Water pressure real-time monitoring system for outdoor fire hydrant

Abstract

The invention discloses an outdoor fire hydrant water pressure real-time monitoring system, and relates to the technical field of fire fighting. When the system operates, a data acquisition and preprocessing module performs efficient fusion of multi-source data, and provides accurate water pressure data Px (t); the correlation analysis module evaluates the relationship between adjacent fire hydrants by using the geographic position data and the correlation coefficient, and can discover potential risks in time and generate an early warning identifier; the anomaly detection and evaluation module dynamically analyzes the water pressure data and the early warning identifier to provide an accurate fire hydrant anomaly risk evaluation strategy scheme; the path analysis module accurately judges an abnormal propagation path by analyzing the abnormal index gradient Gxy (t) of the adjacent fire hydrants, and reveals a potential regional problem; according to the method, the effective regional exception handling strategy is generated and executed immediately, the response speed and the decision-making ability are enhanced, and particularly, when regional or systematic problems are handled, early warning can be performed in advance, and optimal countermeasures can be taken.

Description

Technical Field

[0001] The invention relates to the technical field of fire fighting, and in particular to a real-time monitoring system for water pressure of an outdoor fire hydrant. Background Art

[0002] In the urban water supply system, fire hydrants are an important part of emergency water supply, and their water pressure monitoring is crucial to ensuring urban safety. Specifically, by real-time monitoring of the water pressure data of fire hydrants, it is ensured that the fire hydrants can operate normally in an emergency and provide sufficient water pressure to support fire extinguishing needs.

[0003] In the current fire hydrant water pressure monitoring, although there are some automated monitoring methods, these methods mostly monitor the water pressure data of a single fire hydrant in isolation, and fail to fully consider the correlation between adjacent fire hydrants. This limitation makes it difficult to timely and comprehensively assess whether the abnormality will affect other fire hydrants, or determine whether the abnormality is a potential problem for the entire regional water supply system when a fire hydrant has abnormal water pressure. Therefore, when dealing with complex water supply network problems, the existing system has shortcomings such as untimely warning and inaccurate abnormality positioning.

[0004] When the abnormal water pressure of adjacent fire hydrants is not identified and correlated in time, the discovery and resolution of the problem may be delayed, especially when systemic problems (such as pipe ruptures or large-scale leaks) occur, multiple fire hydrants may fail in succession, resulting in a significant drop in emergency water supply capacity. In addition, the lack of correlation analysis may also make it impossible for maintenance personnel to accurately determine the propagation path of the problem, increasing the complexity and time cost of maintenance. These situations will eventually pose a serious threat to urban fire safety and affect the effectiveness of emergency response. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a real-time monitoring system for water pressure of an outdoor fire hydrant, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a real-time monitoring system for water pressure of outdoor fire hydrants, including a data acquisition and preprocessing module, a correlation analysis module, an anomaly detection and evaluation module, a path analysis module and a feedback decision module;

[0007] The data acquisition and preprocessing module installs a water pressure sensor on the fire hydrant to collect real-time water pressure data, real-time flow rate data and water pressure fluctuation amplitude data at a fixed period, and simultaneously performs multi-source data preprocessing and fusion to obtain water pressure data P x (t);

[0008] The correlation analysis module obtains the geographical location data L of the fire hydrant oc, and matches it with the preset proximity evaluation threshold LZ to obtain the fire hydrant proximity relationship evaluation result, and simultaneously converts the water pressure data P x (t) is divided into fixed time windows T and the water pressure correlation coefficient R of adjacent fire hydrants is calculated xy (t), and matches it with the preset water pressure related assessment threshold RZ to obtain the adjacent fire hydrant water pressure fluctuation assessment result and generate the corresponding warning mark W xy ;

[0009] The anomaly detection evaluation module calculates the water pressure correlation coefficient R xy (t), warning sign W xy And water pressure data P x (t) Evaluate the dynamic state of the fire hydrant and obtain the abnormal index E x (t), and matches it with the preset fire hydrant abnormality assessment threshold Yz to obtain the fire hydrant abnormality risk assessment strategy;

[0010] The path analysis module is based on the abnormal index E x (t) and the geographical location data of the fire hydrant L oc Obtain the abnormal index gradient G of adjacent fire hydrants xy (t), and match it with the fire hydrant anomaly gradient propagation threshold CZ to obtain the fire hydrant propagation evaluation result, and obtain the anomaly index gradient propagation path D by statistically analyzing the fire hydrant propagation evaluation result path (t);

[0011] The feedback decision module is based on the abnormal index gradient propagation path D path (t), abnormal index E x (t) and the anomaly index gradient G xy (t) Conduct statistical analysis to obtain the fire hydrant area anomaly assessment strategy plan, and carry out specific implementation and notification based on the content of the fire hydrant area anomaly assessment strategy plan.

[0012] Preferably, the data acquisition and preprocessing module includes a data acquisition unit and a data fusion unit;

[0013] The data acquisition unit collects real-time water pressure data, real-time flow rate data and water pressure fluctuation amplitude data at a fixed period by installing water pressure sensors on fire hydrants, including water pressure sensors and flow sensors, and marks them as real-time water pressure data P sx (t), real-time flow rate data F x (t) and water pressure fluctuation amplitude data P ax (t), synchronize the real-time flow rate data F x (t) is converted into flow velocity water pressure data P affected by flow velocity fx (t);

[0014] The data fusion unit simultaneously performs multi-source data preprocessing and fusion to obtain water pressure data P x (t) Preprocessing includes water pressure data P x (t) Perform standardization preprocessing and outlier removal preprocessing.

[0015] Preferably, the flow rate and water pressure data P fx (t) is converted and obtained through the following calculation formula:

[0016] ;

[0017] In the formula, Represents the conversion coefficient, which is specifically used to adjust the linear relationship between flow rate and water pressure;

[0018] The water pressure data P x (t) is obtained by the following calculation formula:

[0019] ;

[0020] Where w1, w2 and w3 represent the real-time water pressure data P sx (t), flow rate and water pressure data P fx (t) and water pressure fluctuation amplitude data P ax The preset weight value of (t).

[0021] Preferably, the correlation analysis module includes a proximity relationship evaluation unit and a water pressure correlation analysis unit;

[0022] The proximity relationship evaluation unit obtains the geographical location data L of the fire hydrant. oc , matches the preset proximity evaluation threshold LZ, through Calculation formula to obtain the distance d between adjacent fire hydrants xy , where L oc,x and L oc,y Respectively represent the geographical location data of fire hydrant x and fire hydrant y, and obtain the fire hydrant proximity relationship evaluation result through;

[0023] The fire hydrant proximity assessment results are obtained by Matching method acquisition;

[0024] When the return result is 1, mark fire hydrant x and fire hydrant y as adjacent;

[0025] When the return result is 0, mark fire hydrant x and fire hydrant y as not being adjacent;

[0026] The water pressure correlation analysis unit converts the water pressure data P x(t) is divided into fixed time windows T and the water pressure correlation coefficient R of adjacent fire hydrants is calculated xy (t), and matches it with the preset water pressure related assessment threshold RZ to obtain the adjacent fire hydrant water pressure fluctuation assessment result and generate the corresponding warning mark W xy ;

[0027] The adjacent fire hydrant water pressure fluctuation assessment results are Matching method acquisition;

[0028] When the return result is 1, the result without exception is obtained, and the warning mark without warning is generated, and the warning mark W is synchronously set. xy Marked as 1;

[0029] When the return result is 0, the abnormal result is obtained, a warning mark is generated, and the warning mark W is set synchronously xy The geographical location data L marked as 0 and the fire hydrant oc .

[0030] Preferably, the water pressure correlation coefficient R xy (t) is obtained by the following calculation formula:

[0031] ;

[0032] In the formula, and represents the average water pressure of fire hydrant x and fire hydrant y in time window T1 and time window T2 respectively, P x (t) and P y (t) represent the water pressure data of fire hydrant x and fire hydrant y at time t respectively.

[0033] Preferably, the anomaly detection and evaluation module includes a dynamic evaluation unit;

[0034] The dynamic evaluation unit calculates the water pressure correlation coefficient R xy (t), warning sign W xy And water pressure data P x (t) Evaluate the dynamic state of the fire hydrant and obtain the abnormal index E x (t), and match it with the preset fire hydrant abnormality assessment threshold Yz to obtain the fire hydrant abnormality risk assessment strategy;

[0035] The fire hydrant abnormal risk assessment strategy program is adopted Matching method acquisition:

[0036] When the return result is 1, the risk result is obtained and a fire hydrant abnormality risk plan is generated, including an interactive page warning prompt and notifications to relevant inspection personnel, and a warning sign W of the abnormal fire hydrant location is displayed simultaneously. xy , water pressure correlation coefficient R xy (t) and water pressure data P x (t) information;

[0037] When the return result is 0, a risk-free result is obtained and no fire hydrant abnormal risk plan is generated.

[0038] Preferably, the abnormal index E x (t) is obtained by the following calculation formula:

[0039] ;

[0040] In the formula, Reflects the impact of reduced water pressure correlation on anomalies, Indicates the degree of deviation of the current water pressure data from the average water pressure. represents the standard deviation, , and Respectively represent the preset weight values, ,and , , .

[0041] Preferably, the path analysis module includes a gradient calculation unit and a path statistics unit;

[0042] The gradient calculation unit is based on the abnormal index E x (t) and the geographical location data of the fire hydrant L oc Obtain the abnormal index gradient G of adjacent fire hydrants xy (t);

[0043] The abnormal index gradient G xy (t) is obtained by the following calculation formula:

[0044] ;

[0045] In the formula, and They represent the abnormal index of fire hydrant x and fire hydrant y at time t respectively;

[0046] The path statistics unit converts the abnormal index gradient G xy (t) is matched with the fire hydrant anomaly gradient propagation threshold CZ to obtain the fire hydrant propagation evaluation result, and the anomaly index gradient propagation path D is obtained by statistically analyzing the fire hydrant propagation evaluation result. path (t);

[0047] The fire hydrant propagation assessment results were Matching method acquisition:

[0048] When the return result is 1, the abnormal propagation result of fire hydrant x and fire hydrant y is obtained;

[0049] When the return result is 0, the abnormal propagation result of obtaining fire hydrant x and fire hydrant y does not exist.

[0050] Preferably, the abnormal exponential gradient propagation path D path (t) is obtained by the following calculation formula:

[0051] ;

[0052] In the formula, represents an exponential function, when When the value is 1, it indicates that abnormal propagation exists. represents the propagation direction from fire hydrant x to fire hydrant y, where When the value is 1, it means that abnormal propagation, judgment and marking exist. The propagation direction of fire hydrant x to fire hydrant y is A value of 0 indicates that there is no abnormal propagation. Fire hydrant x is not in the direction of propagation of fire hydrant y and is not marked.

[0053] Preferably, the feedback decision module is based on the abnormal index gradient propagation path D path (t), abnormal index E x (t) and the anomaly index gradient G xy (t) Perform statistical analysis to obtain the comprehensive index S(t) of abnormal indicators, match it with the preset regional abnormal assessment index threshold QZ, obtain the fire hydrant regional abnormal assessment strategy plan, and perform specific execution and notification according to the content of the fire hydrant regional abnormal assessment strategy plan;

[0054] The abnormal index comprehensive index S(t) is obtained by the following calculation formula:

[0055] ;

[0056] Where s1, s2 and s3 represent preset weight values, and , , , ;

[0057] The fire hydrant area anomaly assessment strategy is obtained by the following matching method:

[0058] When the abnormal index comprehensive index S(t) is less than the regional abnormal assessment index threshold QZ, the fire hydrant water pressure monitoring assessment in the current area has no abnormal assessment results;

[0059] When the comprehensive index of abnormal indicators S(t) ≥ the regional abnormal assessment index threshold QZ, the abnormal assessment results of the fire hydrant water pressure monitoring and assessment in the current area are obtained, and the fire hydrant regional abnormal strategy plan is generated, including adjusting the fire hydrant water pressure, prompting the abnormal fire hydrant location and prompting relevant inspection personnel to conduct inspections.

[0060] The present invention provides a real-time monitoring system for water pressure of outdoor fire hydrants, which has the following beneficial effects:

[0061] (1) When the system is running, it realizes real-time monitoring and intelligent evaluation of outdoor fire hydrant water pressure, effectively solving the shortcomings of traditional systems in anomaly detection, correlation analysis and decision feedback. The data acquisition and preprocessing module ensures the efficient integration of multi-source data and provides accurate water pressure data. x (t); The correlation analysis module uses geographic location data and correlation coefficients to evaluate the relationship between adjacent fire hydrants, which can timely detect potential risks and generate warning signs; the anomaly detection and evaluation module provides an accurate fire hydrant anomaly risk assessment strategy by dynamically analyzing water pressure data and warning signs; the path analysis module analyzes the anomaly index gradient G of adjacent fire hydrants xy (t), accurately determine the propagation path of the anomaly, revealing potential regional problems; generate effective regional anomaly handling strategies and execute them immediately. This modular design not only improves the accuracy of anomaly detection, but also enhances the system's response speed and decision-making ability, especially when dealing with regional or systemic problems, it can provide early warning and take the best response measures.

[0062] (2) Through geographic location data L oc Correlation coefficient R xy (t), accurately evaluate the relationship between adjacent fire hydrants and water pressure fluctuations, effectively identify potential anomalies and generate early warning signs to ensure that abnormal situations can be discovered and handled in a timely manner. Secondly, comprehensively analyze the water pressure correlation coefficient R xy (t), warning sign W xy And water pressure data P x (t), generating the anomaly index E x (t) and matches the preset threshold, so as to formulate an accurate fire hydrant abnormal risk assessment strategy. The response speed and processing capability in abnormal conditions are significantly improved. It can not only accurately locate and assess the risk of fire hydrant abnormalities, but also ensure that patrol personnel can respond in time through automated early warning and notification mechanisms.

[0063] (3) By calculating the abnormal index gradient propagation path D between adjacent fire hydrantspath (t), thereby obtaining the abnormal propagation path of the fire hydrant, which enables the system to clearly identify the direction of abnormal propagation and accurately locate the source of the problem. The feedback decision module comprehensively analyzes and calculates the comprehensive index of abnormal indicators S (t) based on the propagation path, abnormal index and its gradient, and combines the preset threshold to generate a fire hydrant area abnormal assessment strategy plan and guide subsequent response measures. It can quickly identify and locate the abnormal propagation path, and can also formulate targeted adjustment measures through accurate abnormal assessment, thereby greatly improving the system's ability to respond to complex and changeable abnormal situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 The present invention is a flowchart of a real-time monitoring system for outdoor fire hydrant water pressure. DETAILED DESCRIPTION

[0065] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0066] Example 1

[0067] The present invention provides a real-time monitoring system for water pressure of outdoor fire hydrants. Figure 1 , including data collection and preprocessing module, correlation analysis module, anomaly detection and evaluation module, path analysis module and feedback decision module;

[0068] The data acquisition and preprocessing module installs a water pressure sensor on the fire hydrant to collect real-time water pressure data, real-time flow rate data and water pressure fluctuation amplitude data at a fixed period, and simultaneously performs multi-source data preprocessing and fusion to obtain water pressure data P x (t);

[0069] The correlation analysis module obtains the geographical location data L of the fire hydrant oc , and matches it with the preset proximity evaluation threshold LZ to obtain the fire hydrant proximity relationship evaluation result, and simultaneously converts the water pressure data P x (t) is divided into fixed time windows T and the water pressure correlation coefficient R of adjacent fire hydrants is calculated xy (t), and matches it with the preset water pressure related assessment threshold RZ to obtain the adjacent fire hydrant water pressure fluctuation assessment result and generate the corresponding warning mark W xy ;

[0070] The anomaly detection evaluation module calculates the water pressure correlation coefficient Rxy (t), warning sign W xy And water pressure data P x (t) Evaluate the dynamic state of the fire hydrant and obtain the abnormal index E x (t), and matches it with the preset fire hydrant abnormality assessment threshold Yz to obtain the fire hydrant abnormality risk assessment strategy;

[0071] The path analysis module is based on the abnormal index E x (t) and the geographical location data of the fire hydrant L oc Obtain the abnormal index gradient G of adjacent fire hydrants xy (t), and match it with the fire hydrant anomaly gradient propagation threshold CZ to obtain the fire hydrant propagation evaluation result, and obtain the anomaly index gradient propagation path D by statistically analyzing the fire hydrant propagation evaluation result path (t);

[0072] The feedback decision module is based on the abnormal index gradient propagation path D path (t), abnormal index E x (t) and the anomaly index gradient G xy (t) Conduct statistical analysis to obtain the fire hydrant area anomaly assessment strategy plan, and carry out specific implementation and notification based on the content of the fire hydrant area anomaly assessment strategy plan.

[0073] In this embodiment, real-time monitoring and intelligent evaluation of outdoor fire hydrant water pressure are realized, which effectively solves the shortcomings of traditional systems in anomaly detection, correlation analysis and decision feedback. The data acquisition and preprocessing module ensures the efficient integration of multi-source data and provides accurate water pressure data. x (t); The correlation analysis module uses geographic location data and correlation coefficients to evaluate the relationship between adjacent fire hydrants, which can timely detect potential risks and generate warning signs; the anomaly detection and evaluation module provides an accurate fire hydrant anomaly risk assessment strategy by dynamically analyzing water pressure data and warning signs; the path analysis module analyzes the anomaly index gradient G of adjacent fire hydrants xy (t), accurately determine the propagation path of the anomaly, revealing potential regional problems; generate effective regional anomaly handling strategies and execute them immediately. This modular design not only improves the accuracy of anomaly detection, but also enhances the system's response speed and decision-making ability. Especially when dealing with regional or systemic problems, it can provide early warning and take the best response measures, greatly improving the overall safety and reliability of the fire hydrant system.

[0074] Example 2

[0075] This embodiment is explained in Example 1, please refer to Figure 1,Specifically: the data acquisition and preprocessing module includes a data acquisition unit and a data fusion unit;

[0076] The data acquisition unit collects real-time water pressure data, real-time flow rate data and water pressure fluctuation amplitude data at a fixed period by installing water pressure sensors on fire hydrants, including water pressure sensors and flow sensors, and marks them as real-time water pressure data P sx (t), real-time flow rate data F x (t) and water pressure fluctuation amplitude data P ax (t), synchronize the real-time flow rate data F x (t) is converted into flow velocity water pressure data P affected by flow velocity fx (t);

[0077] The data fusion unit simultaneously performs multi-source data preprocessing and fusion to obtain water pressure data P x (t) Preprocessing includes water pressure data P x (t) Perform standardization preprocessing and outlier removal preprocessing.

[0078] The flow rate and water pressure data P fx (t) is converted and obtained through the following calculation formula:

[0079] ;

[0080] In the formula, Represents the conversion coefficient, which is specifically used to adjust the linear relationship between flow rate and water pressure;

[0081] The water pressure data P x (t) is obtained by the following calculation formula:

[0082] ;

[0083] Where w1, w2 and w3 represent the real-time water pressure data P sx (t), flow rate and water pressure data P fx (t) and water pressure fluctuation amplitude data P ax The preset weight value of (t).

[0084] Example 3

[0085] This embodiment is explained in Example 2. Please refer to Figure 1 ,Specifically: the correlation analysis module includes a proximity relationship evaluation unit and a water pressure correlation analysis unit;

[0086] The proximity relationship evaluation unit obtains the geographical location data L of the fire hydrant. oc , matches the preset proximity evaluation threshold LZ, through Calculation formula to obtain the distance d between adjacent fire hydrants xy , where L oc,x and L oc,y Respectively represent the geographical location data of fire hydrant x and fire hydrant y, and obtain the fire hydrant proximity relationship evaluation result through;

[0087] The fire hydrant proximity assessment results are obtained by Matching method acquisition;

[0088] When the return result is 1, mark fire hydrant x and fire hydrant y as adjacent;

[0089] When the return result is 0, mark fire hydrant x and fire hydrant y as not being adjacent;

[0090] The water pressure correlation analysis unit converts the water pressure data P x (t) is divided into fixed time windows T and the water pressure correlation coefficient R of adjacent fire hydrants is calculated xy (t), and matches it with the preset water pressure related assessment threshold RZ to obtain the adjacent fire hydrant water pressure fluctuation assessment result and generate the corresponding warning mark W xy ;

[0091] The adjacent fire hydrant water pressure fluctuation assessment results are Matching method acquisition;

[0092] When the return result is 1, the result without exception is obtained, and the warning mark without warning is generated, and the warning mark W is synchronously set. xy Marked as 1;

[0093] When the return result is 0, the abnormal result is obtained, a warning mark is generated, and the warning mark W is set synchronously xy The geographical location data L marked as 0 and the fire hydrant oc .

[0094] The water pressure correlation coefficient R xy (t) is obtained by the following calculation formula:

[0095] ;

[0096] In the formula, and represents the average water pressure of fire hydrant x and fire hydrant y in time window T1 and time window T2 respectively, P x (t) and P y (t) represent the water pressure data of fire hydrant x and fire hydrant y at time t respectively.

[0097] The anomaly detection and evaluation module includes a dynamic evaluation unit;

[0098] The dynamic evaluation unit calculates the water pressure correlation coefficient R xy (t), warning sign W xy And water pressure data P x (t) Evaluate the dynamic state of the fire hydrant and obtain the abnormal index E x (t), and match it with the preset fire hydrant abnormality assessment threshold Yz to obtain the fire hydrant abnormality risk assessment strategy;

[0099] The fire hydrant abnormal risk assessment strategy program is adopted Matching method acquisition:

[0100] When the return result is 1, the risk result is obtained and a fire hydrant abnormality risk plan is generated, including an interactive page warning prompt and notifications to relevant inspection personnel, and a warning sign W of the abnormal fire hydrant location is displayed simultaneously. xy , water pressure correlation coefficient R xy (t) and water pressure data P x (t) information;

[0101] When the return result is 0, a risk-free result is obtained and no fire hydrant abnormal risk plan is generated.

[0102] The abnormal index E x (t) is obtained by the following calculation formula:

[0103] ;

[0104] In the formula, Reflects the impact of reduced water pressure correlation on anomalies, Indicates the degree of deviation of the current water pressure data from the average water pressure. represents the standard deviation, , and Respectively represent the preset weight values, ,and , , .

[0105] In this embodiment, the geographical location data L oc Correlation coefficient R xy (t), accurately evaluate the relationship between adjacent fire hydrants and water pressure fluctuations, effectively identify potential anomalies and generate early warning signs to ensure that abnormal situations can be discovered and handled in a timely manner. Secondly, comprehensively analyze the water pressure correlation coefficient R xy (t), warning sign W xy And water pressure data P x (t), generating the anomaly index E x(t) and matches the preset threshold, so as to formulate an accurate fire hydrant abnormal risk assessment strategy. The response speed and processing capability in abnormal conditions are significantly improved. It can not only accurately locate and assess the risk of fire hydrant abnormalities, but also ensure that patrol personnel can respond in time through automated early warning and notification mechanisms.

[0106] Example 4

[0107] This embodiment is explained in Example 3, please refer to Figure 1 ,Specifically: the path analysis module includes a gradient calculation unit and a path statistics unit;

[0108] The gradient calculation unit is based on the abnormal index E x (t) and the geographical location data of the fire hydrant L oc Obtain the abnormal index gradient G of adjacent fire hydrants xy (t), the abnormal index gradient G of adjacent fire hydrants xy (t) indicates the anomaly propagation potential between two adjacent fire hydrants, which is a key indicator for subsequent judgment of whether the anomaly will spread in the fire hydrant network;

[0109] The abnormal index gradient G xy (t) is obtained by the following calculation formula:

[0110] ;

[0111] In the formula, and They represent the abnormal index of fire hydrant x and fire hydrant y at time t respectively;

[0112] The path statistics unit converts the abnormal index gradient G xy (t) is matched with the fire hydrant anomaly gradient propagation threshold CZ to obtain the fire hydrant propagation evaluation result, and the anomaly index gradient propagation path D is obtained by statistically analyzing the fire hydrant propagation evaluation result. path (t);

[0113] The fire hydrant propagation assessment results were Matching method acquisition:

[0114] When the return result is 1, the abnormal propagation result of fire hydrant x and fire hydrant y is obtained;

[0115] When the return result is 0, the abnormal propagation result of obtaining fire hydrant x and fire hydrant y does not exist.

[0116] The abnormal index gradient propagation path D path (t) is obtained by the following calculation formula:

[0117] ;

[0118] In the formula, represents an exponential function, when When the value is 1, it indicates that abnormal propagation exists. represents the propagation direction from fire hydrant x to fire hydrant y, where When the value is 1, it means that abnormal propagation, judgment and marking exist. The propagation direction of fire hydrant x to fire hydrant y is A value of 0 indicates that there is no abnormal propagation. Fire hydrant x is not in the direction of propagation of fire hydrant y and is not marked.

[0119] The feedback decision module is based on the abnormal index gradient propagation path D path (t), abnormal index E x (t) and the anomaly index gradient G xy (t) Perform statistical analysis to obtain the comprehensive index S(t) of abnormal indicators, match it with the preset regional abnormal assessment index threshold QZ, obtain the fire hydrant regional abnormal assessment strategy plan, and perform specific execution and notification according to the content of the fire hydrant regional abnormal assessment strategy plan;

[0120] The abnormal index comprehensive index S(t) is obtained by the following calculation formula:

[0121] ;

[0122] Where s1, s2 and s3 represent preset weight values, and , , , ;

[0123] The fire hydrant area anomaly assessment strategy is obtained by the following matching method:

[0124] When the abnormal index comprehensive index S(t) is less than the regional abnormal assessment index threshold QZ, the fire hydrant water pressure monitoring assessment in the current area has no abnormal assessment results;

[0125] When the comprehensive index of abnormal indicators S(t) ≥ the regional abnormal assessment index threshold QZ, the abnormal assessment results of the fire hydrant water pressure monitoring and assessment in the current area are obtained, and the fire hydrant regional abnormal strategy plan is generated, including adjusting the fire hydrant water pressure, prompting the abnormal fire hydrant location and prompting relevant inspection personnel to conduct inspections.

[0126] In this embodiment, the abnormal index gradient propagation path D between adjacent fire hydrants is calculated. path(t), thereby obtaining the abnormal propagation path of the fire hydrant, which enables the system to clearly identify the direction of abnormal propagation and accurately locate the source of the problem. The feedback decision module comprehensively analyzes and calculates the comprehensive index of abnormal indicators S (t) based on the propagation path, abnormal index and its gradient, and combines the preset threshold to generate a fire hydrant area abnormal assessment strategy plan and guide subsequent response measures. It can quickly identify and locate the abnormal propagation path, and can also formulate targeted adjustment measures through accurate abnormal assessment, thereby greatly improving the system's ability to respond to complex and changeable abnormal situations.

[0127] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A real-time monitoring system for water pressure of outdoor fire hydrants, characterized by: It includes data collection and preprocessing module, correlation analysis module, anomaly detection and evaluation module, path analysis module and feedback decision module; The data acquisition and preprocessing module installs a water pressure sensor on the fire hydrant to collect real-time water pressure data, real-time flow rate data and water pressure fluctuation amplitude data at a fixed period, and simultaneously performs multi-source data preprocessing and fusion to obtain water pressure data P x (t); The correlation analysis module obtains the geographical location data L of the fire hydrant oc , matches the preset proximity evaluation threshold LZ, obtains the fire hydrant proximity relationship evaluation result, and simultaneously converts the water pressure data P x (t) is divided into fixed time windows T and the water pressure correlation coefficient R of adjacent fire hydrants is calculated xy (t), and match it with the preset water pressure related assessment threshold RZ to obtain the adjacent fire hydrant water pressure fluctuation assessment results and generate the corresponding warning mark W xy ; The anomaly detection evaluation module calculates the water pressure correlation coefficient R xy (t), warning sign W xy And water pressure data P x (t) Evaluate the dynamic state of the fire hydrant and obtain the abnormal index E x (t), and matches it with the preset fire hydrant abnormality assessment threshold Yz to obtain the fire hydrant abnormality risk assessment strategy solution; The path analysis module is based on the abnormal index E x (t) and the geographical location data of the fire hydrant L oc Get the abnormal index gradient G of adjacent fire hydrants xy (t), and match it with the fire hydrant anomaly gradient propagation threshold CZ to obtain the fire hydrant propagation evaluation result, and obtain the anomaly index gradient propagation path D by statistically analyzing the fire hydrant propagation evaluation result path (t); The feedback decision module is based on the abnormal index gradient propagation path D path (t), abnormal index E x (t) and the anomaly index gradient G xy (t) Obtain the fire hydrant area anomaly assessment strategy plan through statistical analysis, and carry out specific implementation and notification according to the content of the fire hydrant area anomaly assessment strategy plan.

2. The outdoor fire hydrant water pressure real-time monitoring system according to claim 1 is characterized by: The data acquisition and preprocessing module includes a data acquisition unit and a data fusion unit; The data acquisition unit collects real-time water pressure data, real-time flow rate data and water pressure fluctuation amplitude data at a fixed period by installing water pressure sensors on fire hydrants, including water pressure sensors and flow sensors, and marks them as real-time water pressure data P sx (t), real-time flow rate data F x (t) and water pressure fluctuation amplitude data P ax (t), synchronize the real-time flow rate data F x (t) is converted into flow velocity water pressure data P affected by flow velocity fx (t); The data fusion unit simultaneously performs multi-source data preprocessing and fusion to obtain water pressure data P x (t) Preprocessing includes water pressure data P x (t) Perform standardization preprocessing and outlier removal preprocessing.

3. The outdoor fire hydrant water pressure real-time monitoring system according to claim 2 is characterized by: The flow rate and water pressure data P fx (t) is converted and obtained through the following calculation formula: ； In the formula, Represents the conversion coefficient, which is specifically used to adjust the linear relationship between flow rate and water pressure; The water pressure data P x (t) is obtained by the following calculation formula: ； Where w1, w2 and w3 represent the real-time water pressure data P sx (t), flow rate and water pressure data P fx (t) and water pressure fluctuation amplitude data P ax The preset weight value of (t).

4. The outdoor fire hydrant water pressure real-time monitoring system according to claim 1 is characterized by: The correlation analysis module includes a proximity relationship evaluation unit and a water pressure correlation analysis unit; The proximity relationship evaluation unit obtains the geographical location data L of the fire hydrant. oc , matches the preset proximity evaluation threshold LZ, through Calculation formula to obtain the distance d between adjacent fire hydrants xy , where L oc,x and L oc,y Respectively represent the geographical location data of fire hydrant x and fire hydrant y, and obtain the fire hydrant proximity relationship evaluation result through; The fire hydrant proximity assessment results are obtained by Matching method acquisition; When the return result is 1, mark fire hydrant x and fire hydrant y as adjacent; When the return result is 0, mark fire hydrant x and fire hydrant y as not being adjacent; The water pressure correlation analysis unit converts the water pressure data P x (t) is divided into fixed time windows T and the water pressure correlation coefficient R of adjacent fire hydrants is calculated xy (t), and matches it with the preset water pressure related assessment threshold RZ to obtain the adjacent fire hydrant water pressure fluctuation assessment result and generate the corresponding warning mark W xy ; The adjacent fire hydrant water pressure fluctuation assessment results are Matching method acquisition; When the return result is 1, the result without exception is obtained, and the warning mark without warning is generated, and the warning mark W is synchronously set. xy Marked as 1; When the return result is 0, the abnormal result is obtained, a warning mark is generated, and the warning mark W is set synchronously xy The geographical location data L marked as 0 and the fire hydrant oc .

5. The outdoor fire hydrant water pressure real-time monitoring system according to claim 4 is characterized by: The water pressure correlation coefficient R xy (t) is obtained by the following calculation formula: ； In the formula, and represents the average water pressure of fire hydrant x and fire hydrant y in time window T1 and time window T2 respectively, P x (t) and P y (t) represent the water pressure data of fire hydrant x and fire hydrant y at time t respectively.

6. The outdoor fire hydrant water pressure real-time monitoring system according to claim 4 is characterized by: The anomaly detection and evaluation module includes a dynamic evaluation unit; The dynamic evaluation unit calculates the water pressure correlation coefficient R xy (t), warning sign W xy And water pressure data P x (t) Evaluate the dynamic state of the fire hydrant and obtain the abnormal index E x (t), and match it with the preset fire hydrant abnormality assessment threshold Yz to obtain the fire hydrant abnormality risk assessment strategy; The fire hydrant abnormal risk assessment strategy program is adopted Matching method acquisition: When the return result is 1, the risk result is obtained and a fire hydrant abnormality risk plan is generated, including an interactive page warning prompt and notifications to relevant inspection personnel, and a warning sign W of the abnormal fire hydrant location is displayed simultaneously. xy , water pressure correlation coefficient R xy (t) and water pressure data P x (t) information; When the return result is 0, a risk-free result is obtained and no fire hydrant abnormal risk plan is generated.

7. The outdoor fire hydrant water pressure real-time monitoring system according to claim 6, characterized in that: The abnormal index E x (t) is obtained by the following calculation formula: ； In the formula, Reflects the impact of reduced water pressure correlation on anomalies, Indicates the degree of deviation of the current water pressure data from the average water pressure. represents the standard deviation, , and Respectively represent the preset weight values, ,and , , .

8. The outdoor fire hydrant water pressure real-time monitoring system according to claim 7, characterized in that: The path analysis module includes a gradient calculation unit and a path statistics unit; The gradient calculation unit is based on the abnormal index E x (t) and the geographical location data of the fire hydrant L oc Obtain the abnormal index gradient G of adjacent fire hydrants xy (t); The abnormal index gradient G xy (t) is obtained by the following calculation formula: ； In the formula, and They represent the abnormal index of fire hydrant x and fire hydrant y at time t respectively; The path statistics unit converts the abnormal index gradient G xy (t) is matched with the fire hydrant anomaly gradient propagation threshold CZ to obtain the fire hydrant propagation evaluation result, and the anomaly index gradient propagation path D is obtained by statistically analyzing the fire hydrant propagation evaluation result. path (t); The fire hydrant propagation assessment results were Matching method acquisition: When the return result is 1, the abnormal propagation result of fire hydrant x and fire hydrant y is obtained; When the return result is 0, the abnormal propagation result of obtaining fire hydrant x and fire hydrant y does not exist.

9. The outdoor fire hydrant water pressure real-time monitoring system according to claim 8, characterized in that: The abnormal index gradient propagation path D path (t) is obtained by the following calculation formula: ； In the formula, represents an exponential function, when When the value is 1, it indicates that abnormal propagation exists. represents the propagation direction from hydrant x to hydrant y.

10. The outdoor fire hydrant water pressure real-time monitoring system according to claim 1, characterized in that: The feedback decision module is based on the abnormal index gradient propagation path D path (t), abnormal index E x (t) and the anomaly index gradient G xy (t) Perform statistical analysis to obtain the comprehensive index S(t) of abnormal indicators, match it with the preset regional abnormal assessment index threshold QZ, obtain the fire hydrant regional abnormal assessment strategy plan, and perform specific execution and notification according to the content of the fire hydrant regional abnormal assessment strategy plan; The abnormal index comprehensive index S(t) is obtained by the following calculation formula: ； Where s1, s2 and s3 represent preset weight values, and , , , ; The fire hydrant area anomaly assessment strategy is obtained by the following matching method: When the abnormal index comprehensive index S(t) is less than the regional abnormal assessment index threshold QZ, the fire hydrant water pressure monitoring assessment in the current area has no abnormal assessment results; When the comprehensive index of abnormal indicators S(t) ≥ the regional abnormal assessment index threshold QZ, the abnormal assessment results of the fire hydrant water pressure monitoring and assessment in the current area are obtained, and the fire hydrant regional abnormal strategy plan is generated, including adjusting the fire hydrant water pressure, prompting the abnormal fire hydrant location and prompting relevant inspection personnel to conduct inspections.

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