CN115035475A - Water supply pipeline real-time monitoring method and device, electronic equipment and medium - Google Patents
Water supply pipeline real-time monitoring method and device, electronic equipment and medium Download PDFInfo
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Abstract
The application relates to the field of pipe network detection technology, in particular to a water supply pipeline real-time monitoring method, a device, electronic equipment and a medium, wherein the method comprises the steps of obtaining a current water pressure value of a water supply pipeline in a target monitoring area; comparing the current water pressure value with a preset standard water pressure value, and judging whether the water pressure abnormality exists in the target monitoring area; when the water pressure in the target monitoring area is abnormal, determining an abnormal source area from preset pipeline information according to the target monitoring area; determining a plurality of abnormal water inlet pipelines of the abnormal source region according to the water flow direction; acquiring monitoring parameter information of each abnormal water inlet pipeline; determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline; and generating maintenance information according to the plurality of abnormal probabilities, wherein the maintenance information is convenient for related workers to quickly position the target abnormal water inlet pipeline. This application has when the water supply line leakage appears, in time discovers the effect of leakage position.
Description
Technical Field
The application relates to the field of pipe network detection technology, in particular to a water supply pipeline real-time monitoring method and device, electronic equipment and a medium.
Background
Along with economic society's continuous development, in order to satisfy people's life and industrial and agricultural's demand, the scale of water supply pipe line is bigger and bigger, but along with the scale of water supply pipe network is bigger and bigger, the probability that water supply pipe network goes wrong also is bigger and bigger. If water supply pipe takes place to leak or damage at the water supply in-process, not only can cause the waste of water resource, still can lead to the regional soil erosion and water loss that appears of pipeline leakage, cause the regional underground cavity that appears of leakage, influence the safety of pedestrian and vehicle.
Among the correlation technique, when carrying out the leakage detection to the water supply line, carry out regional division with the water supply line usually, need relevant staff artificial after dividing the region to carry out the leakage detection to all water supply pipe in the monitored area in a certain period of time, but when the leakage appears in the water supply line, can't fix a position the leakage abnormal position fast.
Disclosure of Invention
In order to find the leakage position in time when the water supply pipeline has leakage, the application provides a water supply pipeline real-time monitoring method, a water supply pipeline real-time monitoring device, electronic equipment and a medium.
In a first aspect, the present application provides a water supply pipeline real-time monitoring method, which adopts the following technical scheme:
the water supply pipeline real-time monitoring method comprises the following steps:
acquiring a current water pressure value of a water supply pipeline in a target monitoring area;
comparing the current water pressure value with a preset standard water pressure value, and judging whether the water pressure abnormality exists in the target monitoring area;
when the water pressure in the target monitoring area is abnormal, determining an abnormal source area from preset pipeline information according to the target monitoring area;
determining a plurality of abnormal water inlet pipelines of the abnormal source region according to the water flow direction;
acquiring monitoring parameter information of each abnormal water inlet pipeline, wherein the monitoring parameter information comprises road condition image information and humidity information;
determining the abnormal probability corresponding to each abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline;
and generating maintenance information according to the plurality of abnormal probabilities, wherein the maintenance information is convenient for related workers to quickly position the target abnormal water inlet pipeline.
By adopting the technical scheme, the current water pressure value of the water supply pipeline of the target monitoring area is obtained, the current water pressure value is compared with the preset standard water pressure value, if the water pressure value at the target monitoring area is detected to be abnormal, the abnormal source area is determined according to the preset pipeline information, then the abnormal water inlet pipelines of the abnormal source area are determined according to the water flow direction, the monitoring parameter information is formed by obtaining the road condition image information and the humidity information of each abnormal water inlet pipeline, the abnormal probability of each abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, the overhaul information is generated according to the abnormal probability, and related workers can find the leakage position in time when the water supply pipeline is leaked according to the overhaul information.
In a possible implementation manner, the comparing the current water pressure value with a preset standard water pressure value to determine whether there is a water pressure abnormality in the target monitoring area includes:
comparing the current water pressure value with a preset standard water pressure range, and if the current water pressure value exceeds the preset standard water pressure range, judging whether the current moment is a water consumption peak moment;
if the current time is the water consumption peak time, judging whether the current water pressure value exceeds a preset water pressure limit value range;
and if the current water pressure value exceeds the range of the preset water pressure limit value, determining that the water pressure abnormality exists in the target monitoring area.
By adopting the technical scheme, whether the current water pressure value exceeds the preset standard water pressure range or not is judged, if the current water pressure value exceeds the preset standard water pressure range, whether the current time is the water consumption peak time or not is judged, if the current time is the water consumption peak time, whether the current water pressure value exceeds the preset water pressure limit range or not is judged, if the current water pressure value exceeds the preset water pressure limit range, the water pressure abnormity exists in the target monitoring area is determined, whether the water pressure abnormity exists in the target monitoring area is determined through a plurality of judgment conditions, and the accuracy of determining the water pressure abnormity is facilitated to be improved.
In a possible implementation manner, when there is a water pressure abnormality in the target monitoring area, determining an abnormal source area from preset pipeline information according to the target monitoring area includes:
determining all branches containing the target monitoring area from a preset pipeline diagram according to the target monitoring area, wherein each branch at least comprises one monitoring area;
and determining an abnormal source region in each branch according to the water flow direction of each branch.
By adopting the technical scheme, all the branch circuits containing the target monitoring area are obtained according to the preset pipeline diagram, the abnormal source area in each branch circuit is determined according to the water flow direction, and the overhaul efficiency of the whole water supply pipeline is improved by overhauling the abnormal source area.
In a possible implementation manner, the determining, according to the monitoring parameter information of each abnormal water inlet pipeline, an abnormal probability corresponding to the abnormal water inlet pipeline includes:
carrying out image recognition on the road condition image information, and judging whether construction behaviors exist in the road condition image information or not;
if the construction behavior exists, generating prediction information, wherein the prediction information can represent the probability that the construction behavior influences the water inlet pipeline to have abnormity;
and generating the abnormal probability corresponding to each water inlet pipeline according to the humidity information of each abnormal water inlet pipeline and the prediction information.
By adopting the technical scheme, the construction behaviors in the road condition image are determined by carrying out image recognition on the road condition image information, the abnormal prediction information of the abnormal water inlet pipeline caused by the construction behaviors is determined according to the construction behaviors, the abnormal probability corresponding to each abnormal water inlet pipeline is determined by utilizing the prediction information and the humidity information, and the abnormal probabilities are used for overhauling the abnormal water inlet pipelines, so that the overhauling efficiency is improved.
In a possible implementation manner, after generating the overhaul information according to the plurality of anomaly probabilities, the method further includes:
when the target abnormal water inlet pipeline is determined according to the maintenance information, the maintenance time is recorded;
and if the number of times of overhauling the target abnormal water inlet pipeline within the preset time exceeds a preset threshold, generating reconstruction information corresponding to the target abnormal water inlet pipeline.
By adopting the technical scheme, whether the overhaul times exceed the preset threshold value in the preset time is judged by recording the overhaul time of the abnormal target water inlet pipeline, and then whether the abnormal target water inlet pipeline is reconstructed is judged, if the overhaul times exceed the preset threshold value in the preset time, reconstruction information is generated, and the reconstruction information is used for suggesting a relevant management unit to repair the abnormal target water inlet pipeline, so that the high-frequency leakage is avoided, and the workload of relevant workers is reduced.
In one possible implementation manner, the method further includes:
recording the acquisition time after acquiring the current water pressure value of the water supply pipeline of the target monitoring area;
generating a pressure-time change curve according to the current water pressure value and the acquisition time;
calling a correlation pressure-time change curve corresponding to a correlation area of the target monitoring area;
combining the pressure-time change curve with the associated pressure-time change curve to obtain a final pressure-time change curve;
and predicting the water pressure change trend according to the final pressure-time change curve, and generating early warning information.
By adopting the technical scheme, the water pressure value and the corresponding acquisition time of the target monitoring area are acquired, the pressure-time change curve is obtained according to each water pressure value and the corresponding acquisition time, the associated pressure-time change curve corresponding to the associated area of the target monitoring area is called, the pressure-time change curve and the associated pressure-time change curve of the target monitoring area are combined to obtain the final pressure-time change curve, the water pressure value is predicted according to the final pressure-time change curve to obtain the water pressure change trend, and the early warning information is generated according to the water pressure change trend and used for reminding relevant workers to take corresponding protection measures according to the pressure change trend, so that the loss caused by the leakage of the water supply pipeline is reduced.
In one possible implementation manner, the method further includes:
determining a correlation area by taking the target monitoring area as a center and a preset distance as a radius;
determining all monitoring areas in the associated areas as initial associated monitoring areas;
and determining an initial associated monitoring area for supplying water to the target monitoring area as an associated monitoring area.
By adopting the technical scheme, the association area is determined by taking the target monitoring area as the center and taking the preset distance as the radius, the monitoring area which supplies water to the target monitoring area in the association area is determined as the association monitoring area, and the association monitoring area is determined by the preset distance and the water supply relation, so that the association between the target monitoring area and the association monitoring area is favorably improved.
In a second aspect, the present application provides a water supply pipeline real-time monitoring device, which adopts the following technical scheme:
the real-time monitoring device for water supply pipeline comprises
The acquisition module is used for acquiring the current water pressure value of a water supply pipeline in the target monitoring area;
the abnormal judgment module is used for comparing the current water pressure value with a preset standard water pressure value and judging whether the water pressure in the target monitoring area is abnormal or not;
the abnormal source determining module is used for determining an abnormal source region from preset pipeline information according to the target monitoring region when the water pressure in the target monitoring region is abnormal;
the water inlet pipeline determining module is used for determining a plurality of abnormal water inlet pipelines of the abnormal source area according to the water flow direction;
the system comprises a monitoring parameter acquisition module, a monitoring parameter acquisition module and a monitoring parameter analysis module, wherein the monitoring parameter acquisition module is used for acquiring monitoring parameter information of each abnormal water inlet pipeline, and the monitoring parameter information comprises road condition image information and humidity information;
the abnormal probability determining module is used for determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline;
and the maintenance information generation module is used for generating maintenance information according to a plurality of abnormal probabilities, and the maintenance information is convenient for related workers to quickly position the target abnormal water inlet pipeline.
By adopting the technical scheme, the current water pressure value of the water supply pipeline of the target monitoring area is obtained, the current water pressure value is compared with the preset standard water pressure value, if the water pressure value at the target monitoring area is detected to be abnormal, the abnormal source area is determined according to the preset pipeline information, then the abnormal water inlet pipelines of the abnormal source area are determined according to the water flow direction, the monitoring parameter information is formed by obtaining the road condition image information and the humidity information of each abnormal water inlet pipeline, the abnormal probability of each abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, the overhaul information is generated according to the abnormal probability, and related workers can find the leakage position in time when the water supply pipeline is leaked according to the overhaul information.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: the method for monitoring the water supply pipeline in real time is implemented.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, comprising: a computer program is stored which can be loaded by a processor and which implements the method for real-time monitoring of a water supply line as described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps of obtaining a current water pressure value of a water supply pipeline of a target monitoring area, comparing the current water pressure value with a preset standard water pressure value, determining an abnormal source area according to preset pipeline information if the water pressure value at the target monitoring area is detected to be abnormal, determining a plurality of abnormal water inlet pipelines of the abnormal source area according to the water flow direction, forming monitoring parameter information by obtaining road condition image information and humidity information of each abnormal water inlet pipeline, determining the abnormal probability of each abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline, generating maintenance information according to the abnormal probability, and conveniently finding leakage positions when related workers generate leakage in the water supply pipeline according to the maintenance information.
Drawings
FIG. 1 is a schematic flow chart of a method for real-time monitoring of a water supply line in an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a water supply line real-time monitoring device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
A person skilled in the art, after reading the present specification, may make modifications to the present embodiments as necessary without inventive contribution, but only within the scope of the claims of the present application are protected by patent laws.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to find out leakage positions in time when the water supply pipeline leaks, in the embodiment of the application, the current water pressure value of the water supply pipeline in a target monitoring area is obtained, the current water pressure value is compared with a preset standard water pressure value, if the water pressure value in the target monitoring area is detected to be abnormal, an abnormal source area is determined according to preset pipeline information, a plurality of abnormal water inlet pipelines of the abnormal source area are determined according to the water flow direction, monitoring parameter information is formed by obtaining road condition image information and humidity information of each abnormal water inlet pipeline, the abnormal probability of each abnormal water inlet pipeline is determined according to the monitoring parameter information of each abnormal water inlet pipeline, maintenance information is generated according to the abnormal probability, and when the water supply pipeline leaks, related workers can find out the leakage positions in time according to the maintenance information.
Specifically, the embodiment of the application provides a water supply pipeline real-time monitoring method, which is executed by an electronic device, wherein the electronic device may be a server or a terminal device, the server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud computing services. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application is not limited thereto.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for real-time monitoring a water supply line in an embodiment of the present application, where the method includes step S110, step S120, step S130, step S140, step S150, step S160, and step S170, where:
step S110: and acquiring the current water pressure value of a water supply pipeline in the target monitoring area.
Specifically, the current water pressure value can be acquired through target pressure detection equipment arranged in a target monitoring area, so that the electronic equipment can acquire the current water pressure value. The water supply pipeline takes place to leak and changes correlatively with water supply pipeline internal pressure, when water supply pipeline internal pressure changed, water supply pipeline outer wall atress was different, and then probably leads to water supply pipeline to take place to leak, and is corresponding, when the leakage appeared in the water supply pipeline, the velocity of flow changed and then lead to water supply pipeline internal pressure value to change, consequently judges whether the leakage takes place for the water supply pipeline according to the pressure value of water supply pipeline.
Step S120: and comparing the current water pressure value with a preset standard water pressure value, and judging whether the water pressure in the target monitoring area is abnormal or not.
Specifically, the preset standard water pressure value may be modified according to a requirement, and is not specifically limited in the embodiment of the present application. And if the current water pressure value is lower than or equal to the preset standard water pressure value, determining that no water pressure abnormality exists in the target monitoring area, and if the current water pressure value is higher than the preset standard water pressure value, determining that the water pressure abnormality exists in the target monitoring area.
Step S130: and when the water pressure in the target monitoring area is abnormal, determining an abnormal source area from the preset pipeline information according to the target monitoring area.
Specifically, preset pipeline information can be pre-imported or manually input, preset pipeline information can be modified according to a water supply pipeline, and specific pipeline information is not specifically limited in the embodiment of the application. The preset pipeline information comprises the number of each monitoring area and a plurality of branches, the plurality of branches comprising the target monitoring area can be determined according to the target monitoring area, and the abnormal source area of each branch is determined by calling the water pressure values of the plurality of monitoring areas on each branch.
At least two monitoring areas determine a branch, each branch comprises an upstream monitoring area and a downstream monitoring area, if the upstream monitoring area has abnormal water pressure, the downstream monitoring area may have abnormal water pressure due to the influence of the upstream monitoring area, and therefore when the monitoring area has abnormal water pressure, an abnormal source area is firstly overhauled, and the overhauling efficiency is favorably improved.
Step S140: and determining a plurality of abnormal water inlet pipelines of the abnormal source region according to the water flow direction.
Specifically, the water flow direction can determine a water supply pipeline flowing to an abnormal source area, and when a water inlet pipeline of the abnormal source area is abnormal, water pressure abnormality of the abnormal source area can be caused.
Step S150: and acquiring monitoring parameter information of each abnormal water inlet pipeline.
The monitoring parameter information comprises road condition image information and humidity information.
Specifically, the road condition image information can be acquired by the image acquisition equipment, whether construction conditions exist at the abnormal water inlet pipe or not can be checked through the road condition image information, and the abnormal reasons can be determined by related workers according to the road condition image information.
The humidity information can be measured by a humidity detector arranged at the abnormal water inlet pipeline, whether leakage exists at the abnormal water inlet pipeline or not is judged by the aid of the collected humidity information, and if the humidity value at the abnormal water inlet pipeline exceeds a preset standard humidity value, it is determined that pipeline leakage exists at the abnormal water inlet pipeline. The preset standard humidity value can be modified according to the requirement, and can also be determined according to the geographical position of the abnormal water inlet pipeline, for example, if the abnormal water inlet pipeline is positioned in the south with humidity and much rain, or in the coastal region, the humidity value of the preset standard humidity is higher; if the abnormal water inlet pipeline is located in a dry northern or open sea area, the preset standard humidity value is lower, and the embodiment of the application is not particularly limited.
Step S160: and determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline.
Specifically, whether construction conditions exist at the position of an abnormal water inlet pipeline is determined according to the road condition image information, if the construction conditions exist, the probability that the construction conditions cause the abnormality of the water supply pipeline is predicted, and the abnormal probability corresponding to the abnormal water inlet pipeline is determined by the prediction information and the humidity information together according to the generated prediction information.
For example, after analyzing the monitoring parameter information of the abnormal water inlet pipeline to obtain road condition image information and humidity information of the abnormal water inlet pipeline, determining that construction behaviors exist at the abnormal water inlet pipeline through the road condition image information, and determining prediction information of the construction behaviors, which cause the abnormality of the abnormal water inlet pipeline, according to the construction behaviors. And determining that the humidity value at the abnormal water inlet pipeline is higher than a preset standard humidity value according to the humidity information, so that the abnormal probability corresponding to the abnormal water inlet pipeline is obtained based on the prediction information and the humidity information according to the preset weight.
Step 170: and generating overhaul information according to the plurality of abnormal probabilities.
The overhaul information facilitates related workers to quickly locate the target abnormal water inlet pipeline.
Specifically, the overhaul information is determined according to the level of the abnormal probability. The abnormal probability corresponding to each abnormal water inlet pipeline is arranged according to the probability value to obtain a probability sequence, the overhaul information is generated according to the route changing sequence, namely, the overhaul information is generated according to the height of the abnormal probability, so that the abnormal water inlet pipeline with higher abnormal probability can be fast overhauled, and the abnormal water inlet pipeline with higher abnormal probability is overhauled firstly, so that the time for determining the target abnormal water inlet pipeline is prolonged.
In the embodiment of the application, by acquiring the current water pressure value of a water supply pipeline in a target monitoring area, comparing the current water pressure value with a preset standard water pressure value, if the water pressure value in the target monitoring area is detected to be abnormal, determining an abnormal source area according to preset pipeline information, determining a plurality of abnormal water inlet pipelines in the abnormal source area according to the water flow direction, forming monitoring parameter information by acquiring road condition image information and humidity information of each abnormal water inlet pipeline, determining the abnormal probability of each abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline, generating maintenance information according to the abnormal probability, and conveniently finding out the leakage position when a related worker leaks the water supply pipeline according to the maintenance information.
Further, in order to improve the accuracy of determining that the water pressure abnormality exists in the target monitoring area, in this embodiment of the application, the step S120 may specifically include: step S1201 (not shown in the drawings), step S1202 (not shown in the drawings), step S1203 (not shown in the drawings), in which:
step S1201: and comparing the current water pressure value with a preset standard water pressure range, and judging whether the current time is the water consumption peak time or not if the current water pressure value exceeds the preset standard water pressure range.
Step S1202: and if the current moment is the water consumption peak moment, judging whether the water pressure value exceeds a preset water pressure limit range.
Step S1203: and if the current water pressure value exceeds the range of the preset water pressure limit value, determining that the water pressure abnormality exists in the target monitoring area.
Specifically, the preset standard water pressure range and the preset water pressure limit range may be modified according to requirements, and are not specifically limited in the embodiment of the present application. Since the water pressure in the water supply pipeline may be lowered at the time of using water, each water pressure value within the preset water pressure limit range is smaller than each water pressure value within the preset standard water pressure value range.
The peak water consumption period can affect the water pressure value in a water supply pipeline, and can be determined according to the position of a target monitoring area, for example, the peak water consumption period of a lodging school is concentrated at about 6 am and about 9 pm, if the target monitoring area is near the school, 5:30-6:30 am and 9-10 pm are peak water consumption periods, and all the moments in the peak water consumption period are peak water consumption moments.
If the current water pressure value exceeds the range of the preset standard water pressure value and the current time is not the peak time, determining that the water pressure abnormality exists in the target monitoring area; if the current water pressure value exceeds the preset standard water pressure value range and the current time is the water consumption peak time, judging whether the current water pressure value exceeds the preset water pressure limit range, and if the current water pressure value does not exceed the preset water pressure limit range, determining that no water pressure abnormality exists in the target monitoring area; and if the current water pressure value exceeds the range of the preset water pressure limit value, determining that the water pressure abnormality exists in the target monitoring area.
In the implementation of the application, whether the current water pressure value exceeds the preset standard water pressure range or not is judged, if the current water pressure value exceeds the preset standard water pressure range, whether the current time is the water consumption peak time or not is judged, if the current time is the water consumption peak time, whether the current water pressure value exceeds the preset water pressure limit range or not is judged, if the current water pressure value exceeds the preset water pressure limit range, it is determined that the water pressure abnormity exists in a target monitoring area, whether the water pressure abnormity exists in the target monitoring area or not is determined through a plurality of judgment conditions, and the accuracy of determining the water pressure abnormity is facilitated to be improved.
Further, the step S130 of determining an abnormal source region from the preset pipe information according to the target monitoring region may specifically include step S1301 (not shown in the drawings) and step S1302 (not shown in the drawings), wherein:
step S1301: and determining all branches containing the target monitoring area from a preset pipeline diagram according to the target monitoring area, wherein each branch at least comprises one monitoring area.
Specifically, it can be modified as required to predetermine the pipeline map, can be input in advance, predetermine the pipeline map in this application embodiment and do not specifically restrict, as long as can be according to predetermine the pipeline map will contain each branch road of target monitoring area and determine can.
Step S1302: and determining an abnormal source region in each branch according to the water flow direction of each branch.
Specifically, for example, the number of the target monitoring area is 4, all branches including the number 4 are obtained from a preset pipeline diagram, if 4 is abnormal, whether the number 4 in each branch is an abnormal source is judged, if the number in one branch is 1, 2, 3, 4, 5, 6, the monitoring area with the abnormality is 2, 3, 4, and the direction of the water flow flows from 1 to 6, the monitoring area with the number 2 in the current branch is determined as the abnormal source.
In the embodiment of the application, all the branch circuits comprising the target monitoring area are obtained according to the preset pipeline diagram, the abnormal source area in each branch circuit is determined according to the water flow direction, and the overhaul efficiency of the whole water supply pipeline is improved by overhauling the abnormal source area.
Further, the step S160 of determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline may specifically include step S1601 (not shown in the drawings), step S1602 (not shown in the drawings), and step S1603 (not shown in the drawings), where:
step S1601: and carrying out image recognition on the road condition image information, and judging whether construction behaviors exist in the road condition image information or not.
Specifically, before the image recognition of the road condition image information, the image preprocessing is performed on the road condition image information. The road condition image is grayed, binarized, expanded and corroded, so that the construction behavior existing in the road condition information can be determined, and the road condition image is subjected to image processing to obtain a plurality of initial image information. For example, banding distortion can be avoided after the image is grayed; the image binarization can set the gray value of the pixel points on the monitoring image to be 0 or 255, namely, the whole road condition image is subjected to an obvious black-and-white effect process, and the binarization enables the data volume in the road condition image to be greatly reduced, so that the outline of the new energy key equipment can be highlighted.
And inputting the road condition image into the trained construction behavior recognition model to recognize the construction behavior to obtain the construction behavior. When the construction behavior model is trained, a large number of training samples are obtained, the training samples comprise characteristics of construction behaviors, including construction tools and roadblocks, and the training samples are input into the initial construction behavior model to be learned, so that the trained construction behavior recognition model is obtained.
Step S1602: and if the construction behavior exists, generating prediction information.
The prediction information can represent the probability that the construction behavior influences the water inlet pipeline to be abnormal.
Step S1603: and generating the abnormal probability corresponding to each abnormal water inlet pipeline according to the humidity information and the prediction information of each abnormal water inlet pipeline.
Specifically, for example, the probability that the abnormal water inlet pipeline is abnormal due to the current construction line is determined to be 70% according to the construction behavior obtained after the road condition image information is identified, the probability that the abnormal water inlet pipeline is leaked is determined to be 80% according to the humidity information, the preset weight is 0.5, and the abnormal probability corresponding to the abnormal water inlet pipeline is calculated to be 70% +0.5+80% +0.5= 75%.
In the embodiment of the application, the construction behaviors existing in the road condition image are determined by carrying out image recognition on the road condition image information, the abnormal prediction information of the abnormal water inlet pipeline caused by the construction behaviors is determined according to the construction behaviors, the abnormal probability corresponding to each abnormal water inlet pipeline is determined by using the prediction information and the humidity information, and the abnormal probabilities are used for overhauling the abnormal water inlet pipelines, so that the overhauling efficiency is improved.
Further, after step S170, the method further includes:
when the target abnormal water inlet pipeline is determined according to the maintenance information, the maintenance time is recorded;
and if the number of times of overhauling the target abnormal water inlet pipeline within the preset time exceeds a preset threshold value, generating reconstruction information corresponding to the target abnormal water inlet pipeline.
Specifically, the maintenance time can be recorded manually and input into the electronic equipment, a working log can be generated when the target abnormal water inlet pipeline is determined, the maintenance record is written into the working log, and the mode of recording the maintenance time is not specifically limited in the example of the application.
The preset time period can be modified according to requirements, and can be one week, two weeks, one month, and is not specifically limited in the embodiment of the present application. And determining the maintenance times within the preset time according to the recorded maintenance time. The preset threshold may be modified according to requirements, and is not specifically limited in the embodiment of the present application.
The reconstruction information is used for suggesting relevant management units to repair the target abnormal water inlet pipeline, and the high-frequency leakage is avoided.
In the embodiment of the application, through the maintenance time of the abnormal water inlet pipeline of record target, judge whether the time of maintaining exceeds the preset threshold value in the preset time, and then judge whether the abnormal water inlet pipeline of target rebuilds, if the time of maintaining of the abnormal water inlet pipeline of target exceeds the preset threshold value in the preset time, then generate the rebuild information, the rebuild information is used for proposing relevant administrative unit to repair the abnormal water inlet pipeline of target, avoid the condition of high frequency leakage loss, and then lighten the work load of relevant staff.
Further, in order to reduce the loss caused by the leakage of the water supply pipeline, the embodiment of the present application further includes a step Sa (not shown in the drawings), a step Sb (not shown in the drawings), a step Sc (not shown in the drawings), a step Sd (not shown in the drawings), and a step Se (not shown in the drawings), wherein:
step Sa: and recording the acquisition time after acquiring the current water pressure value of the water supply pipeline in the target monitoring area.
And Sb: and generating a pressure-time change curve according to the current water pressure value and the acquisition time.
Specifically, the acquisition time corresponding to each current water pressure value is introduced into a preset pressure-time coordinate system, and each coordinate point is connected to obtain a pressure-time change curve.
Step Sc: and calling a correlation pressure-time change curve corresponding to the correlation area of the target monitoring area.
Specifically, the association area may be determined by a preset distance between each monitoring area, and a monitoring area that is a preset distance away from the target monitoring area is determined as the association area.
Step Sd: and combining the pressure-time change curve with the associated pressure-time change curve to obtain a final pressure-time change curve.
Specifically, the associated pressure-time variation curve is introduced into a pressure-time coordinate system corresponding to the target monitoring area, and is marked by using different colors.
Step Se: and predicting the water pressure change trend according to the final pressure-time change curve, and generating early warning information.
Specifically, the rising trend of the water pressure is determined through the final pressure-time change curve, and the early warning information is used for reminding relevant workers to take corresponding protective measures according to the water pressure change trend. For example, the water pressure in the target monitored area can be adjusted by adjusting the water consumption in the target monitored area.
In the embodiment of the application, the water pressure value and the corresponding acquisition time of the target monitoring area are acquired, the pressure-time change curve is obtained according to each water pressure value and the corresponding acquisition time, the associated pressure-time change curve corresponding to the associated area of the target monitoring area is called, the pressure-time change curve and the associated pressure-time change curve of the target monitoring area are combined to obtain the final pressure-time change curve, the water pressure value is predicted according to the final pressure-time change curve to obtain the water pressure change trend, the early warning information is generated according to the water pressure change trend, and the early warning information is used for reminding relevant workers to take corresponding protective measures according to the pressure change trend, so that the loss caused by the leakage situation of a water supply pipeline is reduced.
Further, the embodiment of the present application further includes:
determining a correlation area by taking the target monitoring area as a center and a preset distance as a radius;
determining all monitoring areas in the associated areas as initial associated monitoring areas;
and determining the initial associated monitoring area for supplying water to the target monitoring area as the associated monitoring area.
Specifically, the preset distance may be modified according to requirements, and is not specifically limited in the embodiment of the present application. The associated monitoring area of the target monitoring area can be quickly positioned by establishing the associated area. The upstream water pressure abnormality in the water supply pipeline may cause the downstream water pressure abnormality, so when the water pressure trend in the target monitoring area is determined, the associated area is a monitoring area in the associated area for supplying water to the target monitoring area.
In the embodiment of the application, the target monitoring area is used as a center, the preset distance is used as a radius to determine the associated area, the monitoring area which supplies water to the target monitoring area in the associated area is determined as the associated monitoring area, and the associated monitoring area is determined according to the preset distance and the water supply relation, so that the relevance between the target monitoring area and the associated monitoring area is improved.
The above embodiments describe a method for real-time monitoring of a water supply line from the perspective of a process flow, and the following embodiments describe an apparatus for real-time monitoring of a water supply line from the perspective of a virtual module or a virtual unit, which are described in detail in the following embodiments.
The embodiment of the present application provides a device for real-time monitoring of a water supply line, as shown in fig. 2, the device for real-time monitoring of a water supply line may specifically include an obtaining module 210, an abnormality judging module 220, an abnormality determining source module 230, a water inlet line determining module 240, a monitoring parameter obtaining module 250, an abnormality determining probability determining module 260, and an overhaul information generating module 270, wherein:
the obtaining module 210 is configured to obtain a current water pressure value of a water supply line in a target monitoring area;
an abnormal judgment module 220, configured to compare the current water pressure value with a preset standard water pressure value, and judge whether a water pressure abnormality exists in the target monitoring area;
an abnormal source determining module 230, configured to determine an abnormal source region from preset pipeline information according to the target monitoring region when the target monitoring region has a water pressure abnormality;
a water inlet pipeline determining module 240, configured to determine a plurality of abnormal water inlet pipelines of the abnormal source region according to the water flow direction;
a monitoring parameter obtaining module 250, configured to obtain monitoring parameter information at each abnormal water inlet pipeline;
an abnormal probability determination module 260, configured to determine an abnormal probability corresponding to each abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline;
and a maintenance information generating module 270 configured to generate maintenance information according to the plurality of abnormal probabilities.
In one possible implementation, the determining an exception module 220 includes:
the water consumption peak judging unit is used for comparing the current water pressure value with a preset standard water pressure range, and judging whether the current time is the water consumption peak time or not if the current water pressure value exceeds the preset standard water pressure range;
the limit value judging unit is used for judging whether the water pressure value exceeds a preset water pressure limit value range or not if the current moment is a water consumption peak moment;
and the water pressure abnormity determining unit is used for determining that the water pressure abnormity exists in the target monitoring area if the current water pressure value exceeds the preset water pressure limit value range.
In one possible implementation, the determine anomaly source module 230 includes:
the branch determining unit is used for determining all branches containing the target monitoring area from a preset pipeline diagram according to the target monitoring area, and each branch at least comprises one monitoring area;
and the abnormal source determining unit is used for determining an abnormal source region in each branch according to the water flow direction of each branch.
In one possible implementation, the determine anomaly probability module 260 includes:
the identification behavior unit is used for carrying out image identification on the road condition image information and judging whether construction behaviors exist in the road condition image information or not;
a generation prediction information unit for generating prediction information if there is a construction action;
and the abnormal probability generation unit is used for generating the abnormal probability corresponding to each abnormal water inlet pipeline according to the humidity information and the prediction information of each abnormal water inlet pipeline.
In one possible implementation manner, the method further includes:
the recording module is used for recording the maintenance time when the target abnormal water inlet pipeline is determined according to the maintenance information;
and the reconstruction information generating module is used for generating reconstruction information corresponding to the target abnormal water inlet pipeline if the number of times of overhauling the target abnormal water inlet pipeline within the preset time exceeds a preset threshold value.
In one possible implementation manner, the method further includes:
the acquisition data module is used for recording acquisition time after acquiring the current water pressure value of a water supply pipeline in the target monitoring area;
the generating curve module is used for generating a pressure-time change curve according to the current water pressure value and the acquisition time;
the calling information module is used for calling a correlation pressure-time change curve corresponding to a correlation area of the target monitoring area;
the merging module is used for merging the pressure-time change curve and the associated pressure-time change curve to obtain a final pressure-time change curve;
and the early warning information generating module is used for predicting the water pressure change trend according to the final pressure-time change curve and generating early warning information.
In one possible implementation manner, the method further includes:
the association area determining module is used for determining an association area by taking the target monitoring area as a center and taking the preset distance as a radius;
an initial association monitoring area determining module, configured to determine all monitoring areas in the association area as initial association monitoring areas;
and the association monitoring area determining module is used for determining the initial association monitoring area for supplying water to the target monitoring area as the association monitoring area.
In an embodiment of the present application, an electronic device is provided, as shown in fig. 3, an electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein processor 301 is coupled to memory 303, such as via bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated in the foregoing method embodiments.
Wherein, the electronic device includes but is not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. The real-time monitoring method for the water supply pipeline is characterized by comprising the following steps:
acquiring a current water pressure value of a water supply pipeline in a target monitoring area;
comparing the current water pressure value with a preset standard water pressure value, and judging whether the water pressure abnormality exists in the target monitoring area;
when the target monitoring area has water pressure abnormality, determining an abnormal source area from preset pipeline information according to the target monitoring area;
determining a plurality of abnormal water inlet pipelines of the abnormal source region according to the water flow direction;
acquiring monitoring parameter information at each abnormal water inlet pipeline, wherein the monitoring parameter information comprises road condition image information and humidity information;
determining the abnormal probability corresponding to each abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline;
and generating maintenance information according to the plurality of abnormal probabilities, wherein the maintenance information is convenient for related workers to quickly position the target abnormal water inlet pipeline.
2. The method for real-time monitoring the water supply pipeline according to claim 1, wherein the step of comparing the current water pressure value with a preset standard water pressure value to determine whether the target monitoring area has abnormal water pressure comprises the steps of:
comparing the current water pressure value with a preset standard water pressure range, and if the current water pressure value exceeds the preset standard water pressure range, judging whether the current moment is a water consumption peak moment;
if the current time is the water consumption peak time, judging whether the current water pressure value exceeds a preset water pressure limit value range;
and if the current water pressure value exceeds the range of the preset water pressure limit value, determining that the water pressure abnormality exists in the target monitoring area.
3. The method for real-time monitoring the water supply pipeline according to claim 1, wherein when the target monitoring area has abnormal water pressure, determining an abnormal source area from preset pipeline information according to the target monitoring area comprises:
determining all branches containing the target monitoring area from a preset pipeline diagram according to the target monitoring area, wherein each branch at least comprises one monitoring area;
and determining an abnormal source region in each branch according to the water flow direction of each branch.
4. The method for real-time monitoring of a water supply line according to claim 1, wherein the determining of the abnormal probability corresponding to each abnormal water inlet line based on the monitored parameter information of each abnormal water inlet line comprises:
performing image recognition on the road condition image information, and judging whether construction behaviors exist in the road condition image information or not;
if the construction behaviors exist, generating prediction information, wherein the prediction information can represent the probability that the construction behaviors influence the water inlet pipeline to have abnormity;
and generating the abnormal probability corresponding to each water inlet pipeline according to the humidity information of each abnormal water inlet pipeline and the prediction information.
5. The method for real-time monitoring of a water supply line according to claim 1, wherein after generating service information based on the plurality of anomaly probabilities, further comprising:
when the target abnormal water inlet pipeline is determined according to the maintenance information, the maintenance time is recorded;
and if the number of times of overhauling the target abnormal water inlet pipeline within the preset time exceeds a preset threshold, generating reconstruction information corresponding to the target abnormal water inlet pipeline.
6. The method for real-time monitoring of a water supply line of claim 1, further comprising:
recording the acquisition time after acquiring the current water pressure value of the water supply pipeline of the target monitoring area;
generating a pressure-time change curve according to the current water pressure value and the acquisition time;
calling a correlation pressure-time change curve corresponding to a correlation area of the target monitoring area;
combining the pressure-time change curve with the associated pressure-time change curve to obtain a final pressure-time change curve;
and predicting the water pressure change trend according to the final pressure-time change curve, and generating early warning information.
7. The method for real-time monitoring of a water supply line according to claim 1, further comprising:
determining a correlation area by taking the target monitoring area as a center and a preset distance as a radius;
determining all monitoring areas in the associated areas as initial associated monitoring areas;
and determining an initial associated monitoring area for supplying water to the target monitoring area as an associated monitoring area.
8. Water supply line real time monitoring device, its characterized in that includes:
the acquisition module is used for acquiring the current water pressure value of a water supply pipeline in the target monitoring area;
the abnormal judgment module is used for comparing the current water pressure value with a preset standard water pressure value and judging whether the water pressure in the target monitoring area is abnormal or not;
the abnormal source determining module is used for determining an abnormal source region from preset pipeline information according to the target monitoring region when the water pressure in the target monitoring region is abnormal;
the water inlet pipeline determining module is used for determining a plurality of abnormal water inlet pipelines of the abnormal source area according to the water flow direction;
the system comprises a monitoring parameter acquisition module, a monitoring parameter acquisition module and a monitoring parameter analysis module, wherein the monitoring parameter acquisition module is used for acquiring monitoring parameter information of each abnormal water inlet pipeline, and the monitoring parameter information comprises road condition image information and humidity information;
the abnormal probability determining module is used for determining the abnormal probability corresponding to the abnormal water inlet pipeline according to the monitoring parameter information of each abnormal water inlet pipeline;
and the maintenance information generation module is used for generating maintenance information according to a plurality of abnormal probabilities, and the maintenance information is convenient for related workers to quickly position the target abnormal water inlet pipeline.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: a method of performing real-time monitoring of a water supply line according to any one of claims 1 to 7.
10. A computer-readable storage medium, comprising: a computer program which can be loaded by a processor and which performs the method according to any of claims 1-7.
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| CN202210740857.1A CN115035475A (en) | 2022-06-28 | 2022-06-28 | Water supply pipeline real-time monitoring method and device, electronic equipment and medium |
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| CN202210740857.1A CN115035475A (en) | 2022-06-28 | 2022-06-28 | Water supply pipeline real-time monitoring method and device, electronic equipment and medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116617616A (en) * | 2023-04-24 | 2023-08-22 | 深圳市筑乐科技有限公司 | Fire-fighting pipeline monitoring method, fire-fighting pipeline monitoring system, terminal equipment and storage medium |
| CN116630091A (en) * | 2023-07-20 | 2023-08-22 | 赛维斯智慧环境科技(山东)有限公司 | Industrial real-time data linkage analysis system |
| CN117455318A (en) * | 2023-12-25 | 2024-01-26 | 麦格纳汽车动力总成(天津)有限公司 | Monitoring method and device for automobile part detection process and electronic equipment |
-
2022
- 2022-06-28 CN CN202210740857.1A patent/CN115035475A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116617616A (en) * | 2023-04-24 | 2023-08-22 | 深圳市筑乐科技有限公司 | Fire-fighting pipeline monitoring method, fire-fighting pipeline monitoring system, terminal equipment and storage medium |
| CN116630091A (en) * | 2023-07-20 | 2023-08-22 | 赛维斯智慧环境科技(山东)有限公司 | Industrial real-time data linkage analysis system |
| CN116630091B (en) * | 2023-07-20 | 2023-10-13 | 赛维斯智慧环境科技(山东)有限公司 | Industrial real-time data linkage analysis system |
| CN117455318A (en) * | 2023-12-25 | 2024-01-26 | 麦格纳汽车动力总成(天津)有限公司 | Monitoring method and device for automobile part detection process and electronic equipment |
| CN117455318B (en) * | 2023-12-25 | 2024-04-09 | 麦格纳汽车动力总成(天津)有限公司 | Monitoring method and device for automobile part detection process and electronic equipment |
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