Outdoor fire hydrant water pressure real-time monitoring system

Abstract

The application discloses an outdoor fire hydrant water pressure real-time monitoring system and relates to the technical field of firefighting. x (t); the correlation analysis module uses geographic location data and correlation coefficients to evaluate the relationship between adjacent fire hydrants, can timely discover potential risks and generate early warning signs; the abnormality detection evaluation module provides accurate fire hydrant abnormal risk evaluation strategy by dynamically analyzing water pressure data and early warning signs; the path analysis module accurately judges the propagation path of the abnormality by analyzing the abnormality index gradient G xy (t) of adjacent fire hydrants, reveals potential regional problems, generates effective regional abnormality processing strategies and immediately executes them, enhances response speed and decision-making ability, and especially when dealing with regional or systematic problems, can give early warnings and take optimal countermeasures.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of fire fighting technology, in particular to an outdoor fire hydrant water pressure real-time monitoring system. BACKGROUND

[0002] In the urban water supply system, fire hydrants as an important part of emergency water supply, its water pressure monitoring is crucial to ensure urban safety, specifically, by real-time monitoring of fire hydrant water pressure data, to ensure that in emergency situations, fire hydrant can operate normally, provide enough water pressure support for fire demand.

[0003] In the current fire hydrant water pressure monitoring, although there is a certain degree of automatic monitoring means, but these means are mostly isolated monitoring of a single fire hydrant water pressure data, not fully considering the correlation between adjacent fire hydrants, this limitation leads to when a fire hydrant water pressure abnormal, it is difficult to timely, comprehensive evaluation of abnormal whether it will affect other fire hydrants, or to determine whether the anomaly is the potential problem of the entire regional water supply system, therefore, the existing system in dealing with complex water supply network problems, there are not timely warning, inaccurate positioning of abnormality and other shortcomings.

[0004] When the water pressure abnormality of adjacent fire hydrants is not timely identified and correlated analyzed, it may delay the discovery and solution of the problem, especially when systemic problems (such as pipe rupture or large-scale leakage) occur, multiple fire hydrants may fail in succession, thereby causing a significant decline in emergency water supply capacity, in addition, the lack of correlation analysis may also cause maintenance personnel to be unable to accurately determine the propagation path of the problem, increasing the complexity and time cost of repair. These situations ultimately pose a serious threat to urban fire safety and affect the effectiveness of emergency response. SUMMARY

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

[0006] To achieve the above purpose, the present application is realized by the following technical scheme: an outdoor fire hydrant water pressure real-time monitoring system, comprising a data acquisition and preprocessing module, a correlation analysis module, an abnormality detection and evaluation module, a path analysis module and a feedback decision module;

[0007] The data acquisition and preprocessing module acquires real-time water pressure data, real-time flow rate data and water pressure fluctuation amplitude data by installing a water pressure sensor on the fire hydrant at a fixed cycle, and synchronously pre-processes and fuses multiple source data to obtain water pressure data P x (t);

[0008] The correlation analysis module obtains geographic location data L ocThe fire hydrant proximity assessment result is obtained by matching it with the preset proximity assessment threshold LZ and simultaneously transmitting the water pressure data P. x (t) Divide the time window into fixed time windows T and calculate the correlation coefficient R of water pressure between adjacent fire hydrants. xy (t), and match it with the preset water pressure-related assessment threshold RZ to obtain the assessment results of water pressure fluctuations in adjacent fire hydrants, and generate corresponding early warning signs W. xy ;

[0009] The anomaly detection and evaluation module will use the water pressure correlation coefficient R xy (t), Warning sign W xy Water pressure data P x (t) Evaluate the dynamic status of fire hydrants and obtain the anomaly index E. x (t), and match it with the preset fire hydrant anomaly assessment threshold Yz to obtain the fire hydrant anomaly risk assessment strategy;

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

[0011] The feedback decision module is based on the anomaly exponential gradient propagation path D. path (t), Anomaly Index E x (t) and the abnormal exponential gradient G xy (t) Conduct statistical analysis to obtain the fire hydrant area anomaly assessment strategy, and implement and notify according to the content of the fire hydrant area anomaly assessment strategy.

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

[0013] The data acquisition unit, by installing water pressure sensors (including a water pressure sensor and a flow sensor) on the fire hydrant, periodically collects real-time water pressure data, real-time flow velocity data, and water pressure fluctuation amplitude data, and labels them as real-time water pressure data P. sx (t), Real-time flow velocity data F x (t) and water pressure fluctuation amplitude data P ax (t), synchronously transmit real-time flow rate data F x (t) is converted into velocity-pressure data P that reflects the effect of 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 processing the water pressure data P x (t) Perform standardization preprocessing and outlier removal preprocessing.

[0015] Preferably, the flow velocity and water pressure data P fx (t) is obtained by conversion using the following formula:

[0016] ;

[0017] In the formula, This 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 through the following calculation formula:

[0019] ;

[0020] In the formula, w1, w2, and w3 represent the real-time water pressure data P, respectively. sx (t), flow velocity 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 assessment unit and a water pressure correlation analysis unit;

[0022] The proximity assessment unit obtains the geographical location data L of the fire hydrant. oc It is matched with the preset proximity evaluation threshold LZ, through The formula for calculating the distance d between adjacent fire hydrants is as follows. xy In the formula, L oc,x and L oc,y Let x and y represent the geographical location data of fire hydrant x and fire hydrant y, respectively. Then, obtain the assessment results of the proximity relationship of fire hydrants.

[0023] The fire hydrant proximity assessment results were passed Retrieved by matching method;

[0024] When the return value is 1, fire hydrant x and fire hydrant y are marked as adjacent.

[0025] When the return value is 0, fire hydrant x and fire hydrant y are marked as not being adjacent.

[0026] The water pressure correlation analysis unit will analyze the water pressure data P. x(t) performing division according to a fixed time window T, calculating a water pressure correlation coefficient R of adjacent fire hydrants xy (t), and matching with a preset water pressure correlation evaluation threshold Rz to obtain an adjacent fire hydrant water pressure fluctuation evaluation result and generate a corresponding warning mark W xy ;

[0027] The adjacent fire hydrant water pressure fluctuation evaluation result is obtained by matching mode;

[0028] When the return result is 1, an abnormal result is obtained, a warning mark is generated, and the warning mark W xy is marked as 1 at the same time;

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

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

[0031] ;

[0032] In the formula, and respectively represent the average water pressure values of fire hydrant x and fire hydrant y in time window T1 and time window T2, 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 abnormality detection evaluation module comprises a dynamic evaluation unit;

[0034] The dynamic evaluation unit evaluates the dynamic state of the fire hydrant by using the water pressure correlation coefficient R xy (t), the warning mark W xy and the water pressure data P x (t), obtains an abnormality index E x (t), and matches with a preset fire hydrant abnormality evaluation threshold Yz to obtain a fire hydrant abnormality risk evaluation strategy scheme;

[0035] The fire hydrant abnormality risk evaluation strategy scheme is obtained by matching mode:

[0036] When the return result is 1, the risk result is obtained, and a fire hydrant abnormal risk scheme is generated, including an interactive page warning prompt and a related patrol personnel notification, and a warning mark W of the abnormal fire hydrant position is synchronously displayed xy , a water pressure correlation coefficient R xy (t) and water pressure data P x (t) information;

[0037] When the return result is 0, the risk-free result is obtained, and the fire hydrant abnormal risk scheme is not generated.

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

[0039] ;

[0040] In the formula, reflects the influence of the decrease of water pressure correlation on the abnormality, represents the deviation degree of the current water pressure data from the average water pressure, represents the standard deviation, , and respectively represent preset weight values, , and , , .

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

[0042] The gradient calculation unit obtains the abnormal index gradient G xy (t) of the adjacent fire hydrant according to the abnormal index E x (t) and the geographic position data L oc of the fire hydrant;

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

[0044] ;

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

[0046] The path statistical unit matches the abnormal index gradient G xy (t) with a fire hydrant abnormal gradient propagation threshold value CZ, obtains a fire hydrant propagation evaluation result, and obtains an abnormal index gradient propagation path D path (t) by statistically analyzing the fire hydrant propagation evaluation result.

[0047] The fire hydrant propagation evaluation result is obtained by matching mode:

[0048] When the return result is 1, it is obtained that the fire hydrant x and the fire hydrant y exist abnormal propagation results;

[0049] When the return result is 0, it is obtained that the fire hydrant x and the fire hydrant y do not exist abnormal propagation results.

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

[0051] ;

[0052] In the formula, represents an exponential function, when is 1, it indicates that there is abnormal propagation, represents the propagation direction from the fire hydrant x to the fire hydrant y, wherein, when is 1, it indicates that there is abnormal propagation, and determines and marks the propagation direction from the fire hydrant x to the fire hydrant y, when is 0, it indicates that there is no abnormal propagation, and determines the propagation direction from the fire hydrant x to the fire hydrant y, and does not mark.

[0053] Preferably, the feedback decision module obtains an abnormal index comprehensive index S(t) according to the abnormal index gradient propagation path D path (t), the abnormal index E x (t) and the abnormal index gradient G xy (t), and matches the preset regional abnormal evaluation index threshold QZ to obtain a fire hydrant regional abnormal evaluation strategy scheme, and executes and notifies according to the content of the fire hydrant regional abnormal evaluation strategy scheme;

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

[0055] ;

[0056] In the formula, s1, s2 and s3 represent preset weight values, and , , , ;

[0057] The fire hydrant regional abnormal evaluation strategy scheme is obtained by the following matching mode:

[0058] When the abnormal index comprehensive index S (t) is less than the regional abnormal evaluation index threshold QZ, the fire hydrant water pressure monitoring evaluation result in the current region is obtained without abnormal evaluation result;

[0059] When the abnormal index comprehensive index S (t) is greater than or equal to the regional abnormal evaluation index threshold QZ, the fire hydrant water pressure monitoring evaluation result in the current region is obtained, the abnormal evaluation result is obtained, and the fire hydrant regional abnormal strategy scheme is generated, including adjusting the fire hydrant water pressure, prompting the abnormal fire hydrant position and prompting the related inspection personnel to check.

[0060] The present application provides an outdoor fire hydrant water pressure real-time monitoring system, which has the following beneficial effects:

[0061] (1) When the system is running, the real-time monitoring and intelligent evaluation of the outdoor fire hydrant water pressure are realized, the deficiencies of the traditional system in abnormal detection, correlation analysis and decision feedback are effectively solved, the data acquisition and preprocessing module ensures the efficient fusion of multi-source data, and accurate water pressure data P x (t) is provided; the correlation analysis module evaluates the relationship between adjacent fire hydrants using geographic location data and correlation coefficient, can timely discover potential risks and generate warning signs; the abnormal detection evaluation module provides precise fire hydrant abnormal risk evaluation strategy scheme by dynamically analyzing water pressure data and warning signs; the path analysis module accurately judges the propagation path of the anomaly by analyzing the abnormal index gradient G xy (t) of adjacent fire hydrants, reveals potential regional problems, generates effective regional abnormal processing strategy and executes immediately, this modular design not only improves the accuracy of abnormal detection, but also enhances the response speed and decision-making ability of the system, especially in dealing with regional or systemic problems, can early warning and take the optimal measures.

[0062] (2) Through the calculation of geographic location data L oc and water pressure correlation coefficient R xy (t), the relationship between adjacent fire hydrants and water pressure fluctuation is accurately evaluated, potential abnormalities are effectively identified and warning signs are generated, ensuring that abnormal situations can be discovered and handled in time, secondly, by comprehensively analyzing water pressure correlation coefficient R xy (t), warning signs W xy and water pressure data P x (t), abnormal index E x (t) is generated and matched with the preset threshold, so as to formulate accurate fire hydrant abnormal risk evaluation strategy. Significantly improve the reaction speed and processing capacity in abnormal state, not only can accurately locate and evaluate the risk of fire hydrant abnormality, but also can ensure that the inspection personnel can respond in time through the automatic warning and notification mechanism.

[0063] (3) By calculating the abnormal index gradient propagation path Dpath (t), so as to obtain the abnormal propagation path of the fire hydrant, which enables the system to clearly identify the abnormal propagation direction and accurately locate the problem source. The feedback decision module analyzes and calculates the abnormal index comprehensive index S(t) according to the propagation path, the abnormal index and its gradient, generates the abnormal evaluation strategy scheme of the fire hydrant area in combination with the preset threshold, and guides the subsequent response measures. The abnormal propagation path can be quickly identified and located, and accurate abnormal evaluation can be made to formulate targeted adjustment measures, so that the response capability of the system in the face of complex and variable abnormal conditions can be greatly improved. BRIEF DESCRIPTION OF DRAWINGS

[0064] Figure 1 It is a flow chart of the outdoor fire hydrant water pressure real-time monitoring system. DETAILED DESCRIPTION

[0065] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to 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 the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0066] Embodiment 1

[0067] The present application provides an outdoor fire hydrant water pressure real-time monitoring system, please refer to Figure 1 , comprising a data acquisition and preprocessing module, a correlation analysis module, an abnormal detection and evaluation module, a path analysis module and a feedback decision module.

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

[0069] The correlation analysis module obtains the geographical position data L oc of the fire hydrant, matches the data with a preset adjacent evaluation threshold Lz, obtains the adjacent relationship evaluation result of the fire hydrant, and synchronously divides the water pressure data P x (t) into fixed time windows T, calculates the water pressure correlation coefficient R xy (t) of the adjacent fire hydrant, matches the data with a preset water pressure correlation evaluation threshold Rz, obtains the adjacent fire hydrant water pressure fluctuation evaluation result, and generates a corresponding warning mark W xy .

[0070] The abnormal detection and evaluation module divides the water pressure correlation coefficient Rxy (t), a pre-warning identifier W xy and water pressure data P x (t) to evaluate the dynamic state of the fire hydrant and obtain an anomaly index E x (t) and match it with a preset fire hydrant anomaly evaluation threshold Yz to obtain a fire hydrant anomaly risk evaluation strategy scheme;

[0071] The path analysis module obtains an anomaly index gradient G x (t) of adjacent fire hydrants according to the anomaly index E oc (t) and geographic location data L xy of the fire hydrant, and matches it with a fire hydrant anomaly gradient propagation threshold CZ to obtain a fire hydrant propagation evaluation result, and obtains an anomaly index gradient propagation path D path (t) by counting the fire hydrant propagation evaluation result;

[0072] The feedback decision module obtains a fire hydrant area anomaly evaluation strategy scheme by statistical analysis according to the anomaly index gradient propagation path D path (t), the anomaly index E x (t), and the anomaly index gradient G xy (t), and specifically executes and notifies according to the content of the fire hydrant area anomaly evaluation strategy scheme.

[0073] In this embodiment, real-time monitoring and intelligent evaluation of outdoor fire hydrant water pressure are achieved, effectively solving the deficiencies of traditional systems in anomaly detection, correlation analysis, and decision feedback. The data acquisition and preprocessing module ensures efficient fusion of multi-source data, providing accurate water pressure data P x (t); the correlation analysis module evaluates the relationship between adjacent fire hydrants using geographic location data and correlation coefficients, enabling timely detection of potential risks and generation of pre-warning identifiers; the anomaly detection and evaluation module provides precise fire hydrant anomaly risk evaluation strategy schemes by dynamically analyzing water pressure data and pre-warning identifiers; the path analysis module accurately determines the propagation path of anomalies by analyzing the anomaly index gradient G xy (t) of adjacent fire hydrants, revealing potential regional problems; and generates effective regional anomaly handling strategies and immediately executes them. This modular design not only improves the accuracy of anomaly detection but also enhances the response speed and decision-making ability of the system, especially in dealing with regional or systemic problems, enabling early warning and optimal response measures, greatly improving the overall safety and reliability of the fire hydrant system.

[0074] Embodiment 2

[0075] This embodiment is an explanation and description in Embodiment 1. Please refer to Figure 1Specifically: the data acquisition and preprocessing module includes a data acquisition unit and a data fusion unit;

[0076] The data acquisition unit, by installing water pressure sensors (including a water pressure sensor and a flow sensor) on the fire hydrant, periodically collects real-time water pressure data, real-time flow velocity data, and water pressure fluctuation amplitude data, and labels them as real-time water pressure data P. sx (t), Real-time flow velocity data F x (t) and water pressure fluctuation amplitude data P ax (t), synchronously transmit real-time flow velocity data F x (t) is converted into velocity-pressure data P that reflects the effect of 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 processing the water pressure data P x (t) Perform standardization preprocessing and outlier removal preprocessing.

[0078] The flow velocity and water pressure data P fx (t) is obtained by conversion using the following formula:

[0079] ;

[0080] In the formula, This 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 through the following calculation formula:

[0082] ;

[0083] In the formula, w1, w2, and w3 represent the real-time water pressure data P, respectively. sx (t), flow velocity 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 an explanation based on Embodiment 2. Please refer to it. Figure 1 Specifically: the correlation analysis module includes a proximity relationship evaluation unit and a water pressure correlation analysis unit;

[0086] The proximity assessment unit obtains the geographical location data L of the fire hydrant. oc It is matched with the preset proximity evaluation threshold LZ, through A calculation formula is used to obtain the distance d between adjacent fire hydrants xy , wherein L oc,x and L oc,y respectively represent the geographic position data of the fire hydrant x and the fire hydrant y, and the fire hydrant adjacent relationship evaluation result is obtained through

[0087] The fire hydrant adjacent relationship evaluation result is obtained through a matching manner

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

[0089] When the return result is 0, the fire hydrant x and the fire hydrant y are marked as not adjacent relationship;

[0090] The water pressure correlation analysis unit divides the water pressure data P x (t) into fixed time windows T, calculates the water pressure correlation coefficient R xy (t) of adjacent fire hydrants, and matches the water pressure correlation evaluation threshold RZ to obtain the adjacent fire hydrant water pressure fluctuation evaluation result and generate the corresponding warning mark W xy ;

[0091] The adjacent fire hydrant water pressure fluctuation evaluation result is obtained through a matching manner

[0092] When the return result is 1, an abnormal result is obtained, a warning mark is generated, and the warning mark W xy is marked as 1 at the same time;

[0093] When the return result is 0, an abnormal result is obtained, a warning mark is generated, and the warning mark W xy is marked as 0 and the geographic position data L oc of the fire hydrant is marked.

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

[0095] ;

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

[0097] The abnormality detection evaluation module comprises a dynamic evaluation unit;​​

[0098] The dynamic evaluation unit evaluates the water pressure correlation coefficient R xy (t), the early warning identifier W xy and the water pressure data P x (t) to evaluate the dynamic state of the fire hydrant, obtain an anomaly index E x (t), and match a preset fire hydrant anomaly evaluation threshold Yz to obtain a fire hydrant anomaly risk evaluation strategy scheme.

[0099] The fire hydrant anomaly risk evaluation strategy scheme is obtained by matching:

[0100] When the return result is 1, the risk result is obtained, a fire hydrant anomaly risk scheme is generated, including an interactive page early warning prompt and a related inspection personnel notification, and the early warning identifier W xy , the water pressure correlation coefficient R xy (t) and the water pressure data P x (t) information of the abnormal fire hydrant position are synchronously displayed.

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

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

[0103] ;

[0104] In the formula, reflects the influence of the decrease of the water pressure correlation on the anomaly, represents the deviation degree of the current water pressure data from the average water pressure, represents the standard deviation, , and respectively represent preset weight values, , and , , .

[0105] In this embodiment, by calculating the geographic position data L oc and the water pressure correlation coefficient R xy (t), the relationship between adjacent fire hydrants and the water pressure fluctuation are accurately evaluated, potential anomalies are effectively identified, and early warning identifiers are generated to ensure that anomalies can be discovered and handled in a timely manner. Secondly, the water pressure correlation coefficient R xy (t), the early warning identifier W xy and the water pressure data P x (t) are comprehensively analyzed to generate the anomaly index E x(t) and match the preset threshold value, thereby formulating an accurate fire hydrant abnormality risk assessment strategy. The reaction speed and processing capacity in an abnormal state are significantly improved, not only can the fire hydrant abnormality be accurately located and assessed, but also through an automatic early warning and notification mechanism, it can be ensured that the inspection personnel can respond in a timely manner.

[0106] Embodiment 4

[0107] This embodiment is an explanation and illustration in Embodiment 3, please refer to Figure 1 , in particular: the path analysis module comprises a gradient calculation unit and a path statistical unit;

[0108] The gradient calculation unit acquires the abnormality index gradient G x (t) of the adjacent fire hydrant according to the abnormality index E oc (t) and the geographic position data L xy of the fire hydrant; The abnormality index gradient G xy (t) of the adjacent fire hydrant indicates the abnormality propagation potential between two adjacent fire hydrants, which is a key index for subsequent judgment of whether the abnormality will spread in the fire hydrant network;

[0109] The abnormality index gradient G xy (t) is acquired through the following calculation formula:

[0110] ;

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

[0112] The path statistical unit matches the abnormality index gradient G xy (t) with the fire hydrant abnormality gradient propagation threshold value CZ to acquire the fire hydrant propagation assessment result, and acquires the abnormality index gradient propagation path D path (t) by statistically processing the fire hydrant propagation assessment result;

[0113] The fire hydrant propagation assessment result is acquired through matching mode:

[0114] When the return result is 1, it is acquired that the fire hydrant x and the fire hydrant y exist abnormality propagation result;

[0115] When the return result is 0, it is acquired that the fire hydrant x and the fire hydrant y do not exist abnormality propagation result.

[0116] The abnormality index gradient propagation path D path (t) is acquired through the following calculation formula:

[0117] ;

[0118] In the formula, represents an exponential function, when is 1, it indicates that there is abnormal propagation, represents the propagation direction from hydrant x to hydrant y, wherein, when is 1, it indicates that there is abnormal propagation, and determines and marks the propagation direction from hydrant x to hydrant y, when is 0, it indicates that there is no abnormal propagation, and determines the propagation direction from hydrant x to hydrant y, and does not mark.

[0119] The feedback decision module obtains the abnormal index comprehensive index S(t) according to the abnormal exponential gradient propagation path D path (t), the abnormal index E x (t) and the abnormal index gradient G xy (t), and matches it with the preset regional abnormal evaluation index threshold QZ to obtain a hydrant regional abnormal evaluation strategy scheme, and executes and notifies according to the content of the hydrant regional abnormal evaluation strategy scheme;

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

[0121] ;

[0122] In the formula, s1, s2 and s3 represent preset weight values, and , , , ;

[0123] The hydrant regional abnormal evaluation strategy scheme is obtained by the following matching method:

[0124] When the abnormal index comprehensive index S(t) is less than the regional abnormal evaluation index threshold QZ, the hydrant water pressure monitoring evaluation abnormal evaluation result in the current region is obtained;

[0125] When the abnormal index comprehensive index S(t) is greater than or equal to the regional abnormal evaluation index threshold QZ, the hydrant water pressure monitoring evaluation abnormal evaluation result in the current region is obtained, and a hydrant regional abnormal strategy scheme is generated, including adjusting the hydrant water pressure, prompting the abnormal hydrant position, and prompting the related inspection personnel to check.

[0126] In this embodiment, the abnormal index gradient propagation path D path ​(t), so as to obtain the abnormal propagation path of the fire hydrant, which enables the system to clearly identify the abnormal propagation direction and accurately locate the problem source. The feedback decision module then analyzes and calculates the abnormal index comprehensive index S(t) according to the propagation path, the abnormal index and its gradient, generates the abnormal evaluation strategy scheme of the fire hydrant area in combination with a preset threshold, and guides the follow-up response measures. The abnormal propagation path can be quickly identified and located, and accurate abnormal evaluation can be made to formulate targeted adjustment measures, thereby greatly improving the response capability of the system in the face of complex and variable abnormal situations.

[0127] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A real-time monitoring system for water pressure in outdoor fire hydrants, characterized in that: It includes 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; The data acquisition and preprocessing module collects real-time water pressure data, real-time flow velocity data, and water pressure fluctuation amplitude data at fixed intervals by installing water pressure sensors on fire hydrants. Simultaneously, it 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 The fire hydrant proximity assessment result is obtained by matching it with the preset proximity assessment threshold LZ and simultaneously transmitting the water pressure data P. x (t) Divide the time window T into segments and calculate the water pressure correlation coefficient R between adjacent fire hydrants. xy (t), and match it with the preset water pressure-related assessment threshold RZ to obtain the water pressure fluctuation assessment results of adjacent fire hydrants, and generate the corresponding early warning sign W. xy ; The anomaly detection and evaluation module will use the water pressure correlation coefficient R xy (t), Warning sign W xy Water pressure data P x (t) Evaluate the dynamic status of fire hydrants and obtain the anomaly index E. x (t), and match it with the preset fire hydrant anomaly assessment threshold Yz to obtain the fire hydrant anomaly risk assessment strategy; The path analysis module is based on the anomaly index E. x (t) and geographical location data of fire hydrants L oc Obtain the anomaly gradient G of adjacent fire hydrants xy (t) is matched with the fire hydrant abnormal gradient propagation threshold CZ to obtain the fire hydrant propagation assessment result. The abnormal index gradient propagation path D is obtained by statistically analyzing the fire hydrant propagation assessment result. path (t); The feedback decision module is based on the anomaly exponential gradient propagation path D. path (t), Abnormal index E x (t) and the abnormal exponential gradient G xy (t) Statistical analysis is used to obtain anomaly assessment strategy for fire hydrant areas, and the strategy is implemented and notified according to its content; the correlation analysis module includes a proximity relationship assessment unit and a water pressure correlation analysis unit; The proximity assessment unit obtains the geographical location data L of the fire hydrant. oc It is matched with the preset proximity evaluation threshold LZ, through The formula for calculating the distance d between adjacent fire hydrants is as follows. xy In the formula, L oc,x and L oc,y Let x and y represent the geographical location data of fire hydrant x and fire hydrant y, respectively. Then, obtain the assessment results of the proximity relationship of fire hydrants. The fire hydrant proximity assessment results were passed Retrieved by matching method; When the return value is 1, fire hydrant x and fire hydrant y are marked as adjacent. When the return value is 0, fire hydrant x and fire hydrant y are marked as not being adjacent. The water pressure correlation analysis unit will analyze the water pressure data P. x (t) Divide the time window into fixed time windows T and calculate the water pressure correlation coefficient R between adjacent fire hydrants. xy (t) is matched with the preset water pressure-related assessment threshold RZ to obtain the water pressure fluctuation assessment results of adjacent fire hydrants, and a corresponding early warning sign W is generated. xy ; The assessment results of water pressure fluctuations between adjacent fire hydrants were passed. Retrieved by matching method; When the return value is 1, a no-error result is obtained, a no-warning-needed flag is generated, and the warning flag W is simultaneously set. xy Marked as 1; When the return value is 0, an abnormal result is obtained, a warning flag is generated, and the warning flag W is simultaneously set. xy Geographical location data L marked as 0 and marked as fire hydrant oc .

2. The outdoor fire hydrant water pressure real-time monitoring system according to claim 1, characterized in that: The data acquisition and preprocessing module includes a data acquisition unit and a data fusion unit; The data acquisition unit, by installing water pressure sensors (including a water pressure sensor and a flow sensor) on the fire hydrant, periodically collects real-time water pressure data, real-time flow velocity data, and water pressure fluctuation amplitude data, and labels 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), synchronously transmit real-time flow velocity data F x (t) is converted into velocity-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 processing the 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, characterized in that: The flow velocity and water pressure data P fx (t) is obtained by conversion using the following formula: P fx (t)=k f ·F x (t); In the formula, k f This 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 through the following calculation formula: P x (t)=w1*P sx (t)+w2*P fx (t)+w3*P ax (t); In the formula, w1, w2, and w3 represent the real-time water pressure data P, respectively. sx (t), flow velocity and water pressure data P fx (t) and water pressure fluctuation amplitude data P ax The preset weight values ​​of (t).

4. The outdoor fire hydrant water pressure real-time monitoring system according to claim 3, characterized in that: The water pressure correlation coefficient R xy (t) is obtained through the following calculation formula: In the formula, and P represents the average water pressure values ​​of fire hydrant x and fire hydrant y within time windows T1 and T2, respectively. x (t) and P y (t) represent the water pressure data of fire hydrant x and fire hydrant y at time t, respectively.

5. The outdoor fire hydrant water pressure real-time monitoring system according to claim 4, characterized in that: The anomaly detection and evaluation module includes a dynamic evaluation unit; The dynamic evaluation unit will use the water pressure correlation coefficient R xy (t), Warning sign W xy Water pressure data P x (t) Evaluate the dynamic status of fire hydrants and obtain the anomaly index E. x (t), and match it with the preset fire hydrant anomaly assessment threshold Yz to obtain the fire hydrant anomaly risk assessment strategy; The fire hydrant abnormal risk assessment strategy scheme is adopted Matching method: When the return value is 1, the risk result is obtained, and an abnormal fire hydrant risk plan is generated, including an interactive page warning prompt and relevant inspection personnel notification, and an alarm sign W indicating the location of the abnormal fire hydrant is displayed simultaneously. xy Water pressure correlation coefficient R xy (t) and water pressure data P x (t) information; When the return value is 0, a risk-free result is obtained, and no abnormal risk scheme for fire hydrants is generated.

6. The outdoor fire hydrant water pressure real-time monitoring system according to claim 5, characterized in that: The abnormality index E x (t) is obtained through the following calculation formula: In the formula, (1-R xy (t) reflects the impact of reduced water pressure correlation on anomalies. σ represents the degree of deviation between the current water pressure data and the average water pressure. p Let α represent the standard deviation, β and γ represent the preset weight values, α+β+γ=1, and 0≤α≤1, 0≤β≤1, 0≤γ≤1.

7. The outdoor fire hydrant water pressure real-time monitoring system according to claim 6, characterized in that: The path analysis module includes a gradient calculation unit and a path statistics unit; The gradient calculation unit calculates based on the anomaly index E. x (t) and geographical location data of fire hydrants L oc Obtain the anomaly gradient G of adjacent fire hydrants. xy (t); The abnormal exponential gradient G xy (t) is obtained through the following calculation formula: In the formula, E x (t) and E y (t) represent the anomaly indices of fire hydrant x and fire hydrant y at time t, respectively; The path statistics unit will analyze the abnormal exponential gradient G. xy (t) is matched with the abnormal gradient propagation threshold CZ of the fire hydrant to obtain the fire hydrant propagation assessment result. The abnormal index gradient propagation path D is obtained by statistically analyzing the fire hydrant propagation assessment result. path (t); The fire hydrant propagation assessment results were passed Matching method: When the return value is 1, it indicates that there is an abnormal propagation result between fire hydrant x and fire hydrant y. When the return value is 0, it indicates that there is no abnormal propagation result for fire hydrant x and fire hydrant y.

8. The outdoor fire hydrant water pressure real-time monitoring system according to claim 7, characterized in that: The abnormal exponential gradient propagation path D path (t) is obtained through the following calculation formula: D path (t)=∑ (x,y) δ(G xy (t)≥CZ)·dir(x→y); In the formula, δ(·) represents an exponential function, when G xy When (t)≥CZ takes a value of 1, it indicates that there is abnormal propagation, and dir(x→y) represents the propagation direction from fire hydrant x to fire hydrant y.

9. 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 anomaly exponential gradient propagation path D. path (t), Abnormal index E x (t) and the abnormal exponential gradient G xy (t) Perform statistical analysis to obtain the comprehensive index S(t) of abnormal indicators, and match it with the preset regional abnormal assessment index threshold QZ to obtain the fire hydrant regional abnormal assessment strategy plan, and implement and notify according to the content of the fire hydrant regional abnormal assessment strategy plan. The comprehensive index S(t) of the anomaly indicator is obtained through the following calculation formula: S(t)=s1*∑ x E x (t)+s2*∑ (x,y) G xy (t)+s3*D path (t); In the formula, s1, s2 and s3 represent preset weight values, and 0≤s1≤1, 0≤s2≤1, 0≤s3≤1, s1+s2+s3=1; The fire hydrant area anomaly assessment strategy was obtained through the following matching method: When the comprehensive index of abnormal indicators S(t) is less than the threshold of the regional abnormal assessment index QZ, the assessment result of no abnormality in the fire hydrant water pressure monitoring in the current region is obtained. When the comprehensive index of abnormal indicators S(t) is greater than or equal to the threshold of the regional abnormal assessment index QZ, the abnormal assessment result of the fire hydrant water pressure monitoring in the current region is obtained, and a regional abnormal strategy plan for the fire hydrant is generated, including adjusting the fire hydrant water pressure, indicating the location of abnormal fire hydrants, and prompting relevant inspection personnel to conduct inspections.

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