A proximity alarm device and monitoring system for construction machinery

Abstract

This invention relates to the field of construction machinery safety monitoring technology, and discloses a proximity alarm device and monitoring system for construction machinery. The alarm device includes: a control box and a detection box. A signal receiver is electrically connected to the outer wall of the control box, and a signal transmitter is electrically connected to the outer wall of the detection box. The signal receiver and signal transmitter are wirelessly connected. A protective cover is fixedly connected to the outer wall of the detection box. A cleaning mechanism is installed on the outer wall of the detection box. The cleaning mechanism includes a second support frame, the outer wall of which is fixedly connected to the outer wall of the detection box. A starting motor drives a first rotating rod to rotate inside the second support frame. This rotation of the first rotating rod drives a second gear and a first gear to rotate, causing the second rotating rod to rotate inside the second support frame. This rotation drives a scraper to move, causing the scraper to rotate on the first support frame and clean the outer wall of the protective cover.

Description

Technical Field

[0001] This invention relates to the field of construction machinery safety monitoring technology, specifically to a construction machinery proximity alarm device and monitoring system. Background Technology

[0002] In modern construction environments, the safe operation of construction machinery is crucial. However, existing technologies have several shortcomings in proximity alarm devices and monitoring systems. First, many traditional alarm devices rely on simple threshold monitoring for hazard detection. This approach may work in static environments, but on construction sites, when environmental conditions change, the monitoring standards cannot be adjusted in a timely manner. This directly leads to an inflexible response to hazard signals, often missing immediate safety warnings.

[0003] Current alarm systems commonly used in technology are often set to fixed frequencies and simple modes, failing to consider the diversity and complexity of hazardous situations. This makes traditional alarm mechanisms appear vague and simplistic when facing different levels of risk. Such designs lack effective hierarchical structure, leading to many false alarms or missed alarms, and creating potential safety hazards at construction sites.

[0004] Existing equipment cleaning and maintenance processes are often cumbersome. Traditional cleaning methods rely heavily on manual labor, which is not only inefficient but also prone to overlooking details. For example, the outer wall of the protective cover can easily become contaminated with dirt or dust during construction, affecting the normal operation of the equipment. Some existing mechanical cleaning solutions lack automation, adding extra burden to construction workers and reducing work efficiency.

[0005] Existing technologies generally suffer from cumbersome operation in terms of equipment disassembly, assembly, and maintenance. Many multi-functional devices require multiple steps to complete disassembly and assembly. This not only wastes time but also leads to inconvenience in emergency situations. Traditional solutions often fail to consider the need for rapid disassembly and assembly, limiting the flexibility of equipment use. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a proximity alarm device and monitoring system for construction machinery, which solves the problems of insufficient flexibility in proximity hazard detection at construction sites, limited alarm methods, and cumbersome cleaning and disassembly operations in existing technologies.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a proximity alarm device for construction machinery, comprising:

[0008] The control box and the detection box are equipped with a signal receiver electrically connected to the outer wall of the control box and a signal transmitter electrically connected to the outer wall of the detection box. The signal receiver and the signal transmitter are connected wirelessly. A protective cover is fixedly connected to the outer wall of the detection box.

[0009] A cleaning mechanism, installed on the outer wall of the testing chamber, is used to clean the protective cover.

[0010] The cleaning mechanism includes a second support frame, the outer wall of which 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, and the outer wall 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. The 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 by a chain. A scraper is fixedly connected to one end of the second rotating rod, and the scraper is slidably connected to the outer wall of the protective cover.

[0011] Preferably, one end of the scraper is rotatably connected to a first support frame, and the outer wall of the first support frame is fixedly connected to the outer wall of the detection box.

[0012] Preferably, a support plate is fixedly connected to the outer wall of the detection box, a camera is fixedly connected to the outer wall of the support plate, a sensor is fixedly connected to the inside of the detection box, and one end of the sensor and the camera are electrically connected to a signal transmitter.

[0013] Preferably, an alarm light is fixedly connected inside the control box, and a buzzer alarm is fixedly connected inside the control box. One end of both the alarm light and the buzzer alarm is electrically connected to a signal receiver.

[0014] Preferably, a fixing plate is fixedly connected to the outer wall of the control box and the detection box. A limit plate is fixedly connected to the outer wall of the fixing plate. A fixing pin is slidably connected inside the fixing plate. A spring is fixedly connected to one end of the fixing pin. One end of the spring is fixedly connected inside the fixing plate. A connecting rod is fixedly connected to the outer wall of the fixing pin. The outer wall of the connecting rod is slidably disposed inside the fixing plate. A connecting plate is fixedly connected to one end of the connecting rod. A first mounting bracket and a second mounting bracket are fixedly connected to the outer walls of the two limit plates.

[0015] A near-electric alarm monitoring system for construction machinery, comprising:

[0016] The data acquisition module is used to collect data on construction machinery through sensors and cameras, including motion data of the construction machinery's movement status and proximity data of its proximity to high-voltage lines;

[0017] The signal interaction module is used to transmit motion data and proximity data collected by sensors and cameras to signal receivers via signal transmitters and to communicate with remote servers.

[0018] The state estimation module is used to receive motion data and proximity data, and obtain the current optimal state estimate of key parts of the construction machinery based on the preset motion model and the state estimation algorithm.

[0019] The hazard decision module is used to calculate a probability value that represents the current near-electricity hazard level based on the optimal state estimate and the preset hazard model.

[0020] The alarm execution module triggers an audible and visual alarm when the probability value meets the preset alarm conditions.

[0021] Preferably, the sensors in the data acquisition module include a position sensor, an electric field sensor, and a weather sensor;

[0022] The position coordinates are output by the position sensor to dynamically obtain the real-time position data of the construction machinery;

[0023] The system acquires surrounding electric field strength data using an electric field sensor and outputs the current electric field strength value.

[0024] Meteorological parameter data is acquired through meteorological sensors, and wind speed, temperature, and humidity values ​​are output.

[0025] Capture image data of the construction site using cameras;

[0026] And integrate them into motion data and proximity data.

[0027] Preferably, the state estimation module specifically employs the extended Kalman filter algorithm, and performs state estimation through the following steps:

[0028] Based on the preset motion model, the state of the construction machinery is initially predicted, and an initial state vector is generated.

[0029] The collected motion data is compared with the predicted state, and the residuals of the observed values ​​are calculated.

[0030] The state estimate is adjusted based on the residuals and dynamic variance, and the final optimal state estimate and covariance matrix are output.

[0031] Preferably, the hazard decision-making module specifically employs Bayesian inference to calculate the probability value of the current near-electricity hazard level, including the following steps:

[0032] Obtain the prior probability of danger corresponding to the current position of the construction machinery from the probabilistic hazard map;

[0033] Based on the optimal state estimate output by the state estimation module, calculate the likelihood between the observed state and the hazard model;

[0034] By combining the prior probability of danger and the likelihood, the posterior probability of the current near-electric hazard level is calculated using Bayes' theorem.

[0035] Preferably, the alarm execution module implements the following alarm steps based on the probability value output by the hazard decision module:

[0036] The system monitors the probability value, and when this value exceeds the preset alarm threshold, it triggers the alarm lights and buzzer to emit an audible and visual alarm.

[0037] The flashing frequency and color of the alarm light are controlled according to the probability value;

[0038] The audible and visual alarms continue until the danger is over or the system is manually reset.

[0039] This invention provides a proximity alarm device and monitoring system for construction machinery. It has the following beneficial effects:

[0040] 1. The present invention drives the first rotating rod to rotate inside the second support frame by starting the motor, thereby driving the first rotating rod to rotate the second gear and the first gear, causing the second rotating rod to rotate inside the second support frame, driving the scraper to move, causing the scraper to rotate on the first support frame, and cleaning the outer wall of the protective cover by the movement of the scraper.

[0041] 2. This invention pushes the connecting plate to drive the connecting rod, which in turn drives the fixing pin to compress the spring, thereby removing the fixing pin from the first mounting bracket and the second mounting bracket, and thus removing the fixing plate from the first mounting bracket and the second mounting bracket, thereby achieving the effect of disassembling and assembling the control box and the detection box.

[0042] 3. This invention employs a hazard decision-making technology based on Bayesian inference, achieving accurate real-time assessment of near-electrical hazards at construction sites. Compared to existing simple threshold monitoring schemes, which lack the ability to dynamically consider environmental changes and status information, this invention effectively solves the problem of insufficient flexibility in traditional systems within complex construction environments, thereby improving construction safety.

[0043] 4. This invention introduces a multi-level alarm mechanism and an optimized information transmission scheme into the alarm execution module, achieving the technical effect of precise alarm implementation based on risk level. Compared with the general alarm notification methods in existing technologies, this improved mechanism reduces the possibility of false alarms and missed alarms, solves the safety hazards caused by information lag and ambiguity, and makes the safety response at the construction site more rapid and effective. Attached Figure Description

[0044] Figure 1 This is a perspective view of the control box of the present invention;

[0045] Figure 2 This is a schematic diagram of the detection box of the present invention;

[0046] Figure 3 This is a schematic diagram of the testing box of the present invention after the protective cover has been removed;

[0047] Figure 4 This is a cross-sectional view of the second support frame of the present invention;

[0048] Figure 5 This is a schematic diagram of the control box of the present invention;

[0049] Figure 6 A cross-sectional view of the fixing plate of the present invention. Figure 1 ;

[0050] Figure 7 A cross-sectional view of the fixing plate of the present invention. Figure 2 ;

[0051] Figure 8 This is a system framework diagram of the present invention;

[0052] Figure 9 This is a flowchart of the state estimation module of the present invention;

[0053] Figure 10 This is a flowchart of the hazard decision-making module of the present invention;

[0054] The components include: 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 alarm; 11. Second mounting bracket; 12. Camera; 13. Support plate; 14. Limit plate; 15. Fixing plate; 16. Fixing pin; 17. Connecting rod; 18. Spring; 19. Connecting plate. Detailed Implementation

[0055] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] Please see the appendix Figure 1 -Appendix Figure 7 This invention provides a proximity alarm device and monitoring system for construction machinery, comprising:

[0057] The control box 1 and the detection box 2 are connected. The outer wall of the control box 1 is electrically connected to a signal receiver 3, and the outer wall of the detection box 2 is electrically connected to a signal transmitter 4. The signal receiver 3 and the signal transmitter 4 are connected wirelessly. The outer wall of the detection box 2 is fixedly connected to a protective cover 6. The outer wall of the detection box 2 is fixedly connected to a support plate 13, and the outer wall of the support plate 13 is fixedly connected to a camera 12. The inside of the detection box 2 is fixedly connected to a sensor 7. One end of the sensor 7 and the camera 12 are both electrically connected to the signal transmitter 4. The inside of the control box 1 is fixedly connected to an alarm light 9 and a buzzer alarm 10. One end of the alarm light 9 and the buzzer alarm 10 are both electrically connected to a signal receiver 3.

[0058] Specifically, the control box 1 is installed in the cab of the construction machinery, and the detection box 2 is installed on the top of the operating part of the construction machinery. The control box 1 collects motion data and proximity data through the sensor 7 and the camera 12, and transmits the collected information to the inside of the signal receiver 3 through the signal transmitter 4. The information is analyzed, and when the machinery is close to the high-voltage power line, the alarm light 9 and the buzzer alarm 10 will emit sound and light to remind the driver to stop working. The camera 12 is protected by the protective cover 6 set on the detection box 2 to prevent foreign objects and dust from damaging the camera 12.

[0059] Cleaning mechanism 5, which is installed on the outer wall of the test box 2, is used to clean the protective cover 6;

[0060] The cleaning mechanism 5 includes a second support frame 503, the outer wall of which is fixedly connected to the outer wall of the detection box 2. A motor 507 is fixedly connected to the outer wall of the second support frame 503, and the outer wall of the motor 507 is fixedly connected to the inside of the detection box 2. A first rotating rod 504 is fixedly connected to the output end of the motor 507. The outer wall of the first rotating rod 504 is rotatably connected to the inside of the second support frame 503. A second gear 508 is fixedly connected to the outer wall of the first rotating rod 504. A second rotating rod 505 is rotatably connected to the inside of the second support frame 503. A first gear 506 is fixedly connected to the outer wall of the second rotating rod 505. The first gear 506 and the second gear 508 are connected by a chain. A scraper 502 is fixedly connected to one end of the second rotating rod 505. The scraper 502 is slidably connected to the outer wall of the protective cover 6. A first support frame 501 is rotatably connected to one end of the scraper 502, and the outer wall of the first support frame 501 is fixedly connected to the outer wall of the detection box 2.

[0061] Specifically, the motor 507 drives the first rotating rod 504 to rotate inside the second support frame 503, thereby causing the first rotating rod 504 to rotate, which in turn drives the second gear 508 to rotate. The second gear 508 then drives the first gear 506 to rotate via a chain, which in turn drives the second rotating rod 505 to rotate inside the second support frame 503. This causes the second rotating rod 505 to move the scraper 502, which rotates on the first support frame 501. The movement of the scraper 502 cleans the outer wall of the protective cover 6, scraping off the dust adhering to the outer wall of the protective cover 6. The motor 507 then flips the scraper 502 to return it to its original position.

[0062] A fixing plate 15 is fixedly connected to the outer wall of the control box 1 and the detection box 2. A limit plate 14 is fixedly connected to the outer wall of the fixing plate 15. A fixing pin 16 is slidably connected inside the fixing plate 15. A spring 18 is fixedly connected to one end of the fixing pin 16. One end of the spring 18 is fixedly connected inside the fixing plate 15. A connecting rod 17 is fixedly connected to the outer wall of the fixing pin 16. The outer wall of the connecting rod 17 is slidably set inside the fixing plate 15. A connecting plate 19 is fixedly connected to one end of the connecting rod 17. A first mounting bracket 8 and a second mounting bracket 11 are fixedly connected to the outer walls of the two limit plates 14.

[0063] Specifically, 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 fixing plate 15 to move, so that the two limit plates 14 are inserted into the first mounting frame 8 and the second mounting frame 11 respectively. The spring 18 pushes the fixing pin 16 to move, so that the fixing pin 16 is inserted into the first mounting frame 8 and the second mounting frame 11, thereby fixing the control box 1 on the first mounting frame 8 and fixing the detection box 2 on the second mounting frame 11. The control box 1 is installed in the cab of the construction machinery through the hole on the first mounting frame 8, and the detection box 2 is installed at the top of the operating part of the construction machinery through the hole on the second mounting frame 11. By pushing the connecting plate 19 to drive the connecting rod 17, the connecting rod 17 drives the fixing pin 16 to squeeze the spring 18, thereby removing the fixing pin 16 from the first mounting frame 8 and the second mounting frame 11, thus removing the fixing plate 15 from the first mounting frame 8 and the second mounting frame 11, thereby achieving the effect of disassembling and assembling the control box 1 and the detection box 2.

[0064] A near-electric alarm monitoring system for construction machinery, such as Figure 8 As shown, including;

[0065] The data acquisition module is used to collect construction machinery data through sensor 7 and camera 12, including motion data of the construction machinery's movement status and proximity data of its proximity to high-voltage lines;

[0066] Specifically, the data acquisition module provides raw, real-time, and multi-dimensional observation data for the entire monitoring system. The physical carrier of this module is primarily the detection box 2 deployed at the operating end of the construction machinery and its external connected components. The output of this module, a structured comprehensive data packet, serves as the input to the signal interaction module, thereby providing the necessary data source for the state estimation module.

[0067] In this embodiment, the core of the data acquisition module consists of a sensor 7 integrated inside the detection box 2 and a camera 12 fixed externally. These data acquisition components work together to collect various data reflecting the movement state of the construction machinery itself and its relationship with the external high-voltage electric environment at a synchronized clock frequency.

[0068] Specifically, sensor 7 further includes a position sensor, an electric field sensor, and a weather sensor.

[0069] The position sensor is responsible for outputting the current position coordinates of the construction machinery. This sensor typically uses an RTK-GPS real-time dynamic positioning system, capable of dynamically acquiring real-time position data of the construction machinery with centimeter-level accuracy. Its output data is in the form of three-dimensional coordinates P=(x,y,z), where x, y, and z represent the position of the equipment in the ECEF coordinate system.

[0070] Specifically, in this embodiment, the position sensor receives satellite signals and performs real-time position correction to generate accurate position information. In complex environments, combining the position sensor with information from the inertial navigation system can further improve positioning accuracy.

[0071] Electric field sensors are used to acquire electric field strength data near construction sites and output the current electric field strength value. This data is crucial for assessing the proximity hazard between construction machinery and high-voltage lines. The electric field sensors can operate stably under various electromagnetic environmental conditions, and will trigger a corresponding alarm signal when they detect an electric field strength exceeding a preset safety threshold.

[0072] The weather sensors are responsible for outputting weather parameters, specifically wind speed, temperature, and humidity.

[0073] In this embodiment, camera 12 captures real-time image data of the construction site. The function of camera 12 is to supplement the data from the sensors, enabling the monitoring system to perform more accurate visual assessments. The captured image data can be fused with the information output by the sensors to form a complete set of motion data and proximity data.

[0074] The integration of the entire data acquisition process is achieved through signal transmitter 4. Signal transmitter 4 aggregates data acquired by the position sensor, electric field sensor, weather sensor, and camera 12, transmits it wirelessly to signal receiver 3, and maintains a continuous communication connection with the remote server. During data transmission, an efficient encoding method is employed to ensure data integrity and accuracy.

[0075] The signal interaction module is used to transmit motion data and proximity data collected by sensor 7 and camera 12 to signal receiver 3 through signal transmitter 4, and communicate with remote server;

[0076] Specifically, the module is responsible for transmitting the motion and proximity data acquired by the data acquisition module to the signal receiver 3 via the signal transmitter 4, thereby enabling communication with the remote server. This module not only ensures the real-time and accurate transmission of information but also provides a reliable data source for subsequent data processing and hazard decision-making modules.

[0077] In practical implementation, the signal interaction module focuses on data encoding, modulation, and transmission. Generally, this module sets the collected data packets as a set of signals with independent data formats to ensure efficient and secure information transmission. All signals must undergo a certain formatting process before transmission to facilitate parsing and processing at the receiving end.

[0078] In this embodiment, the signal interaction module employs advanced wireless communication technologies, including but not limited to Wi-Fi, Bluetooth, or other environmentally adaptable wireless protocols. Alternatively, this module preferentially uses Bluetooth Low Energy (BLE) technology, which is suitable for short-range, high-efficiency transmission.

[0079] During signal transmission, data is sent from the data acquisition module to the signal receiver 3 via the signal transmitter 4. The data formation follows these steps:

[0080] First, the signal interaction module receives encoded motion data and proximity data from the data acquisition module. This data includes position coordinates P=(x,y,z), electric field strength E, wind speed V, temperature T, and humidity H, and is aggregated and packaged in real time.

[0081] In this process, the signal interaction module in this embodiment integrates the collected data into a unified data frame D through a specific data encapsulation format, generally represented as:

[0082] ;

[0083] In the formula, The coordinates are: E represents the electric field strength, V represents the wind speed, T represents the temperature, and H represents the humidity. This represents a timestamp, indicating the time when the data was collected.

[0084] To ensure the reliability and integrity of data transmission, the signal interaction module performs repeated exploratory transmissions before sending data to ensure the receiving end confirms successful reception. If no confirmation signal is received within a predetermined time, this module can retransmit until successful confirmation is received.

[0085] The state estimation module is used to receive motion data and proximity data, and obtain the current optimal state estimate of key parts of the construction machinery based on the preset motion model and the state estimation algorithm.

[0086] Specifically, such as Figure 9 As shown, the state estimation module is deployed on the processor inside control box 1, and specifically uses the Extended Kalman Filter (EKF) algorithm to estimate the state 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.

[0087] First, a state-space model needs to be established for the motion of the construction machinery. Generally, the system's state vector... Defined at time k, it is used to comprehensively describe the kinematic properties of key mechanical parts:

[0088] ;

[0089] In the formula, p x p y p z Represents the position component, v x v y v z Represents the velocity component, a x a y a z This represents the acceleration component, and T represents the transpose operation.

[0090] The state estimation module strictly follows the two stages of prediction and update in the extended Kalman filter.

[0091] Prediction phase: The module is based on the optimal state at the previous time step k-1. The state at the current time k is predicted using a predicted motion model. This motion model is typically an accelerated or uniform linear motion model, and is represented by the state transition matrix F. The formula is expressed as: ;

[0092] Here, F is the predicted state at the current time k, and F is the state transition matrix, which represents the transition process from the state at time k-1 to the state at time k.

[0093] As an alternative, the prediction steps for the state covariance matrix are shown in the following formula: ;

[0094] In the formula, Let k represent the predicted state covariance matrix at time k. Represents the state transition matrix. This represents the optimal state covariance matrix at time k-1. Represents the process noise covariance matrix. It is the transpose of the state transition matrix.

[0095] The state estimation module compares the actual observations transmitted from the data acquisition module through the signal interaction module with the predicted values ​​obtained in the prediction stage. This difference, known as the observation residual, is used to correct the predicted state.

[0096] The hazard decision module is used to calculate a probability value that represents the current near-electricity hazard level based on the optimal state estimate and the preset hazard model.

[0097] Specifically, such as Figure 10 As shown, the workflow of the hazard decision-making module includes several key steps. First, the module obtains the prior probability of the hazard corresponding to the current position of the construction machinery from the probabilistic hazard map. Generally, this probability map is built by analyzing historical data and on-site environmental factors, reflecting the relative degree of danger at different locations. For example, some areas may have a higher prior probability of danger due to the presence of high-voltage power lines, while other areas may have a relatively lower probability.

[0098] Alternatively, in this embodiment, the hazard decision-making module will combine the optimal state estimate output by the state estimation module. An analysis is performed. Here, state estimation is conducted. Data including position and speed provides a detailed picture of the machine's status at a specific moment. This information provides a dynamic basis for calculating the degree of danger.

[0099] The hazard decision-making module first calculates the likelihood between the observed state and the hazard model. Among them, the observed values This is real-time data currently acquired from the data acquisition module. This calculation can accurately assess the risks faced by construction machinery in its current state, especially the near-electrical hazards associated with construction operations.

[0100] Specifically, the risk decision-making module will use Bayes' theorem to calculate the posterior probability. This is used to quantify the probability of a dangerous situation occurring. The formula is expressed as follows:

[0101] ;

[0102] In the formula, Indicates the posterior probability of danger; This indicates data observed under hazardous conditions. Likelihood; It represents the prior probability of danger, reflecting the historical danger at a specific location; This represents the normalization constant for the observed data, ensuring that the sum of the posterior probabilities is 1.

[0103] In some embodiments, the hazard decision-making module can dynamically adjust alarm thresholds based on real-time calculation results. These thresholds can be fixed or adjusted according to factors such as environmental changes, construction progress, and machinery status. When the calculated posterior probability... Exceeding the preset alarm threshold When this happens, the module will immediately trigger sound and light alarms to alert nearby construction workers.

[0104] The alarm execution module triggers an audible and visual alarm when the probability value meets preset alarm conditions. Specifically, the alarm execution module's workflow includes three main steps: signal reception, alarm type determination, and alarm implementation. In the signal reception step, the alarm execution module first receives an alarm signal from the hazard decision module, which contains the posterior probability of the current hazard state. and their corresponding alarm thresholds .

[0105] Normally, the alarm execution module compares the received alarm status with a preset alarm threshold to determine whether to trigger an alarm. If the posterior probability... Exceeding the preset threshold The system will immediately execute the corresponding alarm measures. This mechanism ensures that the system can issue timely alarms when a dangerous situation occurs.

[0106] Alternatively, the alarm execution module in this embodiment can trigger different types of alarms based on different levels of hazard. For minor hazards, the system can issue a short audible alarm accompanied by a low-brightness warning light to alert nearby personnel. In more serious hazards, the module will activate a high-frequency audible alarm and a bright flashing light to raise the alertness of construction workers.

[0107] In the specific implementation of the alarm, the alarm execution module in this embodiment is equipped with multiple alarm channels. In addition to traditional sound and light alarms, the module can also broadcast hazard information to mobile devices at the construction site via wireless communication technology. This function can improve the range of information dissemination, ensuring that construction personnel in unattended areas can also receive timely warnings.

[0108] 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 fixing plate 15 to move, so that the two limit plates 14 are respectively inserted into the first mounting frame 8 and the second mounting frame 11. The spring 18 pushes the fixing pin 16 to move, so that the fixing pin 16 is inserted into the first mounting frame 8 and the second mounting frame 11, thereby fixing the control box 1 on the first mounting frame 8 and fixing the detection box 2 on the second mounting frame 11. The control box 1 is installed in 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 on the second mounting frame 11.

[0109] The sensor 7 collects surrounding information, the camera 12 collects image information, and the collected information is transmitted to the signal receiver 3 through the signal transmitter 4. The information is analyzed and the alarm light 9 and the buzzer alarm 10 are used to sound and light alarm when the machine is close to the high voltage line, thereby reminding the driver to stop working. The protective cover 6 set on the detection box 2 protects the camera 12 to prevent foreign objects and dust from damaging the camera 12.

[0110] The motor 507 drives the first rotating rod 504 to rotate inside the second support frame 503, which in turn drives the second gear 508 to rotate. The second gear 508 drives the first gear 506 to rotate via a chain, which in turn drives the second rotating rod 505 to rotate inside the second support frame 503. This causes the second rotating rod 505 to move the scraper 502, which rotates on the first support frame 501. The movement of the scraper 502 cleans the outer wall of the protective cover 6, scraping off the dust adhering to the outer wall of the protective cover 6. The motor 507 then flips the scraper 502 to return it to its original position.

[0111] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A construction machine near electric alarm monitoring system using a construction machine near electric alarm device, characterized by, The construction machinery near electric alarm device comprises: A control box (1) and a detection box (2), an outer wall of the control box (1) is electrically connected with a signal receiver (3), an outer wall of the detection box (2) is electrically connected with a signal transmitter (4), the signal receiver (3) and the signal transmitter (4) are connected through wireless communication, and an outer wall of the detection box (2) is fixedly connected with a protective cover (6); A 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), an outer wall of the second support frame (503) is fixedly connected to the outer wall of the detection box (2), an 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), an 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), and the inside of the scraper (502) is slidably connected to the outer wall of the protective cover (6). The construction machinery near electric alarm monitoring system comprises: A data acquisition module is used for collecting construction machinery data through a sensor (7) and a camera (12), including motion data of a motion state of the construction machinery and near electric data of a high-voltage line proximity state; A signal interaction module is used for transmitting the motion data and the near electric data collected by the sensor (7) and the camera (12) to the signal receiver (3) through the signal transmitter (4) and communicating with a remote server; A state estimation module is used for receiving the motion data and the near electric data and obtaining a current optimal state estimation of a key part of the construction machinery through a state estimation algorithm based on a preset motion model; A dangerous decision module is used for calculating a probability value representing a current near electric danger degree according to the optimal state estimation and a preset danger model; An alarm execution module triggers an audible and light alarm when the probability value meets a preset alarm condition; The dangerous decision module specifically adopts a Bayesian inference method, and the calculation of the probability value of the current near electric danger degree comprises the following steps: A dangerous prior probability corresponding to a current position of the construction machinery is obtained from a probability danger map; A likelihood degree between an observed state and a danger model is calculated according to the optimal state estimation output by the state estimation module; 2. The construction machine near electric alarm monitoring system according to claim 1, characterized by, A posterior probability of the current near electric danger degree is calculated through a Bayesian formula in combination with the dangerous prior probability and the likelihood degree. One end of the scraper (502) is rotatably connected with a first support frame (501), and an outer wall of the first support frame (501) is fixedly connected to the outer wall of the detection box (2).

3. The construction machine near electric alarm monitoring system 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 near electric alarm monitoring system 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) are both electrically connected with a signal receiver (3).

5. The construction machine proximity warning system of claim 1, wherein, The outer walls of the control box (1) and 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 in 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 walls of the two limiting plates (14) are fixedly connected with a first mounting bracket (8) and a second mounting bracket (11).

6. The construction machine proximity warning system of claim 1, wherein, The sensor (7) in the data acquisition module comprises a position sensor, an electric field sensor and a weather sensor; The position sensor outputs position coordinates to dynamically obtain real-time position data of the construction machinery; The electric field sensor obtains surrounding electric field intensity data to output a current electric field intensity value; The weather sensor obtains weather parameter data to output wind speed, temperature and humidity values; The camera (12) captures image data of the construction site; And integrates motion data and near electric data.

7. The construction machine proximity warning system of claim 1, wherein, The state estimation module specifically adopts an extended Kalman filtering 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 collected motion data are compared with the predicted state to calculate the residual error of the observation value; According to the residual error and the dynamic variance, the state estimation is adjusted, and the final optimal state estimation and the covariance matrix are output.

8. The construction machine proximity warning system of claim 1, 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 lamp (9) and the buzzer (10) are triggered to issue sound and light alarms; The flicker frequency and color of the alarm lamp (9) are controlled according to the size of the probability value; The sound and light alarm lasts until the danger state is removed or the system is manually reset.

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