Dangerous gas leakage data quick access method and system, terminal and medium

Abstract

The invention provides a dangerous gas leakage data rapid access method and system, and the method comprises the steps: obtaining leakage data of monitoring equipment of different manufacturer protocols on site, and obtaining external monitoring data; summarizing the external monitoring data and preset internal data to obtain leakage monitoring summarized data; preprocessing the leakage monitoring summarized data, and extracting feature vectors containing different protocols; fusing the feature vectors, and making decisions according to different user application requirements; and performing protocol conversion on the leakage monitoring summarized data according to the decision, and sending the data after the protocol conversion to a corresponding application server to complete the quick access of the dangerous gas leakage data. According to the invention, the leakage monitoring data of various interfaces can be quickly acquired through one device; the problem that a large amount of information islands exist in traditional monitoring equipment is solved; and the measurement error and the false alarm rate caused by a single instrument are reduced.

Description

Technical Field

[0001] The present invention relates to a rapid access technology for leakage data of a petroleum refining enterprise, and in particular to a rapid access system for dangerous gas leakage data, a system, a terminal and a medium. Background Art

[0002] The rapid development of global information technology has made it possible for information technology to be quickly integrated with the traditional refining industry with its wide penetration and unparalleled advancement. The level of leakage information management of petroleum refining enterprises has become an important indicator of the level and comprehensive strength of the enterprise. At present, there are still many problems to be solved in the rapid access of leakage data in petroleum refining enterprises, such as: production monitoring data has not been effectively shared, and there is a lack of monitoring means for the main factors affecting the production process; centralized leakage management cannot be carried out due to the existence of "information islands"; the feedback of on-site leakage information is relatively lagging, resulting in increased operating costs for enterprises; the monitoring equipment used on site is of various forms and belongs to different manufacturers and platforms, making it difficult to achieve unified rapid processing of leakage information throughout the plant.

[0003] In recent years, although many enterprises and institutions have conducted a certain degree of research on hazardous gas leakage monitoring and rapid access to data, the research on rapid access to hazardous gas leakage data at the equipment level is still in its infancy. At present, in the field of gas leakage monitoring, most enterprises and institutions use fixed monitoring equipment to monitor leaked gases in real time. The data of each monitoring device is relatively isolated, and a large amount of monitoring data cannot be processed quickly after uploading, so it is difficult to effectively stop leakage accidents in the first place; due to the large number of monitoring equipment types and protocols provided by different companies, it is difficult to be compatible one by one. Most of them need secondary development, otherwise there will be a large number of information islands of leakage. At the same time, due to the physical and chemical properties of the leaked gas, the characteristics of gas release, the influence of geography and environmental climate, the reliability of a single monitoring device, etc., the false alarm rate of on-site equipment is very high.

[0004] In summary, the existing technologies for monitoring hazardous gas leakage data usually have the following technical problems:

[0005] 1. There are many on-site monitoring devices with various interfaces, making it difficult to quickly access them through a single hardware device;

[0006] 2. On-site monitoring is performed by different manufacturers. The communication protocols of different manufacturers make it difficult to quickly access the monitoring system, resulting in a large number of information islands in leakage monitoring management;

[0007] 3. Due to the influence of external environment such as high temperature and high humidity environment, the age of sensors, and whether the threshold of a single device exceeds the standard, there are a large number of false alarms when judging the occurrence of leakage on site. Summary of the invention

[0008] In view of the above-mentioned deficiencies in the prior art, the present invention provides a rapid access system for dangerous gas leakage data, a system, a terminal and a medium.

[0009] According to one aspect of the present invention, a method for quickly accessing dangerous gas leakage data is provided, comprising:

[0010] Obtain leakage data from monitoring equipment agreed upon by different manufacturers on site and obtain external monitoring data;

[0011] Aggregating the external monitoring data with preset internal data to obtain leakage monitoring summary data;

[0012] Preprocessing the leakage monitoring summary data and extracting feature vectors containing different protocols;

[0013] The feature vectors are integrated and decisions are made according to different user application requirements;

[0014] The leakage monitoring summary data is converted into a protocol according to the decision, and the data after the protocol conversion is sent to the corresponding application server to complete the rapid access of the hazardous gas leakage data.

[0015] Preferably, the aggregating the external monitoring data and the preset internal data includes:

[0016] The preset internal data includes: equipment number and leakage medium component parameter data and medium status data corresponding to the equipment number;

[0017] Automatically assign IP addresses to protocol monitoring devices from different manufacturers connected on-site according to the order in which they are connected first;

[0018] The external monitoring data corresponding to the IP is bound to the device bit number of the internal data one by one, so as to realize the aggregation of the external monitoring data and the internal data.

[0019] Preferably, the preprocessing of the leakage monitoring summary data includes:

[0020] Cleaning the leakage monitoring summary data, and pre-eliminating data that does not conform to mathematical statistics and / or repeated leakage monitoring data;

[0021] The eliminated data are standardized according to the leakage communication data format, and the data from different types of leakage monitoring data sources are combined and stored uniformly.

[0022] Preferably, the fusing the feature vectors comprises:

[0023] The feature vectors are fused by using a weighted fusion method, that is, each leaked feature vector is multiplied by a different weight, and then the obtained results are added through multiple convolutional layers or fully connected layers to obtain a fused feature vector;

[0024] in:

[0025] The weight is obtained by the proportion of historical leakage events.

[0026] Preferably, it also includes any one or more of the following:

[0027] -Perform data calibration on the data after protocol conversion;

[0028] -Automatically download the firmware upgrade package to upgrade the firmware used to achieve the function of quickly accessing hazardous gas leakage data;

[0029] -The leakage monitoring summary data is connected to the toxic and combustible gas alarm and the on-site air quality monitoring equipment respectively.

[0030] Preferably, the data calibration of the data after the protocol conversion includes:

[0031] Sampling the received protocol-converted data multiple times to obtain sampled leakage data;

[0032] Compare the leakage data after sampling to determine whether they are consistent:

[0033] If not, then end;

[0034] If they are consistent, compare the leakage monitoring data obtained by the third-party equipment on site to determine whether the leakage monitoring data on site is abnormal:

[0035] If it is not abnormal, then end;

[0036] If abnormal, it is determined that dangerous gas is leaking.

[0037] According to another aspect of the present invention, a system for quickly accessing dangerous gas leakage data is provided, comprising:

[0038] Hot-swappable interface module, which is used to connect with monitoring equipment of different manufacturers' protocols on site;

[0039] A sensor acquisition unit, which is used to connect to the hot-swappable interface module, collect leakage data of monitoring devices with different manufacturers' protocols on site, obtain external monitoring data, and send it to the dual processor unit;

[0040] A dual processor unit, comprising: a main processor module, a standby processor module and an application interface module; wherein each processor module comprises an edge computing unit, and the edge computing unit comprises:

[0041] The leakage data aggregation unit is used to aggregate the external monitoring data and the preset internal data to obtain leakage monitoring summary data, and send it to the data preprocessing unit;

[0042] A data preprocessing unit, used for preprocessing the leakage monitoring summary data and sending it to the data feature extraction unit;

[0043] A data feature extraction unit, used to extract feature vectors of different protocols contained in the preprocessed data and send them to the decision fusion unit;

[0044] The decision fusion unit is used to fuse feature vectors, perform classification, discrimination and logical operations, and make decisions based on different user application requirements;

[0045] The protocol fusion unit is used to perform protocol conversion on the leakage monitoring summary data obtained by the leakage data aggregation module according to the decisions corresponding to different user application requirements obtained by the decision fusion module, and send it to the application interface module;

[0046] The application interface module is used to send the data after protocol conversion to the corresponding application server.

[0047] Preferably, it also includes any one or more of the following:

[0048] - False alarm calibration unit, used to perform data calibration on the data after protocol conversion;

[0049] -Remote firmware update unit, used to automatically download firmware upgrade packages and upgrade system firmware used to achieve rapid access to hazardous gas leakage data;

[0050] - Storage unit for data storage;

[0051] - Leakage control unit, used to connect with the field equipment and control the operation of the field equipment when a dangerous gas leak is determined;

[0052] -The leakage data aggregation unit is also connected to the toxic and combustible gas alarm and the on-site air quality monitoring equipment respectively.

[0053] According to a third aspect of the present invention, there is provided a computer terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, can be used to execute any one of the methods described above in the present invention, or to run any one of the systems described above in the present invention.

[0054] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can be used to execute any of the methods described above in the present invention, or to run any of the systems described above in the present invention.

[0055] Due to the adoption of the above technical solution, compared with the prior art, the present invention has at least one of the following beneficial effects:

[0056] The method, system, terminal and medium for quickly accessing dangerous gas leakage data provided by the present invention can realize multi-interface access in the data acquisition part, and have rich expansion interfaces such as: LAN, COM, Mini PCIe interface, relay IO interface, etc.

[0057] The present invention provides a method, system, terminal and medium for quickly accessing hazardous gas leakage data. The leakage control unit realizes industrial AI machine vision through the integrated miniPCIe and M.2 expansion AI acceleration card, is equipped with a 4G / 5G communication module, can meet the needs of 5G+ edge computing, and has internal software for monitoring data collection for equipment management and remote control.

[0058] The present invention provides a method, system, terminal and medium for quickly accessing dangerous gas leakage data, and an operating system contained in a leakage control unit is integrated with the Internet of Things management; the Internet of Things management integration provides an integrated package for third-party embedded industrial Internet of Things devices, which can simultaneously monitor the status of intelligent leakage monitoring hardware from different manufacturers, different protocol interface software and other peripheral devices; the wireless (OTA) function in the leakage control unit can ensure remote BIOS updates and provide a backup and recovery mechanism, which helps to avoid additional maintenance costs caused by system failures of unexpected devices.

[0059] The present invention provides a method, system, terminal and medium for quickly accessing dangerous gas leakage data. When a single monitoring device issues an on-site alarm, the sensor acquisition unit of the dangerous gas leakage data quick access system will automatically query the leakage status or process parameter data of other connected monitoring devices on site, thereby effectively reducing measurement errors or false alarms caused by a single device on site. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0061] Figure 1 The present invention is a flowchart of a method for quickly accessing dangerous gas leakage data in a preferred embodiment of the present invention.

[0062] Figure 2It is a schematic block diagram of the overall structure of a system for rapid access to hazardous gas leakage data in a preferred embodiment of the present invention.

[0063] Figure 3 The figure is a schematic diagram of the components of an edge computing unit in a preferred embodiment of the present invention.

[0064] Figure 4 This is a workflow diagram of false alarm calibration in a preferred embodiment of the present invention.

[0065] Figure 5 This is a flowchart of the firmware upgrade process in a preferred embodiment of the present invention.

[0066] Figure 6 It is a schematic diagram of the field application of the hazardous gas leakage data rapid access system in a preferred embodiment of the present invention.

[0067] In the figure, 1 is the dangerous gas leakage data quick access system, 2 is the toxic and flammable gas alarm, and 3 is the on-site air quality monitoring equipment. DETAILED DESCRIPTION

[0068] The following is a detailed description of the embodiments of the present invention: This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given. It should be pointed out that for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention.

[0069] An embodiment of the present invention provides a method for quickly accessing dangerous gas leakage data, such as Figure 1 As shown, it may include:

[0070] S1, obtain leakage data of monitoring equipment agreed by different manufacturers on site to obtain external monitoring data;

[0071] S2, summarizing the external monitoring data and the preset internal data to obtain leakage monitoring summary data;

[0072] S3, preprocessing the leakage monitoring summary data and extracting feature vectors containing different protocols;

[0073] S4, fuses the feature vectors and makes decisions based on different user application requirements;

[0074] S5, according to the decision, the leakage monitoring summary data is converted into a protocol, and the data after the protocol conversion is sent to the corresponding application server to complete the rapid access of the hazardous gas leakage data.

[0075] In a preferred embodiment of S2, the external monitoring data and the preset internal data are aggregated, which may include:

[0076] S21, preset internal data, including: equipment number and leakage medium component parameter data and medium status data corresponding to the equipment number;

[0077] S22, automatically assign IP addresses to protocol monitoring devices of different manufacturers connected on site according to the order of access priority;

[0078] S23, binding the external monitoring data and the internal data device bit numbers corresponding to the IPs one by one, thereby realizing aggregation of the external monitoring data and the internal data.

[0079] In a preferred embodiment of S3, preprocessing the leakage monitoring summary data may include:

[0080] S31, cleaning the leakage monitoring summary data, and pre-eliminating the data that does not conform to mathematical statistics and / or the data of repeated leakage monitoring;

[0081] S32, standardizing the eliminated data according to the leakage communication data format, combining the data from different types of leakage monitoring data sources and storing them uniformly.

[0082] In a preferred embodiment of S4, fusing the feature vectors may include:

[0083] S41, using a weighted fusion method to fuse the feature vectors, that is, multiplying each leaked feature vector by a different weight, and then adding the obtained results through multiple convolutional layers or fully connected layers to obtain a fused feature vector;

[0084] in:

[0085] The weight is obtained by the proportion of historical leakage events.

[0086] In a preferred embodiment of the present invention, any one or more of the following are also included:

[0087] -Perform data calibration on the data after protocol conversion;

[0088] -Automatically download the firmware upgrade package to upgrade the firmware used to realize the quick access function of hazardous gas leakage data; the firmware used to realize the quick access function of hazardous gas leakage data may include: data acquisition firmware, data processing firmware, data transmission firmware, system control firmware, fault detection and recovery firmware, etc. These firmwares may exist in the hardware device in the form of embedded code.

[0089] -The leakage monitoring summary data is connected to the toxic and combustible gas alarm and on-site air quality monitoring equipment respectively.

[0090] Furthermore, in a preferred embodiment, performing data calibration on the data after protocol conversion may include:

[0091] Sampling the received protocol-converted data multiple times to obtain sampled leakage data;

[0092] Compare the leakage data after sampling to determine whether they are consistent:

[0093] If not, then end;

[0094] If they are consistent, compare the leakage monitoring data obtained by the third-party equipment on site to determine whether the leakage monitoring data on site is abnormal:

[0095] If it is not abnormal, then end;

[0096] If abnormal, it is determined that dangerous gas is leaking.

[0097] An embodiment of the present invention provides a system for quickly accessing dangerous gas leakage data. Figure 2 and Figure 3 As shown, it may include:

[0098] Hot-swappable interface module, which is used to connect with monitoring equipment of different manufacturers' protocols on site;

[0099] A sensor acquisition unit, which is used to connect to the hot-swappable interface module, collect leakage data of monitoring devices with different manufacturers' protocols on site, obtain external monitoring data, and send it to the dual processor unit;

[0100] A dual processor unit includes: a main processor module, a standby processor module and an application interface module; wherein each processor module includes an edge computing unit, and the edge computing unit includes:

[0101] The leakage data aggregation unit is used to aggregate the external monitoring data and the preset internal data to obtain leakage monitoring summary data, and send it to the data preprocessing unit;

[0102] A data preprocessing unit, used for preprocessing the leakage monitoring summary data and sending it to the data feature extraction unit;

[0103] A data feature extraction unit, used to extract feature vectors of different protocols contained in the preprocessed data and send them to the decision fusion unit;

[0104] The decision fusion unit is used to fuse feature vectors, perform classification, discrimination and logical operations, and make decisions based on different user application requirements;

[0105] The protocol fusion unit is used to perform protocol conversion on the leakage monitoring summary data obtained by the leakage data aggregation module according to the decisions corresponding to different user application requirements obtained by the decision fusion module, and send it to the application interface module;

[0106] The application interface module is used to send the data after protocol conversion to the corresponding application server.

[0107] In a preferred embodiment, any one or more of the following are also included:

[0108] - False alarm calibration unit, used to perform data calibration on the data after protocol conversion;

[0109] -Remote firmware update unit, used to automatically download firmware upgrade packages and upgrade system firmware used to achieve rapid access to hazardous gas leakage data;

[0110] - Storage unit for data storage;

[0111] - Leakage control unit, used to connect with the field equipment and control the operation of the field equipment when a dangerous gas leak is determined;

[0112] -The leakage data aggregation unit is also connected to the toxic and combustible gas alarm and the on-site air quality monitoring equipment.

[0113] It should be noted that the steps in the method provided by the present invention can be implemented by using corresponding modules, devices, units, etc. in the system. Those skilled in the art can refer to the technical solution of the method to realize the composition of the system, that is, the embodiments in the method can be understood as preferred examples for constructing the system, which will not be elaborated here.

[0114] The method and system provided by the above-mentioned embodiments of the present invention can realize the rapid acquisition of leakage monitoring data of various forms of interfaces through a single device through the interfaces of different types of monitoring product hardware in the hot-swappable interface module; realize automatic adaptation of protocols of different monitoring instruments through mutual integration with monitoring devices of different protocols and automatic conversion of built-in protocols, thereby solving the problem of a large number of information islands in traditional monitoring equipment; confirm whether a leakage accident has occurred through mutual calibration of leakage status by different devices on site, thereby reducing measurement errors and false alarm rates caused by a single instrument.

[0115] The technical solution provided by the above embodiment of the present invention is further described in detail below in conjunction with the accompanying drawings.

[0116] The existing interface access technology usually only has one or two or three existing interfaces, such as RS485, 4-20MA, etc., and external interface converter hardware devices are required to connect other third-party devices. In response to this technical problem, the embodiment of the present invention provides a rapid access technology for hazardous gas leakage data. The technology is based on a multi-interface rapid access and the use of different manufacturers' protocols. The electrical principle logic block diagram is as follows: Figure 2 As shown. Among them:

[0117] Hot-swappable interface module: Based on the particularity of petroleum refining enterprises and industries and the need for different gas leakage monitoring, the device adopts a hot-swappable interface design, which can meet the access of standardized equipment such as GPIO, RS485, 4~20MA, RJ45, PCIe, MINI-PCIe, etc. For example, RS485 and 4~20MA interfaces can meet the seamless access of on-site toxic and flammable gas monitoring equipment, and the RJ45 interface can meet the seamless access of on-site thermal imaging and visible light equipment. The MINI-PCIe interface can seamlessly access the 4 / 5G module for fast data upload and the seamless access of low-power wireless narrowband modules. Figure 2 The electrical interface block diagram shown is Figure 4 The hardware interface input and data connection of the functional module shown, Figure 3 The functional modules shown are for deep processing and handling of the data after receiving the on-site monitoring data.

[0118] The dual processor unit includes a main processor (MCU) module, an auxiliary processor (MCU) module and an application interface module. The above embodiment of the present invention adopts a dual MCU design. Under normal circumstances, the main MCU is working, for example: collecting data on site, timely integrating data of multiple communication methods and different protocols, storing information and publishing leaked information, controlling the upload of information, etc. The auxiliary MCU (i.e., the backup MCU) is waiting for work. When the main MCU has a problem or a failure, it automatically switches to the auxiliary MCU to work, effectively facing the harsh industrial environment of oil refining enterprises and improving the average failure-free time of the product. The auxiliary MCU is waiting for work during normal time. When the main MCU has a problem or a failure, it automatically switches to the auxiliary MCU to work, while ensuring the operation of the equipment, it also effectively reduces the overall energy consumption of the product. The application interface module is used to send the data after protocol conversion to the application server.

[0119] Storage unit: The storage unit is mainly responsible for storing the data in the field monitoring data into the storage unit cache pool, storing the results of edge computing, and temporarily storing the system OTA information and data. This is convenient for OTA, as unstable network may cause the downloaded upgrade package to be damaged or lack the fallback version or restore the original settings.

[0120] The false alarm calibration unit is used to perform data calibration on the data after the protocol conversion.

[0121] The remote firmware update unit is used to automatically download the firmware upgrade package and upgrade the system firmware used to realize the rapid access function of hazardous gas leakage data.

[0122] The leakage control unit is used to connect with the on-site equipment and control the operation of the on-site equipment when a dangerous gas leak is determined. Once a leak occurs on-site, the leakage control unit can directly close the valve or switch the on-site equipment to bypass operation through controllers such as relays, solenoid valves, and PLCs, effectively ensuring the safety of on-site equipment and personnel.

[0123] Each processor module includes: an edge computing unit, which adopts a fast embedded design and is equipped with an AI acceleration card. It is designed for edge computing and is used in industrial control and leakage detection, intelligent inspections, employee behavior analysis and other applications. Through high-concurrency access to various types of sensing devices, it meets customers' needs for on-site practicality and facilitates rapid judgment of whether a leakage incident has occurred on site.

[0124] like Figure 3 As shown, the edge computing unit provided by the above embodiment of the present invention realizes rapid protocol conversion through protocol fusion, thereby realizing rapid access to hazardous gas leakage data. It may include:

[0125] A leakage data aggregation unit, which is used to aggregate external monitoring data and internal leakage medium component parameter data, medium status data, equipment bit number and other data to obtain aggregated data and send it to the data preprocessing unit;

[0126] A data preprocessing unit, which is used to preprocess the aggregated data and send it to the data feature extraction unit;

[0127] A data feature extraction unit, which is used to extract feature vectors of different protocols contained in the preprocessed data and send them to the decision fusion unit;

[0128] Decision fusion unit, which is used to fuse feature vectors, perform classification, discrimination and logical operations, and make decisions based on different user application requirements;

[0129] A protocol fusion unit, which is used to perform protocol conversion on the leakage monitoring summary data extracted by the leakage data aggregation unit, and send it to the application interface unit;

[0130] In some embodiments of the present invention:

[0131] The leakage data aggregation unit summarizes the external monitoring data and internal data, including the following operations: the on-site access instruments are automatically assigned IPs according to the order of access. After the IP is successfully assigned, the leakage monitoring data can be quickly bound to the internal leakage medium component parameter data, medium status data, bit number and other data.

[0132] The data preprocessing unit preprocesses the aggregated data, including the following operations: cleaning the leakage data, pre-eliminating the data that does not conform to the mathematical and statistical laws and the removal of repeated leakage monitoring data, standardizing the leakage communication data format, and combining the data from different types of leakage monitoring data sources and storing them in a unified manner.

[0133] The data feature extraction unit extracts the feature vectors of different protocols contained in the preprocessed data, including the following operations: such as reflecting the properties of the leakage characteristic physical quantities such as pressure, temperature, and frequency of the on-site leakage monitoring equipment. The obtained feature vector is used to reflect the properties of the characteristic physical quantities of the leakage monitoring equipment.

[0134] The decision fusion unit fuses the feature vectors, specifically including the following operations: weighted fusion of the fused leakage feature vectors, that is, each leakage feature vector is multiplied by different weights and then added together; the weight is obtained by the proportion of historical leakage events, so that the fused feature vector has better performance on specific tasks. In addition, the leakage feature vector fusion is also achieved by connecting multiple convolutional layers or fully connected layers together, each connection layer produces a new leakage feature vector, and then these feature vectors are connected together to form a higher-level feature representation.

[0135] Make decisions based on different user application requirements, including the following operations: set different alarm thresholds, different leakage warning routes, and which devices to run real-time monitoring on according to the actual needs and application scenarios of different users; formulate appropriate security policies, such as data encryption, access control, identity authentication, etc.

[0136] The protocol fusion unit performs protocol conversion on the summary data extracted by the leakage data aggregation unit, which specifically includes the following operations: the protocol conversion is performed on the leakage monitoring summary data extracted by the leakage data aggregation unit, which specifically includes the following operations: the protocol data packet is first unpacked, the data therein is first extracted, and then it is re-encapsulated according to the target protocol rules to form a data packet of the target protocol, thereby realizing the conversion of data between different leakage monitoring protocols.

[0137] like Figure 4 As shown, the false alarm calibration unit performs data calibration on the data after the protocol conversion, including:

[0138] Sampling the received protocol-converted data multiple times to obtain sampled leakage data;

[0139] Compare the leakage data after sampling to determine whether they are consistent:

[0140] If not, then end;

[0141] If they are consistent, the data is compared with the sensor acquisition unit and the leakage monitoring data (such as concentration, flow, pressure, vibration, etc.) of the on-site third-party equipment to determine whether the on-site data is abnormal:

[0142] If it is not abnormal, then end;

[0143] If abnormal, the leakage alarm will be activated.

[0144] like Figure 5 As shown, the firmware unit is remotely updated, the firmware upgrade package is automatically downloaded, and the firmware of the hazardous gas leakage data rapid access system is upgraded. Specifically, the following operations are included: The firmware unit is remotely updated, the firmware upgrade package is automatically downloaded, and the firmware of the hazardous gas leakage data rapid access system is upgraded. Specifically, the following operations are included: First, the new software upgrade package is uploaded to the file server to verify whether an upgrade is required. The integrity and correctness of the expected upgrade package, the device downloads the firmware upgrade package from the file server, and verifies whether the device firmware is successfully upgraded and runs the new software.

[0145] like Figure 6 As shown, the dangerous gas leakage data rapid access system is connected to the toxic and combustible gas alarm and the on-site air quality monitoring equipment through explosion-proof flexible pipes.

[0146] The sensor acquisition unit can realize multi-interface access and has rich expansion interfaces such as: LAN, COM, MiniPCIe interface, relay IO interface (such as Figure 2 shown) etc.

[0147] The leakage control unit integrates miniPCIe and M.2 expansion AI acceleration cards to realize industrial AI machine vision. By being equipped with a 4G / 5G communication unit, it can meet the needs of 5G+ edge computing. It has software for monitoring data collection for equipment management and remote control.

[0148] The operating system and IoT management integration included in the leakage control unit. IoT management integration provides an integrated package for third-party embedded industrial IoT devices, which can simultaneously monitor the status of intelligent leakage monitoring hardware from different manufacturers, different protocol interface software and other peripheral devices; the wireless (OTA) function in the leakage control unit ensures remote BIOS updates and provides a backup recovery mechanism. It helps to avoid additional maintenance costs caused by unexpected system failures of devices.

[0149] When a single monitoring device sounds an alarm on site, the hazardous gas leakage data is quickly connected to the sensor acquisition unit of the system. The device will automatically query other connected devices about the leakage status or process parameters on site, effectively reducing measurement errors or false alarms caused by a single device on site.

[0150] The technical solution provided by the above embodiment of the present invention is further described in detail below in conjunction with a specific application example.

[0151] This specific application example is used in the monitoring of dangerous gas leakage data in petroleum refining enterprises. Among them:

[0152] like Figure 3 As shown, in this specific application example, the sensor acquisition module is used to connect with monitoring equipment of different manufacturers and protocols on site to realize the collection of leakage data on site. The leakage data aggregation module is used to aggregate external monitoring data and internal data. The aggregated data is preprocessed by the data preprocessing module. The data feature extraction module extracts the feature vectors of different protocols contained in the collected leakage data to reflect the properties of the characteristic physical quantities of the monitored equipment. Through the fusion of monitoring object features, the feature-level fusion module classifies, distinguishes and performs simple logical operations on the obtained data features, and makes higher-level decisions according to different user application requirements. The protocol fusion module performs protocol conversion on the extracted and aggregated data; the application interface module is used to send the data after protocol conversion to the application server.

[0153] The dangerous gas leakage data rapid access system detects that the data of the connected on-site monitoring equipment exceeds the threshold, and immediately starts the built-in false alarm calibration module to perform data calibration. The false alarm calibration logic is as follows: Figure 4 shown.

[0154] The hazardous gas leakage data rapid access system is designed to facilitate the later maintenance and upgrade of the equipment. It has a built-in remote firmware update module. It automatically searches for the latest compatible software to determine whether an upgrade is needed without manual intervention. The firmware upgrade package is automatically sent by the cloud platform. After the device receives the correct package, it automatically completes the self-program update. Figure 5 The OTA upgrade logic shown can achieve 100% success in remote upgrades. Even if the upgrade fails, it can be overwritten by the original program to avoid downtime caused by software upgrades.

[0155] Hazardous gas leakage data rapid access system, field applications such as Figure 6As shown in the figure, the hazardous gas leakage data rapid access system 1 is connected to the toxic and combustible gas alarm 2 and the on-site air quality monitoring equipment 3 through an explosion-proof flexible pipe. The on-site leakage data is quickly accessed to the hazardous gas leakage data rapid access system to promptly determine whether a leakage accident occurs on-site.

[0156] An embodiment of the present invention provides a computer terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the processor can be used to execute any method in the above-mentioned embodiments of the present invention, or to run any system in the above-mentioned embodiments of the present invention.

[0157] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, it can be used to execute any method in the above embodiments of the present invention, or to run any system in the above embodiments of the present invention.

[0158] Optionally, the memory is used to store programs; the memory may include volatile memory (English: volatile memory), such as random-access memory (English: random-access memory, abbreviated: RAM), such as static random-access memory (English: static random-access memory, abbreviated: SRAM), double data rate synchronous dynamic random access memory (English: Double Data Rate Synchronous Dynamic Random Access Memory, abbreviated: DDR SDRAM), etc.; the memory may also include non-volatile memory (English: non-volatile memory), such as flash memory (English: flash memory). The memory is used to store computer programs (such as applications, functional modules, etc. that implement the above method), computer instructions, etc., and the above computer programs, computer instructions, etc. can be partitioned and stored in one or more memories. And the above computer programs, computer instructions, data, etc. can be called by the processor.

[0159] The above-mentioned computer programs, computer instructions, etc. may be stored in one or more memories in partitions, and the above-mentioned computer programs, computer instructions, data, etc. may be called by a processor.

[0160] The processor is used to execute the computer program stored in the memory to implement the various steps of the method or various modules of the system involved in the above embodiments. For details, please refer to the relevant descriptions in the above method and system embodiments.

[0161] The processor and the memory may be independent structures or integrated structures. When the processor and the memory are independent structures, the memory and the processor may be coupled and connected via a bus.

[0162] The method, system, terminal and medium for rapid access to hazardous gas leakage data provided by the above-mentioned embodiments of the present invention can realize rapid acquisition of leakage monitoring data of various forms of interfaces through a single device through a built-in rich and quickly replaceable interface of different types of monitoring product hardware; the protocol fusion module realizes automatic adaptation of protocols of different monitoring instruments through mutual integration with monitoring devices of different protocols and automatic conversion of built-in protocols, thereby solving the problem of a large number of information islands in traditional monitoring equipment; by connecting multiple existing leakage monitoring devices, leakage data at the same monitoring location are calibrated with each other to confirm whether a leakage accident has occurred, thereby reducing measurement errors and false alarm rates caused by a single instrument.

[0163] Those skilled in the art know that, in addition to implementing the system and its various devices provided by the present invention in a purely computer-readable program code, the system and its various devices provided by the present invention can be made to implement the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices provided by the present invention can be considered as a hardware component, and the devices for implementing various functions included therein can also be considered as structures within the hardware component; the devices for implementing various functions can also be considered as both software modules for implementing the method and structures within the hardware component.

[0164] All matters not covered in the above embodiments of the present invention are well known in the art.

[0165] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art may make various modifications or variations within the scope of the claims, which do not affect the essence of the present invention.

Claims

1. A method for quickly accessing dangerous gas leakage data, characterized in that: include: Obtain leakage data from monitoring equipment agreed upon by different manufacturers on site and obtain external monitoring data; Aggregating the external monitoring data with preset internal data to obtain leakage monitoring summary data; Preprocessing the leakage monitoring summary data and extracting feature vectors containing different protocols; The feature vectors are integrated and decisions are made according to different user application requirements; The leakage monitoring summary data is converted into a protocol according to the decision, and the data after the protocol conversion is sent to the corresponding application server to complete the rapid access of the hazardous gas leakage data.

2. The method for quickly accessing dangerous gas leakage data according to claim 1, characterized in that: The external monitoring data and the preset internal data are aggregated, including: The preset internal data includes: equipment number and leakage medium component parameter data and medium status data corresponding to the equipment number; Automatically assign IP addresses to protocol monitoring devices from different manufacturers connected on-site according to the order in which they are connected first; The external monitoring data corresponding to the IP is bound to the device bit number of the internal data one by one, so as to realize the aggregation of the external monitoring data and the internal data.

3. The method for quickly accessing dangerous gas leakage data according to claim 1, characterized in that: The preprocessing of the leakage monitoring summary data includes: Cleaning the leakage monitoring summary data, and pre-eliminating data that does not conform to mathematical statistics and / or repeated leakage monitoring data; The eliminated data are standardized according to the leakage communication data format, and the data from different types of leakage monitoring data sources are combined and stored uniformly.

4. The method for quickly accessing dangerous gas leakage data according to claim 1, characterized in that: The fusing of the feature vectors comprises: The feature vectors are fused by using a weighted fusion method, that is, each leaked feature vector is multiplied by a different weight, and then the obtained results are added through multiple convolutional layers or fully connected layers to obtain a fused feature vector; wherein: The weight is obtained by the proportion of historical leakage events.

5. The method for quickly accessing dangerous gas leakage data according to any one of claims 1 to 4, characterized in that: Also includes any one or more of the following: -Perform data calibration on the data after protocol conversion; -Automatically download the firmware upgrade package to upgrade the firmware used to achieve the function of quickly accessing hazardous gas leakage data; -The leakage monitoring summary data is connected to the toxic and combustible gas alarm and the on-site air quality monitoring equipment respectively.

6. The method for quickly accessing dangerous gas leakage data according to claim 5, characterized in that: The data calibration of the data after the protocol conversion includes: Sampling the received protocol-converted data multiple times to obtain sampled leakage data; Compare the leakage data after sampling to determine whether they are consistent: If not, then end; If they are consistent, compare the leakage monitoring data obtained by the third-party equipment on site to determine whether the leakage monitoring data on site is abnormal: If it is not abnormal, then end; If abnormal, it is determined that dangerous gas is leaking.

7. A rapid access system for dangerous gas leakage data, characterized in that: include: Hot-swappable interface module, which is used to connect with monitoring equipment of different manufacturers' protocols on site; A sensor acquisition unit, which is used to connect to the hot-swappable interface module, collect leakage data of monitoring devices with different manufacturers' protocols on site, obtain external monitoring data, and send it to the dual processor unit; A dual processor unit, comprising: a main processor module, a standby processor module and an application interface module; wherein each processor module comprises an edge computing unit, and the edge computing unit comprises: The leakage data aggregation unit is used to aggregate the external monitoring data and the preset internal data to obtain leakage monitoring summary data, and send it to the data preprocessing unit; A data preprocessing unit, used for preprocessing the leakage monitoring summary data and sending it to the data feature extraction unit; A data feature extraction unit, used to extract feature vectors of different protocols contained in the preprocessed data and send them to the decision fusion unit; The decision fusion unit is used to fuse feature vectors, perform classification, discrimination and logical operations, and make decisions based on different user application requirements; The protocol fusion unit is used to perform protocol conversion on the leakage monitoring summary data obtained by the leakage data aggregation module according to the decisions corresponding to different user application requirements obtained by the decision fusion module, and send it to the application interface module; The application interface module is used to send the data after protocol conversion to the corresponding application server.

8. The rapid access system for dangerous gas leakage data according to claim 9 is characterized in that: Also includes any one or more of the following: - False alarm calibration unit, used to perform data calibration on the data after protocol conversion; -Remote firmware update unit, used to automatically download firmware upgrade packages and upgrade system firmware used to achieve rapid access to hazardous gas leakage data; - Storage unit for data storage; - Leakage control unit, used to connect with the field equipment and control the operation of the field equipment when a dangerous gas leak is determined; -The leakage data aggregation unit is also connected to the toxic and combustible gas alarm and the on-site air quality monitoring equipment respectively.

9. A computer terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, it can be used to execute the method described in any one of claims 1 to 6, or to run the system described in any one of claims 7 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, it can be used to execute the method described in any one of claims 1 to 6, or to run the system described in any one of claims 7 to 8.

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