User gas monitoring and early warning system and method based on data monitoring

Abstract

This invention relates to the field of gas monitoring and early warning technology, specifically disclosing a user gas monitoring and early warning system and method based on data monitoring. This invention periodically monitors and controls multiple independent combustible gas detectors to determine if there are any abnormal conditions or leakage hazards; when abnormal conditions are detected, an anomaly notification is issued; when there is a leakage hazard, direct alarm control is implemented; diffusion impact analysis is performed, and multiple affected detectors are selected for impact notification; continuous monitoring data is acquired, risk trend analysis is conducted, and risk early warning control is implemented. In addition to direct alarms, diffusion impact analysis can be performed, multiple affected detectors can be selected for impact notification, and continuous monitoring and risk trend analysis can be performed, multiple risk detectors can be selected for risk early warning. Therefore, in addition to local alarms at the leak source, early warnings can be issued for potentially hazardous areas, effectively preventing secondary losses caused by leakage and diffusion.

Description

Technical Field

[0001] This invention belongs to the field of gas monitoring and early warning technology, and particularly relates to a user gas monitoring and early warning system and method based on data monitoring. Background Technology

[0002] Gas monitoring and early warning utilizes technologies such as sensor detection, data acquisition, intelligent analysis, and linkage control to continuously monitor potential gas leaks, abnormal gas concentrations, abnormal pressure fluctuations, and abnormal operation of gas facilities in residential, industrial, or urban pipeline networks. It is a comprehensive technology that automatically triggers early warning signals when the risk reaches a set threshold.

[0003] A gas monitoring and early warning system typically consists of a combustible gas concentration sensor, a pressure / flow sensor, a temperature and humidity acquisition module, a data acquisition terminal, a communication module, a cloud analysis platform, and on-site audible and visual alarms and linkage execution devices. The system assesses the safety status of the gas usage environment by real-time acquisition, dynamic comparison, and trend analysis of gas parameters at monitoring points.

[0004] In existing technologies, gas monitoring and early warning are usually limited to the local monitoring area where the stand-alone combustible gas detector is located for concentration detection and risk assessment. Although it can trigger an alarm in time when an abnormal concentration occurs at the leak source, it cannot perform diffusion impact analysis and risk warning. It can often only implement local alarms for the leak source, but cannot provide early warnings for surrounding areas that are potentially dangerous, which may still lead to secondary losses caused by the spread of the leak. Summary of the Invention

[0005] The purpose of this invention is to provide a user gas monitoring and early warning system and method based on data monitoring, in order to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions: A user gas monitoring and early warning method based on data monitoring, the method specifically includes the following steps: Periodic monitoring and control are performed on multiple independent combustible gas detectors to acquire periodic monitoring data, and the status of the periodic monitoring data is identified to determine whether there is an abnormal status or leakage hazard. When an abnormal status occurs, select multiple abnormal detectors from the multiple independent combustible gas detectors, determine the corresponding abnormal type and the contact person for the abnormality, and issue an abnormality notification. In the event of a leak hazard, select multiple hazard detectors from a variety of stand-alone combustible gas detectors for direct alarm control. Based on multiple hazard detectors, a diffusion impact analysis was conducted, multiple impact detectors were selected, and multiple impact contact persons were identified and impact notifications were sent. Continuous monitoring and control of multiple impact detectors are carried out to obtain continuous monitoring data, conduct risk trend analysis, select multiple risk detectors, and carry out risk early warning and control.

[0007] Risk warning control is performed on multiple risk detectors according to the risk warning instructions.

[0008] A user gas monitoring and early warning system based on data monitoring includes a periodic monitoring and identification unit, an anomaly notification processing unit, a direct alarm control unit, an impact notification processing unit, and a risk early warning control unit, wherein: The periodic monitoring and identification unit is used to periodically monitor and control multiple independent combustible gas detectors, acquire periodic monitoring data, and identify the status of the periodic monitoring data to determine whether there is an abnormal status or leakage hazard. An anomaly notification processing unit is used to select multiple abnormal detectors from multiple independent combustible gas detectors when there is an abnormal status, determine the corresponding anomaly type and the contact person for the anomaly, and issue an anomaly notification. The direct alarm control unit is used to select multiple hazard detectors from multiple independent combustible gas detectors for direct alarm control when there is a risk of leakage. The impact notification processing unit is used to perform diffusion impact analysis based on multiple hazard detectors, select multiple impact detectors, identify multiple impact contact persons, and issue impact notifications. The risk warning and control unit is used to continuously monitor and control multiple impact detectors, acquire continuous monitoring data, perform risk trend analysis, select multiple risk detectors, and carry out risk warning and control.

[0009] Compared with the prior art, the beneficial effects of the present invention are: This invention, through periodic monitoring and control of multiple independent combustible gas detectors, determines whether there are abnormal conditions or leakage hazards. When an abnormal condition is detected, an anomaly notification is issued; when a leakage hazard is detected, direct alarm control is implemented; diffusion impact analysis is performed, and multiple affected detectors are selected for impact notification; continuous monitoring data is acquired, risk trend analysis is conducted, and risk early warning control is implemented. In addition to direct alarms, diffusion impact analysis can be performed, multiple affected detectors can be selected for impact notification, and continuous monitoring and risk trend analysis can be performed, multiple risk detectors can be selected for risk early warning. Therefore, beyond local alarms at the leak source, early warnings can be issued for potentially hazardous areas, effectively preventing secondary losses caused by leakage and diffusion. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention.

[0011] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0012] Figure 2 An application architecture diagram of the system provided in an embodiment of the present invention is shown. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0014] Understandably, in existing technologies, gas monitoring and early warning are usually limited to concentration detection and risk assessment in the local monitoring area where the stand-alone combustible gas detector is located. Although it can trigger an alarm in time when an abnormal concentration occurs at the leak source, it cannot perform diffusion impact analysis and risk warning. It can often only implement local alarms for the leak source, but cannot provide early warnings for surrounding areas that are potentially dangerous, which may still lead to secondary losses caused by the spread of the leak.

[0015] Understandably, secondary losses include: damage to areas outside the leak source after the gas leak spreads; and damage to areas outside the leak source if a fire or explosion occurs due to the gas leak.

[0016] To address the aforementioned issues, this invention implements a method for periodically monitoring and controlling multiple independent combustible gas detectors. This involves acquiring periodic monitoring data, identifying its status, and determining whether there are any abnormal conditions or leakage hazards. When an abnormal condition is detected, multiple abnormal detectors are selected from the independent combustible gas detectors, and the corresponding abnormality type and contact personnel are identified for notification. When a leakage hazard is detected, multiple hazardous detectors are selected from the independent combustible gas detectors for direct alarm control. Based on the multiple hazardous detectors, a diffusion impact analysis is performed, multiple influencing detectors are selected, and multiple influencing contact personnel are identified for notification. Continuous monitoring and control of the multiple influencing detectors is conducted, acquiring continuous monitoring data, performing risk trend analysis, and selecting multiple risk detectors for risk warning control. This allows for diffusion impact analysis, selection of multiple influencing detectors for impact notification, and continuous monitoring and risk trend analysis, along with the selection of multiple risk detectors for risk warning. This enables early warning of potentially hazardous areas beyond the localized alarm at the leak source, effectively preventing secondary losses caused by leakage and diffusion.

[0017] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0018] Specifically, the user gas monitoring and early warning method based on data monitoring includes the following steps: Step S101: Perform periodic monitoring and control on multiple independent combustible gas detectors, acquire periodic monitoring data, and identify the status of the periodic monitoring data to determine whether there is an abnormal status or leakage hazard.

[0019] In this embodiment of the invention, a gas monitoring cycle and multiple independent combustible gas detectors are determined. Then, according to the gas monitoring cycle, the multiple independent combustible gas detectors are periodically monitored and controlled to obtain periodic monitoring data fed back by the multiple independent combustible gas detectors. Afterwards, abnormal state identification is performed on the periodic monitoring data to determine whether there is an abnormal state, and dangerous state identification is performed on the periodic monitoring data to determine whether there is a leakage hazard. Abnormal state identification is achieved by identifying the feedback source of the periodic monitoring data. When an independent combustible gas detector without data feedback is identified, it can be determined that the independent combustible gas detector is in an abnormal state. Dangerous state identification is a process of comparing the periodic monitoring data with preset safety standard data. When a value in the periodic monitoring data exceeds the value corresponding to the safety standard data, it can be determined that the detection location corresponding to the respective independent combustible gas detector has a leakage hazard.

[0020] In a preferred embodiment of the present invention, the step of periodically monitoring and controlling multiple independent combustible gas detectors, acquiring periodic monitoring data, and identifying the status of the periodic monitoring data to determine whether there is an abnormal status or leakage hazard specifically includes the following steps: The monitoring cycle involves periodically monitoring and controlling multiple independent combustible gas detectors to acquire periodic monitoring data. The periodic monitoring data is subjected to anomaly identification to determine whether there is an anomaly. The periodic monitoring data is used to identify hazardous conditions and determine whether there is a risk of leakage.

[0021] In a preferred embodiment of the present invention, the step of identifying a hazardous state from the periodic monitoring data and determining whether there is a risk of leakage specifically includes the following steps: Acquire periodic monitoring data, which includes location information, gas concentration detection values, and detection timestamps corresponding to each combustible gas detector, fed back by multiple independent combustible gas detectors during the gas monitoring cycle. Based on the location information, all stand-alone combustible gas detectors that have fed back periodic monitoring data are spatially topologically grouped to form at least one monitoring area unit. For each monitoring area unit, based on the detection timestamp, align and extract the gas concentration detection values ​​of all combustible gas detectors within the current monitoring area unit for the most recent N consecutive monitoring cycles; where N≥2; If M combustible gas detectors are identified within the current area unit, and if the gas concentration detection values ​​of each combustible gas detector show a monotonically increasing trend over the consecutive N monitoring periods, and the starting time points of the concentration increase trends of each combustible gas detector are propagated in order of their spatial location, then it is determined that there is an abnormal concentration growth pattern with spatiotemporal correlation within the area unit; wherein, M≥2, and M is less than or equal to the total number of combustible gas detectors within the unit. The gas concentration detection values ​​in the periodic monitoring data are compared one by one with the preset safety standard concentration threshold. If the gas concentration detection value of any combustible gas detector exceeds the safety standard concentration threshold, it is directly determined that there is a risk of leakage. If at least one monitoring area unit is identified to exhibit the aforementioned spatiotemporally correlated abnormal concentration growth pattern, it is also determined to be at risk of leakage.

[0022] In this embodiment of the invention, existing technologies typically determine danger based solely on whether a single combustible gas detector exceeds a fixed threshold, which is a reactive alarm. This solution introduces "spatiotemporal correlation analysis," which identifies a regular, coordinated increase in the concentration of multiple combustible gas detectors within a local area (even if individual values ​​have not yet exceeded the limit). This allows for the identification of potential hazards in the early stages of leak propagation, before the concentration reaches the alarm threshold. This significantly advances the warning time, moving from "the leak has reached a dangerous concentration" to "the leak is spreading and forming," greatly enhancing the system's predictability.

[0023] Furthermore, the embodiment fully utilizes the massive amounts of data generated by the periodic monitoring of "multiple combustible gas detectors." Through "spatial grouping" and "temporal analysis," it uncovers the correlation features (i.e., the spatiotemporal paths of diffusion) hidden in the multi-source data, transforming the judgment basis from single-point data to networked and patterned data features, making the judgment logic more intelligent and robust. Furthermore, the user gas monitoring and early warning method based on data monitoring also includes the following steps: Step S102: When there is an abnormal status, select multiple abnormal detectors from the multiple independent combustible gas detectors, determine the corresponding abnormal type and the abnormal contact person, and issue an abnormal notification.

[0024] In this embodiment of the invention, when an abnormal state is determined, multiple abnormal detectors that are in an abnormal state are selected from multiple independent combustible gas detectors, and the abnormal types and contact persons corresponding to the multiple abnormal detectors are determined. Then, multiple corresponding abnormal notification messages are generated according to the multiple abnormal types, and then the multiple abnormal notification messages are sent to the corresponding contact persons to realize the abnormal notification to the contact persons. Specifically, the multiple abnormal types include offline, unregistered, and faulty.

[0025] In a preferred embodiment of the present invention, the step of selecting multiple abnormal detectors from a plurality of independent combustible gas detectors when an abnormality occurs, determining the corresponding abnormality type and the contact person for abnormality, and issuing an abnormality notification specifically includes the following steps: When an abnormal state occurs, multiple abnormal detectors are selected from the multiple independent combustible gas detectors. Determine the anomaly type and contact person corresponding to multiple anomaly detectors, wherein the anomaly type includes offline, unregistered, and faulty; Generate corresponding exception notification information according to the multiple exception types described; Multiple abnormal notification messages are sent to the corresponding abnormal contact persons to notify them of the abnormality.

[0026] Furthermore, the user gas monitoring and early warning method based on data monitoring also includes the following steps: Step S103: When there is a risk of leakage, select multiple hazard detectors from multiple independent combustible gas detectors for direct alarm control.

[0027] In this embodiment of the invention, when a leakage hazard is determined, multiple hazardous detectors in a hazardous situation are selected from multiple independent combustible gas detectors, and corresponding hazardous monitoring data is extracted from periodic monitoring data. The hazardous monitoring data is then analyzed to determine the hazard level of the multiple hazardous detectors. Corresponding level alarm instructions are then generated according to the multiple hazard levels, and direct alarm control of the corresponding hazardous detectors is performed according to the multiple level alarm instructions.

[0028] In a preferred embodiment of the present invention, the step of selecting multiple hazard detectors from multiple independent combustible gas detectors for direct alarm control when there is a risk of leakage specifically includes the following steps: In the event of a leak hazard, select multiple hazard detectors from a pool of stand-alone combustible gas detectors; The periodic monitoring data is analyzed to determine the hazard level of multiple hazard detectors; Generate corresponding alarm commands based on the multiple described hazard levels; According to the multiple alarm commands of the aforementioned levels, direct alarm control is performed on multiple corresponding hazard detectors at the corresponding hazard levels.

[0029] In a preferred embodiment of the present invention, the step of analyzing the periodic monitoring data to determine the hazard level of the multiple hazard detectors specifically includes the following steps: Extract the gas concentration detection values ​​that correspond one-to-one with the hazard detectors from the periodic monitoring data; A preset safety standard concentration threshold is established, and the gas concentration detection value is compared with the safety standard concentration threshold to calculate the baseline concentration ratio. Based on the detection timestamp, the time taken for the concentration of the hazard detector to rise from the first time it exceeded the safety standard concentration threshold to the current value is calculated to obtain the time difference; a time decay coefficient is set according to the gas type and diffusion characteristics, and the concentration rise rate is calculated based on the size of the time difference and the time decay coefficient. Based on the hazard detection locations of all hazard detectors, calculate the average distance between the current hazard detector and other hazard detectors; preset the maximum effective correlation distance, and calculate the spatial clustering index of the leak point based on the maximum effective correlation distance and the average distance between the current detector and other hazard detectors; A comprehensive evaluation index is obtained by weighting the base concentration ratio, the rate of concentration increase, and the spatial clustering index of the leakage point. By setting multiple hazard level thresholds and comparing the comprehensive evaluation index with the multiple hazard level thresholds, the hazard level corresponding to the current hazard detector can be determined.

[0030] In this invention, existing technologies typically determine "danger" or "safety" based solely on whether the instantaneous concentration exceeds a single fixed threshold. This solution creatively constructs a multi-factor-related hazard assessment index, comprehensively considering the baseline concentration ratio, the rate of concentration increase, and the spatial clustering of leak points. This multi-dimensional, dynamic assessment model can more accurately reflect the true risk level of a leak event. For example, a location with a slightly lower concentration but a rapid increase and surrounding leak points may be assessed as having a higher hazard level than a slightly higher concentration but stable, isolated leak point, thus enabling more scientific alarm decisions.

[0031] The concentration rise rate and spatial clustering calculations of this invention essentially quantify the early diffusion trend (multi-point clustering, rapid rise) of a leak event. This cleverly integrates some of the logical premises of "subsequent diffusion impact analysis" into the "hazard level" determination, making "direct alarm" not just an isolated action, but a crucial intelligent link in the entire diffusion early warning chain. The alarm level itself implicitly contains a preliminary judgment of the diffusion probability.

[0032] Furthermore, the user gas monitoring and early warning method based on data monitoring also includes the following steps: Step S104: Based on the multiple hazard detectors, perform diffusion impact analysis, select multiple impact detectors, identify multiple impact contact persons, and issue impact notifications.

[0033] In this embodiment of the invention, by acquiring the hazard detection locations of multiple hazard detectors and obtaining meteorological data at the locations of the multiple hazard detectors, and by combining the multiple hazard detection locations and the corresponding meteorological data, a diffusion impact analysis is performed to determine multiple diffusion impact locations. Then, based on the multiple diffusion impact locations, multiple impact detectors are selected from multiple independent combustible gas detectors. Subsequently, the impact contact persons corresponding to the multiple impact detectors are determined, and multiple corresponding impact notification messages are generated based on the multiple hazard detection locations. These multiple impact notification messages are then sent to the corresponding impact contact persons, thereby enabling the notification of impact to multiple impact contact persons in the event of a potential leak and diffusion.

[0034] In a preferred embodiment of the present invention, the step of performing diffusion impact analysis based on multiple hazard detectors, selecting multiple impact detectors, identifying multiple impact contact persons, and notifying them of the impact specifically includes the following steps: Obtain the hazard detection locations of multiple hazard detectors; Based on multiple hazard detection locations, a diffusion impact analysis was conducted to determine multiple locations where diffusion impact occurred. Based on the multiple diffusion influence locations, multiple influencing detectors are selected from the multiple independent combustible gas detectors; Identify the contact persons associated with multiple of the aforementioned impact detectors; Based on the multiple hazard detection locations, multiple corresponding impact notification messages are generated; Multiple impact notification messages are sent to the corresponding impact contact persons to notify them of the impact.

[0035] In a preferred embodiment of the present invention, the step of performing diffusion impact analysis based on multiple hazard detection locations to determine multiple diffusion impact locations specifically includes the following steps: Based on multiple hazard detection locations, the corresponding gas concentration detection values ​​are normalized into relative hazard intensity weights; The location corresponding to the highest relative hazard intensity weight is taken as the main hazard source. The wind direction at the current location is analyzed, and the overall dominant diffusion direction is calculated by combining the building layout and ventilation corridor information of the preset area around the main hazard source. Based on the Gaussian plume diffusion model, with the main hazard source as the origin, a main axis influence zone is set in the overall dominant diffusion direction, and a dynamic influence range prediction model is constructed. The surrounding geographical areas corresponding to multiple hazard detection locations are divided into grids, and the impact range prediction model is used to calculate the corresponding probability value of each grid. A preset impact probability threshold is set, and the impact probability value of all grids is compared with the impact probability threshold. If the impact probability value is greater than or equal to the impact probability threshold, the center point coordinates of the corresponding grid are marked to obtain the potential diffusion impact location.

[0036] In this embodiment of the invention, existing technologies or simple approaches may simply draw a circle of fixed radius centered on the hazard source as the affected area. This solution creatively introduces a dynamic diffusion simulation process. Its core lies in combining real-time meteorological data (wind), hazard source intensity, and environmental structure information to quantitatively predict the diffusion path and range of gas cloud clusters within a short period of time based on a simplified physical mechanism. This makes the determination of the "affected area" no longer static and arbitrary, but dynamic, directional, and quantifiable, greatly improving the scientific rigor and accuracy of early warning.

[0037] Furthermore, this embodiment integrates monitoring data, environmental data, and building layout, and through the "dominant diffusion direction determination" step, enables the model to understand environmental constraints (such as wall obstruction) and avoid making predictions that violate common sense physics. Through "hazard source intensity weighting" and "multi-source superposition effect," the model can distinguish between primary and secondary leakage points, more realistically reflecting complex leakage scenarios.

[0038] Furthermore, the user gas monitoring and early warning method based on data monitoring also includes the following steps: Step S105: Continuously monitor and control multiple impact detectors, obtain continuous monitoring data, conduct risk trend analysis, select multiple risk detectors, and conduct risk early warning control.

[0039] In this embodiment of the invention, by continuously monitoring and controlling the impact detectors, continuous monitoring data is obtained, and then risk trend analysis is performed on the continuous monitoring data to determine whether there is a diffusion risk. If one or more impact detectors detect an upward trend in the gas concentration, it is determined that there is a diffusion risk. At this time, multiple risk detectors are selected from multiple impact detectors, and a risk warning instruction is generated. Then, risk warning control is performed on multiple risk detectors according to the risk warning instruction.

[0040] In a preferred embodiment of the present invention, the step of continuously monitoring and controlling multiple impact detectors, acquiring continuous monitoring data, performing risk trend analysis, selecting multiple risk detectors, and performing risk early warning control specifically includes the following steps: The detector is continuously monitored and controlled to acquire continuous monitoring data; Perform risk trend analysis on the continuous monitoring data to determine whether there is a risk of spread; When there is a risk of spread, multiple risk detectors are selected from the multiple impact detectors; Generate risk warning instructions; Risk warning control is performed on multiple risk detectors according to the risk warning instructions.

[0041] In a preferred embodiment of the present invention, the step of continuously monitoring and controlling multiple impact detectors, acquiring continuous monitoring data, performing risk trend analysis, selecting multiple risk detectors, and performing risk early warning control specifically includes the following steps: Extract gas concentration detection value sequences from continuous monitoring data and obtain environmental parameters of the current monitoring area in real time; Based on the gas concentration detection value sequence of each gas affecting the detector, the concentration change affecting the detector within the adjacent time window is calculated using linear regression or moving average difference method, and the concentration change rate affecting the detector is obtained. For each affected detector, the current gas concentration detection value and concentration change rate of the affected detector are obtained, and a consistency comparison analysis is performed by combining the corresponding affected probability value and the time difference between the generation time of the affected probability and the current time, so as to construct a prediction conformity factor to characterize the degree of matching between the actual diffusion situation and the prediction model. Spatial correlation analysis is performed on the concentration change rate of all detectors and the environmental parameters of the current monitoring area to identify whether there are detectors that are spatially continuous or along a specific direction (especially the current wind direction) and obtain a spatial correlation situation score. Based on the concentration change rate affecting the detector, the prediction accuracy factor, and the spatial correlation situation score, the comprehensive risk trend index of each detector is calculated. A preset individual risk threshold is set, and the comprehensive risk trend index of each influencing detector is compared with the individual risk threshold. Influencing detectors that exceed the individual risk threshold are marked as individuals with risk manifestation. A preset group risk threshold is set, and the number of individuals exhibiting risk is counted. The number of individuals exhibiting risk is compared with the group risk threshold. If the number of individuals exhibiting risk is greater than the group risk threshold, it is determined that there is a risk of spread, and risk warning and control are carried out based on the judgment result.

[0042] In this embodiment of the invention, the simple judgment based solely on "whether the concentration has increased" is abandoned. This solution proposes a multi-dimensional, prediction-verification-based dynamic trend analysis model. It not only considers concentration changes (R_change), but more importantly, introduces two dimensions: "consistency with previous predictions (F_match)" and "spatial correlation pattern (S_pattern)". This enables the system to distinguish between "isolated concentration fluctuations" and "spatially correlated concentration increases that conform to the diffusion expectation model," thereby intelligently identifying the true diffusion process and greatly improving the accuracy and intelligence of the judgment.

[0043] Furthermore, by calculating the predictive compliance factor, the system achieves dynamic verification and feedback of its previous predictions. This not only provides a more scientific reference system for trend analysis, but also creates a complete intelligent decision-making loop for the entire early warning process, from "predicting potential impacts" to "verifying the occurrence of diffusion" and then to "initiating precise early warnings," enhancing the system's adaptability in different scenarios.

[0044] By setting dual judgment criteria of "individual risk threshold" and "group risk threshold," a certain number of risk points are required before a spread risk is confirmed. This "group decision-making" logic effectively filters out misjudgments caused by false alarms from a single detector, brief interference, or minor local leaks, making the system more sensitive and reliable to real spread events with an expanding trend.

[0045] Furthermore, Figure 2 An application architecture diagram of the system provided in an embodiment of the present invention is shown.

[0046] In another preferred embodiment of the present invention, a user gas monitoring and early warning system based on data monitoring includes a periodic monitoring and identification unit 101, an anomaly notification processing unit 102, a direct alarm control unit 103, an impact notification processing unit 104, and a risk early warning control unit 105, wherein: The periodic monitoring and identification unit is used to periodically monitor and control multiple independent combustible gas detectors, acquire periodic monitoring data, and identify the status of the periodic monitoring data to determine whether there is an abnormal status or leakage hazard. An anomaly notification processing unit is used to select multiple abnormal detectors from multiple independent combustible gas detectors when there is an abnormal status, determine the corresponding anomaly type and the contact person for the anomaly, and issue an anomaly notification. The direct alarm control unit is used to select multiple hazard detectors from multiple independent combustible gas detectors for direct alarm control when there is a risk of leakage. The impact notification processing unit is used to perform diffusion impact analysis based on multiple hazard detectors, select multiple impact detectors, identify multiple impact contact persons, and issue impact notifications. The risk warning and control unit is used to continuously monitor and control multiple impact detectors, acquire continuous monitoring data, perform risk trend analysis, select multiple risk detectors, and carry out risk warning and control.

[0047] In this embodiment of the invention, when an abnormal state is determined, the abnormal notification processing unit 102 selects multiple abnormal detectors that are in an abnormal state from multiple independent combustible gas detectors, determines the abnormal type and contact person corresponding to the multiple abnormal detectors, and then generates multiple corresponding abnormal notification messages according to the multiple abnormal types. After that, the multiple abnormal notification messages are sent to the corresponding contact persons to realize the abnormal notification to the contact persons. Specifically, the multiple abnormal types include offline, unregistered, and fault.

[0048] The direct alarm control unit 103 is used to select multiple hazard detectors from multiple independent combustible gas detectors for direct alarm control when there is a risk of leakage.

[0049] In this embodiment of the invention, when a leakage hazard is determined, the direct alarm control unit 103 selects multiple hazardous detectors that are in a leakage hazard situation from multiple independent combustible gas detectors, extracts the corresponding hazard monitoring data from the periodic monitoring data, analyzes the degree of hazard of the hazard monitoring data, determines the hazard level of multiple hazardous detectors, generates corresponding level alarm instructions according to the multiple hazard levels, and then performs direct alarm control on the multiple corresponding hazardous detectors according to the multiple level alarm instructions.

[0050] The impact notification processing unit 104 is used to perform diffusion impact analysis based on the multiple hazard detectors, select multiple impact detectors, identify multiple impact contact persons, and issue impact notifications.

[0051] In this embodiment of the invention, the impact notification processing unit 104 acquires the hazard detection locations of multiple hazard detectors, and according to the hazard detection locations, acquires meteorological data at the multiple hazard detector locations. It then integrates the multiple hazard detection locations and the corresponding meteorological data to perform diffusion impact analysis, determines multiple diffusion impact locations, and selects multiple impact detectors from multiple independent combustible gas detectors based on the multiple diffusion impact locations. Subsequently, it determines the impact contact persons corresponding to the multiple impact detectors, generates multiple corresponding impact notification messages based on the multiple hazard detection locations, and sends the multiple impact notification messages to the corresponding impact contact persons, thereby realizing the impact notification to multiple impact contact persons in the event of a possible leakage and diffusion.

[0052] The risk warning and control unit 105 is used to continuously monitor and control multiple impact detectors, acquire continuous monitoring data, perform risk trend analysis, select multiple risk detectors, and perform risk warning and control.

[0053] In this embodiment of the invention, the risk warning control unit 105 continuously monitors and controls the impact detectors to obtain continuous monitoring data, and then performs risk trend analysis on the continuous monitoring data to determine whether there is a diffusion risk. If one or more impact detectors detect an upward trend in the gas concentration, it is determined that there is a diffusion risk. At this time, multiple risk detectors are selected from the multiple impact detectors, and a risk warning instruction is generated. Then, risk warning control is performed on the multiple risk detectors according to the risk warning instruction.

[0054] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0055] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0056] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0057] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0058] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A user gas monitoring and early warning method based on data monitoring, characterized in that, The method specifically includes the following steps: Multiple independent combustible gas detectors are periodically monitored and controlled to acquire periodic monitoring data, and the status of the periodic monitoring data is identified to determine whether there is an abnormal status or leakage hazard. When an abnormal status occurs, select multiple abnormal detectors from the multiple independent combustible gas detectors, determine the corresponding abnormal type and the contact person for the abnormality, and issue an abnormality notification. In the event of a leak hazard, select multiple hazard detectors from a variety of stand-alone combustible gas detectors for direct alarm control. Based on multiple hazard detectors, a diffusion impact analysis was conducted, multiple impact detectors were selected, and multiple impact contact persons were identified and impact notifications were sent. Continuous monitoring and control of multiple impact detectors are carried out to obtain continuous monitoring data, conduct risk trend analysis, select multiple risk detectors, and carry out risk early warning and control.

2. The user gas monitoring and early warning method based on data monitoring according to claim 1, characterized in that, The process of periodically monitoring and controlling multiple independent combustible gas detectors, acquiring periodic monitoring data, and identifying the status of the periodic monitoring data to determine whether there is an abnormal status or leakage hazard specifically includes the following steps: Determine the gas monitoring cycle and multiple independent combustible gas detectors; According to the gas monitoring cycle, multiple independent combustible gas detectors are periodically monitored and controlled to obtain periodic monitoring data; The periodic monitoring data is subjected to anomaly identification to determine whether there is an anomaly. The periodic monitoring data is used to identify hazardous conditions and determine whether there is a risk of leakage.

3. The user gas monitoring and early warning method based on data monitoring according to claim 2, characterized in that, The process of identifying hazardous conditions in the periodic monitoring data to determine whether there is a risk of leakage specifically includes the following steps: Acquire periodic monitoring data, which includes location information, gas concentration detection values, and detection timestamps corresponding to each combustible gas detector, fed back by multiple independent combustible gas detectors during the gas monitoring cycle. Based on the location information, all stand-alone combustible gas detectors that have fed back periodic monitoring data are spatially topologically grouped to form at least one monitoring area unit. For each monitoring area unit, based on the detection timestamp, align and extract the gas concentration detection values ​​of all combustible gas detectors within the current monitoring area unit for the most recent N consecutive monitoring cycles; where N≥2; If M combustible gas detectors are identified within the current area unit, and if the gas concentration detection values ​​of each combustible gas detector show a monotonically increasing trend over the consecutive N monitoring periods, and the starting time points of the concentration increase trends of each combustible gas detector are propagated in order of their spatial location, then it is determined that there is an abnormal concentration growth pattern with spatiotemporal correlation within the area unit; wherein, M≥2, and M is less than or equal to the total number of combustible gas detectors within the unit. The gas concentration detection values ​​in the periodic monitoring data are compared one by one with the preset safety standard concentration threshold. If the gas concentration detection value of any combustible gas detector exceeds the safety standard concentration threshold, it is directly determined that there is a risk of leakage. If at least one monitoring area unit is identified to exhibit the aforementioned spatiotemporally correlated abnormal concentration growth pattern, it is also determined to be at risk of leakage.

4. The user gas monitoring and early warning method based on data monitoring according to claim 3, characterized in that, When an anomaly occurs, the process of selecting multiple abnormal detectors from among the multiple independent combustible gas detectors, determining the corresponding anomaly type and the contact person for the anomaly, and issuing an anomaly notification specifically includes the following steps: When an abnormal state occurs, multiple abnormal detectors are selected from the multiple independent combustible gas detectors. Determine the anomaly type and contact person corresponding to multiple anomaly detectors, wherein the anomaly type includes offline, unregistered, and faulty; Generate corresponding exception notification information according to the multiple exception types described; Multiple abnormal notification messages are sent to the corresponding abnormal contact persons to notify them of the abnormality.

5. The user gas monitoring and early warning method based on data monitoring according to claim 4, characterized in that, The method of selecting multiple hazard detectors from a pool of independent combustible gas detectors for direct alarm control when there is a risk of leakage specifically includes the following steps: In the event of a leak hazard, select multiple hazard detectors from a pool of stand-alone combustible gas detectors; The periodic monitoring data is analyzed to determine the hazard level of multiple hazard detectors; Generate corresponding alarm commands based on the multiple described hazard levels; According to the multiple alarm commands of the aforementioned levels, direct alarm control is performed on multiple corresponding hazard detectors at the corresponding hazard levels.

6. The user gas monitoring and early warning method based on data monitoring according to claim 5, characterized in that, The process of analyzing the periodic monitoring data to determine the hazard level of multiple hazard detectors specifically includes the following steps: Extract the gas concentration detection values ​​that correspond one-to-one with the hazard detectors from the periodic monitoring data; A preset safety standard concentration threshold is established, and the gas concentration detection value is compared with the safety standard concentration threshold to calculate the baseline concentration ratio. Based on the detection timestamp, the time taken for the concentration of the hazard detector to rise from the first time it exceeded the safety standard concentration threshold to the current value is calculated to obtain the time difference; a time decay coefficient is set according to the gas type and diffusion characteristics, and the concentration rise rate is calculated based on the size of the time difference and the time decay coefficient. Based on the hazard detection locations of all hazard detectors, calculate the average distance between the current hazard detector and other hazard detectors; preset the maximum effective correlation distance, and calculate the spatial clustering index of the leak point based on the maximum effective correlation distance and the average distance between the current detector and other hazard detectors; A comprehensive evaluation index is obtained by weighting the base concentration ratio, the rate of concentration increase, and the spatial clustering index of the leakage point. By setting multiple hazard level thresholds and comparing the comprehensive evaluation index with the multiple hazard level thresholds, the hazard level corresponding to the current hazard detector can be determined.

7. The user gas monitoring and early warning method based on data monitoring according to claim 6, characterized in that, The process of analyzing the diffusion impact based on multiple hazard detectors, selecting multiple impact detectors, identifying multiple impact contact persons, and notifying them of the impact specifically includes the following steps: Obtain the hazard detection locations of multiple hazard detectors; Based on multiple hazard detection locations, a diffusion impact analysis was conducted to determine multiple locations where diffusion impact occurred. Based on the multiple diffusion influence locations, multiple influencing detectors are selected from the multiple independent combustible gas detectors; Identify the contact persons associated with multiple of the aforementioned impact detectors; Based on the multiple hazard detection locations, multiple corresponding impact notification messages are generated; Multiple impact notification messages are sent to the corresponding impact contact persons to notify them of the impact.

8. The user gas monitoring and early warning method based on data monitoring according to claim 7, characterized in that, The process of analyzing the diffusion impact based on multiple hazard detection locations to determine multiple locations of diffusion impact includes the following steps: Based on multiple hazard detection locations, the corresponding gas concentration detection values ​​are normalized into relative hazard intensity weights; The location corresponding to the highest relative hazard intensity weight is taken as the main hazard source. The wind direction at the current location is analyzed, and the overall dominant diffusion direction is calculated by combining the building layout and ventilation corridor information of the preset area around the main hazard source. Based on the Gaussian plume diffusion model, with the main hazard source as the origin, a main axis influence zone is set in the overall dominant diffusion direction, and a dynamic influence range prediction model is constructed. The surrounding geographical areas corresponding to multiple hazard detection locations are divided into grids, and the impact range prediction model is used to calculate the corresponding probability value of each grid. A preset impact probability threshold is set, and the impact probability value of all grids is compared with the impact probability threshold. If the impact probability value is greater than or equal to the impact probability threshold, the center point coordinates of the corresponding grid are marked to obtain the potential diffusion impact location.

9. The user gas monitoring and early warning method based on data monitoring according to claim 8, characterized in that, The continuous monitoring and control of multiple impact detectors, acquisition of continuous monitoring data, risk trend analysis, and selection of multiple risk detectors for risk early warning and control specifically includes the following steps: The detector is continuously monitored and controlled to acquire continuous monitoring data; Perform risk trend analysis on the continuous monitoring data to determine whether there is a risk of spread; When there is a risk of spread, multiple risk detectors are selected from the multiple impact detectors; Generate risk warning instructions; Risk warning control is performed on multiple risk detectors according to the risk warning instructions.

10. The user gas monitoring and early warning method based on data monitoring according to claim 9, characterized in that, The continuous monitoring and control of multiple impact detectors, acquisition of continuous monitoring data, risk trend analysis, and selection of multiple risk detectors for risk early warning and control specifically includes the following steps: Extract gas concentration detection value sequences from continuous monitoring data and obtain environmental parameters of the current monitoring area in real time; Based on the gas concentration detection value sequence of each gas affecting the detector, the concentration change affecting the detector within the adjacent time window is calculated using linear regression or moving average difference method, and the concentration change rate affecting the detector is obtained. For each affected detector, the current gas concentration detection value and concentration change rate of the affected detector are obtained, and a consistency comparison analysis is performed by combining the corresponding affected probability value and the time difference between the generation time of the affected probability and the current time, so as to construct a prediction conformity factor to characterize the degree of matching between the actual diffusion situation and the prediction model. Spatial correlation analysis is performed on the concentration change rate affecting all detectors and the environmental parameters of the current monitoring area to identify whether there are detectors that are spatially continuous or along a specific direction, and to obtain a spatial correlation situation score. Based on the concentration change rate affecting the detector, the prediction accuracy factor, and the spatial correlation situation score, the comprehensive risk trend index of each detector is calculated. A preset individual risk threshold is set, and the comprehensive risk trend index of each influencing detector is compared with the individual risk threshold. Influencing detectors that exceed the individual risk threshold are marked as individuals with risk manifestation. A preset group risk threshold is set, and the number of individuals exhibiting risk is counted. The number of individuals exhibiting risk is compared with the group risk threshold. If the number of individuals exhibiting risk is greater than the group risk threshold, it is determined that there is a risk of spread, and risk warning and control are carried out based on the judgment result.

11. A user gas monitoring and early warning system based on data monitoring, wherein the system applies the user gas monitoring and early warning method based on data monitoring as described in any one of claims 1 to 10, characterized in that, The system includes a periodic monitoring and identification unit, an anomaly notification processing unit, a direct alarm control unit, an impact notification processing unit, and a risk warning control unit, wherein: The periodic monitoring and identification unit is used to periodically monitor and control multiple independent combustible gas detectors, acquire periodic monitoring data, and identify the status of the periodic monitoring data to determine whether there is an abnormal status or leakage hazard. An anomaly notification processing unit is used to select multiple abnormal detectors from multiple independent combustible gas detectors when there is an abnormal status, determine the corresponding anomaly type and the contact person for the anomaly, and issue an anomaly notification. The direct alarm control unit is used to select multiple hazard detectors from multiple independent combustible gas detectors for direct alarm control when there is a risk of leakage. The impact notification processing unit is used to perform diffusion impact analysis based on multiple hazard detectors, select multiple impact detectors, identify multiple impact contact persons, and issue impact notifications. The risk warning and control unit is used to continuously monitor and control multiple impact detectors, acquire continuous monitoring data, perform risk trend analysis, select multiple risk detectors, and carry out risk warning and control.

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