Intelligent AI video analysis monitoring platform for energy industry

Abstract

The invention belongs to the technical field of video analysis and monitoring, and particularly relates to an intelligent AI video analysis and monitoring platform for the energy industry, and the platform comprises a problem analysis module which is used for determining the operation state of oil exploitation equipment according to the operation image and operation environment of the oil exploitation equipment; and the personnel management module is used for distributing the analyzed problems according to the task load of operators on duty when the problem analysis module is used for analyzing the operation problems of the oil exploitation equipment. By arranging the problem analysis module, the operation state of the oil exploitation equipment can be determined according to the operation image and the operation environment of the oil exploitation equipment, so that the detection accuracy of the oil exploitation equipment can be improved to a certain extent, and the safety is improved to a certain extent.

Description

Technical Field

[0001] The present invention relates to the field of video analysis and monitoring technology, and specifically to an intelligent AI video analysis and monitoring platform for the energy industry. Background Art

[0002] The energy industry refers to the industry that mines, produces, processes and sells energy resources. The energy industry involves many types of energy, including fossil energy and non-fossil energy. Fossil energy mainly includes coal, oil and natural gas, which are one-time use resources. Non-fossil energy includes renewable energy and new energy, such as hydropower, solar energy, wind energy, biomass energy, geothermal energy, ocean energy, etc.

[0003] At present, video monitoring platforms are usually used in existing oil extraction equipment to monitor the operation of oil extraction equipment, so that when oil extraction equipment is damaged, personnel can be arranged in time to repair the oil extraction equipment and other operations, so as to reduce the hidden dangers of oil extraction equipment operation safety to a certain extent. However, the existing video monitoring platform can usually only judge whether the oil extraction equipment is damaged based on the operation image of the oil extraction equipment, and then there will be a phenomenon of low detection accuracy; in addition, when oil extraction equipment is damaged, it is difficult to reasonably manage the maintenance personnel, and there may be an uneven amount of tasks completed by each maintenance personnel, resulting in psychological imbalance of personnel. Therefore, an intelligent AI video analysis monitoring platform for the energy industry is invented. Summary of the invention

[0004] To solve the above technical problems, according to one aspect of the present invention, the present invention provides the following technical solutions:

[0005] An intelligent AI video analysis and monitoring platform for the energy industry, comprising:

[0006] A problem analysis module, used to determine the operating status of the oil production equipment according to the operating image and operating environment of the oil production equipment;

[0007] The personnel management module is used to allocate the analyzed problems according to the workload of the on-duty personnel when the problem analysis module is used to analyze the operating problems of the oil production equipment;

[0008] The problem analysis module includes:

[0009] Video acquisition module, used to collect operation videos of oil extraction equipment;

[0010] An image analysis module is used to analyze the operating status of the oil extraction equipment based on the images in the video collected by the video acquisition module;

[0011] An environmental analysis module is used to determine whether there are signs of fireworks in the environment around the oil extraction equipment based on the environment in the video collected by the video collection module;

[0012] The problem determination module is used to determine the operation problem of the oil production equipment according to the analysis status of the image analysis module and the analysis status of the environment analysis module.

[0013] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the image analysis module includes:

[0014] An image acquisition module is used to acquire images from the video captured by the video acquisition module;

[0015] The image storage module is used to store various images of the oil extraction equipment during operation when problems occur.

[0016] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the image analysis module further includes:

[0017] An image comparison module, used to compare the oil production equipment operation image acquired by the image acquisition module with the oil production equipment operation image stored in the image storage module;

[0018] The image judgment module is used to judge whether the oil production equipment operation image obtained by the image acquisition module is similar to that in the image storage module. If so, it means that there is a problem with the oil production equipment.

[0019] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the environmental analysis module includes:

[0020] The environment acquisition module is used to acquire the environment in the video captured by the video acquisition module;

[0021] The environment storage module is used to store various environments when the oil extraction equipment is running when problems occur.

[0022] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the environmental analysis module further includes:

[0023] An environment comparison module, used to compare the operating environment of the oil production equipment acquired by the environment acquisition module with the operating environment of the oil production equipment stored in the environment storage module;

[0024] The environment judgment module is used to judge whether the operating environment of the oil production equipment obtained by the environment acquisition module is similar to that in the environment storage module. If so, it means that there is a problem with the oil production equipment.

[0025] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the problem determination module includes:

[0026] Database, used to store various problems and corresponding solutions of oil extraction equipment;

[0027] The comparison module is used to compare the problems judged by the image judgment module and the environment judgment module with the problems stored in the database, so as to compare the operation problems of the oil production equipment and their solutions.

[0028] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the problem determination module also includes:

[0029] A statistics module is used to collect statistics on the problems compared by the comparison module;

[0030] The task analysis module is used to analyze the task volume counted by the statistics module.

[0031] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the personnel management module includes:

[0032] The information storage module is used to store the information of the on-duty personnel, including name, contact information, and the time of the last task execution;

[0033] The information input module is used to input the information of the on-duty personnel into the information storage module.

[0034] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the personnel management module also includes:

[0035] The personnel analysis module is used to analyze the status of the on-duty personnel to distinguish the on-duty personnel who have not performed their tasks;

[0036] The sorting module is used to sort the on-duty personnel who have not performed their tasks according to the time when they last performed their tasks.

[0037] As a preferred solution of the intelligent AI video analysis and monitoring platform for the energy industry described in the present invention, the personnel management module also includes:

[0038] A central processing unit, for allocating tasks in the order arranged in the sorting module according to the task amount analyzed by the task analysis module;

[0039] The replacement module is used to adjust the shifts of on-duty personnel who are temporarily busy after assigning tasks, thus realizing humanized management.

[0040] Compared with existing technologies:

[0041] By setting up a problem analysis module, it is possible to determine the operating status of the oil extraction equipment according to the operating image and operating environment of the oil extraction equipment, thereby improving the detection accuracy of the oil extraction equipment to a certain extent, and improving the safety to a certain extent; in addition, by setting up a personnel management module, it is possible to allocate the analyzed problems according to the workload of the on-duty personnel when analyzing the operating problems of the oil extraction equipment using the problem analysis module, thereby avoiding unpleasant phenomena caused by different work intensities and work times. Not only does it realize personalized management, it also reduces the difficulty of personnel management to a certain extent and improves management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0043] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0044] The present invention provides an intelligent AI video analysis and monitoring platform for the energy industry. Figure 1 ;

[0045] It includes: a problem analysis module, which is used to determine the operating status of the oil production equipment according to the operating image and operating environment of the oil production equipment; a personnel management module, which is used to allocate the analyzed problems according to the workload of the on-duty personnel when the operating problems of the oil production equipment are analyzed by the problem analysis module;

[0046] The problem analysis module includes: a video acquisition module, which is used to acquire the operation video of the oil extraction equipment; an image analysis module, which is used to analyze the operation status of the oil extraction equipment according to the image in the video acquired by the video acquisition module; an environment analysis module, which is used to analyze the operation status of the oil extraction equipment according to the environment in the video acquired by the video acquisition module; and a problem determination module, which is used to determine whether there are signs of fireworks in the environment around the oil extraction equipment according to the analysis status of the image analysis module and the analysis status of the environment analysis module.

[0047] The image analysis module includes: an image acquisition module, which is used to acquire images from the video captured by the video acquisition module; an image storage module, which is used to store various images of the oil extraction equipment when it is running when a problem occurs; an image comparison module, which is used to compare the oil extraction equipment operation image acquired by the image acquisition module with the oil extraction equipment operation image stored in the image storage module; and an image judgment module, which is used to judge whether the oil extraction equipment operation image acquired by the image acquisition module is similar to that in the image storage module. If so, it means that there is a problem with the oil extraction equipment.

[0048] The environment analysis module includes: an environment acquisition module, which is used to acquire the environment in the video collected by the video acquisition module; an environment storage module, which is used to store various environments in which the oil extraction equipment is operating when problems occur; an environment comparison module, which is used to compare the operating environment of the oil extraction equipment acquired by the environment acquisition module with the operating environment of the oil extraction equipment stored in the environment storage module; and an environment judgment module, which is used to judge whether the operating environment of the oil extraction equipment acquired by the environment acquisition module is similar to that in the environment storage module. If so, it means that there is a problem with the oil extraction equipment.

[0049] The problem determination module includes: a database for storing various problem phenomena of oil extraction equipment and corresponding solutions; a comparison module for comparing the problems determined by the image judgment module and the environment judgment module with the problems stored in the database to compare the operating problems of the oil extraction equipment and their solutions; a statistics module for counting the problems compared by the comparison module; and a task analysis module for analyzing the task volume counted by the statistics module.

[0050] The personnel management module includes: an information storage module for storing the information of the on-duty personnel, including name, contact information, and last task execution time; an information entry module for entering the on-duty personnel's information into the information storage module; a personnel analysis module for analyzing the status of the on-duty personnel to distinguish the on-duty personnel who have not executed the task; a sorting module for sorting the on-duty personnel who have not executed the task according to the last task execution time; a central processing unit for assigning tasks in the sorting module in the order arranged according to the task volume analyzed by the task analysis module; a replacement module for adjusting the shifts of on-duty personnel who have temporary matters after assigning tasks, so as to realize humanized management.

[0051] When used, the specific steps are as follows:

[0052] Step 1: Collect the operation video of the oil extraction equipment through the video acquisition module;

[0053] Step 2: The image in the video collected by the video acquisition module is acquired by the image acquisition module. After acquisition, the image comparison module will be used to compare the oil extraction equipment operation image acquired by the image acquisition module with the oil extraction equipment operation image stored in the image storage module. After comparison, the image judgment module will be used to judge whether the oil extraction equipment operation image acquired by the image acquisition module is similar to that in the image storage module. If so, it means that there is a problem with the oil extraction equipment. In this process, if the image judgment module determines that the oil extraction equipment operation image acquired by the image acquisition module contains a loose joint phenomenon, it means that the oil extraction equipment has a loose joint phenomenon.

[0054] Step 3: The environment in the video collected by the video acquisition module is acquired through the environment acquisition module. After acquisition, the operating environment of the oil extraction equipment acquired by the environment acquisition module is compared with the operating environment of the oil extraction equipment stored in the environment storage module through the environment comparison module. After comparison, the environment judgment module is used to judge whether the operating environment of the oil extraction equipment acquired by the environment acquisition module is similar to that in the environment storage module. If so, it means that there is a problem with the oil extraction equipment. In this process, if the environment judgment module judges that the operating environment of the oil extraction equipment acquired by the image acquisition module contains an abnormal sound of "drop by drop", it means that there is an abnormal sound of "drop by drop" in the oil extraction equipment;

[0055] Step 4: The problems judged by the image judgment module and the environment judgment module are compared with the problems stored in the database through the comparison module to compare the operation problems of the oil extraction equipment and their solutions. After the comparison, the problems compared by the comparison module are counted through the statistical module. After the statistics, the task volume counted by the statistical module is analyzed through the task analysis module;

[0056] Step 5: Enter the information of the on-duty personnel into the information storage module through the information entry module. After entry, the on-duty personnel's information will be stored through the information storage module. After storage, the on-duty personnel's status will be analyzed through the personnel analysis module to distinguish the on-duty personnel who have not performed the task. After distinction, the on-duty personnel who have not performed the task will be sorted according to the last task execution time through the sorting module. After sorting, the central processing unit will allocate tasks in the sorting module according to the order of arrangement based on the task volume analyzed by the task analysis module. After allocation, the on-duty personnel who are temporarily busy can be adjusted by replacing the module to achieve humanized management.

[0057] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced by equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed in the present invention may be used in combination with each other in any manner, and the fact that these combinations are not exhaustively described in this specification is only for the sake of omitting space and saving resources. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. An intelligent AI video analysis and monitoring platform for the energy industry, characterized in that: include: A problem analysis module, used to determine the operating status of the oil production equipment according to the operating image and operating environment of the oil production equipment; The personnel management module is used to allocate the analyzed problems according to the workload of the on-duty personnel when the problem analysis module is used to analyze the operating problems of the oil production equipment; The problem analysis module includes: Video acquisition module, used to collect operation videos of oil extraction equipment; An image analysis module is used to analyze the operating status of the oil extraction equipment based on the images in the video collected by the video acquisition module; An environmental analysis module is used to determine whether there are signs of fireworks in the environment around the oil extraction equipment based on the environment in the video collected by the video collection module; A problem determination module, used to determine the operation problem of the oil production equipment according to the analysis status of the image analysis module and the analysis status of the environment analysis module; The personnel management module includes: The information storage module is used to store the information of the on-duty personnel, including name, contact information, and the time of the last task execution; An information input module is used to input the information of the on-duty personnel into the information storage module; The personnel management module also includes: The personnel analysis module is used to analyze the status of the on-duty personnel to distinguish the on-duty personnel who have not performed their tasks; A sorting module is used to sort the on-duty personnel who have not performed tasks according to the time of their last task execution; The personnel management module also includes: A central processing unit, for allocating tasks in the order arranged in the sorting module according to the task amount analyzed by the task analysis module; The replacement module is used to adjust the shifts of on-duty personnel who are temporarily busy after assigning tasks, thus realizing humanized management.

2. According to claim 1, an intelligent AI video analysis and monitoring platform for the energy industry is characterized in that: The image analysis module comprises: An image acquisition module is used to acquire images from the video captured by the video acquisition module; The image storage module is used to store various images of the oil extraction equipment during operation when problems occur.

3. The intelligent AI video analysis and monitoring platform for the energy industry according to claim 2 is characterized in that: The image analysis module also includes: An image comparison module, used to compare the oil production equipment operation image acquired by the image acquisition module with the oil production equipment operation image stored in the image storage module; The image judgment module is used to judge whether the oil production equipment operation image obtained by the image acquisition module is similar to that in the image storage module. If so, it means that there is a problem with the oil production equipment.

4. The intelligent AI video analysis and monitoring platform for the energy industry according to claim 3 is characterized in that: The environmental analysis module includes: The environment acquisition module is used to acquire the environment in the video captured by the video acquisition module; The environment storage module is used to store various environments when the oil extraction equipment is running when problems occur.

5. The intelligent AI video analysis and monitoring platform for the energy industry according to claim 4 is characterized in that: The environmental analysis module also includes: An environment comparison module, used to compare the operating environment of the oil production equipment acquired by the environment acquisition module with the operating environment of the oil production equipment stored in the environment storage module; The environment judgment module is used to judge whether the operating environment of the oil production equipment obtained by the environment acquisition module is similar to that in the environment storage module. If so, it means that there is a problem with the oil production equipment.

6. The intelligent AI video analysis and monitoring platform for the energy industry according to claim 5 is characterized in that: The problem determination module comprises: Database, used to store various problems and corresponding solutions of oil extraction equipment; The comparison module is used to compare the problems judged by the image judgment module and the environment judgment module with the problems stored in the database, so as to compare the operation problems of the oil production equipment and their solutions.

7. The intelligent AI video analysis and monitoring platform for the energy industry according to claim 6 is characterized in that: The problem determination module also includes: A statistics module is used to collect statistics on the problems compared by the comparison module; The task analysis module is used to analyze the task volume counted by the statistics module.

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