Management system based on internet of things pump station

Abstract

The invention discloses a management system based on an internet-of-things pump station, and relates to the field of water conservancy projects. Comprising a physical sensing layer which is responsible for sensing the operation state and environmental parameters of the pump station in an all-around manner; the edge control layer is located on the site of the pump station and is responsible for real-time data acquisition, preprocessing, local logic execution, emergency control and upper layer communication; the cloud platform layer is deployed on a public cloud or private cloud server; the user interaction layer provides an operation interface for interaction among the system, an administrator and an operator; and the network transmission layer is responsible for constructing a reliable data channel between the physical sensing layer and the cloud platform layer, and the physical sensing layer comprises a water pump operation state sensing module for sensing the working state, the operation time and the electrical and mechanical parameters of the water pump in real time. The system has the advantages of high automation, accurate monitoring, intelligent alarm and remote control functions, and the management efficiency is remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of hydraulic engineering, and in particular to a management system of a pump station based on Internet of Things. BACKGROUND

[0002] In scenarios such as mountainous areas, mining areas, agricultural irrigation, forest management, and emergency water supply, it is often necessary to lift water from low-lying water sources such as river streams at the foot of a mountain or reservoirs to a water storage pool or water use point located on a mountain. The traditional management method of pump stations has the following disadvantages:

[0003] High cost and low efficiency of manual inspection: personnel need to frequently go back and forth between the pump station and the pool to check the operation status of the water pump, the water level of the pool, the pipeline pressure, etc., which is difficult and risky, especially in remote mountainous areas or bad weather.

[0004] Information lag and inaccuracy: manual reading is prone to errors, and key parameters such as water level and flow cannot be obtained in real time, resulting in inaccurate water quantity scheduling and pool state judgment.

[0005] Slow fault response: problems such as unexpected shutdown of water pumps, pipeline rupture, pool overflow, or emptying are not discovered in time, which can cause equipment damage, water resource waste, and even safety accidents (such as damage to water pumps due to emptying of empty pools, and soil erosion caused by pool overflow).

[0006] Extensive management and high energy consumption: it is not possible to perform fine start-stop control according to real-time demand (such as pool water level and water source condition), and it is often operated based on experience, which can easily cause excessive water pumping or water supply interruption and serious energy waste.

[0007] Lack of remote control capability: remote shutdown or start cannot be achieved in emergency situations, and management flexibility is poor.

[0008] Therefore, the present application proposes a management system of a pump station based on Internet of Things SUMMARY

[0009] The present application aims to solve the problems in the prior art and proposes a management system of a pump station based on Internet of Things.

[0010] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0011] A management system of a pump station based on Internet of Things, comprising:

[0012] A physical sensing layer responsible for omnidirectional sensing of pump station operation status and environmental parameters;

[0013] An edge control layer located at the pump station site, responsible for real-time data acquisition, preprocessing, local logic execution, emergency control, and communication with the upper layer;

[0014] Cloud platform layer, the cloud platform layer is deployed on a public cloud or a private cloud server;

[0015] User interaction layer, the user interaction layer provides an operation interface for interaction between the system and administrators and operators;

[0016] Network transmission layer, the network transmission layer is responsible for building a reliable data channel between the physical sensing layer and the cloud platform layer.

[0017] Preferably, the physical sensing layer comprises:

[0018] A water pump operating state sensing module, which senses the working state, running time, electrical and mechanical parameters of the water pump in real time;

[0019] A flow metering module, which measures the instantaneous flow and cumulative flow of water pumped from the water source to the water storage pool;

[0020] A pool water level monitoring module, which measures the water level of the pool in real time, and accurately determines whether the pool is full, close to the empty water level or the set target water level;

[0021] A pipeline pressure monitoring module, which monitors the pressure at the outlet of the water pump, key nodes or the end of the pipeline;

[0022] An environmental parameter module, which monitors the environmental parameter information of the pump house.

[0023] Preferably, the water pump operating state sensing module comprises:

[0024] A current sensor, which is connected in series to the power line of the water pump motor, detects the real-time working current of the water pump;

[0025] A voltage sensor, which is connected in parallel to the input of the water pump motor, detects the real-time working voltage of the water pump;

[0026] A power sensor, which is integrated in the electrical cabinet of the water pump motor, can directly read the real-time active power and cumulative power consumption of the water pump;

[0027] A temperature sensor, which is installed on the surface of the water pump motor and the bearing seat, monitors the motor winding temperature and bearing temperature in real time.

[0028] Preferably, the flow metering module is an electromagnetic flowmeter or an ultrasonic flowmeter, which is installed on the pipeline at the outlet of the water pump and used to monitor the water flow of the water pump.

[0029] Preferably, the pool water level monitoring module is a static pressure liquid level meter or an ultrasonic / radar liquid level meter.

[0030] Preferably, the environmental parameter module comprises:

[0031] A temperature and humidity sensor;

[0032] Water immersion sensor

[0033] Door magnet / intrusion sensor

[0034] Preferably: the edge control layer includes an edge computing control unit ECU and an actuator driving module.

[0035] Preferably: the computing control unit ECU includes:

[0036] Data acquisition and signal conditioning module, through I / O interface, receives all original signals from the physical sensing layer, built-in A / D converter and signal conditioning circuit, converts sensor signals into digital quantities recognizable by the controller.

[0037] Data processing and local storage module, filters, smooths, calibrates range, and converts units for raw data.

[0038] Communication protocol stack, built-in industrial standard protocol and network interface, used for stable and reliable data interaction with the sensor and the cloud platform layer.

[0039] Preferably: the cloud platform layer includes:

[0040] Data receiving and storage module, through MQTT Broker, API Gateway or message queue, receives data packets uploaded from the pump station ECU, after data analysis, format verification, stores in the corresponding library table according to the time series database or relational database structure requirements, storage content includes real-time sampling data, alarm event log, device state history, operation record;

[0041] Data processing and analysis module, which cleans and standardizes data, filters invalid data, identifies and completes missing values, unifies timestamp format, and calculates daily, weekly, monthly, and annual pumping volume, power consumption, running time, and start-stop times and generates statistical reports;

[0042] Remote control instruction processing module, which receives, verifies and forwards remote control instructions issued by users through the interaction layer, receives control instructions from user APP or Web, after security verification, converts the instructions into a format recognizable by the ECU, transmits them to the target pump station edge ECU through the network transmission layer, monitors the instruction execution status, and feeds back the results to the user;

[0043] Alarm management and push module, which identifies device alarm / fault / abnormal state and pushes to the administrator;

[0044] Visual management and report module, which presents complex data to users in the form of intuitive charts, maps, panels, etc.

[0045] Preferably: the working logic of the Internet of Things-based pump station management system is as follows:

[0046] S1: data acquisition, preprocessing and judgment, the sensors of the physical sensing layer continuously perceive the physical state of the pump station, the sensor data is transmitted to the edge computing control unit ECU, the ECU performs digitization, filtering and calibration processing of the signal, and then the ECU controls according to the locally preset core control logic;

[0047] S2: data transmission, the ECU encapsulates local data into a protocol through its built-in remote communication module, and uploads it to the cloud platform layer;

[0048] S3: cloud processing and control instruction transmission, after the cloud data receiving module receives the data, it is stored in the time sequence database. The data processing module performs real-time calculation and stores historical data;

[0049] S4: remote instruction processing, the administrator initiates an instruction on the mobile phone APP or Web platform, the APP / Web sends the instruction to the cloud platform layer, the platform verifies the user identity and authority, and after verification, the platform sends the instruction to the ECU of the target pump station through MQTT;

[0050] S5: remote instruction execution, the ECU receives the instruction from the cloud platform layer and controls according to the instruction, and at the same time feeds back the execution result to the APP / Web interface of the user.

[0051] The beneficial effects of the present application are:

[0052] The present application has the following advantages:

[0053] High automation: realize automatic control of water tank level start and stop, reduce manual intervention, and greatly reduce operating costs.

[0054] Precise monitoring and intelligent alarm: remotely monitor the water pump running state, accurately measure the water pumping volume, monitor the water tank water level, and alarm in the first time of abnormal situation, and ensure system safety.

[0055] Remote control function, so that the administrator can control the water pump without going to the scene in emergency, maintenance operation or according to the scheduling plan, improve the response speed and management flexibility, especially for mountainous pump stations with steep roads and inconvenient transportation.

[0056] Significant improvement of management efficiency: realize centralized monitoring and management of multi-point pump stations through unified cloud platform and mobile APP, reduce inspection intensity and frequency, and improve management efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 A working logic diagram of an Internet of Things-based pump station management system is proposed. DETAILED DESCRIPTION

[0058] The technical solutions of the present application will be further described in detail below in combination with the specific embodiments.

[0059] In the description of the present application, it should be noted that unless explicitly defined and limited, the terms "mounting", "connection", "linking", "setting" should be understood in a broad sense, for example, it can be fixedly connected, set, or detachably connected, set, or integrally connected, set. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0060] Embodiment 1:

[0061] A management system based on an Internet of Things pump station, comprising:

[0062] A physical sensing layer responsible for all-round sensing of pump station operating state and environmental parameters;

[0063] An edge control layer located at the pump station site, responsible for real-time data acquisition, preprocessing, local logic execution, emergency control and communication with the upper layer;

[0064] A cloud platform layer deployed on a public cloud or private cloud server;

[0065] A user interaction layer providing an operation interface for interaction between the system and administrators and operators;

[0066] A network transmission layer responsible for building a reliable data channel between the physical sensing layer and the cloud platform layer.

[0067] The physical sensing layer comprises:

[0068] A water pump operating state sensing module for real-time sensing of the working state (running / stop / standby) of the water pump, operating time, electrical and mechanical parameters;

[0069] A flow metering module for measuring the instantaneous flow and cumulative flow of water from the water source (mountain foot) to the water storage tank (mountain top);

[0070] A water tank water level monitoring module for real-time measurement of the water level of the water storage tank at the mountain top, accurate determination of whether the water tank is full, close to the empty water level or the set target water level;

[0071] A pipeline pressure monitoring module for monitoring the pressure at the water pump outlet, key nodes or pipeline end (mountain top water tank inlet);

[0072] An environmental parameter module for monitoring the environmental parameter information of the pump house.

[0073] The water pump operating state sensing module comprises:

[0074] A current sensor is connected in series to the power line of the water pump motor to detect the real-time working current of the water pump;

[0075] A voltage sensor is connected in parallel to the input of the water pump motor to detect the real-time working voltage of the water pump;

[0076] A power sensor is integrated in the electrical cabinet of the water pump motor to directly read the real-time active power and cumulative power consumption of the water pump;

[0077] A temperature sensor is installed on the surface of the water pump motor and the bearing seat to monitor the motor winding temperature and bearing temperature in real time, preventing insulation aging or bearing seizure caused by overheating.

[0078] The flow metering module is an electromagnetic flow meter or an ultrasonic flow meter, which is installed on the pipeline at the outlet of the water pump and used to monitor the water flow of the water pump.

[0079] The water tank level monitoring module is a static pressure liquid level meter or an ultrasonic / radar liquid level meter, wherein:

[0080] The static pressure liquid level meter is installed at the bottom of the water storage tank (immersed type) or the top (non-contact type, measuring the pressure difference of the gas column above), which indirectly calculates the water level height (h) by measuring the static water pressure (P = ρgh) generated by the water column;

[0081] The ultrasonic / radar liquid level meter is installed at the top of the water storage tank, which emits ultrasonic or microwave pulses to the water surface and receives the reflected waves, and determines the distance from the sensor to the liquid surface by calculating the time difference of the sound wave / electromagnetic wave, thereby converting the water level height.

[0082] The pipeline pressure monitoring module is installed on the pipeline at the pressure point to be measured (through a pressure tapping). Strain gauges, ceramic piezoresistors, and capacitive technologies are used to convert the measured pressure into standard electrical signals. It is used to monitor whether the water pump lift meets the expectations (low pressure may cause blockage or leakage; high pressure may cause overpressure risk), and to evaluate the resistance of the pipeline system.

[0083] The environmental parameter module comprises:

[0084] A temperature and humidity sensor monitors the temperature and humidity of the pump room environment to determine whether there are conditions such as condensation or high temperature that are not conducive to electrical equipment;

[0085] A water immersion sensor is installed at the lowest point of the pump room floor or in the cable trench to detect whether there is water accumulation (leakage or flood intrusion) in the pump room to protect the safety of electrical equipment;

[0086] A door magnetic / intrusion sensor is installed on the doors and windows of the pump room to monitor whether there is illegal entry and provide security functions.

[0087] The edge control layer comprises an edge computing control unit ECU and an actuator driving module.

[0088] The computing control unit ECU comprises:

[0089] A data acquisition and signal conditioning module receives all original signals (current, voltage, pressure, liquid level, temperature, etc.) from the physical sensing layer through an I / O interface (analog input AI, digital input DI, pulse input PI), and converts the sensor signals into digital quantities recognizable by the controller through built-in A / D converters and signal conditioning circuits (filtering, amplification, isolation).

[0090] A data processing and local storage module filters (removes noise), smooths, calibrates the range, and converts units (such as converting 4-20mA current to actual water level value, pressure value) for the original data. The latest key operating data is cached in the local non-volatile memory, and the control logic continues to execute and data recovery capability is ensured when the network is interrupted;

[0091] A communication protocol stack, built-in industrial standard protocols (such as Modbus RTU / TCP, MQTT, CoAP) and network interfaces (4G / 5G, NB-IoT, LoRaWAN, Ethernet), for stable and reliable data interaction with sensors and cloud platform layer.

[0092] The computing control unit ECU has built-in pool water level control logic and water pump protection control logic.

[0093] Pool water level control logic: continuously receives and processes liquid level meter data, and controls the start and stop of the water pump according to the preset logic:

[0094] Start condition: when the water level of the top storage tank is lower than the preset start water level lower limit value, and the water source is sufficient (which can be judged based on other sensors), and the water pump state is normal (no fault alarm), the water pump is started.

[0095] Stop condition: when the water level of the top storage tank reaches the preset full water level upper limit value, the water pump is stopped.

[0096] Water pump protection control logic: continuously monitor motor current, temperature and other parameters during operation.

[0097] If the operating current exceeds the preset overload threshold or the motor temperature exceeds the safety limit, an emergency stop is triggered and an alarm is generated.

[0098] If the water level in the pool is extremely low (lower than the ultra-low liquid level to prevent the water pump from running empty and being damaged), the start is prohibited, or if it is running, it is immediately stopped.

[0099] If the mechanical failure of the water pump (such as abnormal vibration, abnormal sound) is detected beyond the set threshold, an alarm is given and shutdown is recommended or directly stopped according to the strategy.

[0100] The cloud platform layer comprises:

[0101] The data receiving and storage module receives data packets uploaded from the pump station ECU through MQTT Broker, API Gateway or message queue (such as Kafka), parses and formats the data (anti-tampering), and stores it in the corresponding database table according to the structure requirements of time series database (such as InfluxDB, TimescaleDB) or relational database (such as MySQL, PostgreSQL), including real-time sampling data, alarm event log, device state history, operation record;

[0102] The data processing and analysis module filters invalid data, identifies and completes missing values, unifies timestamp format, and calculates daily, weekly, monthly, and annual pumping volume, power consumption, running time, and start-stop times to generate statistical reports (water volume report, energy consumption report);

[0103] The remote control instruction processing module receives, verifies and forwards remote control instructions sent by users through the interaction layer, receives control instructions (such as "shutdown", "startup", "parameter setting") from user APP or Web, performs security verification (user identity authentication, permission check, operation compliance judgment), and converts the instructions into a format (such as MQTT message with specific topic) that the ECU can recognize, and transmits it to the target pump station edge ECU through the network transmission layer, monitors the instruction execution status, and feeds back the result to the user;

[0104] The alarm management and push module identifies device alarm / fault / abnormal state and pushes it to the administrator;

[0105] The visual management and report module presents complex data to users in the form of intuitive charts, maps, panels, etc.

[0106] Example 2:

[0107] The working logic of a management system based on Internet of Things pump station is as follows:

[0108] S1: Data acquisition, preprocessing and judgment, the sensors (flow meter, liquid level meter, current transformer, temperature probe, etc.) of the physical sensing layer continuously sense the physical state (flow Q, water level H, current I, temperature T, pressure P, etc.) of the pump station, the sensor data is transmitted to the edge computing control unit ECU, the ECU performs digitization, filtering and calibration of the signal, and then the ECU controls according to the local preset core control logic;

[0109] S2: Data transmission, the ECU encapsulates the local data into a protocol (such as MQTT) through its built-in remote communication module (such as 4G / NB-IoT) and uploads it to the cloud platform layer;

[0110] S3: Cloud processing and control instruction transmission, after the cloud data receiving module receives the data, it is stored in the time sequence database. The data processing module performs real-time calculation (average flow, daily water volume) and stores historical data;

[0111] S4: Remote instruction processing, the administrator initiates an instruction on the mobile phone APP or Web platform, the APP / Web sends the instruction to the cloud platform layer, the platform verifies the user's identity and authority, and after verification, the platform transmits the instruction to the ECU of the target pump station through MQTT;

[0112] S5: Remote instruction execution, the ECU receives the instruction from the cloud platform layer and controls according to the instruction, and at the same time, the execution result is fed back to the APP / Web interface of the user.

[0113] The above is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can make equivalent replacement or change according to the technical solution and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A management system for pump stations based on the Internet of Things, characterized in that, include: The physical sensing layer is responsible for comprehensively sensing the operating status and environmental parameters of the pumping station. The edge control layer is located at the pump station site and is responsible for real-time data acquisition, preprocessing, local logic execution, emergency control, and communication with the upper layer. The cloud platform layer is deployed on public or private cloud servers. The user interaction layer provides the user interface for interaction between the system and administrators and operators. The network transport layer is responsible for building a reliable data channel between the physical sensing layer and the cloud platform layer.

2. The management system for an IoT-based pump station according to claim 1, characterized in that, The physical sensing layer includes: The water pump operation status sensing module can sense the water pump's operating status, running time, and electrical and mechanical parameters in real time. The flow metering module measures the instantaneous and cumulative flow of water pumped from the water source to the storage tank. The water level monitoring module measures the water level of the mountaintop reservoir in real time, accurately determining whether the reservoir is full, close to the empty water level, or a set target water level. Pipeline pressure monitoring module monitors the pressure at the pump outlet, key nodes, or the end of the pipeline. The environmental parameter module monitors the environmental parameter information of the pump room.

3. The management system for an IoT-based pumping station according to claim 2, characterized in that, The water pump operating status sensing module includes: A current sensor, connected in series with the power line of the water pump motor, detects the real-time operating current of the water pump. A voltage sensor, connected in parallel to the input electronics of the water pump motor, detects the real-time operating voltage of the water pump. The power sensor, integrated in the electrical cabinet of the water pump motor, can directly read the real-time active power and cumulative power consumption of the water pump. Temperature sensors are installed on the surface of the water pump motor and at the bearing housing to monitor the motor winding temperature and bearing temperature in real time.

4. The management system for an IoT-based pump station according to claim 2, characterized in that, The flow metering module is an electromagnetic flow meter or an ultrasonic flow meter, which is installed on the pipe at the outlet of the water pump and is used to monitor the water flow rate of the water pump.

5. A management system for an IoT-based pump station according to claim 2, characterized in that, The water level monitoring module for the pool is a hydrostatic level gauge or an ultrasonic / radar level gauge.

6. A management system for an IoT-based pumping station according to claim 2, characterized in that, The environmental parameter module includes: Temperature and humidity sensor; Water immersion sensor; Door magnetic / intrusion sensor.

7. The management system for an IoT-based pumping station according to claim 1, characterized in that, The edge control layer includes an edge computing control unit (ECU) and an actuator drive module.

8. A management system for an IoT-based pumping station according to claim 7, characterized in that, The computing control unit (ECU) includes: The data acquisition and signal conditioning module receives all raw signals from the physical sensing layer through the I / O interface. It has a built-in A / D converter and signal conditioning circuit to convert the sensor signals into digital quantities that the controller can recognize. The data processing and local storage module performs filtering, smoothing, range calibration, and unit conversion on the raw data. The communication protocol stack has built-in industry-standard protocols and network interfaces for connecting to sensors and conducting stable and reliable data interaction with the cloud platform layer.

9. A management system for an IoT-based pump station according to claim 7, characterized in that, The cloud platform layer includes: The data receiving and storage module receives data packets uploaded from the pump station ECU through MQTT Broker, API Gateway or message queue. After parsing and format verification, the data is stored in the corresponding database table according to the structural requirements of time series database or relational database. The stored content includes real-time sampling data, alarm event logs, equipment status history and operation records. The data processing and analysis module cleans and standardizes data to filter invalid data, identifies and completes missing values, standardizes timestamp format, and calculates daily, weekly, monthly, and yearly water pumping volume, power consumption, runtime, number of start-stop cycles, and generates statistical reports. The remote control command processing module receives, verifies, and forwards remote control commands sent by the user through the interaction layer. It receives control commands sent by the user's APP or Web terminal, performs security verification, converts the commands into a format that the ECU can recognize, and sends them to the edge ECU of the target pump station through the network transmission layer. It monitors the command execution status and feeds back the results to the user. The alarm management and push module identifies equipment alarms / faults / abnormal states and pushes them to administrators. The visualization management and reporting module presents complex data to users in the form of intuitive charts, maps, panels, and other formats.

10. A management system for an IoT-based pumping station according to any one of claims 1-9, characterized in that, The working logic of the IoT-based pump station management system is as follows: S1: Data acquisition, preprocessing and judgment. The sensors in the physical sensing layer continuously sense the physical state of the pump station. The sensor data is transmitted to the edge computing control unit (ECU). The ECU performs signal digitization, filtering and calibration. Then the ECU performs control according to the locally preset core control logic. S2: Data transmission. The ECU encapsulates local data packets into a protocol and uploads them to the cloud platform layer through its built-in remote communication module. S3: Cloud-based processing and control command transmission. After receiving data, the cloud data receiving module stores it in the time-series database. The data processing module performs real-time calculations and stores historical data. S4: Remote command processing. The administrator initiates commands on the mobile APP or Web platform. The APP / Web sends the commands to the cloud platform layer. The platform verifies the user's identity and permissions. After successful verification, the platform sends the commands to the ECU of the target pump station via MQTT. S5: Remote command execution. The ECU receives commands from the cloud platform and performs control according to the commands, while feeding back the execution results to the user's APP / Web interface.

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