Cable channel environment monitoring method and system

Abstract

The invention relates to the technical field of cable channel environment monitoring, and particularly provides a cable channel environment monitoring method and system, and the method comprises the steps: calculating the change rate of each environment parameter flow in an environment parameter data set in a preset time window, so as to obtain the parameter change rate corresponding to each environment parameter flow; acquiring a preset monitoring point attribute according to the monitoring point identifier; when the parameter change rate greater than the preset change rate threshold exists, analyzing a linkage relationship among the environment parameter streams according to all the parameter change rates and a preset parameter linkage rule; obtaining an adaptive monitoring strategy according to all parameter change rates, the linkage relationship and the attributes of the monitoring points, and then applying the adaptive monitoring strategy to the monitoring points; according to the method, the cable channel environment monitoring strategy can be adaptively adjusted by comprehensively considering the change rate analysis of the environment parameters, the linkage relationship among the environment parameters and the attributes of the monitoring points.

Description

Technical Field

[0001] The present application relates to the technical field of cable trench environment monitoring, and in particular to a cable trench environment monitoring method and system. Background Art

[0002] Cable trenches serve as underground passages for critical infrastructure such as power and communications cables, so maintaining a stable and safe internal environment is crucial. Typical cable trench environmental monitoring systems continuously monitor parameters such as temperature, humidity, gas concentrations (such as oxygen, methane, and hydrogen sulfide), and water depth to promptly detect abnormalities that could damage cables or lead to accidents.

[0003] Traditional cable trench environmental monitoring systems generally employ a static, fixed monitoring strategy, periodically collecting readings from all sensors at predetermined, fixed intervals and setting static alarm thresholds. However, due to various factors, such as construction activities and pollution sources, trench environmental parameters can fluctuate at varying speeds, magnitudes, and durations. For example, if a sudden incident, such as a nearby gas pipeline leak, occurs, methane concentrations within the trench can rapidly rise to dangerous levels.

[0004] When cable trench environmental parameters change rapidly or sudden abnormal events occur, the existing fixed sampling frequency monitoring strategy has shortcomings. For example, when the sampling interval is long, if the concentration of harmful gases rises rapidly between two fixed sampling intervals and reaches a dangerous level, the existing technology may not be able to capture this rapid deterioration trend in time, resulting in alarm delays and increased accident risks, which in turn reduces the effectiveness of environmental monitoring.

[0005] On the other hand, when the cable trench environment remains stable for a long time, if the system still maintains the same high-frequency monitoring strategy as in the high-risk period, it will cause the sensors to work unnecessarily frequently, quickly consume battery power, shorten service life, and increase maintenance costs. At the same time, high-frequency data transmission will occupy communication bandwidth, increase the burden on the data storage system, and cause unnecessary pressure on the background data processing and analysis system. This excessive consumption of system resources during the environmental stability period reduces the overall operating efficiency and resource utilization of the system.

[0006] There is currently no effective technical solution to the above problems. Summary of the Invention

[0007] The purpose of this application is to provide a cable trench environment monitoring method and system, which can effectively avoid the problems of alarm delays and increased accident risks, reduced effectiveness of environmental monitoring due to the inability of fixed monitoring strategies to capture such rapidly deteriorating trends in a timely manner, and shortened sensor service life, increased maintenance costs, and reduced overall system operating efficiency and resource utilization due to the use of high-frequency monitoring strategies when the cable trench environment remains stable for a long time.

[0008] In a first aspect, the present application provides a cable trench environment monitoring method, which comprises the following steps: S1. Obtain the monitoring point identifier and environmental parameter data set of the monitoring point, and then calculate the change rate of each environmental parameter flow in the environmental parameter data set within a preset time window to obtain the parameter change rate corresponding to each environmental parameter flow; S2. Obtaining pre-set monitoring point attributes according to the monitoring point identifier; S3. When there is a parameter change rate greater than a preset change rate threshold, analyzing the linkage relationship between each environmental parameter flow according to all parameter change rates and preset parameter linkage rules; S4. Obtain an adaptive monitoring strategy based on all parameter change rates, linkage relationships, and monitoring point attributes, and then apply the adaptive monitoring strategy to the monitoring point. The adaptive monitoring strategy is used to adjust the monitoring parameters of the monitoring point.

[0009] The present application provides a cable trench environment monitoring method, which can adaptively adjust the cable trench environment monitoring strategy by comprehensively considering the change rate analysis of environmental parameters, the linkage relationship between environmental parameters and the attributes of the monitoring points themselves by obtaining an adaptive monitoring strategy based on the change rates of all parameters, the linkage relationship and the attributes of the monitoring points. Therefore, the present application can effectively avoid the problems of alarm delays and increased accident risks, reduced effectiveness of environmental monitoring due to the inability of fixed monitoring strategies to capture this rapid deterioration trend in a timely manner, and shortened sensor service life, increased maintenance costs, and reduced overall system operating efficiency and resource utilization due to the use of high-frequency monitoring strategies when the cable trench environment remains stable for a long time, thereby effectively improving the timeliness and effectiveness of environmental monitoring as well as the system's operating efficiency and resource utilization.

[0010] In a second aspect, the present application also provides a cable trench environment monitoring system, which includes: The parameter change rate acquisition module is used to obtain the monitoring point identifier and environmental parameter data set of the monitoring point, and then calculate the change rate of each environmental parameter flow in the environmental parameter data set within a preset time window to obtain the parameter change rate corresponding to each environmental parameter flow; A monitoring point attribute acquisition module is used to obtain preset monitoring point attributes according to the monitoring point identifier; A linkage analysis module is used to analyze the linkage relationship between various environmental parameter flows based on all parameter change rates and preset parameter linkage rules when there is a parameter change rate greater than a preset change rate threshold; The monitoring strategy adjustment module is used to obtain an adaptive monitoring strategy based on the change rates of all parameters, linkage relationships and monitoring point attributes, and then apply the adaptive monitoring strategy to the monitoring point. The adaptive monitoring strategy is used to adjust the monitoring parameters of the monitoring point.

[0011] The present application provides a cable trench environment monitoring system, which can adaptively adjust the cable trench environment monitoring strategy by comprehensively considering the change rate analysis of environmental parameters, the linkage relationship between environmental parameters and the attributes of the monitoring points themselves by obtaining an adaptive monitoring strategy based on the change rate of all parameters, the linkage relationship and the attributes of the monitoring points. Therefore, the present application can effectively avoid the problems of alarm delays and increased accident risks, reduced effectiveness of environmental monitoring due to the inability of fixed monitoring strategies to capture this rapid deterioration trend in a timely manner, and shortened sensor service life, increased maintenance costs, and reduced overall system operating efficiency and resource utilization due to the use of high-frequency monitoring strategies when the cable trench environment remains stable for a long time, thereby effectively improving the timeliness and effectiveness of environmental monitoring as well as the system's operating efficiency and resource utilization.

[0012] From the above, it can be seen that the cable trench environment monitoring method and system provided by the present application can realize adaptive adjustment of the cable trench environment monitoring strategy by comprehensively considering the change rate analysis of environmental parameters, the linkage relationship between environmental parameters and the attributes of the monitoring points themselves by obtaining an adaptive monitoring strategy based on the change rate of all parameters, the linkage relationship and the attributes of the monitoring points. Therefore, the present application can effectively avoid the problems of alarm delays and increased accident risks, reduced effectiveness of environmental monitoring due to the inability of fixed monitoring strategies to capture this rapid deterioration trend in time, and shortened sensor service life, increased maintenance costs, and reduced overall system operating efficiency and resource utilization due to the use of high-frequency monitoring strategies when the cable trench environment remains stable for a long time, thereby effectively improving the timeliness and effectiveness of environmental monitoring as well as the system's operating efficiency and resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A flowchart of a cable trench environment monitoring method provided in an embodiment of the present application.

[0014] Figure 2 A schematic structural diagram of a cable trench environment monitoring system provided in an embodiment of the present application.

[0015] Reference numerals: 1. parameter change rate acquisition module; 2. monitoring point attribute acquisition module; 3. linkage analysis module; 4. monitoring strategy adjustment module. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work fall within the scope of protection of the present application.

[0017] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.

[0018] First, as Figure 1 As shown, the present application provides a cable trench environment monitoring method, which includes the following steps: S1. Obtain the monitoring point identifier and environmental parameter data set of the monitoring point, and then calculate the change rate of each environmental parameter flow in the environmental parameter data set within a preset time window to obtain the parameter change rate corresponding to each environmental parameter flow; S2. Obtaining pre-set monitoring point attributes according to the monitoring point identifier; S3. When there is a parameter change rate greater than a preset change rate threshold, analyzing the linkage relationship between each environmental parameter flow according to all parameter change rates and preset parameter linkage rules; S4. Obtain an adaptive monitoring strategy based on all parameter change rates, linkage relationships, and monitoring point attributes, and then apply the adaptive monitoring strategy to the monitoring point. The adaptive monitoring strategy is used to adjust the monitoring parameters of the monitoring point.

[0019] Among them, the monitoring point identifier of this embodiment is a mark or code used to uniquely identify a specific monitoring position in the cable trench. The monitoring point identifier can be implemented in various forms. For example, the monitoring point identifier can be a unique string code (such as "TrenchA-SecB-PointC", where "TrenchA" represents the cable trench number, "SecB" represents the section number in the trench, and "PointC" represents the specific monitoring point number in the section) or a hierarchical digital code (such as "010203", where the first digit "01" represents the trench number, the second digit "02" represents the section number, and the third digit "03" represents the monitoring point number). The environmental parameter data set of this embodiment is a set of monitoring data used to describe the internal environmental state of the cable trench. The environmental parameter data set includes data streams collected in real time by different types of sensors. For example, the environmental parameter data set includes a temperature data stream collected by a temperature sensor and a humidity data stream collected by a humidity sensor. This embodiment can provide basic information for analyzing the trench environmental state by obtaining the environmental parameter data set of the monitoring point. The environmental parameter stream of this embodiment is a series of data points for the change of a specific environmental parameter (such as temperature and humidity) over time. The environmental parameter stream can be represented as a curve of the environmental parameter with respect to time. The parameter change rate of this embodiment is the speed of the change of the value of the environmental parameter within a preset time window. This embodiment can calculate the change rate of the environmental parameter stream within the preset time window by calculating the ratio of the difference between the start and end times of the time window and the duration of the time window, or by curve fitting the environmental parameter data stream and calculating the slope of the curve within the preset time window. This embodiment can quantify the dynamic change trend of each environmental parameter by calculating the change rate of each environmental parameter stream in the environmental parameter data set within the preset time window. The monitoring point attributes of this embodiment are static or semi-static information related to the monitoring point, such as the location type (main channel, branch channel), importance level, and surrounding environmental characteristics (near gas pipelines, water sources, etc.) of the monitoring point. This embodiment can obtain the pre-set monitoring point attributes based on the monitoring point identifier by querying a pre-built database of identifiers and monitoring point attributes based on the monitoring point identifier. The monitoring point attributes can include information such as the geographical location of the monitoring point, the environmental characteristics of the area in which it is located, the importance level of the monitoring point, and the type of cable installed. This embodiment can provide background information for assessing the impact of environmental changes and formulating targeted strategies by obtaining the monitoring point attributes. The preset change rate threshold of this embodiment is a preset numerical limit used to determine whether the change in environmental parameters has reached a level that requires attention. The preset change rate threshold can be a fixed value. This embodiment can use the preset change rate threshold to filter out normal environmental changes, so that the monitoring strategy adjustment focuses on abnormal environmental changes (environmental changes with excessively large change rates) and avoids unnecessary complex analysis when the environment is stable.The preset parameter linkage rule of this embodiment is preferably a set of regulations or patterns that are pre-established based on the characteristics of the cable trench environment and historical data to describe the correlation between changes in different environmental parameters under specific circumstances. The preset parameter linkage rule defines how other related parameters usually change when one or more environmental parameters undergo specific changes. For example, a rapid increase in temperature may be associated with a rapid decrease in humidity, and an increase in the concentration of a certain harmful gas may be associated with a decrease in oxygen concentration. This embodiment can help the system identify complex environmental anomaly patterns in which multiple parameters change in coordination through the parameter change rate. For example, when the methane concentration change rate is greater than threshold A and the oxygen concentration change rate is less than threshold B, it is determined that a gas leakage event exists; and when the temperature change rate is greater than threshold C and the humidity change rate is less than threshold D, it is determined that a dry warming event exists. The adaptive monitoring strategy of this embodiment is a monitoring scheme dynamically generated according to the change rates of all parameters, linkage relationships and monitoring point attributes. This embodiment can obtain the adaptive monitoring strategy by querying a pre-constructed mapping relationship table of change rate combinations, linkage relationships, monitoring point attributes and monitoring strategies according to all parameter change rates, linkage relationships and monitoring point attributes. This embodiment can also obtain the adaptive monitoring strategy by inputting a pre-trained strategy formulation model according to all parameter change rates, linkage relationships and monitoring point attributes. The strategy formulation model can formulate a suitable monitoring strategy according to the input parameter change rates, linkage relationships and monitoring point attributes. The obtained adaptive monitoring strategy is issued and applied to the corresponding monitoring point to guide the monitoring point to collect and process data according to the new strategy. This embodiment is equivalent to enabling the monitoring system to flexibly adjust the working status according to actual conditions to improve monitoring effectiveness and resource utilization.

[0020] The core innovation of this application is that by obtaining an adaptive monitoring strategy based on the change rate of all parameters, the linkage relationship and the attributes of the monitoring points, the cable trench environment monitoring strategy can be adaptively adjusted by comprehensively considering the change rate analysis of environmental parameters, the linkage relationship between environmental parameters and the attributes of the monitoring points themselves. Therefore, this application can solve the problems of response lag of traditional static monitoring methods when dealing with rapid environmental changes and resource waste when the environment is stable, thereby achieving the beneficial effect of improving monitoring effectiveness and resource utilization.

[0021] Specifically, this method first obtains the identification of the monitoring point and an environmental parameter dataset, and calculates the rate of change of each environmental parameter stream within a preset time window to provide information on dynamic environmental changes. Simultaneously, preset attribute information for the monitoring point is obtained to provide context for subsequent policy adjustments. Next, a determination is made as to whether the parameter change rate exceeds a preset threshold. If so, the linkage relationships between the environmental parameters are analyzed based on the change rates of all environmental parameters and preset linkage rules. This step identifies possible complex environmental anomaly patterns where multiple parameters change in concert. Finally, the calculated parameter change rates, the analyzed linkage relationships, and the obtained monitoring point attributes are combined to generate an adaptive monitoring strategy that matches the current state and characteristics of the monitoring point. This strategy is then applied to the monitoring point to adjust its monitoring parameters. The entire process forms a closed loop: monitoring data -> change analysis -> judgment -> linkage analysis -> policy adjustment -> policy application -> impact on subsequent monitoring. This means that this application can adjust monitoring intensity and focus based on actual environmental changes, thereby achieving optimal resource allocation and timely response to anomalies.

[0022] As a preferred embodiment, the solution of the present application is specifically implemented as follows: Assume that the monitoring point is located in an urban area, where important cables are laid, and the attributes of the monitoring point are "importance level: high" and "surrounding environment: complex". The system continuously obtains the temperature, humidity, methane concentration and water depth data of the monitoring point. Within a preset time window, the system calculates and finds that the rate of change of the water depth has increased and exceeded the preset threshold. At this time, the system analyzes the rate of change of all parameters and the preset parameter linkage rules and finds that the humidity has also increased slightly, and the possibility of a waterlogging incident is high. The system comprehensively considers information such as the increased water depth, the slightly increased humidity, the high importance level of the monitoring point, and the complex surrounding environment to obtain an adaptive monitoring strategy. The adaptive monitoring strategy is: increase the sampling frequency of the water depth sensor and the humidity sensor, lower the water depth alarm threshold, and trigger video surveillance of the area. The adaptive monitoring strategy is issued and applied to the monitoring equipment corresponding to the monitoring point, so that the relevant monitoring equipment adjusts its working mode according to the adaptive monitoring strategy.

[0023] Through the above scheme, the present application solves the problem that traditional fixed strategies cannot capture and respond in time when environmental parameters change rapidly or emergencies occur, thereby effectively improving the timeliness and effectiveness of environmental monitoring. At the same time, the present application solves the resource consumption problem caused by traditional fixed high-frequency sampling strategies when the environment is stable for a long time, reducing sensor energy consumption, communication bandwidth occupancy and data processing burden, thereby effectively improving the system's operating efficiency and resource utilization. In addition, the present application makes policy adjustments targeted and accurate by considering parameter linkage and monitoring point attributes, thereby effectively improving the accuracy of abnormal event judgment.

[0024] In some preferred embodiments, S4 includes: S41. Query a pre-built mapping relationship table of change rate combinations, linkage relationships, monitoring point attributes, and monitoring strategies based on all parameter change rates, linkage relationships, and monitoring point attributes to obtain a preliminary monitoring strategy. S42. Determine the monitoring priority corresponding to each environmental parameter flow based on the change rate and linkage relationship of all parameters; S43. Querying a pre-built mapping relationship table of priority combinations, monitoring strategies, and adjustment strategies based on all monitoring priorities and preliminary monitoring strategies to obtain a first adjustment strategy. S44. Adjust the preliminary monitoring strategy according to the first adjustment strategy to obtain an adaptive monitoring strategy; S45. Apply the adaptive monitoring strategy to the monitoring point.

[0025] The mapping relationship table of change rate combinations, linkage relationships, monitoring point attributes and monitoring strategies in this embodiment is a data structure that stores the correspondence between different input conditions (combinations of parameter change rates, linkage relationships between environmental parameter flows, and attributes of monitoring points) and preliminary monitoring strategies. For example, when the change rate combination is that the temperature change rate of a certain monitoring point exceeds 5 degrees Celsius per minute, the linkage relationship is that the humidity and temperature of the monitoring point rise rapidly synchronously, and the monitoring point attribute is of high importance level, the monitoring strategy is to record the temperature and humidity once per second and start the fan configured in the cable trench for cooling and dehumidification; when the change rate combination is that the temperature change rate of a certain monitoring point is 2 degrees Celsius per minute, the linkage relationship is that the humidity and temperature of the monitoring point rise slowly synchronously, and the monitoring point attribute is of low importance level, the monitoring strategy is to record the temperature and humidity once per second and start the fan configured in the cable trench for cooling and dehumidification, and the monitoring strategy is to record the temperature and humidity every 30 seconds. The monitoring priority of this embodiment is an indicator for quantifying the importance or urgency of different environmental parameter flows under the current environmental conditions. The monitoring priority can be expressed by a numerical level (for example, 1-5 levels), a classification label (for example, high, medium, low) or a relative weight. For example, when the temperature change rate is greater than the humidity change rate, the humidity change rate is greater than the air pressure change rate, there is a strong linkage relationship between temperature and humidity, and the linkage relationship between air pressure and temperature and humidity is weak, the temperature monitoring priority is the highest, and the humidity monitoring priority is between the temperature monitoring priority and the air pressure monitoring priority. The mapping relationship table of priority combinations, monitoring strategies and adjustment strategies in this embodiment is a data structure that stores the correspondence between different input conditions (combinations of monitoring priorities, preliminary monitoring strategies) and adjustment strategies. For example, when the monitoring priority of temperature is the highest, the monitoring priority of humidity is between the monitoring priority of temperature and the monitoring priority of air pressure, and the monitoring strategy is that the sampling interval of temperature is 10s, the sampling interval of humidity is 8s and the sampling interval of air pressure is 12s, the adjustment strategy is to adjust the sampling interval of temperature from 10s to 5s, the sampling interval of humidity from 8s to 7s and the sampling interval of air pressure from 12s to 15s. The first adjustment strategy of this embodiment is a specific instruction or rule set for modifying the preliminary monitoring strategy according to the monitoring priority. The first adjustment strategy can be a parameter modification instruction (for example, increasing the sampling frequency, lowering the alarm threshold), a strategy template or an adjustment coefficient. In this embodiment, adjusting the preliminary monitoring strategy according to the first adjustment strategy is a process of modifying specific parameters or settings in the preliminary monitoring strategy based on the instructions or rules contained in the first adjustment strategy. In this embodiment, policy parameter overlay, policy rule merging, or calculation based on adjustment coefficients can be used to adjust the preliminary monitoring strategy according to the first adjustment strategy.

[0026] Specifically, the method first uses the parameter change rates acquired from monitoring points, the analyzed linkage relationships, and the monitoring point attributes to query a pre-set mapping table to obtain a preliminary monitoring strategy. This preliminary strategy provides a basis for subsequent fine-tuning. The method then further analyzes the parameter change rates and linkage relationships to determine the monitoring priority of each environmental parameter stream in its current state. This step introduces the concept of priority, enabling the system to distinguish the relative importance or urgency of different environmental parameters. The method then queries another pre-set mapping table based on the monitoring priorities and the preliminary monitoring strategy to obtain a first adjustment strategy. This adjustment strategy specifically guides how to modify the preliminary strategy based on parameter priorities. The method then modifies the preliminary monitoring strategy based on this first adjustment strategy to generate a final adaptive monitoring strategy that more fully reflects the priorities of different parameters, for example, implementing more aggressive monitoring measures for high-priority parameters. Finally, the generated adaptive monitoring strategy is distributed and applied to the monitoring points, enabling dynamic adjustment of monitoring parameters. This method utilizes parameter change rate, linkage relationship and monitoring point attributes as basic inputs, and superimposes priority judgment and policy adjustment logic on them, so that the generated adaptive monitoring strategy not only responds to environmental changes, but also performs differentiated processing according to the nature of the changes and the importance of the parameters. For example, when urgent changes occur in key parameters, the monitoring frequency is increased and the alarm threshold is lowered, thereby improving the detection and response speed of abnormal situations and reducing the risk of accidents. Therefore, this embodiment can further improve the timeliness and effectiveness of environmental monitoring and the accuracy of abnormal event judgment.

[0027] In some preferred embodiments, S44 includes: S441. Acquire operating status information of the cable, where the operating status information is used to represent the operating status and operating load of the cable; S442: querying a pre-built mapping relationship table of cable operating status, monitoring strategy, and adjustment strategy based on the operating status information and the preliminary monitoring strategy to obtain a second adjustment strategy; S443: Adjust the preliminary monitoring strategy according to the first adjustment strategy and the second adjustment strategy to obtain an adaptive monitoring strategy.

[0028] The cable operating status information of this embodiment is data reflecting the current operating condition of the cable. This embodiment can obtain this cable operating status information by analyzing current data collected by the current sensor, voltage data collected by the voltage sensor, or load level and operating mode (e.g., operating, shut down, standby) obtained from the power monitoring system. The mapping relationship table of cable operating status, monitoring strategy, and adjustment strategy in this embodiment is a data structure that stores adjustment strategies corresponding to different cable operating status and monitoring strategy combinations. For example, when the cable is in a high-load state, a temperature increase is normal, and the adjustment strategy indicates that the sampling frequency and alarm threshold of the temperature sensor should be fine-tuned or not adjusted. However, when the cable is in a low-load state and the temperature increases abnormally, the adjustment strategy indicates that the sampling frequency of the temperature sensor should be increased and the alarm threshold of the temperature sensor should be lowered. The process and principle of step S443 are the same as those of step S44 above and will not be discussed in detail here.

[0029] Specifically, this solution uses cable operating status information as a basis for adjusting the adaptive monitoring strategy. First, the cable's current operating status information is obtained, reflecting the cable's load and operating mode. This operating status information is then used in conjunction with the preliminary monitoring strategy to query a pre-built mapping table to obtain an adjustment strategy based on the cable's operating status (the second adjustment strategy). Finally, the first adjustment strategy, derived based on the priority of environmental parameter changes, and the second adjustment strategy, derived based on the cable's operating status, are combined with the preliminary monitoring strategy to produce the final adaptive monitoring strategy. This comprehensive adjustment approach ensures that the final monitoring strategy not only responds to the changing trends and urgency of environmental parameters, but also considers the normal impact of the cable's own operating status on environmental parameters, thereby improving the accuracy and rationality of the strategy. This embodiment can more accurately judge the nature of environmental parameter changes and more effectively distinguish parameter fluctuations caused by load changes in normal cable operation from parameter changes caused by abnormal events by taking the key factor of cable operation status into consideration, so as to improve the accuracy of abnormal event judgment and make the adjustment of adaptive monitoring strategies more precise, thereby effectively avoiding the situation where the system's operating efficiency and resource utilization are reduced during normal load changes due to excessive adjustment of monitoring parameters, and abnormal events cannot be identified in time due to insufficient adjustment of monitoring parameters, thereby further improving the timeliness and effectiveness of environmental monitoring and the accuracy of abnormal event judgment.

[0030] In some preferred embodiments, step S443 includes: A1. Obtaining the pre-set monitoring point location information according to the monitoring point identifier, and then obtaining the real-time meteorological data of the area where the monitoring point is located according to the monitoring point location information; A2. Querying a pre-built mapping relationship table of real-time meteorological data, monitoring strategies, and adjustment strategies based on the real-time meteorological data and the preliminary monitoring strategy to obtain a third adjustment strategy; A3. Adjust the preliminary monitoring strategy according to the first adjustment strategy, the second adjustment strategy, and the third adjustment strategy to obtain an adaptive monitoring strategy.

[0031] The monitoring point location information of this embodiment is data used to describe the geographic location of the monitoring point. This monitoring point location information can be represented by latitude and longitude coordinates, an area code, or detailed address information. This embodiment can obtain the pre-set monitoring point location information based on the monitoring point identifier by querying a pre-built mapping relationship table between the monitoring point identifier and the monitoring point location based on the monitoring point identifier. The real-time meteorological data of this embodiment is the meteorological condition data of the area where the monitoring point is located at the current time or in the recent period. The real-time meteorological data may include parameters such as temperature, humidity, rainfall, wind speed, or air pressure. This embodiment can obtain real-time meteorological data by querying the meteorological data released by the astronomical meteorological observatory in the area where the monitoring point is located based on the monitoring point location information. The mapping relationship table of real-time meteorological data, monitoring strategies and adjustment strategies in this embodiment is a data structure that stores adjustment strategies corresponding to different combinations of real-time meteorological data and monitoring strategies. For example, when the real-time meteorological data indicates high temperature weather and the monitoring strategy indicates a low temperature sampling frequency, the adjustment strategy indicates increasing the frequency of the temperature sensor; when it is rainy weather and the monitoring strategy indicates a low water depth sampling frequency, the adjustment strategy indicates increasing the water depth monitoring frequency (for example, when the real-time meteorological data indicates heavy rainfall and the water depth sampling interval in the preliminary monitoring strategy is greater than 30 minutes, the third adjustment strategy is to shorten the water depth sampling interval to 10 minutes).

[0032] First, the system determines the location of the monitoring point based on its identifier and obtains real-time meteorological data for that location. This process provides important external environmental input for subsequent strategy adjustments. This real-time meteorological data directly reflects the external environment of the monitoring point, such as high temperature, high humidity, or heavy rainfall. These meteorological conditions have a direct or indirect impact on changes in environmental parameters within the cable trench (such as temperature, humidity, and water depth). Next, in step A2, the system uses the obtained real-time meteorological data and the preliminary monitoring strategy to query a pre-constructed mapping table to obtain a third adjustment strategy. This mapping table pre-determines the rules for how to adjust different preliminary monitoring strategies under different meteorological conditions. In other words, this embodiment can, through step A2, convert the impact of external meteorological factors into specific strategy adjustment recommendations. Finally, in step A3, the system combines all the obtained adjustment strategies (adjustment strategy based on priority (first adjustment strategy), adjustment strategy based on cable operation status (second adjustment strategy), and adjustment strategy based on real-time meteorological data (third adjustment strategy)) to make a final correction to the preliminary monitoring strategy to obtain a more comprehensive, accurate and robust adaptive monitoring strategy, that is, the adaptive monitoring strategy of this embodiment can more effectively cope with the complex changes in the internal and external environment of the cable trench, thereby effectively improving the timeliness and effectiveness of monitoring and avoiding unnecessary waste of resources. This embodiment can make the adaptive monitoring strategy better predict and respond to potential risks brought about by changes in the external environment by incorporating external meteorological conditions into the scope of consideration for strategy adjustment, thereby effectively improving the adaptability and robustness of cable trench environment monitoring.

[0033] In some preferred embodiments, step S2 includes: S21. Obtain real-time meteorological data for the area where the monitoring point is located, and obtain pre-set monitoring point attributes according to the monitoring point identifier; S22. Determine a preset change rate threshold based on real-time meteorological data and monitoring point attributes.

[0034] The process of obtaining the real-time meteorological data of the area where the monitoring point is located in step S21 is preferably the same as the process of obtaining the real-time meteorological data of the area where the monitoring point is located in step A1. This embodiment can determine the preset change rate threshold by querying a pre-constructed mapping relationship table of meteorological data, monitoring point attributes and change rate threshold according to the real-time meteorological data and the monitoring point attributes. The mapping relationship table can be: when the monitoring point attribute is that the monitoring point is in the main channel of the cable channel and the real-time meteorological data is heavy rainfall, the change rate threshold corresponding to the water accumulation depth is 3m / s; when the monitoring point attribute is that the monitoring point is in the main channel of the cable channel and the real-time meteorological data is high temperature and sunny, the change rate threshold corresponding to the water accumulation depth is 0.5m / s. This embodiment can also determine the preset change rate threshold by inputting the real-time meteorological data and the monitoring point attributes into a pre-trained change rate threshold setting model. The change rate threshold setting model can formulate a suitable change rate threshold based on the input change rate threshold setting model.

[0035] Specifically, this method integrates real-time external conditions (weather) and internal characteristics (monitoring point attributes) into the threshold determination process to address the problem of using static thresholds to accurately trigger linkage analysis. This method first obtains real-time meteorological data for the area where the monitoring point is located and the attributes of the monitoring point itself. These two types of information reflect the current environmental context and the inherent characteristics of the monitoring point. Next, a preset rate of change threshold is determined based on the real-time meteorological data and monitoring point attributes. In this embodiment, the preset rate of change threshold is not a fixed value but rather dynamically adjusted based on current meteorological conditions and monitoring point characteristics. For example, during a heat wave, a higher temperature change rate may be considered normal, resulting in a higher temperature rate of change threshold. In channels with specific ventilation properties, rainfall can cause humidity fluctuations, resulting in a higher humidity rate of change threshold. Finally, this method dynamically adjusts the preset rate of change threshold based on current meteorological conditions and monitoring point characteristics as a trigger for linkage analysis. This reduces false alarms triggered by normal environmental fluctuations exceeding the static threshold and increases the likelihood that the triggered correlation analysis corresponds to actual abnormal conditions. This method effectively improves the accuracy and relevance of linkage analysis, enabling more effective abnormality identification and more valuable adaptive monitoring strategy adjustments. This embodiment can adapt the preset change rate threshold to the specific environmental background and location characteristics by determining the preset change rate threshold based on real-time meteorological data and monitoring point attributes. Therefore, this embodiment can reduce the situation where false alarms are triggered by normal environmental fluctuations that may exceed the static threshold and help detect abnormal changes that may be masked by the static threshold but are significant under specific conditions, thereby further improving the timeliness and effectiveness of environmental monitoring and the accuracy of abnormal event judgment.

[0036] In some preferred embodiments, step S22 includes: S221. For each parameter change rate, determine a preset change rate threshold corresponding to the parameter change rate according to the type of the corresponding environmental parameter flow, real-time meteorological data, and monitoring point attributes.

[0037] The type of the environmental parameter stream in this embodiment is a data sequence of different types of environmental parameters collected by the monitoring system, such as a temperature data stream, a humidity data stream, a gas concentration data stream (such as methane concentration, hydrogen sulfide concentration), or a water depth data stream. This embodiment can obtain the type of the environmental parameter stream by presetting a parameter type identifier during system initialization and referencing the identifier when processing the corresponding data. This embodiment can determine the preset change rate threshold corresponding to the parameter change rate by querying a pre-built mapping relationship table of the type of environmental parameter stream, meteorological data, monitoring point attributes, and change rate threshold based on the type of environmental parameter stream corresponding to the parameter change rate, real-time meteorological data, and monitoring point attributes. The mapping relationship table stores a data structure of different parameter stream types, meteorological data, and monitoring point attributes and their corresponding change rate thresholds. For example, for the methane concentration change rate, the change rate threshold under high temperature, low pressure, and monitoring point attributes indicating the presence of a gas pipeline network is lower than the change rate threshold under low temperature, high pressure, and monitoring point attributes indicating the absence of a potential gas source in the surrounding area; for the temperature change rate, the change rate threshold under high temperature in summer and poor ventilation indicated by the monitoring point attributes is higher than the change rate threshold under low temperature and good ventilation in winter.

[0038] Specifically, the scheme incorporates external environmental factors into the consideration of threshold determination by obtaining real-time meteorological data of the area where the monitoring point is located. Then, for each specific rate of change of environmental parameters calculated by the monitoring system, the scheme will determine a specific preset rate of change threshold for it. When determining this specific threshold, the method will comprehensively consider the type of environmental parameter flow to which the rate of change belongs, the real-time meteorological data and the attributes of the monitoring point itself, that is, the method is equivalent to tailoring a preset rate of change threshold for each parameter change rate to more accurately distinguish normal fluctuations from potential abnormal situations, thereby improving the accuracy of abnormal change detection and providing a more reliable input basis for subsequent linkage analysis based on parameter change rate and linkage rules and adjustment of adaptive monitoring strategies. Through the above scheme, the present application can determine more targeted and accurate preset rate of change thresholds for different types of environmental parameter flows based on real-time meteorological data and monitoring point attributes. Therefore, this embodiment can effectively improve the accuracy of abnormal change detection, effectively reduce the occurrence of false alarms and missed alarms, and enable subsequent linkage analysis and adaptive monitoring strategy adjustments to be based on more reliable information, thereby improving the overall performance and reliability of the cable trench environment monitoring system.

[0039] In some preferred embodiments, step S1 includes: S11, obtaining a monitoring point identifier and an environmental parameter data set of the monitoring point; S12, preprocessing the environmental parameter data set; S13. Calculate the change rate of each environmental parameter flow in the environmental parameter data set within a preset time window to obtain the parameter change rate corresponding to each environmental parameter flow.

[0040] The preprocessing of this embodiment is a data quality improvement operation performed on the original environmental parameter data set, which can be filtering, smoothing, interpolation, and outlier detection and correction. This embodiment can effectively reduce the influence of noise, outliers, and incompleteness in the original environmental parameter data set on the change rate calculation by adding a data preprocessing step before calculating the environmental parameter change rate. Therefore, this embodiment can make the obtained parameter change rate more accurate and reliable, providing high-quality input data for subsequent environmental parameter linkage relationship analysis and the formulation of adaptive monitoring strategies, so that the system can more accurately perceive environmental changes and promptly discover potential risks, thereby effectively improving the accuracy and reliability of cable trench environment monitoring.

[0041] In some preferred embodiments, the environmental parameter stream includes a temperature data stream, a humidity data stream, a gas concentration data stream, and a water depth data stream. The temperature data stream in this embodiment is a sequence of temperature values ​​collected at different time points within the cable trench. This embodiment can utilize a thermistor, thermocouple, or infrared temperature sensor to collect temperature data. The humidity data stream in this embodiment is a sequence of relative or absolute humidity values ​​collected at different time points within the cable trench. This embodiment can utilize a capacitive humidity sensor, a resistive humidity sensor, or a dew point sensor to collect humidity data. The gas concentration data stream in this embodiment is a sequence of concentration values ​​of specific gases (e.g., oxygen, methane, hydrogen sulfide, carbon monoxide, etc.) collected at different time points within the cable trench. This embodiment can utilize an electrochemical sensor, a catalytic combustion sensor, an infrared gas sensor, or a semiconductor gas sensor to collect gas concentration data. The water depth data stream in this embodiment is a sequence of water depth values ​​collected at different time points within the cable trench. This embodiment can utilize an ultrasonic water level sensor, a static pressure water level sensor, or a float-type water level sensor to collect water depth data.

[0042] In some preferred embodiments, the adaptive monitoring strategy includes sampling frequencies, operating modes, and alarm thresholds for different sensors. The sampling frequency of this embodiment is the rate at which the sensor collects environmental parameter data, and the sampling frequency can be expressed in units such as acquisition times per second, acquisition times per minute, or acquisition times per hour. The operating mode of this embodiment is the operating state of the sensor, and the operating mode can include different states such as full-function mode, low-power mode, standby mode, and sleep mode. The alarm threshold of this embodiment is the numerical limit of the environmental parameter used to trigger the alarm signal, and the alarm threshold can be set to an upper limit, a lower limit, or a numerical range according to the parameter type.

[0043] From the above, it can be seen that the cable trench environment monitoring method provided by the present application can realize adaptive adjustment of the cable trench environment monitoring strategy by comprehensively considering the change rate analysis of environmental parameters, the linkage relationship between environmental parameters and the attributes of the monitoring points themselves by obtaining an adaptive monitoring strategy based on the change rate of all parameters, the linkage relationship and the attributes of the monitoring points. Therefore, the present application can effectively avoid the problems of alarm delays and increased accident risks, reduced effectiveness of environmental monitoring due to the inability of fixed monitoring strategies to capture this rapid deterioration trend in time, and shortened sensor service life, increased maintenance costs, and reduced overall system operating efficiency and resource utilization due to the use of high-frequency monitoring strategies when the cable trench environment remains stable for a long time, thereby effectively improving the timeliness and effectiveness of environmental monitoring as well as the system's operating efficiency and resource utilization.

[0044] Second, as Figure 2 As shown, the present application also provides a cable channel environment monitoring system, which includes: Parameter change rate acquisition module 1 is used to obtain the monitoring point identifier and environmental parameter data set of the monitoring point, and then calculate the change rate of each environmental parameter flow in the environmental parameter data set within a preset time window to obtain the parameter change rate corresponding to each environmental parameter flow; Monitoring point attribute acquisition module 2, used to obtain preset monitoring point attributes according to the monitoring point identifier; Linkage analysis module 3, for analyzing the linkage relationship between various environmental parameter flows according to all parameter change rates and preset parameter linkage rules when there is a parameter change rate greater than a preset change rate threshold; The monitoring strategy adjustment module 4 is used to obtain an adaptive monitoring strategy based on all parameter change rates, linkage relationships and monitoring point attributes, and then apply the adaptive monitoring strategy to the monitoring point. The adaptive monitoring strategy is used to adjust the monitoring parameters of the monitoring point.

[0045] A cable trench environment monitoring system provided in the present application includes a parameter change rate acquisition module 1, a monitoring point attribute acquisition module 2, a linkage analysis module 3 and a monitoring strategy adjustment module 4. The cable trench environment monitoring system provided in this embodiment is used to execute the steps in the cable trench environment monitoring method provided in the first aspect above. The principle of the cable trench environment monitoring system provided in this embodiment is the same as the principle of the cable trench environment monitoring method provided in the first aspect above, and will not be discussed in detail here.

[0046] From the above, it can be seen that the cable trench environment monitoring method and system provided by the present application can realize adaptive adjustment of the cable trench environment monitoring strategy by comprehensively considering the change rate analysis of environmental parameters, the linkage relationship between environmental parameters and the attributes of the monitoring points themselves by obtaining an adaptive monitoring strategy based on the change rate of all parameters, the linkage relationship and the attributes of the monitoring points. Therefore, the present application can effectively avoid the problems of alarm delays and increased accident risks, reduced effectiveness of environmental monitoring due to the inability of fixed monitoring strategies to capture this rapid deterioration trend in time, and shortened sensor service life, increased maintenance costs, and reduced overall system operating efficiency and resource utilization due to the use of high-frequency monitoring strategies when the cable trench environment remains stable for a long time, thereby effectively improving the timeliness and effectiveness of environmental monitoring as well as the system's operating efficiency and resource utilization.

[0047] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the above-mentioned units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another robot, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.

[0048] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0049] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any actual relationship or order between these entities or operations.

[0050] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A cable channel environment monitoring method, characterized in that: The cable trench environment monitoring method comprises the following steps: S1. Obtain a monitoring point identifier and an environmental parameter data set of a monitoring point, and then calculate the change rate of each environmental parameter flow in the environmental parameter data set within a preset time window to obtain the parameter change rate corresponding to each environmental parameter flow; S2. Acquire preset monitoring point attributes according to the monitoring point identifier; S3. When there is a parameter change rate greater than a preset change rate threshold, analyzing the linkage relationship between each of the environmental parameter flows according to all the parameter change rates and the preset parameter linkage rule; S4. Acquire an adaptive monitoring strategy based on all the parameter change rates, the linkage relationship, and the monitoring point attributes, and then apply the adaptive monitoring strategy to the monitoring point, where the adaptive monitoring strategy is used to adjust the monitoring parameters of the monitoring point.

2. The cable trench environment monitoring method according to claim 1, characterized in that: Step S4 includes: S41, querying a pre-built mapping relationship table of change rate combinations, linkage relationships, monitoring point attributes, and monitoring strategies based on all the parameter change rates, the linkage relationships, and the monitoring point attributes to obtain a preliminary monitoring strategy; S42, determining the monitoring priority corresponding to each of the environmental parameter flows according to all the parameter change rates and the linkage relationship; S43. Querying a pre-built mapping relationship table of priority combinations, monitoring strategies, and adjustment strategies based on all the monitoring priorities and the preliminary monitoring strategy to obtain a first adjustment strategy; S44. Adjust the preliminary monitoring strategy according to the first adjustment strategy to obtain an adaptive monitoring strategy; S45: Apply the adaptive monitoring strategy to the monitoring point.

3. The cable trench environment monitoring method according to claim 2, characterized in that: Step S44 includes: S441. Acquire operating status information of the cable, where the operating status information is used to represent the operating status and operating load of the cable; S442: querying a pre-built mapping relationship table of cable operating status, monitoring strategy, and adjustment strategy according to the operating status information and the preliminary monitoring strategy to obtain a second adjustment strategy; S443: Adjust the preliminary monitoring strategy according to the first adjustment strategy and the second adjustment strategy to obtain an adaptive monitoring strategy.

4. The cable trench environment monitoring method according to claim 3, characterized in that: Step S443 includes: A1. Obtaining pre-set monitoring point location information according to the monitoring point identifier, and then obtaining real-time meteorological data of the area where the monitoring point is located according to the monitoring point location information; A2. Querying a pre-built mapping relationship table of real-time meteorological data, monitoring strategies, and adjustment strategies based on the real-time meteorological data and the preliminary monitoring strategy to obtain a third adjustment strategy; A3. Adjust the preliminary monitoring strategy according to the first adjustment strategy, the second adjustment strategy, and the third adjustment strategy to obtain an adaptive monitoring strategy.

5. The cable trench environment monitoring method according to claim 1, characterized in that: Step S2 includes: S21, obtaining real-time meteorological data of the area where the monitoring point is located, and obtaining pre-set monitoring point attributes according to the monitoring point identifier; S22. Determine a preset change rate threshold according to the real-time meteorological data and the monitoring point attributes.

6. The cable trench environment monitoring method according to claim 5, characterized in that: Step S22 includes: S221. For each parameter change rate, determine a preset change rate threshold corresponding to the parameter change rate according to the type of the corresponding environmental parameter flow, the real-time meteorological data, and the monitoring point attributes.

7. The cable trench environment monitoring method according to claim 1, characterized in that: Step S1 includes: S11, obtaining a monitoring point identifier and an environmental parameter data set of the monitoring point; S12, preprocessing the environmental parameter data set; S13. Calculate the change rate of each of the environmental parameter flows in the environmental parameter data set within a preset time window to obtain the parameter change rate corresponding to each of the environmental parameter flows.

8. The cable trench environment monitoring method according to claim 1, characterized in that: The environmental parameter stream includes a temperature data stream, a humidity data stream, a gas concentration data stream and a water depth data stream.

9. The cable trench environment monitoring method according to claim 1, characterized in that: The adaptive monitoring strategy includes sampling frequency, working mode and alarm threshold of different sensors.

10. A cable channel environment monitoring system, characterized in that: The cable channel environment monitoring system includes: A parameter change rate acquisition module is used to obtain a monitoring point identifier and an environmental parameter data set of a monitoring point, and then calculate the change rate of each environmental parameter flow in the environmental parameter data set within a preset time window to obtain the parameter change rate corresponding to each environmental parameter flow; A monitoring point attribute acquisition module, configured to acquire preset monitoring point attributes according to the monitoring point identifier; A linkage analysis module, configured to analyze the linkage relationship between the environmental parameter flows according to all the parameter change rates and preset parameter linkage rules when there is a parameter change rate greater than a preset change rate threshold; The monitoring strategy adjustment module is used to obtain an adaptive monitoring strategy based on the change rates of all the parameters, the linkage relationship and the monitoring point attributes, and then apply the adaptive monitoring strategy to the monitoring point, and the adaptive monitoring strategy is used to adjust the monitoring parameters of the monitoring point.

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