Electricity approaching alarm equipment and monitoring system for construction machinery

Abstract

The invention relates to the technical field of construction machinery safety monitoring, and discloses a construction machinery near-electricity alarm device and a monitoring system.The alarm device comprises a control box and a detection box, the outer wall of the control box is electrically connected with a signal receiver, the outer wall of the detection box is electrically connected with a signal transmitter, and the signal transmitter is electrically connected with a signal receiver. The signal receiver is in wireless communication connection with the signal transmitter, and the outer wall of the detection box is fixedly connected with a protective cover. The cleaning mechanism is mounted on the outer wall of the detection box; the cleaning mechanism comprises a second supporting frame, and the outer wall of the second supporting frame is fixedly connected to the outer wall of the detection box. A motor is started to drive a first rotating rod to rotate in a second supporting frame, so that the first rotating rod rotates to drive a second gear and a first gear to rotate, the second rotating rod rotates in the second supporting frame to drive a scraping plate to move, and the scraping plate rotates on a first supporting frame; and the outer wall of the protective cover is cleaned through the movement of the scraping plate.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of construction machinery safety monitoring, in particular to a construction machinery near-electricity alarm device and monitoring system. BACKGROUND

[0002] In modern construction environments, the safe operation of construction machinery is of utmost importance. However, the existing technology has many shortcomings in near-electricity alarm devices and monitoring systems. First, many traditional alarm devices rely on simple threshold monitoring for hazard detection. This solution may work in static environments, but in construction sites, when environmental conditions change, it cannot adjust the monitoring standards in time. This directly leads to a lack of flexibility in responding to danger signals, often missing timely safety warnings.

[0003] The alarm systems commonly used in existing technology are often set to fixed frequencies and simple modes, without considering the diversity and complexity of dangerous situations. This makes the traditional alarm mechanism often appear general and single when facing different levels of risk. Such a design lacks effective hierarchy, leading to many false positives or false negatives, which poses potential safety hazards to construction sites.

[0004] The cleaning and maintenance process of the existing technology is often very tedious. Traditional cleaning methods often rely on manual labor, which is not only inefficient but also prone to missing some details. For example, the outer wall of the protective cover is easily contaminated with soil or dust during construction, affecting the normal operation of the device. Some existing mechanical cleaning solutions lack automation, adding extra burden to construction personnel and reducing work efficiency.

[0005] In terms of disassembly and maintenance of the device, the existing technology generally has the problem of tedious operation. Many multifunctional devices need multiple steps to complete disassembly. This not only wastes time but also makes it inconvenient to operate in emergency situations. Traditional solutions often do not consider the need for quick disassembly, limiting the flexibility of the device. SUMMARY

[0006] To overcome the shortcomings of the prior art, the present application provides a construction machinery near-electricity alarm device and monitoring system, which solves the problems of insufficient flexibility in near-electricity hazard detection, single alarm mode, and tedious cleaning and disassembly operation in the prior art.

[0007] To achieve the above purpose, the present application realizes the following technical scheme: a construction machinery near-electricity alarm device, comprising: a control box and a detection box, the outer wall of the control box is electrically connected with a signal receiver, the outer wall of the detection box is electrically connected with a signal transmitter, the signal receiver and the signal transmitter are connected through wireless communication, and the outer wall of the detection box is fixedly connected with a protective cover; The cleaning mechanism is installed on the outer wall of the detection box; and the protective cover is cleaned. The cleaning mechanism comprises a second support frame, an outer wall of the second support frame is fixedly connected to the outer wall of the detection box, a motor is fixedly connected to the outer wall of the second support frame, an output end of the motor is fixedly connected to the inside of the detection box, a first rotating rod is fixedly connected to the output end of the motor, an outer wall of the first rotating rod is rotatably connected to the inside of the second support frame, a second gear is fixedly connected to the outer wall of the first rotating rod, a second rotating rod is rotatably connected to the inside of the second support frame, a first gear is fixedly connected to the outer wall of the second rotating rod, the first gear and the second gear are connected through a chain, and a scraper is fixedly connected to one end of the second rotating rod.

[0008] Preferably, one end of the scraper is rotatably connected to a first support frame, and an outer wall of the first support frame is fixedly connected to the outer wall of the detection box.

[0009] Preferably, an outer wall of the detection box is fixedly connected to a support disc, an outer wall of the support disc is fixedly connected to a camera, the inside of the detection box is fixedly connected to a sensor, and the sensor and one end of the camera are both electrically connected to a signal transmitter.

[0010] Preferably, the inside of the control box is fixedly connected to an alarm lamp and a buzzer, and one end of the alarm lamp and the buzzer is both electrically connected to a signal receiver.

[0011] Preferably, the outer wall of the control box and the detection box is fixedly connected to a fixed plate, an outer wall of the fixed plate is fixedly connected to a limiting plate, the inside of the fixed plate is slidably connected to a fixed pin, one end of the fixed pin is fixedly connected to a spring, one end of the spring is fixedly connected to the inside of the fixed plate, an outer wall of the fixed pin is fixedly connected to a connecting rod, the outer wall of the connecting rod is slidably arranged in the inside of the fixed plate, one end of the connecting rod is fixedly connected to a connecting plate, and the outer wall of the two limiting plates is fixedly connected to a first mounting frame and a second mounting frame.

[0012] A construction machinery near-electricity alarm monitoring system comprises; A data acquisition module is configured to acquire construction machinery data, including motion data of a motion state of the construction machinery and near-electricity data of a near-electricity state of the construction machinery, through a sensor and a camera; A signal interaction module is configured to transmit the motion data and the near-electricity data acquired by the sensor and the camera to a signal receiver through a signal transmitter, and communicate with a remote server; A state estimation module is configured to receive the motion data and the near-electricity data, and obtain a current optimal state estimation of a key part of the construction machinery based on a preset motion model through a state estimation algorithm. a dangerous decision module, configured to calculate a probability value representing a current near-electricity danger degree according to the optimal state estimation and a preset danger model; an alarm execution module, configured to trigger an audible and light alarm when the probability value meets a preset alarm condition.

[0013] Preferably, the sensors in the data acquisition module include a position sensor, an electric field sensor and a meteorological sensor. The position sensor is configured to output position coordinates and dynamically acquire real-time position data of the construction machinery. The electric field sensor is configured to acquire surrounding electric field intensity data and output a current electric field intensity value. The meteorological sensor is configured to acquire meteorological parameter data and output wind speed, temperature and humidity values. The camera is configured to capture image data of the construction site. and integrate the motion data and the near-electricity data.

[0014] Preferably, the state estimation module specifically adopts an extended Kalman filter algorithm to perform state estimation through the following steps: initially predict the state of the construction machinery based on a preset motion model to generate an initial state vector; compare the acquired motion data with the predicted state to calculate a residual error of the observation value; adjust the state estimation according to the residual error and a dynamic variance, and output a final optimal state estimation and a covariance matrix.

[0015] Preferably, the dangerous decision module specifically adopts a Bayesian inference method to calculate the probability value representing the current near-electricity danger degree, including the following steps: obtain a danger prior probability corresponding to the current position of the construction machinery from a probability danger map; calculate a likelihood between the observed state and the danger model according to the optimal state estimation output by the state estimation module; combine the danger prior probability and the likelihood to calculate a posterior probability of the current near-electricity danger degree through a Bayesian formula.

[0016] Preferably, the alarm execution module implements the following alarm steps according to the probability value output by the dangerous decision module: monitor the probability value, and trigger a warning light and a buzzer to emit an audible and light alarm when the value exceeds a preset alarm threshold; control the flicker frequency and color of the warning light according to the size of the probability value; the audible and light alarm lasts until the danger state is removed or the system is manually reset.

[0017] The application provides a construction machinery near electric alarm device and a monitoring system. 1、The first rotating rod is rotated in the second support frame by the starting motor, so that the rotation of the first rotating rod drives the second gear and the first gear to rotate, the second rotating rod is rotated in the second support frame, the scraper is moved, the scraper is rotated on the first support frame, and the outer wall of the protective cover is cleaned through the movement of the scraper.

[0018] 2、The connecting rod drives the fixed pin to extrude the spring, so that the fixed pin is taken out from the first mounting frame and the second mounting frame, so that the fixed plate is taken out from the first mounting frame and the second mounting frame, so as to achieve the effect of disassembling the control box and the detection box.

[0019] 3、The application adopts a dangerous decision-making technical scheme based on Bayesian inference, which achieves the accurate effect of real-time evaluation of near-electricity danger in the construction site. Compared with the simple threshold monitoring scheme in the prior art, which cannot dynamically consider the limitations of environmental changes and state information, the application effectively solves the problem of insufficient flexibility of traditional systems in complex construction environments, and improves the construction safety.

[0020] 4、The application introduces a multi-level alarm mechanism and an information transmission optimization scheme in the alarm execution module, which achieves the technical effect of precise alarm according to the risk level. Compared with the general alarm notification method in the prior art, this perfect mechanism reduces the possibility of false alarm and missed alarm, solves the safety hazards caused by information lag and ambiguity, and makes the safety response of the construction site more rapid and effective. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 It is a perspective view of the control box of the application; Figure 2 It is a schematic view of the detection box of the application; Figure 3 It is a schematic view of the detection box of the application without the protective cover; Figure 4 It is a sectional view of the second support frame of the application; Figure 5 It is a schematic view of the control box of the application; Figure 6 It is a sectional view of the fixed plate of the application Figure 1 ; Figure 7 It is a sectional view of the fixed plate of the application Figure 2 ; Figure 8 It is a system framework diagram of the application; Figure 9Flow chart of state estimation module of the present application; Figure 10 Flow chart of danger decision module of the present application; 1, control box; 2, detection box; 3, signal receiver; 4, signal transmitter; 5, cleaning mechanism; 501, first support frame; 502, scraper; 503, second support frame; 504, first rotating rod; 505, second rotating rod; 506, first gear; 507, motor; 508, second gear; 6, protective cover; 7, sensor; 8, first mounting bracket; 9, alarm light; 10, buzzer; 11, second mounting bracket; 12, camera; 13, support disc; 14, limiting plate; 15, fixed plate; 16, fixed pin; 17, connecting rod; 18, spring; 19, connecting plate. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the specification of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0023] Please refer to the drawings in the specification of the present application Figure 1 - the drawings in the specification of the present application Figure 7 The embodiments of the present application provide a construction machinery near electric alarm device and monitoring system, comprising: The outer wall of the control box 1 is electrically connected with the signal receiver 3, the outer wall of the detection box 2 is electrically connected with the signal transmitter 4, the signal receiver 3 and the signal transmitter 4 are connected through wireless communication, and the outer wall of the detection box 2 is fixedly connected with the protective cover 6; the outer wall of the detection box 2 is fixedly connected with the support disc 13, the outer wall of the support disc 13 is fixedly connected with the camera 12, the inside of the detection box 2 is fixedly connected with the sensor 7, the sensor 7 and one end of the camera 12 are both electrically connected with the signal transmitter 4, the inside of the control box 1 is fixedly connected with the alarm light 9, the inside of the control box 1 is fixedly connected with the buzzer 10, and one end of the alarm light 9 and one end of the buzzer 10 are both electrically connected with the signal receiver 3; Specifically, the control box 1 is installed in the cab of the construction machinery, the detection box 2 is installed at the top of the running part of the construction machinery, the motion data and the near electric data are collected through the sensor 7 and the camera 12, the collected information is transmitted to the inside of the signal receiver 3 through the signal transmitter 4, the information is analyzed, the sound and light alarm is given through the alarm light 9 and the buzzer 10 when the machinery approaches the high-voltage electric wire, thereby reminding the driver to stop working, the camera 12 is protected through the protective cover 6 arranged on the detection box 2, and the camera 12 is prevented from being damaged by foreign matters and dust.

[0024] The cleaning mechanism 5 is installed on the outer wall of the detection box 2; and the protective cover 6 is cleaned; The cleaning mechanism 5 comprises a second support frame 503, the outer wall of the second support frame 503 is fixedly connected to the outer wall of the detection box 2, the outer wall of the second support frame 503 is fixedly connected with a motor 507, the outer wall of the motor 507 is fixedly connected to the inside of the detection box 2, the output end of the motor 507 is fixedly connected with a first rotating rod 504, the outer wall of the first rotating rod 504 is rotatably connected to the inside of the second support frame 503, the outer wall of the first rotating rod 504 is fixedly connected with a second gear 508, the inside of the second support frame 503 is rotatably connected with a second rotating rod 505, the outer wall of the second rotating rod 505 is fixedly connected with a first gear 506, the first gear 506 and the second gear 508 are connected through a chain, one end of the second rotating rod 505 is fixedly connected with a scraper 502, the inside of the scraper 502 is slidably connected to the outer wall of the protective cover 6; one end of the scraper 502 is rotatably connected with a first support frame 501, the outer wall of the first support frame 501 is fixedly connected to the outer wall of the detection box 2.

[0025] Specifically, the motor 507 is started to drive the first rotating rod 504 to rotate in the inside of the second support frame 503, so that the rotation of the first rotating rod 504 drives the second gear 508 to rotate, the second gear 508 drives the first gear 506 to rotate through the chain, the first gear 506 drives the second rotating rod 505 to rotate in the inside of the second support frame 503, so that the second rotating rod 505 drives the scraper 502 to move, the scraper 502 rotates on the first support frame 501, and the outer wall of the protective cover 6 is cleaned through the movement of the scraper 502, the dust attached to the outer wall of the protective cover 6 is scraped off, and the scraper 502 is reset through the rotation of the motor 507.

[0026] The control box 1 and the outer wall of the detection box 2 are fixedly connected with a fixed plate 15, the outer wall of the fixed plate 15 is fixedly connected with a limiting plate 14, the inside of the fixed plate 15 is slidably connected with a fixed pin 16, one end of the fixed pin 16 is fixedly connected with a spring 18, one end of the spring 18 is fixedly connected to the inside of the fixed plate 15, the outer wall of the fixed pin 16 is fixedly connected with a connecting rod 17, the outer wall of the connecting rod 17 is slidably arranged in the inside of the fixed plate 15, one end of the connecting rod 17 is fixedly connected with a connecting plate 19, the outer wall of the two limiting plates 14 is fixedly connected with a first mounting frame 8 and a second mounting frame 11.

[0027] Specifically, by pushing the control box 1 and the detection box 2 to move, the control box 1 and the detection box 2 drive the fixed plate 15 to move, respectively, so that the two limiting plates 14 are inserted into the inside of the first mounting frame 8 and the second mounting frame 11, respectively, the fixed pin 16 is pushed to move by the spring 18, so that the fixed pin 16 is inserted into the inside of the first mounting frame 8 and the second mounting frame 11, and then the control box 1 is fixed on the first mounting frame 8, and the detection box 2 is fixed on the second mounting frame 11, the control box 1 is installed on the cab of the construction machinery through the hole on the first mounting frame 8, and the detection box 2 is installed on the top of the running part of the construction machinery through the hole of the second mounting frame 11, the connecting rod 17 is driven by pushing the connecting plate 19 to make the connecting rod 17 extrude the spring 18, and then the fixed pin 16 is taken out from the first mounting frame 8 and the second mounting frame 11, so that the fixed plate 15 is taken out from the first mounting frame 8 and the second mounting frame 11, thereby achieving the effect of disassembling the control box 1 and the detection box 2.

[0028] A construction machinery near electric alarm monitoring system, as shown in Figure 8 , comprising; A data acquisition module for acquiring construction machinery data through sensors 7 and cameras 12, including motion data of the motion state of the construction machinery and near electric data of the proximity state to the high-voltage line; Specifically, the data acquisition module is used to provide original, real-time and multi-dimensional observation data for the whole monitoring system. The physical carrier of this module is mainly the detection box 2 deployed at the end of the construction machinery and the components connected outside it. The output of this module, that is, a structured comprehensive data package, will be used as the input of the signal interaction module, and then provide the necessary data source for the state estimation module.

[0029] In this embodiment, the core of the data acquisition module is composed of sensors 7 integrated inside the detection box 2 and cameras 12 fixed outside it. These data acquisition elements work together to collect various data reflecting the motion state of the construction machinery itself and its relative relationship with the external high-voltage electric environment at a synchronous clock frequency.

[0030] Specifically, the sensor 7 further includes a position sensor, an electric field sensor, and a weather sensor.

[0031] The position sensor is responsible for outputting the current position coordinates of the construction machinery. This sensor usually uses an RTK-GPS real-time dynamic positioning system, which can dynamically obtain real-time position data of the construction machinery within a centimeter level of accuracy. The output data form is a three-dimensional coordinate P=(x, y, z), where x, y, and z represent the position of the equipment in the ECEF coordinate system.

[0032] Specifically, in this embodiment, the position sensor corrects the position in real time by receiving satellite signals to generate accurate position information. In complex environments, the position sensor can further improve the positioning accuracy in combination with the information of the inertial navigation system.

[0033] The electric field sensor is used to obtain electric field intensity data near the construction site and output the current electric field intensity value. The electric field intensity data is crucial for assessing the proximity electric hazard between the construction machinery and the high-voltage line. The electric field sensor can work stably under different electromagnetic environmental conditions and trigger an alarm signal when it detects that the electric field intensity exceeds the preset safety threshold.

[0034] The weather sensor is responsible for outputting weather parameters, specifically including wind speed, temperature, and humidity.

[0035] In this embodiment, the camera 12 is used to capture real-time image data of the construction site. The function of the camera 12 is to supplement the data of the sensors, so that the monitoring system can perform more accurate visual assessment. The captured image data can be fused with the information output by the sensors to form a complete set of motion data and proximity electric data.

[0036] The integration of the entire data acquisition process is achieved through the signal transmitter 4. The signal transmitter 4 collects the data obtained by the position sensor, the electric field sensor, the weather sensor, and the camera 12, and transmits it to the signal receiver 3 through wireless signals, and continuously maintains communication connection with the remote server. During data transmission, efficient encoding methods are used to ensure data integrity and accuracy.

[0037] The signal interaction module is used to transmit the motion data and proximity electric data collected by the sensors 7 and the camera 12 to the signal receiver 3 through the signal transmitter 4, and communicate with the remote server. Specifically, it is responsible for transmitting the motion data and proximity electric data obtained by the data acquisition module to the signal receiver 3 through the signal transmitter 4, and then realizing communication with the remote server. This module not only ensures the real-time and accuracy of information transmission, but also provides a reliable data source for subsequent data processing and risk decision-making modules.

[0038] In the specific implementation process, the function of the signal interaction module focuses on data encoding, modulation, and transmission. Generally, this module sets the collected data packets as a signal set with independent data format to ensure the efficiency and safety of information transmission. All signals must be formatted before transmission to facilitate parsing and processing at the receiving end.

[0039] In this embodiment, the signal interaction module adopts advanced wireless communication technology, including but not limited to Wi-Fi, Bluetooth or other wireless protocols suitable for the environment. As an option, this module preferentially selects the Bluetooth Low Energy (BLE) technology, which is suitable for short-distance and efficient transmission.

[0040] During signal transmission, the data is sent from the data acquisition module to the signal receiver 3 through the signal transmitter 4. The formation of data follows the following steps: First, the signal interaction module receives the encoded motion data and near electric data from the data acquisition module. These data include position coordinates P = (x, y, z), electric field intensity E, wind speed V, temperature T and humidity H, and these data are real-time summarized and packaged.

[0041] In this process, the signal interaction module in this embodiment integrates the collected various data into a unified data frame D through a specific data packaging format, which is generally represented as: ; In the formula, P represents the position coordinates, E represents the electric field intensity, V represents the wind speed, T represents the temperature, and H represents the humidity, T represents the time stamp, and represents the time of data acquisition.

[0042] In order to ensure the reliability and integrity of data transmission, the signal interaction module will perform repeated trial transmission before data transmission to ensure that the receiving end confirms successful reception. If no confirmation signal is received within a predetermined time, this module can resend until successful confirmation.

[0043] The state estimation module is used to receive motion data and near electric data, and based on the preset motion model, the current optimal state estimation of the key parts of the construction machinery is obtained through the state estimation algorithm; Specifically, as shown in Figure 9 , the state estimation module is deployed on the processor in the control box 1, and specifically uses the Extended Kalman Filter (EKF) algorithm to realize the state estimation of the nonlinear motion system of the construction machinery. This algorithm can effectively fuse data from different sensors and predict and correct the dynamic process of the system.

[0044] First, a state space model needs to be established for the motion of the construction machinery. Generally, the state vector of the system at time k is defined to comprehensively describe the kinematic characteristics of the key parts of the machinery: ; In the formula, p x , p y , p z represent the position components, v x , vy , v z denotes the velocity component, a x , a y , a z denotes the acceleration component, T denotes the transpose operation.

[0045] The workflow of the state estimation module strictly follows the two stages of prediction and update of the extended Kalman filter.

[0046] Prediction stage: The module predicts the state at the current time k based on the optimal state at the previous time k-1 using the predicted motion model. This motion model is usually an acceleration or constant velocity straight-line motion model and is represented by the state transition matrix F. The formula is expressed as: ; Here, is the predicted state at the current time k, F is the state transition matrix, representing the transition process from time k-1 to time k.

[0047] As an option, the prediction step of the state covariance matrix is shown in the following formula: ; In the formula, denotes the predicted state covariance matrix at time k, denotes the state transition matrix, denotes the optimal state covariance matrix at time k-1, denotes the process noise covariance matrix, is the transpose of the state transition matrix.

[0048] The state estimation module compares the actual observation value transmitted by the data acquisition module through the signal interaction module with the predicted value obtained in the prediction stage. This difference, i.e., the observation residual, is used to correct the predicted state.

[0049] The danger decision module is used to calculate a probability value representing the current near-electricity danger level based on the optimal state estimation and the preset danger model. Specifically, as shown in Figure 10 , the workflow of the danger decision module includes several key steps. First, the module obtains the danger prior probability corresponding to the current position of the construction machinery from the probability danger map . Generally, this probability map is established by analyzing historical data and on-site environmental factors, reflecting the relative danger level of different positions. For example, some areas may have a higher danger prior probability due to the presence of high-voltage lines, while other areas are relatively low.

[0050] As an option, in this embodiment, the danger decision module will combine the optimal state estimation output by the state estimation module analysis is performed. Here, the state estimation including position, velocity, etc. data, can provide detailed state of the machine at a specific time. These information will provide dynamic basis for the calculation of the danger level.

[0051] The danger decision module will first calculate the likelihood between the observed state and the danger model , where the observation is the real-time data currently obtained from the data acquisition module. This calculation can accurately assess the risk faced by the construction machine in the current state, especially the proximity danger related to the construction work.

[0052] Specifically, the danger decision module will use the Bayes formula to calculate the posterior probability to quantify the possibility of the occurrence of the danger state. The formula is expressed as follows: ; wherein, represents the danger posterior probability; represents the likelihood of observing data in the danger state; represents the danger prior probability, reflecting the historical danger in a specific location; represents the normalization constant for the observed data, ensuring that the posterior probability sums to 1.

[0053] In some embodiments, the danger decision module can dynamically adjust the alarm threshold according to the real-time calculation results. These thresholds can be fixed, or can be adjusted according to environmental changes, construction progress and machine state, etc. When the calculated posterior probability exceeds the preset alarm threshold , the module will immediately trigger the sound and light alarm to alert the surrounding construction personnel.

[0054] The alarm execution module triggers the sound and light alarm when the probability value meets the preset alarm condition. Specifically, the working process of the alarm execution module specifically includes three main steps of signal receiving, alarm type judgment and alarm implementation. In the signal receiving step, the alarm execution module first receives the alarm signal from the danger decision module, which contains the posterior probability of the current danger state and the corresponding alarm threshold .

[0055] Generally, the alarm execution module will compare the received alarm state with the preset alarm threshold to determine whether to trigger the alarm. If the posterior probability exceeds the preset threshold , the system will immediately execute the corresponding alarm measures. This mechanism ensures that the system can issue an alarm in time when a dangerous state occurs.

[0056] As an option, the alarm execution module in this embodiment can take different types of alarms according to different levels of danger. For a slight danger situation, the system can issue a short sound alarm, supplemented by low-brightness warning light, to warn the surrounding personnel. In a more serious danger situation, the module will start a high-frequency sound alarm and strong flashing light to cause the construction personnel to be highly alert.

[0057] In the specific implementation of the alarm, the alarm execution module in this embodiment is provided with multiple alarm channels. In addition to traditional sound and light alarms, the module can also broadcast danger information to mobile devices on the construction site through wireless communication technology. This function can improve the range of information dissemination and ensure that construction personnel in unattended areas can also obtain warnings in time.

[0058] Working principle: by pushing the control box 1 and the detection box 2 to move, the control box 1 and the detection box 2 respectively drive the fixed plate 15 to move, so that the two limit plates 14 are respectively inserted into the inside of the first mounting frame 8 and the second mounting frame 11, the fixed pin 16 is pushed to move by the spring 18, the fixed pin 16 is inserted into the inside of the first mounting frame 8 and the second mounting frame 11, and then the control box 1 is fixed on the first mounting frame 8, and the detection box 2 is fixed on the second mounting frame 11, the control box 1 is installed on the cab of the construction machinery through the hole of the first mounting frame 8, and the detection box 2 is installed on the top of the running part of the construction machinery through the hole of the second mounting frame 11; Through the sensor 7, the surrounding information is collected, the image information is collected through the camera 12, and the collected information is transmitted to the signal receiver 3 through the signal transmitter 4, and the information is analyzed, when the machine approaches the high-voltage line, the sound and light alarm is issued through the alarm lamp 9 and the buzzer 10, so as to remind the driver to stop working, the camera 12 is protected through the protective cover 6 arranged on the detection box 2, to prevent foreign matter dust from damaging the camera 12; By starting the motor 507, the first rotating rod 504 is driven to rotate in the inside of the second support frame 503, so that the rotation of the first rotating rod 504 drives the second gear 508 to rotate, the second gear 508 drives the first gear 506 to rotate through the chain, the first gear 506 drives the second rotating rod 505 to rotate in the inside of the second support frame 503, so that the second rotating rod 505 drives the scraper 502 to move, the scraper 502 rotates on the first support frame 501, and the dust attached to the outer wall of the protective cover 6 is scraped off through the movement of the scraper 502, and the scraper 502 is reset by the movement of the motor 507.

[0059] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A construction machine near electric alarm device characterized by comprising: Include: The outer wall of the control box (1) is electrically connected with the signal receiver (3), the outer wall of the detection box (2) is electrically connected with the signal transmitter (4), the signal receiver (3) and the signal transmitter (4) are connected through wireless communication, and the outer wall of the detection box (2) is fixedly connected with the protective cover (6); The cleaning mechanism (5) is installed on the outer wall of the detection box (2); for cleaning the protective cover (6); The cleaning mechanism (5) includes a second support frame (503), the outer wall of the second support frame (503) is fixedly connected to the outer wall of the detection box (2), the outer wall of the second support frame (503) is fixedly connected with the motor (507), the outer wall of the motor (507) is fixedly connected to the inside of the detection box (2), the output end of the motor (507) is fixedly connected with the first rotating rod (504), the outer wall of the first rotating rod (504) is rotatably connected to the inside of the second support frame (503), the outer wall of the first rotating rod (504) is fixedly connected with the second gear (508), the inside of the second support frame (503) is rotatably connected with the second rotating rod (505), the outer wall of the second rotating rod (505) is fixedly connected with the first gear (506), the first gear (506) and the second gear (508) are connected through a chain, one end of the second rotating rod (505) is fixedly connected with the scraper (502), and the inside of the scraper (502) is slidably connected to the outer wall of the protective cover (6).

2. A construction machine proximity warning device according to claim 1, characterized by One end of the scraper (502) is rotatably connected with the first support frame (501), and the outer wall of the first support frame (501) is fixedly connected to the outer wall of the detection box (2).

3. The construction machine proximity warning device according to claim 1, characterized by The outer wall of the detection box (2) is fixedly connected with a support disc (13), the outer wall of the support disc (13) is fixedly connected with a camera (12), the inside of the detection box (2) is fixedly connected with a sensor (7), and one end of the sensor (7) and the camera (12) are both electrically connected with a signal transmitter (4).

4. The construction machine proximity warning device according to claim 1, characterized by The inside of the control box (1) is fixedly connected with an alarm lamp (9), the inside of the control box (1) is fixedly connected with a buzzer (10), and one end of the alarm lamp (9) and the buzzer (10) is electrically connected with a signal receiver (3).

5. The construction machine proximity warning device according to claim 1, characterized by The outer wall of the control box (1) and the detection box (2) is fixedly connected with a fixed plate (15), the outer wall of the fixed plate (15) is fixedly connected with a limiting plate (14), the inside of the fixed plate (15) is slidably connected with a fixed pin (16), one end of the fixed pin (16) is fixedly connected with a spring (18), one end of the spring (18) is fixedly connected to the inside of the fixed plate (15), the outer wall of the fixed pin (16) is fixedly connected with a connecting rod (17), the outer wall of the connecting rod (17) is slidably arranged in the inside of the fixed plate (15), one end of the connecting rod (17) is fixedly connected with a connecting plate (19), and the outer wall of the two limiting plates (14) is fixedly connected with a first mounting frame (8) and a second mounting frame (11).

6. A construction machine near electric alarm monitoring system applied to the construction machine near electric alarm device according to any one of claims 1 to 5, characterized in that, Include: The data acquisition module is configured to acquire construction machinery data, including motion data of a motion state of the construction machinery and near-electricity data of a proximity state to the high-voltage line, through the sensors (7) and the camera (12). The signal interaction module is configured to transmit the motion data and the near-electricity data acquired by the sensors (7) and the camera (12) to the signal receiver (3) through the signal transmitter (4) and communicate with the remote server. The state estimation module is configured to receive the motion data and the near-electricity data and obtain a current optimal state estimation of a key part of the construction machinery based on a preset motion model through a state estimation algorithm. The danger decision module is configured to calculate a probability value representing a current near-electricity danger degree according to the optimal state estimation and a preset danger model. The alarm execution module is configured to trigger an audible and visual alarm when the probability value meets a preset alarm condition.

7. The construction machine near electric alarm monitoring system according to claim 6, characterized by, The sensors (7) in the data acquisition module include a position sensor, an electric field sensor, and a weather sensor. The position sensor is configured to output position coordinates and dynamically acquire real-time position data of the construction machinery. The electric field sensor is configured to acquire surrounding electric field intensity data and output a current electric field intensity value. The weather sensor is configured to acquire weather parameter data and output wind speed, temperature, and humidity values. The camera (12) is configured to capture image data of a construction site. The motion data and the near-electricity data are integrated.

8. The construction machine proximity warning system of claim 6, wherein, The state estimation module specifically adopts an extended Kalman filter algorithm to perform state estimation through the following steps: Based on a preset motion model, the state of the construction machinery is preliminarily predicted to generate an initial state vector. The acquired motion data is compared with the predicted state to calculate the residual error of the observation value. The state estimation is adjusted according to the residual error and the dynamic variance, and the final optimal state estimation and the covariance matrix are output.

9. The construction machine proximity warning system of claim 6, wherein, The danger decision module specifically adopts a Bayesian inference method to calculate the probability value of the current near-electricity danger degree, including the following steps: The danger prior probability corresponding to the current position of the construction machinery is obtained from a probability danger map. The likelihood between the observed state and the danger model is calculated according to the optimal state estimation output by the state estimation module. The posterior probability of the current near-electricity danger degree is calculated through the Bayesian formula by combining the danger prior probability and the likelihood.

10. The construction machine proximity warning system of claim 6, wherein, The alarm execution module implements the following alarm steps according to the probability value output by the danger decision module: The probability value is monitored, and when the value exceeds a preset alarm threshold, the alarm light (9) and the buzzer (10) are triggered to issue an audible and visual alarm. The flashing frequency and color of the alarm light (9) are controlled according to the size of the probability value. The audible and visual alarm continues until the danger state is resolved or the system is manually reset.

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