Harmful gas monitoring system and method in cable laying environment

Abstract

The invention discloses a harmful gas monitoring system and method in a cable laying environment, and belongs to the technical field of cable monitoring. The method comprises the steps that when it is detected that the concentration of harmful gas reaches a preset alarm threshold value, harmful gas data and wind power data are obtained, and the harmful gas data comprise a harmful gas concentration value and a harmful gas type combination; determining a weight rule corresponding to the harmful gas type combination, and obtaining a combination concentration value based on the harmful gas concentration value and the weight rule; determining an initial risk level based on a comparison result of the combined concentration value and a preset risk level threshold value; and determining a harmful gas monitoring result based on the wind power data and the initial risk level. According to the technical scheme, the problems that in the prior art, the mode that cable fault analysis is conducted only according to the concentration value of harmful gas is relatively single, and certain limitation exists can be solved, and the monitoring accuracy is improved by conducting cable fault analysis in combination with multi-dimensional information.

Description

Technical Field

[0001] The present application belongs to the technical field of cable monitoring, and specifically relates to a system and method for monitoring harmful gases in a cable laying environment. Background Art

[0002] Cables play an indispensable role in ensuring power supply, information transmission and industrial operations. Harmful gases in the cable laying environment may corrode the cables, causing short circuits, leakage and other faults. In addition, some harmful gases are flammable and explosive. Once they accumulate to a certain concentration in the cable laying environment, they will cause fires when they encounter fire sources or high temperatures. Through timely detection of harmful gases, potential safety hazards can be discovered and eliminated in a timely manner to protect people's lives and property.

[0003] Harmful gas monitoring plays an important role in protecting the environment and personnel safety. Existing harmful gas monitoring devices usually monitor the concentration of harmful gases and give alarms and corresponding maintenance suggestions when the concentration value exceeds the standard. However, this method of analyzing cable faults based only on the concentration value of harmful gases is relatively simple and has certain limitations, which needs to be improved. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a method and system for monitoring harmful gases in a cable laying environment, with the aim of solving the problem that the prior art method of performing cable fault analysis based only on harmful gas concentration values ​​is relatively single and has certain limitations, and improving the accuracy of monitoring by combining multi-dimensional information for cable fault analysis.

[0005] In a first aspect, an embodiment of the present application provides a method for monitoring harmful gases in a cable laying environment, the method comprising:

[0006] When it is detected that the concentration of harmful gas reaches a preset alarm threshold, the harmful gas data and wind speed data are obtained, wherein the harmful gas data includes a harmful gas concentration value and a combination of harmful gas types;

[0007] Determine a weight rule corresponding to the harmful gas type combination, and obtain a combined concentration value based on the harmful gas concentration value and the weight rule;

[0008] Determining an initial risk level based on a comparison result of the combined concentration value and a preset risk level threshold;

[0009] The harmful gas monitoring result is determined based on the wind data and the initial risk level.

[0010] Optionally, the determining of the weight rule corresponding to the harmful gas type combination includes:

[0011] The weight rules for associating the harmful gases are determined based on a preset weight association list, and the construction process of the weight association list includes: dividing the harmful gases in the harmful gas type combination into different hazard levels based on the toxicity, flammability, and corrosiveness factors of the harmful gases, and assigning weight coefficients to the hazard levels, and associating and storing the weight coefficients corresponding to each harmful gas in different harmful gas type combinations to obtain a weight association list.

[0012] Optionally, determining the initial risk level based on a comparison result of the combined concentration value and a preset risk level threshold value includes:

[0013] Comparing the combined concentration value with pre-set threshold ranges of different risk levels;

[0014] An initial risk level is determined according to the risk level interval in which the combined concentration value lies.

[0015] Optionally, the wind data includes wind speed data, and determining the harmful gas monitoring result based on the wind data and the initial risk level includes:

[0016] Determining the wind speed influence factor corresponding to the wind speed data based on a preset linear relationship between the wind speed and the wind speed influence factor;

[0017] The initial risk level is multiplied by the wind speed impact factor to obtain the harmful gas monitoring result.

[0018] Optionally, the linear relationship between the wind speed and the wind speed influencing factor includes:

[0019]

[0020] Among them, k is the wind speed influence coefficient, wind speed is the current wind speed value, and the benchmark wind speed is the reference wind speed value. The wind speed influence coefficient is determined by the corresponding relationship between the historical wind speed and the concentration of harmful gases, and the benchmark wind speed is determined according to the average wind speed in the historical environment.

[0021] Optionally, the wind data includes wind direction data, and the determining the harmful gas monitoring result based on the wind data and the initial risk level further includes:

[0022] Determine a wind direction influencing factor based on an actual concentration value of the harmful gas corresponding to the pre-acquired wind direction data and a reference concentration value, wherein the reference concentration value is determined according to an average concentration value of the harmful gas in the historical environment;

[0023] The initial risk level is multiplied by the wind direction influence factor to obtain the harmful gas monitoring result.

[0024] Optionally, determining the wind direction influencing factor based on the actual concentration value and the reference concentration value corresponding to the pre-acquired wind direction data includes:

[0025]

[0026] The actual concentration value is obtained based on the collection of monitoring nodes, and the reference concentration value is obtained by averaging the concentrations of harmful gases at different historical moments.

[0027] In a second aspect, an embodiment of the present application provides a system for monitoring harmful gases in a cable laying environment, the system comprising:

[0028] A data acquisition module, used to acquire harmful gas data and wind data when it is detected that the concentration of harmful gas reaches a preset alarm threshold, wherein the harmful gas data includes a harmful gas concentration value and a combination of harmful gas types;

[0029] A weight rule determination module, used to determine the weight rule corresponding to the harmful gas type combination;

[0030] A concentration value determination module, used for obtaining a combined concentration value based on the harmful gas concentration value and the weight rule;

[0031] A risk level determination module, used to determine an initial risk level based on a comparison result between the combined concentration value and a preset risk level threshold;

[0032] A result determination module is used to determine the harmful gas monitoring result based on the wind data and the initial risk level.

[0033] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0034] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0035] In an embodiment of the present application, when it is detected that the concentration of harmful gases reaches a preset alarm threshold, harmful gas data and wind data are obtained, wherein the harmful gas data includes a harmful gas concentration value and a harmful gas type combination; a weight rule corresponding to the harmful gas type combination is determined, and a combined concentration value is obtained based on the harmful gas concentration value and the weight rule; an initial risk level is determined based on a comparison result between the combined concentration value and a preset risk level threshold; and a harmful gas monitoring result is determined based on the wind data and the initial risk level. The above-mentioned harmful gas monitoring method in a cable laying environment can solve the problem that the prior art method of performing cable fault analysis based only on harmful gas concentration values ​​is relatively single and has certain limitations, and improves the accuracy of monitoring by combining multi-dimensional information for cable fault analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of a method for monitoring harmful gases in a cable laying environment provided in an embodiment of the present application;

[0037] Figure 2 It is a flow chart of another method for monitoring harmful gases in a cable laying environment provided in an embodiment of the present application;

[0038] Figure 3 It is a flow chart of another method for monitoring harmful gases in a cable laying environment provided in an embodiment of the present application;

[0039] Figure 4 It is a structural schematic diagram of a harmful gas monitoring system in a cable laying environment provided by an embodiment of the present application;

[0040] Figure 5 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only the part related to the present application but not all the contents are shown in the accompanying drawings. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of each operation can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0042] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0043] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0044] In the following, in combination with the accompanying drawings, the harmful gas monitoring device, method and equipment in the cable laying environment provided by the embodiments of the present application are described in detail through specific embodiments and their application scenarios.

[0045] The harmful gas monitoring method in the cable laying environment provided in the embodiment of the present application can be applied to the scene where the harmful gas in the cable laying environment needs to be monitored. The execution subject of each step of the harmful gas monitoring method in the cable laying environment provided in the embodiment of the present application can be a server.

[0046] Figure 1 1 is a flow chart of a method for monitoring harmful gases in a cable laying environment provided in an embodiment of the present application. Figure 1 As shown, the method includes:

[0047] S101. When it is detected that the concentration of harmful gas reaches a preset alarm threshold, harmful gas data and wind speed data are obtained, where the harmful gas data includes a harmful gas concentration value and a combination of harmful gas types.

[0048] Among them, the concentration of harmful gases refers to the volume ratio or mass concentration of harmful gases in the cable laying space, which reflects the degree of pollution of harmful gases in the cable laying space. The preset alarm threshold refers to the concentration value when the concentration of harmful gases can cause damage to the cables. Harmful gas data refers to the relevant data of harmful gases collected by the monitoring nodes, such as the type of harmful gases, the specific concentration value corresponding to the type of harmful gases, and the combination of harmful gas types composed of all harmful gas types in the space. Wind data refers to specific information or data about the characteristics of wind strength, speed, direction, etc.

[0049] In one embodiment, the server compares the harmful gas concentration in the cable laying environment received and uploaded by the monitoring node with the preset harmful gas concentration alarm threshold. When the harmful gas concentration is greater than or equal to the preset alarm threshold, the server sends a data collection command to the monitoring node. The monitoring node identifies different types of harmful gases in the cable laying environment, and collects concentration values ​​corresponding to different types of harmful gases in the cable laying environment, as well as data such as wind intensity, speed, and direction.

[0050] S102: Determine a weight rule corresponding to the harmful gas type combination, and obtain a combined concentration value based on the harmful gas concentration value and the weight rule.

[0051] Among them, the weight rule is used to measure the relative importance of different types of harmful gases in the cable laying environment. The weight rule records the weight coefficient of each harmful gas in the combination of different harmful gas types. The combined concentration value is a comprehensive indicator used to indicate the overall concentration level when multiple harmful gases exist simultaneously in the cable laying space.

[0052] In one embodiment, it is first determined which types of harmful gases in the current cable laying environment are involved in the combination, and a weight is assigned to each type of harmful gas according to the degree of harm to the cable caused by the different harmful gases. The combined concentration value is obtained by multiplying the concentration value of each harmful substance by its corresponding weight, and then adding these products.

[0053] Optionally, the determining of the weight rule corresponding to the harmful gas type combination includes:

[0054] The weight rules for associating the harmful gases are determined based on a preset weight association list, and the construction process of the weight association list includes: dividing the harmful gases in the harmful gas type combination into different hazard levels based on the toxicity, flammability, and corrosiveness factors of the harmful gases, and assigning weight coefficients to the hazard levels, and associating and storing the weight coefficients corresponding to each harmful gas in different harmful gas type combinations to obtain a weight association list.

[0055] Among them, the weight association list is a file or data table that records the association relationship of different combinations of harmful gas types and the weight rules of the combinations. Toxicity refers to the ability of certain gases to have a harmful effect on an object at a specific concentration. If there are toxic gases in the environment where the cable is located, these gases will have adverse effects on the insulation materials, sheaths, etc. of the cable. Flammability refers to the property that a substance is easy to ignite and continue to burn under specific conditions. If the insulation materials and sheaths of the cable are flammable, it is easy to catch fire when encountering open flames or high temperatures. Corrosiveness refers to the property that a substance can destroy or erode the surface of other substances. For cables, corrosiveness is mainly reflected in the erosion of the insulation layer, sheath and metal conductor. If the cable is in a corrosive environment for a long time, such as a humid place with high pH, ​​its insulation layer and sheath are easily corroded and damaged, resulting in a decrease in cable performance. At the same time, the metal conductor will also be corroded, oxidation, rust and other phenomena will occur, which will affect the electrical conductivity and mechanical strength of the cable. The hazard level is used to measure the different degrees of harm caused by different types of harmful gases to the cable. The higher the hazard level of the harmful gas, the greater the corresponding weight coefficient.

[0056] In one embodiment, the types of harmful gases that may affect the cables in the current cable laying environment are first identified, such as hydrogen sulfide, chlorine, ammonia, etc., and then the different hazard levels of harmful gases to the cables are divided based on the acute toxicity, long-term exposure toxicity, flash point, explosion limit, and corrosion rate and degree of harmful gases to the cables. The hazard level can reflect the potential degree of damage caused by harmful gases to the cables, such as slight corrosion, moderate damage, severe damage, etc. A weight coefficient is assigned to each hazard level, and the allocation of weight coefficients should be based on a comprehensive consideration of the importance, impact, and actual situation of each factor. For example, high toxicity in the toxicity level may be assigned a higher weight coefficient, while low corrosivity in the corrosiveness level may be assigned a lower weight coefficient.

[0057] Specifically, when determining the weight of harmful gases, it is necessary to determine the weight of a single harmful gas and the weight of a combination of harmful gas types. Among them, the weight determination of a single harmful gas is to determine the weight coefficient of each harmful gas at different hazard levels. The weight determination of a combination of harmful gas types needs to take into account the simultaneous existence of different harmful gases, and determine the combined weight coefficient according to the ratio of the weights of the single harmful gases of different harmful gases. Finally, each combination of harmful gas types and its corresponding weight coefficient are associated and stored to form a weight association list. This list can be a table, a database record, or a data structure in a program.

[0058] S103: Determine an initial risk level based on a comparison result between the combined concentration value and a preset risk level threshold.

[0059] Among them, the preset risk level threshold refers to a series of limit values ​​pre-set in the field of cable risk management in order to distinguish the different degrees of impact of different harmful gas concentrations on cables. Specifically, by analyzing the data of historical risk events, we can understand the distribution, impact and probability of occurrence of various risks, and thus set reasonable thresholds. The initial risk level refers to the risk level of harmful gases that is preliminarily evaluated and determined based only on the concentration of harmful gases in the cable laying environment. This level is the basis for the subsequent determination of harmful gas monitoring results.

[0060] In one embodiment, the calculated combined concentration value of the harmful gas is compared with the corresponding preset risk level threshold value to determine the harmful gas risk level corresponding to the maximum limit value among the preset limit values ​​for which the combined concentration value of the harmful gas is greater than or equal to, and determine it as the initial risk level of the harmful gas.

[0061] Optionally, determining the initial risk level based on a comparison result of the combined concentration value and a preset harmful gas level threshold value includes:

[0062] Comparing the combined concentration value with pre-set threshold ranges of different risk levels;

[0063] An initial risk level is determined according to the risk level interval in which the combined concentration value lies.

[0064] Among them, the threshold ranges of different risk levels can be understood as the harmful gas concentration interval values ​​corresponding to different harmful gas risk levels.

[0065] In one embodiment, the pre-calculated combined concentration value of the harmful gas is compared with a preset threshold range, and the initial risk level of the corresponding harmful gas is determined according to the interval range in which the combined concentration value falls. For example, the preset threshold range of the risk level can be:

[0066] Low risk (0-10ppm)

[0067] Medium risk (10-50ppm)

[0068] High risk (50-100ppm)

[0069] Extremely high risk (>100ppm), the pre-calculated concentration value of the harmful gas may be 87ppm, from which it can be determined that the concentration value of the harmful gas falls into the range of 50-100ppm, and the corresponding initial risk level of the harmful gas is high risk.

[0070] S104. Determine harmful gas monitoring results based on the wind data and the initial risk level.

[0071] Among them, harmful gas monitoring results refer to the measurement and evaluation results of harmful gas concentrations in cable laying or use areas.

[0072] In one embodiment, since wind can affect the concentration value of harmful gases, the harmful gas monitoring results can be determined based on the wind data collected by the monitoring node and the initial risk level of the harmful gas. The harmful gas monitoring results may include the concentration value of the harmful gas or the risk level of the harmful gas. Specifically, first determine the impact of wind on the diffusion of harmful gases. For example, higher wind speeds may cause harmful gases to diffuse faster, thereby reducing the risk level of harmful gases. Then determine the risk level of harmful gases based on the wind data and the initial risk level. For example, set the rules for the impact of wind speed on risk level:

[0073] Wind speed ≤5m / s: The risk level of harmful gases remains unchanged compared to the initial risk level;

[0074] Wind speed is 5-10m / s: the risk level of harmful gases is reduced by one level compared with the initial risk level;

[0075] Wind speed>10m / s: The risk level of harmful gases is reduced by two levels compared to the initial risk level.

[0076] In an embodiment of the present application, when it is detected that the concentration of harmful gases reaches a preset alarm threshold, harmful gas data and wind data are obtained, wherein the harmful gas data includes a harmful gas concentration value and a harmful gas type combination; a weight rule corresponding to the harmful gas type combination is determined, and a combined concentration value is obtained based on the harmful gas concentration value and the weight rule; an initial risk level is determined based on a comparison result between the combined concentration value and a preset risk level threshold; and harmful gas monitoring results are determined based on the wind data and the initial risk level. This technical solution, by considering the influence of wind factors on the concentration of harmful gases, jointly determines the monitoring results of harmful gases based on wind data and harmful gas concentration data, and can solve the problem that the existing method of performing cable fault analysis based only on harmful gas concentration values ​​is relatively single and has certain limitations, and improves the accuracy of monitoring by combining multi-dimensional information for cable fault analysis.

[0077] Figure 2 FIG. 1 is a flow chart of another method for monitoring harmful gases in a cable laying environment provided in an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0078] S201. When it is detected that the concentration of harmful gas reaches a preset alarm threshold, harmful gas data and wind data are obtained, wherein the harmful gas data includes a harmful gas concentration value and a harmful gas type combination, and the wind data includes wind speed data.

[0079] Among them, wind speed data refers to the speed of air movement relative to a fixed location on the earth, and the commonly used units are m / s (meters per second) or km / h (kilometers per hour). Wind speed is an important factor affecting the diffusion rate of harmful gases. Generally speaking, the greater the wind speed, the greater the amount of air passing through a certain section per unit time, and the more conducive it is to the dilution and diffusion of harmful gases. Therefore, when the wind speed is high, the diffusion rate of harmful gases will be accelerated, the concentration will be reduced, and the harm to cables will be reduced accordingly.

[0080] S202: Determine a weight rule corresponding to the harmful gas type combination, and obtain a combined concentration value based on the harmful gas concentration value and the weight rule.

[0081] S203: Determine an initial risk level based on a comparison result between the combined concentration value and a preset risk level threshold.

[0082] S204: Determine a wind speed influence factor corresponding to the wind speed data based on a preset linear relationship between the wind speed and the wind speed influence factor.

[0083] The wind speed impact factor is a coefficient used to quantify the effect of wind speed on the concentration of harmful gases. The linear relationship between wind speed and wind speed adjustment factor means that there is a linear mathematical relationship between wind speed adjustment factor and wind speed.

[0084] In one embodiment, a linear relationship between wind speed and wind speed influence factor coefficient may be preset based on historical data, and then the wind speed influence factor may be calculated based on the current wind speed and the defined linear relationship.

[0085] In one embodiment, optionally, the linear relationship between the wind speed and the wind speed influencing factor includes:

[0086]

[0087] Among them, k is the wind speed influence coefficient, wind speed is the current wind speed value, and the benchmark wind speed is the reference wind speed value. The wind speed influence coefficient is determined by the corresponding relationship between the historical wind speed and the concentration of harmful gases, and the benchmark wind speed is determined according to the average wind speed in the historical environment.

[0088] In one embodiment, it is obvious that the higher the wind speed, the more obvious the dilution effect of the harmful gas, so that the danger level of the harmful gas is reduced. Specifically, a relationship model between wind speed and gas risk level can be established according to actual conditions. For example, a linear curve corresponding to wind speed and wind speed influence factor can be obtained through experiments or historical data. Then the wind speed influence factor is calculated according to the current wind speed and the defined model. For example, if the risk level decreases by a fixed proportion for every unit increase in wind speed, the wind speed adjustment factor can be calculated using the following formula:

[0089]

[0090] For example, the current wind speed value is 7m / s, the average wind speed value in the historical environment is 5m / s, and the wind speed influence coefficient is 0.5. Therefore, it can be determined that the wind speed influence factor is 0.5.

[0091] S205. Multiply the initial risk level by the wind speed impact factor to obtain the harmful gas monitoring result.

[0092] In one embodiment, the risk level of harmful gas = initial risk level × wind speed adjustment factor. For example, if the initial risk level is 4, the wind speed impact factor is 0.5, the final risk level of harmful gas is 2.

[0093] Figure 3 FIG. 1 is a flow chart of another method for monitoring harmful gases in a cable laying environment provided in an embodiment of the present application. Figure 3 As shown, the method includes:

[0094] S301. When it is detected that the concentration of harmful gas reaches a preset alarm threshold, harmful gas data and wind data are obtained, wherein the harmful gas data includes a harmful gas concentration value and a combination of harmful gas types, and the wind data includes wind direction data.

[0095] Among them, wind direction data refers to the record of the blowing direction of the wind. It is information describing the direction from which the wind blows at a certain moment, usually expressed in angles (such as angles relative to the north) or directions (such as east wind, south wind). Wind direction affects the concentration distribution of harmful gases in the cable laying environment. For example, areas along the wind direction may have higher gas concentrations, while areas downwind of the wind direction have lower concentrations.

[0096] S302: Determine a weight rule corresponding to the harmful gas type combination, and obtain a combined concentration value based on the harmful gas concentration value and the weight rule.

[0097] S303: Determine an initial risk level based on a comparison result between the combined concentration value and a preset risk level threshold.

[0098] S304: determining a wind direction influencing factor based on an actual concentration value of the harmful gas corresponding to the pre-acquired wind direction data and a reference concentration value, wherein the reference concentration value is determined according to an average concentration value of the harmful gas in the historical environment.

[0099] The actual concentration value of the harmful gas is the actual concentration value of the harmful gas in the current cable laying environment actually obtained by the monitoring node. The wind direction influence factor is a coefficient used to quantify the influence of wind direction on the concentration of harmful gases.

[0100] In one embodiment, the actual concentration value and the reference concentration value of the harmful gas corresponding to the pre-acquired wind direction data can be substituted into the formula

[0101] Wind direction influence factor = baseline concentration value of harmful gases - actual concentration value,

[0102] The wind direction influence factor is thus determined. For example, the actual concentration value of the harmful gas is 10%, and the reference concentration value is 20%, so the wind direction influence factor can be determined to be 0.1.

[0103] Optionally, determining the wind direction influencing factor based on the actual concentration value and the reference concentration value corresponding to the pre-acquired wind direction data includes:

[0104] The actual concentration value is obtained based on the collection of monitoring nodes, and the reference concentration value is obtained by averaging the concentrations of harmful gases at different historical moments.

[0105] In one embodiment, the concentration of harmful gases under a specific wind direction collected by the monitoring node is taken as the actual concentration value. The average value of the concentration of harmful gases calculated from different historical moments is determined as the reference concentration value. The actual concentration value is compared with the reference concentration value. The wind direction influence factor can be defined as the ratio of the actual concentration value to the reference concentration value. For example, the actual concentration value is 10%, the reference concentration value is 20%, and the wind direction influence factor is 0.5.

[0106] Optionally, the wind direction influencing factors under different wind directions can be summarized and analyzed to identify which wind directions have a greater impact on the concentration of harmful gases. It may be necessary to draw a distribution map of wind direction influencing factors to more intuitively understand the impact of wind direction on concentration.

[0107] S305: Multiply the initial risk level by the wind direction influence factor to obtain the harmful gas monitoring result.

[0108] In one embodiment, the initial risk level is multiplied by the wind direction influence factor to obtain the final risk level of the harmful gas. For example, if the initial risk level is 3 and the wind direction influence factor is 0.5, the final risk level of the harmful gas is 1.5.

[0109] Figure 4 Schematic diagram of a harmful gas monitoring system in a cable laying environment provided by an embodiment of the present application. Figure 4 As shown, it specifically includes the following modules:

[0110] The data acquisition module 401 is used to acquire harmful gas data and wind data when it is detected that the concentration of harmful gas reaches a preset alarm threshold, wherein the harmful gas data includes a harmful gas concentration value and a combination of harmful gas types;

[0111] A weight rule determination module 402 is used to determine the weight rule corresponding to the harmful gas type combination;

[0112] A concentration value determination module 403, configured to obtain a combined concentration value based on the harmful gas concentration value and the weight rule;

[0113] A risk level determination module 404, configured to determine an initial risk level based on a comparison result between the combined concentration value and a preset risk level threshold;

[0114] The result determination module 405 is used to determine the harmful gas monitoring result based on the wind data and the initial risk level.

[0115] In one embodiment, the weight rule determination module 402 is specifically configured to:

[0116] The weight rules for associating the harmful gases are determined based on a preset weight association list, and the construction process of the weight association list includes: dividing the harmful gases in the harmful gas type combination into different hazard levels based on the toxicity, flammability, and corrosiveness factors of the harmful gases, and assigning weight coefficients to the hazard levels, and associating and storing the weight coefficients corresponding to each harmful gas in different harmful gas type combinations to obtain a weight association list.

[0117] In one embodiment, the concentration value determination module 403 is specifically used to:

[0118] Comparing the combined concentration value with pre-set threshold ranges of different risk levels;

[0119] An initial risk level is determined according to the risk level interval in which the combined concentration value lies.

[0120] In one embodiment, the risk level determination module 404 is specifically configured to:

[0121] Determining the wind speed influence factor corresponding to the wind speed data based on a preset linear relationship between the wind speed and the wind speed influence factor;

[0122] The initial risk level is multiplied by the wind speed impact factor to obtain the harmful gas monitoring result.

[0123] In one embodiment, the result determination module 405 is specifically configured to:

[0124] Determine the linear relationship between wind speed and wind speed influencing factors, including:

[0125]

[0126] Among them, k is the wind speed influence coefficient, wind speed is the current wind speed value, and the benchmark wind speed is the reference wind speed value. The wind speed influence coefficient is determined by the corresponding relationship between the historical wind speed and the concentration of harmful gases, and the benchmark wind speed is determined according to the average wind speed in the historical environment.

[0127] In one embodiment, the result determination module 405 is specifically configured to:

[0128] Determine a wind direction influencing factor based on an actual concentration value of the harmful gas corresponding to the pre-acquired wind direction data and a reference concentration value, wherein the reference concentration value is determined according to an average concentration value of the harmful gas in the historical environment;

[0129] The initial risk level is multiplied by the wind direction influence factor to obtain the harmful gas monitoring result.

[0130] In one embodiment, the result determination module 405 is specifically configured to:

[0131] The wind direction influencing factor is determined based on the actual concentration value and the reference concentration value corresponding to the pre-acquired wind direction data, including:

[0132]

[0133] The actual concentration value is obtained based on the collection of monitoring nodes, and the reference concentration value is obtained by averaging the concentrations of harmful gases at different historical moments.

[0134] The harmful gas monitoring system in the cable laying environment provided in the embodiment of the present application corresponds to the harmful gas monitoring method in the cable laying environment provided in the above embodiment, and has the same beneficial effects. To avoid repetition, they will not be described here.

[0135] like Figure 5 As shown, an embodiment of the present application also provides an electronic device 500, including a processor 501, a memory 502, and a program or instruction stored in the memory 502 and executable on the processor 501. When the program or instruction is executed by the processor 501, each process of the embodiment of the harmful gas monitoring device in the above-mentioned cable laying environment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0136] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0137] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned harmful gas monitoring device embodiment in the cable laying environment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0138] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0139] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0140] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0141] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

[0142] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for monitoring harmful gases in a cable laying environment, characterized in that: The method comprises: When it is detected that the concentration of harmful gas reaches a preset alarm threshold, the harmful gas data and wind speed data are obtained, wherein the harmful gas data includes a harmful gas concentration value and a combination of harmful gas types; Determine a weight rule corresponding to the harmful gas type combination, and obtain a combined concentration value based on the harmful gas concentration value and the weight rule; Determining an initial risk level based on a comparison result of the combined concentration value and a preset risk level threshold; The harmful gas monitoring result is determined based on the wind data and the initial risk level.

2. The method for monitoring harmful gases in a cable laying environment according to claim 1, characterized in that: The determining of the weight rules corresponding to the harmful gas type combinations includes: The weight rules for associating the harmful gases are determined based on a preset weight association list, and the construction process of the weight association list includes: dividing the harmful gases in the harmful gas type combination into different hazard levels based on the toxicity, flammability, and corrosiveness factors of the harmful gases, and assigning weight coefficients to the hazard levels, and associating and storing the weight coefficients corresponding to each harmful gas in different harmful gas type combinations to obtain a weight association list.

3. The method for monitoring harmful gases in a cable laying environment according to claim 1, characterized in that: The determining of the initial risk level based on the comparison result of the combined concentration value and the preset risk level threshold value includes: Comparing the combined concentration value with pre-set threshold ranges of different risk levels; An initial risk level is determined according to the risk level interval in which the combined concentration value lies.

4. The method for monitoring harmful gases in a cable laying environment according to claim 1, characterized in that: The wind data includes wind speed data, and determining the harmful gas monitoring result based on the wind data and the initial risk level includes: Determining the wind speed influence factor corresponding to the wind speed data based on a preset linear relationship between the wind speed and the wind speed influence factor; The initial risk level is multiplied by the wind speed impact factor to obtain the harmful gas monitoring result.

5. The method for monitoring harmful gases in a cable laying environment according to claim 4, characterized in that: The linear relationship between the wind speed and the wind speed influencing factor includes: Among them, k is the wind speed influence coefficient, wind speed is the current wind speed value, and the benchmark wind speed is the reference wind speed value. The wind speed influence coefficient is determined by the corresponding relationship between the historical wind speed and the concentration of harmful gases, and the benchmark wind speed is determined according to the average wind speed in the historical environment.

6. The method for monitoring harmful gases in a cable laying environment according to claim 4, characterized in that: The wind data includes wind direction data, and the determining of the harmful gas monitoring result based on the wind data and the initial risk level further includes: Determine a wind direction influencing factor based on an actual concentration value of the harmful gas corresponding to the pre-acquired wind direction data and a reference concentration value, wherein the reference concentration value is determined according to an average concentration value of the harmful gas in the historical environment; The initial risk level is multiplied by the wind direction influence factor to obtain the harmful gas monitoring result.

7. The method for monitoring harmful gases in a cable laying environment according to claim 6, characterized in that: The determining of the wind direction influencing factor based on the actual concentration value and the reference concentration value corresponding to the pre-acquired wind direction data includes: The actual concentration value is obtained based on the collection of monitoring nodes, and the reference concentration value is obtained by averaging the concentrations of harmful gases at different historical moments.

8. A harmful gas monitoring system in a cable laying environment, characterized in that: The system comprises: A data acquisition module, used to acquire harmful gas data and wind data when it is detected that the concentration of harmful gas reaches a preset alarm threshold, wherein the harmful gas data includes a harmful gas concentration value and a combination of harmful gas types; A weight rule determination module, used to determine the weight rule corresponding to the harmful gas type combination; A concentration value determination module, used for obtaining a combined concentration value based on the harmful gas concentration value and the weight rule; A risk level determination module, used to determine an initial risk level based on a comparison result between the combined concentration value and a preset risk level threshold; A result determination module is used to determine the harmful gas monitoring result based on the wind data and the initial risk level.

9. A harmful gas monitoring device in a cable laying environment, the device comprising: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the harmful gas monitoring method in the cable laying environment as described in any one of claims 1-7.

10. A storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the harmful gas monitoring method in a cable laying environment as claimed in any one of claims 1 to 7 when executed by a computer processor.

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