Radiology department radioactive ray detection system
By designing a radiation detection system in the radiology department, and using a central analysis module and a data acquisition module to establish a radiation intensity model, calculate the total radiation and issue early warnings, the problem of timely early warning for long-term radiation exposure in the radiology department was solved, and the accuracy of early warning and the effectiveness of prevention were improved.
Patent Information
- Application Number
- CN202511511100.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-22
- Publication Date
- 2026-01-23
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing technologies are insufficient for timely and effective early warning and prevention of long-term radiation exposure for doctors and patients in radiology departments, making it difficult to detect and prevent the effects of chronic radiation in a timely manner.
A radiation detection system for radiology departments was designed, including a central nervous system analysis module, a data acquisition module, and a radiation early warning module. By continuously collecting radiation attenuation data and personnel activity data, a radiation intensity model is established, the total radiation is calculated, and the result is compared with a threshold for early warning.
It enables accurate calculation and timely early warning of the total radiation exposure of personnel in the radiology department, improving the accuracy of early warning and providing effective preventive measures.
Smart Images
Figure CN121385960A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the field of radiation detection, and relates to a radiation detection system for radiology department. BACKGROUND
[0002] Radiology department is an important auxiliary examination department, and many diseases of various clinical departments need to be checked by radiology department equipment to achieve clear diagnosis and auxiliary diagnosis. When the radiology department equipment detects diseases, most of the generated radiation will produce radiation, and excessive radiation dose will have a greater impact on the human body, so radiation detection is very necessary.
[0003] With the progress of radiation protection technology, the walls, glass and the like in the radiology department are treated to resist radiation, which can effectively block part of the radiation. However, as the working place of some doctors, the radiology department will still have an impact on the doctors' bodies if exposed for too long, and this chronic impact is difficult to be discovered in time, so that the human body has been seriously harmed when the radiation impact is perceived. Therefore, a radiation detection system for radiology department is urgently needed. SUMMARY
[0004] The present application aims to at least solve one of the technical problems existing in the prior art. To this end, the present application provides a radiation detection system for radiology department, which is used to solve the technical problem that the prior art is difficult to detect the radiation impact for a long time, so that timely and effective early warning and prevention of radiation damage cannot be achieved.
[0005] To achieve the above-mentioned purpose, the first aspect of the present application provides a radiation detection system for radiology department, comprising a central analysis module, and a data acquisition module and a radiation warning module connected thereto. The central analysis module continuously acquires radiation attenuation data in the radiology department through the data acquisition module, and simulates and establishes a radiation intensity model based on the radiation attenuation data. The radiation intensity model simulates the radiation attenuation at different positions in the radiology department. The central analysis module acquires personnel activity data in the radiology department through the data acquisition module, and establishes personnel identifiers based on the personnel activity data. The radiation intensity model is combined to calculate the total radiation of each personnel identifier within a radiation retention period. The radiation retention period is the longest time that radiation remains in the human body. The central analysis module compares the total radiation with a radiation amount threshold to determine whether to give a warning. If yes, the radiation warning module is used to give a warning. If no, the personnel identifier and the total radiation are associated and saved.
[0006] Preferably, the central analysis module is in communication and / or electrical connection with the data acquisition module and the radiation warning module, respectively. The radiation warning module gives a radiation warning through an intelligent device. The data acquisition module is in communication and / or electrical connection with a database and a radiation detection device; wherein the radiation detection device is distributed in a radiology department, and the database stores personnel activity data in the radiology department.
[0007] Preferably, the data acquisition module continuously acquires radiation attenuation data in the radiology department, including: The data acquisition module controls the radiation detection device reasonably arranged at each position in the radiology department to continuously acquire the radiation intensity of the corresponding position; The radiation intensity attenuation of each position in the radiology department is analyzed, and the radiation attenuation data in the radiology department is obtained after data processing; wherein the radiation attenuation data corresponding to different reflection lines is different.
[0008] Preferably, the radiation intensity model is simulated and established based on the radiation attenuation data, including: Obtaining the radiation attenuation data in the radiology department; Constructing the radiation intensity model by combining the radiation attenuation data and three-dimensional modeling software; wherein the radiation intensity model includes a single intensity model or a continuous intensity model.
[0009] Preferably, the data acquisition module acquires personnel activity data in the radiology department, and personnel identification is established based on the personnel activity data, including: Obtaining personnel activity data; wherein the personnel activity data includes medical activity data or patient activity data; Extracting personnel feature data in the personnel activity data, and calculating the hash value of the personnel feature data as the personnel identification; wherein the personnel feature data includes name or face image.
[0010] Preferably, the radiation intensity model is simulated and established based on the radiation attenuation data, including: Determining the radiation retention period; wherein the radiation retention period is obtained based on experimental data; Identifying and analyzing the personnel activity data corresponding to each personnel identification, and mapping the personnel activity data into the radiation intensity model to obtain the corresponding radiation total amount in the radiation retention period.
[0011] Preferably, the radiation intensity model is simulated and established based on the radiation attenuation data, including: Determining a new radiation retention period based on the last radiation early warning time; Simulating the personnel activity data in the radiation intensity model, counting the total radiation received by each part of the corresponding personnel in the radiation retention period, and associating and storing the corresponding personnel identification.
[0012] Preferably, the comparison of the radiation total amount and the radiation amount threshold value to determine whether to perform early warning includes: an amount of radiation threshold is acquired, wherein the amount of radiation threshold is set according to different parts of the human body respectively; the total amount of radiation is compared with the corresponding amount of radiation threshold, and a warning signal is generated according to the comparison result; and radiation warning is performed according to the warning signal.
[0013] Compared with the prior art, the present application has the following advantages: 1. The present application continuously collects radiation attenuation data in a radiology department, and simulates and establishes a radiation intensity model based on the radiation attenuation data; personnel activity data is mapped into the radiation intensity model to calculate the total amount of radiation received by the corresponding personnel within a radiation retention period; the present application can accurately calculate the total amount of radiation received by the personnel through data stereoscopic, and effectively avoid radiation hazards in a timely manner.
[0014] 2. The present application maps the personnel activity data into the radiation intensity model to obtain the total amount of radiation of the whole body or the total amount of radiation of each part, and then compares it with the corresponding amount of radiation threshold to perform radiation warning; the present application can perform graded warning on the radiation received by the human body, improve the warning accuracy, and provide a good prevention idea. BRIEF DESCRIPTION OF DRAWINGS
[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.
[0016] Figure 1 It is a system principle schematic diagram of the present application; Figure 2 It is a working step schematic diagram of the present application. DETAILED DESCRIPTION
[0017] The technical solutions of the present application will be described in detail below in conjunction with the embodiments. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0018] Please refer to Figure 1The first aspect embodiment of the present application provides a radiology department radiation detection system, which comprises a central analysis module, a data acquisition module and a radiation early warning module connected to the central analysis module; the central analysis module continuously acquires radiation attenuation data in the radiology department through the data acquisition module, and simulates and establishes a radiation intensity model based on the radiation attenuation data; the central analysis module acquires personnel activity data in the radiology department through the data acquisition module, and establishes personnel identification based on the personnel activity data; the radiation intensity model is combined to calculate the total radiation of each personnel identification within a radiation retention period; the central analysis module compares the total radiation with a radiation threshold to determine whether to perform early warning; if yes, the radiation early warning module is used to perform early warning; if no, the personnel identification and the total radiation are associated and saved.
[0019] In the present application, the central analysis module is in communication and / or electrical connection with the data acquisition module and the radiation early warning module; the data acquisition module is in communication and / or electrical connection with the database and the radiation detection device.
[0020] The central analysis module is mainly responsible for data analysis and processing, and generates an early warning signal according to the processing result; the central analysis module mainly interacts with the data acquisition module and the radiation early warning module. The data acquisition module is mainly responsible for data acquisition, including acquiring personnel activity data through the database of the radiology department or the corresponding hospital, and acquiring radiation attenuation data through the radiation detection device arranged in the radiology department. The radiation early warning module performs early warning on the relevant personnel according to the processing result of the central analysis module, mainly by sending an early warning signal to an intelligent device such as a mobile phone or a computer.
[0021] The radiation detection device is arranged in the radiology department, where the radiology department does not refer to a single room for radiation detection, but includes rooms that will be affected by radiation during the radiation detection process, and at least one radiation detection device is arranged in each room; the radiation detection device mainly includes an ionizing radiation detector, an electromagnetic radiation detector, etc.
[0022] The database stores personnel activity data in the radiology department, including doctor activity data or patient activity data. The doctor activity data includes the doctor's duty table, the shift table and the specific work trajectory of the radiology department, and is mainly used to analyze whether the total radiation received by the doctor is excessive. The patient activity data includes the examination record in the radiology department and the subsequent examination arrangement of the radiology department, and is used to analyze whether the total radiation received by the patient is excessive. The personnel activity data also includes necessary identity data of the doctor or the patient, such as name, ID number, face image, etc., which are all used after authorization by the person concerned, and if not authorized, other data or numbers can be used instead.
[0023] In a preferred embodiment, the radiation attenuation data in the radiology department is continuously collected by the data collection module, including: the data collection module controls the radiation detection device reasonably arranged at each position in the radiology department to continuously collect the radiation intensity of the corresponding position; analyzing the radiation intensity attenuation of each position in the radiology department, and obtaining the radiation attenuation data in the radiology department after data processing.
[0024] The radiation detection device in the radiology department is always in an open state, and continuously collects the radiation intensity of the corresponding position. In this way, taking the radiation generating device (that is, the radiation generating device) as the center, the radiation intensity of each position in the radiology department can be obtained when the radiation passes through each time, and the attenuation process of the radiation in the radiology department can be obtained through data interpolation processing and other means, and then the radiation attenuation data is obtained. It should be noted that in the case of fine interpolation processing, the radiation intensity of any position in the radiology department can be extracted from the radiation attenuation data; however, in most cases, only the radiation intensity of a specific position needs to be extracted.
[0025] In an optional embodiment, a radiation intensity model is simulated and established based on the radiation attenuation data, including: obtaining the radiation attenuation data in the radiology department; and constructing a radiation intensity model in combination with the radiation attenuation data and three-dimensional modeling software.
[0026] After the radiation attenuation data is determined, the radiation attenuation data can be stereotyped by three-dimensional modeling software; the role of the three-dimensional modeling software here is similar to that of electromagnetic simulation software, and only the data needs to be stereotyped in the present application.
[0027] The radiation intensity model in the present application includes a single intensity model or a continuous intensity model. The data basis of the single intensity model is the radiation attenuation data collected during the operation of the radiation generating device in the radiology department each time, and the radiation intensity model is generated after the single collected radiation attenuation data is stereotyped. The data basis of the continuous intensity model is the radiation attenuation data collected during the operation of the radiation generating device in the radiology department in a period of time, and the multiple continuous radiation attenuation data is combined into one radiation intensity model.
[0028] It is worth noting that the radiation generating device may emit different types of radiation, and the radiation attenuation data and attenuation law corresponding to different types of radiation are different. Therefore, when the radiation generated by the radiation generating device is the same in a period of time, a continuous intensity model is constructed; otherwise, a single intensity model is constructed. In this way, the total amount of radiation calculated can be accurate and reliable.
[0029] In a preferred embodiment, the personnel activity data of the radiology department is collected by the data collection module, and the personnel identification is established based on the personnel activity data, including: obtaining the personnel activity data; extracting the personnel feature data in the personnel activity data, and calculating the hash value of the personnel feature data as the personnel identification.
[0030] In order to ensure that no personal privacy is involved in the entire radiation detection and analysis process, a unique identification needs to be set for each person. In this embodiment, data capable of representing the uniqueness of the personnel, such as name, ID number or face image, is extracted from the database, and the hash value thereof is calculated as the unique identification, that is, the personnel identification. It should be noted that the personnel feature data is deleted after obtaining the personnel identification, so as to avoid leakage of related data.
[0031] In a preferred embodiment, the joint radiation intensity model calculates the total radiation corresponding to each personnel identification within the radiation retention period, including: determining the radiation retention period; identifying and analyzing the personnel activity data corresponding to each personnel identification, and mapping the personnel activity data into the radiation intensity model to obtain the total radiation within the radiation retention period.
[0032] The radiation retention period is obtained based on experimental data. For example, if the relevant experiment shows that the surface radiation will remain in the human body for 1-2 months, the radiation retention period is set to 2 months. Then, the personnel activity data corresponding to the personnel identification is analyzed, and the personnel activity data (mainly the height of the personnel, the activity trajectory and the activity duration) is combined with the radiation intensity model to calculate the total radiation. Specifically, according to the activity duration, the corresponding radiation intensity model is selected, based on the activity trajectory, it can be calculated that the personnel is active under which radiation intensity, and the radiation intensity received within the activity duration is counted to obtain the total radiation.
[0033] For example, 20 seconds are stayed at position one, 30 seconds are stayed at position two, and 10 seconds are stayed at position three; the total radiation FZL received can be obtained by the formula FZL=α×(20×FQ1+30×FQ2+10×FQ3); α is a proportionality coefficient set according to experience, and FQ1, FQ2 and FQ3 represent the radiation intensity of position one, position two and position three respectively.
[0034] In some other preferred embodiments, in order to more accurately detect the total radiation received by a certain personnel, the moving track of each part in the radiation intensity model can be determined according to the height and other data of the personnel, and then the total radiation received by each part can be calculated.
[0035] In a preferred embodiment, the personnel activity data is mapped into the radiation intensity model to obtain the total radiation corresponding to the radiation persistence period, comprising: determining a new radiation persistence period based on the last radiation warning time; simulating the personnel activity data in the radiation intensity model, and counting the total radiation corresponding to each part of the personnel in the radiation persistence period, and storing the total radiation in association with the corresponding personnel identification.
[0036] After each radiation warning, it is considered that the processing has been performed, and the new radiation persistence period can be determined based on the last radiation warning time (the first time is calculated from the start time of the radiation detection device). Here, determining the new radiation persistence period means determining the time from which the total radiation is counted and calculated under the condition that the time span is unchanged.
[0037] In an optional embodiment, the total radiation is compared with the radiation threshold to determine whether to perform the warning, comprising: obtaining the radiation threshold; wherein the radiation threshold is set according to different parts of the human body; comparing the total radiation with the corresponding radiation threshold, and generating a warning signal according to the comparison result; and performing the radiation warning according to the warning signal.
[0038] When the personnel is analyzed as a whole, the total radiation of the whole is compared with the radiation threshold of the whole; when a part of the human body is analyzed, the total radiation of the part is compared with the radiation threshold of the part. When the warning signal is generated, the total radiation generally does not exceed the corresponding radiation threshold, so that a good warning effect can be achieved. Moreover, as many levels of warning as possible are set to facilitate prevention.
[0039] Please refer to Figure 2 The second aspect embodiment of the present application provides a radiology department radiation detection method, comprising: continuously collecting radiation attenuation data in the radiology department, and simulating and establishing a radiation intensity model based on the radiation attenuation data; wherein the radiation intensity model simulates the radiation attenuation in different positions in the radiology department; collecting personnel activity data in the radiology department, and establishing personnel identification based on the personnel activity data; calculating the total radiation corresponding to each personnel identification in the radiation persistence period in combination with the radiation intensity model; comparing the total radiation with the radiation threshold to determine whether to perform the warning; if yes, performing the warning; and if no, storing the personnel identification and the total radiation in association.
[0040] Some data in the above formula are calculated by removing the dimension and taking the numerical value, and the formula is obtained by simulating a large amount of collected data to obtain a formula closest to the actual situation; the preset parameters and the preset threshold in the formula are set by the person skilled in the art according to the actual situation or obtained by simulating a large amount of data.
[0041] The working principle of the present application is as follows: Continuously collect radiation attenuation data in the radiology department, and simulate a radiation intensity model based on the radiation attenuation data; wherein the radiation intensity model simulates the radiation attenuation at different positions in the radiology department.
[0042] Collect personnel activity data in the radiology department, and establish personnel identifiers based on the personnel activity data; and calculate the total radiation corresponding to each personnel identifier within a radiation retention period in combination with the radiation intensity model.
[0043] Compare the total radiation with a radiation threshold value to determine whether to perform a warning; if yes, perform a warning; and if no, save the personnel identifier and the total radiation in association.
[0044] The above examples are only used to illustrate the technical method of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.
Claims
1. A radiology radiation detection system comprising a central analysis module, and a data acquisition module and a radiation warning module connected thereto; characterized in that: the central analysis module continuously acquires radiation attenuation data in the radiology department through the data acquisition module, and simulates a radiation intensity model based on the radiation attenuation data; wherein the radiation intensity model simulates the radiation attenuation at different positions in the radiology department; the central analysis module acquires personnel activity data in the radiology department through the data acquisition module, and establishes personnel identifiers based on the personnel activity data; in combination with the radiation intensity model, the total radiation corresponding to each personnel identifier within a radiation retention period is calculated; wherein the radiation retention period is the longest time for radiation to remain in the human body; the central analysis module compares the total radiation with a radiation threshold value to determine whether to issue a warning; if so, a warning is issued through the radiation warning module; otherwise, the personnel identifiers and the total radiation are associated and saved. the central analysis module is in communication and / or electrical connection with the data acquisition module and the radiation warning module; wherein the radiation warning module issues a radiation warning through a smart device; 2. The radiology use radiographic system of claim 1, wherein, the data acquisition module is in communication and / or electrical connection with a database and a radiation detection device; wherein the radiation detection device is distributed in the radiology department, and the database stores personnel activity data in the radiology department. the continuous acquisition of radiation attenuation data in the radiology department by the data acquisition module comprises:
3. The radiology use radiographic detection system of claim 1, wherein, the data acquisition module controls the radiation detection devices reasonably arranged at various positions in the radiology department to continuously acquire the radiation intensity at the corresponding positions; the radiation intensity attenuation at each position in the radiology department is analyzed, and the radiation attenuation data in the radiology department is obtained after data processing; wherein the radiation attenuation data corresponding to different types of radiation is different. the simulation of the radiation intensity model based on the radiation attenuation data comprises:
4. The radiology use radiographic detection system of claim 1, wherein, obtaining radiation attenuation data in the radiology department; constructing a radiation intensity model in combination with the radiation attenuation data and a three-dimensional modeling software; wherein the radiation intensity model includes a single intensity model or a continuous intensity model. the acquisition of personnel activity data in the radiology department by the data acquisition module, and the establishment of personnel identifiers based on the personnel activity data, comprises:
5. The radiology use radiographic detection system of claim 1, wherein, obtaining personnel activity data; wherein the personnel activity data includes medical activity data or patient activity data; extracting personnel feature data from the personnel activity data, and calculating the hash value of the personnel feature data as the personnel identifier; wherein the personnel feature data includes name or face image. the calculation of the total radiation corresponding to each personnel identifier within the radiation retention period in combination with the radiation intensity model, comprises:
6. The radiology use radiographic detection system of claim 1, wherein, determining the radiation retention period; wherein the radiation retention period is obtained based on experimental data; identifying and analyzing the personnel activity data corresponding to each personnel identifier, and mapping the personnel activity data into the radiation intensity model to obtain the corresponding total radiation within the radiation retention period. the mapping of the personnel activity data into the radiation intensity model to obtain the corresponding total radiation within the radiation retention period, comprises:
7. The radiology use radiographic detection system of claim 6, wherein, determining a new radiation retention period based on the last radiation warning time. The personnel activity data is simulated in the radiation intensity model, the total radiation received by each part of the corresponding personnel in the radiation retention period is counted, and the total radiation is stored in association with the corresponding personnel identifier.
8. The radiology use radiographic detection system of claim 1 or 7, wherein, The total radiation is compared with the radiation threshold to determine whether to perform a warning, including: The radiation threshold is obtained; wherein the radiation threshold is set according to different parts of the human body; The total radiation is compared with the corresponding radiation threshold, and a warning signal is generated according to the comparison result; and the radiation warning is performed according to the warning signal.