Shelter layout evaluation method and device based on human factor engineering

Abstract

The invention provides a shelter layout evaluation method and device based on human factor engineering, equipment and a medium, and the method comprises the steps: firstly, generating a human factor engineering simulation model through setting the motion process of multiple medical processes based on statistical data; afterwards, based on the human factor engineering simulation model, static human factor engineering analysis is carried out on the static posture of the operation object, and a static human factor engineering evaluation index is generated. Meanwhile, dynamic human factor engineering analysis is carried out on the action track of the operation object, and a dynamic human factor engineering evaluation index is generated. And finally, on the basis of the static human factor engineering evaluation indexes and the dynamic human factor engineering evaluation indexes, through collaborative analysis of multiple medical processes, an evaluation index model is generated, and on the basis of the evaluation index model, layout optimization and evaluation of the cabin are completed. According to the embodiment of the invention, the low-cost layout of the shelter hospital is realized, the operation efficiency of medical staff is ensured, and the body burden of the medical staff is relieved.

Description

Technical Field

[0001] The present invention belongs to the field of equipment manufacturing and simulation technology, and in particular to a method and device, equipment and medium for evaluating the layout of a shelter based on human factors engineering. Background Art

[0002] With the widespread application of Fangcang hospitals in military, medical and emergency fields, how to improve their work efficiency has become a key issue. As a special closed space, the medical staff, medical equipment and environment inside the Fangcang are interconnected and interdependent, forming a complex system. Due to the limited space, the interaction between personnel, equipment and environment is particularly complex, which directly affects work efficiency, medical quality and rescue effect. Therefore, the design of Fangcang needs to solve problems such as space layout, workflow, equipment configuration, etc. to ensure that the Fangcang can operate efficiently and comfortably. This makes how to optimize the internal layout of the Fangcang quickly and at low cost during the design stage a problem that needs to be solved by existing technologies.

[0003] In response to this problem, existing technologies have gradually applied human factors engineering simulation technology in the design of square cabins, attempting to optimize and analyze by simulating medical processes and spatial layouts. These methods can achieve low-cost, fast-iterative design verification, and help designers evaluate the impact of different layout schemes on factors such as the operating efficiency of medical staff and the comfort of the working environment. For example, medical process simulation technology can simulate the operating path of medical staff in the square cabin, thereby optimizing the layout and reducing unnecessary movement. However, these existing technologies still have certain shortcomings, mainly manifested in the lack of comprehensive and systematic human-computer environment interaction analysis, especially in emergency environments, where the complex medical equipment and personnel requirements in the square cabin are difficult to fully cover through a single simulation method. In addition, the existing technology has weak response capabilities to a variety of different emergency situations, making it difficult to achieve all-round, multi-scenario verification.

[0004] Therefore, one or more methods are needed to solve the above problems.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] The embodiments of the present invention provide a method and apparatus, a device and a medium for evaluating the layout of a shelter based on human factors engineering, thereby overcoming one or more problems caused by the limitations and defects of related technologies at least to a certain extent.

[0007] According to one aspect of the present disclosure, a shelter layout evaluation method based on human factors engineering is provided, comprising:

[0008] Based on statistical data, the human factors engineering simulation model is generated by setting the action process of multiple medical processes;

[0009] Based on the human factors engineering simulation model, a static human factors engineering analysis is performed on the static posture of the operating object to generate a static human factors engineering evaluation index;

[0010] Based on the human factors engineering simulation model, a dynamic human factors engineering evaluation index is generated by performing a dynamic human factors engineering analysis on the motion trajectory of the operation object;

[0011] Based on the static ergonomics evaluation indicators and the dynamic ergonomics evaluation indicators, an evaluation indicator model is generated through collaborative analysis of multiple medical processes, and based on the evaluation indicator model, the layout optimization and evaluation of the cabin are completed.

[0012] In an exemplary embodiment of the present disclosure, the action process of multiple medical procedures is set, including:

[0013] Based on statistical data, the three-dimensional features of the operation object are modeled through digital human body modeling technology to generate a three-dimensional digital human body model;

[0014] Based on the medical process setting, the interactive relationship between the operation object and the equipment environment is set to generate action simulation process information;

[0015] By introducing the action simulation process information into the three-dimensional digital human body model, an ergonomics simulation model is constructed.

[0016] In an exemplary embodiment of the present disclosure, a static human factors engineering analysis is performed on the static posture of the operating object, including:

[0017] Based on the human factors engineering simulation model, the visibility of the target object is analyzed through the range of the human eye's visual cone to complete the visual field analysis;

[0018] Based on the human factors engineering simulation model, the sight line analysis is completed by calculating the contact sight distance between the human eye sight line and the target object;

[0019] Based on the human factors engineering simulation model, the window analysis is completed by simulating the first-person perspective of the operating object;

[0020] Visibility analysis is completed by integrating the visual area analysis, line of sight analysis, and window analysis.

[0021] In an exemplary embodiment of the present disclosure, a static human factors engineering analysis is performed on the static posture of the operating object, including:

[0022] Based on the human factors engineering simulation model, upper limb reachable envelope analysis is completed by drawing the position, upper limb size, and joint range of motion of the operator;

[0023] Based on the human factors engineering simulation model, taking the shoulder position of the operator as the origin, the upper limb comfort envelope analysis is completed by drawing the activity range of the end nodes of the operator's hand;

[0024] The accessibility analysis is completed by integrating the upper limb reachable envelope analysis and the upper limb comfort envelope analysis.

[0025] In an exemplary embodiment of the present disclosure, a static human factors engineering analysis is performed on the static posture of the operating object, including:

[0026] Based on the human factors engineering simulation model, an upper limb group and a trunk group are generated by grouping the upper active parts of the operating object;

[0027] The comfort analysis is completed by recording the posture parameters of the upper limb group and the trunk group, and scoring the upper limb group and the trunk group respectively based on a preset scoring rule;

[0028] By integrating the visibility analysis, accessibility analysis, and comfort analysis, a static ergonomics evaluation index is generated.

[0029] In an exemplary embodiment of the present disclosure, a dynamic human factors engineering analysis is performed on the motion trajectory of the operating object, including:

[0030] Based on the human factors engineering simulation model, the absolute position and steering information of the operating object are collected and calculated at a preset frequency to complete the walking path analysis;

[0031] Based on the human factors engineering simulation model, the angle of lumbar vertebra bending of the operating subject is recorded at a preset frequency to generate lumbar vertebra recording information;

[0032] Based on the lumbar vertebrae recorded information, the lumbar vertebrae fatigue accumulation analysis is completed by calculating the proportion of the accumulated time when the lumbar vertebrae bending angle exceeds a preset threshold;

[0033] By integrating the walking path analysis and lumbar spine fatigue accumulation analysis, dynamic ergonomics evaluation indicators are generated.

[0034] In an exemplary embodiment of the present disclosure, an evaluation index model is generated by collaboratively analyzing multiple medical processes, and based on the evaluation index model, the layout optimization and evaluation of the cabin are completed, including:

[0035] By checking the interference and collision between operation objects in multiple medical processes, collaborative space analysis is completed;

[0036] Based on the collaborative space analysis, an evaluation index model is constructed by analyzing the relationship between the static ergonomics evaluation index and the dynamic ergonomics evaluation index;

[0037] Based on the evaluation index model, the cabin layout of the other cabin is iteratively optimized to complete the evaluation of the other cabin layout.

[0038] In one aspect of the present disclosure, a shelter layout assessment device based on human factors engineering is provided, comprising:

[0039] The human factors engineering simulation model building module is used to generate a human factors engineering simulation model by setting the action process of multiple medical processes based on statistical data;

[0040] The static ergonomics evaluation index generation module generates static ergonomics evaluation indexes by performing static ergonomics analysis on the static posture of the operating object;

[0041] The dynamic ergonomics evaluation index generation module generates dynamic ergonomics evaluation indicators by performing dynamic ergonomics analysis on the motion trajectory of the operation object;

[0042] The evaluation index model construction module generates an evaluation index model based on the static ergonomics evaluation index and the dynamic ergonomics evaluation index by collaboratively analyzing multiple medical processes, and completes the layout optimization and evaluation of the cabin based on the evaluation index model.

[0043] In one aspect of the present disclosure, there is provided an electronic device, comprising:

[0044] Processor; and

[0045] A memory having computer-readable instructions stored thereon, wherein the computer-readable instructions, when executed by the processor, implement the method according to any one of the above items.

[0046] In one aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method according to any one of the above items is implemented.

[0047] The beneficial effects brought by the present invention are as follows:

[0048] It can be seen from the above scheme that an embodiment of the present invention provides a method for evaluating the layout of a shelter based on ergonomics. The method first generates an ergonomics simulation model by setting the action process of multiple medical processes based on statistical data. Afterwards, based on the ergonomics simulation model, a static ergonomics analysis is performed on the static posture of the operating object to generate a static ergonomics evaluation index. At the same time, a dynamic ergonomics analysis is performed on the motion trajectory of the operating object to generate a dynamic ergonomics evaluation index. Finally, based on the above-mentioned static ergonomics evaluation index and dynamic ergonomics evaluation index, an evaluation index model is generated by collaboratively analyzing multiple medical processes, and based on the evaluation index model, the layout optimization and evaluation of the shelter are completed. Thus, the embodiment of the present disclosure provides a low-cost, fast iterative optimization scheme for the internal layout of a shelter hospital to ensure the operating efficiency of medical staff and the patient treatment environment, improve the efficiency of emergency treatment, and at the same time reduce the physical burden of medical staff and improve the success rate of emergency treatment.

[0049] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

[0050] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a flow chart of a method for evaluating shelter layout based on human factors engineering according to an embodiment of the method disclosed herein;

[0052] Figure 2 A decision logic flow chart of a shelter layout assessment method based on human factors engineering according to an embodiment of the method disclosed herein;

[0053] Figure 3 This is a flow chart of an evaluation index system of a shelter layout evaluation method based on human factors engineering according to an embodiment of the method disclosed herein;

[0054] Figure 4 This is a structural block diagram of a shelter layout assessment device based on human factors engineering according to an embodiment of the method disclosed herein;

[0055] Figure 5 A block diagram of an electronic device according to an embodiment of the method disclosed herein. DETAILED DESCRIPTION

[0056] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] In the embodiment of the present disclosure, a shelter layout evaluation method based on human factors engineering is first provided; Figure 1 As shown in , the shelter layout evaluation method based on human factors engineering may include the following steps:

[0058] Step S110, based on statistical data, by setting the action process of multiple medical procedures, generating a human factors engineering simulation model;

[0059] Step S120, generating static ergonomics evaluation indicators by performing static ergonomics analysis on the static posture of the operating object based on the ergonomics simulation model;

[0060] Step S130, based on the human factors engineering simulation model, by performing dynamic human factors engineering analysis on the motion trajectory of the operation object, generating a dynamic human factors engineering evaluation index;

[0061] Step S140, based on the static ergonomics evaluation index and the dynamic ergonomics evaluation index, an evaluation index model is generated by collaboratively analyzing multiple medical processes, and based on the evaluation index model, the layout optimization and evaluation of the cabin are completed.

[0062] Next, a shelter layout evaluation method based on human factors engineering in an embodiment of the present disclosure will be further described.

[0063] In step S110, based on statistical data, the action process of multiple medical procedures can be set to generate a human factors engineering simulation model;

[0064] In some optional embodiments of this example, Figure 2 As shown, SoErgo ergonomics simulation analysis software is used as the software environment, in which a simulation model environment of the cabin hospital cabin is constructed.

[0065] First, build a model environment of medical cabins in the software environment, such as operating cabins and emergency resuscitation cabins.

[0066] Afterwards, a digital human body model of Chinese medical personnel that conforms to statistical data was created based on "GB / T 10000 Human Body Dimensions of Chinese Adults". By defining data information such as the gender, percentile, height, etc. of the medical personnel (operation objects), a three-dimensional digital human body model was constructed.

[0067] Then, according to the steps and descriptions of the corresponding medical process, the number and position of surgical instruments, instrument tables, and surgical devices in the medical cabin are set. And according to the content of the surgery performed in the Fangcang Hospital, the position, steering, joint movement angle, and interaction relationship between the medical staff (operation object) and the surrounding equipment environment are set according to the steps of the medical process. Through the built-in action generation and task process algorithm in the SoErgo software, the set postures are connected to form a continuous and dynamic medical collaboration process.

[0068] Finally, a human factors engineering simulation model is constructed in combination with a three-dimensional digital human model to achieve human factors engineering analysis based on posture or action. At the same time, it is also necessary to record the changes in joint angles of medical personnel (operation subjects) during activities in real time to provide support for subsequent analysis and evaluation of comfort and bending fatigue accumulation.

[0069] In step S120, Figure 2-Figure 3 As shown, based on the human factors engineering simulation model, static human factors engineering analysis can be performed on the static posture of the operating object to generate static human factors engineering evaluation indicators. The static human factors engineering evaluation indicators can be divided into the analysis of visibility, accessibility and comfort of posture in key medical processes, so as to effectively solve the problems of insufficient consideration of medical personnel (operating objects) and difficult design iterations in the design process of medical cabins.

[0070] In some optional embodiments of this example, visibility analysis includes viewshed analysis, line of sight analysis, and window analysis.

[0071] View analysis is to analyze the visibility of the target object or interface based on the human eye's line of sight and the viewing distance from the human eye to the target object. View analysis starts from the human eyeball and makes a cone (also called a viewing cone) with the viewing angle as the vertex angle and the viewing distance as the mother line length. It determines whether the target device and interface in the simulation scene are within the optimal viewing cone with a vertex angle of 30°; and whether the target device and interface in the simulation scene are within the effective viewing cone with a vertex angle of 60°. It determines whether the object falling within the viewing cone is considered to have good visibility.

[0072] Window analysis simulates the first-person perspective of medical personnel (operating subjects) and intuitively displays the visible range.

[0073] Line of sight analysis is to simulate and calculate the contact distance between the medical staff's (operating object) line of sight and the target object, and intuitively display the distance between the line of sight and the target object and whether there is any obstruction.

[0074] In some optional embodiments of this example, the accessibility analysis includes upper limb reachable envelope analysis and upper limb comfort envelope analysis. Based on the segment length of the upper limbs of the digital human body, and the limitation of the range of joint motion based on human physiological characteristics, the corresponding reachable envelope surface is drawn according to the position, upper limb size and joint motion range of the medical staff (operating object), and it is determined whether the target object is within the reachable envelope. For example, in order to meet the needs of medical staff (operating object) to adjust the operation of the shadowless lamp, it is necessary to ensure that the handle of the shadowless lamp is within the reachable envelope with the palm of the medical staff (operating object) as the end node.

[0075] In addition, the comfort reachable envelope of the hand end node is drawn according to the shoulder position of the medical staff (operation object). For example, in order to ensure the comfort of the arm of the medical staff (operation object) during a long period of surgical operation, a comfort reachable envelope with the palm as the end node is drawn to analyze whether the palm is within the comfort reachable envelope, thereby judging the comfort of the arm at this time, so as to achieve the comfort envelope analysis of the upper limb.

[0076] In some optional embodiments of this example, according to the setting of the medical process, it is necessary to analyze the comfort of the medical staff (operating object) in key operations and processes. Here, the RULA (rapid upper limb assessment) method is used to evaluate the comfort of the upper body of the medical staff (operating object). The evaluation results will be represented in color and displayed on the body surface of the human model and the software interface. For example, the medical staff (operating object) wears a cardiopulmonary resuscitation device for the injured. Because the medical bed is short, the trunk lumbar spine is bent and the upper arm is raised, which is relatively uncomfortable and is displayed by highlighting. Finally, the overall evaluation conclusion and the measures that need to be taken for improvement are given through the SoErgo software interface to complete the analysis of comfort.

[0077] The Rapid Upper Limb Assessment (RULA) method used in this example detects factors such as working posture, number of movements, static muscle fatigue, and frequency of movement, and gives a weighted posture assessment score. When recording and evaluating, the parts of the human body related to upper limb activities are divided into two groups, A and B. Group A is the upper limb group including the upper arm, forearm, and wrist, and Group B is the trunk group including the neck, legs, and trunk. Record the parameters such as the position and angle of the two groups of parts during work for scoring, and obtain the final comfort score and evaluation conclusion.

[0078] For Group A (upper limb group), the arm movement elements can be decomposed into the angle of the upper arm deviating from the center position and the angle of the forearm deviating from the center position. The wrist movement elements are the angle of the wrist deviating from the center position and whether it is twisted. Taking the upper arm as an example, 1 point is given if the upper arm swings forward or backward within 20°, 2 points are given if the front swing is between 20°-45° or the back swing exceeds 20°, 3 points are given if the front swing is between 45°-90°, and 4 points are given if the front swing exceeds 90°. If the upper arm is raised to the side by more than 30°, add 1 point; if the shoulder (clavicular joint) is raised by more than 10°, add 1 point; if the arm is supported, subtract 1 point.

[0079] Using the above rules, the four parameters of upper arm score, forearm score, wrist score and wrist twist score are calculated respectively, and corresponded to the upper limb assessment table corresponding to the assessment method to obtain the score of the arm and wrist. Then the force application frequency and load are considered. If the static force application exceeds one minute, or the action frequency exceeds 4 times per minute, one point is added; at the same time, the score is recorded according to the weight of the load.

[0080] For group B (trunk group), the action elements are decomposed into the angle of the neck off the center position, the balance and support of the legs, and the angle of the trunk off the center position. Similar to group A, the scoring parameters of the neck score, leg score, and trunk score are calculated respectively, and corresponded to the trunk evaluation table corresponding to the evaluation method to obtain the comfort score of the trunk. Then the scores of force application frequency and load are considered.

[0081] The final RULA score can be obtained by crossing the scores of Group A and Group B. In this example, the final score is divided into four levels: 1-2 points, which is considered a comfortable posture; 3-4 points, which is considered a relatively comfortable posture and improvement measures need to be taken as appropriate; 5-6 points, which is considered an uncomfortable posture and improvement measures need to be taken as soon as possible; 7 points, which is considered an extremely uncomfortable posture and needs to be improved immediately.

[0082] In step S130, Figure 2-Figure 3 As shown, based on the human factors engineering simulation model, dynamic human factors engineering analysis can be performed on the motion trajectory of the operating object to generate dynamic human factors engineering evaluation indicators. The dynamic human factors engineering evaluation indicators can be divided into walking path analysis and lumbar spine fatigue accumulation analysis in key medical processes, so as to effectively reduce the walking distance of medical staff (operating objects) during emergency treatment, and reduce occupational injuries caused by bad postures such as long-term bending.

[0083] In some optional embodiments of this example, according to the steps of the medical process, the absolute position and steering information of the digital human body are obtained in real time in the simulation scene, recorded at a frequency of 10Hz, and the distance between two adjacent position points is calculated and collected, and the distance is accumulated to obtain the walking path records of different medical personnel (operation objects), which include the walking length and the proportion of the walking time to the total duration of the medical process. Preferably, the walking paths of different medical personnel (operation objects) can also be displayed in different colors in the simulation scene to complete the analysis of the walking paths.

[0084] In some optional embodiments of this example, according to the steps of the medical process, the bending angle of the lumbar spine of the digital human body is obtained in real time in the simulation scene and recorded at a frequency of 10 Hz. When the lumbar bending angle exceeds the set threshold, the cumulative time of bending exceeding the threshold is calculated, as well as the corresponding proportion of the total task time, and the proportion of lumbar fatigue time is counted to complete the analysis of lumbar spine fatigue accumulation.

[0085] In step S140, based on the static ergonomics evaluation indicators and the dynamic ergonomics evaluation indicators, an evaluation indicator model can be generated by collaboratively analyzing multiple medical processes, and based on the evaluation indicator model, the layout optimization and evaluation of the cabin can be completed.

[0086] In some optional embodiments of this example, the design of the square cabin hospital usually includes 2 or 4 corresponding beds to cope with the situation of multiple concurrent medical processes. Therefore, according to the setting of the medical process, when two medical processes are carried out at two locations in the cabin at the same time, it is necessary to check the interference and collision of equipment, personnel, etc. in the two medical processes, so as to achieve sufficient space for the collaborative process through collaborative space analysis. For example, while an operation is being carried out, the patient is transferred into the cabin on the other side. The reserved space is limited and medical equipment will collide. If necessary, equipment replacement can be considered.

[0087] Afterwards, an evaluation index model was established based on the above analysis of visibility, accessibility, comfort, walking path length, and bending fatigue accumulation of different medical personnel (operating objects).

[0088] In this evaluation index model, on the one hand, visibility is a relatively independent indicator. Therefore, for devices with relatively poor visibility, the height and angle of the device can be appropriately adjusted according to the range of the cone of vision and the principle that the line of sight is perpendicular to the interface to improve the visibility of medical staff during the medical process.

[0089] On the other hand, the accessibility index needs to be considered together with the comfort and bending fatigue index. Based on the existing medical process simulation cases, most medical processes and medical devices are within the limit of reachability, but in some processes, medical staff are in a state of arm discomfort or lumbar fatigue. Therefore, when solving the problem of inaccessibility, it is necessary to consider each case. In a specific example, in order to solve the problem of inaccessibility of high-altitude equipment, the height of the equipment can be appropriately lowered, but it cannot be lower than the tallest medical staff, which will affect their walking; in order to solve the problem of inaccessibility of low-altitude objects, the placement of the equipment can be appropriately raised; in order to solve the problem of inaccessibility of distant objects, it can be done by moving the instrument table or adding an instrument table, but it is necessary to ensure that the newly added instrument table will not affect the walking of other medical staff. At the same time, in order to solve the problem of bending fatigue, the height of the instrument table and the operating bed can be appropriately raised, but it is necessary to ensure the comfort of the arm and the operating posture within the comfortable and reachable range. For example, in order to solve the problem of lumbar spine fatigue of tall medical staff, the height of the operating table is raised. At the same time, it is necessary to consider the height of the tall medical staff's arms to ensure the comfort of their arms and to ensure that the overall fatigue time of multiple medical staff is short.

[0090] In addition, the walking path length index needs to be comprehensively considered with the cabin space layout and the collaboration of medical staff. By analyzing the path, find out the locations with the most back and forth and the locations of detours, and optimize the cabin layout and medical process. For example, more back and forth can be optimized by adding instrument tables or mobile equipment positions; detours can be optimized by appropriately changing the operating steps of medical staff. However, it is necessary to avoid the synchronization of the walking path of another medical staff due to the shortening of the walking path of one medical staff, or even excessive growth. The overall walking path of all medical staff in the medical process should be kept short, and the walking time of key medical staff should be kept to a minimum in the total medical process time.

[0091] Finally, the structure and layout of the medical cabin are iteratively optimized according to the various indicators in the evaluation index model to shorten the design and verification cycle, reduce the cost of design modification, and form a positive iterative cycle.

[0092] It should be noted that, although the steps of the method in the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.

[0093] In addition, in this exemplary embodiment, a shelter layout evaluation device based on human factors engineering is also provided. Figure 4As shown, the shelter layout assessment device 400 based on human factors engineering may include: a human factors engineering simulation model construction module 410, a static human factors engineering assessment index generation module 420, a dynamic human factors engineering assessment index generation module 430, and an assessment index model construction module 440. Among them:

[0094] The human factors engineering simulation model building module 410 is used to generate a human factors engineering simulation model by setting the action process of multiple medical procedures according to statistical data;

[0095] A static ergonomics evaluation index generating module 420 generates a static ergonomics evaluation index by performing a static ergonomics analysis on the static posture of the operating object;

[0096] A dynamic ergonomics evaluation index generation module 430 generates a dynamic ergonomics evaluation index by performing a dynamic ergonomics analysis on the motion trajectory of the operation object;

[0097] The evaluation index model construction module 440 generates an evaluation index model based on the static ergonomics evaluation index and the dynamic ergonomics evaluation index by collaboratively analyzing multiple medical processes, and completes the layout optimization and evaluation of the cabin based on the evaluation index model.

[0098] The shelter layout assessment device based on human factors engineering in the embodiment of the present disclosure corresponds to the embodiment of the shelter layout assessment method based on human factors engineering in the present disclosure, and the relevant contents can be referenced to each other, which will not be repeated here. The beneficial technical effects corresponding to the shelter layout assessment device based on human factors engineering in the embodiment of the present disclosure can refer to the corresponding beneficial technical effects of the corresponding exemplary method part above, which will not be repeated here.

[0099] It should be noted that, although several modules or units of the shelter layout assessment device 400 based on human factors engineering are mentioned in the above detailed description, such division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

[0100] Below, reference Figure 5 The electronic device according to the embodiment of the present disclosure is described. The electronic device may be any one or both of the first device and the second device, or a stand-alone device independent of them, and the stand-alone device may communicate with the first device and the second device to receive the collected input signals from them.

[0101] Figure 5 A block diagram of an electronic device according to an embodiment of the present disclosure is illustrated.

[0102] like Figure 5 As shown, the electronic device includes one or more processors and memory.

[0103] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0104] The memory may store one or more computer program products, and the memory may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program products may be stored on the computer-readable storage medium, and the processor may run the computer program product to implement the various embodiments of the present disclosure described above and / or other desired functions.

[0105] In one example, the electronic device may further include: an input device and an output device, and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0106] In addition, the input device may also include, for example, a keyboard, a mouse, and the like.

[0107] The output device can output various information to the outside, including determined distance information, direction information, etc. The output device can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, and the like.

[0108] Of course, to simplify, Figure 5 Only some of the components related to the present disclosure in the electronic device are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device may further include any other appropriate components.

[0109] In addition to the above methods and devices, an embodiment of the present disclosure may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method according to various embodiments of the present disclosure described in the above part of this specification.

[0110] The computer program product may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the disclosed embodiments, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0111] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, enables the processor to execute the steps of the method according to various embodiments of the present disclosure described in the above part of this specification.

[0112] The computer-readable storage medium may adopt any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. The above is a preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principles of the present invention, several improvements and modifications may be made, and these improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A shelter layout evaluation method based on human factors engineering, characterized in that: include: Based on statistical data, the human factors engineering simulation model is generated by setting the action process of multiple medical processes; Based on the human factors engineering simulation model, a static human factors engineering analysis is performed on the static posture of the operating object to generate a static human factors engineering evaluation index; Based on the human factors engineering simulation model, a dynamic human factors engineering evaluation index is generated by performing a dynamic human factors engineering analysis on the motion trajectory of the operation object; Based on the static ergonomics evaluation indicators and the dynamic ergonomics evaluation indicators, an evaluation indicator model is generated through collaborative analysis of multiple medical processes, and based on the evaluation indicator model, the layout optimization and evaluation of the cabin are completed.

2. The method according to claim 1, characterized in that By setting the action process of multiple medical processes, including: Based on statistical data, the three-dimensional features of the operation object are modeled through digital human body modeling technology to generate a three-dimensional digital human body model; Based on the medical process setting, the interactive relationship between the operation object and the equipment environment is set to generate action simulation process information; By introducing the action simulation process information into the three-dimensional digital human body model, an ergonomics simulation model is constructed.

3. The method according to claim 1, characterized in that Through the static human factors engineering analysis of the static posture of the operating object, including: Based on the human factors engineering simulation model, the visibility of the target object is analyzed through the range of the human eye's visual cone to complete the visual field analysis; Based on the human factors engineering simulation model, the sight line analysis is completed by calculating the contact sight distance between the human eye sight line and the target object; Based on the human factors engineering simulation model, the window analysis is completed by simulating the first-person perspective of the operating object; Visibility analysis is completed by integrating the visual area analysis, line of sight analysis, and window analysis.

4. The method according to claim 3, characterized in that: Through the static human factors engineering analysis of the static posture of the operating object, including: Based on the human factors engineering simulation model, upper limb reachable envelope analysis is completed by drawing the position, upper limb size, and joint range of motion of the operator; Based on the human factors engineering simulation model, taking the shoulder position of the operator as the origin, the upper limb comfort envelope analysis is completed by drawing the activity range of the end nodes of the operator's hand; The accessibility analysis is completed by integrating the upper limb reachable envelope analysis and the upper limb comfort envelope analysis.

5. The method according to claim 4, characterized in that Through the static human factors engineering analysis of the static posture of the operating object, including: Based on the human factors engineering simulation model, an upper limb group and a trunk group are generated by grouping the upper active parts of the operating object; The comfort analysis is completed by recording the posture parameters of the upper limb group and the trunk group, and scoring the upper limb group and the trunk group respectively based on a preset scoring rule; By integrating the visibility analysis, accessibility analysis, and comfort analysis, a static ergonomics evaluation index is generated.

6. The method according to claim 1, characterized in that Through dynamic ergonomic analysis of the motion trajectory of the operating object, including: Based on the human factors engineering simulation model, the absolute position and steering information of the operating object are collected and calculated at a preset frequency to complete the walking path analysis; Based on the human factors engineering simulation model, the angle of lumbar vertebra bending of the operating subject is recorded at a preset frequency to generate lumbar vertebra recording information; Based on the lumbar vertebrae recorded information, the lumbar vertebrae fatigue accumulation analysis is completed by calculating the proportion of the accumulated time when the lumbar vertebrae bending angle exceeds a preset threshold; By integrating the walking path analysis and lumbar spine fatigue accumulation analysis, dynamic ergonomics evaluation indicators are generated.

7. The method according to claim 1, characterized in that By collaboratively analyzing multiple medical processes, an evaluation index model is generated, and based on the evaluation index model, the layout optimization and evaluation of the cabin are completed, including: By checking the interference and collision between operation objects in multiple medical processes, collaborative space analysis is completed; Based on the collaborative space analysis, an evaluation index model is constructed by analyzing the relationship between the static ergonomics evaluation index and the dynamic ergonomics evaluation index; Based on the evaluation index model, the cabin layout of the other cabin is iteratively optimized to complete the evaluation of the other cabin layout.

8. A shelter layout evaluation device based on human factors engineering, characterized in that: include: The human factors engineering simulation model building module is used to generate a human factors engineering simulation model by setting the action process of multiple medical processes based on statistical data; The static ergonomics evaluation index generation module generates static ergonomics evaluation indexes by performing static ergonomics analysis on the static posture of the operation object; The dynamic ergonomics evaluation index generation module generates dynamic ergonomics evaluation indicators by performing dynamic ergonomics analysis on the motion trajectory of the operation object; The evaluation index model construction module generates an evaluation index model based on the static ergonomics evaluation index and the dynamic ergonomics evaluation index by collaboratively analyzing multiple medical processes, and completes the layout optimization and evaluation of the cabin based on the evaluation index model.

9. An electronic device, characterized in that: include: A memory for storing a computer program product; A processor is used to execute the computer program product stored in the memory, and when the computer program product is executed, it implements the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method described in any one of claims 1 to 7 is implemented.

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