CN111898890A - Flood diagnosis and scheduling method and system for urban power transmission line - Google Patents
Flood diagnosis and scheduling method and system for urban power transmission line Download PDFInfo
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Abstract
A flood diagnosis and scheduling method for an urban power transmission line comprises the steps of obtaining remote sensing image data around the power transmission line through a data acquisition module, transmitting the remote sensing image data to a data analysis early warning module, judging whether a flood disaster occurs or not, determining disaster conditions by combining power monitoring data and traffic monitoring data, and transmitting results to a scheduling module after diagnosis is completed; and the dispatching module directly adjusts a flow switch valve of the underground pipe network according to the analysis result to strengthen or weaken the flow control. According to the invention, the power data, the traffic data and the climate disaster data resources are integrated, the resource optimization configuration is realized, and the investment of infrastructure construction is reduced.
Description
Technical Field
The invention belongs to the technical field of comprehensive energy operation control, and particularly relates to a flood diagnosis and scheduling method and system for an urban power transmission line.
Background
With environmental problems such as global warming and the like, serious natural disasters occur frequently in the world, particularly, the probability of flood disasters is obviously increased, and serious threats are brought to the life of urban residents and the supply of power systems. At the present stage, departments such as electric power systems, disaster prevention and reduction, traffic monitoring and the like in China respectively have a set of own information monitoring system, so that part of infrastructure is repeatedly constructed, is scattered and disordered, wastes resources, and the resource integration is imperative in the long run, and the comprehensive information monitoring and scheduling system is more efficient and sensitive.
The power transmission line of the power system is used as an 'aorta' for urban power supply and is distributed at each corner of a city, the resources can be fully utilized by carrying out flood disaster diagnosis by relying on the towers of the urban power transmission line, the safety coefficient of the power transmission line in natural disasters is improved, and therefore loss caused by power failure is effectively reduced. Patent CN 107066927 a discloses a method for determining the damage degree of a power transmission line in a flood disaster, which can effectively determine the problem of the damage degree of the power transmission line in the flood disaster and provide decision basis for emergency rescue, flood prevention and disaster relief; patent CN110135722A has announced a wisdom city flood disaster processing system based on geographical integrated informationization, can effectively prevent that important area flood from taking place when the flood situation takes place. However, there is little research on how to effectively integrate existing power facilities with urban flooding and a corresponding diagnosis and scheduling system for urban flooding disaster and scheduling control.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a flood diagnosis and scheduling system for urban transmission lines, which effectively utilizes the existing infrastructure of the urban transmission lines and the like, realizes the flood diagnosis and scheduling of cities, and carries out early warning, research and judgment and relief on flood.
The invention specifically adopts the following technical scheme:
a flood diagnosis and scheduling method for urban transmission lines is characterized by comprising the following steps:
step 1: the remote sensing image data acquisition unit acquires a real-time remote sensing image along the power transmission line and transmits the real-time remote sensing image to the data analysis and early warning module;
step 2: the data analysis early warning module receives the real-time remote sensing image and judges whether the remote sensing image is abnormal or not, namely whether a flood disaster occurs or not, when the judgment result is that the flood disaster occurs, the step 3 is carried out, and if not, the step 1 is carried out;
and step 3: the electric power data acquisition unit is used for acquiring electric power monitoring real-time data along the electric transmission line, and the traffic data acquisition unit is used for acquiring traffic monitoring real-time data and transmitting the traffic monitoring real-time data to the data analysis and early warning module;
and 4, step 4: the data analysis early warning module further judges whether a flood disaster occurs and confirms the severity of the flood disaster according to the power monitoring real-time data and the traffic monitoring real-time data, and when the judgment result is that the flood disaster occurs, the step 5 is carried out, otherwise, the step 1 is carried out;
and 5: the data analysis early warning module transmits the judgment result and the severity of the flood disaster to a dispatching center;
step 6: the dispatching center controls the underground pipe network flow control module to adjust the underground pipe network flow switch valve according to the received judgment result and the flood disaster severity;
and 7: and the underground pipe network flow control module feeds flow information back to the data analysis early warning module, and the step 1 is executed again.
The invention further adopts the following preferred technical scheme:
the data analysis early warning module stores historical remote sensing images of the power transmission line when no flood disaster occurs.
The step 2 comprises the following steps:
step 201: after the data analysis early warning module receives the real-time remote sensing image, the historical remote sensing image is taken, and difference processing is carried out on the historical remote sensing image and the real-time remote sensing image;
step 202: and when the difference processing result is larger than a preset threshold value and more than 80% of data of the real-time remote sensing image is between the two preset threshold values, judging that the flood disaster occurs.
The data analysis early warning module is provided with a disaster identification and disaster grade evaluation model;
and inputting the received power monitoring real-time data and the received traffic monitoring real-time data into a disaster identification and disaster grade evaluation model to further judge whether a flood disaster occurs, confirm the severity of the disaster and obtain the precipitation grade.
The method for obtaining the disaster identification and disaster grade evaluation model comprises the following steps:
step 401: acquiring historical data of power monitoring and historical data of traffic monitoring under different precipitation quantities;
step 402: taking the power monitoring historical data and the traffic monitoring historical data as training sets, and training based on a deep neural network to obtain a disaster identification and disaster grade evaluation model;
step 403: and installing the trained disaster identification and disaster grade evaluation model to the data analysis early warning module.
In the step 6, when the precipitation reaches the level below the rainstorm, the dispatching center controls the underground pipe network flow control module to adjust the underground pipe network flow switch valve;
when the precipitation reaches the level above rainstorm, the distributed drainage pressure of the underground pipe network in the peripheral area is switched on.
Preferentially discharging the area with the highest safety level according to the level of the safety level of the area;
and the discharge amount of the low-lying water area is preferentially discharged in the area with the same safety level.
A flood diagnosis and scheduling system of an urban power transmission line, which is used for the flood diagnosis and scheduling method of the urban power transmission line, comprises a data acquisition module, a data analysis early warning module, a scheduling module and an underground pipe network flow control module, and is characterized in that:
the data acquisition module comprises a remote sensing image acquisition unit, an electric power data acquisition unit and a traffic data acquisition unit;
the remote sensing image acquisition unit acquires a real-time remote sensing image along the electric line and transmits the real-time remote sensing image to the data analysis and early warning module;
the electric power data acquisition unit acquires electric power monitoring real-time data along the electric line and transmits the electric power monitoring real-time data to the data analysis and early warning module;
the traffic data acquisition unit acquires traffic monitoring real-time data along the electric line and transmits the data to the data analysis and early warning module;
the data analysis early warning module receives the real-time remote sensing image and judges whether the real-time remote sensing image data is abnormal or not, and when the judgment result is abnormal, flood disasters occur;
the data analysis early warning module further analyzes whether flood disasters occur or not according to the power monitoring real-time data and the traffic monitoring real-time data, confirms the severity of the disasters and transmits the analysis results to the scheduling module;
the dispatching module controls the underground pipe network flow control module according to the analysis result of the data analysis early warning module so as to adjust an underground pipe network flow switch valve;
and the underground pipe network flow control module feeds flow information back to the analysis and early warning module.
The data analysis early warning module stores historical remote sensing images of the power transmission line when no flood disaster occurs;
and the data analysis early warning module is provided with a disaster identification and disaster grade evaluation model.
The invention has the following beneficial effects:
(1) the invention integrates power data, traffic data and climate disaster data resources, realizes resource optimal configuration and reduces investment of infrastructure construction.
(2) According to the invention, by acquiring the multi-source data information, the flood disaster diagnosis is more accurate and reliable, the safety factor of the power transmission line in the flood disaster is improved, and the life and property safety of urban residents is ensured.
(3) The invention combines the diagnosis system with the scheduling system and realizes closed-loop feedback, so that the flood disaster control is more accurate and more targeted.
(4) The invention has strong expansibility, and by relying on the excellent carrier of the transmission tower, the functions of meteorological and air quality monitoring, earthquake early warning, city security monitoring, tower inclination detection, traffic monitoring and the like can be organically integrated, thereby having good prospect.
Drawings
Fig. 1 is a flow chart of the flood diagnosis and scheduling method for urban power transmission lines according to the present invention.
Fig. 2 is a block diagram of the flood diagnosis and dispatching system for urban power transmission lines according to the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
Fig. 1 is a flowchart of a flood diagnosis and scheduling method for an urban power transmission line according to the present invention, as shown in fig. 1, the flood diagnosis and scheduling method for an urban power transmission line according to the present invention specifically includes the following steps:
step 1: the remote sensing image data acquisition unit acquires real-time remote sensing images along the power transmission line and transmits the remote sensing images to the data analysis and early warning module.
Step 2: and the data analysis early warning module receives the real-time remote sensing image and judges whether the remote sensing image data is abnormal or not, namely whether a flood disaster happens or not, when the judgment result is that the flood disaster happens, the step 3 is carried out, and if not, the step 1 is carried out.
In step 2, the historical remote sensing image of the power transmission line when no flood disaster occurs is stored in the data analysis early warning module, the characteristic that the reflectivity of the water body is far lower than that of other ground objects and the color remote sensing image shows uniform dark tones is utilized, the characteristic and the characteristic are compared with the historical remote sensing image, whether the flood disaster occurs or not is judged, and the severity is estimated. Specifically, after the data analysis module receives the real-time remote sensing image, difference processing is carried out on the real-time remote sensing data and the historical remote sensing data, and if the difference processing result is larger than a certain threshold value and a large area of data of the current real-time remote sensing image is between the certain two threshold values, the flood disaster is judged to happen. Preferably, in the present invention, when more than 80% of the area data of the current real-time remote sensing image is between some two threshold values, it is determined that a flood disaster occurs.
And step 3: the electric power data acquisition unit is used for acquiring electric power monitoring real-time data along the electric transmission line, and the traffic data acquisition unit is used for acquiring traffic monitoring real-time data along the electric transmission line and transmitting the traffic monitoring real-time data to the data analysis and early warning module.
And 4, step 4: and the data analysis early warning module further judges whether the flood disaster occurs and confirms the severity of the flood disaster according to the real-time power monitoring data and the real-time traffic monitoring data, and when the judgment result indicates that the flood disaster occurs, the step 5 is carried out, otherwise, the step 1 is carried out.
Specifically, a disaster identification and disaster level assessment model is further installed in the data analysis and early warning module, and the disaster identification and disaster level assessment model is obtained through the following steps:
step 401: acquiring historical data of power monitoring and historical data of traffic monitoring under different precipitation (known specific precipitation);
step 402: and inputting the historical data of power monitoring and the historical data of traffic monitoring into an open source model for training by taking the historical data of power monitoring and the historical data of traffic monitoring as training sets to obtain a disaster grade recognition and evaluation model.
Step 403: and installing the trained disaster identification and disaster grade evaluation model to a data analysis early warning module.
After the data analysis early warning module receives the power monitoring real-time data and the traffic monitoring real-time data, the data analysis early warning module inputs the data into a disaster identification and disaster grade evaluation model to perform disaster identification and disaster grade evaluation, namely, the precipitation level in the current image data is judged.
And 5: and the data analysis early warning module transmits the judgment result and the severity of the flood disaster to the dispatching center.
Step 6: and the dispatching center controls the underground pipe network flow control module to adjust the underground pipe network flow switch valve according to the received judgment result and the severity of the flood disaster.
Specifically, when the precipitation reaches the level below rainstorm, the current accumulated water is considered to possibly cause flood disasters, and the flow switch valve is controlled to adjust, so that the unevenness of the accumulated water in the area is balanced.
When the precipitation reaches the level above rainstorm, the current accumulated water is considered to cause serious flood disasters, and the drainage capacity of the area is exceeded, and the flow switch valve is connected with the distributed drainage pressure of the underground pipe network in the peripheral area when huge economic loss is caused.
And in addition, under the condition that the flood discharge capacity of the city is fixed, the area with high safety level is preferentially discharged, and the discharge amount of the low-lying ponding area is preferentially increased in the area with the same safety level, so that the life and property safety of residents is fully ensured.
The control of the flow switch valve is particularly important in the case of major flood disasters, the drainage capacity can be fully utilized through control, the flood in residential areas is guaranteed to be discharged preferentially, and the flood in unmanned areas is discharged later, so that the life and property safety of residents is guaranteed more favorably.
And 7: and the underground pipe network flow control module feeds the flow information back to the data analysis early warning module, and the step 1 is executed again.
Fig. 2 is a flood diagnosis and scheduling system for an urban power transmission line according to the present invention, and as shown in fig. 2, the flood diagnosis and scheduling system for an urban power transmission line according to the present invention includes a data acquisition module, a data analysis and early warning module, a scheduling module, and an underground pipe network flow control module:
the data acquisition module comprises a remote sensing image acquisition unit, a power data acquisition unit and a traffic data acquisition unit.
The remote sensing image acquisition unit acquires remote sensing image data along the electric line and transmits the remote sensing image data to the data analysis and early warning module.
The electric power data acquisition unit acquires electric power monitoring data along the electric line and transmits the electric power monitoring data to the data analysis and early warning module.
The traffic data acquisition unit acquires traffic monitoring data along the electric line and transmits the traffic monitoring data to the data analysis and early warning module.
The data analysis early warning module receives the remote sensing image data and judges whether the remote sensing image data is abnormal or not, when the judgment result is abnormal, the data analysis early warning module is used for further analyzing the severity of the flood disaster according to the power monitoring data and the traffic monitoring data and transmitting the analysis result to the scheduling module.
The data analysis early warning module stores historical remote sensing images of the power transmission line when no flood disaster occurs. Disaster identification and disaster grade evaluation models are also installed.
And the dispatching module controls the underground pipe network flow control module according to the analysis result of the data analysis early warning module, so that the underground pipe network flow switch valve is adjusted.
And the underground pipe network flow control module feeds the flow information back to the analysis early warning module.
The control of the flow switch valve is particularly important in the case of major flood disasters, the drainage capacity can be fully utilized through control, the flood in residential areas is guaranteed to be discharged preferentially, and the flood in unmanned areas is discharged later, so that the life and property safety of residents is guaranteed more favorably.
The flow valve feeds back flow information to the data analysis module, the data analysis module further analyzes the flow information in combination with the video information, so that a result is transmitted to the scheduling module, and the scheduling module adjusts the flow control to be strengthened or weakened again.
The technical coverage of the invention is not only limited to cities, but also combined with the existing foundation of the power transmission line, and is applicable to important areas, city peripheries, urban and rural combined areas, rural areas and the like.
While the best mode for carrying out the invention has been described in detail and illustrated in the accompanying drawings, it is to be understood that the same is by way of illustration of the preferred embodiment of the invention and is not to be considered as a limitation on the scope of the invention, for the best understanding of the invention by the reader, and any changes and modifications within the spirit of the invention should be considered as within the scope of the invention.
Claims (9)
1. A flood diagnosis and scheduling method for urban transmission lines is characterized by comprising the following steps:
step 1: the remote sensing image data acquisition unit acquires a real-time remote sensing image along the power transmission line and transmits the real-time remote sensing image to the data analysis and early warning module;
step 2: the data analysis early warning module receives the real-time remote sensing image and judges whether the remote sensing image is abnormal or not, namely whether a flood disaster occurs or not, when the judgment result is that the flood disaster occurs, the step 3 is carried out, and if not, the step 1 is carried out;
and step 3: the electric power data acquisition unit is used for acquiring electric power monitoring real-time data along the electric transmission line, and the traffic data acquisition unit is used for acquiring traffic monitoring real-time data and transmitting the traffic monitoring real-time data to the data analysis and early warning module;
and 4, step 4: the data analysis early warning module further judges whether a flood disaster occurs and confirms the severity of the flood disaster according to the power monitoring real-time data and the traffic monitoring real-time data, and when the judgment result is that the flood disaster occurs, the step 5 is carried out, otherwise, the step 1 is carried out;
and 5: the data analysis early warning module transmits the judgment result and the severity of the flood disaster to a dispatching center;
step 6: the dispatching center controls the underground pipe network flow control module to adjust the underground pipe network flow switch valve according to the received judgment result and the flood disaster severity;
and 7: and the underground pipe network flow control module feeds flow information back to the data analysis early warning module, and the step 1 is executed again.
2. The flood diagnosis and scheduling method for the urban power transmission line according to claim 1, wherein:
the data analysis early warning module stores historical remote sensing images of the power transmission line when no flood disaster occurs.
3. The flood diagnosis and scheduling method for urban power transmission lines according to claim 1 or 2, wherein:
the step 2 comprises the following steps:
step 201: after the data analysis early warning module receives the real-time remote sensing image, the historical remote sensing image is taken, and difference processing is carried out on the historical remote sensing image and the real-time remote sensing image;
step 202: and when the difference processing result is larger than a preset threshold value and more than 80% of data of the real-time remote sensing image is between the two preset threshold values, judging that the flood disaster occurs.
4. The flood diagnosis and scheduling method for urban power transmission lines according to claim 1 or 2, wherein:
the data analysis early warning module is provided with a disaster identification and disaster grade evaluation model;
and inputting the received power monitoring real-time data and the received traffic monitoring real-time data into a disaster identification and disaster grade evaluation model to further judge whether a flood disaster occurs, confirm the severity of the disaster and obtain the precipitation grade.
5. The flood diagnosis and scheduling method for the urban power transmission line according to claim 4, wherein:
the method for obtaining the disaster identification and disaster grade evaluation model comprises the following steps:
step 401: acquiring historical data of power monitoring and historical data of traffic monitoring under different precipitation quantities;
step 402: taking the power monitoring historical data and the traffic monitoring historical data as training sets, and training based on a deep neural network to obtain a disaster identification and disaster grade evaluation model;
step 403: and installing the trained disaster identification and disaster grade evaluation model to the data analysis early warning module.
6. The method for diagnosing and scheduling flooding of urban power transmission lines according to any one of claims 1, 2 or 5, characterized in that:
in the step 6, when the precipitation reaches the level below the rainstorm, the dispatching center controls the underground pipe network flow control module to adjust the underground pipe network flow switch valve;
when the precipitation reaches the level above rainstorm, the distributed drainage pressure of the underground pipe network in the peripheral area is switched on.
7. The flood diagnosis and scheduling method for the urban power transmission line according to claim 6, wherein:
preferentially discharging the area with the highest safety level according to the level of the safety level of the area;
and the discharge amount of the low-lying water area is preferentially discharged in the area with the same safety level.
8. A flood diagnosis and scheduling system of an urban power transmission line, which is used for the flood diagnosis and scheduling method of the urban power transmission line according to any one of claims 1 to 7, the system comprises a data acquisition module, a data analysis and early warning module, a scheduling module and an underground pipe network flow control module, and is characterized in that:
the data acquisition module comprises a remote sensing image acquisition unit, an electric power data acquisition unit and a traffic data acquisition unit;
the remote sensing image acquisition unit acquires a real-time remote sensing image along the electric line and transmits the real-time remote sensing image to the data analysis and early warning module;
the electric power data acquisition unit acquires electric power monitoring real-time data along the electric line and transmits the electric power monitoring real-time data to the data analysis and early warning module;
the traffic data acquisition unit acquires traffic monitoring real-time data along the electric line and transmits the data to the data analysis and early warning module;
the data analysis early warning module receives the real-time remote sensing image and judges whether the real-time remote sensing image data is abnormal or not, and when the judgment result is abnormal, flood disasters occur;
the data analysis early warning module further analyzes whether flood disasters occur or not according to the power monitoring real-time data and the traffic monitoring real-time data, confirms the severity of the disasters and transmits the analysis results to the scheduling module;
the dispatching module controls the underground pipe network flow control module according to the analysis result of the data analysis early warning module so as to adjust an underground pipe network flow switch valve;
and the underground pipe network flow control module feeds flow information back to the analysis and early warning module.
9. The flood diagnosis and scheduling system of urban power transmission lines of claim 8, wherein:
the data analysis early warning module stores historical remote sensing images of the power transmission line when no flood disaster occurs;
and the data analysis early warning module is provided with a disaster identification and disaster grade evaluation model.
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| CN113888039A (en) * | 2021-10-29 | 2022-01-04 | 江苏天汇空间信息研究院有限公司 | Intelligent water affair comprehensive information management system based on big data |
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| CN113888039A (en) * | 2021-10-29 | 2022-01-04 | 江苏天汇空间信息研究院有限公司 | Intelligent water affair comprehensive information management system based on big data |
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