CN113701802B - Abnormality monitoring method and abnormality monitoring system for pipeline system - Google Patents
Abnormality monitoring method and abnormality monitoring system for pipeline system Download PDFInfo
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Abstract
The application relates to an anomaly monitoring method and an anomaly monitoring system for a pipeline system. The method comprises the following steps: monitoring water level information and/or barrier information of each pipeline in the pipeline system; analyzing the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline, and determining the state analysis result of each pipeline; if any water drainage state of the pipeline is abnormal in the state analysis result, determining that the pipeline system is abnormal. That is, the water accumulation condition of each pipeline is determined by analyzing the water level information of each pipeline; analyzing the obstacle information of each pipeline to determine whether each pipeline is blocked; and analyzing the water level information and the obstacle information of each pipeline to determine the drainage state of each pipeline. Therefore, the pipeline system can be monitored in real time, and the drainage abnormality can be accurately and timely determined.
Description
Technical Field
The present disclosure relates to drainage technologies, and in particular, to an anomaly monitoring method and an anomaly monitoring system for a pipeline system.
Background
In the power production environment, the drainage system is particularly important, and the smooth drainage system can ensure safe production. When the drainage pipeline is blocked or the accumulated water quantity is too large, important power equipment can be soaked, and serious safety accidents and economic losses are caused. Therefore, in order to ensure the safe operation of the power equipment, the staff needs to know the operation condition of each drainage pipeline in the station, and early warning and treatment are carried out on potential safety hazards possibly existing.
In the related art, abnormality monitoring of each pipe in a drainage system is mainly performed manually, and a worker inspects water level information of each pipe and periodically inspects blocking information of a drain pipe through special equipment. Based on the water level information and the blocking condition of each pipeline, the subjective experience is combined to determine whether the drainage pipeline is abnormal.
However, the related art cannot accurately and timely monitor the abnormal condition of each pipe in the drainage system.
Disclosure of Invention
In view of the above, it is desirable to provide an abnormality monitoring method and an abnormality monitoring system for a piping system that can timely and effectively monitor the drainage state of each pipe in the piping system.
In a first aspect, there is provided a method of anomaly monitoring for a pipe system, the method comprising:
monitoring water level information and/or barrier information of each pipeline in the pipeline system;
analyzing the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline, and determining the state analysis result of each pipeline;
if any water drainage state of the pipeline is abnormal in the state analysis result, determining that the pipeline system is abnormal.
In one embodiment, according to the water level information and/or the obstacle information of each pipeline, the drainage state of each pipeline is analyzed, and the state analysis result of each pipeline is determined, including:
if the water level information of the target pipeline meets the preset water level warning condition and/or the obstacle information of the target pipeline is that the obstacle exists, determining that the state analysis result of the target pipeline is abnormal water drainage; the target pipeline is any pipeline in each pipeline.
In one embodiment, according to the water level information and/or the obstacle information of each pipeline, the drainage state of each pipeline is analyzed, and the state analysis result of each pipeline is determined, and the method further comprises:
if the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the barrier information of the first pipeline and the barrier information of the second pipeline are no barriers, and the drainage flow between the first pipeline and the second pipeline is larger than the preset flow, determining that the state analysis result of the first pipeline is normal drainage, and the state analysis result of the second pipeline is abnormal drainage;
If the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the barrier information of the first pipeline and the barrier information of the second pipeline are no barriers, and the drainage flow between the first pipeline and the second pipeline is smaller than the preset flow, determining that the state analysis result of the first pipeline is abnormal drainage, and the state analysis result of the second pipeline is normal drainage;
wherein the first pipe is connected with the second pipe.
In one embodiment, monitoring water level information for each pipe in a pipe system includes:
collecting the water level height of corresponding monitoring points in each pipeline;
and determining water level information of the corresponding pipeline according to the water level height of each monitoring point.
In one embodiment, monitoring obstruction information for each pipe in a pipe system includes:
obtaining obstacle detection results of corresponding monitoring points in each pipeline;
and determining the obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
In one embodiment, after determining that there is an anomaly in the pipe system, the method further comprises:
generating early warning information according to the state analysis result of the pipeline;
and sending early warning information to the client.
In a second aspect, there is provided an anomaly monitoring system for a pipe system, the system comprising: monitoring device and server;
the monitoring device is used for monitoring water level information and/or barrier information of each pipeline in the pipeline system; and sending the water level information and/or barrier information of each pipeline to a server;
the server is used for analyzing the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline and determining the state analysis result of each pipeline; and when the drainage state of any pipeline in the state analysis result is abnormal, determining that the pipeline system is abnormal.
In one embodiment, the monitoring means comprises water level monitoring means and obstacle monitoring means;
the water level monitoring device is used for collecting the water level height of the corresponding monitoring point in each pipeline and determining the water level information of the corresponding pipeline according to the water level height of each monitoring point;
the obstacle monitoring device is used for acquiring obstacle detection results of corresponding monitoring points in each pipeline; and determining the obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
In one embodiment, the water level monitoring device includes a water level sensor and a first data processor;
The water level sensor is used for collecting the water level height of the corresponding monitoring point in each pipeline;
and the first data processor is used for determining water level information of the corresponding pipeline according to the water level height of each monitoring point.
In one embodiment, the obstacle monitoring device includes a laser sensor and a second data processor;
the laser sensor is used for acquiring obstacle detection results of corresponding monitoring points in each pipeline;
and the second data processor is used for determining the obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
In a third aspect, there is provided a computer device comprising a memory storing a computer program and a processor implementing the steps of any one of the pipe system anomaly monitoring methods provided in the first aspect above when the computer program is executed.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of any one of the pipe system anomaly monitoring methods provided in the first aspect above.
According to the abnormality monitoring method and the abnormality monitoring system for the pipeline system, the water level information and/or the obstacle information of each pipeline in the pipeline system are monitored in real time; analyzing the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline, and determining the state analysis result of each pipeline; if any water drainage state of the pipeline is abnormal in the state analysis result, determining that the pipeline system is abnormal. That is, in the present application, the water accumulation condition of each pipe is determined by analyzing the water level information of each pipe; analyzing the obstacle information of each pipeline to determine whether each pipeline is blocked; by analyzing the water level information and the obstacle information of each pipeline, the state analysis result of each pipeline is determined, namely whether the pipeline can normally drain or not is determined, and whether each pipeline is abnormal or not is further determined according to the state analysis result of each pipeline. Therefore, the pipeline system can be monitored in real time, and the drainage abnormality can be accurately and timely determined.
Drawings
FIG. 1a is a schematic diagram of an anomaly monitoring system according to one embodiment of the present application;
FIG. 1b is a schematic diagram of a frame of another anomaly monitoring system in one embodiment of the present application;
FIG. 1c is a schematic diagram of a frame of yet another anomaly monitoring system in one embodiment of the present application;
FIG. 2 is a flow chart of a method for anomaly monitoring of a pipeline system according to one embodiment of the present application;
FIG. 3 is a flow chart of a method for anomaly monitoring of a pipeline system according to another embodiment of the present application;
FIG. 4 is a flow chart of a method for anomaly monitoring of a pipeline system according to another embodiment of the present application;
FIG. 5 is a flow chart of a method for anomaly monitoring of a pipeline system according to another embodiment of the present application;
FIG. 6 is a block diagram of an anomaly monitoring system for a pipeline system in accordance with another embodiment of the present application;
fig. 7 is an internal structural diagram of a computer device in one embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The abnormality monitoring method of the pipeline system can be applied to any application environment shown in fig. 1a, 1b or 1 c.
In one embodiment, the present application provides an anomaly monitoring system for a pipeline system, as shown in FIG. 1a, the anomaly monitoring system 100 comprising a monitoring device 110 and a server 120.
The monitoring device 110 is provided in all of the pipes included in the pipe system or in several pipes requiring important monitoring, and the present application is not limited thereto. Specifically, the monitoring device is configured to monitor water level information and/or obstacle information of the pipes, and send the water level information and/or obstacle information of each pipe to the server 120. Fig. 1a is given as an example only of one monitoring device and does not constitute a limitation on the number of monitoring devices in the present application.
Specifically, the server 120 is configured to analyze the drainage state of each pipe according to the water level information and/or the obstacle information of each pipe, determine a state analysis result of each pipe, and determine that an abnormality exists in the pipe system when an abnormality occurs in the drainage state of any pipe in the state analysis result. The drainage state may specifically include: normal drainage and abnormal drainage.
It should be noted that, the monitoring device 110 may store the monitored water level information and/or the obstacle information, and when the server 120 needs to perform data analysis, the server 120 may call all the monitoring information from the monitoring device 110, or call the monitoring information in a certain period of time, or call the monitoring information of some pipes. The embodiments of the present application are not limited in this regard, and are intended to illustrate that the water level information and/or the obstacle information of each pipe may be transmitted between the monitoring device 110 and the server 120.
In an alternative embodiment, the anomaly monitoring system 100 can also include a client 130.
The server 120 is further configured to generate early warning information according to a result of the state analysis of the pipeline, and send the early warning information to the client 130, so as to remind a user of knowing a position of the abnormal pipeline, and repair and maintain the abnormal pipeline in time.
In addition, the client 130 may also send monitoring instructions to the server 120, including target piping and monitoring metrics, including water level information and/or obstacle information. After receiving the monitoring instruction, the server 120 controls the monitoring device to only collect the water level information and the obstacle information of the target pipeline, or only collect the water level information, or only collect the obstacle information, which is not limited in this application.
In the anomaly monitoring system 110 provided by the application, the monitoring device 110 can timely monitor the water level information and/or the obstacle information of each pipeline in the pipeline system, the server 120 analyzes the drainage state of each pipeline according to the monitored water level information and/or the obstacle information, determines the state analysis result of each pipeline, and determines that the drainage state of any pipeline is abnormal in the state analysis result, so that the pipeline system is abnormal. Further, the server 120 generates early warning information according to the analysis result of the pipeline state, and sends the early warning information to the client 130, so as to remind the user to view the abnormal pipeline in time. Therefore, for the pipeline system, the abnormality monitoring system provided by the application can timely and effectively monitor the drainage state of each pipeline.
Based on the embodiment corresponding to 1a, in one embodiment, the application further provides another abnormality monitoring system of the pipeline system. As shown in fig. 1b, the monitoring device 110 in the anomaly monitoring system 100 may include: a water level monitoring device and an obstacle monitoring device.
The water level monitoring device is used for collecting the water level height of the corresponding monitoring points in each pipeline and determining the water level information of the corresponding pipeline according to the water level height of each monitoring point. The obstacle monitoring device is used for acquiring obstacle detection results of corresponding monitoring points in each pipeline and determining obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
It should be noted that when the water level is too high, if no corresponding measures are taken, the accumulated water in the pipeline may overflow, and the equipment around the water pipe may have potential safety hazards due to water immersion. The obstacle detection results comprise the presence and absence of an obstacle, and when the obstacle exists in the water pipe, the drainage of the pipeline is slowed down, even the drainage cannot be performed, and excessive accumulated water in the pipeline connected with the obstacle detection results are further caused.
In addition, the number of the water level monitoring devices and the obstacle monitoring devices is not limited, and the specific number can be determined according to actual requirements.
In the abnormal monitoring system 110 of the pipeline provided by the application, the monitoring device 110 comprises a water level monitoring device and an obstacle monitoring device, the two monitoring devices take their roles respectively, the water level monitoring device collects the water level information of each pipeline, the obstacle monitoring device obtains the obstacle information of each pipeline, and the collected two monitoring information are not mutually interfered. Therefore, when the state analysis result of each pipeline is determined according to the water level information, only the water level information is monitored; when determining the state analysis result of each pipeline according to the obstacle information, only monitoring the obstacle information; and monitoring the water level information and the obstacle information simultaneously when determining the state analysis result of each pipeline according to the water level information and the obstacle information. The possibility of monitoring the abnormality of the pipeline system is greatly expanded.
Based on the embodiment corresponding to 1b, in one embodiment, the application further provides an anomaly monitoring system of the pipeline system. As shown in fig. 1c, the monitoring device 110 in the abnormality monitoring system 100 includes a water level monitoring device including a water level sensor and a first data processor, and an obstacle monitoring device including a laser sensor and a second data processor.
In the water level monitoring device, a water level sensor collects water level heights of corresponding monitoring points in each pipeline, and a first data processor determines water level information of the corresponding pipeline according to the water level heights of the monitoring points. In the obstacle monitoring device, a laser sensor acquires obstacle detection results of corresponding monitoring points in each pipeline, and a second data processor determines obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points. The water level sensor, the laser sensor, the first data processor and the second data processor are not limited by specific equipment and model, and can monitor and determine water level information and barrier information.
As one example, the water level sensor may be a JRWL2024 level transmitter. The JRWL2024 liquid level transmitter adopts a diffused silicon piezoresistive pressure sensor with a stainless steel isolating film as a signal measuring element, accurately measures hydrostatic pressure proportional to liquid level depth, and converts the hydrostatic pressure into standard 4-20mA current to be output through a digital signal conditioning circuit. When in actual use, the JRWL2024 liquid level transmitter can be directly put into a pipeline, so that the water level height from the tail end of the JRWL2024 liquid level transmitter to the water surface can be measured, the precision is high, the use is convenient, and the method can be widely applied to various industrial fields such as urban water supply and drainage, sewage treatment, river reservoirs and the like.
As one example, the laser sensor may be a LAS-T18N020MD laser correlation photosensor. The photoelectric sensor realizes the control function by converting the light intensity change into the change of an electric signal. Specifically, the transmitter emits a light beam towards the target without interruption, the receiver receives the light beam emitted by the transmitter and converts the light beam into an electric signal, and the detection circuit detects the electric signal output by the receiver and only retains the effective signal. Thus, whether an obstacle exists in the pipeline can be judged according to the electric signals converted by the receiver.
As one example, the first data processor and the second data processor may be STM8L052R8 microprocessors. The STM8L05xxx ultra low power serial microprocessors are characterized by the enhanced STM8 CPU core providing higher processing power (up to 16mips at 16 megahertz) while maintaining the advantages of the cisc architecture with improved code density, 24-bit linear addressing space and optimized architecture for low power operation. The family includes an integrated debug module with a hardware interface (swim) that allows for non-intrusive application debugging and ultra-fast flash programming.
In one possible implementation, as shown in fig. 1c, the water level monitoring device uses a first data processor to determine the water level information, and the obstacle monitoring device uses a second data processor, where the first processor and the second processor may be the STM8L052R8 microprocessor described above.
In another possible implementation manner, the water level monitoring device and the obstacle monitoring device share an STM8L052R8 microprocessor as a data processor, wherein the STM8L052R8 microprocessor is connected with the water level sensor through a 4-20mA interface so as to acquire the water level height of corresponding monitoring points in each pipeline and determine the water level information of the corresponding pipeline; the STM8L052R8 microprocessor is communicated with the laser sensor through the input/output interface, obtains the obstacle detection result of the corresponding monitoring point in each pipeline, and determines the obstacle information of the corresponding pipeline.
In the pipe anomaly monitoring system 110 provided by the application, a water level sensor collects the water level height of corresponding monitoring points in each pipe, and a first data processor determines water level information; the laser sensor detects whether the obstacle exists in each pipeline, and the second data processor determines obstacle information by detecting and acquiring an obstacle detection result of a corresponding monitoring point in each pipeline. So, each device mutually supports, and water level sensor and laser sensor's setting can monitor the water level of pipeline effectively in real time to and the barrier testing result, has greatly improved pipeline drainage state's monitoring efficiency.
Further, in any of the above-described pipe abnormality monitoring systems 100, the water level monitoring device and the obstacle monitoring device are specifically provided in the respective pipes. As an example, a water level monitoring point is set in a pipeline, two obstacle monitoring points can be the highest point under the condition of guaranteeing safe drainage, and the obstacle monitoring points can be places in the pipeline which are easy to block; as another example, two water level monitoring points are set in one pipeline, one obstacle monitoring point can be set at the water level monitoring position under normal weather and at the water level monitoring position in rainy days, the drainage amount is large in rainy days, in order to ensure the safe operation of the pipeline system, the water level monitoring position in rainy days is lower than the water level monitoring position under normal weather, and the obstacle monitoring point is a key position such as a pipeline connection point. The embodiment of the application does not limit the positions and the number of the monitoring points.
In one possible implementation, communication between the monitoring device 110 and the server 120 may be implemented through a gateway including one or more combinations of intelligent repeater, short range communication device, NB-IoT module, loRa module, 4G module, or 5G module, without limitation herein. That is, the server 120 and the gateway may be connected to communicate with each other by a wired or wireless connection, and the server 120 and the client 130 may also be connected to communicate with each other by a wired or wireless connection.
The server 120 may be one server, a server cluster formed by a plurality of servers, or a cloud computing service center. The client 130 may be any electronic product that can perform man-machine interaction with a user through one or more of a keyboard, a touch pad, a touch screen, a remote controller, a voice interaction or handwriting device, such as a personal computer (personal computer, PC), a mobile phone, a smart phone, a personal digital assistant (personal digital assistant, PDA), a wearable device, a Pocket PC (PPC), a tablet computer, a smart car machine, a smart television, a smart speaker, etc.
In one embodiment, as shown in fig. 2, a method for monitoring an anomaly of a pipeline system is provided, and this embodiment is exemplified by the method being applied to a server in the servers 120, it is understood that the method may also be applied to the monitoring device 110, and may also be applied to the pipeline anomaly monitoring system 100 including the monitoring device 110 and the servers 120, and implemented through interaction between the monitoring device 110 and the servers 120.
In this embodiment, the method includes the steps of:
step 210: monitoring water level information and/or barrier information for each pipe in the pipe system.
Wherein the water level information includes a monitor pipe position for indicating a unique one of the pipes and a water level height of the pipe. Thus, the server can know the real-time water level height of each pipeline according to the water level information of the pipeline.
Similarly, the obstruction information includes pipe position and pipe blockage. The pipe blockage is determined by the obstruction detection. When the obstacle detection result is that the obstacle exists, the server judges that the pipeline is blocked, and when the obstacle detection result is that the obstacle does not exist, the server judges that the pipeline is normally drained, and the blocking condition does not exist.
In actual implementation, only the water level information, only the obstacle information, or both the water level information and the obstacle information may be monitored. That is, the monitoring method provided by the application can realize real-time monitoring of the pipeline system based on at least one monitoring information.
Step 220: and analyzing the drainage state of each pipeline according to the water level information and/or the obstacle information of each pipeline, and determining the state analysis result of each pipeline.
Wherein, the drainage state of pipeline includes: excessive accumulated water, pipeline blockage and normal drainage. The state analysis result comprises abnormal drainage and normal drainage, wherein the abnormal drainage comprises the conditions of excessive accumulated water and pipeline blockage.
In one possible implementation, the above step 220 includes the following three possible cases:
(1) And analyzing the drainage state of each pipeline according to the water level information of each pipeline, and determining that the state analysis result of the pipeline is abnormal drainage when the water accumulation amount of the pipeline is overlarge.
(2) And analyzing the drainage state of each pipeline according to the barrier information of each pipeline, and determining that the state analysis result of the pipeline is abnormal drainage when the pipeline is blocked.
(3) And analyzing the drainage state of each pipeline according to the water level information and the obstacle information of each pipeline, and determining the state analysis result of each pipeline.
Specifically, in the case where it is determined that drainage is normal based on the water level information, a drainage state is further determined based on the obstacle information. And if the pipeline is not blocked according to the obstacle information, determining that the state analysis result of the pipeline is normal in drainage.
Or, in case that the drainage is determined to be normal according to the obstacle information, the drainage state is further determined according to the water level information. And if the water yield of the pipeline is determined to be excessive according to the water level information, determining that the state analysis result of the pipeline is abnormal in drainage, and if the water yield of the pipeline is determined to be normal according to the water level information, determining that the state analysis result of the pipeline is normal in drainage.
Step 230: if any water drainage state of the pipeline is abnormal in the state analysis result, determining that the pipeline system is abnormal.
Since the state analysis result of each pipe in the pipe system can be determined in the above step 220, it is determined that an abnormality exists in the pipe system if the state analysis result of any pipe is a drainage abnormality among the plurality of state analysis results determined in the above step 220.
In the embodiment of the application, the water level information and/or the barrier information of each pipeline in the pipeline system are monitored in real time; analyzing the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline, and determining the state analysis result of each pipeline; if any water drainage state of the pipeline is abnormal in the state analysis result, determining that the pipeline system is abnormal. That is, in the present application, the water accumulation condition of each pipe is determined by analyzing the water level information of each pipe; analyzing the obstacle information of each pipeline to determine whether each pipeline is blocked; by analyzing the water level information and the obstacle information of each pipeline, the state analysis result of each pipeline is determined, namely whether the pipeline can normally drain or not is determined, and whether the pipeline system is abnormal or not is further determined according to the state analysis result of each pipeline. Therefore, the pipeline system can be monitored in real time, and the drainage abnormality can be accurately and timely determined.
Based on the above embodiments, in one embodiment, the process of analyzing the drainage state of each pipe according to the water level information and/or the obstacle information of each pipe to determine the state analysis result of each pipe (i.e. the above step 220) may be:
if the water level information of the target pipeline meets the preset water level warning condition and/or the obstacle information of the target pipeline is that the obstacle exists, determining that the state analysis result of the target pipeline is abnormal water discharge. The target pipeline is any pipeline in each pipeline.
The water level warning condition is a preset warning water level line. If the water level information meets the preset water level warning condition, determining that the accumulated water amount of the target pipeline is too large, and determining that the state analysis result of the target pipeline is abnormal water drainage; if the water level information does not meet the preset water level warning condition, determining that the state analysis result of the target pipeline is that the water drainage is normal.
The obstruction information may reflect a pipe blockage condition. The obstacle information includes that the target pipe is clogged or that the target pipe is not clogged. When the target pipeline is blocked, the state analysis result is abnormal drainage; when the target pipeline is not blocked, the state analysis result shows that the drainage is normal.
As an example, referring to table 1 below, table 1 shows the results of a state analysis of a target pipe.
TABLE 1
Based on the above table 1, it should be further noted that, in the case of monitoring the water level information and the obstacle information at the same time, the server may also pre-warn the drainage state of the target pipeline in advance according to the water level information and the obstacle information.
In one possible implementation manner, the server may analyze the water accumulation of the target pipeline first, and if the water level information does not meet the preset water level warning condition, it indicates that the water accumulation in the target pipeline is still within the safety range. Further, in order to avoid the situation that the potential blocking hazard exists in the target pipeline, and the accumulated water amount is possibly overlarge later, the server can continuously analyze the blocking situation of the target pipeline according to the obstacle information, if the obstacle information is that the obstacle exists, the situation that the current water level of the target pipeline is normal, but the accumulated water amount of the target pipeline is possibly overlarge under the condition that the blocking exists. At this time, it may be determined that the state analysis result of the pipe is abnormal in drainage, which is an early warning. If the obstacle information indicates that no obstacle exists, the drainage of the target pipeline is normal.
In another possible implementation manner, the server may analyze whether the target pipeline is blocked, and if the obstacle information indicates that no obstacle exists, it indicates that the target pipeline is unobstructed. Further, in order to avoid the situation that when the drainage amount is large, the accumulated water amount of the target pipeline rapidly meets the water level warning condition, and the accumulated water amount is overlarge, the server can analyze the accumulated water amount of the target pipeline continuously according to the water level information, if the water level information meets the preset water level warning condition, the accumulated water amount in the target pipeline is overlarge, water needs to be drained as soon as possible, and if the water is not drained in time, the accumulated water in the pipeline inevitably overflows when the target pipeline is blocked. At this time, it may be determined that the state analysis result of the pipe is abnormal in drainage, which is an early warning. If the water level information does not meet the preset water level warning condition, the drainage of the target pipeline is normal.
It should be noted that, under the condition of collecting the water level information and the obstacle information at the same time, the service may perform the drainage state analysis based on the water level information first, or may perform the drainage state analysis based on the obstacle information first, which is not limited in the embodiment of the present application.
In the embodiment of the application, whether the water accumulation of the target pipeline is too large or not can be determined through the water level information and the preset water level warning condition, and the abnormal drainage state of the target pipeline is further determined when the water accumulation of the target pipeline is too large, so that the abnormal drainage state caused by the too large water accumulation in the pipeline system can be checked by utilizing the water level information; whether the target pipeline is blocked or not can be determined through the barrier information, and then the abnormal drainage state of the target pipeline is determined when the target pipeline is blocked, so that the abnormal drainage state of the pipeline system caused by the pipeline blockage can be examined by utilizing the barrier information; the drainage state of the target pipeline is determined through the water level information and the obstacle information together, and when one piece of monitoring information meets the requirement, the drainage state is further determined through the other piece of monitoring information, so that the effect of predicting drainage abnormality in advance is achieved. Therefore, the drainage state of the pipeline system can be effectively and accurately monitored, and the drainage abnormality can be timely determined.
Based on the above embodiment, when any monitoring information of the pipe is abnormal, it is determined that the state analysis result of the pipe is abnormal in drainage. The two pipelines are connected, water level information of the two pipelines meets water level warning conditions, no obstacle exists in the pipelines, and the pipeline can be determined to be normally drained according to the mode. However, as drainage progresses, the pipe may also become clogged. Therefore, the present application can further determine the drainage state of the pipes through the drainage flow between the pipes after determining that the drainage of the pipes is normal based on the water level information and the obstacle information.
In another embodiment, the water drainage state of each pipeline is analyzed according to the water level information and/or the obstacle information of each pipeline, and the implementation process of determining the state analysis result of each pipeline (i.e. the step 220) may be:
if the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the barrier information of the first pipeline and the barrier information of the second pipeline are no barriers, and the drainage flow between the first pipeline and the second pipeline is larger than the preset flow, determining that the state analysis result of the first pipeline is normal drainage, and the state analysis result of the second pipeline is abnormal drainage; if the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the barrier information of the first pipeline and the barrier information of the second pipeline are no barriers, and the drainage flow between the first pipeline and the second pipeline is smaller than the preset flow, determining that the state analysis result of the first pipeline is abnormal drainage, and the state analysis result of the second pipeline is normal drainage; wherein the first pipe is connected with the second pipe.
That is, in the case that the water level information of the first pipe and the second pipe do not satisfy the preset water level warning condition and the obstacle information of the first pipe and the second pipe are both non-existence obstacles, it is possible to further predict whether or not there is a drainage abnormality according to the magnitude relation between the drainage flow rate and the preset flow rate. And under the condition of normal drainage, the preset flow is the drainage flow between the first pipeline and the second pipeline.
As one example, when the water flow direction is from the first pipe to the second pipe, that is, the first pipe is located upstream of the water flow and the second pipe is located downstream of the water flow, the drainage speed between the first pipe and the second pipe is determined according to the water level difference of the first pipe and the second pipe or the change rate of the water level difference, thereby predicting the drainage flow between the first pipe and the second pipe.
When the water discharge flow is larger than the preset flow, the water discharge of the first pipeline is excessively large, and when a large amount of water is discharged to the second pipeline, the water level information of the second pipeline can be caused to rapidly meet the preset water level warning condition, so that the condition of excessively large water accumulation occurs. At this time, it is determined in advance that the result of the state analysis of the second pipe is drainage abnormality.
When the drainage flow is smaller than the preset flow, the situation that the drainage of the first pipeline is too small and the first pipeline is possibly blocked is indicated, so that drainage cannot be normally discharged to the second pipeline, and the situation is continued, water level information of the first pipeline can be possibly caused to rapidly meet preset water level warning conditions, and accordingly the situation that the water accumulation is too large, namely the first pipeline is blocked, is caused. At this time, it is determined in advance that the result of the state analysis of the first pipe is drainage abnormality.
Further, in order to reduce frequent early warning of the monitoring system caused by the monitoring error, whether the first pipeline and the second pipeline have abnormal drainage or not can be determined according to the drainage flow, the preset flow and the preset flow warning condition. That is, a flow difference between the drainage flow and the preset flow is determined first, and then whether the first pipe and the second pipe have drainage abnormality is determined according to whether the flow difference satisfies a flow alert condition. Wherein the flow alert condition is a safe fluctuation range of the drainage flow, and the safe fluctuation range of the drainage flow comprises an upper flow limit and a lower flow limit.
Specifically, when the flow difference value meets a flow warning condition, namely, the flow difference value is between the upper flow limit and the lower flow limit, the first pipeline and the second pipeline are determined to be normally drained; when the flow difference does not meet the flow warning condition, namely the flow difference is located outside the upper flow limit and the lower flow limit, judging the pipelines with abnormal drainage in the first pipeline and the second pipeline according to the magnitude relation between the flow difference and the upper flow limit or the magnitude relation between the flow difference and the lower flow limit.
When the flow difference is larger than the upper limit of the flow, the condition that the water discharge of the first pipeline is overlarge and the accumulated water of the second pipeline is possibly caused is indicated, so that the state analysis result of the second pipeline is determined to be abnormal water discharge in advance.
When the flow rate difference is smaller than the flow rate lower limit, it is indicated that the water discharge amount of the first pipe is too small, and there is a possibility of clogging, and therefore, the state analysis result of the first pipe is determined in advance as abnormal water discharge.
In the embodiment of the application, when the water level information and the obstacle information determine that the drainage of the first pipeline and the second pipeline which are connected are normal, the pipeline with the abnormal drainage possibly occurs can be predicted according to the drainage flow or the flow warning condition between the first pipeline and the second pipeline. Therefore, the abnormal drainage condition can be predicted in advance while the pipeline state is monitored, the rain silk is not used for controlling in advance, and the normal drainage of the pipeline system is ensured.
Based on any of the above embodiments, in one embodiment, as shown in fig. 3, monitoring water level information of each pipe in the pipe system (i.e., step 210 above) includes:
step 310: and collecting the water level height of the corresponding monitoring point in each pipeline.
Wherein the water level is the liquid level of the actual accumulated water in the pipeline. When a plurality of monitoring points are arranged in one pipeline, the water level height of the pipeline can be determined according to the water level heights acquired by the plurality of monitoring points.
In one possible implementation, when a pipe collects a plurality of water levels, the maximum effective water level is taken as the water level of the pipe.
Step 320: and determining water level information of the corresponding pipeline according to the water level height of each monitoring point.
Because in the pipeline system, a plurality of pipelines and a plurality of water level monitoring devices exist, when each water level monitoring device sends the collected water level height to the server, the water level monitoring device also carries the position information of the pipeline, the pipeline number and the like, and can indicate the information of the specific pipeline.
As an example, the water level information includes a pipe position and a water level height, and the server can know the water level height of only one pipe from one water level information.
As another example, the water level information includes a pipe number and a water level height, and a correspondence relationship between the pipe number and the pipe position is stored in the server in advance. The server can determine the position of only one pipeline according to the pipeline number in the water level information and the corresponding relation between the pipeline number and the pipeline position, so as to obtain the water level of the pipeline.
In the embodiment of the application, the water level information of each pipeline can be determined by monitoring the water level height of the corresponding monitoring point in each pipeline. Thus, the corresponding relation is established between the water level height and the pipeline position, and the server can determine the unique pipeline and the water level height according to the received water level information.
Based on any of the above embodiments, in one embodiment, as shown in fig. 4, monitoring obstacle information of each pipe in the pipe system (i.e., step 210 above) includes:
step 410: and obtaining obstacle detection results of corresponding monitoring points in each pipeline.
The monitoring points can be places which are easy to block in the pipeline or key monitoring positions in the pipeline, and the obstacle detection results comprise the presence of an obstacle and the absence of the obstacle.
Step 420: and determining the obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
When a plurality of monitoring points are arranged in one pipeline, the obstacle detection result of the pipeline can be determined according to the obstacle detection results of the monitoring points.
In one possible implementation, when one pipeline acquires a plurality of obstacle detection results, if the obstacle detection result of any monitoring point is that an obstacle exists, determining that the obstacle detection result of the pipeline is that the obstacle exists. When the obstacle detection result is that the obstacle exists, the pipeline is blocked, and when the obstacle detection result is that the obstacle does not exist, the pipeline is normally drained, and the blocking condition does not exist.
Similarly, because in the pipeline system, there are a plurality of pipelines and a plurality of obstacle monitoring devices, each obstacle monitoring device should also carry the position information of the pipeline where it is located, the pipeline number and the like, and can indicate the information of the specific pipeline when sending the collected obstacle information to the server.
As one example, the obstacle information includes position information of a pipe and a pipe blockage, and the server can learn the blockage of only one pipe from one obstacle information.
Further, the obstacle information can also carry the position of the monitoring point, so that the server can determine not only the unique pipeline position, but also the position point of the specific blockage.
As another example, the obstacle information includes a pipe number and a pipe blockage situation, and the correspondence relationship between the pipe number and the pipe position is stored in the server in advance. The server can determine the position of only one pipeline according to the pipeline number in the obstacle information and the corresponding relation between the pipeline number and the pipeline position, so as to obtain the blocking condition of the pipeline.
In the embodiment of the application, the blocking condition of each pipeline can be determined by monitoring the obstacle detection result of the corresponding monitoring point in each pipeline. Thus, the corresponding relation is established between the pipeline position and the pipeline blocking condition, and the server can determine the only pipeline and the pipeline blocking condition according to the received barrier information.
Based on any of the foregoing embodiments, in one embodiment, as shown in fig. 5, after determining that there is an abnormality in the pipe system, the method for monitoring an abnormality in the pipe system provided in the present application further includes:
Step 510: and generating early warning information according to the state analysis result of the pipeline.
The early warning information comprises abnormal pipeline positions.
As one example, when the state analysis result of the first pipe is drainage abnormality, the server takes the position of the first pipe and the state analysis result of the first pipe as one piece of early warning information.
When the state analysis results of the pipelines at the same time are abnormal drainage, the server generates a plurality of pieces of early warning information, and stores and transmits the pieces of early warning information as one early warning report.
Step 520: and sending early warning information to the client.
The early warning information is used for reminding workers of abnormal pipeline positions.
In the embodiment of the application, when the fact that the drainage abnormality exists in the pipeline is determined, the server timely sends early warning information to the client, and staff at the client can timely overhaul and maintain the abnormal pipeline according to the early warning information, so that the drainage of the pipeline system is guaranteed to be normal.
It should be understood that, although the steps in the flowcharts of fig. 2-5 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-5 may include multiple steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the steps or stages in other steps or other steps.
In another embodiment, as shown in FIG. 6, an anomaly monitoring system for a pipe system is provided, the anomaly monitoring system 600 comprising: a monitoring device 610 and a server 620, wherein the server 620 comprises a state analysis module 621 and an anomaly determination module 622, wherein:
a monitoring device 610 for monitoring water level information and/or obstacle information of each pipe in the pipe system;
an analysis module 621, configured to analyze the drainage state of each pipe according to the water level information and/or the obstacle information of each pipe, and determine a state analysis result of each pipe;
and the determining module 622 is configured to determine that an abnormality exists in the pipe system if an abnormality exists in the drainage state of any pipe in the state analysis result.
In one embodiment, the analysis module 621 is further configured to:
if the water level information of the target pipeline meets the preset water level warning condition and/or the obstacle information of the target pipeline is that the obstacle exists, determining that the state analysis result of the target pipeline is abnormal water drainage; the target pipeline is any pipeline in each pipeline.
In one embodiment, the analysis module 621 is further configured to:
if the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the barrier information of the first pipeline and the barrier information of the second pipeline are no barriers, and the drainage flow between the first pipeline and the second pipeline is larger than the preset flow, determining that the state analysis result of the first pipeline is normal drainage, and the state analysis result of the second pipeline is abnormal drainage;
If the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the barrier information of the first pipeline and the barrier information of the second pipeline are no barriers, and the drainage flow between the first pipeline and the second pipeline is smaller than the preset flow, determining that the state analysis result of the first pipeline is abnormal drainage, and the state analysis result of the second pipeline is normal drainage;
wherein the first pipe is connected with the second pipe.
In one embodiment, the monitoring device 610 includes a water level monitoring device 611, the water level monitoring device 611 being configured to:
collecting the water level height of corresponding monitoring points in each pipeline;
and determining water level information of the corresponding pipeline according to the water level height of each monitoring point.
In one embodiment, the monitoring device 610 includes an obstacle monitoring device 612, the obstacle monitoring device 612 being configured to:
obtaining obstacle detection results of corresponding monitoring points in each pipeline;
and determining the obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
In one embodiment, after determining that there is an anomaly in the pipe system, the server 620 further includes:
the early warning module 623 is used for generating early warning information according to the state analysis result of the pipeline;
And the sending module 624 is configured to send the early warning information to the client.
In the embodiment of the application, the monitoring device monitors the water level information and/or the barrier information of each pipeline in the pipeline system in real time; the server analyzes the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline, and determines the state analysis result of each pipeline; if any water drainage state of the pipeline is abnormal in the state analysis result, determining that the pipeline system is abnormal. That is, in the present application, the water accumulation condition of each pipe is determined by analyzing the water level information of each pipe; analyzing the obstacle information of each pipeline to determine whether each pipeline is blocked; by analyzing the water level information and the obstacle information of each pipeline, the state analysis result of each pipeline is determined, namely whether the pipeline can normally drain or not is determined, and whether each pipeline is abnormal or not is further determined according to the state analysis result of each pipeline. Therefore, the pipeline system can be monitored in real time, and the drainage abnormality can be accurately and timely determined.
The specific limitation of the abnormality monitoring device for the piping system may be referred to the limitation of the abnormality monitoring method for the piping system hereinabove, and will not be described herein. The various modules in the anomaly monitoring device of the pipeline system can be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, the internal structure of which may be as shown in FIG. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program, when executed by a processor, implements a method of anomaly monitoring for a pipeline system. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, implements the steps of the anomaly monitoring method of any one of the above method embodiments.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A method of anomaly monitoring a pipe system, the method comprising:
monitoring water level information and/or barrier information of each pipeline in the pipeline system;
analyzing the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline, and determining the state analysis result of each pipeline;
if any water drainage state of the pipeline is abnormal in the state analysis result, determining that the pipeline system is abnormal;
Analyzing the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline to determine the state analysis result of each pipeline, wherein the method specifically comprises the following steps:
if the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the barrier information of the first pipeline and the barrier information of the second pipeline are no barriers, and the drainage flow between the first pipeline and the second pipeline is larger than the preset flow, determining that the state analysis result of the first pipeline is normal drainage, and the state analysis result of the second pipeline is abnormal drainage;
if the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the obstacle information of the first pipeline and the obstacle information of the second pipeline are no obstacles, and the drainage flow between the first pipeline and the second pipeline is smaller than the preset flow, determining that the state analysis result of the first pipeline is abnormal drainage, and the state analysis result of the second pipeline is normal drainage;
wherein the first pipe is connected with the second pipe.
2. The anomaly monitoring method of claim 1, wherein monitoring water level information for each pipe in the pipe system comprises:
Collecting the water level height of a corresponding monitoring point in each pipeline;
and determining water level information of the corresponding pipeline according to the water level height of each monitoring point.
3. The abnormality monitoring method according to claim 1, characterized in that the monitoring of obstacle information of each pipe in the pipe system includes:
obtaining obstacle detection results of corresponding monitoring points in the pipelines;
and determining the obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
4. The anomaly monitoring method of claim 1, wherein after determining that an anomaly exists in the piping system, the method further comprises:
generating early warning information according to the state analysis result of the pipeline;
and sending the early warning information to the client.
5. The anomaly monitoring method of claim 1, wherein the water level information includes a pipe position and a water level height of the pipe; the obstruction information includes a pipe position and a pipe blockage condition.
6. The anomaly monitoring method of claim 1, wherein the method further comprises:
determining a drainage speed between the first pipe and the second pipe according to a water level difference or a change rate of the water level difference of the first pipe and the second pipe, and predicting drainage flow between the first pipe and the second pipe based on the drainage speed.
7. An anomaly monitoring system for a pipe system, the system comprising: monitoring device and server;
the monitoring device is used for monitoring water level information and/or barrier information of each pipeline in the pipeline system; and transmitting water level information and/or barrier information of each pipeline to the server;
the server is used for analyzing the drainage state of each pipeline according to the water level information and/or the barrier information of each pipeline and determining the state analysis result of each pipeline; when the drainage state of any pipeline in the state analysis result is abnormal, determining that the pipeline system is abnormal;
the server is specifically configured to, when analyzing the drainage state of each pipe according to the water level information and/or the obstacle information of each pipe and determining the state analysis result of each pipe:
if the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the barrier information of the first pipeline and the barrier information of the second pipeline are no barriers, and the drainage flow between the first pipeline and the second pipeline is larger than the preset flow, determining that the state analysis result of the first pipeline is normal drainage, and the state analysis result of the second pipeline is abnormal drainage;
If the water level information of the first pipeline and the water level information of the second pipeline do not meet the preset water level warning condition, the obstacle information of the first pipeline and the obstacle information of the second pipeline are no obstacles, and the drainage flow between the first pipeline and the second pipeline is smaller than the preset flow, determining that the state analysis result of the first pipeline is abnormal drainage, and the state analysis result of the second pipeline is normal drainage;
wherein the first pipe is connected with the second pipe.
8. The anomaly monitoring system of claim 7, wherein the monitoring device comprises a water level monitoring device and an obstacle monitoring device;
the water level monitoring device is used for collecting the water level height of the corresponding monitoring point in each pipeline and determining the water level information of the corresponding pipeline according to the water level height of each monitoring point;
the obstacle monitoring device is used for acquiring obstacle detection results of corresponding monitoring points in the pipelines; and determining the obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
9. The anomaly monitoring system of claim 8, wherein the water level monitoring device comprises a water level sensor and a first data processor;
The water level sensor is used for collecting the water level height of the corresponding monitoring point in each pipeline;
and the first data processor is used for determining water level information of the corresponding pipeline according to the water level height of each monitoring point.
10. The anomaly monitoring system of claim 9, wherein the obstacle monitoring device comprises a laser sensor and a second data processor;
the laser sensor is used for acquiring obstacle detection results of corresponding monitoring points in the pipelines;
and the second data processor is used for determining the obstacle information of the corresponding pipeline according to the obstacle detection results of the monitoring points.
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