Regional monitoring method and device, equipment, storage medium and product

Abstract

The invention discloses a region monitoring method, device and equipment, a storage medium and a product. At least one piece of monitoring data of an oil and gas pipeline area is obtained, the monitoring data is associated with an identification code, the identification code comprises block information, the oil and gas pipeline area comprises two types of an oil and gas pipeline high consequence area and an oil and gas pipeline hazard source area, and each type of area comprises at least one area block; determining abnormal data existing in the at least one piece of monitoring data; determining a target area block corresponding to the abnormal data based on the identification code of the abnormal data; and performing abnormity alarm based on the target area block and the abnormal data. Accurate positioning of the abnormal event is realized, and the monitoring efficiency is effectively improved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of oil and gas pipelines, and in particular to a regional monitoring method, device, equipment, storage medium and product. Background Art

[0002] As an important infrastructure for energy transmission, the safety of oil and gas pipelines is directly related to public safety and environmental safety. However, oil and gas pipelines may face various risks during operation, such as equipment failure, third-party sabotage, natural disasters, etc. These risks are particularly prominent in high-consequence areas and major hazard source areas. High-consequence areas usually refer to areas where pipeline leaks may have a significant adverse impact on the public and the environment, such as densely populated areas and important facility areas; major hazard source areas refer to equipment, facilities or areas that may cause major accidents.

[0003] Traditional oil and gas pipeline management methods often rely on manual inspections and simple sensor monitoring, which have problems such as low monitoring efficiency and inaccurate positioning. Summary of the invention

[0004] The present invention provides a regional monitoring method, device, equipment, storage medium and product to solve the problems of low monitoring efficiency and inaccurate positioning in the existing oil and gas pipeline management method.

[0005] According to one aspect of the present invention, there is provided a regional monitoring method, comprising:

[0006] Acquire at least one monitoring data of an oil and gas pipeline area, wherein the monitoring data is associated with an identification code, the identification code includes block information, the oil and gas pipeline area includes two types: an oil and gas pipeline high consequence area and an oil and gas pipeline danger source area, and each type of area includes at least one area block;

[0007] Determining abnormal data present in the at least one monitoring data;

[0008] Based on the identification code of the abnormal data, determining the target area block corresponding to the abnormal data;

[0009] Based on the target area block and the abnormal data, an abnormality alarm is performed.

[0010] According to another aspect of the present invention, there is provided a regional monitoring device, comprising:

[0011] A data acquisition module, used to acquire at least one monitoring data of an oil and gas pipeline area, wherein the monitoring data is associated with an identification code, the identification code includes block information, the oil and gas pipeline area includes two types: an oil and gas pipeline high consequence area and an oil and gas pipeline danger source area, and each type of area includes at least one area block;

[0012] an abnormality determination module, used to determine abnormal data present in the at least one monitoring data;

[0013] A region block determination module, configured to determine a target region block corresponding to the abnormal data based on an identification code of the abnormal data;

[0014] The abnormality alarm module is used to perform abnormality alarm based on the target area block and the abnormal data.

[0015] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the regional monitoring method described in any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the regional monitoring method described in any embodiment of the present invention when executed.

[0020] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the area monitoring method described in any embodiment of the present invention is implemented.

[0021] The technical solution provided by the embodiment of the present invention obtains at least one monitoring data of an oil and gas pipeline area, wherein the monitoring data is associated with an identification code, the identification code includes block information, and the oil and gas pipeline area includes two types: high consequence areas of oil and gas pipelines and dangerous source areas of oil and gas pipelines, and each type of area includes at least one area block; determines abnormal data existing in the at least one monitoring data; determines the target area block corresponding to the abnormal data based on the identification code of the abnormal data; and performs an abnormal alarm based on the target area block and the abnormal data. Through the above technical solution, the monitoring data of the oil and gas pipeline area is collected, the abnormal data in the monitoring data is determined, and the source of the abnormal data is determined with the help of the block information in the identification code, thereby triggering an abnormal alarm. Accurate positioning of abnormal events is achieved, and the monitoring efficiency is effectively improved.

[0022] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 is a flow chart of a regional monitoring method provided by Embodiment 1 of the present invention;

[0025] Figure 2 is a structural schematic diagram of a regional monitoring device provided in Embodiment 2 of the present invention;

[0026] Figure 3 It is a structural schematic diagram of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1This is a flow chart of a regional monitoring method provided by the first embodiment of the present invention. This embodiment is applicable to the case of monitoring and alarming oil and gas pipeline areas. The method can be executed by a regional monitoring device. The regional monitoring device can be implemented in the form of hardware and / or software. The regional monitoring device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0031] S110. Acquire at least one monitoring data of an oil and gas pipeline area, wherein the monitoring data is associated with an identification code, the identification code includes block information, and the oil and gas pipeline area includes two types: an oil and gas pipeline high consequence area and an oil and gas pipeline hazard source area, and each type of area includes at least one area block.

[0032] In this embodiment, the monitoring data is collected in real time through Internet of Things technology (such as sensors and wireless communication technology) and is used to monitor the oil and gas pipeline area. The monitoring data may include environmental data and equipment operation data. Among them, the environmental data may include temperature, pressure and leakage risk, etc.; the equipment operation data may include equipment status, fault information and operating parameters, etc. The identification code is a code used to uniquely identify and distinguish the monitored object. Among them, the monitored object may include equipment and regional blocks. The identification code includes block information, which is used to distinguish different regional blocks, and different regional blocks correspond to different identification codes. Oil and gas high consequence areas usually refer to areas where pipeline leaks may cause greater adverse effects on the public and the environment, such as densely populated areas, important facilities areas, etc. The oil and gas pipeline hazard source area refers to equipment, facilities or areas that may cause major accidents. Each type of area includes at least one regional block, and each regional block is uniquely identified and managed by an identification code.

[0033] Specifically, the oil and gas pipeline area includes two types: oil and gas pipeline high consequence area and oil and gas pipeline danger source area. Each type of area includes at least one area block, and each area block is associated with a unique identification code. Using Internet of Things technology (such as sensors and wireless communication technology), at least one monitoring data in the oil and gas pipeline area is collected in real time, and the monitoring data includes an identification code.

[0034] S120: Determine abnormal data existing in the at least one monitoring data.

[0035] Specifically, at least one monitoring data is analyzed and processed using a preset recognition algorithm to determine abnormal data in the monitoring data. The preset recognition algorithm may be a machine learning algorithm (such as an isolation forest, a single-class support vector machine), or a deep learning model (such as an autoencoder), or may be determined based on a preset threshold corresponding to each monitoring data. This embodiment does not limit the preset recognition algorithm.

[0036] S130. Determine a target area block corresponding to the abnormal data based on the identification code of the abnormal data.

[0037] Specifically, after determining the abnormal data, the identification code associated with the abnormal data is parsed to identify the block information contained in the identification code, and then the area block associated with the block information is determined, and the area block is the target area block corresponding to the abnormal data.

[0038] S140: Based on the target area block and the abnormal data, an abnormality alarm is issued.

[0039] Specifically, after determining the abnormal data and its corresponding target area block, the abnormal data is analyzed to determine the type, severity and adjustment measures of the abnormal data. At the same time, in combination with the target area block, a corresponding alarm mechanism is triggered.

[0040] Optionally, the alarm mechanism will generate targeted alarm information based on the type and severity of the abnormal data, and notify operators through various methods such as text messages, emails, sound and light alarms, and system push notifications to ensure that operators can respond quickly and take appropriate measures.

[0041] The technical solution provided in the first embodiment of the present invention obtains at least one monitoring data of an oil and gas pipeline area, wherein the monitoring data is associated with an identification code, the identification code includes block information, the oil and gas pipeline area includes two types: high consequence area of ​​oil and gas pipeline and dangerous source area of ​​oil and gas pipeline, and each type of area includes at least one area block; determines abnormal data existing in the at least one monitoring data; determines the target area block corresponding to the abnormal data based on the identification code of the abnormal data; and performs an abnormal alarm based on the target area block and the abnormal data. Through the above technical solution, the monitoring data of the oil and gas pipeline area is collected, the abnormal data in the monitoring data is determined, and the source of the abnormal data is determined with the help of the block information in the identification code, thereby triggering an abnormal alarm. Accurate positioning of abnormal events is achieved, and the monitoring efficiency is effectively improved.

[0042] In some embodiments, the determining of abnormal data present in the at least one monitoring data includes: determining monitoring data in the at least one monitoring data that is greater than a corresponding preset threshold as abnormal data.

[0043] In this embodiment, the preset threshold value can be understood as a pre-set value. Monitoring objects corresponding to different monitoring data correspond to different preset threshold values.

[0044] Specifically, for each monitoring data in at least one monitoring data, it is determined whether the current monitoring data is greater than a preset threshold value, and if the current monitoring data is greater than the preset threshold value, the current monitoring data is determined as abnormal data. Through the above technical solution, the rapid determination of abnormal data is achieved, laying a foundation for further improving monitoring efficiency.

[0045] In some embodiments, determining the target area block corresponding to the abnormal data based on the identification code of the abnormal data includes: extracting block information from the identification code of the abnormal data; and determining the target area block corresponding to the abnormal data using a preset area mapping algorithm based on the block information.

[0046] In this embodiment, the preset area mapping algorithm can be understood as a preset mapping rule or mapping table, which is used to map the block information in the identification code to a specific area block.

[0047] Specifically, the identification code of the abnormal data is parsed, and the block information in the identification code is extracted. Then, based on the block information, the abstract block information and the actual area block are matched using a preset area mapping algorithm to determine the target area block corresponding to the abnormal data. For example, the extracted block information is "01", and the area block can be directly found based on the preset area mapping algorithm. Through this solution, the source of the abnormal data can be quickly and accurately located, significantly improving the efficiency and accuracy of positioning.

[0048] In some embodiments, the abnormal alarm based on the target area block and the abnormal data includes: highlighting the target area block on the alarm interface, and displaying the adjustment measures on the alarm interface, wherein the adjustment measures are determined by a preset adjustment algorithm based on the abnormal data; and / or sending the location information of the target area block and the adjustment measures to the mobile terminal of the operator to give an alarm prompt to the operator. Through the above technical solution, it is possible to ensure that the operator obtains abnormal information in a timely and accurate manner and takes corresponding measures, thereby improving the response efficiency of monitoring.

[0049] In this embodiment, the alarm interface can be understood as a visual interface in the monitoring system for displaying abnormal alarm information. Highlighting is a visual prompt method that distinguishes target area blocks from non-target area blocks by using different colors, brightness or boundary styles, so as to more intuitively highlight abnormal areas on the alarm interface and help monitoring personnel quickly identify and locate problems. The preset adjustment algorithm can be understood as a pre-set algorithm for generating adjustment measures based on abnormal data. The specific preset adjustment algorithm is not limited in this embodiment, for example, it can be a machine learning model or a neural network model.

[0050] Specifically, after the target area block is determined, the image of the target area block can be highlighted on the alarm interface. For example, in the map interface of the oil and gas pipeline area of ​​the monitoring system, the target area block can be distinguished from other areas by different colors or border styles, so that the monitoring personnel can quickly identify the abnormal location. At the same time, based on the abnormal data, the preset adjustment algorithm is used to generate adjustment measures, and the adjustment measures are displayed on the alarm interface;

[0051] In order to prevent operators from missing alarms, the location information and adjustment measures of the target area blocks can also be sent to the operators' mobile terminals to provide alarm prompts to the operators. For example, when the monitoring system detects an abnormality, a push notification containing the location information and adjustment measures of the target area blocks will be sent to the operator's mobile phone to ensure that the operator can respond in a timely manner.

[0052] It is worth noting that the above two alarm solutions can be used separately or simultaneously according to the actual application scenario and the working environment of the operators. If the operators mainly work in the monitoring center, they can only use the highlight display and adjustment measures prompts of the alarm interface; if the operators often work on-site far away from the monitoring center, it is more appropriate to push the information to the mobile terminal. Using two alarm solutions at the same time can provide more comprehensive protection, ensuring that no matter where the operators are, they can receive abnormal alarm information in time and take corresponding measures.

[0053] In some embodiments, the abnormal data includes equipment operation data, and the identification code also includes equipment information; the abnormal alarm is performed based on the target area block and the abnormal data, including: highlighting the target area block and the equipment corresponding to the equipment operation data on the alarm interface, and displaying the adjustment measures on the alarm interface, wherein the adjustment measures are determined based on the equipment operation data through a preset adjustment algorithm; and / or, the location information of the target area block, the location information of the equipment corresponding to the equipment operation data and the adjustment measures are sent to the mobile terminal of the operator to provide an alarm prompt to the operator.

[0054] In this embodiment, the device information is used to distinguish different devices.

[0055] Specifically, when the abnormal data includes device operation data, the abnormal data can be parsed to extract block information and device information. Then, based on the block information, using a preset area mapping algorithm, the target area block corresponding to the abnormal information can be determined. Based on the device information, using a preset device mapping algorithm, the target device corresponding to the abnormal information, that is, the device corresponding to the device operation data, can be determined.

[0056] Furthermore, after the target area block and target device are determined, the images of the target area block and target device can be highlighted on the alarm interface. For example, in the map interface of the oil and gas pipeline area of ​​the monitoring system, the target area block and target device can be distinguished from other areas by different colors or border styles, so that the monitoring personnel can quickly identify the abnormal location. At the same time, based on the abnormal data, the preset adjustment algorithm is used to generate adjustment measures, and the adjustment measures are displayed on the alarm interface;

[0057] In order to prevent the operators from missing the alarm, the location information of the target area block, the location information of the target equipment and the adjustment measures can also be sent to the operator's mobile terminal to provide an alarm prompt to the operator.

[0058] It is worth noting that the above two alarm solutions can be used separately or simultaneously according to the actual application scenario and the working environment of the operators. Through the above technical solutions, more accurate positioning of equipment operation data can be achieved, laying a solid foundation for further improving emergency response efficiency and enhancing the safety of oil and gas pipelines.

[0059] In some embodiments, the identification code is a type of a QR code or a radio frequency identification tag.

[0060] In this embodiment, the QR code is a two-dimensional barcode that quickly reads a large amount of information by scanning a black and white pattern, and is often used for information storage and rapid identification. Radio Frequency Identification (RFID) is a wireless communication tag that exchanges data with a reader / writer through radio waves to achieve contactless identification and information transmission, and is suitable for automated management and remote monitoring.

[0061] Through the above technical solution, not only efficient storage and fast reading of information are achieved, but also non-contact identification and remote management are realized, and the source area blocks of abnormal data are traced quickly and accurately, providing precise positioning and timely response to abnormal events in oil and gas pipelines.

[0062] Optionally, before acquiring at least one monitoring data of the oil and gas pipeline area, it also includes associating an identification code for each area block and each device.

[0063] Embodiment 2

[0064] Figure 2 Schematic diagram of the structure of a regional monitoring device provided by Embodiment 2 of the present invention. Figure 3 As shown, the device comprises:

[0065] The data acquisition module 21 is used to acquire at least one monitoring data of the oil and gas pipeline area, wherein the monitoring data is associated with an identification code, the identification code includes block information, the oil and gas pipeline area includes two types: oil and gas pipeline high consequence area and oil and gas pipeline danger source area, and each type of area includes at least one area block;

[0066] An abnormality determination module 22, used to determine abnormal data present in the at least one monitoring data;

[0067] A region block determination module 23, configured to determine a target region block corresponding to the abnormal data based on the identification code of the abnormal data;

[0068] The abnormality alarm module 24 is used to perform abnormality alarm based on the target area block and the abnormal data.

[0069] The technical solution provided by the second embodiment of the present invention realizes the precise positioning of abnormal equipment and areas, and effectively improves the monitoring efficiency.

[0070] Optionally, the abnormality determination module 22 is specifically configured to determine monitoring data in the at least one monitoring data that is greater than a corresponding preset threshold as abnormal data.

[0071] Optionally, the region block determination module 23 includes:

[0072] An information extraction unit, used to extract block information from the identification code of the abnormal data;

[0073] The area block confirmation unit is used to determine the target area block corresponding to the abnormal data according to the block information and using a preset area mapping algorithm.

[0074] Optionally, an abnormal alarm module 24 is specifically used to highlight the target area block on the alarm interface and display the adjustment measures on the alarm interface, wherein the adjustment measures are determined by a preset adjustment algorithm based on the abnormal data;

[0075] and / or,

[0076] The location information of the target area block and the adjustment measures are sent to the mobile terminal of the operator to give an alarm prompt to the operator.

[0077] Optionally, the abnormal data includes equipment operation data, and the identification code also includes equipment information;

[0078] Optionally, an abnormal alarm module 24 is specifically used to highlight the target area block and the equipment corresponding to the equipment operation data on the alarm interface, and display adjustment measures on the alarm interface, wherein the adjustment measures are determined by a preset adjustment algorithm based on the equipment operation data;

[0079] and / or,

[0080] The location information of the target area block, the location information of the equipment corresponding to the equipment operation data, and the adjustment measures are sent to the mobile terminal of the operator to give an alarm prompt to the operator.

[0081] Optionally, the identification code is a type of a QR code or a radio frequency identification tag.

[0082] The area monitoring device provided in the embodiment of the present invention can execute the area monitoring method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0083] Embodiment 3

[0084] Figure 3 : is a schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0085] like Figure 3 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0086] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0087] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the area monitoring method.

[0088] In some embodiments, the area monitoring method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the area monitoring method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the area monitoring method in any other appropriate manner (e.g., by means of firmware).

[0089] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0090] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0091] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0092] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0093] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0094] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0095] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0096] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

[0097] An embodiment of the present invention further provides a computer program product, including a computer program and / or instructions, which, when executed by a processor, implements the regional monitoring method provided in any embodiment of the present application.

[0098] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0099] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A regional monitoring method, characterized in that: include: Acquire at least one monitoring data of an oil and gas pipeline area, wherein the monitoring data is associated with an identification code, the identification code includes block information, the oil and gas pipeline area includes two types: an oil and gas pipeline high consequence area and an oil and gas pipeline danger source area, and each type of area includes at least one area block; Determining abnormal data present in the at least one monitoring data; Based on the identification code of the abnormal data, determining the target area block corresponding to the abnormal data; Based on the target area block and the abnormal data, an abnormality alarm is performed.

2. The method according to claim 1, characterized in that The determining of abnormal data existing in the at least one monitoring data comprises: The monitoring data that is greater than the corresponding preset threshold value among the at least one monitoring data is determined as abnormal data.

3. The method according to claim 1, characterized in that The determining, based on the identification code of the abnormal data, a target area block corresponding to the abnormal data includes: Extracting block information from the identification code of the abnormal data; According to the block information, a preset area mapping algorithm is used to determine the target area block corresponding to the abnormal data.

4. The method according to claim 1, characterized in that The performing an abnormality alarm based on the target area block and the abnormal data includes: Highlighting the target area block on an alarm interface, and displaying adjustment measures on the alarm interface, wherein the adjustment measures are determined by a preset adjustment algorithm based on the abnormal data; and / or, The location information of the target area block and the adjustment measures are sent to the mobile terminal of the operator to give an alarm prompt to the operator.

5. The method according to claim 1, characterized in that The abnormal data includes equipment operation data, and the identification code also includes equipment information; The performing an abnormality alarm based on the target area block and the abnormal data includes: Highlighting the target area block and the equipment corresponding to the equipment operation data on the alarm interface, and displaying adjustment measures on the alarm interface, wherein the adjustment measures are determined by a preset adjustment algorithm based on the equipment operation data; and / or, The location information of the target area block, the location information of the equipment corresponding to the equipment operation data, and the adjustment measures are sent to the mobile terminal of the operator to give an alarm prompt to the operator.

6. The method according to claim 1, characterized in that The type of the identification code is a two-dimensional code or a radio frequency identification tag.

7. A regional monitoring device, characterized in that: include: A data acquisition module, used to acquire at least one monitoring data of an oil and gas pipeline area, wherein the monitoring data is associated with an identification code, the identification code includes block information, the oil and gas pipeline area includes two types: an oil and gas pipeline high consequence area and an oil and gas pipeline danger source area, and each type of area includes at least one area block; an abnormality determination module, used to determine abnormal data present in the at least one monitoring data; A region block determination module, configured to determine a target region block corresponding to the abnormal data based on an identification code of the abnormal data; The abnormality alarm module is used to perform abnormality alarm based on the target area block and the abnormal data.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the regional monitoring method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the regional monitoring method as described in any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed by a processor, implements the area monitoring method according to any one of claims 1 to 6.

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