Urban drainage pipe network operation monitoring method and system

Abstract

The invention relates to the technical field of drainage pipe network monitoring, and discloses an urban drainage pipe network operation monitoring method and system, and the method comprises the steps: obtaining a pipe network information set, obtaining an external information set, generating a short-term index and / or a long-term index, obtaining a short-term monitoring early warning, and obtaining a long-term monitoring early warning. The system corresponds to the method. According to the application, the pipe network information set is utilized to monitor the pipe network, the corresponding upstream and downstream pipe network optimization is utilized to monitor the pipe network, the external information set is utilized to monitor the influence of external factors on the pipe network, and the corresponding external factor optimization for monitoring the upstream and downstream pipe network is utilized to monitor the pipe network. The pipe network information set and the external information set provide a data basis for generating short-term indexes and / or long-term indexes, short-term monitoring and early warning are obtained through the short-term indexes, long-term monitoring and early warning are obtained through the long-term indexes, and parallel short-term monitoring and long-term monitoring improve the operation evaluation performance and decision planning performance of the pipe network. And finally, the operation monitoring of the urban drainage pipe network is optimized.

Description

Technical Field

[0001] The present application relates to the technical field of drainage network monitoring, and specifically to a method and system for monitoring the operation of an urban drainage network. Background Art

[0002] As the scale of cities in my country continues to expand, the scale of urban drainage pipe networks is also expanding. As an important infrastructure, the normal operation of urban drainage pipe networks is an important guarantee for urban production and life. Therefore, it is necessary to study their monitoring.

[0003] Chinese patent number CN202410027316.3 discloses a drainage network monitoring method and system, which includes: obtaining the drainage network data set collected in real time by each monitoring station, and extracting several attribute values ​​contained in the drainage network data set; performing retrospective analysis on several attribute values ​​to extract defective network data contained in the drainage network data set, and performing early warning analysis on the defective network data to determine in real time whether the defective network data meets the preset requirements; if it is determined in real time that the defective network data does not meet the preset requirements, a corresponding early warning message is issued to complete the real-time monitoring of the drainage network. However, the invention does not consider the defects of the pipe itself, and does not consider the impact of external factors on the operation of the network, thereby restricting its applicability.

[0004] In summary, the existing technology urgently needs a technical solution to optimize the operation monitoring of urban drainage pipe networks. Summary of the invention

[0005] The purpose of this application is to provide a method and system for monitoring the operation of an urban drainage network to solve the technical problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, this application discloses the following technical solutions:

[0007] In a first aspect, the present application discloses a method for monitoring the operation of an urban drainage network, the method comprising:

[0008] Step 1: Obtain the pipe network information set;

[0009] Step 2: Obtain external information set;

[0010] Step 3: Generate short-term indicators and / or long-term indicators using the pipe network information set and the external information set;

[0011] Step 4: Using the short-term indicators to obtain short-term monitoring and early warning of the pipeline network operation;

[0012] Step 5: Using the long-term indicators to obtain long-term monitoring and early warning of pipeline network operation;

[0013] The pipe network information set stores at least location data, pipe network saturation rate, upstream saturation rate and downstream saturation rate;

[0014] The external information set stores at least construction data, meteorological data and emergency data;

[0015] The pipe network information set and the external information set are both information sets after data normalization;

[0016] The short-term monitoring and early warning is used to guide the short-term operation of the pipeline network;

[0017] The long-term monitoring and early warning are used to guide the long-term operation of the pipeline network;

[0018] The short term corresponds to a preset short-term monitoring duration, the long term corresponds to a preset long-term monitoring duration, and the long-term monitoring duration is much longer than the short-term monitoring duration.

[0019] Preferably, the location data is used to characterize location information of the pipe network;

[0020] The pipe network saturation rate is used to characterize the utilization degree of the pipe network;

[0021] The upstream saturation rate is used to characterize the utilization degree of the upstream pipeline network connected to the pipeline network;

[0022] The downstream saturation rate is used to characterize the utilization degree of the downstream pipeline network connected to the pipeline network.

[0023] Preferably, the construction data is used to characterize the corresponding degree of influence of any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network on any one or more of the pipeline network saturation rate, the upstream saturation rate and the downstream saturation rate due to construction;

[0024] The meteorological data is used to characterize the corresponding degree of influence of any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network on any one or more of the pipeline network saturation rate, the upstream saturation rate and the downstream saturation rate due to meteorology;

[0025] The burst data is used to characterize the degree of impact of any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network due to emergencies other than construction and meteorology on any one or more of the pipeline network saturation rate, the upstream saturation rate and the downstream saturation rate.

[0026] Preferably, the process of generating the short-term indicator specifically includes:

[0027] Acquire a corresponding short-term pipe network information set based on the short-term monitoring duration and the pipe network information set;

[0028] Acquire a corresponding short-term external information set based on the short-term monitoring duration and the external information set;

[0029] The short-term index is generated using the short-term pipe network information set and the short-term external information set.

[0030] Preferably, the process of obtaining the short-term monitoring and early warning includes:

[0031] Based on the short-term indicators and the preset short-term indicator guide table, corresponding short-term warning measures are retrieved, and the short-term indicators and the short-term warning measures are packaged and defined as the short-term monitoring warning and output;

[0032] The short-term indicator guide table stores the short-term warning measures that should be taken for the short-term indicators with different values;

[0033] The short-term early warning measures are specifically treatment measures taken on any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network.

[0034] Preferably, the short-term guidance of pipeline network operation specifically includes:

[0035] Analyze the short-term monitoring and early warning to obtain the short-term indicators and the short-term early warning measures;

[0036] Any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network are processed based on the corresponding short-term warning measures.

[0037] Preferably, the process of generating the long-term indicator specifically includes:

[0038] Acquire a corresponding long-term pipe network information set based on the long-term monitoring duration and the pipe network information set;

[0039] Acquire a corresponding long-term external information set based on the long-term monitoring duration and the external information set;

[0040] The long-term indicator is generated using the long-term pipe network information set and the long-term external information set.

[0041] Preferably, the acquisition process of the long-term monitoring and early warning specifically includes:

[0042] Based on the long-term indicators and the preset long-term indicator guide table, corresponding long-term early warning measures are retrieved, and the long-term indicators and the long-term early warning measures are packaged and defined as the long-term monitoring and early warning, and then output;

[0043] The long-term indicator guide table stores the long-term early warning measures that should be taken for the long-term indicators with different values;

[0044] The long-term early warning measures are specifically suggestions for improvement of any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network.

[0045] Preferably, the long-term guidance of the pipe network operation specifically includes:

[0046] Analyze the long-term monitoring and early warning to obtain the long-term indicators and the long-term early warning measures;

[0047] Improvement suggestions for any one or more of the pipeline network, upstream pipeline network and downstream pipeline network based on the long-term early warning measures assessment.

[0048] In a second aspect, the present application discloses a system for monitoring the operation of an urban drainage network, which is applicable to the above-mentioned method for monitoring the operation of an urban drainage network, and the system comprises:

[0049] A pipe network information acquisition module, wherein the pipe network information acquisition module is configured to acquire a pipe network information set;

[0050] An external information acquisition module, wherein the external information acquisition module is configured to acquire an external information set;

[0051] An indicator generation module, the indicator generation module is configured to obtain short-term indicators and / or long-term indicators using the pipe network information set and the external information set;

[0052] A short-term warning module, wherein the short-term warning module is configured to obtain short-term monitoring and warning of the operation of the pipeline network using the short-term indicators;

[0053] A long-term early warning module, wherein the long-term early warning module is configured to obtain long-term monitoring and early warning of the operation of the pipeline network by using the long-term indicators;

[0054] The pipe network information set stores at least location data, pipe network saturation rate, upstream saturation rate and downstream saturation rate;

[0055] The external information set stores at least construction data, meteorological data and emergency data;

[0056] The pipe network information set and the external information set are both information sets after data normalization;

[0057] The short-term monitoring and early warning is used to guide the short-term operation of the pipeline network;

[0058] The long-term monitoring and early warning are used to guide the long-term operation of the pipeline network;

[0059] The short term corresponds to a preset short-term monitoring duration, the long term corresponds to a preset long-term monitoring duration, and the long-term monitoring duration is much longer than the short-term monitoring duration.

[0060] Beneficial effects: The urban drainage network operation monitoring method and system of the present application utilizes the network information set to realize the monitoring of the network, and utilizes the corresponding upstream and downstream networks to optimize the monitoring of the network, utilizes the external information set to realize the monitoring of the impact of external factors on the network, and optimizes the monitoring of the network by corresponding external factors of the upstream and downstream networks. The network information set and the external information set provide a data basis for generating short-term indicators and / or long-term indicators, and short-term monitoring and early warning are obtained by utilizing short-term indicators, and long-term monitoring and early warning are obtained by utilizing long-term indicators. Parallel short-term monitoring and long-term monitoring improve the operation evaluation performance and decision-making planning performance of the network, thereby realizing the optimization of urban drainage network operation monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0062] Figure 1 A flowchart of a method for monitoring the operation of an urban drainage network provided in an embodiment of the present application;

[0063] Figure 2 This is a structural block diagram of the urban drainage network operation monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0064] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0065] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0066] In a first aspect, this embodiment discloses Figure 1 A method for monitoring the operation of an urban drainage network is shown, the method comprising:

[0067] Step 1: Obtain the pipe network information set;

[0068] Step 2: Obtain external information set;

[0069] Step 3: Generate short-term indicators and / or long-term indicators using the network information set and the external information set;

[0070] Step 4: Use short-term indicators to obtain short-term monitoring and early warning of pipeline network operation;

[0071] Step 5: Use long-term indicators to obtain long-term monitoring and early warning of pipeline network operation.

[0072] The pipe network information set stores at least location data, pipe network saturation rate, upstream saturation rate and downstream saturation rate.

[0073] The external information set stores at least construction data, meteorological data and emergency data.

[0074] The pipe network information set and the external information set are both information sets after data normalization. It should be noted that the data normalization technology used in this embodiment is any one of the existing data processing technologies that can unify and calculate the dimensions of the data in the pipe network information set and the external information set.

[0075] Short-term monitoring and early warning are used to guide short-term pipeline network operations.

[0076] Long-term monitoring and early warning are used to guide long-term pipeline network operations.

[0077] The short term corresponds to the preset short-term monitoring duration, and the long term corresponds to the preset long-term monitoring duration, and the long-term monitoring duration is much longer than the short-term monitoring duration. It should be noted that the preset short-term monitoring duration and long-term monitoring duration in this embodiment are durations that can be determined by technical personnel in this field based on common knowledge. Exemplarily, the short-term monitoring duration is the number of days corresponding to the weather forecast, and the long-term monitoring duration is the number of months corresponding to the replacement of pipeline network equipment. In this regard, this embodiment achieves the improvement of the real-time operation evaluation of the pipeline network and the forward-looking nature of decision-making planning by dividing and parallelizing short-term monitoring and early warning and long-term monitoring and early warning.

[0078] Specifically, the location data is used to characterize the location information of the pipe network.

[0079] The pipeline network saturation rate is used to characterize the utilization degree of the pipeline network.

[0080] The upstream saturation rate is used to characterize the utilization degree of the upstream pipeline network connected to the pipeline network.

[0081] The downstream saturation rate is used to characterize the utilization degree of the downstream pipeline network connected to the pipeline network.

[0082] It should be noted that the network information required to obtain short-term indicators and / or long-term indicators in this embodiment is location data, network saturation rate, upstream saturation rate and downstream saturation rate, and the above-mentioned network information can be obtained using existing sensors and technologies known to those skilled in the art. Among them, the location data is used for the administrator to locate the network, and the network saturation rate, upstream saturation rate and downstream saturation rate are used to generate short-term indicators and / or long-term indicators. The rest of the large amount of network information that exists in the actual application of urban drainage network operation monitoring is not described in this text.

[0083] Based on the above, this embodiment uses the pipeline information set to realize the monitoring of the pipeline itself, and links the upstream and downstream pipelines to improve the monitoring quality of the pipeline, optimize the monitoring of the operation of the urban drainage pipeline network, and provide a data basis for generating short-term indicators and / or long-term indicators.

[0084] Specifically, the construction data is used to characterize the degree of influence of any one or more of the pipeline network, upstream pipeline network and downstream pipeline network on any one or more of the pipeline network saturation rate, upstream saturation rate and downstream saturation rate due to construction.

[0085] Meteorological data is used to characterize the degree of influence of any one or more of the pipeline network, upstream pipeline network and downstream pipeline network on any one or more of the pipeline network saturation rate, upstream saturation rate and downstream saturation rate due to meteorology.

[0086] The burst data is used to characterize the degree of impact of any one or more of the pipeline network, upstream pipeline network and downstream pipeline network caused by emergencies other than construction and meteorology on any one or more of the pipeline network saturation rate, upstream saturation rate and downstream saturation rate.

[0087] It should be noted that in the actual application of urban drainage network operation monitoring, it is not difficult to find that construction and weather are external factors that directly affect the operation of the network. For example, road excavation causes the suspension of part of the network, and extreme weather causes a short-term surge in drainage demand. Therefore, it is necessary to monitor construction data and meteorological data. Furthermore, emergencies, for example, traffic accidents cause damage to the network and thus affect the saturation rate, so it is necessary to monitor emergency data. And the above external information can be obtained using existing historical data and experience known to those skilled in the art. The network in this embodiment is connected to the upstream network and the downstream network.

[0088] Based on the above, this embodiment utilizes external information sets to monitor external factors of the pipeline network, and links the external factors of upstream and downstream pipeline networks to improve the monitoring quality of the pipeline network, optimize the monitoring of urban drainage pipeline network operation, and provide a data basis for generating short-term indicators and / or long-term indicators by quantifying external factors.

[0089] Specifically, the process of generating short-term indicators includes:

[0090] Obtaining a corresponding short-term pipe network information set based on the short-term monitoring duration and the pipe network information set;

[0091] Obtaining a corresponding short-term external information set based on the short-term monitoring duration and the external information set;

[0092] The short-term indicators are generated using the short-term network information set and the short-term external information set.

[0093] As a preferred implementation of this embodiment, the short-term indicator is calculated using a short-term indicator calculation formula, wherein the short-term indicator calculation formula is specifically:

[0094]

[0095] Among them, STI is a short-term indicator, SR N is the network saturation rate, SR U is the upstream saturation rate, SR U_τ is the preset upstream saturation threshold, SR D is the downstream saturation rate, SR D_τ is a preset downstream saturation threshold, α is a first correction parameter of the upstream saturation rate to the network saturation rate and 0<α<1, β is a second correction parameter of the downstream saturation rate to the network saturation rate and 0<β<1; the upstream saturation threshold and the downstream saturation threshold are used to define whether the upstream network and the downstream network are oversaturated. For example, if the upstream saturation threshold and the downstream saturation threshold are defined as 0.8, when the upstream saturation rate and / or the downstream saturation rate exceed 0.8, the network is considered to be in an oversaturated state, and abnormal phenomena such as water accumulation and overflow may occur; the first correction parameter and the second correction parameter are corrections to the network saturation rate based on the upstream saturation rate and / or the downstream saturation rate. For example, if the upstream is oversaturated, the flow rate from the upstream to the network will slow down, thereby increasing the network saturation rate; if the downstream is oversaturated, the flow rate from the network to the downstream will slow down, thereby increasing the network saturation rate or even backflow. However, this influence relationship is not reflected in the current network saturation rate. Those skilled in the art can obtain the corresponding first correction parameter and second correction parameter for characterizing this influence relationship from empirical values, thereby changing the current network saturation rate and obtaining a short-term indicator.

[0096] Furthermore, when there is a corresponding external information set in time, the short-term indicator calculation formula is updated to the external short-term indicator calculation formula, specifically:

[0097]

[0098] Among them, a is the sum of construction data, meteorological data and emergency data in the external information set corresponding to the pipeline network, b is the sum of construction data, meteorological data and emergency data in the external information set corresponding to the upstream pipeline network, and c is the sum of construction data, meteorological data and emergency data in the external information set corresponding to the pipeline network; when any one or more of the pipeline network, upstream pipeline network and downstream pipeline network has a corresponding external information set, for example, sudden heavy rain in the upstream will cause any one or more of the corresponding pipeline network saturation rate, upstream saturation rate and downstream saturation rate to increase, but this influence relationship is not reflected in any one or more of the current pipeline network, upstream pipeline network and downstream pipeline network. Technical personnel in this field can obtain the corresponding a, b and c used to characterize this influence relationship from empirical values, thereby correspondingly changing any one or more of the current pipeline network, upstream pipeline network and downstream pipeline network to obtain short-term indicators.

[0099] Based on the above, this embodiment realizes the correction of the pipeline network saturation rate through the linkage of upstream and downstream pipelines, and realizes the correction of any one or more of the pipeline network saturation rate, upstream saturation rate and downstream saturation rate through an external information set, thereby further optimizing the correction of the pipeline network saturation rate and realizing the calculation of short-term indicators of the pipeline network. By realizing the calculation of short-term indicators, an accurate data basis is provided for short-term monitoring and early warning, thereby improving the timeliness of monitoring the operation of urban drainage pipeline networks.

[0100] Specifically, the process of obtaining short-term monitoring and early warning includes:

[0101] Based on the short-term indicators and the preset short-term indicator guide table, the corresponding short-term warning measures are retrieved, and the short-term indicators and short-term warning measures are packaged and defined as short-term monitoring and warning and output;

[0102] The short-term indicator guide table stores short-term warning measures that should be taken for short-term indicators with different values;

[0103] Short-term early warning measures specifically refer to treatment measures taken on any one or more of the pipeline network, upstream pipeline network and downstream pipeline network.

[0104] It should be noted that the short-term indicator guide table in this embodiment is formulated based on the emergency response plan for urban drainage networks that is well known to technical personnel in this field. For example, the corresponding response measures when the network saturation rate is oversaturated are recorded in documents such as the Urban Drainage Network Emergency Response Plan.

[0105] Based on the above, this embodiment generates short-term monitoring and early warning through a short-term indicator guide table, converts short-term indicators into corresponding short-term early warning measures, realizes the effective conversion of monitoring results, is beneficial to the management of urban drainage network, and thus optimizes the monitoring of urban drainage network operation.

[0106] Specific, short-term guidance on pipeline network operation, including:

[0107] Analyze short-term monitoring and early warning to obtain short-term indicators and short-term early warning measures;

[0108] Any one or more of the pipeline network, upstream pipeline network and downstream pipeline network are processed based on the corresponding short-term early warning measures.

[0109] Based on the above, this embodiment realizes short-term guidance of pipe network operation, which is beneficial to the management of urban drainage pipe networks, thereby improving the real-time monitoring of urban drainage pipe network operation.

[0110] Specifically, the process of generating long-term indicators includes:

[0111] Obtaining a corresponding long-term pipe network information set based on the long-term monitoring duration and the pipe network information set;

[0112] Obtaining a corresponding long-term external information set based on the long-term monitoring duration and the external information set;

[0113] Long-term indicators are generated using long-term network information sets and long-term external information sets.

[0114] As a preferred implementation of this embodiment, the long-term indicator is calculated using a long-term indicator calculation formula, wherein the long-term indicator calculation formula is specifically:

[0115]

[0116] Among them, LTI is a long-term indicator based on long-term monitoring time, LOS N is the first pipe network oversaturation rate obtained based on the pipe network saturation rate statistics, ELOS N is the second pipe network supersaturation rate corresponding to the existence of an external information set, which is obtained based on the pipe network supersaturation rate. U,N is the oversaturation rate of the third pipe network corresponding to the time when the pipe network saturation rate and the upstream saturation rate are both oversaturated, CLOS N,D is the fourth pipe network supersaturation occurrence rate corresponding to the time when the pipe network saturation rate and the downstream saturation rate are both supersaturated; Indicates the influence of external information set on the saturation rate of the pipe network through Implement external information set to correct the pipe network saturation rate through CLOS U,N and CLOS N,D Realize the correction of pipeline saturation rate by linking the upstream and downstream pipeline networks.

[0117] Based on the above, this embodiment utilizes external information sets and linkages between upstream and downstream to achieve correction of the incidence rate of pipe network oversaturation to obtain long-term indicators, and achieves long-term monitoring of the pipe network through long-term indicators, providing a data basis for long-term monitoring and early warning, and improving the foresight of urban drainage pipe network operation monitoring.

[0118] Specifically, the process of obtaining long-term monitoring and early warning includes:

[0119] Based on the long-term indicators and the preset long-term indicator guide table, the corresponding long-term early warning measures are retrieved, and the long-term indicators and long-term early warning measures are packaged and defined as long-term monitoring and early warning and output;

[0120] The long-term indicator guide table stores the long-term early warning measures that should be taken for long-term indicators with different values;

[0121] Long-term early warning measures specifically include improvement suggestions for any one or more of the pipeline network, upstream pipeline network and downstream pipeline network.

[0122] It should be noted that the long-term indicator guide table in this embodiment is formulated based on the management plan of the urban drainage network that is well known to technical personnel in this field, and exemplarily, provides improvement suggestions for the maintenance of networks with excessively high rates of oversaturation, such as the municipal drainage network geographic information system.

[0123] Based on the above, this embodiment generates long-term monitoring and early warning through a long-term indicator guide table, converts long-term indicators into corresponding long-term early warning measures, realizes the effective conversion of monitoring results, is beneficial to the management of urban drainage network, and thus optimizes the monitoring of urban drainage network operation.

[0124] Specific, long-term guidance on network operation, including:

[0125] Analyze long-term monitoring and early warning to obtain long-term indicators and long-term early warning measures;

[0126] Improvement suggestions for any one or more of the pipeline network, upstream pipeline network and downstream pipeline network based on the long-term early warning measures assessment.

[0127] Based on the above, this embodiment achieves long-term guidance of pipe network operation, which is beneficial to the management of urban drainage pipe networks, thereby improving the foresight of monitoring the operation of urban drainage pipe networks.

[0128] In a second aspect, this embodiment discloses Figure 2 A system for monitoring the operation of a city drainage network is shown, and the system is applicable to the method for monitoring the operation of a city drainage network as described above, and the system comprises:

[0129] A pipe network information acquisition module, the pipe network information acquisition module is configured to acquire a pipe network information set;

[0130] An external information acquisition module, the external information acquisition module is configured to acquire an external information set;

[0131] An indicator generation module, the indicator generation module is configured to obtain short-term indicators and / or long-term indicators using the pipe network information set and the external information set;

[0132] A short-term warning module is configured to obtain short-term monitoring and warning of the operation of the pipeline network using short-term indicators;

[0133] Long-term warning module, the long-term warning module is configured to obtain long-term monitoring and warning of pipeline network operation using long-term indicators;

[0134] The pipe network information set stores at least location data, pipe network saturation rate, upstream saturation rate and downstream saturation rate;

[0135] The external information set stores at least construction data, meteorological data and emergency data;

[0136] The pipe network information set and the external information set are both information sets after data normalization;

[0137] Short-term monitoring and early warning are used to guide short-term pipeline network operation;

[0138] Long-term monitoring and early warning are used to guide long-term pipe network operation;

[0139] Short-term corresponds to the preset short-term monitoring duration, long-term corresponds to the preset long-term monitoring duration, and the long-term monitoring duration is much longer than the short-term monitoring duration.

[0140] It should be noted that the urban drainage pipe network operation monitoring system of the present embodiment corresponds to the urban drainage pipe network operation monitoring method mentioned above. Therefore, the contents not specifically described in the urban drainage pipe network operation monitoring system of the present embodiment may include but are not limited to functional definitions, working principles and technical effects, which are the same as those of the urban drainage pipe network operation monitoring method mentioned above and will not be elaborated in this text.

[0141] In summary, the urban drainage network operation monitoring method and system of the present embodiment utilizes the network information set to realize the monitoring of the network, and utilizes the corresponding upstream and downstream networks to optimize the monitoring of the network, utilizes the external information set to realize the monitoring of the impact of external factors on the network, and optimizes the monitoring of the network by corresponding external factors of the upstream and downstream networks. The network information set and the external information set provide a data basis for generating short-term indicators and / or long-term indicators, and short-term indicators are used to obtain short-term monitoring and early warning, and long-term indicators are used to obtain long-term monitoring and early warning. Parallel short-term monitoring and long-term monitoring improve the operation evaluation performance and decision-making planning performance of the network, thereby realizing the optimization of urban drainage network operation monitoring.

[0142] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0143] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for monitoring the operation of an urban drainage network, characterized in that: The method includes: Step 1: Obtain the pipe network information set; Step 2: Obtain external information set; Step 3: Generate short-term indicators and / or long-term indicators using the pipe network information set and the external information set; Step 4: Using the short-term indicators to obtain short-term monitoring and early warning of the pipeline network operation; Step 5: Using the long-term indicators to obtain long-term monitoring and early warning of pipeline network operation; The pipe network information set stores at least location data, pipe network saturation rate, upstream saturation rate and downstream saturation rate; The external information set stores at least construction data, meteorological data and emergency data; The pipe network information set and the external information set are both information sets after data normalization; The short-term monitoring and early warning is used to guide the short-term operation of the pipeline network; The long-term monitoring and early warning are used to guide the long-term operation of the pipeline network; The short term corresponds to a preset short-term monitoring duration, the long term corresponds to a preset long-term monitoring duration, and the long-term monitoring duration is much longer than the short-term monitoring duration.

2. The method for monitoring the operation of an urban drainage network according to claim 1, characterized in that: The location data is used to characterize the location information of the pipe network; The pipe network saturation rate is used to characterize the utilization degree of the pipe network; The upstream saturation rate is used to characterize the utilization degree of the upstream pipeline network connected to the pipeline network; The downstream saturation rate is used to characterize the utilization degree of the downstream pipeline network connected to the pipeline network.

3. The method for monitoring the operation of an urban drainage network according to claim 1, characterized in that: The construction data is used to characterize the corresponding degree of influence of any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network on any one or more of the pipeline network saturation rate, the upstream saturation rate and the downstream saturation rate due to construction; The meteorological data is used to characterize the corresponding degree of influence of any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network on any one or more of the pipeline network saturation rate, the upstream saturation rate and the downstream saturation rate due to meteorology; The burst data is used to characterize the degree of impact of any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network due to emergencies other than construction and meteorology on any one or more of the pipeline network saturation rate, the upstream saturation rate and the downstream saturation rate.

4. The method for monitoring the operation of an urban drainage network according to claim 1, characterized in that: The generation process of the short-term indicator specifically includes: Acquire a corresponding short-term pipe network information set based on the short-term monitoring duration and the pipe network information set; Acquire a corresponding short-term external information set based on the short-term monitoring duration and the external information set; The short-term index is generated using the short-term pipe network information set and the short-term external information set.

5. The method for monitoring the operation of an urban drainage network according to claim 4, characterized in that: The acquisition process of the short-term monitoring and early warning specifically includes: Based on the short-term indicators and the preset short-term indicator guide table, corresponding short-term warning measures are retrieved, and the short-term indicators and the short-term warning measures are packaged and defined as the short-term monitoring warning and output; The short-term indicator guide table stores the short-term warning measures that should be taken for the short-term indicators with different values; The short-term early warning measures are specifically treatment measures taken on any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network.

6. The method for monitoring the operation of urban drainage pipe network according to claim 5, characterized in that: The short-term guidance on pipeline network operation specifically includes: Analyze the short-term monitoring and early warning to obtain the short-term indicators and the short-term early warning measures; Any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network are processed based on the corresponding short-term warning measures.

7. The method for monitoring the operation of an urban drainage network according to claim 1, characterized in that: The generation process of the long-term indicator specifically includes: Acquire a corresponding long-term pipe network information set based on the long-term monitoring duration and the pipe network information set; Acquire a corresponding long-term external information set based on the long-term monitoring duration and the external information set; The long-term indicator is generated using the long-term pipe network information set and the long-term external information set.

8. The method for monitoring the operation of an urban drainage network according to claim 7, characterized in that: The acquisition process of the long-term monitoring and early warning specifically includes: Based on the long-term indicators and the preset long-term indicator guide table, corresponding long-term early warning measures are retrieved, and the long-term indicators and the long-term early warning measures are packaged and defined as the long-term monitoring and early warning, and then output; The long-term indicator guide table stores the long-term early warning measures that should be taken for the long-term indicators with different values; The long-term early warning measures are specifically suggestions for improvement of any one or more of the pipeline network, the upstream pipeline network and the downstream pipeline network.

9. The method for monitoring the operation of urban drainage pipe network according to claim 8, characterized in that: The long-term pipeline network operation guidance specifically includes: Analyze the long-term monitoring and early warning to obtain the long-term indicators and the long-term early warning measures; Improvement suggestions for any one or more of the pipeline network, upstream pipeline network and downstream pipeline network based on the long-term early warning measures assessment.

10. A system for monitoring the operation of a city drainage network, the system being applicable to the method for monitoring the operation of a city drainage network as claimed in any one of claims 1 to 9, characterized in that: The system includes: A pipe network information acquisition module, wherein the pipe network information acquisition module is configured to acquire a pipe network information set; An external information acquisition module, wherein the external information acquisition module is configured to acquire an external information set; An indicator generation module, the indicator generation module is configured to obtain short-term indicators and / or long-term indicators using the pipe network information set and the external information set; A short-term warning module, wherein the short-term warning module is configured to obtain short-term monitoring and warning of the operation of the pipeline network using the short-term indicators; A long-term early warning module, wherein the long-term early warning module is configured to obtain long-term monitoring and early warning of the operation of the pipeline network by using the long-term indicators; The pipe network information set stores at least location data, pipe network saturation rate, upstream saturation rate and downstream saturation rate; The external information set stores at least construction data, meteorological data and emergency data; The pipe network information set and the external information set are both information sets after data normalization; The short-term monitoring and early warning is used to guide the short-term operation of the pipeline network; The long-term monitoring and early warning are used to guide the long-term operation of the pipeline network; The short term corresponds to a preset short-term monitoring duration, the long term corresponds to a preset long-term monitoring duration, and the long-term monitoring duration is much longer than the short-term monitoring duration.

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