A port ecological environment intelligent supervision system

Abstract

This invention discloses a smart port ecological environment monitoring system, comprising an infrastructure layer, a data platform layer, a technology platform layer, a business application layer, and a user presentation layer deployed sequentially. The infrastructure layer includes a hardware device cluster module and a network transmission module. The data platform layer includes a data standardization processing unit, a data storage unit, and a data sharing unit. The technology platform layer includes a basic service module and a core algorithm module. The basic service module includes a single sign-on subsystem, a workflow engine, geographic information services, and an artificial intelligence system. The user presentation layer provides differentiated, visual displays and operational functions to users and maintenance personnel at all levels through displays, desktop terminals, and mobile terminals. This system enables comprehensive monitoring of multiple elements of the port ecological environment, intelligent control of pollution control facilities, efficient resource utilization, and cross-system collaborative supervision, providing technical support for the construction of green ports.

Description

Technical Field

[0001] This invention relates to the field of port environmental protection supervision technology, specifically to a port ecological environment intelligent supervision system. Background Technology

[0002] As core transportation hubs, ports, while driving economic growth, also face prominent issues such as air pollution, water pollution, and resource waste. Currently, existing port-related environmental monitoring equipment and systems have significant shortcomings. First, system construction is fragmented, with each port independently deploying platforms, inconsistent data transmission standards, and redundant construction, hindering integrated management. Second, monitoring systems are incomplete; wastewater treatment plant monitoring indicators are missing, and monitoring data is only displayed locally, lacking centralized analysis capabilities. Third, intelligent control levels are insufficient; wastewater treatment plants are not fully unmanned, and water supply and drainage networks rely on manual inspections, making it difficult to detect leaks promptly. Fourth, multi-system linkage is lacking; there is a lack of intelligent linkage between dust monitoring and sprinkler control, and between dust monitoring and reclaimed water supply, resulting in low water resource utilization efficiency. While some ports have built environmental monitoring platforms, these primarily focus on data collection and display, failing to achieve integrated monitoring-feedback-control, lacking intelligent control of the entire wastewater treatment process, and lacking a coordinated scheduling mechanism for dust and reclaimed water. These are pressing technical problems that need to be addressed. Summary of the Invention

[0003] The purpose of this invention is to provide a smart monitoring system for the port's ecological environment to address the shortcomings of traditional technologies. This system enables comprehensive monitoring of multiple elements of the port's ecological environment, intelligent control of pollution control facilities, efficient resource utilization, and cross-system collaborative monitoring, providing technical support for the construction of green ports.

[0004] One embodiment of this application provides a port ecological environment intelligent monitoring system, including:

[0005] The infrastructure layer, data platform layer, technology platform layer, business application layer, and user presentation layer are deployed sequentially; among them, The infrastructure layer includes a hardware device cluster module and a network transmission module. The hardware device cluster module includes atmospheric environment monitoring equipment, water environment monitoring equipment, noise monitoring equipment, solid waste monitoring equipment, sewage treatment control equipment, sprinkler facility control equipment, and IoT monitoring equipment. The infrastructure layer is used to collect target data on the port's ecological environment, including multi-element data on the port's ecological environment, pollution control facility operation data, and production operation data. The network transmission module uses a dedicated DDN network or wireless communication mode to realize the transmission of data between the devices. The data platform layer includes a data standardization processing unit, a data storage unit, and a data sharing unit. The data platform layer is used to clean, transform, and integrate the target data, realize data storage through a server cluster, and establish a unified data sharing interface to support cross-system data interaction. The technology platform layer includes a basic service module and a core algorithm module. The basic service module includes a single sign-on subsystem, a workflow engine, geographic information services, and an artificial intelligence system. The core algorithm module includes a wastewater treatment intelligent operation algorithm, a dust-spray-reclaimed water linkage control algorithm, and a pipeline leakage assessment algorithm. The business application layer includes a first-level application module, a second-level application module, and a third-level application module. The third-level application module includes a multi-element online monitoring sub-module for ecological environment, a whole-process intelligent control sub-module for sewage treatment, a whole-process intelligent linkage sub-module for dust online monitoring, spray water demand, and reclaimed water supply scheduling, and a decision support sub-module for environmental protection construction schemes of storage yards. The user presentation layer provides differentiated, visual display and operation functions to users and operation and maintenance personnel at all levels through displays, desktop terminals, and mobile terminals.

[0006] Optionally, the online monitoring submodule for multiple ecological and environmental elements includes a data display unit, a data analysis unit, an alarm management unit, a video monitoring unit, and a data management unit. The data display unit adopts a cockpit format to display port meteorological information, air quality index, daily air quality trend map, water resources and water quality information, GIS map, and solid waste and noise monitoring information. The data analysis unit is used for real-time data viewing, historical data querying, statistical ranking, time period analysis, and export of enterprise application form data; The alarm management unit is used to record, classify, process, and track alarms for exceeding limits, equipment failure, and equipment offline. The video surveillance unit is used for real-time monitoring and viewing, historical monitoring playback, and configuration of the association between monitoring sites and monitoring equipment. The data management unit is used to generate monitoring reports, manage operation records, complete maintenance data, and manage equipment quality control information.

[0007] Optionally, the intelligent control submodule for the entire wastewater treatment process includes an intelligent start / stop unit for wastewater lift pumps, an intelligent control unit for coagulation and chemical dosing processes, a digital operation unit for wastewater treatment equipment, a three-dimensional visualization management unit for water supply and drainage networks, and a leakage control unit for water supply networks; wherein, The intelligent start-stop unit for the sewage lift pump is used to control the start-stop of the lift pump based on a dynamic liquid level control algorithm by coupling the liquid level of the clear water tank with the liquid level of the sewage tank, and dynamically corrects the control liquid level to control the number of start-stop cycles. The intelligent control unit for the coagulation dosing process adjusts the dosage of PAC and PAM based on the influent turbidity and flow rate data through the feedforward model feedback control module. The digital operation unit of the wastewater treatment equipment is used to establish a digital twin model of the wastewater treatment station, monitor equipment operating parameters in real time, and provide fault warnings and maintenance suggestions. The three-dimensional visualization management unit for water supply and drainage pipe network is used to realize pipe network query, statistics, editing and three-dimensional visualization display based on pipe network mapping data; The water supply network leakage control unit is used to construct a DMA zoning scheme and locate pipeline leaks through flow and pressure monitoring data and leakage assessment algorithms.

[0008] Optionally, the intelligent linkage submodule for the entire process of dust online monitoring, sprinkler water demand, and reclaimed water supply scheduling includes a grid dust suppression water demand analysis unit, a sprinkler equipment intelligent control unit, a reclaimable water resource analysis unit, and a water resource scheduling unit; wherein, The grid dust suppression water demand analysis unit is used to classify the dust suppression level of the stockpile and determine the optimal operating parameters of the spray system by combining dust concentration, location of the exceeding area and meteorological conditions. The intelligent control unit of the spraying equipment is used to feed back the optimal operating parameters to the on-site PLC control cabinet, so as to realize the real-time response of dust concentration and spraying equipment. The reusable water resource analysis unit is used to analyze the amount of reusable water resources in each area based on real-time water quality and quantity data from sewage treatment plants and water storage facilities. The water resource scheduling unit is used to generate sewage treatment plant operation condition adjustment instructions based on the sprinkler water demand and sewage treatment system data, so as to realize the dynamic matching of reclaimed water supply and sprinkler water.

[0009] Optionally, the decision support submodule for the environmental protection construction plan of the stockpile includes a key dust-generating point dust suppression effect evaluation unit; the key dust-generating point dust suppression effect evaluation unit is used to quantitatively evaluate the dust suppression effect of the stockpiling, unloading, transportation and loading and unloading links through on-site sampling and monitoring, and to propose optimization suggestions.

[0010] Optionally, the business application layer further includes a system integration module, which supports integration with bulk cargo systems, health and safety systems, and digital twin systems; wherein, The integration with the bulk cargo system includes acquiring ship berthing plans, loading and unloading equipment operating status and environmental protection facility scheduling data, and outputting environmental monitoring data at key production operation points. The interface package with the health, safety, and environmental (SHE) system achieves functional coupling through jump interfaces; The integration with the digital twin system includes obtaining real-time digital twin model call interfaces and outputting port water supply and drainage network and environmental protection facilities and equipment data.

[0011] Optionally, the system further includes an identifier resolution module and a data exchange and transmission standardization module; wherein, The identifier resolution module is used to establish ecological environment identifier resolution nodes and provide code registration and resolution services. The data exchange and transmission standardization module is used to achieve bidirectional data synchronization, incremental data identification, message error handling, and data format conversion functions through a preset transmission protocol.

[0012] Optionally, the intelligent operation algorithm for wastewater treatment includes an optimization algorithm for the start-stop of wastewater lift pumps and a precise control algorithm for coagulation dosing; the linkage control algorithm for dust-spraying-reclaimed water includes an algorithm for calculating dust suppression water demand under meteorological constraints and an optimization algorithm for reclaimed water supply scheduling; the pipeline leakage assessment algorithm combines flow and pressure monitoring data with the pipeline topology to locate leaks.

[0013] Optionally, the method of combining flow and pressure monitoring data with pipeline topology to locate leaks includes: By combining flow and pressure monitoring data and pipeline topology, an objective function for determining the location of leaks is constructed, and the target value of the objective function is solved by a numerical iterative algorithm. When the target value is less than the set threshold, the leak location result is output.

[0014] Optionally, the objective function is represented as follows:

[0015] in, , These represent the nodes calculated using the network hydraulic model when leakage is considered. Traffic and pressure, , Represents a node Actual flow rate and pressure measurements , Indicates the weighting coefficient. Indicates the pipe number. Indicates the distance to the leak point. Indicates pipeline Length, Indicates a collection of pipelines in a network. This represents the set of monitoring nodes.

[0016] Compared with existing technologies, this invention provides a smart port ecological environment monitoring system, comprising an infrastructure layer, a data platform layer, a technology platform layer, a business application layer, and a user presentation layer deployed sequentially. The infrastructure layer includes a hardware device cluster module and a network transmission module. The data platform layer includes a data standardization processing unit, a data storage unit, and a data sharing unit. The data platform layer is used to clean, transform, and integrate target data, implement data storage through a server cluster, and establish a unified data sharing interface to support cross-system data interaction. The technology platform layer includes a basic service module and a core algorithm module. The basic service module includes… The system comprises a single sign-on subsystem, a workflow engine, geographic information services, and an artificial intelligence system. Core algorithm modules include intelligent operation algorithms for wastewater treatment, a dust-spray-reclaimed water linkage control algorithm, and a pipeline leakage assessment algorithm. Three-tiered application modules include online monitoring of multiple ecological and environmental elements, intelligent control of the entire wastewater treatment process, intelligent linkage of online dust monitoring, spray water demand, and reclaimed water supply scheduling, and decision support for environmental protection construction plans in storage yards. The user presentation layer provides differentiated, visual displays and operational functions to users and maintenance personnel at all levels through displays, desktops, and mobile devices. This enables comprehensive monitoring of multiple elements of the port's ecological environment, intelligent control of pollution control facilities, efficient resource utilization, and cross-system collaborative supervision, providing technical support for green port construction. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the structure of a port ecological environment intelligent monitoring system provided in an embodiment of the present invention. Detailed Implementation

[0018] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0019] See Figure 1 , Figure 1 This is a schematic diagram of the structure of a port ecological environment intelligent monitoring system provided in an embodiment of the present invention. Figure 1A port ecological environment intelligent monitoring system 100 is disclosed. The system 100 includes an infrastructure layer 101, a data platform layer 102, a technology platform layer 103, a business application layer 104, and a user presentation layer 105, deployed sequentially. The infrastructure layer 101 includes a hardware device cluster module and a network transmission module. The hardware device cluster module includes atmospheric environment monitoring equipment, water environment monitoring equipment, noise monitoring equipment, solid waste monitoring equipment, sewage treatment control equipment, sprinkler facility control equipment, and IoT monitoring equipment. This infrastructure layer is used to collect target data on the port's ecological environment, including multi-element data on the port's ecological environment, pollution control facility operation data, and production operation data. The network transmission module uses a dedicated DDN network or wireless communication mode to realize the transmission of data between devices. The data platform layer 102 includes a data standardization processing unit, a data storage unit, and a data sharing unit. This data platform layer is used to process the target data... The system performs cleaning, conversion, and integration processing, and uses a server cluster for data storage, establishing a unified data sharing interface to support cross-system data interaction. The technology platform layer 103 includes a basic service module and a core algorithm module. The basic service module includes a single sign-on subsystem, a workflow engine, geographic information services, and an artificial intelligence system. The core algorithm module includes a smart wastewater treatment operation algorithm, a dust-spray-reclaimed water linkage control algorithm, and a pipeline leakage assessment algorithm. The business application layer 104 includes a first-level application module, a second-level application module, and a third-level application module. The third-level application module includes a multi-element online monitoring submodule for the ecological environment, a smart control submodule for the entire wastewater treatment process, a smart linkage submodule for the entire process of dust online monitoring, spray water demand, and reclaimed water supply scheduling, and a decision support submodule for environmental protection construction schemes for storage yards. The user presentation layer 105 provides differentiated, visual display and operation functions to users and operation and maintenance personnel at all levels through displays, desktops, and mobile devices.

[0020] The online monitoring submodule for multiple ecological and environmental elements includes a data display unit, a data analysis unit, an alarm management unit, a video monitoring unit, and a data management unit. The data display unit, in a cockpit format, displays port meteorological information, air quality index, daily air quality trend charts, water resources and water quality information, a GIS map, and solid waste and noise monitoring information. The data analysis unit is used for real-time data viewing, historical data querying, statistical ranking, time-period analysis, and exporting data from enterprise declaration forms. The alarm management unit is used to record, classify, and track alarms for exceeding standards, equipment failures, and equipment offline status. The video monitoring unit is used for real-time monitoring, historical monitoring playback, and configuring the association between monitoring stations and monitoring equipment. The data management unit is used to generate monitoring reports, manage operation records, complete maintenance data, and manage equipment quality control information.

[0021] The intelligent control submodule for the entire wastewater treatment process includes an intelligent start-stop unit for wastewater lift pumps, an intelligent control unit for coagulation and chemical dosing processes, a digital operation unit for wastewater treatment equipment, a three-dimensional visualization management unit for water supply and drainage networks, and a leakage control unit for water supply networks. Specifically, the intelligent start-stop unit for wastewater lift pumps uses a dynamic level control algorithm to couple the levels in the clear water tank and wastewater tank to control the start-stop frequency of the lift pumps, dynamically correcting the control level. The intelligent control unit for coagulation and chemical dosing processes uses a feedforward model feedback control module to adjust the dosage of PAC and PAM based on influent turbidity and flow data. The digital operation unit for wastewater treatment equipment is used to establish a digital twin model of the wastewater treatment station, monitor equipment operating parameters in real time, and provide fault warnings and maintenance suggestions. The three-dimensional visualization management unit for water supply and drainage networks is used to perform network query statistics, editing, and three-dimensional visualization based on network mapping data. The leakage control unit for water supply networks is used to construct a DMA (Digital Transmission and Control) zoning scheme, using flow and pressure monitoring data and leakage assessment algorithms to locate pipeline leaks.

[0022] For example, based on the number of historical start-stop cycles Dynamically adjust correction values ​​to avoid frequent start-stop cycles:

[0023] in, This indicates a dynamically corrected liquid level. Indicates the initial corrected liquid level. This indicates adaptive correction of the liquid level. Indicates the number of historical starts and stops. Indicates the target start-stop frequency. This indicates the maximum allowed start / stop frequency.

[0024] In one optional implementation, the intelligent linkage submodule for the entire process of online dust monitoring, sprinkler water demand, and reclaimed water supply scheduling includes a grid dust suppression water demand analysis unit, a sprinkler equipment intelligent control unit, a reclaimable water resource analysis unit, and a water resource scheduling unit. Specifically, the grid dust suppression water demand analysis unit is used to classify the dust suppression level of the storage yard and determine the optimal operating parameters of the sprinkler system based on dust concentration, location of areas exceeding standards, and meteorological conditions. The sprinkler equipment intelligent control unit is used to feed back the optimal operating parameters to the on-site PLC control cabinet, enabling real-time response between dust concentration and sprinkler equipment. The reclaimable water resource analysis unit is used to analyze the amount of reclaimable water resources in each area based on real-time water quality and quantity data from the wastewater treatment plant and water storage facilities. The water resource scheduling unit is used to generate wastewater treatment plant operation condition adjustment instructions based on sprinkler water demand and wastewater treatment system data, achieving dynamic matching between reclaimed water supply and sprinkler water usage.

[0025] The decision support submodule for the environmental protection construction plan of the stockpile includes a key dust-generating point dust suppression effect evaluation unit. The key dust-generating point dust suppression effect evaluation unit is used to quantitatively evaluate the dust suppression effect of the stockpiling, unloading, transportation and loading and unloading links through on-site sampling and monitoring, and to propose optimization suggestions.

[0026] In one optional implementation, the business application layer 104 further includes a system interface module, which supports interfaceing with the bulk cargo system, the health, safety and environmental (SHE) system, and the digital twin system. The interface with the bulk cargo system includes acquiring ship berthing plans, operating conditions of loading and unloading equipment, and environmental facility scheduling data, and outputting environmental monitoring data for key production operation points. The interface with the SHE system achieves functional coupling through jump interfaces. The interface with the digital twin system includes acquiring real-time digital twin model call interfaces and outputting port water supply and drainage network and environmental facility equipment data.

[0027] It should be noted that the port ecological environment intelligent supervision system 100 may also include an identifier resolution module and a data exchange and transmission standardization module; wherein, the identifier resolution module is used to establish ecological environment identifier resolution nodes, code registration and resolution services; the data exchange and transmission standardization module is used to realize bidirectional data synchronization, incremental data identification, message error processing and data format conversion functions through a preset transmission protocol.

[0028] In one optional implementation, the intelligent operation algorithm for wastewater treatment includes a wastewater lift pump start-stop optimization algorithm and a coagulation dosing precision control algorithm; the dust-spray-reclaimed water linkage control algorithm includes a dust suppression water demand calculation algorithm under meteorological constraints and a reclaimed water supply scheduling optimization algorithm; the pipeline leakage assessment algorithm combines flow and pressure monitoring data with pipeline topology to locate leaks.

[0029] The method of locating leaks by combining flow and pressure monitoring data with pipeline topology may include: By combining flow and pressure monitoring data and pipeline topology, an objective function for determining leak location is constructed, and the target value of the objective function is solved by a numerical iterative algorithm; when the target value is less than a set threshold, the leak location result is output.

[0030] For example, the objective function is represented as follows:

[0031] in, , These represent the nodes calculated using the network hydraulic model when leakage is considered. Traffic and pressure, , Represents a node Actual flow rate and pressure measurements , Indicates the weighting coefficient. Indicates the pipe number. Indicates the distance to the leak point. Indicates pipeline Length, Indicates a collection of pipelines in a network. This represents the set of monitoring nodes.

[0032] The above objective function is solved using numerical iterative algorithms, such as the Newton-Raphson method or genetic algorithms. When the objective value is less than a set threshold, the leak location result is output.

[0033] in, This indicates that the target pipeline has a leak. Indicates the precise location of the leak on the target pipe. This indicates the real-time leakage flow rate at the leak point.

[0034] The present application will now be described with reference to a specific embodiment: For example, the port ecological environment intelligent supervision system 100 adopts a layered deployment and collaborative architecture design. From bottom to top, it consists of an infrastructure layer 101, a data middle platform layer 102, a technology middle platform layer 103, a business application layer 104, and a user presentation layer 105. Each layer achieves data interconnection and business collaboration through a message bus. It is also equipped with an identifier resolution module and a data exchange and transmission standardization module to build a full-chain intelligent supervision system of data collection, processing, support, application, display, and interconnection. It accurately matches management needs and solves core problems such as fragmentation, insufficient intelligent control, and data incompatibility in existing systems.

[0035] Among them, infrastructure layer 101 is the sensing terminal for system data acquisition. It comprehensively collects target data related to the port's ecological environment and production operations through a hardware device cluster module, and achieves stable data transmission through a network transmission module, providing raw data support for subsequent smart applications. The hardware device cluster module integrates existing equipment and newly added supplementary equipment to achieve multi-dimensional, full-scenario data acquisition. Specific equipment and acquisition content are as follows: Atmospheric environment monitoring equipment includes online dust monitors using light scattering, beta-ray dust monitors, lidar particulate matter online monitoring equipment, and monitoring equipment for monitoring temperature, humidity, wind speed, wind direction, and air pressure. The core monitoring indicators are TSP, PM10, and PM2.5.

[0036] Water environment monitoring equipment: including pH meters, COD monitors, ammonia nitrogen monitors, total nitrogen monitors, total phosphorus monitors, turbidity meters, dissolved solids concentration meters, flow meters, level gauges, etc., deployed at the inlet and outlet of sewage treatment plants, rainwater and sewage collection ponds, and key nodes of water supply and drainage networks.

[0037] Noise monitoring equipment: Deployed at the port area boundary and main operating areas, such as the storage yard and loading and unloading area, to monitor the equivalent sound level of noise in real time, and reserve data interfaces to connect with the system platform to meet the requirements of noise pollution control.

[0038] Solid waste monitoring equipment: Set up for solid waste storage points and transfer routes to monitor information such as solid waste storage volume, transfer frequency, and disposal destination, and realize real-time monitoring of storage status through equipment.

[0039] Wastewater treatment control equipment includes control modules for wastewater treatment facilities such as wastewater lift pumps, dosing pumps, filter presses, coagulation sedimentation tanks, and screw press dewatering equipment.

[0040] Sprinkler control equipment: encompasses control modules for dust suppression facilities such as fixed sprinkler heads, fog cannons, and mobile fog cannons in the stockyard. It supports intelligent start and stop based on dust concentration data, enabling local control, semi-automatic control, and fully automatic linkage control with the dust monitoring system.

[0041] IoT monitoring equipment, including NB pressure sensors and insertion electromagnetic flow meters, is deployed at key nodes such as water supply network pumping stations, pressure reducing valves, and pipeline branches to collect network pressure and flow data, providing data support for network leakage assessment.

[0042] The network transmission module adopts a wired-first, wireless-secondary transmission mode, prioritizing the use of the internal DDN dedicated network for data transmission to ensure stability and security. For terminal devices limited by on-site conditions, such as remote monitoring points, mobile devices, or those where cabling is inconvenient, a 5G wireless communication mode is used. The module supports data interruption resume function, automatically re-transmitting missing data when the network connection is restored after an interruption, meeting the performance requirements of real-time dynamic data, such as sensor sensing data transmission latency not exceeding 2 seconds, static data, such as report data transmission latency not exceeding 2 seconds, and video surveillance data transmission latency not exceeding 1 second.

[0043] Data Platform Layer 102 is the core of data processing and sharing. It undertakes the standardized processing, storage, and sharing of target data, breaking down existing problems such as inconsistent data formats, data silos, and redundant construction across port systems, providing support for cross-level and cross-system data applications. Specifically, the data standardization processing unit preprocesses the collected target data according to national and industry standards. For example, it uses algorithms to remove abnormal data, such as concentration exceeding standards due to equipment failure, invalid data generated by transmission errors, and deviations caused by sensor drift, ensuring data accuracy. It also converts heterogeneous data output from different devices and systems into a unified standard format. Furthermore, it can correlate multi-element ecological and environmental data, pollution control facility operation data, and production operation data. For instance, it can correlate dust concentration exceeding standards in a certain area with the corresponding area's sprinkler equipment operating status, wastewater treatment plant reclaimed water supply flow, and ship berthing operation plans, forming a complete data chain and providing data support for intelligent linkage control.

[0044] The data storage unit utilizes a server cluster architecture to construct a massive database, supporting multiple database types such as MySQL and Oracle. Storage capacity can be configured according to actual needs. Stored content includes real-time monitoring data, historical data, equipment operation logs, user operation records, alarm records, etc. The database employs a single-table design to enable data sharing across various business systems, avoiding data redundancy. A scheduled backup mechanism is also configured to ensure data security and recoverability.

[0045] The data sharing unit establishes a unified data sharing interface, adhering to mainstream protocols such as Web Service, MQTT, and HTTP, supporting data interaction with 104 modules in the business application layer and external existing systems, achieving one-time data collection and multi-party reuse. For example, it outputs water, air, and noise monitoring data from key production operation points to the bulk cargo system; obtains real-time digital twin model call interfaces from the digital twin system; and receives monitoring data from the environmental monitoring system, achieving data aggregation and unified supervision.

[0046] The technology platform layer 103 provides basic service support and core algorithm capabilities for the system, integrating advanced technologies such as big data, artificial intelligence, the Internet of Things, and geographic information, and is key to achieving intelligent system operation. Among them, the single sign-on subsystem can adopt an account-password authentication mode to achieve unified identity authentication for users and operation and maintenance personnel at all levels, supporting hierarchical permission management to ensure that different users can only operate functions and data within their corresponding permission scope, thus ensuring system security.

[0047] It supports customized configuration and automated execution of business processes such as environmental monitoring and early warning response, equipment failure reporting, and report approval. For example, after an equipment failure alarm is triggered, a work order is automatically pushed to the corresponding maintenance personnel to track the progress of the response and improve business processing efficiency. It supports a single-map monitoring mode, such as marking spatial information like the location of monitoring equipment, pipeline distribution, leak locations, and areas with excessive dust on a GIS map, supporting layer control and drill-down queries. The intelligent operation algorithm for wastewater treatment and the wastewater lift pump start-stop optimization algorithm are based on dynamic liquid level control logic. By coupling the liquid levels in the clear water tank and the wastewater tank, the start-stop of the lift pump is controlled, and the control liquid level threshold is dynamically corrected. The precise control algorithm for coagulation and chemical dosing uses a feedforward model to feed back to the control module. Based on the influent turbidity and flow data, combined with the effluent turbidity feedback value, the dosage of PAC and PAM is adjusted.

[0048] The business application layer 104 is the core functional carrier of the system, designed according to a hierarchical architecture of first-level company (group company), second-level company (subsidiary company), and third-level company (port company), and is equipped with a system interface module to meet the differentiated business needs of users at different levels. The core functions of the first-level application module (group level) include a dashboard, a single map, data query and analysis, data reports, alarm query, etc., for overall supervision at the group level. The dashboard displays the overall overview of the ecological environment monitoring data of each second-level company, alarm status, and total data of sewage / reclaimed water / recycled water through a large screen, and supports penetrating to view detailed data of second-level companies and ports; the single map displays the online, offline, and alarm status of monitoring equipment of each second-level company based on a GIS map, and supports equipment location and real-time data viewing; data query and analysis: supports hourly / daily / monthly query of environmental monitoring data, sewage treatment control data, and linkage control data of each port, and provides statistical ranking, year-on-year and month-on-month analysis functions; data reports and alarm queries generate customized reports (daily / weekly / monthly / annual reports) and support export, and statistically analyze the excessive alarms, equipment failure alarms, and equipment offline alarm records of each port. The core functions of the secondary application module include a port dashboard, a unified map of the secondary company, data query and analysis, data reports, and alarm queries, which are used by the secondary company to conduct hierarchical control over its subordinate terminals. The port dashboard includes an online monitoring dashboard for multiple ecological and environmental elements, an intelligent control dashboard for the entire wastewater treatment process, and a dust-spraying-reclaimed water linkage dashboard, displaying detailed monitoring and control data of subordinate terminals. The online monitoring submodule for multiple ecological and environmental elements integrates atmospheric, water, noise, and solid waste monitoring functions to achieve integrated supervision of multiple elements. It includes five units, among which the data display unit adopts a dashboard format to centrally display port meteorological information, air quality index, 24-hour air quality trend map, water resource overview, water quality overview, a unified GIS map, and solid waste and noise monitoring information. The data analysis unit supports real-time data viewing, historical data querying, statistical ranking, time-period analysis, and export of data from water-saving enterprise application forms; the alarm management unit categorizes and records alarms for exceeding standards, equipment failure, and equipment offline, including alarm time, site name, alarm type, and alarm content, and supports alarm handling tracking; the video monitoring unit associates monitoring equipment near each monitoring site, supports real-time monitoring viewing, historical monitoring playback, and configuration of association between monitoring sites and monitoring equipment, for example, when dust concentration exceeds the standard, the monitoring screen of the corresponding area can be quickly retrieved to view the on-site situation; the data management unit realizes monitoring report generation, operation record management, operation and maintenance data completion, and equipment quality control information management.

[0049] The intelligent control submodule for the entire wastewater treatment process enables automated and intelligent management of the entire process. It comprises five units, including an intelligent start-stop unit for wastewater lift pumps. Based on a dynamic level control algorithm, this unit couples the levels in the clear water tank and the wastewater tank to control the start and stop of the lift pumps, dynamically correcting the control levels to reduce pump start-stop frequency and energy consumption. For example, when the wastewater tank level reaches 80% and the clear water tank level is below 30%, the lift pump automatically starts; when the wastewater tank level is below 20% and the clear water tank level is above 70%, the lift pump automatically stops. The intelligent control unit for the coagulation and chemical dosing process uses a feedforward model feedback control module to acquire real-time data on the influent turbidity and flow rate of the coagulation sedimentation tank. Combined with the effluent turbidity feedback value, it adjusts the operating frequency of the dosing pumps to precisely control the dosage of PAC and PAM. For example, when the influent turbidity increases, the dosing pump frequency is automatically increased, and the dosage is increased; when the effluent turbidity is below the target value, the dosage is appropriately reduced.

[0050] The digital operation unit for wastewater treatment equipment is used to establish a digital twin model of the wastewater treatment plant, monitor key operating parameters of the equipment in real time, highlight faulty equipment and provide maintenance suggestions when monitoring data exceeds limits, and issue an alarm when the water level in the dosing tank reaches the minimum level, reminding users to replenish chemicals. The 3D visualization management unit for water supply and drainage networks is used to conduct surveys of the underground water supply and drainage networks in the port area. Based on the survey data, it integrates basic data of network equipment, enabling network query, statistics, editing, 3D visualization, and distance / area / vertical distance measurement functions, solving the problems of chaotic network drawing management and discrepancies with reality.

[0051] The water supply network leakage control unit is used to construct a water supply network DMA zoning scheme, such as dividing the port area into several independent zones according to its functions. Through flow and pressure monitoring data and network leakage assessment algorithms, the system analyzes the network leakage situation and locates leaks in a timely manner. It sets flow and pressure alarm thresholds for each zone, and when the data is abnormal, it issues early warning information through platform push, SMS notification, and other means to reduce the network leakage rate.

[0052] The intelligent linkage submodule for the entire process of dust online monitoring, sprinkler water demand, and reclaimed water supply scheduling achieves full-chain linkage of monitoring, analysis, control, and scheduling. This includes a grid-based dust suppression water demand analysis unit, which divides the stockyard into several grids, analyzes the dust concentration, location of exceeding standards, dust concentration distribution characteristics, and meteorological conditions in each grid, classifies the stockyard dust suppression level, and determines the optimal operating parameters for the sprinkler system, including the sprinkler device activation range, operating time, and batch start-up plan. The intelligent control unit for the sprinkler equipment transmits the optimal operating parameters to the on-site sprinkler system PLC control cabinet via network, enabling real-time response between dust monitoring concentration and sprinkler equipment. For example, when the dust concentration in a certain grid exceeds the standard, the sprinkler devices in that grid and surrounding grids are automatically activated and run according to the set time. The reclaimable water resource analysis unit collects real-time data on the water quality after wastewater treatment at the wastewater treatment plant and the liquid level of water storage facilities, analyzes the amount of reclaimable water resources in each area of ​​the port, generates a heat map of reclaimable water resource distribution, and clarifies the available reclaimable water volume in each area. Based on the operating parameters of the sprinkler system and the data of the sewage treatment system, the water resource scheduling unit generates operating condition adjustment instructions for the sewage treatment plant and sends them to the PLC control cabinet at the sewage treatment plant through the PLC smart gateway, so as to realize real-time response to the demand for reclaimed water supply and sprinkler water, and improve the efficiency of sewage resource utilization.

[0053] The decision support submodule for the environmental protection construction plan of the storage yard provides a scientific basis for decision-making regarding the environmental protection construction plan of the storage yard. Its core component is the dust suppression effectiveness assessment unit for key dust-generating points. This unit conducts on-site sampling and monitoring of key dust-generating processes at specialized and non-specialized dry bulk cargo terminals in the port area, such as storage, unloading, transportation, and loading / unloading. Particulate matter collectors are deployed around the dust-generating points and at reference locations upwind, simultaneously monitoring meteorological conditions such as wind speed and direction to quantitatively assess the dust suppression effectiveness of existing measures. Optimization suggestions are proposed for processes with poor dust suppression effects.

[0054] In one optional implementation, the system integration module also supports seamless integration with the bulk cargo system, the health, safety and environmental (SHE) system, and the digital twin system, achieving data interoperability and functional coupling. Integration with the bulk cargo system acquires data on vessel berthing status and future berthing plans, the operating status of ship loaders / unloaders / stack-reclaimers, transport vehicle dynamics, and environmental facility scheduling. It outputs real-time monitoring data on water, air, and noise at key production points, providing environmental data support for bulk cargo production scheduling. Integration with the SHE system achieves functional coupling through a jump interface, allowing SHE system users to directly log in and access environmental monitoring and intelligent control functions, thus enhancing the SHE system's environmental management module. Integration with the digital twin system obtains real-time digital twin model call interfaces and outputs port water supply and drainage network and environmental protection facility equipment data. This data supplements the digital twin system's environmental protection facility-related models, improving the completeness and usability of the digital twin system.

[0055] The user presentation layer 105 provides differentiated visualization and operation functions for users at different levels, supports multi-terminal access, and ensures ease of operation and intuitive data display. The display screen can be deployed in the monitoring centers of the group company, second-tier subsidiaries, and port companies, using a large electronic display screen to show global data and the dashboard interface, supporting split-screen display. The desktop client accesses the system via a web browser, supporting detailed data queries, statistical analysis, report generation, and equipment control. The interface adopts a responsive design to adapt to different screen sizes. The mobile client accesses the system via mobile apps, tablets, and other mobile terminals, supporting different operating systems. Core functions include real-time monitoring data viewing, alarm information reception and processing, simple equipment control, and report preview, meeting users' mobile operation and maintenance management needs.

[0056] The system provides a comprehensive overview for group management users, showcasing environmental quality rankings, wastewater reuse rate statistics, macro-trend analysis, early warning and forecasting, and environmental governance assessments for each subsidiary. It also supports data report export and decision analysis. Subsidiary company management users can view monitoring data, equipment operating status, and alarm information from their subordinate terminals, and can perform data queries, statistical analysis, business coordination, and remote equipment control. Terminal operation users can view detailed monitoring data for their port area, equipment operating parameters, and control interfaces, enabling real-time equipment control and handling of daily alarms. Maintenance and management personnel can view system configurations, equipment status, and maintenance logs, and can perform system fault handling, data maintenance, and equipment quality control.

[0057] The identifier resolution module is used to establish ecological and environmental identifier resolution nodes, supporting coding registration and resolution services for identifier systems such as VAA, MA, GS1, Handle, and OID. It adopts a hierarchical registration management mechanism according to a coding hierarchy, with secondary nodes providing port code registration services to port nodes, assigning unique identifier codes to monitoring equipment, pipeline facilities, and environmental protection systems. Identifier resolution supports access authentication, allowing queries of corresponding equipment information, monitoring data, pipeline parameters, etc., based on the identifier code, establishing an interconnection mechanism between internal and external port data. For example, it allows querying the manufacturer, calibration records, and real-time monitoring data of a monitoring device through the identifier code. The data exchange and transmission standardization module supports multiple transmission protocols and data processing functions, ensuring the stability and accuracy of cross-system data interaction.

[0058] Compared with existing technologies, this invention provides a smart port ecological environment monitoring system, comprising an infrastructure layer, a data platform layer, a technology platform layer, a business application layer, and a user presentation layer deployed sequentially. The infrastructure layer includes a hardware device cluster module and a network transmission module. The data platform layer includes a data standardization processing unit, a data storage unit, and a data sharing unit. The data platform layer is used to clean, transform, and integrate target data, implement data storage through a server cluster, and establish a unified data sharing interface to support cross-system data interaction. The technology platform layer includes a basic service module and a core algorithm module. The basic service module includes… The system comprises a single sign-on subsystem, a workflow engine, geographic information services, and an artificial intelligence system. Core algorithm modules include intelligent operation algorithms for wastewater treatment, a dust-spray-reclaimed water linkage control algorithm, and a pipeline leakage assessment algorithm. Three-tiered application modules include online monitoring of multiple ecological and environmental elements, intelligent control of the entire wastewater treatment process, intelligent linkage of online dust monitoring, spray water demand, and reclaimed water supply scheduling, and decision support for environmental protection construction plans in storage yards. The user presentation layer provides differentiated, visual displays and operational functions to users and maintenance personnel at all levels through displays, desktops, and mobile devices. This enables comprehensive monitoring of multiple elements of the port's ecological environment, intelligent control of pollution control facilities, efficient resource utilization, and cross-system collaborative supervision, providing technical support for green port construction.

[0059] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0060] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0061] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0062] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0063] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0064] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0065] The embodiments of the present invention have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A port ecological environment intelligent monitoring system, characterized in that, include: The infrastructure layer, data platform layer, technology platform layer, business application layer, and user presentation layer are deployed sequentially; among them, The infrastructure layer includes a hardware device cluster module and a network transmission module. The hardware device cluster module includes atmospheric environment monitoring equipment, water environment monitoring equipment, noise monitoring equipment, solid waste monitoring equipment, sewage treatment control equipment, sprinkler facility control equipment, and IoT monitoring equipment. The infrastructure layer is used to collect target data on the port's ecological environment, including multi-element data on the port's ecological environment, pollution control facility operation data, and production operation data. The network transmission module uses a dedicated DDN network or wireless communication mode to realize the transmission of data between the devices. The data platform layer includes a data standardization processing unit, a data storage unit, and a data sharing unit. The data platform layer is used to clean, transform, and integrate the target data, realize data storage through a server cluster, and establish a unified data sharing interface to support cross-system data interaction. The technology platform layer includes a basic service module and a core algorithm module. The basic service module includes a single sign-on subsystem, a workflow engine, geographic information services, and an artificial intelligence system. The core algorithm module includes a wastewater treatment intelligent operation algorithm, a dust-spray-reclaimed water linkage control algorithm, and a pipeline leakage assessment algorithm. The business application layer includes a first-level application module, a second-level application module, and a third-level application module. The third-level application module includes a multi-element online monitoring sub-module for ecological environment, a whole-process intelligent control sub-module for sewage treatment, a whole-process intelligent linkage sub-module for dust online monitoring, spray water demand, and reclaimed water supply scheduling, and a decision support sub-module for environmental protection construction schemes of storage yards. The user presentation layer provides differentiated, visual display and operation functions to users and operation and maintenance personnel at all levels through displays, desktop terminals, and mobile terminals.

2. The port ecological environment intelligent supervision system according to claim 1, characterized in that, The online monitoring submodule for multiple elements of the ecological environment includes a data display unit, a data analysis unit, an alarm management unit, a video monitoring unit, and a data management unit. The data display unit adopts a cockpit format to display port meteorological information, air quality index, daily air quality trend map, water resources and water quality information, GIS map, and solid waste and noise monitoring information. The data analysis unit is used for real-time data viewing, historical data querying, statistical ranking, time period analysis, and export of enterprise application form data; The alarm management unit is used to record, classify, process, and track alarms for exceeding limits, equipment failure, and equipment offline. The video surveillance unit is used for real-time monitoring and viewing, historical monitoring playback, and configuration of the association between monitoring sites and monitoring equipment. The data management unit is used to generate monitoring reports, manage operation records, complete maintenance data, and manage equipment quality control information.

3. The port ecological environment intelligent supervision system according to claim 2, characterized in that, The intelligent control submodule for the entire wastewater treatment process includes an intelligent start / stop unit for wastewater lift pumps, an intelligent control unit for coagulation and chemical dosing processes, a digital operation unit for wastewater treatment equipment, a three-dimensional visualization management unit for water supply and drainage networks, and a leakage control unit for water supply networks; among which... The intelligent start-stop unit for the sewage lift pump is used to control the start-stop of the lift pump based on a dynamic liquid level control algorithm by coupling the liquid level of the clear water tank with the liquid level of the sewage tank, and dynamically corrects the control liquid level to control the number of start-stop cycles. The intelligent control unit for the coagulation dosing process adjusts the dosage of PAC and PAM based on the influent turbidity and flow rate data through the feedforward model feedback control module. The digital operation unit of the wastewater treatment equipment is used to establish a digital twin model of the wastewater treatment station, monitor equipment operating parameters in real time, and provide fault warnings and maintenance suggestions. The three-dimensional visualization management unit for water supply and drainage pipe network is used to realize pipe network query, statistics, editing and three-dimensional visualization display based on pipe network mapping data; The water supply network leakage control unit is used to construct a DMA zoning scheme and locate pipeline leaks through flow and pressure monitoring data and leakage assessment algorithms.

4. The port ecological environment intelligent monitoring system according to claim 3, characterized in that, The intelligent linkage submodule for the entire process of dust online monitoring, sprinkler water demand, and reclaimed water supply scheduling includes a grid dust suppression water demand analysis unit, a sprinkler equipment intelligent control unit, a reclaimable water resource analysis unit, and a water resource scheduling unit; among which... The grid dust suppression water demand analysis unit is used to classify the dust suppression level of the stockpile and determine the optimal operating parameters of the spray system by combining dust concentration, location of the exceeding area and meteorological conditions. The intelligent control unit of the spraying equipment is used to feed back the optimal operating parameters to the on-site PLC control cabinet, so as to realize the real-time response of dust concentration and spraying equipment. The reusable water resource analysis unit is used to analyze the amount of reusable water resources in each area based on real-time water quality and quantity data from sewage treatment plants and water storage facilities. The water resource scheduling unit is used to generate sewage treatment plant operation condition adjustment instructions based on the sprinkler water demand and sewage treatment system data, so as to realize the dynamic matching of reclaimed water supply and sprinkler water.

5. The port ecological environment intelligent supervision system according to claim 4, characterized in that, The decision support submodule of the environmental protection construction plan for the stockpile includes a dust suppression effect evaluation unit for key dust-generating points. The dust suppression effect evaluation unit for key dust-generating points is used to quantitatively evaluate the effectiveness of dust suppression measures in the stockpiling, unloading, transportation, and loading / unloading processes through on-site sampling and monitoring, and to propose optimization suggestions.

6. The port ecological environment intelligent supervision system according to claim 5, characterized in that, The business application layer also includes a system integration module, which supports integration with bulk cargo systems, health and safety systems, and digital twin systems; wherein... The integration with the bulk cargo system includes acquiring ship berthing plans, loading and unloading equipment operating status and environmental protection facility scheduling data, and outputting environmental monitoring data at key production operation points. The interface package with the health, safety, and environmental (SHE) system achieves functional coupling through jump interfaces; The integration with the digital twin system includes obtaining real-time digital twin model call interfaces and outputting port water supply and drainage network and environmental protection facilities and equipment data.

7. The port ecological environment intelligent supervision system according to claim 6, characterized in that, The system also includes an identifier resolution module and a data exchange and transmission standardization module; wherein... The identifier resolution module is used to establish ecological environment identifier resolution nodes and provide code registration and resolution services. The data exchange and transmission standardization module is used to achieve bidirectional data synchronization, incremental data identification, message error handling, and data format conversion functions through a preset transmission protocol.

8. The port ecological environment intelligent supervision system according to claim 7, characterized in that, The intelligent operation algorithm for wastewater treatment includes an optimization algorithm for the start and stop of wastewater lift pumps and a precise control algorithm for coagulation dosing; the linkage control algorithm for dust-spraying-reclaimed water includes an algorithm for calculating dust suppression water demand under meteorological constraints and an optimization algorithm for reclaimed water supply scheduling; the pipeline leakage assessment algorithm combines flow and pressure monitoring data with pipeline topology to locate leaks.

9. The port ecological environment intelligent supervision system according to claim 8, characterized in that, The method of combining flow and pressure monitoring data with pipeline topology to locate leaks includes: By combining flow and pressure monitoring data and pipeline topology, an objective function for determining the location of leaks is constructed, and the target value of the objective function is solved by a numerical iterative algorithm. When the target value is less than the set threshold, the leak location result is output.

10. The port ecological environment intelligent supervision system according to claim 9, characterized in that, The objective function is expressed as follows: in, , These represent the nodes calculated using the network hydraulic model when leakage is considered. Traffic and pressure, , Represents a node Actual flow rate and pressure measurements , Indicates the weighting coefficient. Indicates the pipe number. Indicates the distance to the leak point. Indicates pipeline Length, Indicates a collection of pipelines in a network. This represents the set of monitoring nodes.

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