Unmanned aerial vehicle intelligent emergency rescue method for chemical industry park

Abstract

The invention discloses a chemical industry park unmanned aerial vehicle intelligent emergency rescue method, and relates to the technical field of inspection and rescue of chemical industry park unmanned aerial vehicles. Comprising the steps of performing three-dimensional modeling on enterprises in the chemical industry park through unmanned aerial vehicle inspection; segmenting the enterprise three-dimensional point cloud data model diagram into a plurality of device diagrams and workshop diagrams, and setting a label on each partition diagram block; reading special equipment information of a plurality of devices by docking a special equipment platform; calculating the harmfulness H value of the device, marking the H value of each device on the unmanned aerial vehicle intelligent emergency rescue platform, and assigning a color code to each device according to the H value; therefore, the medium type condition, the rescue process condition and the risk point and the leakage position in the device are obtained, and information is provided for rescue workers. Through the arrangement of the unmanned aerial vehicle platform, the inspection danger identification capability of the unmanned aerial vehicle is enhanced, and the accident rescue level and capability of special equipment are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of inspection and rescue of unmanned aerial vehicles in chemical industry parks, and particularly relates to an intelligent emergency rescue method of unmanned aerial vehicles in chemical industry parks. BACKGROUND

[0002] At present, a chemical industry park has a large number of special equipment such as pressure vessels, pressure pipelines and boilers. These devices are loaded with extremely high and corrosive media, and are subjected to high temperature and high pressure. In the use process, failure such as corrosion and cracking is easy to occur, causing leakage and explosion. Once the equipment fails, leaks and serious explosion events, often accompanied by fire, environmental pollution, poisoning and even radioactive pollution disasters. After the disaster, the first time to know the situation of the accident site or the inside is the basis for implementing rescue, at this time time is money, how to obtain information in the first time is particularly important.

[0003] Therefore, the present application provides an intelligent emergency rescue method of unmanned aerial vehicles in chemical industry parks to solve the problems existing in the prior art, which is a problem that needs to be solved by those skilled in the art. SUMMARY

[0004] Therefore, the present application provides an intelligent emergency rescue method of unmanned aerial vehicles in chemical industry parks to solve the problems existing in the prior art, which is a problem that needs to be solved by those skilled in the art.

[0005] In order to achieve the above purpose, the present application adopts the following technical scheme:

[0006] An intelligent emergency rescue method of unmanned aerial vehicles in chemical industry parks comprises the following steps:

[0007] S1. Three-dimensional modeling of a chemical industry park enterprise is performed by unmanned aerial vehicle inspection, and a three-dimensional point cloud data model diagram of the chemical industry park enterprise is obtained by three-dimensional imaging of an unmanned aerial vehicle intelligent emergency rescue platform;

[0008] S2. According to the workshop and device names of the chemical industry park enterprise, different workshop and device equipment is pre-implanted into the unmanned aerial vehicle intelligent emergency rescue platform by statistical analysis method, the three-dimensional point cloud data model diagram is divided into a plurality of device diagrams and workshop diagrams, and a label is set on each separated diagram block to obtain a plurality of devices and workshops with labels;

[0009] S3. The special equipment information of the plurality of devices is read by interfacing with a special equipment platform;

[0010] S4. Based on the read special equipment information, the hazard H value of the device is calculated, and the H value of each device is marked on the unmanned aerial vehicle intelligent emergency rescue platform, and each device is colored according to the H value;

[0011] S5. Different drone patrol inspection frequencies are preset according to different hazard values H of the plurality of devices and workshops, and different patrol equipment is automatically worn by the drone according to the medium type condition in the workshop;

[0012] S6. The medium type condition and the rescue process condition are obtained by the drone intelligent emergency rescue platform according to the plurality of devices and the workshop, and information is provided for the rescuers;

[0013] S7. The internal risk point and the leakage position of the device are obtained by the special equipment inspection platform according to the inspection data, and information is provided for the rescuers.

[0014] Optionally, the special equipment information in S3 includes the number of pressure vessels, the level of pressure vessels, the medium of pressure vessels, the level of pressure pipelines, the number of pressure pipelines, and the medium of pressure pipelines.

[0015] Optionally, the specific content of the hazard value H of the device calculated based on the read special equipment information in S4 is:

[0016] Y1=[Y i ,P i ]W yp +b

[0017] D1=[D i ,P i ]W dp +b

[0018] H i =[P i ,Y i ,D i ]

[0019]

[0020] Wherein, n is the total number of special equipment in the workshop or device, P i is the pressure of the i-th device, Y i is the flammability of the i-th device, D i is the toxicity of the i-th device, b is a neural unit, Y1 is the bias value of flammable medium, D1 is the bias value of toxic medium, W yp is the weighting value of flammable medium, and W dp is the weighting value of toxic medium.

[0021] Optionally, the specific content of S4 is that the H value of each device is marked on the drone intelligent emergency rescue platform, and each device is respectively given a color code according to the H value:

[0022] When the H value exceeds 1000, it is a first-level attention area, and a red mark is given;

[0023] When H value is 500-1000, it is a secondary attention area, and a yellow mark is given;

[0024] When H value is 100-500, it is a tertiary attention area, and a blue mark is given;

[0025] When H value is less than 100, it is an area that does not need to be paid attention to, and a green mark is given.

[0026] Optionally, the medium type in S5 is flammable medium, toxic medium, flammable and toxic medium;

[0027] For flammable medium, the unmanned aerial vehicle automatically starts an infrared forming tracking and photographing mode, the unmanned aerial vehicle patrols fire sparks, electric welding operation and temperature abnormality, and pre-warns and reminds the abnormality;

[0028] For toxic medium, the unmanned aerial vehicle automatically carries a gas detector, the unmanned aerial vehicle patrols smoke leakage abnormality, and pre-warns and reminds the abnormality;

[0029] For flammable and toxic medium, the unmanned aerial vehicle automatically starts an infrared forming tracking and photographing mode and carries a gas detector, the unmanned aerial vehicle patrols fire sparks, electric welding operation, temperature abnormality and smoke leakage abnormality, and pre-warns and reminds the abnormality.

[0030] Optionally, in S6, the medium type and rescue process are automatically obtained by clicking the workshop name, and information is provided for rescue personnel.

[0031] According to the above technical solution, compared with the prior art, the present application provides a chemical industry park unmanned aerial vehicle intelligent emergency rescue method, which has the following beneficial effects:

[0032] The present application enhances the patrol and identification of dangerous ability of the unmanned aerial vehicle through the setting of the unmanned aerial vehicle platform, and improves the level and ability of special equipment accident rescue. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description only illustrate the embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the provided drawings.

[0034] Figure 1 A chemical industry park unmanned aerial vehicle intelligent emergency rescue method flow chart is provided in the present application;

[0035] Figure 2 A flow chart of the algorithm provided in the present application. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0037] Referring to Figure 1 As shown in the figure, the present application discloses a kind of chemical industry park unmanned plane intelligent emergency rescue method, comprising the following steps:

[0038] S1. three-dimensional modeling is carried out on chemical industry park enterprise by unmanned plane inspection, and three-dimensional point cloud data model graph of chemical industry park enterprise is obtained by three-dimensional imaging of unmanned plane intelligent emergency rescue platform;

[0039] S2. according to workshop and device name of chemical industry park enterprise, different workshop and device equipment are pre-implanted into unmanned plane intelligent emergency rescue platform by statistical analysis method, three-dimensional point cloud data model graph is divided into multiple device graph and workshop graph, and label is set on each separated graph block, to obtain multiple devices and workshops with label;

[0040] S3. special equipment platform is connected, and the information of multiple devices is read;

[0041] S4. based on the read special equipment information, the harm H value of the device is calculated, and the H value of each device is marked on the unmanned plane intelligent emergency rescue platform, and each device is colored according to the H value;

[0042] S5. according to the harm H value of multiple devices and workshops, different unmanned plane flight inspection frequencies are preset, and different inspection equipment is automatically worn by unmanned plane according to the medium type condition in workshop;

[0043] S6. according to the situation of multiple devices and workshops, the medium type condition and rescue process condition are obtained by unmanned plane intelligent emergency rescue platform, to provide information for rescue personnel;

[0044] S7. according to the test data, the internal risk point and leakage position of the device are obtained by special equipment inspection platform, to provide information for rescue personnel.

[0045] Further, the special equipment information in S3 includes the number of pressure vessels, the level of pressure vessels, the medium of pressure vessels, the level of pressure pipelines, the number of pressure pipelines and the medium of pressure pipelines.

[0046] Further, the specific content of calculating the harm H value of the device based on the read special equipment information in S4 is:

[0047] Y1 = [Y i ,P i ]W yp +b

[0048] D1 = [D i ,P i ]W dp +b

[0049] H i = [P i ,Y i ,D i ]

[0050]

[0051] Wherein, n is the total number of special equipment in workshop or device, P i is the pressure of the i-th equipment, Y i is the flammable degree of the i-th equipment, D i is the toxicity degree of the i-th equipment, b is a neural unit, Y1 is the bias value of flammable medium, D1 is the bias value of toxic medium, W yp is the weighted value of flammable medium, W dp is the weighted value of toxic medium.

[0052] Further, the H value of each device is marked on the unmanned aerial vehicle intelligent emergency rescue platform in S4, and the specific content of coloring code given to each device according to the H value is:

[0053] When the H value exceeds 1000, it is a first attention area, and a red mark is given;

[0054] When the H value is 500-1000, it is a second attention area, and a yellow mark is given;

[0055] When the H value is 100-500, it is a third attention area, and a blue mark is given;

[0056] When the H value is less than 100, it is an area that does not need to be paid attention to, and a green mark is given.

[0057] Further, the medium type in S5 is flammable medium, toxic medium, flammable and toxic medium;

[0058] For flammable medium, the unmanned aerial vehicle automatically starts infrared forming tracking and photographing mode, and the unmanned aerial vehicle inspects sparks, electric welding operation and temperature abnormality, and gives early warning and reminder for abnormality;

[0059] For toxic medium, the unmanned aerial vehicle automatically carries a gas detector, the unmanned aerial vehicle inspects smoke leakage abnormality, and gives early warning and reminder for abnormality;

[0060] For flammable and toxic media, the UAV automatically starts infrared shaping tracking and shooting mode and carries gas detector, the UAV patrols the fire, welding operation, temperature anomaly and smoke leakage anomaly, and gives early warning and reminder for abnormal situation.

[0061] Specifically, according to the distinction of flammable media, toxic media and flammable and toxic media, the values are given respectively, and the score in the internal device is calculated:

[0062] H i = [P i ,Y i ,D i ]

[0063]

[0064] Y i According to the flammability of the medium, class A flammable gas, class B flammable gas (class A flammable liquid), class B flammable liquid, class A flammable liquid, class B flammable liquid, class A flammable liquid, class B flammable liquid, 7 points are given respectively, the higher the flammability, the more likely to cause secondary disaster accident, the higher the value, such as class A flammable gas is valued at 7.

[0065]

[0066] D i According to the toxicity of the medium, it is divided into hazard category 1, hazard category 2 and hazard category 3, wherein hazard category 1 is valued at 3, hazard category 2 is valued at 3, hazard category 3 is valued at 2, and when there is no harm, it is valued at 1.

[0067]

[0068] P i Represent the category of special equipment respectively corresponding to three points, such as pipeline GC1, GC2, GC3 corresponding to 3, 2 and 1 points, container I, II and III respectively representing 1, 2 and 3 points. The length of the pipeline is considered, and a coefficient is given, such as 1 within 200 meters, 1.2 for 200-500 meters, and 1.3 for more than 500 meters. Thus, the hazard H i value of the device can be calculated according to these coefficients.

[0069] Further, S6 is clicked to automatically obtain the medium type and rescue process, and provide information for the rescue personnel.

[0070] In a specific embodiment, a drone inspection device is set up to obtain a 3D point cloud data model of the park enterprises. The 3D point cloud data model of the enterprise is manually segmented and labeled according to the device. The device is connected to the special equipment online platform to read the number of special equipment. The hazard of each device is calculated by algorithm and coded. Different color codes and display medium characteristics are marked on each device, and inspections are carried out according to the code color (flammable ones focus on sparks, toxic ones focus on smoke, etc.). According to the input flammability and toxicity of each device, the hazard of the equipment is evaluated based on the neural network and expert experience Z i The comprehensive calculation algorithm of Figure 2 As shown:

[0071] Here, b, P i and Y i As a neural unit, a, P i and D i Treat it as another neural unit and perform calculations:

[0072] Y1=[Y i ,P i ]W yp +b

[0073] D1=[D i ,P i ]W dp +b

[0074] H i =[P i ,Y i ,D i ]

[0075]

[0076] Where n is the total number of special equipment in the workshop or device, P i is the pressure of the i-th device, Y i is the flammability of the i-th equipment, D i is the toxicity level of the i-th device, b is the neural unit, Y1 is the bias value of the flammable medium, D1 is the bias value of the toxic medium, W yp is the weighted value of flammable media, W dp is the weighted value of toxic media.

[0077] The H value of each device is identified on the UAV intelligent emergency rescue platform, and each device is given a color code according to the H value:

[0078] When the H value exceeds 1000, it is a first-level concern area and is marked in red;

[0079] When H value is 500-1000, it is a secondary attention area, and yellow mark is given;

[0080] When H value is 100-500, it is a tertiary attention area, and blue mark is given;

[0081] When H value is less than 100, it is an area without attention, and green mark is given.

[0082] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. The same or similar parts between the embodiments can be referred to each other.

[0083] The above description of disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A chemical park drone intelligent emergency rescue method, characterized in that: The following steps are involved: S1. 3D modeling of chemical park enterprises through drone inspections, and 3D point cloud data modeling of chemical park enterprises through 3D imaging using the drone intelligent emergency rescue platform; S2. Based on the names of workshops and facilities in chemical park enterprises, using statistical analysis, we pre-populate the equipment in different workshops and facilities into the UAV intelligent emergency rescue platform. We then segment the 3D point cloud data model into multiple facility and workshop diagrams, assigning labels to each segmented block to obtain multiple labeled facilities and workshops. S3. Read special equipment information of multiple devices by connecting to the special equipment platform; S4. Based on the read special equipment information, calculate the hazardousness H value of the device, identify the H value of each device on the UAV intelligent emergency rescue platform, and assign a color code to each device according to the H value; S5. Preset different drone inspection frequencies based on the different H values ​​of multiple devices and workshops, and automatically equip drones with different inspection equipment based on the type of media in the workshop; S6. Based on the conditions of multiple devices and workshops, the UAV intelligent emergency rescue platform determines the type of media and the rescue process, providing information to rescue personnel; S7. Based on the inspection data, the special equipment inspection platform determines the risk points and leakage locations inside the device and provides information to rescue personnel.

2. A chemical park UAV intelligent emergency rescue method according to claim 1, characterized in that: The special equipment information in S3 includes the number of pressure vessels, the level of pressure vessels, the medium of pressure vessels, the level of pressure pipelines, the number of pressure pipelines and the medium of pressure pipelines.

3. The method for intelligent emergency rescue of a chemical park drone according to claim 1, characterized in that: In S4, based on the read special equipment information, the specific content of the hazardousness H value of the device is calculated as follows: Y1=[Y i ,P i ]W yp +b D1=[D i ,P i ]W dp +b H i =[P i ,Y i ,D i ] Where n is the total number of special equipment in the workshop or device, P i is the pressure of the i-th device, Y i is the flammability of the i-th equipment, D i is the toxicity level of the i-th device, b is the neural unit, Y1 is the bias value of the flammable medium, D1 is the bias value of the toxic medium, W yp is the weighted value of flammable media, W dp is the weighted value of toxic media.

4. The method for intelligent emergency rescue of a chemical park drone according to claim 1, characterized in that: In S4, the H value of each device is identified on the UAV intelligent emergency rescue platform, and each device is assigned a color code according to the H value. The specific content is as follows: When the H value exceeds 1000, it is a first-level concern area and is marked in red; When the H value is 500-1000, it is a secondary concern area and is marked in yellow; When the H value is 100-500, it is a level 3 concern area and is marked in blue; When the H value is less than 100, it is an area that does not require attention and is marked green.

5. The method for intelligent emergency rescue of unmanned aerial vehicles in a chemical park according to claim 1, characterized in that: The types of media in S5 are flammable media, toxic media, and flammable and toxic media; For flammable media, the drone automatically starts the infrared forming tracking and photography mode. The drone inspects sparks, welding operations and abnormal temperatures, and issues early warnings and reminders for abnormal conditions. For toxic media, drones automatically carry gas detectors, which can inspect for abnormal smoke leaks and provide early warnings and reminders. For flammable and toxic media, the drone automatically starts the infrared forming tracking photography mode and carries a gas detector. The drone inspects sparks, welding operations, abnormal temperatures and smoke leaks, and issues early warnings and reminders for abnormal situations.

6. The method for intelligent emergency rescue of unmanned aerial vehicles in a chemical park according to claim 1, characterized in that: In S6, clicking on the workshop name automatically displays the media type and rescue process information, providing information for rescue personnel.

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