An intelligent control system for gate hoist

Abstract

The invention discloses an intelligent control system for a gate opening and closing machine, which relates to the field of automatic control technology and solves the technical problem that the working environment of the gate is not taken into consideration in the prior art during the gate control process and the linkage control with the surrounding environment cannot be realized, resulting in low gate control efficiency. The invention analyzes the environmental data of the target area in the gate distribution map to obtain environmental labels, combines the environmental labels with water level data to generate an intelligent adjustment strategy, and after the intelligent terminal verifies the intelligent adjustment strategy, controls the driving motor through the gate controller to realize the intelligent control of the gate, thereby reducing the pressure on the staff and improving the control efficiency of the gate. The invention establishes a gate distribution map through a cloud platform, timely displays the relevant data of each gate in the gate distribution map, and timely warns the set warning conditions, so that the staff can remotely monitor the status of each gate, reduce a large amount of patrol work, and improve safety.

Description

Technical Field

[0001] The invention belongs to the field of automatic control, and relates to an intelligent control technology for a gate hoist, in particular to an intelligent control system for a gate hoist. Background Art

[0002] A sluice is a type of hydraulic engineering structure commonly used in water conservancy hubs for both water retaining and water discharge. It relies on gates that can be raised and lowered to control water levels and adjust the discharge volume, thereby achieving the purpose of water retaining or water discharge. It is widely used in water conservancy projects such as flood control, irrigation, drainage, and shipping.

[0003] The prior art (invention patent with publication number CN110554655A) discloses an intelligent hydraulic flood control gate and its control system, which controls the flood control gate in stages according to the actual monitored water level upstream and the actual monitored water flow of downstream flood discharge, and adjusts the opening height and state of the flood control gate in real time. The prior art does not take the working environment of the gate into consideration during the gate control process, and cannot realize linkage control with the surrounding environment, resulting in low gate control efficiency; therefore, there is an urgent need for an intelligent control system for the gate hoist. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an intelligent control system for a gate opening and closing machine, which is used to solve the technical problem that the prior art does not take the working environment of the gate into consideration during the gate control process and cannot achieve linkage control with the surrounding environment, resulting in low gate control efficiency.

[0005] The present invention establishes a gate distribution map through a cloud platform, analyzes the environmental data of the target area in the gate distribution map to obtain environmental tags, combines the environmental tags with the water level data to generate an intelligent adjustment strategy, and after the intelligent terminal verifies the intelligent adjustment strategy, controls the drive motor through the gate controller to achieve intelligent control of the gate, thereby reducing the pressure on staff and improving the control efficiency of the gate.

[0006] To achieve the above-mentioned object, the first aspect of the present invention provides an intelligent control system for a gate hoist, comprising a cloud platform, and a gate controller and an intelligent terminal connected thereto, wherein the gate controller is connected to a power supply module, a drive motor and a collection sensor;

[0007] Cloud platform: establishing a gate distribution map based on the geographic data of the monitoring area, obtaining environmental data of the target area in the gate distribution map, and analyzing the environmental data to generate environmental tags; and

[0008] Combining the environmental tag with the water level data to generate an intelligent adjustment strategy, and sending the intelligent adjustment strategy to the intelligent terminal;

[0009] Gate controller: connected to the driving motor in a one-to-one correspondence; collects the water level data of the gate in real time through the collection sensor and uploads it to the cloud platform; and

[0010] The driving motor is controlled in combination with the intelligent adjustment strategy and the control instruction of the intelligent terminal to achieve the raising or lowering of the gate.

[0011] Preferably, the cloud platform communicates and / or is electrically connected to the gate controller and the smart terminal respectively; wherein the smart terminal includes a computer and a smart phone;

[0012] The gate controller communicates and / or is electrically connected with the driving motor, the power supply module, and the acquisition sensor respectively; wherein the acquisition sensor includes a water level sensor and a distance measuring sensor.

[0013] Preferably, the power supply module includes a conventional power supply unit and a photovoltaic power supply unit;

[0014] The conventional power supply unit controls the gate controller to operate via a transformer;

[0015] The photovoltaic power supply unit comprises a solar panel, a solar controller, a battery pack and an inverter, and the battery pack is connected to the gate controller through the inverter.

[0016] Preferably, the photovoltaic power supply unit and the conventional power supply unit operate in collaboration, and the photovoltaic power supply unit supplies power preferentially;

[0017] When any one of the photovoltaic power supply unit and the conventional power supply unit is working, the state of the other one is detected in real time and fed back to the smart terminal in time.

[0018] Preferably, establishing the gate distribution map through the cloud platform and determining the environmental label corresponding to the target area in the gate distribution map includes:

[0019] Determine the monitoring area and the geographical data corresponding to a plurality of the gates in the monitoring area;

[0020] Establishing the gate distribution map according to the plurality of geographical data;

[0021] Determine the target area according to a plurality of gates in the gate distribution map; wherein the target area includes at least one of the gates;

[0022] The environmental data in the target area is analyzed to generate and set the corresponding environmental tag.

[0023] Preferably, the environmental label for the target area is set through expert experience or through an environmental assessment model; wherein the environmental assessment model is established based on an artificial intelligence model.

[0024] Preferably, the gate controller collects the water level data collected by the collection sensor in real time or at a fixed time, packages the water level data and uploads it to the cloud platform, and temporarily stores the water level data at the same time; wherein the water level data includes the water level upstream of the gate and the water level downstream of the gate.

[0025] Preferably, the cloud platform combines the environmental data with the water level data to determine the intelligent adjustment strategy, including:

[0026] Predicting the water capacity of the gate within a set period based on the environmental data; wherein the set period includes six hours, twenty-four hours or forty-eight hours;

[0027] Comparing and analyzing the water holding capacity and the water level data to determine the intelligent regulation strategy;

[0028] The intelligent adjustment strategy is sent to the intelligent terminal.

[0029] Preferably, comparing the water holding capacity with the water level data to obtain the intelligent regulation strategy includes:

[0030] Combining the water holding capacity with the water level upstream of the gate to determine the predicted water level upstream of the gate within a set period;

[0031] Determine the water level difference between the upstream predicted water level and the downstream water level of the gate according to the upstream predicted water level and the downstream water level of the gate;

[0032] The intelligent adjustment strategy is obtained according to the water level difference; wherein the intelligent adjustment strategy includes a gate adjustment height and a gate adjustment time limit.

[0033] Preferably, after receiving the intelligent adjustment strategy, the intelligent terminal verifies and adjusts the intelligent adjustment strategy to generate the control instruction;

[0034] The gate controller controls the drive motor according to the intelligent adjustment strategy and the control instruction after verification and adjustment.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] 1. The present invention analyzes the environmental data of the target area in the gate distribution map to obtain environmental tags, combines the environmental tags with the water level data to generate an intelligent adjustment strategy, and after the intelligent terminal verifies the intelligent adjustment strategy, controls the drive motor through the gate controller to achieve intelligent control of the gate, thereby reducing the pressure on staff and improving the control efficiency of the gate.

[0037] 2. The present invention establishes a gate distribution map through a cloud platform, and timely displays the relevant data of each gate in the gate distribution map. At the same time, timely warnings are issued for the set warning conditions, which facilitates the staff to remotely monitor the status of each gate, reduces a lot of patrol work, and improves safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 It is a schematic diagram of the working steps of the present invention. DETAILED DESCRIPTION

[0040] The technical scheme of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] The prior art (invention patent with publication number CN110554655A) discloses an intelligent hydraulic flood control gate and its control system, which controls the flood control gate in stages according to the actual monitored water level upstream and the actual monitored water flow downstream, and adjusts the opening height and state of the flood control gate in real time. The prior art does not take the working environment of the gate into consideration during the gate control process, and cannot realize linkage control with the surrounding environment, resulting in low gate control efficiency.

[0042] Existing technology cannot accurately determine the impact of severe weather on the gates. In addition, there are many existing small-scale water conservancy networks, and the patrol personnel and on-duty personnel are a large organization, which leads to the delay in discovering and reporting problems in a timely manner, and the control efficiency of the gates is low, leading to disasters.

[0043] The present invention establishes a gate distribution map through a cloud platform, analyzes the environmental data of the target area in the gate distribution map to obtain environmental tags, combines the environmental tags with the water level data to generate an intelligent adjustment strategy, and after the intelligent terminal verifies the intelligent adjustment strategy, controls the drive motor through the gate controller to achieve intelligent control of the gate, thereby reducing the pressure on staff and improving the control efficiency of the gate.

[0044] See also Figure 1 , the first embodiment of the present application provides an intelligent control system for a gate hoist, including a cloud platform, and a gate controller and an intelligent terminal connected thereto, and the gate controller is connected to a power supply module, a drive motor and a collection sensor;

[0045] Cloud platform: Establish gate distribution map based on geographic data of monitoring area, obtain environmental data of target area in gate distribution map, analyze environmental data to generate environmental tags; combine environmental tags with water level data to generate intelligent regulation strategy, and send the intelligent regulation strategy to intelligent terminal;

[0046] Gate controller: connected one-to-one with the drive motor; collects water level data of the gate in real time through the acquisition sensor and uploads it to the cloud platform; and controls the drive motor in combination with the intelligent adjustment strategy and the control instructions of the smart terminal to achieve the raising or lowering of the gate.

[0047] This application mainly includes a cloud platform, a gate controller and an intelligent terminal. The cloud platform is used to process water level data and environmental data, generate intelligent adjustment strategies, and is also used for data interaction between the intelligent terminal and the gate controller. The gate controller is mainly used to control the rise or fall of the gate through the drive motor, and is also used to collect water level data on both sides of the gate. The intelligent terminal is the basis for the staff to monitor the gate.

[0048] In the present application, the cloud platform communicates and / or is electrically connected to the gate controller and the intelligent terminal respectively; the gate controller communicates and / or is electrically connected to the drive motor, the power supply module, and the acquisition sensor respectively.

[0049] Intelligent terminals include intelligent interactive devices such as computers and smart phones. Collection sensors include water level sensors, distance sensors and other necessary sensors for gate control. The distance sensors are mainly used to measure the position of the gate. In other preferred embodiments, the distance sensors can be replaced by displacement sensors.

[0050] The power supply module in the present application includes a conventional power supply unit and a photovoltaic power supply unit. The conventional power supply unit controls the gate controller to operate through a transformer; the photovoltaic power supply unit includes a solar panel, a solar controller, a battery pack and an inverter, and the battery pack is connected to the gate controller through an inverter.

[0051] The power supply module provides power for the gate controller and other related equipment. Considering that the gate is usually located in a remote environment and power supply is difficult, a combination of conventional power supply units and photovoltaic power supply units is used for power supply. Conventional power supply units provide power to the battery pack and gate controller through transformers, etc.; photovoltaic power supply units use solar energy to charge the battery pack and then power the gate controller.

[0052] In the photovoltaic power supply unit, the solar panel is connected to the battery pack through the solar controller, and the battery pack is connected to the gate controller through the inverter.

[0053] In a preferred embodiment, the photovoltaic power supply unit and the conventional power supply unit operate in collaboration, and the photovoltaic power supply unit provides power first; when either the photovoltaic power supply unit or the conventional power supply unit is working, the status of the other is detected in real time and timely fed back to the smart terminal.

[0054] In this embodiment, the photovoltaic power supply unit and the conventional power supply unit share a battery pack. The photovoltaic power supply unit is used for power supply first. When the power supply condition is insufficient (insufficient light, solar panel failure, etc.), the conventional power supply unit is switched to supply power. It is worth noting that during the power supply process of the photovoltaic power supply unit, the status of the conventional power supply unit should be monitored in real time to avoid the overall paralysis of the power supply module.

[0055] During the power supply process of the conventional power supply unit, once the photovoltaic power supply unit recovers its power supply capability, the photovoltaic power supply unit is switched to supply power.

[0056] In this application, a gate distribution map is established through the cloud platform, and the environmental labels corresponding to the target areas in the gate distribution map are determined, including:

[0057] Determine the monitoring area and the geographical data corresponding to several gates in the monitoring area;

[0058] Establish gate distribution map based on certain geographic data;

[0059] Determine the target area based on a number of gates in the gate distribution map;

[0060] Analyze the environmental data in the target area, generate and set the corresponding environmental labels.

[0061] The monitoring area in this application refers to the area where the gate needs to be intelligently controlled, and the monitoring area includes at least one gate. It can be understood that if there is only one gate in the monitoring area, there is only one target area in the monitoring area.

[0062] Obtain several gates in the monitoring area, and define the area that can affect the water volume upstream and downstream of the gate with the gate as the center, and the defined area is the target area. It can be understood that when the distance between two gates is close, the two gates can be defined in the same target area.

[0063] The environmental data of the target area is obtained based on the set period. The environmental data includes both the geographical data of the target area itself, such as altitude, vegetation, climate type, etc., and the climate data of the target area within the set period, such as temperature, humidity, precipitation, etc.

[0064] This application can analyze the environmental data of the target area by experts and then set the corresponding environmental labels; or the environmental data can be processed and combined with the environmental assessment model to obtain the corresponding environmental labels.

[0065] It is understandable that the environmental assessment model is generated based on standard training data and artificial intelligence model training. The standard training data is generated in the laboratory or obtained based on historical data summary, including environmental data and corresponding environmental labels; the artificial intelligence model includes a deep convolutional neural network model or an RBF neural network model.

[0066] In the present application, the gate controller collects water level data collected by the collection sensor in real time or at a fixed time, packages the water level data and uploads it to the cloud platform, and temporarily stores the water level data at the same time; the water level data includes the water level upstream of the gate and the water level downstream of the gate.

[0067] Water level data needs to be collected in real time during disaster-prone seasons, and can be collected regularly at other times. After the water level data is collected, it is packaged and sent to the cloud platform, which forwards the water level data so that the smart terminal can receive the water level data in time. It is understandable that the water level data will be temporarily stored in the gate controller to avoid the loss of water level data due to communication failure.

[0068] In a preferred embodiment, the cloud platform combines environmental data and water level data to determine an intelligent regulation strategy, including:

[0069] Predict the water volume that the gate will receive within a set period based on environmental data;

[0070] Compare and analyze water capacity and water level data to determine intelligent regulation strategies;

[0071] Send intelligent adjustment strategies to intelligent terminals.

[0072] The set period in this application and this embodiment includes six hours, twenty-four hours or forty-eight hours; the water holding capacity is obtained according to the environmental data within the set period, such as:

[0073] The total amount of rainfall in the target area in the next six hours is 100. Combining environmental parameters such as altitude and climate type with historical experience, the proportional coefficient of the target area is determined to be α (0<α<1). The water capacity of the only gate (or sluice) in the target area is 100α. If there are two gates (or two sluices) in the target area, their respective water-bearing coefficients α1 and α2 are determined according to historical experience (0<α1+α2<1), and their respective water-bearing capacities are 100α1 and 100α2.

[0074] After determining the water capacity, compare the water capacity with the water level data to obtain intelligent adjustment strategies, including:

[0075] Combine the water volume with the water level upstream of the gate to determine the predicted water level upstream of the gate within the set period;

[0076] Determine the water level difference between the upstream predicted water level and the downstream water level of the gate;

[0077] Obtain intelligent adjustment strategy based on water level difference.

[0078] This embodiment combines the upstream water level and water holding capacity of the gate to determine the upstream predicted water level, which is compared with the downstream water level of the gate. The water level difference between the upstream and downstream of the gate can be obtained, and the intelligent adjustment strategy is automatically set according to the water level difference.

[0079] The intelligent adjustment strategy in this embodiment includes gate adjustment height, gate adjustment time limit, etc., such as how long it takes to adjust the gate to a certain height. It can be understood that the gate adjustment is implemented to ensure the gate adjustment efficiency and provide preparation time for the downstream. For example, in one hour, the gate is raised by 1 meter at a uniform speed, which can provide an hour of buffer time for the downstream without delaying the gate operation.

[0080] When the water level difference is less than the difference threshold, it means that the water level difference does not reach the warning value of the gate and the gate does not need to be adjusted; when the water level difference is greater than or equal to the difference threshold, it means that the water level difference has reached the warning value of the gate and the gate needs to be adjusted.

[0081] After the intelligent adjustment strategy is generated, this application is sent to the intelligent terminal. The staff verifies the intelligent adjustment strategy through the intelligent terminal. If the verification is correct, the control instruction is sent to the cloud platform, and the gate controller adjusts the gate according to the control instruction and the intelligent adjustment strategy. If the staff modifies the intelligent adjustment strategy during the verification process, the gate is adjusted according to the modified intelligent adjustment strategy, and the intelligent adjustment strategies before and after the modification are stored in the cloud platform for inspection.

[0082] Some of the data in the above formula are calculated by removing the dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0083] Working principle of the present invention:

[0084] The gate controller collects the water level data of the gate in real time through the acquisition sensor and uploads it to the cloud platform.

[0085] The cloud platform obtains the environmental data of the target area in the gate distribution map, analyzes the environmental data and generates environmental labels.

[0086] The cloud platform combines environmental tags and water level data to generate intelligent regulation strategies and sends the intelligent regulation strategies to smart terminals.

[0087] After verifying the intelligent adjustment strategy, the intelligent terminal generates a control instruction; the gate controller controls the drive motor according to the control instruction and the intelligent adjustment strategy to complete the lifting and lowering control of the gate.

[0088] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent control system for a gate hoist, comprising a cloud platform, a gate controller and an intelligent terminal connected thereto, wherein the gate controller is connected to a power supply module, a drive motor and a collection sensor, and is characterized in that: Cloud platform: establish a gate distribution map based on the geographic data of the monitoring area, obtain environmental data of the target area in the gate distribution map, analyze the environmental data and generate environmental tags; as well as Combining the environmental tag with the water level data to generate an intelligent adjustment strategy, and sending the intelligent adjustment strategy to the intelligent terminal; Gate controller: connected one-to-one with the driving motor; collects the water level data of the gate in real time through the collection sensor and uploads it to the cloud platform; as well as The driving motor is controlled by combining the intelligent adjustment strategy and the control instruction of the intelligent terminal to achieve the raising or lowering of the gate; The gate controller collects the water level data collected by the collection sensor in real time or at a fixed time, packages the water level data and uploads it to the cloud platform, and temporarily stores the water level data; wherein the water level data includes the water level upstream of the gate and the water level downstream of the gate; The cloud platform combines the environmental data with the water level data to determine the intelligent adjustment strategy, including: Predicting the water capacity of the gate within a set period based on the environmental data; wherein the set period includes six hours, twenty-four hours or forty-eight hours, and the environmental data includes geographic data and climate data of the target area; Comparing and analyzing the water holding capacity and the water level data to determine the intelligent regulation strategy; Sending the intelligent adjustment strategy to the intelligent terminal; Comparing the water holding capacity with the water level data to obtain the intelligent adjustment strategy includes: Combining the water holding capacity with the water level upstream of the gate to determine the predicted water level upstream of the gate within a set period; Determine the water level difference between the upstream predicted water level and the downstream water level of the gate according to the upstream predicted water level and the downstream water level of the gate; The intelligent adjustment strategy is obtained according to the water level difference; wherein the intelligent adjustment strategy includes a gate adjustment height and a gate adjustment time limit.

2. The gate hoist intelligent control system according to claim 1, characterized in that: The cloud platform is in communication and / or electrically connected with the gate controller and the smart terminal respectively; wherein the smart terminal includes a computer and a smart phone; The gate controller communicates and / or is electrically connected with the driving motor, the power supply module, and the acquisition sensor respectively; wherein the acquisition sensor includes a water level sensor and a distance measuring sensor.

3. The gate hoist intelligent control system according to claim 1 or 2, characterized in that: The power supply module includes a conventional power supply unit and a photovoltaic power supply unit; The conventional power supply unit controls the gate controller to operate via a transformer; The photovoltaic power supply unit comprises a solar panel, a solar controller, a battery pack and an inverter, and the battery pack is connected to the gate controller through the inverter.

4. The gate hoist intelligent control system according to claim 3 is characterized in that: The photovoltaic power supply unit and the conventional power supply unit operate in cooperation, and the photovoltaic power supply unit supplies power preferentially; When any one of the photovoltaic power supply unit and the conventional power supply unit is working, the state of the other one is detected in real time and fed back to the smart terminal in time.

5. The gate hoist intelligent control system according to claim 1, characterized in that: Establishing the gate distribution map through the cloud platform and determining the environmental label corresponding to the target area in the gate distribution map includes: Determine the monitoring area and the geographical data corresponding to a plurality of the gates in the monitoring area; Establishing the gate distribution map according to the plurality of geographical data; Determine the target area according to a plurality of gates in the gate distribution map; wherein the target area includes at least one of the gates; The environmental data in the target area is analyzed to generate and set the corresponding environmental tag.

6. The gate hoist intelligent control system according to claim 1, characterized in that: After receiving the intelligent adjustment strategy, the intelligent terminal verifies and adjusts the intelligent adjustment strategy and generates the control instruction; The gate controller controls the drive motor according to the intelligent adjustment strategy and the control instruction after verification and adjustment.

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