CN118552183A - Intelligent water affair state on-line monitoring management system - Google Patents
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Abstract
The application discloses an intelligent water service state on-line monitoring management system, and relates to the technical field of water service monitoring management. The method comprises the following steps: the method comprises the steps that a selection monitoring module obtains a layout diagram and historical fault data of a water supply pipeline network, and monitoring points are selected and a monitoring point library is formed; the initial monitoring module acquires environmental conditions around the monitoring points, and selects and obtains initial monitoring points; the effective monitoring module starts monitoring equipment of the initial monitoring point, and processes the data to obtain effective data; the fault confirming module obtains real-time water consumption and confirms and obtains a fault point of the water supply pipeline network; the primary fault module acquires an associated monitoring point of the fault point, controls monitoring equipment of the associated monitoring point to start, and confirms to obtain a primary fault result; and the monitoring result module controls the hydraulic equipment to adjust hydraulic data, and outputs a pipeline fault result after verifying the primary fault result. The application improves the convenience of intelligent water service state on-line monitoring management.
Description
Technical Field
The application relates to the technical field of water affair monitoring and management, in particular to an intelligent water affair state on-line monitoring and management system.
Background
The intelligent water affair fully discovers the data value and the logic relation through the deep fusion of the new generation information technology and the water affair technology, realizes the control intellectualization, the data reclamation, the management accuracy and the decision intellectualization of the water affair system, ensures the safe operation of the water affair facility, and ensures the operation of the water affair service to be more efficient, the management to be more scientific and the service to be better. In the smart water service, leakage monitoring of the water supply pipeline network is particularly important, because the operation of the smart water service is severely disturbed once leakage occurs in the water supply pipeline network. Therefore, in the intelligent water service state on-line monitoring and management, the leakage condition of the water supply pipeline network needs to be focused.
In the related art, whether leakage occurs in the water supply pipeline network is judged by monitoring some hydraulic data of the water supply pipeline network, but because the water supply pipeline network is complex and numerous, a large number of monitoring points are needed to obtain more accurate monitoring results. And a large number of monitoring points can lead to the waste of monitoring resources, and simultaneously a large number of invalid monitoring data can also increase the difficulty for data processing to cause inconvenient water affair monitoring management, have the improvement.
Disclosure of Invention
The invention aims to provide an intelligent water service state on-line monitoring management system so as to solve the problems in the background technology.
The application provides an intelligent water service state on-line monitoring management system, which adopts the following technical scheme:
the selection monitoring module is used for acquiring a layout diagram and historical fault data of the water supply pipeline network, selecting monitoring points according to the layout diagram and the historical fault data and forming a monitoring point library;
The initial monitoring module is in signal connection with the selection monitoring module, the environmental conditions around the monitoring points are obtained, and the initial monitoring points are selected in combination with the monitoring conditions of the monitoring points;
the effective monitoring module is in signal connection with the initial monitoring module, monitoring equipment of the initial monitoring point is started, hydraulic monitoring data are obtained through monitoring, effective data judgment is carried out on the hydraulic monitoring data according to crowd distribution conditions to obtain judgment results, and the data are processed according to the judgment results to obtain effective data;
The fault confirming module is in signal connection with the effective monitoring module, acquires real-time water consumption, and confirms and obtains a fault point of the water supply pipeline network according to the real-time water consumption;
The primary fault module is in signal connection with the fault confirmation module, acquires the associated monitoring points of the fault points according to the monitoring point library, controls the monitoring equipment of the associated monitoring points to start, obtains associated monitoring data, and confirms and obtains a primary fault result according to the associated monitoring data;
The monitoring result module is connected with the primary fault module through signals, and is used for controlling the hydraulic equipment to adjust hydraulic data and outputting a pipeline fault result after verifying the primary fault result.
Preferably, the step of obtaining a layout diagram and historical fault data of the water supply pipeline network, selecting monitoring points according to the layout diagram and the historical fault data and forming a monitoring point library specifically comprises the following steps:
Acquiring a layout diagram and historical fault data of a water supply pipeline network, and extracting the historical fault position of the water supply pipeline network from the historical fault data;
Counting the fault times and the fault degree of the historical fault positions, setting the fault weight ratio of the fault times and the fault degree, and calculating the fault degree of the fault positions according to the fault times, the fault degree and the corresponding fault weight ratio;
setting a fault degree threshold value, and screening fault positions of which the fault degree reaches the fault degree threshold value as monitoring points to be selected;
Acquiring the distance between the to-be-selected monitoring points, setting a distance threshold value, acquiring the central positions of the two to-be-selected monitoring points if the distance between the two to-be-selected monitoring points does not reach the distance threshold value, and extracting the pipeline position closest to the central position of the water supply pipeline network as a new to-be-selected monitoring point and replacing the original two to-be-selected monitoring points;
And when the distance between all the to-be-selected monitoring points reaches the distance threshold value, counting all the to-be-selected monitoring points as the monitoring points and forming a monitoring point library.
Preferably, the step of obtaining the initial monitoring point by combining the environmental conditions around the monitoring point and the monitoring conditions of the monitoring point comprises the following steps:
Acquiring environmental conditions around a monitoring point, extracting factors influencing the hydraulic data monitoring process from the environmental conditions, marking the factors as influence factors, and setting an influence threshold of the influence factors;
acquiring an average influence value of the influence factors of the positions of the monitoring points, and calculating to obtain an influence difference value of the average influence value exceeding an influence threshold value;
Accumulating all the influence differences to obtain the influence degree of the influence factors on the monitoring points, setting an influence degree threshold, and screening the monitoring points with the influence degree reaching the influence degree threshold as first monitoring points;
and acquiring a monitoring range of the first monitoring point, and screening the first monitoring point meeting the monitoring range requirement from the first monitoring points according to the monitoring range to serve as an initial monitoring point.
Preferably, the step of obtaining the monitoring range of the first monitoring point, and screening the first monitoring point meeting the requirement of the monitoring range from the first monitoring points as the initial monitoring point according to the monitoring range specifically includes:
obtaining the number AL of routes from the water supply starting point to the first monitoring point and the sum AZ of the distances from the water supply starting point to the first monitoring point;
Acquiring the quantity AD of water supply terminals of the first monitoring points of the path, acquiring the water consumption change average value of the water supply terminals of the first monitoring points of the path, and obtaining a water consumption change value AB after superposition;
correlating functions according to monitoring ranges Calculating a monitoring range value AF of the first monitoring point, wherein、、、Is a scale factor and greater than 0;
And setting a monitoring range value threshold, and screening a first monitoring point of which the monitoring range value reaches the monitoring range value threshold as an initial monitoring point.
Preferably, the step of starting the monitoring device of the initial monitoring point, monitoring to obtain hydraulic monitoring data, judging the hydraulic monitoring data to obtain a judging result according to the crowd distribution condition, and processing the data according to the judging result to obtain the effective data comprises the following specific steps:
Controlling monitoring equipment of an initial monitoring point to be started, collecting hydraulic monitoring data of the initial monitoring point, and performing edge calculation on the hydraulic monitoring data to obtain a hydraulic variation value of the hydraulic monitoring data;
obtaining crowd distribution conditions, obtaining predicted water consumption according to the crowd distribution conditions, setting a hydraulic change value range according to the predicted water consumption, judging hydraulic monitoring data as invalid data when the hydraulic change value does not exceed the hydraulic change value range, and storing the invalid data locally;
Setting a standard time period, calculating invalid data in the standard time period through edges to obtain a hydraulic average value, and uploading the hydraulic average value to a cloud;
When the hydraulic change value exceeds the hydraulic change value range, the hydraulic monitoring data are considered to be effective data, and the effective data are transmitted to the cloud;
And acquiring a monitoring time point of the effective data, and synchronously transmitting the ineffective data of the latest standard time period in the monitoring time point to the cloud.
Preferably, the step of obtaining the crowd distribution situation and obtaining the predicted water consumption according to the crowd distribution situation specifically includes:
obtaining a water supply coverage area according to the layout diagram, and dividing the water supply coverage area to obtain a plurality of water supply areas;
counting the number of vehicles in the area according to the edge cameras of the water supply area, and predicting the number of the first personnel to obtain the number of the first personnel to flow according to the number of the vehicles;
counting the flow of people in the area by combining the edge camera to obtain the flow quantity of the second people;
According to people flow data of people flow occasion statistics in the water supply area, obtaining the third people flow quantity;
Superposing the first personnel flow quantity, the second personnel flow quantity and the third personnel flow quantity to obtain a total flow quantity;
And acquiring the average water consumption of the water supply coverage area, and calculating to obtain the predicted water consumption of the water supply area by combining the total flowing quantity and the average water consumption.
Preferably, the fault confirming module is in signal connection with the effective monitoring module, acquires real-time water consumption, confirms the step of obtaining the fault point of the water supply pipeline network according to the real-time water consumption, and specifically comprises the following steps:
Acquiring real-time water consumption, calculating a water consumption difference value between the real-time water consumption and the predicted water consumption, setting a water consumption difference value threshold, and if the water consumption difference value does not reach the water consumption difference value threshold, comparing effective data with corresponding data of the real-time water consumption to obtain a fault point;
If the water quantity difference value reaches the water quantity difference value threshold value, starting monitoring equipment at the water quantity counting equipment, and recording corresponding monitoring points as primary monitoring points to obtain hydraulic monitoring data around the water quantity counting equipment and recording the hydraulic monitoring data as primary monitoring data;
Judging whether the primary monitoring points fail according to the primary monitoring data, and if the primary monitoring points fail, marking the primary monitoring points as failure points;
If the primary monitoring point does not fail, the real-time water consumption is sent to the effective monitoring module, the predicted water consumption is updated to the real-time water consumption, and effective data are received again.
Preferably, the step of acquiring the associated monitoring point of the fault point according to the monitoring point library, controlling the monitoring equipment of the associated monitoring point to start, obtaining associated monitoring data, and confirming and obtaining the primary fault result according to the associated monitoring data comprises the following steps:
Establishing a positive correlation curve of the data difference value and the fault degree, and searching to obtain the fault degree corresponding to the fault point according to the data difference value;
Establishing a positive correlation curve of the fault degree and the monitoring distance, and searching to obtain the corresponding monitoring distance according to the fault degree;
taking the fault point as a circle center, monitoring the distance as a radius, forming a fault area, and searching the monitoring points in the fault area as associated monitoring points;
Starting monitoring equipment of the associated monitoring points to obtain hydraulic data of the associated monitoring points and recording the hydraulic data as associated monitoring data;
And obtaining the fault degree of the associated monitoring points according to the associated monitoring data, selecting the fault point and the monitoring point position with the largest fault degree in the associated monitoring points as the actual fault position, taking the largest fault degree as the actual fault degree, and outputting the primary fault result.
Preferably, the step of starting the monitoring device associated with the monitoring point to obtain the hydraulic data associated with the monitoring point and recording the hydraulic data as the associated monitoring data specifically includes:
acquiring a time point for receiving effective data corresponding to a fault point as a reference time point, and acquiring a distance between an associated monitoring point and the fault monitoring point;
Acquiring water supply water flow speed, and calculating to obtain water flow arrival time according to the distance between the associated monitoring point and the fault monitoring point and the water flow speed;
Calculating to obtain an equipment starting time point according to the water flow arrival time and the reference time point, acquiring a real-time point, and judging whether the real-time point is larger than the equipment starting time point of the related monitoring point;
if the real-time point is larger than the equipment starting time point of the associated monitoring point, starting the monitoring equipment of the associated monitoring point to obtain hydraulic data of the associated monitoring point and recording the hydraulic data as associated monitoring data;
if the real-time point is not greater than the equipment starting time point of the associated monitoring point, starting the monitoring equipment of the associated monitoring point when the equipment starting time point is reached, obtaining hydraulic data of the associated monitoring point and recording the hydraulic data as associated monitoring data.
Preferably, the step of controlling the hydraulic equipment to adjust hydraulic data and outputting a pipeline fault result after verifying the primary fault result specifically comprises the following steps:
controlling hydraulic equipment to adjust hydraulic data, and obtaining a theoretical adjustment value of an actual fault position according to the hydraulic equipment adjusting hydraulic data;
acquiring the change condition of hydraulic monitoring data of an actual fault position and marking the change condition as an actual regulating value;
calculating an adjustment difference value between a theoretical adjustment value and an actual adjustment value, setting a positive correlation curve of the adjustment difference value and a fault degree, searching the fault degree corresponding to the adjustment difference value, and recording the fault degree as a verification fault degree;
Comparing and verifying whether the difference value between the fault degree and the actual fault degree is within a preset standard range, if so, successfully verifying, and outputting a primary fault result as a pipeline fault result;
if the data is not in the preset standard range, the verification fails, the monitoring fault is output as a pipeline fault result and fed back to the effective monitoring module, and the effective monitoring module is controlled to reprocess the data.
In summary, the present application includes at least one of the following beneficial technical effects:
1. And selecting a monitoring point library according to the fault condition, selecting initial monitoring points according to the environmental condition around the monitoring points, selecting monitoring points to start monitoring equipment when the initial monitoring points monitor the fault, and judging according to the monitored hydraulic monitoring data to obtain a monitoring result. A small number of monitoring points are selected for large-range monitoring, and the small-range monitoring points are started to assist in obtaining accurate monitoring results, so that the processing of a large amount of data is reduced, the burden of a server is lightened, and the saving and environmental protection performance of intelligent water service state on-line monitoring management is improved.
2. The data is subjected to edge processing preferentially, the data without abnormal data is stored locally, the average value is generated and sent to the cloud, and effective data and related data are called and sent to the cloud when the data are abnormal, so that the burden of a cloud server is lightened, the data processing speed is improved, more accurate data are obtained more rapidly, and the convenience of intelligent water service state on-line monitoring and management is improved.
3. The crowd distribution is utilized to obtain the predicted water consumption, the preliminary fault judgment is carried out according to the predicted water consumption, the fault judgment is further confirmed by combining the real-time water consumption, and finally, the fault result is verified by adjusting the hydraulic data, so that the accuracy of the monitoring result is improved, the monitoring range is expanded, the condition that the leakage is not found because the leakage of the terminal is counted into the water consumption is reduced, and the accuracy of the intelligent water service state on-line monitoring management is improved.
Drawings
FIG. 1 is a schematic diagram of module connection of an embodiment of an intelligent water service on-line monitoring and management system.
FIG. 2 is a schematic diagram showing the steps of an embodiment of an intelligent water service on-line monitoring and management system.
Reference numerals illustrate: 1. a monitoring module is selected. 2. And an initial monitoring module. 3. And an effective monitoring module. 4. And a fault confirmation module. 5. A primary failure module. 6. And a monitoring result module.
Detailed Description
The present invention will be described in further detail with reference to examples and fig. 1 to 2, but embodiments of the present invention are not limited thereto.
The invention discloses an intelligent water service state on-line monitoring management system, which specifically comprises the following steps:
and the selection monitoring module 1 is used for acquiring a layout diagram and historical fault data of the water supply pipeline network, selecting monitoring points according to the layout diagram and the historical fault data and forming a monitoring point library.
The initial monitoring module 2 is in signal connection with the selection monitoring module 1, acquires the environmental conditions around the monitoring points, and combines the monitoring conditions of the monitoring points to select and obtain the initial monitoring points.
The effective monitoring module 3 is in signal connection with the initial monitoring module 2, monitoring equipment of an initial monitoring point is started, hydraulic monitoring data are obtained through monitoring, effective data judgment is carried out on the hydraulic monitoring data according to crowd distribution conditions to obtain judgment results, and the data are processed according to the judgment results to obtain effective data.
And the fault confirmation module 4 is in signal connection with the effective monitoring module 3, acquires real-time water consumption, and confirms and obtains a fault point of the water supply pipeline network according to the real-time water consumption.
The primary fault module 5 is in signal connection with the fault confirmation module 4, acquires the associated monitoring points of the fault points according to the monitoring point library, controls the monitoring equipment of the associated monitoring points to start, obtains associated monitoring data, and confirms and obtains a primary fault result according to the associated monitoring data.
The monitoring result module 6 is connected with the primary fault module 5 in a signal manner, and is used for controlling the hydraulic equipment to adjust hydraulic data and outputting a pipeline fault result after verifying the primary fault result.
In practical use, the leakage of the water supply pipeline network has a serious influence on the operation of intelligent water service, so that the leakage monitoring of the water supply pipeline network is a very necessary thing. The water supply pipeline network is complex and huge, a large number of monitoring points are arranged to cause resource waste, and when the water supply pipeline network is not leaked, monitoring equipment continuously runs to cause loss, so that resource waste is caused, and useless data is accumulated. For example, a plurality of monitoring points are set for monitoring in real time, a large amount of monitoring data can be stored, a large amount of resources are consumed, and the analysis and the processing are inconvenient due to excessive data. The water supply pipeline network is communicated, a certain point is failed to influence other pipeline positions, a small number of monitoring points are used for monitoring, and part of monitoring points are started when abnormal, so that a large number of unnecessary resource waste can be saved under the condition of monitoring the leakage of the water supply pipeline network, and unnecessary data storage is reduced, so that intelligent water service is monitored more conveniently and environmentally-friendly.
The method comprises the steps of obtaining a layout diagram and historical fault data of a water supply pipeline network, selecting monitoring points according to the layout diagram and the historical fault data, and forming a monitoring point library, and specifically comprises the following steps:
And obtaining a layout diagram and historical fault data of the water supply pipeline network, and extracting the historical fault position of the water supply pipeline network from the historical fault data.
Counting the fault times and the fault degree of the historical fault positions, setting the fault weight ratio of the fault times and the fault degree, and calculating the fault degree of the fault positions according to the fault times, the fault degree and the corresponding fault weight ratio.
And setting a fault degree threshold value, and screening fault positions of which the fault degree reaches the fault degree threshold value as monitoring points to be selected.
And acquiring the distance between the to-be-selected monitoring points, setting a distance threshold value, acquiring the central positions of the two to-be-selected monitoring points if the distance between the two to-be-selected monitoring points does not reach the distance threshold value, and extracting the pipeline position closest to the central position of the water supply pipeline network as a new to-be-selected monitoring point and replacing the original two to-be-selected monitoring points.
And when the distance between all the to-be-selected monitoring points reaches the distance threshold value, counting all the to-be-selected monitoring points as the monitoring points and forming a monitoring point library.
In practical application, because the water supply pipeline network is complex and huge, all positions are difficult to monitor, and a large amount of resources are not wasted to monitor all pipeline positions. The fault high-incidence point can be monitored according to the fault condition, and the leakage of the water supply pipeline network can be monitored to a greater extent under the condition of saving resources. And the monitoring points are selected according to the times and the degree of the faults, so that more fault conditions can be effectively monitored. And some monitoring points to be selected are similar, so that the two monitoring points to be selected can be combined, and resources are saved. For example, three points to be monitored are A, B, C m apart from the threshold value of 10m, and the distance between the point A and the point B is 8 m apart from the point C, and the distance between the point A and the point B does not reach the threshold value, so the central point between the point A and the point B is selected, if the central point is on the pipeline position, the central point is directly used as a new monitored point D, if the central point is not on the pipeline position, a vertical line with the pipeline is used as a new monitored point D, and the vertical intersection point is used as a new monitored point D instead of A, B. The distance between the point D and the point C is 10.5 meters, and the combination is not carried out when the distance threshold value is reached. And if the distance between the new monitoring point D and the new monitoring point C still does not reach the distance threshold value, selecting a new monitoring point E to replace the point C and the point D.
The method comprises the steps of obtaining environmental conditions around the monitoring points, and selecting and obtaining initial monitoring points by combining the monitoring conditions of the monitoring points, wherein the steps are as follows:
and acquiring the environmental conditions around the monitoring points, extracting factors influencing the hydraulic data monitoring process from the environmental conditions, recording the factors as influence factors, and setting an influence threshold of the influence factors.
The environmental conditions comprise temperature, humidity, air pressure and the like, the hydraulic data comprise flow, pressure, vibration, noise and the like, and relevant influence factors are extracted as influence factors. For example, temperature affects flow monitoring as an impact factor on flow monitoring, while noise does not affect flow monitoring as an impact factor on flow monitoring.
And obtaining the average influence value of the influence factors of the positions of the monitoring points, and calculating to obtain an influence difference value of the average influence value exceeding the influence threshold value.
And accumulating all the influence differences to obtain the influence degree of the influence factors on the monitoring points, setting an influence degree threshold, and screening the monitoring points of which the influence degree reaches the influence degree threshold as first monitoring points.
And accumulating the influence degrees of the influence factors on different hydraulic data to obtain the influence degrees of the monitoring points.
And acquiring a monitoring range of the first monitoring point, and screening the first monitoring point meeting the monitoring range requirement from the first monitoring points according to the monitoring range to serve as an initial monitoring point.
In practical application, hydraulic data monitoring comprises monitoring parameters such as pipeline flow, pipeline pressure and the like, and in the monitoring process, the hydraulic data can be influenced by external environment, so that the monitoring accuracy is influenced. For example, an increase in temperature may cause the fluid volume to expand, thereby making the flow measurement larger. Extreme weather conditions may cause the pipe to vibrate more strongly, thereby affecting the flow state of the fluid, causing deviations in the flow monitoring results. In addition, weather such as storm can also bring a large amount of precipitation, increases the volume and the velocity of flow of fluid in the pipeline, further influences the accuracy of flow monitoring. Geological activities such as earthquake can lead to deformation, fracture or displacement of the pipeline, and further influence the flowing state and monitoring result of the fluid. Temperature changes can affect the thermal stress properties of the pipe material, resulting in expansion or contraction of the pipe. Such variations can alter the pressure distribution inside the pipeline, affecting the accuracy of the pressure monitoring. Extreme weather conditions, earthquakes, and other geological activities can affect the accuracy of pressure monitoring. Therefore, for the monitoring points with inaccurate monitoring data, the need of monitoring is avoided, error results are easily caused by the error data, and the more accurate monitoring points of the monitoring results are selected, so that the more accurate monitoring results are obtained.
The method comprises the steps of obtaining a monitoring range of a first monitoring point, screening the first monitoring point meeting the monitoring range requirement from the first monitoring point according to the monitoring range as an initial monitoring point, and specifically comprises the following steps:
the route number AL of the water supply start point reaching the first monitoring point and the route distance sum AZ of the water supply start point reaching the first monitoring point are obtained.
And acquiring the quantity AD of the water supply end points of the first monitoring points of the paths, acquiring the water consumption change average value of the water supply end points of the first monitoring points of the paths, and obtaining a water consumption change value AB after superposition.
Correlating functions according to monitoring rangesCalculating a monitoring range value AF of the first monitoring point, wherein、、、Is a scale factor and greater than 0.
And setting a monitoring range value threshold, and screening a first monitoring point of which the monitoring range value reaches the monitoring range value threshold as an initial monitoring point.
In practical application, the selection of the initial monitoring point is not only to consider the accuracy of the monitoring data, but also to consider the coverage range of the monitoring point. The larger the coverage of the monitoring point is, the larger the coverage area of the water supply pipeline network is as the initial monitoring point, so that the occurrence of missing detection is reduced. The more routes the water supply starting point reaches the first monitoring point, the more the leakage condition of the routes is indicated, the first monitoring point can be monitored. Meanwhile, the farther the water supply starting point is from the first monitoring point, the larger the covered water supply pipeline area is. And the more the water supply end point is, the larger the fluctuation of the water consumption amount is. If the original water consumption of the water supply end point fluctuates greatly, the accuracy of the data analysis result is more affected. For example, if there are 3 lines from the water supply start point to the first monitoring point a, leakage occurs in the pipes of the 3 lines, which affects the flow and pressure change at the point a. And the farther the pipe distance is, the longer the monitored pipe length and the larger the coverage. And the water supply terminal passing through the point A is provided with a first cell and a second cell, and if the fluctuation range of the water consumption of the first cell is 300 tons to 320 tons, the fluctuation range of the water consumption of the second cell is 280 tons to 350 tons. The water usage reference value of the flow rate at the point a fluctuates between 580 tons and 670 tons. If the fluctuation range of the cells is increased and the number of the cells for water supply is increased, the fluctuation range of the water consumption reference value of the flow of the point A is larger, and the accuracy of the analysis result of the data is more affected.
Starting monitoring equipment of an initial monitoring point, monitoring to obtain hydraulic monitoring data, judging the hydraulic monitoring data to obtain a judging result according to crowd distribution conditions, and processing the data to obtain the effective data according to the judging result, wherein the method specifically comprises the following steps of:
And controlling monitoring equipment of the initial monitoring point to be started, collecting hydraulic monitoring data of the initial monitoring point, and carrying out edge calculation on the hydraulic monitoring data to obtain a hydraulic variation value of the hydraulic monitoring data.
Obtaining crowd distribution conditions, obtaining predicted water consumption according to the crowd distribution conditions, setting a hydraulic change value range according to the predicted water consumption, judging hydraulic monitoring data as invalid data when the hydraulic change value does not exceed the hydraulic change value range, and storing the invalid data locally.
Setting a standard time period, calculating invalid data in the standard time period through edges to obtain a hydraulic average value, and uploading the hydraulic average value to the cloud.
And when the hydraulic change value exceeds the hydraulic change value range, the hydraulic monitoring data are considered to be effective data, and the effective data are transmitted to the cloud.
And acquiring a monitoring time point of the effective data, and synchronously transmitting the ineffective data of the latest standard time period in the monitoring time point to the cloud.
In actual application, all monitoring points do not need to be started for monitoring, and monitoring equipment for controlling the monitoring points according to actual conditions is started, so that resources can be effectively saved. The water supply pipeline network is in an uncorrupted state most of the time, which results in that much of the monitored data is not useful for leak analysis, and is invalid. The accumulation of invalid data increases the burden of storage on one hand, and slows down and interferes with data analysis on the other hand, so that the data is processed before the data analysis, and the efficiency of the running system can be improved. The data is not required to be uploaded to the cloud through edge calculation, so that the burden of a cloud server is reduced, and a result can be obtained more quickly. For example, the monitoring device continuously monitors, one second generates one data, but in practice these data hardly change much, so many are invalid data. Firstly, collecting hydraulic data in a period of time, and directly calculating a change value by the edge to know the fluctuation condition of the hydraulic power. And setting a hydraulic data change range according to the predicted water consumption, and judging whether the pipeline is abnormal or not. If no abnormality occurs, normal data does not need to be uploaded to the cloud end, unnecessary operation is reduced, and redundant data is reduced by uploading average values. The abnormal data is considered to be useful for judging the pipeline leakage fault, so that the abnormal data is uploaded to the cloud as effective data to be confirmed in the next step. And uploading monitoring data in an abnormal time period so that the cloud end can be used as auxiliary data for checking and analyzing.
The method comprises the steps of obtaining crowd distribution conditions and obtaining predicted water consumption according to the crowd distribution conditions, wherein the steps are as follows:
and obtaining water supply coverage areas according to the layout, and dividing the water supply coverage areas to obtain a plurality of water supply areas.
And counting the number of vehicles in the area according to the edge cameras of the water supply area, and predicting the number of the first personnel flowing according to the number of the vehicles.
And counting the personnel flowing in the area by combining the edge camera to obtain the flowing quantity of the second personnel.
And obtaining the flowing quantity of the third personnel according to the people flow data of the people flow occasion counted in the water supply area.
The first personnel flow quantity, the second personnel flow quantity and the third personnel flow quantity are superposed to obtain the total flow quantity.
And acquiring the average water consumption of the water supply coverage area, and calculating to obtain the predicted water consumption of the water supply area by combining the total flowing quantity and the average water consumption.
In practical application, the real-time water consumption data can reflect the water consumption condition of a user in real time, and is helpful for finding out leakage problems in time. However, there are cases where the water supply pipe is broken but is mistaken for user water consumption, in which case the change in hydraulic data is considered normal, but in reality the water supply pipe network has been leaked. Therefore, the predicted water consumption according to the crowd distribution situation can reduce the situation that the leakage is not monitored to a greater extent, for example, the predicted water consumption is 300 tons, the flow of the pipeline is 3.5 liters/second at the moment, but the flow of the pipeline actually reaches 7 liters/second, the situation is considered to be abnormal, and the situation that the water supply pipeline network terminal leaks, but the water meter still counts exists. According to vehicles, personnel and people flow statistics occasions in the area, the personnel flow situation is obtained, and the variation of the people flow is counted in some scenic spots and markets. And obtaining the personnel flow driven by the vehicle according to the number of the vehicles and the average number of passengers in the vehicles.
The fault confirming module 4 is in signal connection with the effective monitoring module 3, acquires real-time water consumption, confirms the step of obtaining the fault point of the water supply pipeline network according to the real-time water consumption, and specifically comprises the following steps:
And acquiring real-time water consumption, calculating a water consumption difference value between the real-time water consumption and the predicted water consumption, setting a water consumption difference value threshold, and comparing effective data with corresponding data of the real-time water consumption to obtain a fault point if the water consumption difference value does not reach the water consumption difference value threshold.
If the water quantity difference reaches the water quantity difference threshold, starting the monitoring equipment at the water quantity counting equipment, and counting the corresponding monitoring points as primary monitoring points to obtain hydraulic monitoring data around the water quantity counting equipment and counting the hydraulic monitoring data as primary monitoring data.
Judging whether the primary monitoring points fail according to the primary monitoring data, and if the primary monitoring points fail, marking the primary monitoring points as failure points.
If the primary monitoring point does not fail, the real-time water consumption is sent to the effective monitoring module 3, the predicted water consumption is updated to the real-time water consumption, and effective data are received again.
In practical application, whether abnormality occurs is judged through the real-time water consumption, and if the flow suddenly increases, the real-time water consumption also suddenly increases, so that the phenomenon is normal. And obtaining standard hydraulic data of the pipeline according to the real-time water consumption, comparing the standard hydraulic data with the effective data, and determining whether the monitoring point is in a normal range or not so as to judge whether the monitoring point is faulty or not, and if the monitoring point is faulty, marking the monitoring point as a fault point. If the deviation between the predicted water consumption and the real-time water consumption is not large, the situation that the terminal fault is not generated but the water meter counts is indicated. If the deviation between the predicted water consumption and the real-time water consumption is too large, the situation that the terminal fault is likely to occur but the water meter counts is described, at the moment, monitoring equipment is started by monitoring points around equipment such as the water meter for controlling the water meter counts, whether the fault occurs around the water meter is judged, if the fault occurs around the water meter, the situation that the terminal fault occurs but the water meter counts is determined, and the fault point is determined. If no fault occurs around the water meter, the prediction of the predicted water consumption is inaccurate for some reasons, and at the moment, the fault judgment cannot be performed according to the predicted water consumption, so that the real-time water consumption needs to be replaced by the predicted water consumption, and effective data is acquired again.
Acquiring the associated monitoring points of the fault points according to the monitoring point library, controlling the monitoring equipment of the associated monitoring points to start, obtaining associated monitoring data, and confirming and obtaining a primary fault result according to the associated monitoring data, wherein the method specifically comprises the following steps:
And establishing a positive correlation curve of the data difference value and the fault degree, and searching to obtain the fault degree corresponding to the fault point according to the data difference value.
And establishing a positive correlation curve of the fault degree and the monitoring distance, and searching according to the fault degree to obtain the corresponding monitoring distance.
And taking the fault point as a circle center, taking the monitoring distance as a radius, forming a fault area, and searching the monitoring points in the fault area as associated monitoring points.
And starting the monitoring equipment of the associated monitoring points to obtain the hydraulic data of the associated monitoring points and recording the hydraulic data as the associated monitoring data.
And obtaining the fault degree of the associated monitoring points according to the associated monitoring data, selecting the fault point and the monitoring point position with the largest fault degree in the associated monitoring points as the actual fault position, taking the largest fault degree as the actual fault degree, and outputting the primary fault result.
In practical application, all monitoring points are monitored and compared to waste monitoring resources, and the monitoring points are selectively started to monitor through the fault degree of the initial monitoring points, so that resources can be effectively saved, and the monitoring effect is not influenced. The more severe the fault at the fault point, the greater the impact on the remaining water supply lines, and the easier it is to monitor the fault condition. For example, the flow rate at the point A is theoretically 4 liters/second, but in practice, the flow rate of the pipeline is only 2 liters/second, which indicates that obvious leakage occurs, the flow rate of the pipeline also changes at the point C which is 100 meters away from the point A, and the flow rate at the point C is also reduced by monitoring at the moment, so that the leakage actually occurs at the point A can be further indicated. However, if the flow rate at the point A is 4.7L/s, the flow rate at the point C has little change, and even if the point C is monitored, the flow rate does not play a great auxiliary role.
Starting monitoring equipment of the associated monitoring points, obtaining hydraulic data of the associated monitoring points and recording the hydraulic data as associated monitoring data, wherein the method specifically comprises the following steps of:
and acquiring a time point for receiving the effective data corresponding to the fault point as a reference time point, and acquiring the distance between the associated monitoring point and the fault monitoring point.
And obtaining the water flow speed of the water supply, and calculating to obtain the water flow arrival time according to the distance between the related monitoring point and the fault monitoring point and the water flow speed.
And calculating to obtain an equipment starting time point according to the water flow arrival time and the reference time point, acquiring a real-time point, and judging whether the real-time point is larger than the equipment starting time point of the related monitoring point.
If the real-time point is larger than the equipment starting time point of the associated monitoring point, starting the monitoring equipment of the associated monitoring point, obtaining the hydraulic data of the associated monitoring point and recording the hydraulic data as the associated monitoring data.
If the real-time point is not greater than the equipment starting time point of the associated monitoring point, starting the monitoring equipment of the associated monitoring point when the equipment starting time point is reached, obtaining hydraulic data of the associated monitoring point and recording the hydraulic data as associated monitoring data.
In practical application, the water flow speed can influence the time from one point to another point, and when faults do not occur, the flow of all pipelines is instantly influenced, so that when the monitoring equipment of the related monitoring points is started, the starting time is required to be set. For example, when the point A fails, the monitoring equipment at the point C is started, the water flow at the point A is obtained according to the water flow speed for 30 seconds and then reaches the point C, namely, when the point A fails, the point C is affected after 30 seconds, more effective data can not be obtained in real time monitoring, the storage of ineffective data can be reduced by setting the monitoring time, and the resources of the detection equipment are saved.
The method comprises the steps of controlling hydraulic equipment to adjust hydraulic data, and outputting a pipeline fault result after verifying a primary fault result, wherein the method comprises the following specific steps:
And controlling the hydraulic equipment to adjust the hydraulic data, and obtaining a theoretical adjustment value of the actual fault position according to the hydraulic equipment adjusting hydraulic data.
And acquiring the change condition of the hydraulic monitoring data of the actual fault position and recording the change condition as an actual regulating value.
Calculating an adjustment difference value between the theoretical adjustment value and the actual adjustment value, setting a positive correlation curve of the adjustment difference value and the fault degree, searching the fault degree corresponding to the adjustment difference value, and recording the fault degree as verification fault degree.
Comparing and verifying whether the difference value between the fault degree and the actual fault degree is within a preset standard range, if so, successfully verifying, and outputting a primary fault result as a pipeline fault result.
If the data is not in the preset standard range, the verification fails, the monitoring fault is output as a pipeline fault result and fed back to the effective monitoring module 3, and the effective monitoring module 3 is controlled to reprocess the data.
In practical application, finally, whether the fault position is faulty or not is judged by adjusting the hydraulic data, namely the parameters such as water flow rate and the like. For example, point A theoretical flow value is 4 liters/second, point A theoretically drops by 2 liters/second after hydraulic data is adjusted, but in practice point A drops by 3 liters/second, the adjustment difference is 1 liter/second. Therefore, the larger the difference value is, the more serious the fault degree is, and the error between the fault degree and the actual fault degree is not large, so that the accurate monitoring result is indicated. If the error is serious, the fault of the monitoring is indicated, and feeding back and re-monitoring in real time to achieve the self-checking effect.
The implementation principle of the system is as follows: the selection monitoring module 1 acquires a layout diagram and historical fault data of the water supply pipeline network, selects monitoring points according to the layout diagram and the historical fault data and forms a monitoring point library. The initial monitoring module 2 is in signal connection with the selection monitoring module 1, acquires the environmental conditions around the monitoring points, and judges the accuracy of monitoring data of the monitoring points and the coverage range according to the conditions around the monitoring points so as to select the initial monitoring points. The effective monitoring module 3 is connected with the initial monitoring module 2 in a signal way, monitoring equipment of an initial monitoring point is started, hydraulic monitoring data are obtained through monitoring, predicted water consumption is obtained according to crowd distribution conditions, whether the data are abnormal or not is judged, and effective data are obtained through screening. The fault confirming module 4 is in signal connection with the effective monitoring module 3, acquires real-time water consumption, and confirms and obtains a fault point of the water supply pipeline network according to the real-time water consumption. The primary fault module 5 is in signal connection with the fault confirmation module 4, acquires the associated monitoring points of the fault points according to the monitoring point library, controls the monitoring equipment of the associated monitoring points to start at set time, obtains associated monitoring data, and confirms and obtains a primary fault result according to the associated monitoring data. The monitoring result module 6 is connected with the primary fault module 5 in a signal manner, and is used for controlling the hydraulic equipment to adjust hydraulic data and outputting a pipeline fault result after verifying the primary fault result.
The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.
Claims (10)
1. An intelligent water service state on-line monitoring and management system is characterized by comprising the following steps:
The selection monitoring module (1) is used for acquiring a layout diagram and historical fault data of the water supply pipeline network, selecting monitoring points according to the layout diagram and the historical fault data and forming a monitoring point library;
the initial monitoring module (2) is in signal connection with the selection monitoring module (1) to acquire the environmental conditions around the monitoring points, and the initial monitoring points are selected in combination with the monitoring conditions of the monitoring points;
the effective monitoring module (3) is in signal connection with the initial monitoring module (2), monitoring equipment of an initial monitoring point is started, hydraulic monitoring data are obtained through monitoring, effective data judgment is carried out on the hydraulic monitoring data according to crowd distribution conditions to obtain a judgment result, and the data are processed according to the judgment result to obtain effective data;
the fault confirming module (4) is in signal connection with the effective monitoring module (3) to acquire real-time water consumption, and confirms to acquire a fault point of the water supply pipeline network according to the real-time water consumption;
The primary fault module (5) is in signal connection with the fault confirmation module (4), acquires the associated monitoring points of the fault points according to the monitoring point library, controls the monitoring equipment of the associated monitoring points to start, obtains associated monitoring data, and confirms and obtains a primary fault result according to the associated monitoring data;
The monitoring result module (6) is connected with the primary fault module (5) in a signal manner, and is used for controlling the hydraulic equipment to adjust hydraulic data and outputting a pipeline fault result after verifying the primary fault result.
2. The on-line monitoring and managing system for intelligent water service state according to claim 1, wherein the step of obtaining the layout diagram and the historical fault data of the water supply pipeline network, selecting the monitoring points according to the layout diagram and the historical fault data and forming the monitoring point library comprises the following steps:
Acquiring a layout diagram and historical fault data of a water supply pipeline network, and extracting the historical fault position of the water supply pipeline network from the historical fault data;
Counting the fault times and the fault degree of the historical fault positions, setting the fault weight ratio of the fault times and the fault degree, and calculating the fault degree of the fault positions according to the fault times, the fault degree and the corresponding fault weight ratio;
setting a fault degree threshold value, and screening fault positions of which the fault degree reaches the fault degree threshold value as monitoring points to be selected;
Acquiring the distance between the to-be-selected monitoring points, setting a distance threshold value, acquiring the central positions of the two to-be-selected monitoring points if the distance between the two to-be-selected monitoring points does not reach the distance threshold value, and extracting the pipeline position closest to the central position of the water supply pipeline network as a new to-be-selected monitoring point and replacing the original two to-be-selected monitoring points;
And when the distance between all the to-be-selected monitoring points reaches the distance threshold value, counting all the to-be-selected monitoring points as the monitoring points and forming a monitoring point library.
3. The on-line intelligent water service state monitoring and managing system according to claim 2, wherein the step of obtaining the initial monitoring point by combining the environmental conditions around the monitoring point and the monitoring conditions of the monitoring point is specifically:
Acquiring environmental conditions around a monitoring point, extracting factors influencing the hydraulic data monitoring process from the environmental conditions, marking the factors as influence factors, and setting an influence threshold of the influence factors;
acquiring an average influence value of the influence factors of the positions of the monitoring points, and calculating to obtain an influence difference value of the average influence value exceeding an influence threshold value;
Accumulating all the influence differences to obtain the influence degree of the influence factors on the monitoring points, setting an influence degree threshold, and screening the monitoring points with the influence degree reaching the influence degree threshold as first monitoring points;
and acquiring a monitoring range of the first monitoring point, and screening the first monitoring point meeting the monitoring range requirement from the first monitoring points according to the monitoring range to serve as an initial monitoring point.
4. The on-line intelligent water service state monitoring and managing system according to claim 3, wherein the step of obtaining the monitoring range of the first monitoring point, and selecting the first monitoring point meeting the monitoring range requirement from the first monitoring points as the initial monitoring point according to the monitoring range comprises the following specific steps:
obtaining the number AL of routes from the water supply starting point to the first monitoring point and the sum AZ of the distances from the water supply starting point to the first monitoring point;
Acquiring the quantity AD of water supply terminals of the first monitoring points of the path, acquiring the water consumption change average value of the water supply terminals of the first monitoring points of the path, and obtaining a water consumption change value AB after superposition;
correlating functions according to monitoring ranges Calculating a monitoring range value AF of the first monitoring point, wherein、、、Is a scale factor and greater than 0;
And setting a monitoring range value threshold, and screening a first monitoring point of which the monitoring range value reaches the monitoring range value threshold as an initial monitoring point.
5. The on-line monitoring and managing system for intelligent water affairs according to claim 4, wherein the monitoring device for starting the initial monitoring point monitors to obtain hydraulic monitoring data, determines the effective data of the hydraulic monitoring data according to the crowd distribution situation to obtain a determination result, and processes the data according to the determination result to obtain the effective data, which comprises the following steps:
Controlling monitoring equipment of an initial monitoring point to be started, collecting hydraulic monitoring data of the initial monitoring point, and performing edge calculation on the hydraulic monitoring data to obtain a hydraulic variation value of the hydraulic monitoring data;
obtaining crowd distribution conditions, obtaining predicted water consumption according to the crowd distribution conditions, setting a hydraulic change value range according to the predicted water consumption, judging hydraulic monitoring data as invalid data when the hydraulic change value does not exceed the hydraulic change value range, and storing the invalid data locally;
Setting a standard time period, calculating invalid data in the standard time period through edges to obtain a hydraulic average value, and uploading the hydraulic average value to a cloud;
When the hydraulic change value exceeds the hydraulic change value range, the hydraulic monitoring data are considered to be effective data, and the effective data are transmitted to the cloud;
And acquiring a monitoring time point of the effective data, and synchronously transmitting the ineffective data of the latest standard time period in the monitoring time point to the cloud.
6. The on-line intelligent water service state monitoring and management system according to claim 5, wherein the step of obtaining the crowd distribution situation and obtaining the predicted water consumption according to the crowd distribution situation comprises the following steps:
obtaining a water supply coverage area according to the layout diagram, and dividing the water supply coverage area to obtain a plurality of water supply areas;
counting the number of vehicles in the area according to the edge cameras of the water supply area, and predicting the number of the first personnel to obtain the number of the first personnel to flow according to the number of the vehicles;
counting the flow of people in the area by combining the edge camera to obtain the flow quantity of the second people;
According to people flow data of people flow occasion statistics in the water supply area, obtaining the third people flow quantity;
Superposing the first personnel flow quantity, the second personnel flow quantity and the third personnel flow quantity to obtain a total flow quantity;
And acquiring the average water consumption of the water supply coverage area, and calculating to obtain the predicted water consumption of the water supply area by combining the total flowing quantity and the average water consumption.
7. The on-line intelligent water service state monitoring and management system according to claim 6, wherein the fault confirmation module (4) is connected with the effective monitoring module (3) in a signal manner, acquires real-time water consumption, and confirms the fault point of the water supply pipeline network according to the real-time water consumption, and specifically comprises the following steps:
Acquiring real-time water consumption, calculating a water consumption difference value between the real-time water consumption and the predicted water consumption, setting a water consumption difference value threshold, and if the water consumption difference value does not reach the water consumption difference value threshold, comparing effective data with corresponding data of the real-time water consumption to obtain a fault point;
If the water quantity difference value reaches the water quantity difference value threshold value, starting monitoring equipment at the water quantity counting equipment, and recording corresponding monitoring points as primary monitoring points to obtain hydraulic monitoring data around the water quantity counting equipment and recording the hydraulic monitoring data as primary monitoring data;
Judging whether the primary monitoring points fail according to the primary monitoring data, and if the primary monitoring points fail, marking the primary monitoring points as failure points;
If the primary monitoring point does not fail, the real-time water consumption is sent to the effective monitoring module (3), the predicted water consumption is updated to the real-time water consumption, and effective data are received again.
8. The system for on-line monitoring and managing intelligent water affair according to claim 7, wherein the steps of obtaining the associated monitoring point of the fault point according to the monitoring point library, controlling the monitoring device of the associated monitoring point to start, obtaining the associated monitoring data, and confirming the primary fault result according to the associated monitoring data are as follows:
Establishing a positive correlation curve of the data difference value and the fault degree, and searching to obtain the fault degree corresponding to the fault point according to the data difference value;
Establishing a positive correlation curve of the fault degree and the monitoring distance, and searching to obtain the corresponding monitoring distance according to the fault degree;
taking the fault point as a circle center, monitoring the distance as a radius, forming a fault area, and searching the monitoring points in the fault area as associated monitoring points;
Starting monitoring equipment of the associated monitoring points to obtain hydraulic data of the associated monitoring points and recording the hydraulic data as associated monitoring data;
And obtaining the fault degree of the associated monitoring points according to the associated monitoring data, selecting the fault point and the monitoring point position with the largest fault degree in the associated monitoring points as the actual fault position, taking the largest fault degree as the actual fault degree, and outputting the primary fault result.
9. The on-line monitoring and managing system for intelligent water affairs according to claim 8, wherein the step of starting the monitoring device associated with the monitoring point to obtain the hydraulic data associated with the monitoring point and record the hydraulic data as the associated monitoring data is specifically as follows:
acquiring a time point for receiving effective data corresponding to a fault point as a reference time point, and acquiring a distance between an associated monitoring point and the fault monitoring point;
Acquiring water supply water flow speed, and calculating to obtain water flow arrival time according to the distance between the associated monitoring point and the fault monitoring point and the water flow speed;
Calculating to obtain an equipment starting time point according to the water flow arrival time and the reference time point, acquiring a real-time point, and judging whether the real-time point is larger than the equipment starting time point of the related monitoring point;
if the real-time point is larger than the equipment starting time point of the associated monitoring point, starting the monitoring equipment of the associated monitoring point to obtain hydraulic data of the associated monitoring point and recording the hydraulic data as associated monitoring data;
if the real-time point is not greater than the equipment starting time point of the associated monitoring point, starting the monitoring equipment of the associated monitoring point when the equipment starting time point is reached, obtaining hydraulic data of the associated monitoring point and recording the hydraulic data as associated monitoring data.
10. The on-line intelligent water service state monitoring and managing system according to claim 9, wherein the step of controlling the hydraulic equipment to adjust the hydraulic data and outputting the pipeline fault result after verifying the primary fault result comprises the following steps:
controlling hydraulic equipment to adjust hydraulic data, and obtaining a theoretical adjustment value of an actual fault position according to the hydraulic equipment adjusting hydraulic data;
acquiring the change condition of hydraulic monitoring data of an actual fault position and marking the change condition as an actual regulating value;
calculating an adjustment difference value between a theoretical adjustment value and an actual adjustment value, setting a positive correlation curve of the adjustment difference value and a fault degree, searching the fault degree corresponding to the adjustment difference value, and recording the fault degree as a verification fault degree;
Comparing and verifying whether the difference value between the fault degree and the actual fault degree is within a preset standard range, if so, successfully verifying, and outputting a primary fault result as a pipeline fault result;
If the data is not in the preset standard range, the verification fails, the monitoring fault is output as a pipeline fault result and fed back to the effective monitoring module (3), and the effective monitoring module (3) is controlled to reprocess the data.
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