A method and system for intelligent monitoring of water conservancy projects combined with 5G communication technology

Abstract

The present invention discloses a method for intelligent monitoring of water conservancy projects in combination with 5G communication technology, which relates to the field of intelligent communication technology, including reading the basic monitoring demand characteristics of users, optimizing the distribution of monitoring points, and constructing N characteristic monitoring points; configuring 5G communication base stations, and executing the base station layout of 5G communication base stations according to the location data of N characteristic monitoring points; performing signal interaction verification through the signal interaction of the 5G communication base station corresponding to the characteristic monitoring point, and generating communication quality verification results; performing collaborative signal collection through the communication quality verification results and communication collaboration, performing signal enhancement processing, and generating key data sets of water conservancy projects; obtaining environmental data sets, inputting environmental data sets and key data sets into the adaptation analysis network to perform abnormal analysis, and generating abnormal warnings. The present invention can detect abnormal situations in real time and issue early warnings in a timely manner, thereby improving the efficiency and accuracy of monitoring and ensuring the safe operation of water conservancy projects.

Description

Technical Field

[0001] The present invention relates to the field of intelligent communication technology, and in particular to an intelligent monitoring method and system for water conservancy projects combined with 5G communication technology. Background Art

[0002] Smart water conservancy is the process of using information and intelligent technologies to improve the management and service capabilities of the water conservancy industry and promote the development of traditional water conservancy to modern water conservancy. In this process, the progress and development of 5G communication technology has made it possible to transmit data quickly, with low energy consumption and low latency.

[0003] Traditional wired or wireless communication technologies have limitations in data transmission speed and reliability, resulting in low efficiency of real-time monitoring data transmission, affecting the timeliness and accuracy of monitoring. The selection of monitoring points may be based on experience rather than scientific methods, resulting in a less-optimized monitoring network and failure to fully cover all key areas, affecting the comprehensiveness and representativeness of monitoring data. In remote or complex terrain areas, communication signals may be unstable, resulting in data loss or errors, affecting the reliability of the monitoring system. Traditional systems may lack effective data processing and analysis capabilities, and are unable to extract useful information from large amounts of monitoring data and generate timely abnormal warnings. Summary of the invention

[0004] In view of the fact that the monitoring points in the prior art cannot fully and accurately cover the key areas, resulting in the omission of important information or inaccurate monitoring data, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is how to detect abnormal situations in real time and issue early warnings in a timely manner.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In the first aspect, an embodiment of the present invention provides an intelligent monitoring method for water conservancy projects in combination with 5G communication technology, which includes obtaining basic information of water conservancy project facilities, and constructing a facility feature library based on the basic information; reading the basic monitoring demand characteristics of the user, optimizing the distribution of monitoring points through the basic monitoring demand characteristics and the facility feature library, and constructing N feature monitoring points; configuring a 5G communication base station, and executing base station deployment of the 5G communication base station according to the location data of the N feature monitoring points, establishing a communication association between the 5G communication base station and the N feature monitoring points, and configuring communication coordination between the 5G communication base stations; performing signal interaction verification through signal interaction of the 5G communication base station corresponding to the feature monitoring point, and generating a communication quality verification result; performing collaborative signal acquisition through the communication quality verification result and communication coordination, and performing signal enhancement processing based on the collaborative signal acquisition result and the communication quality verification result to generate a key data set for the water conservancy project; obtaining an environmental data set, and inputting the environmental data set and the key data set into the adaptation analysis network to perform anomaly analysis and generate anomaly warning.

[0008] As a preferred solution of the intelligent monitoring method for water conservancy projects combined with 5G communication technology described in the present invention, wherein: the environmental data set and the key data set are input into the adaptation analysis network to perform anomaly analysis, and the generation of anomaly warnings includes the following steps: constructing a three-dimensional simulation fitting model based on the facility feature library, performing water level and flow fitting analysis of water conservancy project facilities through the three-dimensional simulation fitting model and the facility database, and constructing an anomaly identification subnetwork; establishing an environmental impact prediction subnetwork, the environmental impact prediction subnetwork predicts water level and flow change data according to environmental characteristics, and the anomaly identification subnetwork and the environmental impact prediction subnetwork are both sub-processing layers of the adaptation analysis network; establishing upstream and downstream position associations of water level and flow based on the three-dimensional simulation fitting model, and based on the upstream and downstream position associations Construct an upstream and downstream adaptation sub-network, which is a sub-processing layer of the adaptation analysis network; after the environmental data set and the key data set are input into the adaptation analysis network, perform an anomaly analysis on the key data set based on the anomaly recognition sub-network to generate a first anomaly recognition result; perform an impact prediction analysis on the environmental data set based on the environmental impact prediction sub-network to generate prediction feedback data; input the prediction feedback data into the anomaly recognition sub-network, perform a secondary anomaly analysis, and generate a second anomaly recognition result; perform an upstream and downstream adaptation analysis on the key data set based on the upstream and downstream adaptation sub-network to generate a third anomaly recognition result; complete the anomaly analysis process based on the first anomaly recognition result, the second anomaly recognition result, and the third anomaly recognition result, and generate anomaly warning information.

[0009] As a preferred solution of the intelligent monitoring method for water conservancy projects combined with 5G communication technology described in the present invention, wherein: the distribution of monitoring points is optimized through basic monitoring demand characteristics and facility feature library, and the construction of N characteristic monitoring points includes the following steps: feature evaluation of the facility feature library, identifying and constructing taboo areas of monitoring points; feature analysis of the basic monitoring demand characteristics and the facility feature library, and generating an estimated total number of monitoring points required; using the estimated total number of monitoring points as the initial number of monitoring point centers, and distributing the initial monitoring point centers in non-taboo areas excluding the taboo areas of monitoring points; using the basic monitoring demand characteristics and the facility feature library as constraints, performing location optimization and quantity optimization on the initial monitoring point centers, and constructing N characteristic monitoring points.

[0010] As a preferred solution of the intelligent monitoring method for water conservancy projects combined with 5G communication technology described in the present invention, the method comprises the following steps: performing position optimization and quantity optimization on the initial center points: performing initial area segmentation on the non-taboo area, and constructing a segmentation result that matches the number of initial monitoring point centers; based on the segmentation result, mapping and distributing the initial monitoring point centers in the initial area; taking the facility feature library and basic monitoring requirements as constraints, performing adaptation analysis on the position of the initial monitoring point center; adjusting the position of the initial monitoring point center according to the adaptation analysis results and the same-direction movement constraints, and adding a new monitoring point center in the uncovered area; performing control iteration of the movement adjustment and the newly added center points to obtain the monitoring point center distribution result with maximum fitness; and constructing N characteristic monitoring points with the monitoring point center distribution result with maximum fitness.

[0011] As a preferred solution of the intelligent monitoring method for water conservancy projects combined with 5G communication technology described in the present invention, wherein: collaborative signal collection through communication quality verification results and communication collaboration includes the following steps: based on the communication quality verification results, determine whether the preset communication quality threshold is met; when the communication quality verification results meet the preset communication quality threshold, directly construct a key data set based on the communication quality verification results; when the communication quality verification results do not meet the preset communication quality threshold, match the number of base stations that need to perform communication collaboration according to the quality value in the communication quality verification results; according to the number of matched base stations, select the base stations participating in the collaborative signal collection in order of collaboration strength from high to low; based on the selected base stations participating in the collaborative signal collection, complete the collaborative signal collection process; perform signal enhancement processing on the collaborative signal collection results and the communication quality verification results to generate a key data set.

[0012] As a preferred solution of the intelligent monitoring method for water conservancy projects combined with 5G communication technology described in the present invention, generating an abnormal warning also includes matching the abnormal warning with a preset warning level library, and different warning levels correspond to different warning release time constraints; calling the warning release time constraint corresponding to the abnormal warning, and performing response analysis on the abnormal warning; updating the abnormal warning according to the response analysis results.

[0013] As a preferred solution of the intelligent monitoring method for water conservancy projects combined with 5G communication technology described in the present invention, the key features of the key data sets include water level characteristics, flow characteristics, and water quality characteristics.

[0014] In the second aspect, an embodiment of the present invention provides an intelligent monitoring system for water conservancy projects combined with 5G communication technology, which includes a feature library construction module for acquiring basic information of water conservancy project facilities and constructing a facility feature library based on the basic information; a monitoring point construction module for reading the basic monitoring demand characteristics of users, optimizing the distribution of monitoring points through the basic monitoring demand characteristics and the facility feature library, and constructing N feature monitoring points; a communication coordination module for configuring 5G communication base stations, and executing base station deployment of 5G communication base stations according to the location data of N feature monitoring points, establishing communication associations between 5G communication base stations and N feature monitoring points, and configuring communication coordination between 5G communication base stations; a signal interaction module for performing signal interaction verification through signal interaction of the 5G communication base stations corresponding to the feature monitoring points, and generating communication quality verification results; a data set construction module for performing collaborative signal acquisition through communication quality verification results and communication coordination, and performing signal enhancement processing according to the collaborative signal acquisition results and communication quality verification results, to generate a key data set for water conservancy projects; an abnormal warning module for obtaining an environmental data set, inputting the environmental data set and the key data set into the adaptation analysis network to perform abnormal analysis, and generate an abnormal warning.

[0015] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the intelligent monitoring method for water conservancy projects combined with 5G communication technology as described in the first aspect of the present invention are implemented.

[0016] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, the steps of the intelligent monitoring method for water conservancy projects combined with 5G communication technology as described in the first aspect of the present invention are implemented.

[0017] The beneficial effects of the present invention are as follows: the present invention improves the efficiency and accuracy of monitoring and ensures the safe operation of water conservancy projects; by constructing a facility feature library and optimizing the distribution of monitoring points based on the basic monitoring demand characteristics of users, a more intelligent monitoring point selection is achieved, which can not only ensure that key areas are effectively monitored, but also improve the efficiency and accuracy of monitoring; configuring 5G communication base stations and establishing communication associations with characteristic monitoring points significantly improves the speed and stability of data transmission, and the high bandwidth and low latency characteristics of 5G technology make the transmission of real-time monitoring data faster and more reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A flow chart of a water conservancy project intelligent monitoring method combined with 5G communication technology;

[0020] Figure 2 A schematic diagram of the abnormal analysis process of the intelligent monitoring method for water conservancy projects combined with 5G communication technology;

[0021] Figure 3 Computer equipment diagram of the intelligent monitoring method for water conservancy projects combined with 5G communication technology. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and 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.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0025] Example 1

[0026] Reference Figure 1 to Figure 3, which is the first embodiment of the present invention, and provides a method for intelligent monitoring of water conservancy projects in combination with 5G communication technology, including:

[0027] S1: Obtain the basic information of water conservancy project facilities and build a facility feature library based on the basic information.

[0028] It should be noted that the basic information of water conservancy project facilities includes facility type, geographical location, design parameters, operating status, historical maintenance records, etc. The facility feature library is a database that centrally stores and manages these facility feature information. During the construction process, it is necessary to extract the key features of the facility, such as geometric dimensions, material type, design bearing capacity, operating environment parameters (temperature, humidity, water quality, etc.) and historical maintenance records, and select a suitable relational database management system (such as MySQL or PostgreSQL) to create a facility feature library, and import the extracted feature information into the database. And the framework flow chart of the present invention is as follows Figure 1 shown.

[0029] S2: Read the basic monitoring demand characteristics of the user, optimize the distribution of monitoring points through the basic monitoring demand characteristics and facility feature library, and construct N characteristic monitoring points (N is an integer greater than 1).

[0030] Specifically, the user's needs are converted into specific monitoring demand characteristics, such as water flow dynamics, facility structural weaknesses, historical fault points, environmentally sensitive areas, and user-specific monitoring priorities; the facility feature library is evaluated to identify and construct monitoring point taboo areas; the basic monitoring demand characteristics and the facility feature library are analyzed to generate an estimated total number of monitoring points required; the estimated total number of monitoring points is used as the initial number of monitoring point centers, and the initial monitoring point centers are distributed in non-taboo areas excluding monitoring point taboo areas; the basic monitoring demand characteristics and the facility feature library are used as constraints to perform location optimization and quantity optimization on the initial monitoring point centers to construct N characteristic monitoring points.

[0031] Preferably, according to the characteristics of the non-taboo area, an initial area segmentation is performed on the non-taboo area to construct a segmentation result that matches the number of initial monitoring point centers; based on the segmentation result, the initial monitoring point centers are mapped and distributed in the initial area; using the facility feature library and basic monitoring requirements as constraints, an adaptation analysis is performed on the position of the initial monitoring point center; based on the adaptation analysis results and the same-direction movement constraints, the position of the initial monitoring point center is moved and adjusted, and a new monitoring point center is added in the uncovered area; in the non-taboo area, control iterations of movement adjustment and newly added center points are performed to obtain the monitoring point center distribution result with maximum fitness; N characteristic monitoring points are constructed with the monitoring point center distribution result with maximum fitness.

[0032] It should be noted that the features in the facility feature library are evaluated to identify areas that may have an adverse impact on monitoring or pose safety risks, such as areas with turbulent water flow, complex terrain, and easily damaged equipment. Based on the results of the feature evaluation, these unfavorable or risky areas are marked as taboo areas, that is, areas that need to be avoided when arranging monitoring points. Combined with the facility characteristics, the layout, structure, and operation characteristics of the water conservancy project facilities are analyzed. Taking into account the monitoring demand characteristics and facility characteristics, the number of monitoring points required to meet the monitoring needs is estimated. Based on the estimated number of monitoring points, the corresponding number of initial center points are matched, and the basic monitoring demand characteristics and the facility feature library are used as constraints to ensure that the layout of the monitoring points meets both the monitoring needs and the actual conditions of the facilities. In the non-taboo area, the position and number of the initial center points are optimized through optimization algorithms such as genetic algorithms and particle swarm optimization algorithms to find the best monitoring point layout plan. According to the optimization results, N feature monitoring points are constructed in the non-taboo area.

[0033] S3: Configure 5G communication base stations, and execute base station deployment of 5G communication base stations according to the location data of N characteristic monitoring points, establish communication associations between 5G communication base stations and N characteristic monitoring points, and configure communication coordination between 5G communication base stations.

[0034] Specifically, according to the geographical environment and monitoring needs of the water conservancy project, the location of the 5G communication base station is planned, including signal coverage, topography, power supply and transmission resources; 5G communication base station equipment (such as base station transceiver, antenna, power supply system, etc.) is installed at the planned location, and various working parameters of the base station equipment (such as frequency, power, channel, etc.) are configured so that it can connect to the core network for normal operation; the location data of N points that need to be monitored for characteristics are collected; based on the location data of these N monitoring points, the optimization algorithm is used to determine the best layout plan and location of the 5G base station; according to the optimization results, the 5G base station is deployed on-site at the selected optimal location, and appropriate communication equipment and network communication parameters are configured for the N characteristic monitoring points so that they can establish a stable communication link with the corresponding 5G base station; the communication link between each monitoring point and the base station is tested and verified to ensure the quality of data transmission; a network connection is established between the deployed 5G base stations, a communication coordination strategy is implemented in the 5G base station network, debugging and optimization are performed, and a communication association between the 5G base station and the N characteristic monitoring points is established.

[0035] S4: Through the signal interaction of the 5G communication base station corresponding to the characteristic monitoring point, the signal interaction verification is performed to generate the communication quality verification result.

[0036] Specifically, the 5G base station establishes a wireless connection with each characteristic monitoring point to carry out two-way monitoring data transmission; during the data transmission process, the integrity and time consistency of the uplink (monitoring point to base station) and downlink (base station to monitoring point) data are verified. The verification method includes adding a unique serial number to each data packet and adding a timestamp to each data packet; based on the interactive verification results of the uplink and downlink data, the communication quality verification results are generated, mainly including signal strength, transmission delay, data packet loss rate, bit error rate, throughput rate, signal-to-noise ratio, etc.; the communication quality verification results reflect the overall quality and reliability of the wireless link between the base station and the monitoring point, and are an important basis for subsequent judgment on whether communication coordination is needed and construction of key data sets.

[0037] S5: Perform collaborative signal acquisition based on the communication quality verification results and communication collaboration, perform signal enhancement processing based on the collaborative signal acquisition results and communication quality verification results, and generate a key data set for the water conservancy project.

[0038] Specifically, based on the communication quality verification result, determine whether the preset communication quality threshold is met; when the communication quality verification result meets the preset communication quality threshold, directly construct a key data set based on the communication quality verification result; when the communication quality verification result does not meet the preset communication quality threshold, match the number of base stations that need to perform communication coordination according to the quality value in the communication quality verification result; based on the number of matched base stations, screen out the base stations participating in the coordinated signal acquisition in order of coordination strength from high to low; based on the screened base stations participating in the coordinated signal acquisition, complete the coordinated signal acquisition process; perform signal enhancement processing on the coordinated signal acquisition result and the communication quality verification result to generate a key data set.

[0039] It should be noted that the key features of the key data sets include water level characteristics, flow characteristics, and water quality characteristics.

[0040] S6: Obtain the environmental data set, input the environmental data set and the key data set into the adaptation analysis network to perform anomaly analysis, and generate anomaly warning.

[0041] Specifically, environmental data such as temperature, humidity, wind speed, air pressure, rainfall, etc. are collected through environmental monitoring stations or sensors deployed around water conservancy projects to construct an environmental data set, and the environmental data set is cleaned, denoised and standardized. The processed environmental data set is merged with the key data set, including water level characteristics, flow characteristics, water quality characteristics, etc., to form a comprehensive data set. According to the characteristics and monitoring needs of water conservancy projects, an adaptation analysis network is constructed based on machine learning or deep learning models (such as neural networks, support vector machines, etc.); the adaptation analysis network is trained using historical data sets so that it can learn the relationship and pattern between environmental data and key data under normal conditions.

[0042] Furthermore, a three-dimensional modeling software is used to construct a three-dimensional simulation fitting model based on the facility feature library, and the water level and flow parameter fitting analysis of the water conservancy project facilities is carried out through the three-dimensional simulation fitting model and the facility database; based on the fitting analysis results, an anomaly identification subnetwork is designed to identify water level data and flow data that do not conform to the normal pattern, and mark them as abnormal; key environmental features are extracted from the environmental data set, and an environmental impact prediction subnetwork is established using machine learning or deep learning technology to predict water level and flow change data based on environmental characteristics; upstream and downstream position associations of water level and flow are established based on the three-dimensional simulation fitting model, and upstream and downstream adaptation subnetworks are constructed based on the upstream and downstream position associations.

[0043] Furthermore, Figure 2 The figure is a schematic diagram of the abnormal analysis process. After the environmental data set and the key data set are input into the adaptation analysis network, the key data set is analyzed for abnormality based on the abnormal identification sub-network, and the data that does not conform to the normal mode is detected to generate the first abnormal identification result; the environmental data set is analyzed for impact prediction based on the environmental impact prediction sub-network to generate prediction feedback data, which reflects the possible impact of environmental characteristics on water level flow; the prediction feedback data is input into the abnormal identification sub-network, and a secondary abnormal analysis is performed in combination with the prediction feedback data to generate the second abnormal identification result; the key data set is analyzed for upstream and downstream adaptation based on the upstream and downstream adaptation sub-network to generate the third abnormal identification result; the abnormal analysis process is completed according to the first abnormal identification result, the second abnormal identification result and the third abnormal identification result, and the abnormal warning information is generated; the abnormal warning information is matched with the preset warning level library, and different warning levels correspond to different warning release time constraints; the warning release time constraints corresponding to the abnormal warning are called to perform response analysis on the abnormal warning; the abnormal warning is updated according to the response analysis results.

[0044] Specifically, based on the three-dimensional simulation fitting model, the transmission and change relationship between the water level and flow in the upstream and downstream of the water conservancy project is analyzed. Through model analysis, it is clear how the changes in the upstream water level and flow affect the downstream, and how the changes in the downstream are fed back to the upstream, so as to establish the positional association between the upstream and downstream. According to the upstream and downstream positional association, an adaptation algorithm is constructed, which can capture and analyze the dynamic relationship between the upstream and downstream water level and flow. The adaptation algorithm is integrated into the adaptation analysis network to form a special upstream and downstream adaptation sub-network. This sub-network will be responsible for processing the water level and flow adaptation analysis between the upstream and downstream, and input the environmental data set and the key data set into the adaptation analysis network. The upstream and downstream adaptation sub-network performs upstream and downstream adaptation analysis on the key data set, and detects the mismatch or abnormal fluctuation of the upstream and downstream water level and flow. Based on the results of the adaptation analysis, if the relationship between the upstream and downstream water level and flow is abnormal, such as the upstream water level rises but the downstream water level does not change accordingly, or the flow fluctuates unreasonably, a third identification anomaly is generated. The first identified anomaly (i.e. generated based on the anomaly identification subnetwork), the second identified anomaly (i.e. generated based on the environmental impact prediction subnetwork) and the third identified anomaly (i.e. generated based on the upstream and downstream adaptation analysis) are comprehensively analyzed. If the comprehensive analysis results show that there are one or more anomalies, an anomaly warning is generated. This warning will contain information such as the type of anomaly, severity, and possible impact range, so that relevant personnel can respond in a timely manner.

[0045] Furthermore, the abnormal warning is matched with the preset warning level library, and different warning levels correspond to different warning release time constraints; the warning release time constraints corresponding to the abnormal warning are called, and response analysis is performed on the abnormal warning; the abnormal warning is updated according to the response analysis results.

[0046] Specifically, when an anomaly is detected, the warning level corresponding to the anomaly is determined according to the preset rules or algorithms. The warning level is divided into multiple levels, such as low, medium, high or emergency, and each level corresponds to different severity and response requirements. Each warning level is mapped to a preset release time constraint. This time constraint specifies the maximum allowed time from the discovery of the anomaly to the resolution of the anomaly under the warning level. For example, a low-level warning may be allowed to be resolved within a few hours, while an emergency warning may require a response within a few minutes. Once the warning level is determined, the release time constraint corresponding to the level is automatically called. According to the called release time constraint, a response analysis is performed to evaluate whether the current resources and measures can effectively resolve the anomaly within the specified time. This includes analyzing the available technicians, equipment, spare parts, etc., and considering external factors such as traffic and weather.

[0047] It should be noted that the anomaly identification subnetwork, environmental impact prediction subnetwork, and upstream and downstream adaptation subnetwork are all sub-processing layers of the adaptation analysis network.

[0048] Furthermore, the present embodiment also provides an intelligent monitoring system for water conservancy projects in combination with 5G communication technology, including a feature library construction module for acquiring basic information of water conservancy project facilities and constructing a facility feature library based on the basic information; a monitoring point construction module for reading the basic monitoring demand characteristics of users, optimizing the distribution of monitoring points through the basic monitoring demand characteristics and the facility feature library, and constructing N feature monitoring points; a communication coordination module for configuring 5G communication base stations, and performing base station deployment of 5G communication base stations according to the location data of N feature monitoring points, establishing communication associations between 5G communication base stations and N feature monitoring points, and configuring communication coordination between 5G communication base stations; a signal interaction module for performing signal interaction verification and generating communication quality verification results through signal interaction of 5G communication base stations corresponding to feature monitoring points; a data set construction module for performing collaborative signal acquisition through communication quality verification results and communication coordination, and performing signal enhancement processing according to the collaborative signal acquisition results and communication quality verification results to generate key data sets for water conservancy projects; an abnormal warning module for obtaining an environmental data set, inputting the environmental data set and the key data set into the adaptation analysis network to perform abnormal analysis, and generate an abnormal warning.

[0049] This embodiment also provides a computer device, which is suitable for the case of an intelligent monitoring method for water conservancy projects combined with 5G communication technology, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the intelligent monitoring method for water conservancy projects combined with 5G communication technology as proposed in the above embodiment.

[0050] like Figure 3 As shown, the computer device can be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, a trackball or a touch pad set on the computer device housing, or an external keyboard, touch pad or mouse, etc.

[0051] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for intelligent monitoring of water conservancy projects combined with 5G communication technology as proposed in the above embodiment is implemented.

[0052] In summary, the present invention effectively solves the technical problem in the prior art that the monitoring points cannot fully and accurately cover the key areas, resulting in the omission of important information or inaccurate monitoring data, which further affects the real-time and accuracy of water conservancy project monitoring. It can detect abnormal situations in real time and issue early warnings in time, thereby improving the efficiency and accuracy of monitoring and ensuring the safe operation of water conservancy projects.

[0053] Example 2

[0054] Reference Figure 1 to Figure 3 , which is the second embodiment of the present invention, provides an intelligent monitoring method for water conservancy projects combined with 5G communication technology. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0055] This technical solution was applied to a large-scale reservoir project for intelligent monitoring and early warning. First, by collecting basic information on facilities such as reservoir dams, spillways, and power plant buildings, a facility feature library containing more than 3,000 records was constructed. Based on user needs and facility characteristics, the system identified 145 potential monitoring points, and 92 characteristic monitoring points were determined after screening by the optimization algorithm.

[0056] Next, in order to ensure the efficient transmission of monitoring data, 8 5G base stations were deployed to cover the entire reservoir area. Through signal interaction verification, it was found that the communication quality of 3 monitoring points did not meet the standards, and the system automatically started base station collaborative collection. After signal enhancement processing, the average signal-to-noise ratio of all monitoring points increased by 4.2dB, and the data transmission success rate reached 99.97%.

[0057] Furthermore, in order to comprehensively evaluate the system performance, the system continuously collected key data and environmental data for 3 months. Among them, the key data include hourly water level (accuracy ±1cm), flow (accuracy ±0.5m3 / s) and 10 water quality indicators. At the same time, environmental data include 7 parameters such as temperature, rainfall, wind speed, etc. These data are input into the pre-trained adaptation analysis network for in-depth analysis.

[0058] During a rainstorm, the system detected that the upstream water level rose sharply by 1.2 meters in 2 hours, while the downstream water level only rose by 0.3 meters. Faced with this abnormal situation, the anomaly identification sub-network immediately issued a warning signal. The environmental impact prediction sub-network believed that this water level change was within the normal range based on the rainfall forecast, but the upstream and downstream adaptation sub-network found that this water level difference significantly exceeded the historical pattern.

[0059] After comprehensively weighing the analysis results of the three sub-networks, the system finally generated an intermediate warning and set the warning release time limit to 6 hours. Based on this warning, the management staff quickly carried out a detailed on-site inspection and finally found signs of a small-scale landslide on a mountain upstream. Based on this discovery, the relevant personnel took necessary reinforcement measures in a timely manner, effectively preventing potential dangers.

[0060] During the one-year trial operation, the system issued 87 warnings, 79 of which were confirmed to be effective, with an accuracy rate of 90.8%. The system detected potential risks 2.5 hours in advance on average, buying valuable response time for managers. Especially during the flood season, the system's real-time monitoring and early warning capabilities significantly improved the safety management level of the reservoir.

[0061] Preferably, the comparison indicators of the present invention and the traditional method are shown in Table 1.

[0062] Table 1 Comparison index table of the present invention and the traditional method

[0063] index The present invention Traditional methods Monitoring point coverage 95％ 60％ Data transmission success rate 99.97％ 90％ Average signal-to-noise ratio 19.2dB 15dB Abnormal warning lead time 2.5 hours 0.5 hours Early warning accuracy 90.8％ 70％ Monitoring data collection frequency Once every hour Every 6 hours Average number of false alarms per year 8 times 28 times

[0064] Specifically, Table 1 clearly shows the significant improvements of the present invention over the traditional methods in multiple key indicators. In particular, the present invention has shown obvious advantages in terms of monitoring coverage, data transmission quality, abnormal early warning capability and measurement accuracy. These improvements not only improve the monitoring efficiency and accuracy of water conservancy projects, but also greatly enhance the reliability and practicality of the early warning system, providing more powerful technical support for the safety management of water conservancy projects.

[0065] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. 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.

Claims

1. A method for intelligent monitoring of water conservancy projects in combination with 5G communication technology, characterized in that: include, Obtain basic information of water conservancy project facilities and build a facility feature database based on the basic information; Read the user's basic monitoring demand characteristics, optimize the distribution of monitoring points through the basic monitoring demand characteristics and facility feature library, and build N characteristic monitoring points; Configure 5G communication base stations, and perform base station deployment of 5G communication base stations according to the location data of N characteristic monitoring points, establish communication associations between the 5G communication base stations and the N characteristic monitoring points, and configure communication coordination between the 5G communication base stations; Through the signal interaction of the 5G communication base station corresponding to the characteristic monitoring point, the signal interaction verification is performed to generate the communication quality verification result; Through the communication quality verification results and communication collaboration, collaborative signal collection is carried out, and signal enhancement processing is performed based on the collaborative signal collection results and communication quality verification results to generate key data sets for water conservancy projects; Obtain the environmental data set, input the environmental data set and key data set into the adaptation analysis network to perform anomaly analysis and generate anomaly warning.

2. The intelligent monitoring method for water conservancy projects in combination with 5G communication technology as claimed in claim 1, characterized in that: The step of inputting the environment data set and the key data set into the adaptation analysis network to perform anomaly analysis and generate anomaly warnings includes the following steps: A three-dimensional simulation fitting model is constructed based on the facility feature library. The water level and flow fitting analysis of the water conservancy project facilities is carried out through the three-dimensional simulation fitting model and the facility database, and an abnormal identification sub-network is constructed. Establishing an environmental impact prediction subnetwork, wherein the environmental impact prediction subnetwork predicts water level and flow change data according to environmental characteristics, wherein both the anomaly recognition subnetwork and the environmental impact prediction subnetwork are sub-processing layers of the adaptation analysis network; Establishing upstream and downstream position association of water level flow based on the three-dimensional simulation fitting model, and constructing upstream and downstream adaptation sub-network based on the upstream and downstream position association, wherein the upstream and downstream adaptation sub-network is a sub-processing layer of the adaptation analysis network; When the environmental data set and key data set are input into the adaptation analysis network, Performing anomaly analysis on the key data set based on the anomaly identification sub-network to generate a first anomaly identification result; Based on the environmental impact prediction sub-network, the environmental data set is subjected to impact prediction analysis to generate prediction feedback data; Input the predicted feedback data into the anomaly recognition sub-network, perform secondary anomaly analysis, and generate a second anomaly recognition result; Performing upstream and downstream adaptation analysis on the key data set based on the upstream and downstream adaptation sub-network to generate a third abnormal identification result; According to the first abnormality identification result, the second abnormality identification result and the third abnormality identification result, the abnormality analysis process is completed and abnormality warning information is generated.

3. The intelligent monitoring method for water conservancy projects in combination with 5G communication technology as claimed in claim 1, characterized in that: The optimization of the distribution of monitoring points by using the basic monitoring demand characteristics and the facility feature library to construct N characteristic monitoring points includes the following steps: Conduct feature evaluation on the facility feature library, identify and construct taboo areas for monitoring points; Conduct feature analysis on the basic monitoring demand characteristics and facility feature database to generate an estimate of the total number of monitoring points required; The estimated total number of monitoring points is used as the number of initial monitoring point centers, and the initial monitoring point centers are distributed in the non-taboo area excluding the monitoring point taboo area; Taking the basic monitoring demand characteristics and facility feature library as constraints, the location optimization and quantity optimization are performed on the initial monitoring point center to construct N characteristic monitoring points.

4. The intelligent monitoring method for water conservancy projects in combination with 5G communication technology as claimed in claim 3, characterized in that: The performing of position optimization and quantity optimization on the initial monitoring point center comprises the following steps: Perform initial region segmentation on the non-taboo area and construct a segmentation result that matches the number of initial monitoring point centers; Based on the segmentation results, the centers of the initial monitoring points are mapped and distributed in the initial area; Taking the facility feature library and basic monitoring requirements as constraints, performing adaptation analysis on the location of the center of the initial monitoring point; According to the adaptation analysis results and the same-direction movement constraints, the position of the initial monitoring point center is moved and adjusted, and the center of the monitoring point is added in the uncovered area; Execute the control iteration of moving adjustment and adding center points to obtain the center distribution result of the monitoring point with maximum fitness; Based on the center distribution results of the monitoring points with maximum fitness, N characteristic monitoring points are constructed.

5. The intelligent monitoring method for water conservancy projects in combination with 5G communication technology as claimed in claim 1, characterized in that: The collaborative signal acquisition through communication quality verification results and communication collaboration includes the following steps: Based on the communication quality verification result, determining whether a preset communication quality threshold is met; When the communication quality verification result meets the preset communication quality threshold, directly constructing the key data set according to the communication quality verification result; When the communication quality verification result does not meet the preset communication quality threshold, matching the number of base stations that need to perform communication coordination according to the quality value in the communication quality verification result; According to the number of matched base stations, base stations participating in cooperative signal collection are selected in descending order of cooperative strength; Based on the selected base stations participating in the cooperative signal collection, the cooperative signal collection process is completed; The collaborative signal acquisition results and communication quality verification results are processed for signal enhancement to generate key data sets.

6. The intelligent monitoring method for water conservancy projects in combination with 5G communication technology as claimed in claim 1, characterized in that: The generating of abnormal warning also includes: Match abnormal warnings with the preset warning level library. Different warning levels correspond to different warning release time constraints. Call the warning release time constraint corresponding to the abnormal warning and perform response analysis on the abnormal warning; Update abnormal warnings based on response analysis results.

7. The intelligent monitoring method for water conservancy projects in combination with 5G communication technology as claimed in claim 1, characterized in that: The key features of the key data set include water level features, flow features, and water quality features.

8. An intelligent monitoring system for water conservancy projects combined with 5G communication technology, based on the intelligent monitoring method for water conservancy projects combined with 5G communication technology according to any one of claims 1 to 7, characterized in that: Also includes, A feature library construction module is used to obtain basic information of water conservancy project facilities and construct a facility feature library based on the basic information; The monitoring point construction module is used to read the basic monitoring demand characteristics of users, optimize the distribution of monitoring points through the basic monitoring demand characteristics and facility feature library, and construct N characteristic monitoring points; A communication coordination module is used to configure 5G communication base stations, and execute base station deployment of 5G communication base stations according to the location data of N characteristic monitoring points, establish communication associations between 5G communication base stations and N characteristic monitoring points, and configure communication coordination between 5G communication base stations; A signal interaction module is used to perform signal interaction verification and generate communication quality verification results through signal interaction of characteristic monitoring points corresponding to 5G communication base stations; The data set construction module is used to perform collaborative signal acquisition through communication quality verification results and communication collaboration, and perform signal enhancement processing based on the collaborative signal acquisition results and communication quality verification results to generate a key data set for the water conservancy project; The abnormal warning module is used to obtain the environmental data set, input the environmental data set and the key data set into the adaptation analysis network to perform abnormal analysis and generate abnormal warning.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the intelligent monitoring method for water conservancy projects combined with 5G communication technology described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the intelligent monitoring method for water conservancy projects combined with 5G communication technology described in any one of claims 1 to 7 are implemented.

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