Intelligent multi-stage water supply and drainage management and control system, control method and electronic equipment

Abstract

The invention provides an intelligent multi-stage water supply and drainage management and control system, a control method and electronic equipment. According to the system, the water level detection device and the cooperative control device are linked through wireless communication, the pump room control unit can perform automatic control according to set parameters when communication is interrupted, and water supply and drainage control is performed by adopting a peak-avoiding valley-filling optimization control strategy and a video AI analysis technology, so that the system does not need to depend on manual control and management, and the working efficiency is improved. The purposes of remote monitoring and intelligent scheduling are achieved, and then the problems that a traditional water supply system depends on manual control and management, and remote monitoring and intelligent scheduling cannot be achieved are solved.

Description

Technical Field

[0001] The present application relates to the technical field of water supply and drainage, and in particular to an intelligent multi-level water supply and drainage management and control system, a control method and an electronic device. Background Art

[0002] On the one hand, the water supply system needs to meet the growing water demand; on the other hand, with the rise in electricity prices, the operating costs of the water supply system have also increased accordingly. Therefore, how to optimize the operation and management of the water supply system and improve the efficiency and safety of the water supply system has become an important issue facing the current water supply industry.

[0003] Traditional water supply systems rely on manual control and management, and have problems such as slow response, low efficiency, and poor safety. In order to cope with these problems, some water supply systems have begun to adopt automation and intelligent technologies to improve the operating efficiency and safety of water supply systems. However, there are still some problems with existing water supply systems, such as: the inability to achieve remote monitoring and intelligent scheduling; the inability to achieve intelligent optimization of energy use; the inability to achieve real-time safety behavior monitoring of water supply systems; the inability to achieve fault self-healing capabilities of water supply systems; the inability to achieve real-time interaction between water supply systems and the external environment, etc. Summary of the invention

[0004] The main purpose of this application is to provide an intelligent multi-level water supply and drainage management and control system, control method and electronic equipment, so as to at least solve the problem that the traditional water supply system relies on manual control and management and cannot realize remote monitoring and intelligent scheduling.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, an intelligent multi-level water supply and drainage management and control system is provided, which includes a water level detection device, a pipeline control device, a monitoring main station, a collaborative control device, a pump room control unit, a transparent transmission communication module, a data monitoring and storage unit, a status indication and alarm unit, an optimization control strategy and a video AI analysis technology, wherein the water level detection device and the collaborative control device are linked through wireless communication, the pump room control unit can automatically control according to the set parameters when the communication is interrupted, and the system integrates the peak-avoiding and valley-filling optimization control strategy and the video AI analysis technology.

[0006] Optionally, the water level detection device includes at least two ultrasonic water level meters to improve the detection accuracy and redundancy of the water level in the pre-sedimentation adjustment tank.

[0007] Optionally, the electric butterfly valve of the pipeline control device has a feedback mechanism to monitor the valve switch status and fault conditions in real time.

[0008] Optionally, the monitoring main station has a data processing module that can perform comprehensive analysis on water level information, pipeline status and pump room data to achieve intelligent scheduling.

[0009] Optionally, the peak-avoiding and valley-filling optimization control strategy is combined with a time-of-use electricity price mechanism to adjust the operation plan of the water supply and drainage system through pre-set electricity price sensitivity parameters.

[0010] Optionally, the video AI analysis technology is used to monitor the behavior of operators in real time, and a deep learning algorithm is used to identify potential safety hazards in the behavior of operators monitored in real time.

[0011] According to another aspect of the present application, a control method of an intelligent multi-level water supply and drainage management and control system is provided, the control method comprising:

[0012] Detect the water level of the pre-sedimentation regulating tank by means of a water level detection device;

[0013] Control the opening and closing of the drainage pipeline according to water level information and preset parameters;

[0014] The monitoring master station receives data and sends control instructions, and when communication is interrupted, the pump room control unit automatically controls according to the last set parameters;

[0015] Optimize the operation strategy of water supply and drainage systems in response to time-of-use electricity pricing mechanism.

[0016] Optionally, optimize the operation strategy of the water supply and drainage system, including:

[0017] Get real-time electricity prices;

[0018] The start and stop time of the water pump is dynamically adjusted according to the real-time electricity price.

[0019] Optionally, the control method further includes:

[0020] Video AI analysis technology is used to analyze the surveillance video inside the tunnel to identify and warn of unauthorized entry and unsafe operations.

[0021] According to another aspect of the present application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of the methods described.

[0022] By applying the technical solution of the present application, the water level detection device is linked with the collaborative control device through wireless communication. The pump room control unit can automatically control according to the set parameters when the communication is interrupted, and adopt the peak-avoidance and valley-filling optimization control strategy and video AI analysis technology to control the water supply and drainage. As a result, the present application does not need to rely on manual control and management, and achieves the purpose of remote monitoring and intelligent scheduling, thereby solving the problem that the traditional water supply system relies on manual control and management and cannot achieve remote monitoring and intelligent scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0024] Figure 1 A flow chart of a control method for an intelligent multi-level water supply and drainage management and control system provided according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0025] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] For the convenience of description, some nouns or terms involved in the embodiments of the present application are explained below:

[0029] Video AI analysis technology is a technology that uses artificial intelligence technology to analyze and identify video content. Through video AI analysis technology, functions such as automatic annotation, semantic understanding, object recognition, sentiment analysis, and behavior recognition of video content can be realized, thereby providing support for applications such as video content management, search, recommendation, and security monitoring. This technology can help users better understand and use video content and improve the processing efficiency and intelligence level of video content.

[0030] Peak-shifting is a strategy for managing and dispatching traffic flow. This strategy is usually used to alleviate congestion during peak hours by encouraging people to travel at different times to disperse traffic flow and balance road usage. This strategy can also be applied to other areas, such as electricity and water resources, to achieve the rational allocation and utilization of resources.

[0031] As introduced in the background technology, the traditional water supply system relies on manual control and management, and has problems such as slow response, low efficiency, and poor safety. In order to cope with these problems, some water supply systems have begun to adopt automation and intelligent technologies to improve the operating efficiency and safety of the water supply system. However, there are still some problems with the existing water supply system, such as: it is impossible to achieve remote monitoring and intelligent scheduling; it is impossible to achieve intelligent optimization of energy use; it is impossible to achieve real-time safety behavior monitoring of the water supply system; it is impossible to achieve the fault self-healing ability of the water supply system; it is impossible to achieve real-time interaction between the water supply system and the external environment, etc. In order to solve the problem that the traditional water supply system relies on manual control and management and cannot achieve remote monitoring and intelligent scheduling, the embodiments of the present application provide an intelligent multi-level water supply and drainage management and control system, control method and electronic equipment.

[0032] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0033] An intelligent multi-level water supply and drainage management and control system, the system includes a water level detection device, a pipeline control device, a monitoring main station, a collaborative control device, a pump room control unit, a transparent transmission communication module, a data monitoring and storage unit, a status indication and alarm unit, an optimization control strategy and a video AI analysis technology, wherein the water level detection device and the collaborative control device are linked via wireless communication, the pump room control unit can automatically control according to set parameters when communication is interrupted, and the system integrates a peak-avoidance and valley-filling optimization control strategy and a video AI analysis technology.

[0034] Pipeline control device: equipment used to control the flow, pressure, temperature and other parameters of the pipeline system, usually including valves, actuators, sensors and other components.

[0035] Monitoring main station: a central control device used to monitor and manage the entire system, which can monitor the operating status and alarm information of the pipeline system in real time.

[0036] Collaborative control device: used to coordinate the work between different components or systems, realize the coordinated operation of the entire system, and improve the efficiency and stability of the system.

[0037] Pump room control unit: used to control pumps and other equipment in the pump room, adjust water flow, pressure and other parameters, and ensure normal water supply.

[0038] Transparent transmission communication module: used to realize data transmission and communication between different devices, ensuring that devices can communicate with each other and share information.

[0039] Data monitoring and storage unit: used to monitor, record and store data during the operation of the pipeline system, which can help operators analyze the system operation status and make corresponding adjustments and optimizations.

[0040] In the above system, the water level detection device is linked with the above cooperative control device through wireless communication. The above pump room control unit can automatically control according to the set parameters when the communication is interrupted, and adopt the peak-avoidance and valley-filling optimization control strategy and video AI analysis technology to control the water supply and drainage. Therefore, the present application does not need to rely on manual control and management, and achieves the purpose of remote monitoring and intelligent scheduling, thereby solving the problem that the traditional water supply system relies on manual control and management and cannot achieve remote monitoring and intelligent scheduling.

[0041] This system not only improves the efficiency of water supply and drainage, but also ensures stable operation in complex environments. It is suitable for a variety of scenarios such as urban water supply, sewage treatment, industrial water supply and drainage. Its advantages are more obvious, especially in large-scale water supply and drainage projects that require high-precision control and intelligent scheduling.

[0042] The development of the water supply and drainage system directly studies and upgrades the construction of intelligent systems from single-system control to integrated linkage control of multiple regions, multiple systems, multiple positions, and multiple devices. The whole system realizes automatic switching of water pumps, cascade water supply and drainage, and cascade linkage, eliminating manual intervention operations and replacing the traditional mode of manual operation. The investment in labor costs is reduced, and the reduced personnel are supplemented to other positions for work according to the actual production situation, and the shortage of personnel and labor intensity in other positions are effectively reduced. The peak-to-valley management of mine electricity consumption is realized, and the cost-saving and efficiency-enhancing of electricity prices are achieved. Through video AI analysis technology, an intelligent management system for safety management in safe production business scenarios is developed, including video intelligent analysis AI algorithms based on safe production business scenarios, providing high-precision management services to ensure the personal safety of operators and the safety of public property. Through AI intelligent video technology, 24-hour uninterrupted real-time monitoring, early warning and prejudgment can be achieved, replacing the human tracking supervision and management mode, truly transforming from "human defense" to "technical defense" and from "manual management" to "intelligent management".

[0043] In the safety production business scenario, the video intelligent analysis AI algorithm can identify and analyze video content in real time through surveillance cameras to ensure the personal safety of operators and the safety of public property. The specific process is as follows:

[0044] Video collection: First, the surveillance camera is used to collect real-time video content of the work site, including the behavior of the operators, environmental conditions, etc.

[0045] Video preprocessing: Preprocess the collected video content, including video denoising, image enhancement and other operations, to improve the accuracy and stability of subsequent algorithms.

[0046] Object detection: Object detection algorithms are used to identify various objects in the video, including people, equipment, tools, etc., as well as potential safety hazards such as exposed wires and water leaks.

[0047] Behavior analysis: Combined with deep learning technology, real-time analysis of workers’ behavior, such as whether they are wearing helmets, whether they are using safety equipment correctly, etc., can be used to detect violations in a timely manner.

[0048] Safety warning: Once the system detects a safety hazard or violation, it will immediately issue an alarm through sound or image to remind relevant personnel to deal with it in time to avoid accidents.

[0049] Data storage and analysis: The system will store and analyze the identified data for subsequent safety management and improvement measures.

[0050] Through the above process, the video intelligent analysis AI algorithm can achieve real-time monitoring and accurate early warning in the safe production business scenario, ensuring the personal safety of operators and the safety of public property. At the same time, it can also help enterprises to discover problems and hidden dangers in a timely manner, improve safety management level, and reduce the risk of accidents.

[0051] Regarding the real-time analysis of operators’ behaviors by combining deep learning technology, the specific process is as follows:

[0052] Data collection: The operator’s behavioral data, such as movement trajectory, posture, and action, are collected through sensors or cameras installed on the operator.

[0053] Data preprocessing: Preprocess the collected data, including denoising, data alignment, data calibration, etc., to ensure the accuracy and completeness of the data.

[0054] Feature extraction: Perform feature extraction on the preprocessed data to extract the key features of the operator's behavior, such as movement speed, frequency, acceleration, etc.

[0055] Deep learning model training: Select an appropriate deep learning model, such as a convolutional neural network (CNN) or a recurrent neural network (RNN), and train the model to learn the associations and patterns between different behaviors of operators.

[0056] Behavior recognition: Use the trained deep learning model to perform behavior recognition on the data collected in real time to determine the current behavior of the operator, such as working, resting, standing, etc.

[0057] Behavior analysis: Based on the results of behavior recognition, the behavior of operators is analyzed in real time to detect whether the operators have abnormal behavior or fatigue status, and issue alarms or reminders in time.

[0058] Feedback and optimization: Based on the results of real-time analysis, the deep learning model is optimized and adjusted to improve the accuracy and stability of behavior analysis and continuously optimize system performance and user experience.

[0059] 5000m 3 Two GUC8 ultrasonic water level meters are installed in the pre-sedimentation tank, the gate valve of the drainage pipeline is replaced with four electric butterfly valves, and a PLC monitoring main station is installed. 2000m 3 The collaborative control PLC controller is installed in the water storage room, 5000m 3 The PLC controller of the regulating pool communicates with the 2000m 3 Coordinated controller communication. 2000m 3The collaborative controller exchanges data with the seven drainage pump rooms underground at the same time, so that the pump rooms in each mining area can share resources and link information according to the water level, and the ground and underground drainage systems can be connected with the 5000m 3 The pre-sedimentation regulating tanks are linked to realize supply and drainage on demand.

[0060] The communication module adopts physical layer bit transparent transmission, baud rate 0 ~ 500Kbps adaptive, has nothing to do with the communication protocol, does not require switch settings or any software configuration, and forms various network topologies, such as point-to-point connection, bus connection, star connection and mixed connection.

[0061] The ground operating system is mainly composed of a control platform and PLC, which undertakes functions such as data monitoring, historical data storage, and parameter setting. It can conveniently and intuitively view the operating status and operating parameters of each device, and can also set the operating mode and parameters that need to be adjusted. It has status indication, alarm and voice alarm functions.

[0062] Each underground pump room is mainly composed of PLC and AD modules, which undertake data collection and execution control functions. In the event of communication interruption, it can automatically control the water level according to the water level control parameters set before the communication interruption, and send out alarm signals to prompt maintenance while ensuring normal drainage.

[0063] The switch quantity collected on site directly enters the PLC to participate in process control. The analog quantity collected by each sensor is converted into a digital signal by the A / D module and transmitted to the PLC for further processing and use. After the set operation, the switch quantity and analog quantity collected are processed and output as switch quantity and analog quantity. The output switch quantity and analog quantity control the action of each switch on site, completing the automatic control of the whole process.

[0064] In one embodiment of the present application, the water level detection device includes at least two ultrasonic water level gauges to improve the detection accuracy and redundancy of the water level in the pre-settling regulating tank. This improvement not only reduces the risk of system failure due to single-point failure, but also improves the accuracy of data through multi-point detection. For environments that require precise water level control, such as reservoirs, river monitoring and irrigation systems, it can provide more stable and reliable water level data, effectively avoiding overflow or water shortage problems caused by improper water level control.

[0065] In one embodiment of the present application, the electric butterfly valve of the pipeline control device has a feedback mechanism to monitor the valve switch status and fault conditions in real time. Not only does it enhance the responsiveness of the system, but it also improves maintenance efficiency through real-time fault detection. It is suitable for various industrial process controls that require frequent valve switching, such as chemical plants, power stations, and water treatment plants, ensuring the accuracy and safety of pipeline control and reducing production interruptions and safety accidents caused by valve failures.

[0066] In one embodiment of the present application, the above-mentioned monitoring main station has a data processing module, which can perform comprehensive analysis on water level information, pipeline status and pump room data to realize intelligent scheduling. The system can adjust the operation strategy according to real-time data, improve resource utilization efficiency, and is suitable for scenarios where dynamic adjustment of water supply and drainage plans is required, such as reservoir scheduling to cope with sudden changes in water volume, emergency response of urban water supply systems, and demand fluctuation management in industrial production, ensuring efficient and stable operation of the water supply and drainage system.

[0067] The specific process of intelligent scheduling is as follows:

[0068] Data collection: First, water level information, pipeline status and pump room data will be collected in real time by different sensors and transmitted to the processing module for processing and analysis.

[0069] Data processing: The processing module will pre-process the collected data, including data cleaning, denoising and other operations to ensure the accuracy and reliability of the data.

[0070] Data analysis: The processing module will conduct a comprehensive analysis of the processed data, and conduct in-depth analysis through algorithms and models to obtain the correlation and regularity between key water level information, pipeline status and pump room data.

[0071] Scheduling: Based on the results of data analysis, the processing module will automatically schedule the operating status of the water pump, the opening and closing status of the pipeline, etc. to achieve optimal water level control and pipeline operating status.

[0072] Real-time monitoring: The processing module will monitor the changes in water level information, pipeline status and pump room data in real time, and adjust the scheduling strategy in time to ensure stable operation and optimal performance of the system.

[0073] Through the above process, the processing module can realize the intelligent scheduling of water level information, pipeline status and pump room data, improve the efficiency and reliability of the system, and ensure the normal operation of the water conservancy system.

[0074] In one embodiment of the present application, the above peak-avoidance and valley-filling optimization control strategy is combined with the time-of-use electricity price mechanism, and the operation plan of the water supply and drainage system is adjusted through the pre-set electricity price sensitivity parameters. This strategy not only reduces the operating cost, but also promotes the rational allocation of power resources. It is suitable for areas or industries with high electricity costs, such as data centers, large commercial complexes and manufacturing industries. Through intelligent scheduling, a large number of water supply and drainage operations are carried out during the low electricity price period, which effectively reduces electricity bill expenditure and avoids additional pressure on the power grid during peak periods.

[0075] When the electricity price is high, the pumps of the first-level drainage system are activated less frequently, and when the electricity price is low, they are activated more frequently. Compared with the first-level drainage system, the second-level drainage system has more pumps activated, in order to discharge the sewage transported from the first-level drainage system to the next level as quickly as possible. When the electricity price is high, the pumps of the second-level drainage are activated less frequently, and when the electricity price is low, they are activated more frequently. Compared with the second-level drainage system, the third-level drainage system has more pumps activated, in order to transport the sewage discharged from the second-level drainage system in a timely manner. When the electricity price is high, the pumps of the third-level drainage are also activated less frequently, and when the electricity price is low, they are activated more frequently. Since it is the last-level drainage system, it receives the sewage from the two levels above, and has the most pumps activated.

[0076] Changes in the water tank capacity of the first-level drainage system: the water tank is in a high-capacity state when the electricity price is high, and in a low-capacity state when the electricity price is low, and it has never exceeded the upper limit of capacity. Changes in the water tank capacity of the second-level drainage system: the water tank is in a high-capacity state when the electricity price is high, and in a low-capacity state when the electricity price is low. The change is more obvious than the first level, but it has never exceeded the upper limit of capacity. Changes in the water tank capacity of the third-level drainage system, we can see that the water tank is in a high-capacity state when the electricity price is high, and in a low-capacity state when the electricity price is low. The change is more obvious than the second level, but it has never exceeded the upper limit of capacity.

[0077] In one embodiment of the present application, the video AI analysis technology is used to monitor the behavior of operators in real time, and a deep learning algorithm is used to identify potential safety hazards in the behavior of operators monitored in real time. The application of this technology not only improves the safety of the work site, but also provides real-time warnings. It is suitable for various environments that require strict safety monitoring, such as mines, tunnel construction, and hazardous chemical processing. Through intelligent identification and warning, unsafe behaviors can be discovered and handled in a timely manner, effectively preventing the occurrence of safety accidents, and ensuring the safety of personnel and smooth production.

[0078] In this embodiment, a control method for an intelligent multi-level water supply and drainage control system is provided. Figure 1 FIG. 1 is a flow chart of a control method of an intelligent multi-level water supply and drainage control system provided according to an embodiment of the present application. Figure 1 As shown, the method comprises the following steps:

[0079] Step S101, detecting the water level of the pre-sedimentation regulating tank by a water level detection device;

[0080] Step S102, controlling the opening and closing of the drainage pipeline according to the water level information and preset parameters;

[0081] Step S103, the monitoring master station receives data and sends control instructions, and when the communication is interrupted, the pump room control unit automatically controls according to the last set parameters;

[0082] Step S104, optimizing the operation strategy of the water supply and drainage system to respond to the time-of-use electricity price mechanism.

[0083] In the above steps, the water level of the pre-sedimentation regulating tank is detected by a water level detection device, and the opening and closing of the drainage pipeline is controlled according to the water level information and preset parameters. The monitoring main station receives data and sends control instructions. When the communication is interrupted, the pump room control unit automatically controls according to the last set parameters, optimizes the operation strategy of the water supply and drainage system to respond to the time-of-use electricity price mechanism, so that the present application does not need to rely on manual control and management, and achieves the purpose of remote monitoring and intelligent scheduling, thereby solving the problem that the traditional water supply system relies on manual control and management and cannot achieve remote monitoring and intelligent scheduling.

[0084] It not only realizes the automated control of water supply and drainage, but also ensures the continuous operation of the system in the event of communication failure. It is suitable for water supply and drainage management in various complex network environments, such as water conservancy facilities in remote areas, water supply and drainage systems on offshore platforms, and rainwater recycling in large building complexes, ensuring the efficient, stable and safe operation of the water supply and drainage system.

[0085] The operation strategy of optimizing the water supply and drainage system in step S104 includes:

[0086] Get real-time electricity prices;

[0087] According to the above real-time electricity price, the start and stop time of the water pump is dynamically adjusted.

[0088] Specifically, the operation strategy of optimizing the water supply and drainage system includes dynamically adjusting the start and stop time of the water pump to make full use of the low electricity price period for drainage and achieve energy conservation. This strategy not only reduces operating costs, but also improves energy efficiency. It is suitable for water supply and drainage systems that require a lot of electricity consumption, such as large-scale farmland irrigation, urban water supply and sewage treatment plants. Through intelligent scheduling, high-load operation is carried out during the low electricity price period, which effectively reduces electricity bills. At the same time, it is friendly to the environment and responds to the call for green development.

[0089] In one embodiment of the present application, the control method further includes:

[0090] Video AI analysis technology is used to analyze the internal surveillance video of the tunnel to identify and warn of unauthorized entry and unsafe operations.

[0091] Specifically, by using video AI analysis technology to analyze the internal monitoring video of the tunnel, unauthorized entry and unsafe operation behaviors can be identified and warned, thereby achieving the purpose of remote monitoring and intelligent scheduling, and thus solving the problem that the traditional water supply system relies on manual control and management and cannot achieve remote monitoring and intelligent scheduling. It not only enhances the safety management of the site, but also prevents potential accidents. It is suitable for various underground projects that require strict safety management, such as subway construction, mining and underground cable laying. Through intelligent early warning, safety hazards can be discovered and dealt with in a timely manner, ensuring the smooth progress of the project and the safety of personnel.

[0092] The present application also provides an electronic device, the electronic device comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include a method for executing any of the above methods. The water level of the pre-sedimentation regulating tank is detected by a water level detection device, and the opening and closing of the drainage pipeline is controlled according to the water level information and preset parameters. The monitoring main station receives data and sends control instructions, and when the communication is interrupted, the pump room control unit automatically controls according to the last set parameters, optimizes the operation strategy of the water supply and drainage system to respond to the time-of-use electricity price mechanism, so that the present application does not need to rely on manual control and management, and achieves the purpose of remote monitoring and intelligent scheduling, thereby solving the problem that the traditional water supply system relies on manual control and management and cannot achieve remote monitoring and intelligent scheduling.

[0093] The development of the water supply and drainage system directly studies and upgrades the construction of intelligent systems from single-system control to integrated linkage control of multiple regions, multiple systems, multiple positions, and multiple devices. The whole system realizes automatic switching of water pumps, cascade water supply and drainage, and cascade linkage, eliminating manual intervention operations and replacing the traditional mode of manual operation. The investment in labor costs is reduced, and the reduced personnel are supplemented to other positions for work according to the actual production situation, and the shortage of personnel and labor intensity in other positions are effectively reduced. The peak-to-valley management of mine electricity consumption is realized, and the cost-saving and efficiency-enhancing of electricity prices are achieved. Through video AI analysis technology, an intelligent management system for safety management in safe production business scenarios is developed, including video intelligent analysis AI algorithms based on safe production business scenarios, providing high-precision management services to ensure the personal safety of operators and the safety of public property. Through AI intelligent video technology, 24-hour uninterrupted real-time monitoring, early warning and prejudgment can be achieved, replacing the human tracking supervision and management mode, truly transforming from "human defense" to "technical defense" and from "manual management" to "intelligent management".

[0094] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0095] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0096] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0097] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0099] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0100] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0101] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0102] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0103] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0104] 1) The intelligent multi-level water supply and drainage management and control system of the present application is linked with the above-mentioned collaborative control device through wireless communication through a water level detection device. The above-mentioned pump room control unit can automatically control according to the set parameters when the communication is interrupted, and adopts peak-avoidance and valley-filling optimization control strategy and video AI analysis technology for water supply and drainage control, so that the present application does not need to rely on manual control and management, and achieves the purpose of remote monitoring and intelligent scheduling, thereby solving the problem that traditional water supply systems rely on manual control and management and cannot achieve remote monitoring and intelligent scheduling.

[0105] 2) The control method of the intelligent multi-level water supply and drainage control system of the present application detects the water level of the pre-sedimentation regulating tank through a water level detection device, controls the opening and closing of the drainage pipeline according to the water level information and preset parameters, receives data at the monitoring main station and sends control instructions, and when the communication is interrupted, the pump room control unit automatically controls according to the last set parameters, optimizes the operation strategy of the water supply and drainage system to respond to the time-of-use electricity price mechanism, so that the present application does not need to rely on manual control and management, and achieves the purpose of remote monitoring and intelligent scheduling, thereby solving the problem that the traditional water supply system relies on manual control and management and cannot achieve remote monitoring and intelligent scheduling.

[0106] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An intelligent multi-level water supply and drainage control system, characterized in that: It includes a water level detection device, a pipeline control device, a monitoring main station, a collaborative control device, a pump room control unit, a transparent transmission communication module, a data monitoring and storage unit, a status indication and alarm unit, an optimization control strategy and a video AI analysis technology. The water level detection device and the collaborative control device are linked via wireless communication. The pump room control unit can automatically control according to the set parameters when the communication is interrupted, and the system integrates the peak-avoidance and valley-filling optimization control strategy and the video AI analysis technology.

2. The intelligent multi-level water supply and drainage control system according to claim 1 is characterized in that: The water level detection device includes at least two ultrasonic water level meters to improve the detection accuracy and redundancy of the water level in the pre-sedimentation regulating tank.

3. The intelligent multi-level water supply and drainage control system according to claim 1 is characterized in that: The electric butterfly valve of the pipeline control device has a feedback mechanism to monitor the valve switch state and fault conditions in real time.

4. The intelligent multi-level water supply and drainage control system according to claim 1 is characterized in that: The monitoring main station has a data processing module that can perform comprehensive analysis on water level information, pipeline status and pump room data to achieve intelligent scheduling.

5. The intelligent multi-level water supply and drainage control system according to claim 1 is characterized in that: The peak-avoidance and valley-filling optimization control strategy combines the time-of-use electricity price mechanism and adjusts the operation plan of the water supply and drainage system through pre-set electricity price sensitivity parameters.

6. The intelligent multi-level water supply and drainage control system according to claim 1 is characterized in that: The video AI analysis technology is used to monitor the behavior of operators in real time, and uses a deep learning algorithm to identify potential safety hazards in the behavior of operators monitored in real time.

7. A control method for an intelligent multi-level water supply and drainage control system, characterized in that: include: Detect the water level of the pre-sedimentation regulating tank by means of a water level detection device; Control the opening and closing of the drainage pipeline according to water level information and preset parameters; The monitoring master station receives data and sends control instructions, and when communication is interrupted, the pump room control unit automatically controls according to the last set parameters; Optimize the operation strategy of water supply and drainage systems in response to time-of-use electricity pricing mechanism.

8. The method according to claim 7, characterized in that Optimize the operation strategy of water supply and drainage system, including: Get real-time electricity prices; The start and stop time of the water pump is dynamically adjusted according to the real-time electricity price.

9. The method according to claim 7, characterized in that: The control method further comprises: Video AI analysis technology is used to analyze the surveillance video inside the tunnel to identify and warn of unauthorized entry and unsafe operations.

10. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of claims 7 to 9.

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