Radiation monitoring closed-loop control early warning system

Abstract

The invention provides a radiation monitoring closed-loop control early warning system, which comprises an Xray device, a radiation detector, a data processing module, a control module and an early warning module, and is characterized in that the signal end of the Xray device is connected with the signal end of the radiation detector, and the signal end of the control module is connected with the signal end of the early warning module; and a safety circuit is arranged in the Xray equipment. The Xray equipment, the radiation detector, the data processing module and the control module form a control closed loop to ensure that the Xray equipment can be stopped immediately during radiation leakage, so that a radiation source is cut off quickly, instant response is realized, the response speed of radiation leakage is increased, the safety of the whole working process is enhanced, and the working efficiency is improved. According to the method, more reliable protection is provided for operators, through a radiation prediction algorithm, a complex non-linear relation can be processed, the change trend of the radiation level can be predicted more accurately, the probability of false alarm and missing alarm is reduced, and the accuracy and credibility of an early warning system are improved.

Description

Technical Field

[0001] The invention relates to a control and early warning system, in particular to a radiation monitoring closed-loop control and early warning system, and belongs to the technical field of radiation monitoring. Background Art

[0002] Xray equipment, or X-ray inspection equipment, is a device that uses X-ray imaging technology to perform non-destructive testing on the internal structure of an object. Xray equipment is widely used in SMT (surface mount technology) and the semiconductor industry. Its high penetration and high resolution make it play an important role in non-destructive testing, quality control, defect analysis, etc.

[0003] Xray equipment can provide non-destructive internal views for SMT production lines, allowing engineers to observe the internal structure of printed circuit boards, including those parts that are difficult to see with the naked eye, such as the bottom solder joints of BGA (ball grid array package) and CSP (chip scale package). Through Xray inspection, defects such as missing components, component tilt, and cracked solder joints can be discovered and corrected in a timely manner to ensure product reliability and stability.

[0004] Once radiation leakage occurs during operation of X-ray equipment, it will affect the staff and damage their blood system, reproductive system, endocrine system, etc.

[0005] In the prior art, radiation detectors are often used to monitor radiation leakage, but they do not form a closed-loop control with X-ray equipment. As a result, when radiation leakage is found, the working state of the X-ray equipment cannot be controlled. Therefore, a radiation monitoring closed-loop control early warning system is proposed. Summary of the invention

[0006] In view of this, the present invention provides a radiation monitoring closed-loop control early warning system to solve or alleviate the technical problems existing in the prior art and at least provide a beneficial option.

[0007] The technical solution of the embodiment of the present invention is implemented as follows: a radiation monitoring closed-loop control early warning system comprises an Xray device, a radiation detector, a data processing module, a control module and an early warning module, wherein the signal end of the Xray device is connected to the signal end of the radiation detector, the signal end of the radiation detector is connected to the signal end of the data processing module, the signal end of the data processing module is connected to the signal end of the control module, and the signal end of the control module is connected to the signal end of the early warning module;

[0008] A safety circuit is provided inside the Xray device, and the safety circuit is used to receive a circuit-breaking signal from the control module and automatically cut off the power supply of the Xray device or key components;

[0009] The radiation detector is used to monitor the radiation level generated during the operation of the X-ray device in real time. The radiation detector is also used to measure the dose rate or cumulative dose of the X-rays and send the data to the data processing module;

[0010] The data processing module is used to receive data transmitted by the radiation detector, process and analyze the data, and use the radiation prediction algorithm to determine whether the radiation level exceeds the standard;

[0011] The radiation prediction algorithm comprises the following steps:

[0012] Acquiring historical radiation data as a training set and a test set, wherein the historical radiation data includes radiation levels, time periods, and environmental conditions;

[0013] Extracting characteristic data related to radiation levels from the data, the characteristics including radiation intensity, duration and frequency distribution;

[0014] Build a prediction model, use the training set data to train the prediction model, adjust the model parameters, and optimize the prediction performance of the model;

[0015] Use the test set data to evaluate the trained prediction model, detect the accuracy and generalization ability of the prediction model, and tune the prediction model based on the evaluation results;

[0016] The trained model is deployed to the system. The system substitutes the received radiation data into the prediction model for prediction. When the prediction result shows that the radiation level exceeds the standard, the warning instruction is triggered.

[0017] Establish a feedback mechanism to iteratively optimize the model based on actual warning effects and user feedback, including updating training data, adjusting model parameters, and improving algorithms;

[0018] The control module is used to receive the warning instruction from the data processing module and disconnect the safety circuit of the Xray device through the relay;

[0019] The early warning module is used to receive the early warning instruction from the data processing module and send out both sound and light alarm signals.

[0020] Further preferably, the signal end of the Xray device is connected to a status monitoring module;

[0021] The state monitoring module is used to monitor the operating state of the Xray device using a sensor array, and the sensor array is used to monitor the device temperature, vibration, and current parameters.

[0022] Further preferably, the signal end of the state monitoring module is connected to a potential fault analysis module;

[0023] The potential failure analysis module is used to analyze equipment data using a predictive maintenance algorithm to predict potential failures and maintenance requirements.

[0024] Further preferably, the predictive maintenance algorithm comprises the following steps:

[0025] Obtain operating data of Xray equipment, including temperature, vibration and current data;

[0026] Extract characteristic information that can reflect the operating status of the equipment based on temperature, vibration, and current parameter data;

[0027] Build a predictive maintenance model and train the model using historical data and feature information;

[0028] Input the real-time collected data into the trained model for predictive analysis;

[0029] Predictive maintenance models predict the type and timing of equipment failure based on input data;

[0030] Based on the fault prediction results, the maintenance needs of the equipment are further predicted, including maintenance time and maintenance content.

[0031] Further preferably, the predictive maintenance model learns the mapping relationship between equipment status and potential failures during training.

[0032] Further preferably, the sensor array includes a temperature sensor, a vibration sensor and a current sensor.

[0033] Further preferably, the signal end of the potential fault analysis module is connected to a monitoring management module;

[0034] The monitoring management module includes a display panel;

[0035] The display panel is used to display the operating status of the system as well as radiation data, equipment status and alarm records.

[0036] Further preferably, the monitoring management module also includes a remote monitoring module;

[0037] The remote monitoring module is used to allow remote users to remotely access and monitor the system via the Internet.

[0038] Further preferably, the remote monitoring module is also used to view radiation data, equipment status and alarm record information, and perform remote configuration and management.

[0039] Further preferably, the signal end of the data processing module is connected to a data storage module, and the signal end of the data storage module and the signal end of the data processing module are both connected to the signal end of the monitoring and management module;

[0040] The data storage module is used to store all radiation data, alarm records and operation logs generated by the system.

[0041] Since the embodiment of the present invention adopts the above technical solution, it has the following advantages: the present invention forms a control closed loop by connecting the Xray device, the radiation detector, the data processing module and the control module to ensure that the Xray device can be stopped immediately when radiation leaks, thereby quickly cutting off the radiation source and achieving immediate response, which not only improves the response speed of radiation leakage, but also enhances the safety of the entire workflow and provides more reliable protection for operators. Through the radiation prediction algorithm, it can handle complex nonlinear relationships, more accurately predict the changing trend of radiation levels, reduce the probability of false alarms and missed alarms, and improve the accuracy and credibility of the early warning system. It can also provide intelligent decision-making support for radiation data processing and early warning systems, helping the system to more accurately determine whether the radiation level exceeds the standard. When the radiation level exceeds the standard, the system can automatically trigger a warning signal and prepare to send a stop command to the control module to achieve intelligent early warning.

[0042] The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present invention will be readily apparent by reference to the accompanying drawings and the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 This is a system structure diagram of the radiation monitoring closed-loop control early warning system of the present invention. DETAILED DESCRIPTION

[0045] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the spirit or scope of the present invention. Therefore, the drawings and descriptions are considered to be exemplary and non-restrictive in nature.

[0046] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0047] like Figure 1As shown, an embodiment of the present invention provides a radiation monitoring closed-loop control and early warning system, including an Xray device, a radiation detector, a data processing module, a control module and an early warning module, wherein a signal end of the Xray device is connected to a signal end of the radiation detector, a signal end of the radiation detector is connected to a signal end of the data processing module, a signal end of the data processing module is connected to a signal end of the control module, and a signal end of the control module is connected to a signal end of the early warning module;

[0048] A safety circuit is provided inside the Xray device, which is used to receive the circuit-breaking signal from the control module and automatically cut off the power supply of the Xray device or key components;

[0049] The radiation detector is used to monitor the radiation level generated by the X-ray equipment in real time during operation. The radiation detector is also used to measure the dose rate or cumulative dose of X-rays and send the data to the data processing module. The radiation detector can ensure the accuracy and reliability of the data. By providing real-time radiation data, it can provide a basis for subsequent early warning and control.

[0050] The data processing module is used to receive data transmitted by the radiation detector, process and analyze the data, and use the radiation prediction algorithm to determine whether the radiation level exceeds the standard. Once the radiation level exceeds the preset threshold, an early warning signal is immediately triggered and a stop command is prepared to be sent to the control module;

[0051] The radiation prediction algorithm includes the following steps:

[0052] Obtain historical radiation data as training sets and test sets. The historical radiation data includes radiation levels, time periods, and environmental conditions. After obtaining the data, perform preprocessing operations such as cleaning, denoising, and normalization on the data to improve the data quality and algorithm training efficiency.

[0053] Extract feature data related to radiation levels from the data, including radiation intensity, duration, and frequency distribution. Select the features that have the greatest impact on the prediction results based on their importance and relevance, in order to reduce the complexity of the model and improve the prediction accuracy.

[0054] Build a prediction model, use the training set data to train the prediction model, adjust the model parameters, and optimize the prediction performance of the model;

[0055] Use the test set data to evaluate the trained prediction model, test the accuracy and generalization ability of the prediction model, and optimize the prediction model based on the evaluation results, such as adjusting model parameters, changing algorithms, etc., to improve the prediction performance of the model;

[0056] The trained model is deployed to the system. The system substitutes the received radiation data into the prediction model for prediction. When the prediction result shows that the radiation level exceeds the standard, the warning instruction is triggered.

[0057] Establish a feedback mechanism to iteratively optimize the model based on actual warning effects and user feedback, including updating training data, adjusting model parameters, and improving algorithms to improve the accuracy and reliability of the system;

[0058] The radiation prediction algorithm can handle complex nonlinear relationships and more accurately predict the changing trend of radiation levels. By learning and understanding the inherent laws of radiation data, it can reduce the probability of false alarms and missed alarms, improve the accuracy and credibility of the early warning system, and provide intelligent decision support for radiation data processing and early warning systems, helping the system to more accurately determine whether the radiation level exceeds the standard.

[0059] The control module is used to receive the warning instruction from the data processing module and disconnect the safety circuit of the Xray equipment through the relay. The control module is a relay;

[0060] The early warning module is used to receive the early warning instruction from the data processing module and send out sound and light alarm signals. The early warning module is an audible and visual alarm.

[0061] In one embodiment, the signal end of the Xray device is connected to a status monitoring module;

[0062] The status monitoring module is used to monitor the operating status of the Xray equipment using a sensor array. The sensor array is used to monitor the temperature, vibration, and current parameters of the equipment. The status monitoring module can realize real-time monitoring of the equipment status, thereby providing data support for fault analysis.

[0063] In one embodiment, the signal end of the status monitoring module is connected to a potential fault analysis module;

[0064] The potential failure analysis module is used to analyze equipment data using predictive maintenance algorithms to predict potential failures and maintenance needs;

[0065] The predictive maintenance algorithm includes the following steps:

[0066] Obtain operating data of Xray equipment, including temperature, vibration and current data;

[0067] Extract characteristic information that can reflect the operating status of the equipment based on temperature, vibration, and current parameter data;

[0068] Build a predictive maintenance model and use historical data and feature information to train the model. During the training process, the predictive maintenance model learns the mapping relationship between equipment status and potential failures.

[0069] Input the real-time collected data into the trained model for predictive analysis;

[0070] Predictive maintenance models predict the type and timing of equipment failure based on input data;

[0071] Based on the fault prediction results, further predict the maintenance needs of the equipment, including maintenance time and maintenance content;

[0072] The predictive maintenance algorithm achieves accurate prediction of potential failures and maintenance needs of X-ray equipment through steps such as data collection, preprocessing, feature extraction, model building and training. This process not only improves the reliability and service life of the equipment, but also reduces the risk of radiation leakage and production interruptions caused by equipment failure.

[0073] In one embodiment, the sensor array includes a temperature sensor, a vibration sensor, and a current sensor, and the temperature, vibration, and current data of the X-ray device can be monitored in real time through the temperature sensor, the vibration sensor, and the current sensor.

[0074] In one embodiment, the signal end of the potential fault analysis module is connected to a monitoring management module;

[0075] The monitoring and management module includes a display panel;

[0076] The display panel is used to display the system's operating status, radiation data, equipment status and alarm records;

[0077] The monitoring and management module also includes a remote monitoring module;

[0078] The remote monitoring module is used to allow remote users to remotely access and monitor the system via the Internet;

[0079] The remote monitoring module is also used to view radiation data, equipment status and alarm record information, and to perform remote configuration and management;

[0080] The remote monitoring module is composed of a cloud server, remote monitoring software, and a network communication interface. Through the remote monitoring module, the remote manageability and response speed of the system are improved, allowing managers to monitor and intervene in the system anytime and anywhere.

[0081] In one embodiment, the signal end of the data processing module is connected to the data storage module, and the signal end of the data storage module and the signal end of the data processing module are both connected to the signal end of the monitoring management module;

[0082] The data storage module is used to store all radiation data, alarm records and operation logs generated by the system. Through the data storage module, the system can be provided with powerful data storage and analysis capabilities to support long-term data tracing and trend analysis, which helps to improve the overall performance and safety of the system.

[0083] When the present invention is working: the radiation level of the Xray equipment during operation is continuously monitored through a radiation detector, and the data is transmitted to a data processing module, the data processing module quickly processes and analyzes the received data, determines whether the radiation level exceeds the standard, triggers an early warning signal when the radiation exceeds the standard, and sends a stop command to the control module, the control module disconnects the safety circuit of the Xray equipment through a relay, so that the equipment stops working immediately, the remote monitoring module transmits the early warning information and equipment status to a host computer or a remote monitoring center in real time, and provides feedback to the staff through a display panel, monitors the working data of the Xray equipment through a status monitoring module, and accurately predicts the potential failures and maintenance requirements of the Xray equipment through a potential failure analysis module, thereby reducing the risk of radiation leakage caused by equipment failure.

[0084] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of various changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. Radiation monitoring closed-loop control and early warning system, including X-ray equipment, radiation detector, data processing module, control module and early warning module, Features: The signal end of the Xray device is connected to the signal end of the radiation detector, the signal end of the radiation detector is connected to the signal end of the data processing module, the signal end of the data processing module is connected to the signal end of the control module, and the signal end of the control module is connected to the signal end of the early warning module; A safety circuit is provided inside the Xray device, and the safety circuit is used to receive a circuit-breaking signal from the control module and automatically cut off the power supply of the Xray device or key components; The radiation detector is used to monitor the radiation level generated during the operation of the X-ray device in real time. The radiation detector is also used to measure the dose rate or cumulative dose of the X-rays and send the data to the data processing module; The data processing module is used to receive data transmitted by the radiation detector, process and analyze the data, and use the radiation prediction algorithm to determine whether the radiation level exceeds the standard; The radiation prediction algorithm comprises the following steps: Acquiring historical radiation data as a training set and a test set, wherein the historical radiation data includes radiation levels, time periods, and environmental conditions; Extracting characteristic data related to radiation levels from the data, the characteristics including radiation intensity, duration and frequency distribution; Build a prediction model, use the training set data to train the prediction model, adjust the model parameters, and optimize the prediction performance of the model; Use the test set data to evaluate the trained prediction model, detect the accuracy and generalization ability of the prediction model, and tune the prediction model based on the evaluation results; The trained model is deployed to the system. The system substitutes the received radiation data into the prediction model for prediction. When the prediction result shows that the radiation level exceeds the standard, the warning instruction is triggered. Establish a feedback mechanism to iteratively optimize the model based on actual warning effects and user feedback, including updating training data, adjusting model parameters, and improving algorithms; The control module is used to receive the warning instruction from the data processing module and disconnect the safety circuit of the Xray device through the relay; The early warning module is used to receive the early warning instruction from the data processing module and send out both sound and light alarm signals.

2. The radiation monitoring closed-loop control early warning system according to claim 1, Features: The signal end of the Xray device is connected to a status monitoring module; The state monitoring module is used to monitor the operating state of the Xray device using a sensor array, and the sensor array is used to monitor the device temperature, vibration, and current parameters.

3. The radiation monitoring closed-loop control early warning system according to claim 2, Features: The signal end of the state monitoring module is connected to a potential fault analysis module; The potential failure analysis module is used to analyze equipment data using a predictive maintenance algorithm to predict potential failures and maintenance requirements.

4. The radiation monitoring closed-loop control early warning system according to claim 3, Features: The predictive maintenance algorithm comprises the following steps: Obtain operating data of Xray equipment, including temperature, vibration and current data; Extract characteristic information that can reflect the operating status of the equipment based on temperature, vibration, and current parameter data; Build a predictive maintenance model and train the model using historical data and feature information; Input the real-time collected data into the trained model for predictive analysis; Predictive maintenance models predict the type and timing of equipment failure based on input data; Based on the fault prediction results, the maintenance needs of the equipment are further predicted, including maintenance time and maintenance content.

5. The radiation monitoring closed-loop control early warning system according to claim 4, Features: During the training process, the predictive maintenance model learns the mapping relationship between equipment status and potential failures.

6. The radiation monitoring closed-loop control early warning system according to claim 5, Features: The sensor array includes a temperature sensor, a vibration sensor, and a current sensor.

7. The radiation monitoring closed-loop control early warning system according to claim 6, Features: The signal end of the potential fault analysis module is connected to a monitoring management module; The monitoring management module includes a display panel; The display panel is used to display the operating status of the system as well as radiation data, equipment status and alarm records.

8. The radiation monitoring closed-loop control early warning system according to claim 7, Features: The monitoring management module also includes a remote monitoring module; The remote monitoring module is used to allow remote users to remotely access and monitor the system via the Internet.

9. The radiation monitoring closed-loop control early warning system according to claim 8, Features: The remote monitoring module is also used to view radiation data, equipment status and alarm record information, and perform remote configuration and management.

10. The radiation monitoring closed-loop control early warning system according to claim 9, Features: The signal end of the data processing module is connected to the data storage module, and the signal end of the data storage module and the signal end of the data processing module are both connected to the signal end of the monitoring management module; The data storage module is used to store all radiation data, alarm records and operation logs generated by the system.

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