A three-dimensional protection method for oil and gas hazardous chemicals storage

Abstract

The present invention discloses a three-dimensional protection method for the storage of hazardous oil and gas chemicals, which belongs to the technical field of oil and gas storage; it includes a background processing subsystem and at least two fixed-point monitoring subsystems, at least one ground patrol subsystem, and at least one aerial patrol subsystem; on the basis of the fixed-point monitoring arrangement of the fixed-point monitoring subsystem, a ground patrol subsystem and an aerial patrol subsystem are provided, and patrol robots and patrol drones are used for patrol inspection, wherein the monitoring equipment captures monitoring information such as hydrocarbon gas information, which is then uploaded to the background server via the fixed-point processor, the patrol robot and the patrol drone to identify the risk point status, thereby realizing fixed-point monitoring and all-round patrol monitoring of the three-dimensional structure of the entire storage area.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas storage, in particular to a three-dimensional protection method for the storage of oil and gas hazardous chemicals. Background Art

[0002] During the storage of hazardous chemicals such as oil and gas in storage tanks, due to inadequate management and protection, various combustion and explosion accidents are likely to occur. At present, the safety protection and monitoring of oil and gas storage tanks mainly focus on the monitoring and linkage of points, lines, and surfaces such as valves and connection joints at risk points.

[0003] It can be seen that the current monitoring system can only be limited to fixed-point monitoring on points, lines, and surfaces, and cannot conduct all-round inspection and monitoring on the three-dimensional structure of the entire storage area. Moreover, the current monitoring system generally uses single-point equipment to monitor the monitored points (risk points) (single-point monitoring). First, it is easily affected by strong wind weather and rain weather, etc. Second, there are corners and dead corners in the monitoring, which is not three-dimensional, comprehensive, and all-round enough, resulting in large monitoring errors and high false alarm rates. Summary of the Invention

[0004] The invention objective of the present invention is to provide a three-dimensional protection method for the storage of oil and gas hazardous chemicals, which can achieve fixed-point monitoring and all-round inspection and monitoring of the three-dimensional structure of the entire storage area in view of the above problems.

[0005] To achieve the above object, the technical solution adopted by the present invention is:

[0006] A three-dimensional protection method for the storage of oil and gas hazardous chemicals, the three-dimensional protection device for storage includes a background processing subsystem, at least 2 fixed-point monitoring subsystems, at least 1 ground inspection subsystem, and at least 1 aerial inspection subsystem; the protection method based on the three-dimensional protection device for storage includes the following contents:

[0007] Step S1, perform three-dimensional modeling based on the layout of storage entities in the oil and gas storage area and the geodetic coordinates to obtain a three-dimensional storage model;

[0008] Step S2, perform three-dimensional grid division on the three-dimensional storage model, and mark risk attribute features within the three-dimensional grid; wherein the risk attribute features are divided according to the high, medium, and low risk levels of risk points and risk areas in the storage area;

[0009] Step S3, layout monitoring points on the three-dimensional storage model according to the risk attribute features; specifically including: arranging fixed-point monitoring subsystem monitoring points according to "two lines intersecting at one point" for risk attribute features at low risk levels, and then gradually densifying the layout of monitoring points from low to high risk levels; and planning the inspection routes of the ground inspection subsystem and the aerial inspection subsystem to cover all risk attribute features for inspection;

[0010] Step S4: Obtain the monitoring information and geodetic coordinate information of the risk points and risk areas by the fixed-point monitoring subsystem, ground patrol subsystem, and aerial patrol subsystem. According to the geodetic coordinate information, associate the three-dimensional grid corresponding to the location where each monitoring information is located, process the monitoring information to obtain monitoring data, and then select the corresponding color to mark the corresponding three-dimensional grid according to the range to which the monitoring data belongs;

[0011] Between step S3 and step S4, the following steps are further included: Step S3.5: Arrange the fixed-point monitoring subsystem, ground patrol subsystem, and aerial patrol subsystem in the oil and gas storage area according to the layout of the monitoring points in the three-dimensional storage model.

[0012] The background processing subsystem includes a background server and a background display screen connected to the background server. The fixed-point monitoring subsystem includes a fixed-point processor and a monitoring device group connected to the fixed-point processor. The ground patrol subsystem includes a patrol robot and a monitoring device group connected to the patrol robot. The aerial patrol subsystem includes a patrol UAV and a monitoring device group connected to the patrol UAV. The background server is communicatively connected to the fixed-point processor, the ground patrol subsystem, and the aerial patrol subsystem respectively;

[0013] The monitoring device group includes an infrared spectroscopic gas identifier, and the infrared spectroscopic gas identifier is connected to the fixed-point processor; at this time, in step S4, the monitoring information includes hydrocarbon gas information, the hydrocarbon gas information is processed to obtain hydrocarbon gas data, and then the corresponding color is selected to mark the corresponding three-dimensional grid according to the range to which the hydrocarbon gas data belongs.

[0014] As described above, on the basis of fixed-point monitoring, a ground patrol subsystem and an aerial patrol subsystem are provided, and patrols are carried out by patrol robots and patrol UAVs. Among them, the monitoring device captures monitoring information such as hydrocarbon gas information, and then uploads it to the background server through the fixed-point processor, patrol robot, and patrol UAV, so as to realize fixed-point monitoring and omni-directional patrol monitoring of the three-dimensional structure of the entire storage area.

[0015] To solve the problem of a relatively high false alarm rate in single-point monitoring, at least 2 fixed-point monitoring subsystems are arranged so that the monitoring device groups of more than 2 fixed-point monitoring subsystems cover the monitoring area of each monitored point. Therefore, the monitoring area of each monitoring point is covered by more than 2 monitoring device groups for mutual verification, so as to reduce the monitoring error and the false explosion rate. To further optimize the monitoring points, at least 2 fixed-point monitoring subsystems include a fixed-point monitoring subsystem I and a fixed-point monitoring subsystem II. The fixed-point monitoring subsystem I is arranged in the bottom height area, and the fixed-point monitoring subsystem II is arranged in the middle height area, and hierarchical monitoring is carried out according to the height, so as to optimize the layout of the monitoring points.

[0016] Based on the foregoing solution, in an improved solution, to solve video and temperature monitoring and further optimize monitoring factors, the monitoring device group includes an infrared camera, and the infrared camera is connected to a fixed-point processor; at this time, in step S4, the monitoring information includes infrared video / image information, and the infrared image information is processed to obtain temperature data, and then corresponding colors are selected according to the range of the temperature data to label the corresponding three-dimensional grids; in the case where the monitoring information includes infrared video / image information, the layout of the fixed-point monitoring subsystem in step S3 is specifically as follows: for the risk attribute characteristics of the low-risk level, at least 2 fixed-point monitoring subsystems are arranged at each risk point to cover the infrared video / image information, and the infrared video / image information of one of the fixed-point monitoring subsystems simultaneously covers another fixed-point monitoring subsystem and the risk point, and then the monitoring points are encrypted step by step from low to high according to the risk level; in the case where the monitoring information includes infrared video / image information, step S4 further includes the following contents: using the configured image comparison module to analyze and process the image information, comparing the current image with the past image to identify the different regions of the warehousing entity, and then labeling the three-dimensional grid at the corresponding position in the warehousing three-dimensional model with a color different from the original three-dimensional model and triggering an alarm; using the configured posture recognition module to analyze and process the image information to identify the illegal operation behaviors of the staff and trigger an alarm; using the configured face recognition module to analyze and process the image information to identify the staff information, record the staff's on-duty information and illegal operation behaviors. In this way, video, image and temperature information can be obtained, and then the image and temperature monitoring of the monitored points can be carried out, and the illegal operation behaviors of the staff such as smoking and not wearing safety helmets can be monitored, further improving the monitoring.

[0017] Based on the foregoing solution, in an improved solution, the monitoring device group further includes a sound sensor, and the sound sensor is connected to a fixed-point processor; at this time, in step S4, the monitoring information includes sound information, and the sound information is processed to obtain sound data, and then corresponding colors are selected according to the range of the sound data to label the three-dimensional grids of the corresponding monitoring points; using the configured sound comparison module to analyze and process the sound data, comparing the current sound decibel data with the past sound decibel data to determine whether there is abnormal sound, and if there is abnormal sound, triggering an alarm. Further improved, in step S4, if there is abnormal sound, the following processing is also carried out: using the configured sound source recognition module to analyze and process the sound data, and identifying the sound source of the current sound data based on its pre-trained model. In this way, the monitoring device can collect abnormal sounds with a sound intensity greater than a certain decibel (for example, 60 decibels), and can transmit them to the background server for storage and processing, so as to quickly identify sounds such as pipeline breaks and oil and gas leaks, and even identify the sound sources such as pipeline breaks and oil and gas leaks.

[0018] Due to the adoption of the above technical solution, the present invention has the following beneficial effects:

[0019] 1. Based on the fixed-point monitoring of the fixed-point monitoring subsystem, the present invention is provided with a ground inspection subsystem and an aerial inspection subsystem, and inspections are carried out by inspection robots and inspection drones. Among them, the monitoring equipment captures monitoring information such as hydrocarbon gas information, and then uploads it to the background server through the fixed-point processor, inspection robots and inspection drones to identify the risk point conditions, so as to realize fixed-point monitoring and omni-directional inspection monitoring of the three-dimensional structure of the entire storage area.

[0020] 2. The present invention arranges cameras with two lines intersecting at a point to determine the exact XYZ three-dimensional coordinate system of that point, rather than a line connecting two points in a planar graph. With the assistance and confirmation of the surrounding cameras, the distance between the previous camera and the risk point is measured from another angle. The two emitted monitoring lines intersect at that point. Combining these two cameras is beneficial to improve the accuracy and can accurately determine the XYZ three-dimensional coordinates of the position of that point, making it more accurate and precise. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a flowchart of the protection method of the present invention.

[0022] Figure 2 is a system block diagram of the protection device of the present invention.

[0023] Figure 3 is an example architecture block diagram of the monitoring equipment group of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0024] The following further describes the specific implementation of the invention with reference to the drawings.

[0025] Embodiment 1

[0026] See Figures 1 - 3 , a three-dimensional protection method for oil and gas hazardous chemicals storage of this embodiment. The three-dimensional storage protection device includes a background processing subsystem, at least 2 fixed-point monitoring subsystems, at least 1 ground inspection subsystem, and at least 1 aerial inspection subsystem. The background processing subsystem includes a background server and a background display screen connected to the background server. The fixed-point monitoring subsystem includes a fixed-point processor and a monitoring equipment group connected to the fixed-point processor. The ground inspection subsystem includes an inspection robot and a monitoring equipment group connected to the inspection robot. The aerial inspection subsystem includes an inspection drone and a monitoring equipment group connected to the inspection drone. The background server is communicatively connected to the fixed-point processor, the ground inspection subsystem, and the aerial inspection subsystem respectively. The protection method based on the three-dimensional storage protection device includes the following contents:

[0027] Step S1: Perform three-dimensional modeling based on the layout of the storage entities in the oil and gas storage area and the geodetic coordinates to obtain a three-dimensional storage model;

[0028] Step S2: Perform three-dimensional grid division on the warehousing three-dimensional model, and label risk attribute features within the three-dimensional grid; wherein the risk attribute features are divided according to the risk points in the warehousing area and the high, medium, and low risk levels of the risk areas.

[0029] Step S3: Layout monitoring points on the warehousing three-dimensional model according to the risk attribute features; specifically including: arranging fixed-point monitoring subsystem monitoring points according to the "two-line intersection at one point" for the risk attribute features of the low risk level, and then gradually densifying the layout of monitoring points from low to high risk levels; and planning the inspection routes of the ground inspection subsystem and the aerial inspection subsystem to cover all risk attribute features for inspection.

[0030] Step S4: Obtain the monitoring information and geodetic coordinate information of the risk points and risk areas by the fixed-point monitoring subsystem, the ground inspection subsystem, and the aerial inspection subsystem, associate the three-dimensional grid corresponding to the location of each monitoring information according to the geodetic coordinate information, process the monitoring information to obtain monitoring data, and then select corresponding colors to label the corresponding three-dimensional grids according to the scope of the monitoring data.

[0031] Wherein, between Step S3 and Step S4, the following steps are further included: Step S3.5: Arrange the fixed-point monitoring subsystem, the ground inspection subsystem, and the aerial inspection subsystem in the oil and gas warehousing area according to the monitoring point layout of the warehousing three-dimensional model.

[0032] The fixed-point monitoring subsystem is configured with a fixed-point power supply for power supply, and a power adapter can be used to plug into the mains (AC220V) and a lithium battery can be configured; the background processing subsystem is configured with a background power supply for power supply, and the background server and the background display screen are respectively connected to the mains through standard power lines. The background processing subsystem, the fixed-point monitoring subsystem, the inspection robot, the inspection UAV, their wireless communication connections, and controls are all existing technologies. A local area network can be constructed in the entire warehousing area through a WiFi module combined with a router for wireless connection, or wireless connection can be made through a 4G / 5G module so that the processor and other components can communicate with the upper-layer background server based on the IP protocol through the Internet to transmit data to the background server in real time, which will not be elaborated here; for example, an infrared spectral gas identifier is installed on the purchased DJI UAV, and the infrared spectral gas identifier is connected through industry-standard data. Another example is that in the scenario of Embodiment 4 described below, a monitoring device group is composed of an infrared camera and an infrared spectral gas identifier configured by the DJI UAV.

[0033] The monitoring device group includes an infrared spectroscopic gas identifier, which is connected to a fixed-point processor. The infrared spectroscopic gas identifier can obtain hydrocarbon gas information and upload it to the fixed-point processor. Then, the fixed-point processor uploads the hydrocarbon gas information to the background server. Subsequently, the background server analyzes and identifies the hydrocarbon gas information to achieve real-time and remote monitoring of hydrocarbon gases. The infrared spectroscopic gas identifier is an existing component, and the analysis and identification of hydrocarbon gas information both adopt existing technologies, which will not be elaborated here. At this time, in step S4, the monitoring information includes hydrocarbon gas information. The hydrocarbon gas information is processed to obtain hydrocarbon gas data. Then, according to the range to which the hydrocarbon gas data belongs, the corresponding color is selected to mark the corresponding three-dimensional grid. For example, it is divided into three levels corresponding to green, yellow, and red according to the hydrocarbon gas concentration range from low to high.

[0034] As described above, based on fixed-point monitoring, a ground patrol subsystem and an aerial patrol subsystem are set up, and patrols are carried out by patrol robots and patrol drones. Among them, the monitoring devices capture monitoring information such as hydrocarbon gas information, and then upload it to the background server via the fixed-point processor, patrol robots, and patrol drones, so as to realize fixed-point monitoring and all-round patrol monitoring of the three-dimensional structure of the entire storage area.

[0035] To solve the problem of a relatively high false alarm rate in single-point monitoring, at least 2 fixed-point monitoring subsystems are arranged so that the monitoring area of the monitoring device groups of more than 2 fixed-point monitoring subsystems covers each monitored point. Thus, for each monitoring point, the monitoring area of more than 2 monitoring device groups is covered to cross-check each other, so as to reduce the monitoring error and the false explosion rate. To further optimize the monitoring points, at least 2 fixed-point monitoring subsystems include fixed-point monitoring subsystem I and fixed-point monitoring subsystem II. Fixed-point monitoring subsystem I is arranged in the bottom height area, and fixed-point monitoring subsystem II is arranged in the middle height area. Monitoring is carried out in layers according to the height, optimizing the layout of the monitoring points.

[0036] Embodiment 2

[0037] Based on Embodiment 1, this embodiment has been improved. For details not described, please refer to the aforementioned Embodiment 1.

[0038] To solve video and temperature monitoring to further optimize the monitoring factors, the monitoring device group includes an infrared camera, which is connected to a fixed-point processor. The infrared camera and its connection, as well as the image processing technology, are all existing technologies, which can be directly purchased on the market and connected for use through factory-configured industry-standard connecting wires, and will not be elaborated here.

[0039] At this time, in step S4, the monitoring information includes infrared video / image information. The infrared image information is processed to obtain temperature data, and then corresponding colors are selected according to the range of the temperature data to label the corresponding three-dimensional grids. For example, it is divided into three levels from low to high temperature range corresponding to green, yellow, and red.

[0040] In the case where the monitoring information includes infrared video / image information, the layout of the fixed-point monitoring subsystem in step S3 is specifically as follows: for the risk attribute characteristics of the low-risk level, at least two fixed-point monitoring subsystems are arranged at each risk point to cover the infrared video / image information, and the infrared video / image information of one of the fixed-point monitoring subsystems simultaneously covers another fixed-point monitoring subsystem and the risk point. Then, the monitoring points are encrypted step by step from low to high according to the risk level. "Two lines cross at one point" layout: Because relying solely on one monitoring device can only judge the situation in a certain direction and cannot accurately determine the exact coordinate points XYZ in the three-dimensional space (geodetic coordinates, which can be directly replaced with other coordinate systems), it is necessary to deploy another monitoring device at the bottom or other parts with dislocation. Through the two devices, for a certain exact monitoring point, the three-dimensional coordinates XYZ of this point can be accurately obtained by the intersection of two lines at one point. The two lines intersect at one point to determine the exact XYZ three-dimensional coordinate system of this point, rather than a line connecting two points in a planar graph. If there is only one camera for monitoring, it is difficult to distinguish the exact XYZ position, especially the position directly facing the camera. It is known that it is projected on that line, but the distance cannot be determined. At this time, the surrounding cameras need to be used for assistance to measure the distance between the previous camera and the risk point from another angle. This is when we say two cameras and two monitoring lines of sight intersect at that point. By combining these two cameras, the XYZ three-dimensional coordinates of the position of this point can be completely and accurately determined.

[0041] In the case where the monitoring information includes infrared video / image information, step S4 further includes the following content: the configured image comparison module is used to analyze and process the image information, compare the current image with the past image to identify the difference area of the warehousing entity, and then label the three-dimensional grid at the corresponding position in the warehousing three-dimensional model with a color different from the original three-dimensional model and trigger an alarm. Based on the foregoing image comparison example, in an improved example, the configured pose recognition module is used to analyze and process the image information to identify the illegal operation behavior of the staff and trigger an alarm. Based on the foregoing pose recognition example, in an improved example, the configured face recognition module is used to analyze and process the image information to identify the staff information and record the staff's on-duty information and illegal operation behavior. In this way, video, image, and temperature information can be obtained, and then the image and temperature monitoring of the monitored points can be carried out, as well as the monitoring of illegal operation behaviors such as the staff smoking and not wearing safety helmets, further improving the monitoring.

[0042] Embodiment 3

[0043] Based on Embodiment 1 or 2, this embodiment has been improved. For details not described, please refer to the aforementioned Embodiments 1-2.

[0044] The monitoring device group further includes a sound sensor, which is connected to the fixed-point processor. The sound sensor, its connection, and the audio information processing and comparison decibel technology are all existing technologies, which can be directly purchased on the market and connected for use through the industry standard connection lines configured at the factory, and will not be elaborated here. At this time, in step S4, the monitoring information includes sound information, and the sound information is processed to obtain sound data. Then, according to the range to which the sound data belongs, the corresponding color is selected to mark the three-dimensional grid of the corresponding monitoring point. For example, the three-dimensional network corresponding to the layout points of the monitoring device group is marked as green, yellow, and red according to the sound decibel range from low to high in three levels; the configured sound comparison module is used to analyze and process the sound data, and the current sound decibel data is compared with the past sound decibel data to determine whether there is abnormal sound. If there is abnormal sound, an alarm is triggered. Based on the aforementioned sound comparison decibel example, in an improved example, in step S4, if there is abnormal sound, the following processing is also performed: the configured sound source recognition module is used to analyze and process the sound data, and based on its pre-trained model, the sound source of the current sound data is recognized. In this way, the monitoring device can collect abnormal sounds with a sound intensity greater than a certain decibel (for example, 60 decibels), and can transmit them to the background server for storage and processing, so as to quickly identify sounds such as pipeline breaks and oil and gas leaks, and even identify the sound sources such as pipeline breaks and oil and gas leaks.

[0045] As described above, the optimal example is formed by combining all the example feature combination schemes described above, and the following will continue to describe it:

[0046] Perform three-dimensional modeling and grid division on the oil and gas storage tank area; divide the risk points and risk areas in the oil and gas storage tank area into high, medium, and low levels, and perform attribute feature marking within the three-dimensional grid.

[0047] According to the division of risk points and risk areas, perform three-dimensional space optimization layout, arrange monitoring points according to "two lines intersecting at one point", set bottom monitoring points and middle monitoring points, and the top monitoring points are optimized by drones for inspection and monitoring; for key risk parts and risk areas, perform encrypted layout point monitoring. All the arranged monitoring devices (infrared spectral gas identifier, infrared camera) have the induction function of infrared temperature monitoring and can detect and identify the types and concentrations of hydrocarbon volatiles such as oil and gas.

[0048] The signal data collected by the monitored and controlled monitoring devices (infrared spectral gas identifier, infrared camera) are quickly transmitted to the background server via 5G, and then through processing such as artificial intelligence pattern recognition (both the image processing and audio processing, etc. adopt existing technologies), the types and concentrations of hydrocarbon volatiles and the diffusion and evolution process can be quickly identified, the illegal operation behaviors such as smoking, not wearing a safety helmet, using a mobile phone, and not wearing a safety harness during high-altitude operations can be identified, and captured and tracked for recording. It can also identify abnormal temperatures (either too high or too low compared to the surrounding temperature field can be identified and shown in different colors for distinction), and can identify sparks, combustion, flames, or leaking liquids and their diffusion, or leaking gases and their diffusion.

[0049] The monitored and controlled monitoring device (infrared camera) can record continuously for 24 hours and has infrared night vision function. The obtained data is transmitted to the background for storage. After image comparison and processing by the expert system, image comparison can be set at indefinite periods such as the previous 1 hour (1 day, 1 week, 1 month, or 1 year), etc., to identify potential safety hazards caused by deformation, dislocation, etc., and an alarm is issued.

[0050] The monitored and controlled monitoring device (infrared camera) is configured with a face recognition module (this face recognition module is an existing technology), which can identify the on-duty inspection personnel and record the inspection time to determine whether the inspection is carried out on time or there is dereliction of duty (failure to arrive for inspection on time, missed inspection, or dereliction of duty behaviors such as sleeping), and issue a warning or alarm prompt.

[0051] There are two situations for the cameras. One is the fixed type installed on lamp posts and poles, and the other is the mobile type mounted on a patrol robot that can move freely. For the fixed cameras, since their positions are fixed, during the initial installation and commissioning, they should be aimed at risk areas (such as key parts of storage tanks or parts prone to leakage like valves). The wide-angle of the cameras should cover as large an area as possible (seeing a wider area). The cameras themselves are capable of obtaining the positions of the monitored objects (in the XYZ coordinate system, which is actually longitude, latitude, and altitude, three parameters). The reason for using two surrounding cameras for confirmation is that a single camera is likely to cause a large error. Just like a person with only one eye, the specific position of the seen object may have a large error, and two eyes are needed to determine the specific position more accurately. The surrounding cameras for confirmation are beneficial to improving the accuracy and being more precise. In the second situation, for the processing of the images captured by the mobile robot, the specific position of the mobile robot (without triggering, real-time continuous positioning) is used as the coordinate origin (the coordinate origin will also change according to the data obtained from the real-time positioning), and then the position of the risk point seen (XYZ as described in the first situation above) is superimposed. After the two coordinate systems are superimposed and summed, the specific real XYZ position is obtained. For the specific layout and installation positions of the fixed cameras, according to the requirement of maximizing the coverage area, in any risk point area, at least two or more cameras should be able to monitor it for two-sided confirmation to avoid misjudgment or too large an error. The functions of each camera are the same without special functional distinctions. When processing the data for positioning after obtaining the images, existing methods are used. The cameras themselves have a positioning function, equipped with a Beidou positioning chip and a processing system, and can directly obtain the real-time position XYZ (longitude, latitude, and altitude).

[0052] The deployed monitoring equipment (sound sensor) can collect abnormal sounds with a sound intensity greater than 60 decibels and transmit them to the background server for storage and processing to quickly identify sounds such as storage tank rupture, pipeline rupture, and oil and gas leakage.

[0053] All the monitoring equipment of the ground patrol subsystem for the ground patrol monitoring points has the above functions. The patrol robot can walk continuously along various ground locations, replacing manual labor, and conduct irregular cruise inspections to monitor and identify risk situations. All the monitoring equipment of the aerial patrol subsystem for the top patrol monitoring points has the above functions. The patrol unmanned aerial vehicle conducts irregular cruise inspections. Especially when there are abnormal situations or alarms, it takes off and looks down from the top air to identify and confirm risk situations.

[0054] Both drones and ground inspection robots are positioned in real time by the Beidou positioning system, and know the exact three-dimensional coordinates of latitude, longitude and altitude. The two-layer monitoring points (fixed-point monitoring) in the middle and bottom are relatively fixed, so layout optimization is required. On the one hand, the surrounding conditions should be monitored as much as possible. From a wide-angle perspective, there is a certain overlap with the surrounding fixed-point monitoring equipment. According to the layout and location of the storage tanks on site, the monitoring points are optimized to ensure that all spatial three-dimensional grids are monitored and there are no blind spots or dead ends.

[0055] Traditionally, there are many blind spots and dead angles, which are prone to missed reports due to inadequate monitoring. The storage area is gridded, and the monitoring layout is optimized according to the high, medium and low risk levels, avoiding the traditional monitoring that only focuses on certain parts and is not comprehensive enough.

[0056] The monitoring equipment has been upgraded and expanded to include functions such as infrared temperature identification and infrared spectrum identification of hydrocarbon gases.

[0057] The use of advanced 5G transmission technology has faster transmission speeds, which is conducive to rapid storage and data processing, more timely response, and is conducive to quickly identifying the occurrence of risky and dangerous accidents, racing against time to avoid the escalation of accidents.

[0058] The backend server has been upgraded with artificial intelligence (existing technology) to identify many violations of regulations and laws.

[0059] All of the above forms a multi-angle, all-round three-dimensional monitoring and protection system, 360° panoramic monitoring, similar to a CT whole-body scan, monitoring from different angles and directions, and analyzing the changes in risk points and dangerous conditions in the three-dimensional structure of the storage.

[0060] The present invention monitors whether the outside of the pipeline or the outside of the storage tank is corroded, deformed, whether the leakage temperature is reduced, and whether there is infrared sensing and identification of hydrocarbon gas leakage. It integrates remote infrared temperature sensing and identification, infrared identification of hydrocarbon gas leakage concentration, and imaging functions. After background processing, it identifies visual violations such as smoking and not wearing a safety helmet.

[0061] Example 4

[0062] This embodiment 4 is a separate example to illustrate the warehouse three-dimensional model system arranged on the background server in embodiment 1. For the feature combination schemes, specific features, technical effects, etc. of each instance that are not fully explained, please refer to the aforementioned embodiments 1-3.

[0063] See also Figure 1 The process flow of a three-dimensional protection system for storage of hazardous oil and gas chemicals in this embodiment is as follows:

[0064] Step S1: Perform three-dimensional modeling based on the physical layout of the oil and gas storage area and the geodetic coordinates to obtain a three-dimensional storage model;

[0065] Step S2: Conduct three-dimensional mesh division on the three-dimensional warehouse model and label the risk attribute features within the three-dimensional mesh; the risk attribute features are divided according to the risk points in the warehouse storage area and the high, medium, and low risk levels of the risk areas.

[0066] Step S3: Layout monitoring points on the three-dimensional warehouse model according to the risk attribute features; specifically including: arranging fixed-point monitoring subsystem monitoring points according to the "two-line intersection at one point" for the risk attribute features of the low risk level, and then gradually encrypting the layout of monitoring points from low to high according to the risk level; and planning the inspection routes of the ground inspection subsystem and the aerial inspection subsystem to cover all risk attribute features for inspection.

[0067] Step S4: Obtain the monitoring information and geodetic coordinate information of the risk points and risk areas by the fixed-point monitoring subsystem, the ground inspection subsystem, and the aerial inspection subsystem, associate the three-dimensional grid corresponding to the location of each monitoring information according to the geodetic coordinate information, process the monitoring information to obtain monitoring data, and then select corresponding colors to label the corresponding three-dimensional grids according to the range of the monitoring data; among them, the monitoring information is obtained by the fixed-point monitoring subsystem, the ground inspection subsystem, and the aerial inspection subsystem arranged in the oil and gas storage area according to the monitoring point layout of the three-dimensional warehouse model.

[0068] Among them, the monitoring information includes hydrocarbon gas information, process the hydrocarbon gas information to obtain hydrocarbon gas data, and then select corresponding colors to label the corresponding three-dimensional grids according to the range of the hydrocarbon gas data.

[0069] Based on the foregoing examples, in an improved example, in step S4, the monitoring information includes infrared video / image information. The infrared image information is processed to obtain temperature data, and then corresponding colors are selected according to the range of the temperature data to label the corresponding three-dimensional grids. In the case where the monitoring information includes infrared video / image information, the layout of the fixed-point monitoring subsystem in step S3 is specifically as follows: For the risk attribute characteristics of the low-risk level, at least two fixed-point monitoring subsystems' infrared video / image information coverage is arranged for each risk point, and the infrared video / image information of one of the fixed-point monitoring subsystems simultaneously covers another fixed-point monitoring subsystem and the risk point. Then, the monitoring points are encrypted step by step from low to high according to the risk level. In the case where the monitoring information includes infrared video / image information, step S4 further includes the following content: The configured image comparison module is used to analyze and process the image information, compare the current image with the past image to identify the different regions of the warehousing entity, and then label the three-dimensional grid at the corresponding position in the warehousing three-dimensional model with a color different from the original three-dimensional model and trigger an alarm; Based on the foregoing examples, in an improved example, the configured posture recognition module is used to analyze and process the image information to identify the illegal operation behavior of the staff and trigger an alarm; Based on the foregoing examples, in an improved example, the configured face recognition module is used to analyze and process the image information to identify the staff information, record the staff's on-duty information and illegal operation behavior.

[0070] Based on the foregoing examples, in an improved example, in step S4, the monitoring information includes sound information. The sound information is processed to obtain sound data, and then corresponding colors are selected according to the range of the sound data to label the three-dimensional grids of the corresponding monitoring points; The configured sound comparison module is used to analyze and process the sound data, compare the current sound decibel data with the past sound decibel data to determine whether there is abnormal sound. If there is abnormal sound, an alarm is triggered. Based on the foregoing examples, in an improved example, in step S4, if there is abnormal sound, the following processing is also performed: The configured sound source recognition module is used to analyze and process the sound data, and based on its pre-trained model, the sound source of the current sound data is identified.

[0071] It should be noted that the examples of the above embodiments can be preferably selected one or more in combination according to actual needs, and the drawings of multiple examples using a set of combined technical features will not be elaborated one by one here.

[0072] The above description is a detailed description and illustration of the preferred and feasible embodiments of the present invention, but these descriptions are not intended to limit the scope of protection required by the present invention. Any equivalent changes or modified changes completed under the technical guidance prompted by the present invention shall fall within the scope of patent protection covered by the present invention.

Claims

1. A three-dimensional protection method for oil and gas hazardous chemicals storage, characterized in that: The processing flow is as follows: Step S1: Perform three-dimensional modeling based on the physical layout of the oil and gas storage area and the geodetic coordinates to obtain a three-dimensional storage model; Step S2: Divide the warehouse three-dimensional model into three-dimensional grids and mark risk attribute features in the three-dimensional grids; The risk attribute characteristics are divided into high, medium and low risk levels according to the risk points and risk areas in the warehouse area; Step S3: Layout monitoring points on the warehouse 3D model according to risk attribute characteristics; Specifically, this involves: arranging fixed-point monitoring subsystem monitoring points based on the "two-line intersection point" strategy for low-risk attribute characteristics, and then gradually increasing the number of monitoring points from low to high risk levels; and planning inspection routes for the ground inspection subsystem and the aerial inspection subsystem to cover all risk attribute characteristics for inspection. Step S4: Acquire monitoring information and geodetic coordinate information of risk points and risk areas from the fixed-point monitoring subsystem, the ground inspection subsystem, and the aerial inspection subsystem; associate the three-dimensional grids corresponding to the locations of the respective monitoring information based on the geodetic coordinate information; process the monitoring information to obtain monitoring data; and then select corresponding colors to mark the corresponding three-dimensional grids according to the range to which the monitoring data belongs; wherein the monitoring information is monitored by the fixed-point monitoring subsystem, the ground inspection subsystem, and the aerial inspection subsystem arranged in the oil and gas storage area according to the layout of the monitoring points of the three-dimensional storage model; Among them, when the monitoring information includes infrared video / image information, the layout of the fixed-point monitoring subsystem in step S3 is specifically as follows: for the risk attribute characteristics of the low-risk level, each risk point is arranged with at least two fixed-point monitoring subsystems with infrared video / image information coverage, and the infrared video / image information of one of the fixed-point monitoring subsystems is simultaneously covered by another fixed-point monitoring subsystem and the risk point. Afterwards, the monitoring points are arranged in an encrypted manner from low to high according to the risk level.

2. A three-dimensional protection method for storage of hazardous oil and gas chemicals according to claim 1, characterized in that: In step S4, the monitoring information includes hydrocarbon gas information, and the hydrocarbon gas information is processed to obtain hydrocarbon gas data, and then a corresponding color is selected according to the range to which the hydrocarbon gas data belongs to mark the corresponding three-dimensional grid.

3. A three-dimensional protection method for oil and gas hazardous chemicals storage according to claim 1, characterized in that: In step S4, the monitoring information includes infrared video / image information, and the infrared image information is processed to obtain temperature data, and then the corresponding color is selected according to the range of the temperature data to mark the corresponding three-dimensional grid; In the case where the monitoring information includes infrared video / image information, step S4 further includes the following: The configured image comparison module analyzes and processes image information, compares the current image with the previous image to identify the different areas of the warehouse entity, and then marks the corresponding position of the 3D grid in a different color from the original 3D model, and triggers an alarm; The configured posture recognition module is used to analyze and process image information, identify the staff's illegal work behavior, and trigger an alarm; the configured face recognition module is used to analyze and process image information, identify staff information, and record staff's on-the-job information and illegal work behavior.

4. A three-dimensional protection method for oil and gas hazardous chemicals storage according to claim 1, characterized in that: In step S4, the monitoring information includes sound information, and the sound information is processed to obtain sound data, and then the corresponding color is selected to mark the corresponding monitoring point three-dimensional grid according to the range to which the sound data belongs; the configured sound comparison module is used to analyze and process the sound data, and the current sound decibel data is compared with the past sound decibel data to determine whether there is an abnormal sound. If there is an abnormal sound, an alarm is triggered.

5. A three-dimensional protection method for oil and gas hazardous chemicals storage according to claim 4, characterized in that: In step S4, if there is an abnormal sound, the following processing is performed: the configured sound source identification module is used to analyze and process the sound data, and the sound source of the current sound data is identified based on its pre-trained model.

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