear analysis module, which comprises a data preprocessing unit, a strategy formulation unit and a temperature loss analysis unit; The temperature loss analysis unit is used to determine the degree of influence of temperature on catalyst wear by comparing and analyzing the wear monitoring diagram with the catalyst temperature spectrum; The data preprocessing unit is used to determine catalyst wear minimum temperature data through wear influence degree data; The strategy formulation unit is used to formulate a temperature adjustment strategy in the destocking reactor according to the catalyst wear minimum temperature data.

[0015] The present invention proposes a statistical method for catalyst wear in a denitration reactor, comprising the following steps: Collect real-time data of the catalyst in the denitrification reactor through drones; Counting the wear depth and wear area of ​​the catalyst based on the real-time data; A wear monitoring map is produced based on the wear depth and the wear area.

[0016] Compared with the prior art, the present invention has the following beneficial technical effects: The present invention proposes a catalyst wear statistics system for a denitrification reactor. The system controls the drone to fly in the denitrification reactor through a catalyst collection module integrated on the drone to obtain real-time data of the catalyst. The workload of inspection personnel can be reduced by controlling the drone. At the same time, the drone can shorten the inspection time in the denitrification reactor and improve the inspection efficiency. The real-time image uses the wear statistics module to calculate the wear depth and wear area of ​​the catalyst, and the wear monitoring diagram is made to enable the inspection personnel to intuitively understand the wear condition of the catalyst in the denitrification reactor, and then formulate a corresponding repair plan based on the wear condition, thereby improving the statistical efficiency of catalyst wear and reducing costs.

[0017] Furthermore, the system can respectively construct an initial model and a real-time model of the catalyst based on the initial data and real-time data of the catalyst through the collaborative work of the first model building unit and the second model building unit. The first statistical unit can accurately calculate the real-time wear depth of the catalyst and accurately mark the wear area on the catalyst surface through a detailed comparison between the real-time model and the initial model, thereby improving the accuracy of wear detection. The second statistical unit further calculates the area of ​​the wear area to obtain the real-time wear area. The dual monitoring of the real-time wear area and the wear depth can more comprehensively evaluate the degree of wear of the catalyst. The third statistical unit uses the preset wear depth level and wear area level to correspond the real-time wear data to the level standard and produce a wear monitoring graph. The wear monitoring graph can clearly reflect the wear trend and condition of the catalyst.

[0018] Furthermore, the system enables management personnel to easily query wear monitoring diagrams and generate query information instantly through the data management unit, which greatly facilitates data management and tracking.

[0019] Furthermore, the system determines the location of the area to be inspected again by judging the sub-unit, and obtains the sub-image data of the corresponding area, and then compares it with the catalyst attachment image data stored in the third storage unit. It can effectively remove the misidentified wear area, thereby ensuring the accuracy of the wear statistics results and improving the accuracy of wear monitoring.

[0020] Furthermore, the system sets the wear depth level and the wear area level through the threshold preset sub-unit, and the level judgment sub-unit can accurately compare the real-time wear depth with the wear depth level, the real-time wear area with the wear area level, and quickly and accurately determine the real-time level of wear depth and the real-time level of wear area. The level map fitting unit uses color to mark the real-time level of wear depth and the real-time level of wear area, so that the wear condition is clear at a glance, and the marked level information is fitted to produce an intuitive and easy-to-understand wear monitoring graph, which improves the intuitiveness of wear monitoring, enables inspection personnel to intuitively understand the wear condition of the catalyst, and provides wear statistical efficiency.

[0021] Furthermore, the system uses a path planning unit to scientifically plan the flight path of the drone body based on the structural data of the deNOx reactor and the initial data of the catalyst, ensuring the comprehensiveness and pertinence of the collection work. The image acquisition unit is mounted on the drone and can fly along the planned path to penetrate deep into the deNOx reactor and accurately collect the image data and real-time size data of the catalyst. The image processing unit denoises and extracts features from the collected image data, effectively improving the clarity and availability of the data.

[0022] Furthermore, the system can accurately collect temperature data on the catalyst surface through the temperature acquisition subunit, providing an important basis for evaluating the working status of the catalyst. The temperature integration subunit associates the temperature data with the temperature area on the catalyst surface to produce an intuitive catalyst temperature map, so that the inspectors can clearly understand the temperature distribution on the catalyst surface and promptly discover abnormal temperature areas. At the same time, the generation of the catalyst temperature map also provides a more comprehensive data reference for subsequent wear statistics and analysis, which helps to improve the accuracy and efficiency of wear monitoring.

[0023] Furthermore, the system can accurately determine the degree of influence of temperature on catalyst wear by comparing and analyzing the wear monitoring diagram and the catalyst temperature map through the temperature loss analysis unit. The data preprocessing unit uses these influence degree data to determine the temperature with minimum catalyst wear. The strategy formulation unit formulates a targeted denitrification reactor temperature adjustment strategy based on the catalyst wear minimum temperature data, which helps to reduce catalyst wear and extend its service life, thereby improving denitrification efficiency and economy.

[0024] The present invention proposes a statistical method for catalyst wear in a denitrification reactor. The method uses an unmanned aerial vehicle to efficiently collect real-time data, accurately counts the wear depth and wear area, and produces a wear monitoring graph based on the wear depth and wear area, thereby achieving comprehensive and intuitive monitoring of the catalyst wear condition. This allows testing personnel to intuitively understand the catalyst wear condition, thereby improving the statistical efficiency of catalyst wear in the denitrification reactor. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a schematic diagram of the process flow of a catalyst wear statistics system in a denitration reactor proposed by the present invention. DETAILED DESCRIPTION

[0026] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0027] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0028] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0029] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection, or a communication; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0030] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0031] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0032] See also Figure 1 The present invention proposes a catalyst wear statistics system for a denitration reactor. The system includes a catalyst collection module and a wear statistics module integrated on a drone. The catalyst collection module is communicatively connected to the wear statistics module; the catalyst collection module is used to control the drone to collect real-time data of the catalyst in the denitration reactor, and obtain the collection time, and associate the collection time with the real-time data; the wear statistics module is used to count the wear depth and wear area of ​​the catalyst through real-time data, and to make a wear monitoring diagram through the wear depth and wear area; the real-time data of the catalyst in the denitration reactor is collected in real time by the catalyst collection module, so that the real-time detection of the catalyst is realized, and then the real-time status of the catalyst is obtained, so that the statistical catalyst wear data is more accurate and reliable, and the wear statistics module is used to count the real-time data, determine the wear depth and wear area, and then make a wear monitoring diagram through the wear depth and wear area, so that the inspection personnel can intuitively understand the wear condition of the catalyst in the denitration reactor, and then formulate corresponding repair plans and measures.

[0033] The catalyst acquisition module includes a path planning unit, an image acquisition unit and an image processing unit; wherein the path planning unit is used to plan the flight path of the UAV body through the structural data of the out-of-stock reactor (such as size, shape, internal layout, etc.) and the initial data of the catalyst (such as position, type, quantity, etc.), that is, the overall flight area of ​​the UAV is determined by the size and shape of the out-of-stock reactor, and the path area for the UAV data collection flight is determined in the overall flight area by the internal layout in the structural data of the out-of-stock reactor, the position of the catalyst, the number and type of the position, and the flight path of the UAV is set by the path area.

[0034] The image acquisition unit is installed on the UAV, and the image data of the catalyst is collected by controlling the UAV to fly along the flight path in the destocking reactor; the image acquisition unit is a high-definition camera and a laser scanner, and the image data of the catalyst is collected by the high-definition camera, and the real-time size data of the catalyst is obtained by the laser scanner; The image processing unit uses the median filtering algorithm set therein to denoise the image data to reduce the impact of noise on image quality, and uses its inner edge detection to extract features from the denoised image, extracts texture feature data of the catalyst in the image, fits the texture feature data with the real-time size data, and obtains real-time data of the catalyst in the denitrification reactor.

[0035] Furthermore, in this embodiment, the catalyst acquisition module also includes a temperature processing unit; the temperature processing unit includes a temperature acquisition subunit and a temperature integration subunit; the temperature acquisition subunit is used to collect temperature data on the catalyst surface; the temperature integration subunit is used to collect the temperature area on the catalyst surface where the temperature data is located, and associate the temperature area with the temperature data to produce a catalyst temperature map, which can be clearly connected to the temperature distribution information inside the catalyst through the catalyst temperature map.

[0036] In this embodiment, the wear statistics module includes a first model building unit, a second model building unit, a first statistics unit, a second statistics unit and a third statistics unit; The first model building unit is used to build an initial catalyst model based on the initial data of the catalyst (such as shape, size, material, initial performance parameters, etc.) using a mathematical modeling method; the initial catalyst model represents the expected performance and behavior of the catalyst in a brand new state.

[0037] The second model building unit is used to acquire the real-time data collected in the catalyst acquisition module to build a real-time model of the catalyst; a real-time initial model is constructed through the real-time size data in the real-time data, modeling is performed in the real-time initial model through the texture feature data, the real-time initial model is refined, and a real-time model of the catalyst is constructed.

[0038] The first statistical unit loads the catalyst initial model and the real-time model, compares the real-time model with the catalyst initial model, records the speed difference between the catalyst initial model and the real-time model, obtains the real-time wear depth of the catalyst by statistics, compares the difference area between the catalyst initial model and the real-time model, marks the difference area, and obtains the wear area on the catalyst surface; The second statistical unit receives the wear area output by the first statistical unit, counts the geometric dimensions of the wear area, calculates the area of ​​the wear area by using the geometric dimensions and the area calculation model set therein, counts the area of ​​the wear area, and obtains the real-time wear area; The third statistical unit receives the real-time wear depth and the real-time wear area output by the first and second statistical units, and is used to determine the real-time wear depth level corresponding to the real-time wear depth based on the preset wear depth level, classify the calculated real-time wear depth according to the preset wear depth level, determine the real-time wear area level corresponding to the real-time wear area based on the preset wear area level, classify the calculated real-time wear area according to the preset wear area level, and generate a wear monitoring map based on the real-time wear depth level and the real-time wear area level; The third statistical unit includes a threshold preset subunit, a level judgment subunit and a level spectrum fitting unit; The threshold preset subunit is used to set the wear depth level and the wear area level; wherein the wear depth level set in the threshold preset subunit is set as level one wear depth, level two wear depth, level three wear depth, and level four wear depth, wherein level one wear depth is greater than or equal to 15 cm, level two wear depth is 10-15 cm, level three wear depth is 5 cm-10 cm, and level four wear depth is less than or equal to 5 cm; The wear area levels are set in the threshold preset subunit as primary area wear, secondary area wear, tertiary area wear, and quaternary area wear, wherein primary area wear refers to a wear area that is greater than or equal to 50% of the catalyst thickness value, secondary area wear refers to a wear area that is 30% to 50% of the catalyst thickness value, tertiary area wear refers to a wear area that is 10% to 30% of the catalyst thickness value, and quaternary area refers to a wear area that is less than or equal to 10% of the catalyst thickness value.

[0039] The level judgment subunit is used to compare the real-time wear depth with the wear depth level to determine the real-time level of the wear depth; compare the real-time wear area with the wear area level to determine the real-time level of the wear area; that is, compare the real-time wear depth with the first-level deep wear, the second-level deep wear, the third-level deep wear, and the fourth-level deep wear to determine to which level the real-time wear depth belongs among the first-level deep wear, the second-level deep wear, the third-level deep wear, and the fourth-level deep wear, and determine the real-time level of the wear depth; compare the real-time wear area with the first-level area wear, the second-level area wear, the third-level area wear, and the fourth-level area wear to determine to which level the real-time wear area belongs among the first-level area wear, the second-level area wear, the third-level area wear, and the fourth-level area wear, and determine the real-time level of the wear area.

[0040] The grade map fitting unit is used to mark the real-time grade of wear depth and the real-time grade of wear area with colors, that is, different grades are marked with colors of different depths, and the marking colors of level one depth wear and level one area wear are the darkest, and the marking colors of level four depth wear and level four area wear are the lightest. The marked real-time grade of wear depth and the real-time grade of wear area are fitted on a map to produce a wear monitoring map; the wear monitoring map reflects the wear conditions of various positions on the catalyst.

[0041] The first storage unit is used to store the wear monitoring diagram, and sort the wear monitoring diagram based on the collection time, so as to facilitate the inspection personnel to check and shorten the search time.

[0042] Furthermore, the wear statistics module also includes a verification unit; the verification unit includes a first processing unit, a third storage unit and a second processing unit; the judgment subunit is used to determine the regional position of the catalyst surface for re-inspection through the wear area, and obtain sub-image data of the corresponding regional position of the catalyst surface; the second processing unit is used to compare the sub-image data with the catalyst attachment image data stored in the third storage unit to remove the incorrectly determined wear area.

[0043] Furthermore, the wear statistics module also includes a data management unit and a second storage unit; the data management unit is used to enable management personnel to query the wear monitoring diagram and generate query information based on the query time; the second storage unit is used to store the query information.

[0044] Preferably, in this example, the system also includes a wear analysis module, which includes a data preprocessing unit, a strategy formulation unit and a temperature loss analysis unit; the temperature loss analysis unit is used to determine the data on the degree of influence of temperature on catalyst wear by comparing and analyzing the wear monitoring diagram with the catalyst temperature spectrum; the data preprocessing unit is used to determine the minimum catalyst wear temperature data through the wear influence data; the strategy formulation unit is used to formulate a temperature adjustment strategy in the destocking reactor through the minimum catalyst wear temperature data.

[0045] The present invention proposes a statistical method for catalyst wear in a denitration reactor, comprising the following steps: Collect real-time data of the catalyst in the denitrification reactor through drones; Specifically, the drone flies along the flight path in the denitration reactor to collect image data and real-time size data of the catalyst, and performs denoising and feature extraction on the image data to obtain texture feature data; the texture feature data is fitted with the real-time size data to obtain real-time data of the catalyst in the denitration reactor; Counting the wear depth and wear area of ​​the catalyst based on the real-time data; Specifically, an initial catalyst model is constructed based on the acquired initial data of the catalyst (such as shape, size, material, initial performance parameters, etc.); a real-time initial model is constructed using real-time size data, and modeling is performed in the real-time initial model using texture feature data, the real-time initial model is refined, and a real-time model of the catalyst is constructed; the real-time model is compared with the initial catalyst model, the speed difference between the initial catalyst model and the real-time model is recorded, the real-time wear depth of the catalyst is obtained by statistics, the difference areas between the initial catalyst model and the real-time model are compared, the difference areas are marked, and the wear area on the catalyst surface is obtained; the geometric dimensions of the wear area are counted, and the area of ​​the wear area is calculated using the area calculation model set therein through the geometric dimensions, and the area of ​​the wear area is counted to obtain the real-time wear area.

[0046] A wear monitoring map is produced based on the wear depth and the wear area.

[0047] Specifically, the real-time wear depth is compared with the wear depth grade to determine the real-time wear depth grade; the real-time wear area is compared with the wear area grade to determine the real-time wear area grade; the real-time wear depth grade and the real-time wear area grade are marked with colors, and the marked real-time wear depth grade and the real-time wear area grade are fitted on a graph to produce a wear monitoring graph.

[0048] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0049] In addition, it should be understood that although this specification is described in accordance with the implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art. The above content is only to illustrate the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution according to the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A statistical system for catalyst wear in a denitration reactor, characterized in that: include: A catalyst collection module integrated on the drone, used to control the drone to collect real-time data of the catalyst in the denitration reactor, obtain the collection time, and associate the collection time with the real-time data; The wear statistics module is used to count the wear depth and wear area of ​​the catalyst through real-time data, and to produce a wear monitoring diagram based on the wear depth and the wear area.

2. A statistical system for catalyst wear in a denitration reactor according to claim 1, characterized in that: The wear statistics module includes a first model building unit, a second model building unit, a first statistics unit, a second statistics unit and a third statistics unit; The first model building unit is used to build an initial catalyst model based on initial data of the catalyst; The second model building unit is used to build a catalyst real-time model through real-time data; The first statistical unit is used to compare the real-time model with the initial catalyst model, and obtain the real-time wear depth of the catalyst and mark the wear area on the catalyst surface by statistics; The second statistical unit is used to count the area of ​​the wear region to obtain the real-time wear area; The third statistical unit is used to determine the real-time level of wear depth corresponding to the real-time wear depth based on the preset wear depth level, determine the real-time level of wear area corresponding to the real-time wear area based on the preset wear area level, and generate a wear monitoring map based on the real-time level of wear depth and the real-time level of wear area; The first storage unit is used to store the wear monitoring diagram and sort the wear monitoring diagram based on the collection time.

3. A statistical system for catalyst wear in a denitration reactor according to claim 2, characterized in that: The wear statistics module also includes a data management unit and a second storage unit; The data management unit is used to enable the management personnel to query the wear monitoring map and generate query information based on the query time; The second storage unit is used to store query information.

4. A statistical system for catalyst wear in a denitration reactor according to claim 2, characterized in that: The wear statistics module also includes a verification unit; The verification unit includes a first processing unit, a third storage unit, and a second processing unit; The first processing unit is used to determine the area position of the catalyst surface to be inspected again through the wear area, and obtain sub-image data of the area position corresponding to the catalyst surface; The second processing unit is used to compare the sub-image data with the catalyst deposit image data stored in the third storage unit to remove the erroneously determined wear area.

5. The catalyst wear statistics system for a denitration reactor according to claim 2, characterized in that: The third statistical unit includes a threshold setting subunit, a level judgment subunit and a level spectrum fitting unit; The threshold setting subunit is used to set the wear depth level and the wear area level; The level determination subunit is used to compare the real-time wear depth with the wear depth level to determine the real-time wear depth level; Comparing the real-time wear area with the wear area grade to determine the real-time wear area grade; The grade map fitting unit is used to mark the real-time grade of wear depth and the real-time grade of wear area with colors, and fit the marked real-time grade of wear depth and the real-time grade of wear area to produce a wear monitoring map.

6. A statistical system for catalyst wear in a denitration reactor according to claim 5, characterized in that: The wear depth level is set in the threshold preset subunit as level one wear depth, level two wear depth, level three wear depth, and level four wear depth, wherein level one wear depth is greater than or equal to 15 cm, level two wear depth is 10-15 cm, level three wear depth is 5 cm-10 cm, and level four wear depth is less than or equal to 5 cm; The wear area levels are set in the threshold preset subunit as primary area wear, secondary area wear, tertiary area wear, and quaternary area wear, wherein primary area wear means that the wear area is greater than or equal to 50% of the catalyst thickness value, secondary area wear means that the wear area is 30% to 50% of the catalyst thickness value, tertiary area wear means that the wear area is 10% to 30% of the catalyst thickness value, and quaternary area means that the wear area is less than or equal to 10% of the catalyst thickness value.

7. A statistical system for catalyst wear in a denitration reactor according to claim 6, characterized in that: The catalyst acquisition module includes a path planning unit, an image acquisition unit and an image processing unit; The path planning unit is used to plan the flight path of the drone body according to the structural data of the out-of-stock reactor and the initial data of the catalyst; The image acquisition unit is installed on the drone, and collects image data and real-time size data of the catalyst by controlling the drone to fly along a flight path in the destocking reactor; The image processing unit is used to perform denoising and feature extraction on the image data, and then obtain the real-time data of the catalyst in the denitration reactor in combination with the real-time size data.

8. A statistical system for catalyst wear in a denitration reactor according to claim 7, characterized in that: The catalyst collection module also includes a temperature processing unit; The temperature processing unit includes a temperature acquisition subunit and a temperature integration subunit; The temperature acquisition subunit is used to collect temperature data on the catalyst surface; The temperature integration subunit is used to collect the temperature area on the catalyst surface where the temperature data is located, and associate the temperature area with the temperature data to produce a catalyst temperature map.

9. A statistical system for catalyst wear in a denitration reactor according to claim 8, characterized in that: The system further comprises a wear analysis module, which comprises a data preprocessing unit, a strategy formulation unit and a temperature loss analysis unit; The temperature loss analysis unit is used to determine the degree of influence of temperature on catalyst wear by comparing and analyzing the wear monitoring diagram with the catalyst temperature spectrum; The data preprocessing unit is used to determine catalyst wear minimum temperature data through wear influence degree data; The strategy formulation unit is used to formulate a temperature adjustment strategy in the destocking reactor according to the catalyst wear minimum temperature data.

10. A statistical method for catalyst wear in a denitration reactor, characterized in that: The following steps are involved: Collect real-time data of the catalyst in the denitrification reactor through drones; Counting the wear depth and wear area of ​​the catalyst based on the real-time data; A wear monitoring map is produced based on the wear depth and the wear area.

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