Coke oven series leakage identification and positioning system based on data acquisition and analysis

Abstract

The invention relates to the field of coke oven series leakage identification, in particular to a coke oven series leakage identification and positioning system based on data acquisition and analysis, which is used for solving the problems that the detection accuracy is low and accurate all-weather series leakage detection and series leakage positioning cannot be realized in a coke oven series leakage detection process. Comprising a gas atmosphere identification unit, a difference comparison generation unit, a production line monitoring module, an external gas identification unit and a fuzzy positioning unit. According to the invention, through linkage of identification of internal gas and environment gas, dynamic combination and comparison of internal and external gas components of the coke oven are realized, normal working condition gas fluctuation and abnormal leakage signals can be accurately distinguished, and concentration gradient distribution of leakage components is calculated by using a fuzzy positioning unit. And the leakage position is subjected to fuzzy positioning according to the concentration gradient distribution result, and the internal gas abnormal point location is analyzed, so that the leakage point location can be positioned at the inner side and the outer side of the furnace body at the same time, and the leakage identification accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the field of coke oven string leakage identification, and specifically to a coke oven string leakage identification and positioning system based on data acquisition and analysis. Background Art

[0002] During the operation of a coke oven, string leakage of the furnace body is a relatively common problem. Since the coke oven body needs to withstand high temperatures for a long time, its refractory materials are prone to spalling and cracking, resulting in gaps in the furnace body. In addition, factors such as improper operation and equipment aging may also cause string leakage problems in the furnace body. These problems not only affect the normal operation of the coke oven, thus affecting the quality and output of coke, increasing production costs and the labor intensity of workers, but also pose potential threats to the environment and safety, triggering serious accidents such as fires and explosions;

[0003] In response to this problem, the coking industry has begun to attach importance to the construction of coke oven body string leakage treatment projects. By introducing advanced detection and repair technologies, the furnace body is comprehensively inspected and repaired to ensure its normal operation. At the same time, equipment maintenance and operation management are strengthened to reduce problems such as equipment aging and improper operation, and the risk of string leakage of the furnace body is reduced. However, at present, the detection of string leakage in coke ovens still relies on large-scale detection of string leakage in areas, and then manual carrying of equipment for sequential inspection and detection of string leakage points, resulting in low detection efficiency. At the same time, the accuracy of string leakage detection in a large range is low, and small-scale string leakage phenomena cannot be reflected;

[0004] In response to the above technical problems, this application proposes a solution. Summary of the Invention

[0005] In the present invention, through the linkage of the internal gas identification unit to identify the internal gas and the external gas identification unit to identify the ambient gas, the dynamic combination and comparison of the gas components inside and outside the coke oven are realized, which can accurately distinguish the normal operating condition gas fluctuations from the abnormal leakage signals. At the same time, the fuzzy positioning unit is used to analyze the concentration gradient distribution of the leakage components, and the leakage position is fuzzily positioned according to the results of the concentration gradient distribution. Then, combined with the analysis of the abnormal points of the internal gas, the positioning of the leakage points is realized by simultaneously detecting from both sides inside and outside the furnace body, improving the accuracy of leakage identification, and solving the problems of low detection accuracy, inability to achieve accurate all-weather string leakage detection and string leakage positioning during the detection process of coke oven string leakage, and thus a coke oven string leakage identification and positioning system based on data acquisition and analysis is proposed.

[0006] The object of the present invention can be achieved by the following technical solutions:

[0007] A coke oven leakage identification and positioning system based on data acquisition and analysis, including a gas atmosphere identification unit, a difference comparison generation unit, a production line monitoring module, an external gas identification unit, and a fuzzy positioning unit. The gas atmosphere identification unit is used to identify the gas components inside the coke oven, record the identified gas components, and send the recording result to the difference comparison generation unit;

[0008] The difference comparison generation unit conducts comparative analysis based on the identified gas components to obtain gas abnormal points, and sends the gas abnormal points to the production line monitoring module;

[0009] The external gas identification unit identifies the external gas of the coke oven, conducts component analysis on the identified gas, selects specific components among them and records them as leakage components, and sends the leakage components to the fuzzy positioning unit;

[0010] The fuzzy positioning unit analyzes based on the leakage components to obtain the gas leakage concentration distribution, generates leakage abnormal points according to the gas leakage concentration distribution, and sends the leakage abnormal points to the production line monitoring module;

[0011] The production line monitoring module conducts combined analysis based on the leakage abnormal points and the gas abnormal points, generates a leakage positioning result according to the result of the combined analysis, and outputs the leakage positioning result through the network.

[0012] As a preferred implementation manner of the present invention, when the gas atmosphere identification unit identifies the gas components inside the coke oven, it sets multiple collection points at different heights, conducts component analysis on the gas collected at each collection point to obtain the proportion of each component, records the proportion of each component as the detection result, and the gas atmosphere identification unit combines and records the collection points at different heights with the detection results, and sends them to the difference comparison generation unit.

[0013] As a preferred implementation manner of the present invention, after obtaining the detection results at different heights, the difference comparison generation unit obtains the preset gas standard range corresponding to each height, compares the detection result at each height with the preset gas standard range, and if the detection result at a certain height does not meet the preset gas standard range, records the corresponding height as the gas abnormal point.

[0014] As a preferred embodiment of the present invention, the external gas identification unit collects and analyzes the gas components outside the furnace body, compares the collected gas components with the gas components in the set leakage gas database, calculates the content of the gas components in the leakage gas database contained in the external gas of the furnace body, and records it as the leakage content; the external gas identification unit compares the leakage content with the set content threshold. If the leakage content is greater than the set content threshold, it is recorded as a leakage component. If the leakage content is less than the set content threshold, it is recorded as a non-leakage component.

[0015] As a preferred embodiment of the present invention, the external gas identification unit sums up the leakage contents of all leakage components, records the summation result as the total leakage amount, and the external gas identification unit compares the total leakage amount with the set total threshold. If the total leakage amount is not greater than the set threshold, an non-leakage signal is generated. If the total leakage amount is greater than the set threshold, a leakage warning signal is generated.

[0016] As a preferred embodiment of the present invention, the external gas identification unit counts the leakage components, compares the number of leakage components with the set threshold. If the number of leakage components is greater than the set threshold, it is recorded as multi-gas leakage. If the number of leakage components is less than or equal to the set threshold, it is recorded as single-gas leakage.

[0017] As a preferred embodiment of the present invention, after generating the leakage warning signal, the external gas identification unit sends the leakage contents at different positions to the fuzzy positioning unit. The fuzzy positioning unit uses the height as the horizontal axis and the leakage content as the vertical axis to obtain a leakage change curve;

[0018] The fuzzy positioning unit selects the peak points on the leakage change curve and records the height corresponding to the peak points as leakage abnormal points.

[0019] As a preferred embodiment of the present invention, after obtaining the leakage abnormal points and gas abnormal points, the production line monitoring module compares the leakage abnormal points and gas abnormal points for coincidence. The coincident part is used as the leakage positioning result, and the non-coincident part is recorded as a suspected leakage point. The leakage positioning result and the suspected leakage point are integrated and sent to the management platform through the network.

[0020] Compared with the prior art, the beneficial effects of the present invention are:

[0021] 1. In the present invention, through the linkage of the gas atmosphere identification unit to identify the internal gas and the external gas identification unit to identify the environmental gas, the dynamic combined comparison of the gas components inside and outside the coke oven is realized, which can accurately distinguish the normal working condition gas fluctuations from the abnormal leakage signals, avoid misjudgment caused by a single detection dimension, and improve the accuracy of leakage identification.

[0022] 2. In the present invention, the fuzzy positioning unit is used to obtain the concentration gradient distribution of the leakage components, and the leakage position is fuzzily positioned according to the result of the concentration gradient distribution. Then, by combining the analysis of the abnormal points of the internal gas, the positioning of the leakage points is realized simultaneously from both sides inside and outside the furnace body, and the leakage area can be quickly locked in a complex industrial scenario. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0024] Figure 1 is the system block diagram of the present invention;

[0025] Figure 2 is the system flow chart of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0027] Embodiment 1:

[0028] Please refer to Figure 1 - Figure 2 As shown in the figure, a coke oven string leakage identification and positioning system based on data acquisition and analysis includes a gas atmosphere identification unit, a difference comparison generation unit, a production line monitoring module, an external gas identification unit, and a fuzzy positioning unit. The gas atmosphere identification unit is used to identify the gas components inside the coke oven and record the identified gas components. When the gas atmosphere identification unit identifies the gas components inside the coke oven, a plurality of collection points are set at different heights, and the gas collected at each collection point is analyzed for its components to obtain the proportion of each component. The proportion of each component is recorded as the detection result. The gas atmosphere identification unit combines and records the collection points at different heights with the detection results and sends them to the difference comparison generation unit;

[0029] After obtaining the detection results at different heights, the difference comparison generation unit performs comparative analysis according to the identified gas components to obtain the preset gas standard range corresponding to each height. The detection results at each height are compared with the preset gas standard range. If the detection result at a certain height does not meet the preset gas standard range, the corresponding height is recorded as a gas abnormal point. If the detection result at a certain height meets the preset gas standard range, the corresponding height is recorded as a gas normal point, and the gas abnormal points are sent to the production line monitoring module;

[0030] The external gas identification unit identifies the external gas of the coke oven, identifies the gas components contained therein, collects and analyzes the gas components outside the furnace body, and compares the gas components in the collected gas components with the gas components in the set leakage gas database, calculates the content of the gas components in the leakage gas database contained in the external gas of the furnace body, records it as the leakage content, records the gas components not in the leakage gas database contained in the external gas of the furnace body as the conventional gas components, and ignores the content data of the conventional gas components;

[0031] The external gas identification unit compares the leakage content with the set content threshold. If the leakage content is greater than the set content threshold, it is recorded as the leakage component. If the leakage content is less than the set content threshold, it is recorded as the non-leakage component;

[0032] The external gas identification unit sums up the leakage contents of all leakage components, records the summation result as the total leakage amount, compares the total leakage amount with the set total threshold. If the total leakage amount is not greater than the set threshold, it generates a non-leakage signal. If the total leakage amount is greater than the set threshold, it generates a leakage warning signal;

[0033] After generating the leakage warning signal, the external gas identification unit sends the leakage contents at different positions to the fuzzy positioning unit;

[0034] The fuzzy positioning unit analyzes according to the leakage components and the leakage content. The fuzzy positioning unit takes the height as the horizontal axis and the leakage content as the vertical axis to obtain the leakage change curve, so as to obtain the gas leakage concentration distribution;

[0035] The fuzzy positioning unit selects the peak points on the leakage change curve, records the height corresponding to the peak points as the leakage abnormal points, so as to be able to predict the leakage abnormal positions according to the gas leakage concentration distribution outside the furnace body, and sends the leakage abnormal points to the production line monitoring module;

[0036] The production line monitoring module conducts combined analysis according to the leakage abnormal points and the gas abnormal points, and generates a leakage positioning result according to the result of the combined analysis. Specifically: after obtaining the leakage abnormal points and the gas abnormal points, the production line monitoring module compares the leakage abnormal points and the gas abnormal points for coincidence, takes the coincident part as the leakage positioning result, records the non-coincident part as the suspected leakage points, integrates the leakage positioning result and the suspected leakage points, and sends them to the management platform through the network. The management platform displays the leakage positioning result and the suspected leakage points to remind the management personnel to carry out maintenance and repair.

[0037] Embodiment 2:

[0038] Please refer toFigure 1 - Figure 2 As shown, the external gas identification unit also counts the leakage components, compares the number of leakage components with a set threshold value. If the number of leakage components is greater than the set threshold value, it is recorded as multi-gas leakage. If the number of leakage components is less than or equal to the set threshold value, it is recorded as single-gas leakage, so as to understand the composition of the leaked gas components, facilitate the response to the leaked gas, and avoid safety accidents.

[0039] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to the specific embodiments only. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A coke oven string leakage identification and positioning system based on data collection and analysis, characterized in that: It includes a gas atmosphere recognition unit, a difference comparison generation unit, a production line monitoring module, an external gas recognition unit and a fuzzy positioning unit. The gas atmosphere recognition unit is used to identify the gas components inside the coke oven, record the identified gas components, and send the recording results to the difference comparison generation unit; The difference comparison generation unit performs comparative analysis based on the identified gas components to obtain gas abnormality points, and sends the gas abnormality points to the production line monitoring module; The external gas identification unit identifies the external gas of the coke oven, performs component analysis on the identified gas, selects specific components therein and records them as leakage components, and sends the leakage components to the fuzzy positioning unit; The fuzzy positioning unit analyzes the leakage components to obtain the gas leakage concentration distribution, generates leakage abnormal points according to the gas leakage concentration distribution, and sends the leakage abnormal points to the production line monitoring module; The production line monitoring module performs a combined analysis based on the leakage abnormal points and the gas abnormal points, generates a leakage location result based on the result of the combined analysis, and outputs the leakage location result through the network.

2. A coke oven string leakage identification and positioning system based on data acquisition and analysis according to claim 1, characterized in that: When the gas atmosphere identification unit identifies the gas components inside the coke oven, multiple collection points are set at different heights, and the gas collected at each collection point is analyzed for components to obtain the proportion of each component, and the proportion of each component is recorded as a detection result. The gas atmosphere identification unit combines the collection points at different heights with the detection results and sends them to the difference comparison generation unit.

3. The coke oven string leakage identification and positioning system based on data acquisition and analysis according to claim 1 is characterized in that: After obtaining the detection results at different heights, the difference comparison generation unit obtains the preset gas standard range corresponding to each height, and compares the detection result at each height with the preset gas standard range. If the detection result at a certain height does not meet the preset gas standard range, the corresponding height is recorded as a gas abnormality point.

4. The coke oven string leakage identification and positioning system based on data acquisition and analysis according to claim 1 is characterized in that: The external gas identification unit collects and analyzes the gas components outside the furnace body, and compares the collected gas components with the gas components in the set leakage gas database, calculates the content of the gas components in the leakage gas database contained in the gas outside the furnace body, and records it as the leakage content; the external gas identification unit compares the leakage content with the set content threshold, if the leakage content is greater than the set content threshold, it is recorded as a leakage component, if the leakage content is less than the set content threshold, it is recorded as a non-leaking component.

5. The coke oven string leakage identification and positioning system based on data collection and analysis according to claim 4 is characterized in that: The external gas identification unit sums up the leakage contents of all leaking components and records the sum result as the total leakage amount. The external gas identification unit compares the total leakage amount with the set total leakage threshold. If the total leakage amount is not greater than the set threshold, a no leakage signal is generated. If the total leakage amount is greater than the set threshold, a leakage warning signal is generated.

6. The coke oven string leakage identification and positioning system based on data collection and analysis according to claim 5 is characterized in that: The external gas identification unit counts the leakage components and compares the number of leakage components with a set threshold. If the number of leakage components is greater than the set threshold, it is recorded as a multi-gas leakage. If the number of leakage components is less than or equal to the set threshold, it is recorded as a single gas leakage.

7. The coke oven string leakage identification and positioning system based on data collection and analysis according to claim 5 is characterized in that: After generating a leakage warning signal, the external gas identification unit sends the leakage content at different positions to the fuzzy positioning unit, and the fuzzy positioning unit uses the height as the horizontal axis and the leakage content as the vertical axis to obtain a leakage change curve; The fuzzy positioning unit selects a peak point on the leakage variation curve, and records the height corresponding to the peak point as a leakage abnormality point.

8. The coke oven string leakage identification and positioning system based on data collection and analysis according to claim 1 is characterized in that: After obtaining the leakage abnormal points and gas abnormal points, the production line monitoring module will compare and overlap the leakage abnormal points and the gas abnormal points, take the overlapping parts as the leakage location results, record the non-overlapping parts as suspected leakage points, and integrate the leakage location results and suspected leakage points, and send them to the management platform through the network.

Images