A method and system for monitoring and early warning analysis of the entire urban water supply process

Abstract

The present invention discloses a method and system for monitoring and early warning analysis of the entire process of urban water supply, including: real-time monitoring of the entire process of urban water supply, obtaining upper-end data and lower-end data of each link of the water supply; presetting a comparison program in the detection system, comparing and recording the data collected in each link, and regularly updating the comparison program according to the set comparison cycle; analyzing the comparison results, judging whether it is necessary for the monitoring and early warning system to issue an early warning or alarm, and executing subsequent operations based on the judgment results. This method can monitor each link node of the water supply system in real time, timely predict and identify faults, and at the same time perform fault analysis, fault filing, fault location, fault warning and propose emergency plans through the system logic judgment module, thereby improving the safety and reliability of the water supply system and the work efficiency of maintenance and operation, and solving the problems of water outages, insufficient water pressure, and serious leakage rates in traditional urban pipe networks that cannot be monitored and handled in a timely manner.

Description

Technical Field

[0001] The present invention relates to the technical field of urban water supply monitoring, and in particular to a method and system for monitoring and early warning analysis of the entire urban water supply process. Background Art

[0002] At present, the existence of the dendritic network of water supply system affects the reliability and water quality of municipal water supply. Some urban water supply networks have not been fully upgraded and renovated. If any pipe section in the dendritic network is damaged, all pipelines after that section will be cut off from water. In addition, at the end of the dendritic network, because the water consumption is very small, the water flow in the pipe is slow, which can easily form stagnant water, causing the water quality to deteriorate easily and the water to become muddy and red.

[0003] The pipe network system is old, with severely deteriorating pipes and high leakage rates, making it difficult to guarantee water quality and quantity. Rapid economic development has led to significant improvements in water supply pipe materials. Initially, due to weak foundations, concrete and gray cast iron were the primary materials used. Gray cast iron was the most widely used material, but it suffers from poor seismic resistance, heavy weight, and frequent joint leaks, pipe breaks, and bursts, causing significant production losses. Furthermore, the old pipe network system is aging, with some pipes reaching the end of their service life and experiencing significant deterioration. Leakage rates are constantly rising, with some urban water supply companies experiencing recovery rates of less than 50%. This increases water supply costs, impacts the quality of water used by local residents, and has become a bottleneck restricting the development of urban water supply companies.

[0004] The basic information of the water supply network is incomplete, and the maintenance and management are not in place. Most urban pipelines are buried underground and are complicated. Due to the long construction period and wide span of the pipeline network, as well as the limited quality of technical personnel at the time, water supply network information was often missed, and there was no basis for maintenance and management. The work was relatively blind and difficult to implement. Summary of the Invention

[0005] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0006] In view of the above existing problems, the present invention is proposed.

[0007] Therefore, the technical problem solved by the present invention is: the problems of water outage, insufficient water pressure and serious leakage rate in traditional urban pipe networks that cannot be monitored and handled in a timely manner.

[0008] To solve the above technical problems, the present invention provides the following technical solution: a method for monitoring and early warning analysis of the entire urban water supply process, comprising the following steps:

[0009] Real-time monitoring of the entire urban water supply process, obtaining upstream and downstream data of each link of water supply;

[0010] A comparison program is preset in the detection system to compare and record the data collected in each link, and the comparison program is updated regularly according to the set comparison cycle;

[0011] Compare and analyze the results to determine whether the monitoring and early warning system needs to issue an early warning or alarm, and perform subsequent operations based on the judgment results.

[0012] As a preferred embodiment of the method for monitoring and early warning analysis of the entire urban water supply process described in the present invention, the upper-end data includes monitoring link, monitoring time, predicted and actual water inflow at the monitoring location, predicted and actual water inflow range at the monitoring location, reference water inflow at the monitoring location, reference water inflow range at the monitoring location, water inflow rate at the monitoring location, and reference water inflow rate at the monitoring location;

[0013] The lower-end data include monitoring link, monitoring time, predicted and actual water output of the monitoring location, predicted and actual water output range of the monitoring location, reference water output of the monitoring location, reference water output range of the monitoring location, water output rate of the monitoring location, and reference water output rate of the monitoring location.

[0014] As a preferred solution of the urban water supply whole process monitoring, early warning and analysis method described in the present invention, the comparison program includes setting the upper and lower reference range data standards of each water supply link according to the urban water supply standard, comparing the actual data of each link with the reference range data standard one by one, recording the number of out-of-range times, out-of-range links and out-of-range data volume where the comparison failed, and marking the entire water supply line where the comparison failed as yellow; the comparison program also includes introducing neural network technology, using historical data as a training set for model training to obtain more accurate water inlet and outlet prediction results, and in terms of signal processing, introducing wavelet analysis technology, performing multi-scale decomposition and reconstruction on the collected data to extract representative characteristic signals and remove noise interference, thereby improving the accuracy and stability of the comparison program.

[0015] As a preferred embodiment of the method for monitoring and early warning analysis of the entire urban water supply process described in the present invention, the comparison failure includes: the occurrence of two or more data exceeding the reference range at the upper and lower ends of each link is considered a comparison failure; during the comparison process, the first occurrence of a comparison failure result in which the amount of data does not exceed 30% of the reference range at a non-critical node link is ignored, that is, only recorded and monitored in real time, but no analysis or early warning is performed;

[0016] The non-critical nodes refer to non-maximum pressure nodes, non-initial or terminal ends of water supply links, non-urgent pipelines, non-bend pipelines, and non-hub nodes;

[0017] If the comparison failure problem occurs not for the first time during the comparison process, the cause of the failure needs to be analyzed and determined, and a diagnostic plan needs to be proposed. When a comparison failure occurs not for the first time in each link and the number of comparison failures is four or more, it is deemed that a fault problem occurs in the node of the measured link, and three types of early warning alarm signals are sent to the superior of the faulty link node. The water supply line where the faulty link is located is marked yellow throughout the line, and the superior of the faulty link node conveys the early warning information and fault location information to the system logic judgment module. The system logic judgment module analyzes and determines the cause of the fault. If the system logic judgment module and the early warning system comprehensively determine that the fault cannot be resolved remotely, that is, there is a possibility that a dangerous situation cannot be ruled out, then the water supply to the line and hub location where the faulty node is located will be immediately stopped until it is predicted that the fault will no longer occur or the dangerous situation that has occurred is completely eliminated. At the same time, the early warning system records and stores the number of comparison failures, the cause of the fault, and the specific fault location historical records;

[0018] If the link node where the comparison fails is on the water supply line marked in yellow or is at a secondary fault location, all operation arrangements of the link node will be stopped immediately and the water supply will be stopped. The link node will send a second-class early warning alarm signal to the early warning system. After receiving the second-class early warning alarm signal, the early warning system will immediately mark the link node and its hub location in red and mark the entire water supply line to which the link node belongs in yellow. At the same time, the early warning system will send a fault request to the system logic judgment module, which will analyze and judge the cause of the fault at the fault location and the secondary yellow cause of the fault line and draw a conclusion. The conclusion will be uploaded to the system main station, and the main station will determine the subsequent process of the link node through comprehensive analysis and judgment.

[0019] If the link node where the comparison fails is a location point that has been marked red or is located on a water supply line marked yellow for the second time, all operation arrangements of the link node will be stopped immediately and the water supply will be stopped. The link node will send a first-class early warning alarm signal to the early warning system. After receiving the second-class early warning alarm signal, the early warning system will immediately mark the link node and its hub location point in red and mark the entire water supply line to which the link node belongs in red. At the same time, the early warning system will send an emergency rescue warning to the system logic judgment module. The system logic judgment module will analyze and judge the cause of the fault at the fault location and the reason for the red mark of the fault line and draw a conclusion. The conclusion will be uploaded to the storage system for registration and record. The main station will complete the original water supply plan through the backup water supply line.

[0020] As a preferred solution of the method for monitoring and early warning analysis of the entire process of urban water supply described in the present invention, the early warning alarm signal includes a first-class early warning alarm signal, a second-class early warning alarm signal and a third-class early warning alarm signal;

[0021] The first-class early warning alarm signal is the highest-level early warning alarm signal, that is, an alarm signal. The first-class early warning alarm signal is a station-wide notification signal, which is sent to all information receiving points in the station;

[0022] The second-class early warning alarm signal is a higher-level early warning alarm signal, and the signal receivers are the information receiving system of the water station where the fault location is located, the information receiving system of the adjacent water station and the information receiving system of the main station;

[0023] The three types of early warning alarm signals are secondary early warning alarm signals, and the signal receivers are the water station information receiving system where the fault location is located and the main station information receiving system.

[0024] As a preferred embodiment of the method for monitoring and early warning analysis of the entire urban water supply process described in the present invention, the predicted water inlet and outlet at the monitoring location includes: a prediction model is established based on the average liquid flow rate, and the specific process of the liquid average flow rate calculation formula is as follows:

[0025] V=C V RJ

[0026]

[0027]

[0028]

[0029]

[0030] Among them, V represents the average flow velocity of the pipe section obtained by calculation, which is an unknown quantity, and C V represents the pipe's Xie Cai coefficient, N represents the pipe characteristic coefficient, R represents the monitored hydraulic radius, D represents the radius of the water supply pipe, H1 represents the total water head at the monitored pipe start, H2 represents the total water head at the monitored pipe end, L represents the measured pipe length, P1 represents the monitored pressure at the pipe start, P2 represents the monitored pressure at the pipe end, ρ represents the liquid density of water, g represents the local acceleration of gravity, J represents the detected hydraulic slope of the pipe, J 水平 Indicates the hydraulic slope monitored when the pipeline is arranged horizontally;

[0031] Then calculate the cross-sectional pressure P using the following formula:

[0032]

[0033] Among them, C represents a constant, P represents the static pressure of the section, and ρgZ represents the potential pressure of the section. represents the cross-section dynamic pressure, and Z represents the monitored vertical height.

[0034] Another object of the present invention is to provide a city water supply whole process monitoring, early warning and analysis system, which can solve the problem that the existing city water supply system cannot be monitored in real time, cannot issue early warnings in time and cannot propose emergency plans by realizing city water supply whole process monitoring, early warning and analysis.

[0035] As a preferred embodiment of the urban water supply full-process monitoring and early warning analysis system described in the present invention, the system logic judgment module is used to perform fault prediction, fault analysis, and fault troubleshooting on the link nodes where the early warning system sends signals, obtain new operation plans through comprehensive analysis and judgment, and send the prediction, analysis, and troubleshooting results and the new operation plans to the system master station and the district water station information receiving station;

[0036] The system master station is used to monitor all water supply links in real time, coordinate all plans and alarms, and notify the dispatch of all station staff;

[0037] The district water station information receiving system is used to receive information from the system master station, early warning system and system logic judgment module;

[0038] Early warning system, used to provide timely feedback and early warning of abnormal links and nodes, and to achieve timely transmission of warning signals or warning information;

[0039] The monitoring system is used to detect key data information of each link in real time, compare the collected information with the comparison program, and transmit the results to the system logic judgment module, system main station and early warning system.

[0040] As a preferred solution of the urban water supply whole process monitoring and early warning analysis system described in the present invention, wherein: the system logic judgment module includes a fault prediction module and a fault analysis module;

[0041] The system master station includes a monitoring center, a database and an information transmission module;

[0042] The early warning system includes an early warning judgment module, an early warning unit and an alarm unit;

[0043] The monitoring system includes a monitoring information unit and a sensor.

[0044] As a preferred solution of the urban water supply whole process monitoring and early warning analysis system described in the present invention, the early warning system includes:

[0045] After the sensors of the monitoring system collect the data and information required by the system, the monitoring information unit will compare the collected data and information with the preset comparison program. If the comparison result is abnormal, the monitoring information unit will transmit the comparison abnormal data, the comparison result and the location point information of the collected data to the early warning system. The early warning judgment module will judge and select the early warning unit or the alarm unit to send a signal, send it to the system main station, the system logic judgment module and the district water station information receiving system, and return it to the monitoring system.

[0046] As a preferred solution of the urban water supply whole process monitoring and early warning analysis system described in the present invention, the system master station includes:

[0047] After the system master station, the system logic judgment module and the district water station information receiving system receive the signal from the early warning or alarm unit, the system logic judgment module analyzes and comprehensively judges the received signal, and uploads the analysis and judgment results to the system master station and the district water station information receiving system. The system master station formulates and executes the next plan and operation based on the uploaded results.

[0048] Beneficial effects of the present invention: The method of the present invention obtains the upper-end data and lower-end data of each link of the water supply based on the implementation detection of the monitoring system. The obtained data can be used to monitor the link nodes in real time, timely predict or identify faults, and perform fault analysis, fault filing, fault location and fault alarm through the system logic judgment module, thereby improving the safety and reliability of the water supply system and the work efficiency of maintenance and operation, and solving the problems of water outage, insufficient water pressure and serious leakage rate in traditional urban pipelines that cannot be monitored and cannot be handled in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0050] Figure 1 A flow chart of a method for monitoring, early warning and analyzing the entire urban water supply process provided by one embodiment of the present invention.

[0051] Figure 2 A schematic diagram of a system module for monitoring, early warning, and analysis of the entire urban water supply process, provided by one embodiment of the present invention.

[0052] Figure 3 A schematic diagram of a cross-sectional pressure value out-of-range test for a method for monitoring and early warning analysis of the entire urban water supply process provided by an embodiment of the present invention.

[0053] Figure 4 A schematic diagram of a cross-sectional pressure value out-of-range test for a method for monitoring and early warning analysis of the entire urban water supply process provided by an embodiment of the present invention.

[0054] Figure 5 A schematic diagram of a wavelet time-frequency diagram of a method for monitoring and early warning analysis of the entire urban water supply process provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0055] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0057] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0058] The present invention is described in detail with reference to schematic diagrams. For ease of illustration, cross-sectional views of device structures may be partially enlarged and not to scale when describing embodiments of the present invention. Furthermore, the schematic diagrams are merely illustrative and should not limit the scope of the present invention. Furthermore, in actual production, the three-dimensional dimensions of length, width, and depth should be included.

[0059] In the description of the present invention, it should be noted that the terms "upper, lower, inner, and outer" and other references to orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0060] In this disclosure, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they may refer to fixed, removable, or integral connections. They may also refer to mechanical, electrical, or direct connections, indirect connections through an intermediary, or internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in this disclosure.

[0061] Example 1

[0062] Reference Figure 1 , which is the first embodiment of the present invention, provides a method and system for monitoring and early warning analysis of the entire urban water supply process, including:

[0063] S1: Real-time monitoring of the entire urban water supply process, obtaining upstream and downstream data of each link of the water supply;

[0064] Furthermore, the upper-end data includes monitoring link, monitoring time, predicted and actual water inflow volume of the monitoring location, predicted and actual water inflow range of the monitoring location, reference water inflow volume of the monitoring location, reference water inflow range of the monitoring location, water inflow rate of the monitoring location, and reference water inflow rate of the monitoring location.

[0065] It should be noted that the lower-end data include monitoring links, monitoring time, predicted and actual water output of the monitoring location, predicted and actual water output range of the monitoring location, reference water output of the monitoring location, reference water output range of the monitoring location, water output rate of the monitoring location, and reference water output rate of the monitoring location.

[0066] It should also be noted that the predicted water inflow and outflow at the monitoring location includes: a prediction model is established based on the average liquid flow rate; the specific process of the liquid average flow rate calculation formula is as follows:

[0067]

[0068]

[0069]

[0070]

[0071]

[0072] Among them, V represents the average flow velocity of the pipe section obtained by calculation, which is an unknown quantity, and C Vrepresents the pipe's Xie Cai coefficient, N represents the pipe characteristic coefficient, R represents the monitored hydraulic radius, D represents the radius of the water supply pipe, H1 represents the total water head at the monitored pipe start, H2 represents the total water head at the monitored pipe end, L represents the measured pipe length, P1 represents the monitored pressure at the pipe start, P2 represents the monitored pressure at the pipe end, ρ represents the liquid density of water, g represents the local acceleration of gravity, J represents the detected hydraulic slope of the pipe, J 水平 Indicates the hydraulic slope monitored when the pipeline is arranged horizontally;

[0073] Then calculate the cross-sectional pressure P using the following formula:

[0074]

[0075] Among them, C represents a constant, P represents the static pressure of the section, and ρgZ represents the potential pressure of the section. represents the cross-section dynamic pressure, and Z represents the monitored vertical height.

[0076] S2: A comparison program is preset in the detection system to compare and record the data collected in each link, and the comparison program is regularly updated according to the set comparison cycle;

[0077] Furthermore, the comparison procedure includes setting upper and lower reference range data standards for each link of the water supply according to the urban water supply standard, comparing the actual data of each link with the reference range data standard one by one, recording the number of times the comparison fails, the links that exceed the range, and the amount of data that exceed the range, and marking the entire water supply line that fails the comparison as yellow.

[0078] Furthermore, the comparison program also includes introducing neural network technology and using historical data as a training set for model training to obtain more accurate water inlet and outlet prediction results. In terms of signal processing, wavelet analysis technology is introduced to perform multi-scale decomposition and reconstruction of the collected data to extract representative characteristic signals and remove noise interference, thereby improving the accuracy and stability of the comparison program.

[0079] It should be noted that wavelet analysis decomposes the acquired water quality and quantity signals into different frequency subbands, thereby extracting information at different frequencies. In water quality early warning analysis, water quality data is subjected to wavelet decomposition to obtain information at different frequency subbands. Each subband is then analyzed and predicted, and finally, a comprehensive early warning result for the entire water quality is derived. Characteristic information such as instantaneous peaks, cycles, and trends in the water quality data is extracted, enabling accurate prediction and judgment of abnormal water quality and quantity conditions. Furthermore, wavelet analysis incorporates influencing factor functions for different water quality data, including periodic and sudden variables, to enhance the accuracy and reliability of water quality early warnings.

[0080] Furthermore, the neural network includes establishing a water quality prediction model through learning and training, and using the model to perform water quality prediction and early warning analysis, and predicting and analyzing the probability of mutation of water quality data such as water quality and water quantity that changes nonlinearly when affected by pollution events.

[0081] It should be noted that the comparison failure includes that two or more data at the upper and lower ends of each link exceed the reference range data, which is considered a comparison failure. During the comparison process, the first occurrence of the comparison failure result in non-critical node links that does not exceed 30% of the reference range will be ignored and only recorded and monitored in real time, but no analysis and early warning judgment will be made.

[0082] It should also be noted that the non-critical node links refer to non-maximum pressure nodes, non-initial or terminal ends of water supply links, non-urgent pipelines, non-curved pipelines, and non-hub link nodes.

[0083] S3: Analyze the comparison results to determine whether the monitoring and early warning system needs to issue an early warning or alarm, and perform subsequent operations based on the judgment results.

[0084] It should be noted that if the comparison failure problem occurs non-for the first time during the comparison process, the cause of the failure needs to be analyzed and determined, and a diagnostic plan needs to be proposed. When a non-first comparison failure occurs in each link and the number of comparison failures is four or more, it is considered that a fault problem has occurred in the node of the measured link, and three types of early warning alarm signals are sent to the superior of the faulty link node. The water supply line where the faulty link is located is marked yellow throughout the line, and the superior of the faulty link node conveys the early warning information and fault location information to the system logic judgment module. The system logic judgment module analyzes and determines the cause of the fault. If the system logic judgment module and the early warning system comprehensively determine that the fault cannot be resolved remotely, that is, there is a possibility that a dangerous situation cannot be ruled out, then the water supply to the line and hub location where the faulty node is located will be immediately stopped until it is predicted that no fault will occur again or the dangerous situation that has occurred is completely eliminated. At the same time, the early warning system records and stores the number of comparison failures, the cause of the fault, and the specific fault location historical records.

[0085] Furthermore, if the link node where the comparison fails is on a water supply line marked in yellow or is a secondary fault location, all operation arrangements of the link node will be stopped immediately and the water supply will be stopped. The link node will send a second-class early warning alarm signal to the early warning system. After receiving the second-class early warning alarm signal, the early warning system will immediately mark the link node and its hub location in red and mark the entire water supply line to which the link node belongs in yellow. At the same time, the early warning system will send a fault request to the system logic judgment module, which will analyze and judge the cause of the fault at the fault location and the secondary yellow cause of the fault line and draw a conclusion. The conclusion will be uploaded to the system main station, and the main station will determine the subsequent process of the link node through comprehensive analysis.

[0086] Furthermore, if the link node where the comparison fails is a location point that has been marked red or is located on a water supply line that has been marked yellow for the second time, all operation arrangements of the link node will be stopped immediately and the water supply will be stopped. The link node will send a first-class early warning alarm signal to the early warning system. After receiving the second-class early warning alarm signal, the early warning system will immediately mark the link node and its hub location point in red and mark the entire water supply line to which the link node belongs in red. At the same time, the early warning system will send an emergency rescue warning to the system logic judgment module. The system logic judgment module will analyze and judge the cause of the fault at the fault location and the reason for the red mark of the fault line and draw a conclusion. The conclusion will be uploaded to the storage system for registration and record. The main station will complete the original water supply plan through the backup water supply line.

[0087] It should be noted that the early warning alarm signal includes a type I early warning alarm signal, a type II early warning alarm signal and a type III early warning alarm signal; the type I early warning alarm signal is the highest level early warning alarm signal, that is, an alarm signal, and the type I early warning alarm signal is a station-wide notification signal, and the signal is sent to all information receiving points in the station; the type II early warning alarm signal is a higher level early warning alarm signal, and the signal receiver is the information receiving system of the water station where the fault location is located, the information receiving system of the adjacent water station and the information receiving system of the main station; the type III early warning alarm signal is a secondary early warning alarm signal, and the signal receiver is the information receiving system of the water station where the fault location is located and the information receiving system of the main station.

[0088] Example 2

[0089] Reference Figure 2-4 , which is an embodiment of the present invention, provides a city water supply whole process monitoring and early warning analysis system. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0090] The system comprises:

[0091] The system logic judgment module is used to predict, analyze, and troubleshoot faults at the nodes where the early warning system sends signals. It obtains new operation plans through comprehensive analysis and judgment, and sends the prediction, analysis, troubleshooting results and new operation plans to the system master station and the district water station information receiving station;

[0092] The system master station is used to monitor all water supply links in real time, coordinate all plans and alarms, and notify the dispatch of all station staff;

[0093] The district water station information receiving system is used to receive information from the system master station, early warning system and system logic judgment module;

[0094] Early warning system, used to provide timely feedback and early warning of abnormal links and nodes, and to achieve timely transmission of warning signals or warning information;

[0095] The monitoring system is used to detect key data information of each link in real time, compare the collected information with the comparison program, and transmit the results to the system logic judgment module, system main station and early warning system.

[0096] The system logic judgment module includes a fault prediction module and a fault analysis module;

[0097] The system master station includes a monitoring center, a database and an information transmission module;

[0098] The early warning system includes an early warning judgment module, an early warning unit and an alarm unit;

[0099] The monitoring system includes a monitoring information unit and a sensor.

[0100] The early warning system includes:

[0101] After the sensors of the monitoring system collect the data and information required by the system, the monitoring information unit will compare the collected data and information with the preset comparison program. If the comparison result is abnormal, the monitoring information unit will transmit the comparison abnormal data, the comparison result and the location point information of the collected data to the early warning system. The early warning judgment module will judge and select the early warning unit or the alarm unit to send a signal, send it to the system main station, the system logic judgment module and the district water station information receiving system, and return it to the monitoring system.

[0102] The system master station includes:

[0103] After the system master station, the system logic judgment module and the district water station information receiving system receive the signal from the early warning or alarm unit, the system logic judgment module analyzes and comprehensively judges the received signal, and uploads the analysis and judgment results to the system master station and the district water station information receiving system. The system master station formulates and executes the next plan and operation based on the uploaded results.

[0104] by Figure 3 、 4 Take the cross-section pressure value out of range test as an example, Figure 3 The schematic diagram of the pipeline cross-section pressure is shown in Figure 1. The maximum value of the cross-section pressure exceeding the range test does not exceed 30%. In the experiment, the maximum value of the actual cross-section pressure exceeding the range exceeded 29.7% of the predetermined value. Figure 3 It can be seen that the pipeline equipment can maintain normal operation within a range of 30% beyond the predetermined value;

[0105] Figure 4 This is a schematic diagram of the pipeline cross-section pressure when the maximum value of the cross-section pressure exceeds the range test is greater than 30%. The actual cross-section pressure exceeds the maximum value of the preset value by 32.5%. Figure 4 It can be found that when the cross-sectional pressure exceeds 32.5% of the preset value, the cross-sectional pressure of the pipeline equipment drops sharply after maintaining it for 0.02 test cycles. Through on-site observation, it was found that the pipeline equipment had serious leakage. Therefore, the existing pipeline equipment can only maintain 0.02 test cycles when the cross-sectional pressure exceeds 32.5% of the preset value. After comprehensive analysis, it is determined that 30% exceeding the preset range is the key reference value for the first comparison in the comparison program.

[0106] from Figure 5 The wavelet time-frequency diagram signal performance from 0 to 300,000 s is shown in the figure: the low-frequency band of 0-0.15 Hz is basically unchanged, and its amplitude is also approximately unchanged, but in the high-frequency band of 0.15-0.25 Hz, the frequency is unstable and the amplitude is large; moving towards the high-frequency band, it tends to be stable, with less fluctuation, but the amplitude is approximately unchanged.

[0107] This invention relates to a full-process monitoring, early warning, and analysis method for urban water supply, primarily used for real-time monitoring of water supply conditions in urban water supply systems and for providing timely early warning, resolution, and resolution of impending or existing faults. This method monitors the entire urban water supply process in real time, acquiring upstream and downstream data from each stage of the supply chain. A pre-set comparison program is incorporated into the detection system to compare and record the data collected from each stage. The comparison program is then periodically updated according to a pre-set comparison cycle. The comparison results are then analyzed to determine whether the monitoring and early warning system needs to issue a warning or alarm, and subsequent actions are executed based on the results.

[0108] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0109] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiment of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal translation scripting language JavaScript, etc.

[0110] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0111] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1The steps for the function specified in one or more boxes.

[0113] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0114] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A method for monitoring and early warning analysis of the entire urban water supply process, characterized by: include, Real-time monitoring of the entire urban water supply process, obtaining upstream and downstream data of each link of water supply; A comparison program is preset in the detection system to compare and record the data collected in each link, and the comparison program is updated regularly according to the set comparison cycle; Compare and analyze the results to determine whether the monitoring and early warning system needs to issue an early warning or alarm, and perform subsequent operations based on the judgment results; The upper end data includes monitoring link, monitoring time, predicted and actual monitoring location water inflow, predicted and actual monitoring location water inflow range, monitoring location reference water inflow, monitoring location reference water inflow range, monitoring location water inflow rate, monitoring location reference water inflow rate; The lower end data includes monitoring link, monitoring time, predicted and actual monitoring location water output, predicted and actual monitoring location water output range, monitoring location reference water output, monitoring location reference water output range, monitoring location water output rate, monitoring location reference water output rate; The comparison procedure includes setting upper and lower reference range data standards for each link of the water supply according to the urban water supply standard, comparing the actual data of each link with the reference range data standards one by one, recording the number of times the comparison failed, the links that exceeded the range, and the amount of data that exceeded the range, and marking the entire water supply line that failed the comparison as yellow. The comparison program also includes the introduction of neural network technology, using historical data as a training set for model training to obtain more accurate water inlet and outlet prediction results. In terms of signal processing, wavelet analysis technology is introduced to perform multi-scale decomposition and reconstruction on the collected data to extract representative characteristic signals and remove noise interference, thereby improving the accuracy and stability of the comparison program. The comparison failure includes that two or more data at the upper and lower ends of each link exceed the reference range, which is considered a comparison failure. During the comparison process, the first comparison failure result of the data volume that does not exceed 30% of the reference range in non-critical node links will be ignored and only recorded and monitored in real time, but no analysis and warning judgment will be made; The non-critical nodes refer to non-maximum pressure nodes, non-initial or terminal ends of water supply links, non-urgent pipelines, non-bend pipelines, and non-hub nodes; If the comparison failure problem occurs not for the first time during the comparison process, the cause of the failure needs to be analyzed and determined, and a diagnostic plan needs to be proposed. When a comparison failure occurs not for the first time in each link and the number of comparison failures is four or more, it is deemed that a fault problem occurs in the node of the measured link, and three types of early warning alarm signals are sent to the superior of the faulty link node. The water supply line where the faulty link is located is marked yellow throughout the line, and the superior of the faulty link node conveys the early warning information and fault location information to the system logic judgment module. The system logic judgment module analyzes and determines the cause of the fault. If the system logic judgment module and the early warning system comprehensively determine that the fault cannot be resolved remotely, that is, there is a possibility that a dangerous situation cannot be ruled out, then the water supply to the line and hub location where the faulty node is located will be immediately stopped until it is predicted that the fault will no longer occur or the dangerous situation that has occurred is completely eliminated. At the same time, the early warning system records and stores the number of comparison failures, the cause of the fault, and the specific fault location historical records; If the link node where the comparison fails is on the water supply line marked in yellow or is at a secondary fault location, all operation arrangements of the link node will be stopped immediately and the water supply will be stopped. The link node will send a second-class early warning alarm signal to the early warning system. After receiving the second-class early warning alarm signal, the early warning system will immediately mark the link node and its hub position point in red and mark the entire water supply line to which the link node belongs in yellow. At the same time, the early warning system will send a fault request to the system logic judgment module, which will analyze and judge the cause of the fault at the fault location and the secondary yellow cause of the fault line and draw a conclusion. The conclusion will be uploaded to the system main station, and the system main station will determine the subsequent process of the link node through comprehensive analysis and judgment. If the link node where the comparison fails is a location point that has been marked red or is located on a water supply line marked yellow for the second time, all operation arrangements of the link node will be stopped immediately and the water supply will be stopped. The link node will send a type of early warning alarm signal to the early warning system. After receiving the type of early warning alarm signal, the early warning system will immediately mark the link node and its hub location point in red and mark the entire water supply line to which the link node belongs in red. At the same time, the early warning system will send an emergency rescue warning to the system logic judgment module. The system logic judgment module will analyze and judge the cause of the fault at the fault location and the reason for the red mark of the fault line and draw a conclusion. The conclusion will be uploaded to the storage system for registration and record. The system master station will complete the original water supply plan through the backup water supply line.

2. A method for monitoring and early warning analysis of the entire urban water supply process according to claim 1, characterized in that: The pre-warning alarm signals include a first-class pre-warning alarm signal, a second-class pre-warning alarm signal and a third-class pre-warning alarm signal; The first-class early warning alarm signal is the highest-level early warning alarm signal, that is, an alarm signal. The first-class early warning alarm signal is a station-wide notification signal, which is sent to all information receiving points in the station; The second-class early warning alarm signal is a higher-level early warning alarm signal, and the signal receivers are the water station information receiving system where the fault location is located, the adjacent water station information receiving system, and the system master station information receiving system; The three types of early warning alarm signals are secondary early warning alarm signals, and the signal receivers are the water station information receiving system where the fault location point is located and the system master station information receiving system.

3. A city water supply full process monitoring, early warning and analysis system, using a city water supply full process monitoring, early warning and analysis method according to any one of claims 1 to 2, characterized in that: include: The system logic judgment module is used to predict, analyze, and troubleshoot faults at the nodes where the early warning system sends signals. It obtains new operation plans through comprehensive analysis and judgment, and sends the prediction, analysis, troubleshooting results and new operation plans to the system master station and the district water station information receiving station; The system master station is used to monitor all water supply links in real time, coordinate all plans and alarms, and notify the dispatch of all station staff; The district water station information receiving system is used to receive information from the system master station, early warning system and system logic judgment module; Early warning system, used to provide timely feedback and early warning of abnormal links and nodes, and to achieve timely transmission of warning signals or warning information; The monitoring system is used to detect key data information of each link in real time, compare the collected information with the comparison program, and transmit the results to the system logic judgment module, system main station and early warning system.

4. The urban water supply whole process monitoring and early warning analysis system according to claim 3, characterized in that: The system logic judgment module includes a fault prediction module and a fault analysis module; The system master station includes a monitoring center, a database and an information transmission module; The early warning system includes an early warning judgment module, an early warning unit and an alarm unit; The monitoring system includes a monitoring information unit and a sensor.

5. The urban water supply whole process monitoring and early warning analysis system according to claim 4, characterized in that: The early warning system includes that after the sensors of the monitoring system collect the data information required by the monitoring system, the monitoring information unit compares the collected data information with the preset comparison program. If the comparison result is abnormal, the monitoring information unit transmits the comparison abnormal data, the comparison result and the location point information of the collected data to the early warning system. The early warning judgment module judges and selects the early warning unit or the alarm unit to send a signal, which is sent to the system main station, the system logic judgment module and the district water station information receiving system, and then returned to the monitoring system.

6. The urban water supply whole process monitoring and early warning analysis system according to claim 5, characterized in that: The system master station includes a system master station, a system logic judgment module, and a district water station information receiving system. After receiving the signal sent by the early warning or alarm unit, the system logic judgment module analyzes and comprehensively judges the received signal, and uploads the analysis and judgment results to the system master station and the district water station information receiving system. The system master station formulates and executes the next plan and operation based on the uploaded results.

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