Energy-saving and safety system for well and electricity double-control equipment

Abstract

The utility model discloses an energy-saving and safety system for well and electricity double-control equipment. The energy-saving and safety system comprises the well and electricity double-control equipment, an intelligent processing unit, a sensing module and a mechanical arm. The sensing module is composed of a 5.8 G radar sensor and a high-resolution camera, the camera is triggered through a radar signal to position an approaching target in real time, and multi-direction flexible adjustment and accurate monitoring are achieved in cooperation with the mechanical arm. The intelligent processing unit is integrated with the multi-modal data fusion module and is combined with a Bayesian optimization algorithm to carry out dynamic weighting processing on radar signals and image data, so that the signal identification precision and the positioning efficiency in a complex environment are improved. The system supports the path planning module to generate an optimal moving path and uploads data to a remote monitoring terminal in real time through the wireless communication module. According to the system, through the multi-mode fusion technology and intelligent design, the energy-saving effect and safety of the well-electricity double-control equipment are enhanced, and the system is suitable for efficient operation in a specific area and accurate response to emergencies.

Description

TECHNICAL FIELD

[0001] The utility model relates to intelligent sensing and multi-modal data processing technical field especially a well electricity double -controlled equipment energy -conserving and safety system. BACKGROUND

[0002] With the popularity of rural electric control equipment and the wide application of well electricity double -controlled system in specific scenes such as farmland irrigation, the intelligent management and safety protection demand for equipment operation state are increasing. However, the current well electricity double -controlled equipment still has many deficiencies in energy -conserving management and safety protection. The traditional energy -conserving mode is switched to the sleep state after a long time of no one operation, but the response speed is slow when the equipment wakes up again after sleeping, leading to the user often mistaken for the device failure when swiping the card or operating, thereby affecting the use experience. At the same time, in remote areas, well electricity double -controlled equipment is scattered in geographical position and environment is remote, and is easy to become the target of human damage or theft. Although in recent years, some systems have added camera modules to enhance security, but the camera is mostly directional monitoring, lacks dynamic sensing ability, and is difficult to intelligently record and analyze the specific location and dynamic process of the emergency, thereby limiting the improvement of safety protection function.

[0003] In addition, the existing equipment also has deficiencies in multi-scene adaptability. The traditional single -modal sensor system cannot process and fuse multiple environmental data at the same time, especially under variable conditions such as user approach, external interference and complex terrain, and cannot make quick and accurate response. In terms of data management, the current system mostly relies on simple local storage or manual operation record, lacks real -time data uploading and analysis function, and is difficult to realize remote monitoring and efficient data sharing. These technical shortcomings seriously restrict the comprehensive improvement of well electricity double -controlled equipment in energy -conserving efficiency, user experience and equipment safety. Therefore, an energy -conserving and safety system of well electricity double -controlled equipment capable of integrating multi -modal sensing, rapid response and intelligent data processing function is needed to realize the collaborative optimization of energy saving and safety protection, and meet the modern intelligent electric control management demand. UTILITY MODEL CONTENT

[0004] The utility model provides a well electricity double -controlled equipment energy -conserving and safety system, aims at solving the problem of slow response speed of the energy -conserving mode of the existing well electricity double -controlled equipment, poor user experience and insufficient safety protection. The system realizes the functions of fast response, real -time monitoring and intelligent safety protection of the equipment by integrating 5.8G radar proximity sensor, camera module, multi -modal sensing and processing technology.

[0005] To achieve the above purpose, the following technical solutions are used in the utility model.

[0006] The utility model provides an energy saving and safety system of well electricity double -control equipment, including well electricity double -control equipment, intelligent processing unit, sensing module and mechanical arm, sensing module includes radar and camera, the radar is 5.8G radar human body approach sensor, is used for detecting the object approach signal in the 20m range of well house all around, camera turns to target area after receiving the trigger signal of radar and records, intelligent processing unit is connected with sensing module and well electricity double -control equipment, is equipped with multimodal data fusion module, and multimodal data fusion module receives radar signal, camera image and equipment state data, and generates control instruction, and mechanical arm connects camera and adjusts its angle and position.

[0007] Multimodal data fusion module includes feature extraction unit, and the feature extraction unit extracts the feature of radar signal through short time fourier transform (STFT), and the camera image extracts the feature through convolution neural network (CNN), and the extracted multimodal data is used to generate camera steering instruction and well electricity double -control equipment response instruction.

[0008] Camera realizes all -direction rotation through mechanical arm, and the mechanical arm is driven and adjusted by the control signal generated by intelligent processing unit, and intelligent processing unit includes path planning module, and the path planning module generates the steering path of camera based on the output of multimodal data fusion module and controls the angle and position of mechanical arm in combination with preset position information, and radar adjusts its detection sensitivity and detection range through intelligent processing unit, and the adjustment is based on environmental variable and the dynamic optimization of input data, and intelligent processing unit is equipped with energy saving management module, and the energy saving management module controls well electricity double -control equipment to enter low -power consumption mode when being not approached, and automatically wakes up equipment and recovers service state when detecting approach signal, and multimodal data fusion module adjusts the weight parameter of radar signal and camera image data through bayesian optimization algorithm, and the weight parameter is based on the reliability of signal input and real -time environmental variable dynamic optimization, and camera is equipped with night vision function, and image data under low light environment is handled through deep learning algorithm, and control instruction is generated through multimodal data fusion module.

[0009] Compared with the prior art, the utility model has the beneficial effects that:

[0010] Compared with the prior art, the utility model has the beneficial effects that:

[0011] The utility model discloses a multi-modal data fusion module processes radar signal and image data, utilizes feature extraction and weight optimization algorithm to generate accurate equipment control instruction.

[0012] In the energy-saving management aspect, the system introduces low-power standby mode and fast wake-up mechanism, which can switch to low-power state when no one operates for a long time, and quickly activate the device and provide voice and display prompts after detecting human proximity signals, significantly improving user experience. In addition, the system supports event recording and wireless communication functions, which can upload monitoring data to remote terminals in real time, realize automatic storage, remote monitoring and analysis of data, and provide strong guarantee for device safety and operation efficiency.

[0013] In summary, the device has significant advantages in the comprehensive optimization of energy saving and safety protection functions, and is suitable for intelligent management of well-electricity dual-control equipment in remote rural fields and other remote scenes, and has wide application prospect and popularization value. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 The overall structure diagram of the well-electricity dual-control equipment energy-saving and safety system

[0015] Figure 2 The detailed structure diagram of the sensing module of the well-electricity dual-control equipment energy-saving and safety system

[0016] Figure 3 The software function flow chart based on 5.8G radar and multi-modal data fusion

[0017] Reference signs in the drawings: 1, well-electricity dual-control equipment; 2, intelligent processing unit; 3, sensing module; 31, radar; 32, camera module; 33, mechanical arm. DETAILED DESCRIPTION

[0018] The utility model will be further described below in combination with the drawings and examples.

[0019] It should be noted that the following detailed description is exemplary and is intended to provide further description of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as generally understood by those skilled in the art to which the present application belongs.

[0020] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising," when used in this specification, specify the presence of stated features, steps, operations, devices, components and / or combinations thereof, but do not preclude the presence or addition of one or more other features, steps, operations, devices, components, and / or combinations thereof.

[0021] In practical application, first, the well electrical double control equipment energy saving and safety system is installed around the well house, the 5.8G radar sensor in the sensing module enters standby state, and the target approach condition in the range of 20 meters around the monitoring equipment is monitored. After the radar sensor detects the human body approach signal, the approach information is transmitted to the intelligent processing unit, the intelligent processing unit quickly issues an instruction to wake up the well electrical double control equipment, and activates the display screen and the voice prompt module, and provides the device operation prompt to the user.

[0022] At the same time, the camera module receives the instruction of the intelligent processing unit, adjusts the angle through the mechanical arm and the rotating base, quickly turns to the direction of the approach signal to carry out real-time monitoring, and transmits the video data to the intelligent processing unit. The multi-modal data fusion module carries out feature extraction and fusion analysis on the data collected by the radar signal and the camera, which is used for further optimizing the response strategy of the equipment. All data in the detection process are uploaded to the remote monitoring platform through the wireless communication module, realizing real-time monitoring and recording. When abnormal behavior or potential security threat is detected, the system will trigger an alarm signal, and automatically store relevant data for subsequent analysis and management.

[0023] Referring to Figure 1 The utility model discloses a kind of well electrical double control equipment energy saving and safety system, including well electrical double control equipment 1, intelligent processing unit 2, sensing module 3, mechanical arm 33 and matched monitoring and communication function.

[0024] The well electrical double control equipment 1 is the core equipment of the system, mainly used to execute power control and well water management function, and is connected with the intelligent processing unit 2. The intelligent processing unit 2 is the control core of the whole system, and is built-in multi-modal data fusion module, can receive multi-modal sensing data from the sensing module 3, and generates control instruction by feature extraction and fusion algorithm, adjusts the operating state of well electrical double control equipment 1, realizes energy saving management and efficient operation.

[0025] The perception module 3 includes a radar 31 and a camera module 32, which work cooperatively through a mechanical arm 33. The radar 31 is installed at the four corners of the shaft house, for real-time monitoring of object approach within a range of 20 meters; when a human body is detected to approach, the camera module 32 is triggered to quickly turn to the target area for real-time monitoring. The mechanical arm 33 adopts a multi-degree-of-freedom design, has high flexibility, and can quickly adjust the direction of the camera module 32 to realize multi-angle monitoring function.

[0026] The operation of the mechanical arm 33 is supported by a fixed support assembly on the shaft electric dual-control device 1, and combined with the built-in rotation and inclination mechanism to realize accurate positioning. In order to further improve the system adaptability, the perception module 3 and the mechanical arm 33 can dynamically optimize the working angle according to the environmental feedback, enhancing the multi-directional monitoring capability of the device in complex scenes.

[0027] In addition, the system integrates wireless communication function for remote monitoring and data transmission. The intelligent processing unit 2 uploads the running state of the shaft electric dual-control device 1, the monitoring data of the perception module 3 and the alarm information to the remote terminal in real time through the wireless communication module, which is convenient for users to remotely manage and make decisions in real time. Combined with the event log recording function, the system can automatically save the monitoring and running data to provide support for subsequent analysis and device maintenance.

[0028] By combining multi-modal perception and intelligent control, the system realizes efficient and energy-saving operation management in complex environments, and significantly improves safety and user experience. The overall structure design is compact, and the functional modules work cooperatively, providing an innovative solution for the intelligent upgrade of modern shaft electric dual-control devices.

[0029] Referring to Figure 2 The perception module 3 of the utility model in detail shows its internal composition and function layout, including radar 31, camera module 32 and mechanical arm 33. The design of the perception module 3 aims to realize efficient perception, positioning and monitoring of target objects within a range of 20 meters around the shaft house.

[0030] The radar 31 is a 5.8G radar human body approach sensor, fixedly installed at the top end position of the mechanical arm 33, for real-time detection of human body or object approach signals around the shaft house. The radar 31 has high sensitivity target detection capability, which can capture and transmit the detection signal to the intelligent processing unit as the basis for triggering subsequent actions.

[0031] The camera module 32 cooperates with the radar 31 and is fixedly installed at the end of the mechanical arm 33 and can be precisely adjusted by motor driving. After receiving the instructions from the intelligent processing unit, the camera module 32 quickly adjusts the monitoring direction according to the target direction detected by the radar 31 and performs image acquisition and recording on the specified area. The camera module 32 has high-resolution video shooting function and supports real-time video stream transmission and abnormal event capture.

[0032] The mechanical arm 33 adopts a multi-degree-of-freedom design and contains multiple rotating joints to realize fast and flexible movement by controlling the motor. The design of the mechanical arm 33 can meet the multi-angle and multi-direction adjustment requirements of the camera module 32 in complex environments. The bottom of the mechanical arm 33 is connected to the support structure of the well electrical control equipment, and the structure has high mechanical strength to ensure the stability and precision of the camera and radar during operation.

[0033] In this design, the perception module 3 combines the detection function of the radar 31 and the visual acquisition capability of the camera module 32 to realize the rapid linkage from target detection to image monitoring, which provides key support for the efficient operation and safety guarantee of the system. The high flexibility of the mechanical arm 33 further improves the adaptability of the system in different working scenarios.

[0034] Referring to Figure 3 The overall data flow logic of the system is composed of perception acquisition, feature extraction, data fusion, intelligent decision-making, task execution and data feedback, and each functional module realizes intelligent and automated operation in a highly cooperative manner. In the perception acquisition stage, the radar 31 is arranged around the equipment to monitor the human proximity signal within a range of 20 meters in real time and provide direction information. The camera module 32 is started after the radar is triggered, and the image acquisition of the target area is completed through the adjustment of the mechanical arm 33 to generate high-resolution visual data. The radar signal and camera image data are transmitted to the intelligent processing unit 2 through the perception module 3. This stage realizes the effective combination of spatial positioning and image acquisition, providing multi-modal input for subsequent processing.

[0035] In the feature extraction and data fusion stage, the feature extraction module in the intelligent processing unit 2 processes the radar signal and camera data respectively. The radar signal is processed by short-time Fourier transform (STFT) to extract frequency, direction and intensity of human proximity and other key parameters; the camera data is processed by convolutional neural network (CNN) to analyze the shape and motion features of the target area. The data fusion module takes Bayesian optimization algorithm as the core, dynamically adjusts the weight distribution of the radar and camera, combines environmental variables and signal reliability indicators to generate high-precision positioning data and behavior analysis information.

[0036] The fusion data is processed by the intelligent task decision module to generate specific instructions, which are sent to the execution module. After receiving the instructions, the mechanical arm 33 adjusts quickly through the multi-degree-of-freedom rotary joint, drives the camera module 32 to align the target area, and completes real-time monitoring and data recording. When the human body approaches, the well electrical double control equipment 1 is triggered by the instruction to enter the working mode, and the display screen and voice prompt module are activated, improving the user interaction experience. During task execution, the system uploads the image data collected by the camera and the device status to the remote monitoring platform through the wireless communication module, realizing real-time data recording, analysis and sharing. At the same time, the monitoring platform remotely feeds back the abnormal state information received, supporting remote fault diagnosis and control adjustment of the device. The whole process is designed by modularization and processed intelligently, which not only enhances the adaptability of the system to complex environment, but also significantly improves the precision and safety of operation.

[0037] The energy-saving and safety system of the well electrical double control equipment includes the following steps:

[0038] Step one: system initialization and target area detection. Deploy the well electrical double control equipment in the designated area, and activate the sensing module through the intelligent processing unit of the system. The radar sensor monitors the human body approach signal within 10 meters in real time. When the target is detected, the radar sensor sends a signal to the intelligent processing unit, triggering the camera module and the mechanical arm. After the mechanical arm adjusts the angle, the camera module captures the target area visually, generates high-resolution image data and transmits it to the intelligent processing unit. The intelligent processing unit extracts multi-modal features from radar and image data through the built-in feature extraction module, and completes the preliminary positioning of the approaching target.

[0039] Step two: multi-modal data fusion and optimization analysis. The radar signal and image data extracted by the feature extraction module are input into the data fusion module. The fusion module uses Bayesian optimization algorithm to dynamically adjust the weight distribution of radar and image signals. The data fusion result combines with environmental variables such as light intensity and radar signal reliability to generate accurate target positioning information. The intelligent processing unit determines the specific position of the approaching target according to the fusion data, and simultaneously activates the service mode of the well electrical double control equipment, such as turning on the display screen and voice prompt module, to provide a friendly interaction interface for users.

[0040] Step three: task execution and device protection. After the target is located accurately, the system generates the best operation instructions through the path planning module and the intelligent decision module. The mechanical arm adjusts the direction and position of the camera module through the multi-degree-of-freedom joint, realizing the continuous monitoring of the specific area. The camera module records image data in real time and stores it in the system log, and uploads it to the remote monitoring terminal through the wireless communication module. In addition, the system dynamically adjusts the monitoring task according to the changes of multi-modal data, such as switching the camera target area or increasing the monitoring density, to cope with possible emergencies.

[0041] Step four: Remote monitoring and data management. After the task is completed, the system uploads information such as radar, camera data, and path planning results to the remote monitoring platform in real time for operators to analyze device status and monitor data. If the system detects abnormal conditions, such as device damage or operation deviation, the intelligent processing unit will trigger an alarm signal and notify the operator through the monitoring platform. All operation records and environmental data are stored in the device log module for subsequent system optimization and maintenance decisions.

Claims

1. A well electrical dual control device energy saving and safety system, comprising a well electrical dual control device (1), an intelligent processing unit (2), a sensing module (3), characterized in that: The perception module (3) includes a radar (31), a camera (32), and a mechanical arm (33); the radar (31) is a 5.8G radar human proximity sensor for detecting the proximity signal of objects around the well house; the camera (32) turns to the target area for recording after receiving the trigger signal of the radar (31); the intelligent processing unit (2) is connected with the perception module (3) and the well electricity double control equipment (1), and is configured with a multi-modal data fusion module, which receives radar signals, camera images and equipment state data, and generates control instructions; the mechanical arm (33) is connected with the camera (32) to adjust its angle and position.

2. The well electrical dual control device energy saving and safety system according to claim 1, characterized in that: The multi-modal data fusion module includes a feature extraction unit, which extracts the features of the radar signal through short-time Fourier transform (STFT), and extracts the features of the camera image through convolutional neural network (CNN), and the extracted multi-modal data is used to generate camera turning instructions and well electricity double control equipment response instructions.

3. The well electrical dual control device energy saving and safety system according to claim 1, characterized in that: The camera (32) is realized by the mechanical arm (33) to realize omnidirectional rotation, and the mechanical arm (33) is driven and adjusted by the control signal generated by the intelligent processing unit (2).

4. The well electrical dual control device energy saving and safety system according to claim 1, characterized in that: The intelligent processing unit (2) includes a path planning module, which generates a turning path for the camera (32) based on the output of the multi-modal data fusion module, and controls the angle and position of the mechanical arm (33) in combination with the preset position information.

5. The well electrical dual control device energy saving and safety system according to claim 1, characterized in that: The radar (31) adjusts its detection sensitivity and detection range through the intelligent processing unit (2), and the adjustment is based on dynamic optimization of environmental variables and input data.

6. The well electrical dual control device energy saving and safety system of claim 1, wherein: The intelligent processing unit (2) is configured with an energy saving management module, which controls the well electricity double control equipment (1) to enter a low power consumption mode when no one approaches, and automatically wakes up the equipment to restore the service state when detecting the proximity signal.

7. The well electrical dual control device energy saving and safety system of claim 1, wherein: The multi-modal data fusion module adjusts the weight parameters of the radar signal and the camera image data through the Bayesian optimization algorithm, and the weight parameters are dynamically optimized based on the reliability of signal input and real-time environmental variables.

8. The well electrical dual control device energy saving and safety system of claim 1, wherein: The camera (32) is equipped with night vision function, which processes image data in low light environment through deep learning algorithm, and generates control instructions through multi-modal data fusion module.

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