Medical equipment operation stability test system based on data analysis

Abstract

The invention belongs to the technical field of medical equipment testing, and particularly relates to a medical equipment operation stability testing system based on data analysis, which comprises a server, a medical equipment positioning detection module, a simulation accuracy evaluation module, a test monitoring module, an operation stability judgment module and a display early warning terminal, the positioning effect of the medical equipment is analyzed through the medical equipment positioning detection module, positioning adjustment is performed when a positioning abnormal signal is generated, corresponding testing is performed on the medical equipment when a positioning qualified signal is generated, the simulation accuracy evaluation module analyzes the test condition simulation effect in the testing process, and the accuracy of the test condition simulation effect is evaluated. When the simulation low-precision signals are generated, corresponding regulation and control measures are taken to reduce adverse effects on test results, the operation stability of the medical equipment is reasonably evaluated through the operation stability judgment module, feedback and early warning are conducted in time, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment testing, and in particular to a medical equipment operation stability testing system based on data analysis. Background Art

[0002] The main functions of medical equipment include the prevention, diagnosis, treatment, monitoring, relief of diseases, as well as the diagnosis, treatment, monitoring, relief, compensation of injuries or disabilities. Through different technologies and methods, it plays a certain auxiliary role in the treatment of the human body surface and body. According to the function and purpose, it can be divided into diagnostic equipment, therapeutic equipment and auxiliary equipment.

[0003] The operational stability of medical equipment directly affects the medical quality of medical equipment. Currently, it is difficult to effectively judge the positioning effect of medical equipment before conducting the operational stability test of medical equipment and reasonably evaluate the simulation accuracy of test conditions during the test. It is also impossible to comprehensively analyze the operational stability of medical equipment, and the degree of intelligence is low.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a medical equipment operation stability testing system based on data analysis, which solves the problems that the prior art is difficult to effectively judge the positioning effect of the medical equipment before conducting the medical equipment operation stability test and to reasonably evaluate the simulation accuracy of the test conditions during the test, and is unable to comprehensively analyze the operation stability status of the medical equipment and has a low degree of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A medical equipment operation stability test system based on data analysis includes a server, a medical equipment positioning detection module, a simulation accuracy evaluation module, a test monitoring module, an operation stability judgment module and a display warning terminal; before testing the medical equipment, the medical equipment is fixed by a positioning clamping structure, and the medical equipment positioning detection module analyzes the positioning effect of the medical equipment, generates a positioning qualified signal or a positioning abnormal signal through the analysis, and sends the positioning qualified signal or the positioning abnormal signal to the display warning terminal via the server, and the display warning terminal issues a corresponding warning when receiving the positioning abnormal signal;

[0008] After the qualified positioning signal is generated, the corresponding test is started for the medical device. The simulation accuracy evaluation module analyzes the simulation effect of the test conditions during the test process, generates a simulated high-precision signal or a simulated low-precision signal through the analysis, and sends the simulated high-precision signal or the simulated low-precision signal to the display warning module via the server. The display warning module issues a corresponding warning when receiving the simulated low-precision signal;

[0009] The test monitoring module monitors all test processes of the medical equipment, records the various performance parameters and operating status information of the medical equipment during the test process, and judges whether the test results of the corresponding test items of the medical equipment meet the corresponding requirements based on the performance parameters and operating status information of the medical equipment after the corresponding test process is completed, and sends the judgment information of all test items to the operation stability judgment module via the server; the operation stability judgment module comprehensively analyzes the operating stability status of the medical equipment, and generates a superior stability signal, a low stability signal or an abnormal stability signal, and sends the superior stability signal, the low stability signal or the abnormal stability signal to the display warning terminal via the server.

[0010] Furthermore, the specific operation process of the medical equipment positioning detection module includes:

[0011] The contact parts between the positioning clamping structure and the medical device are collected, and the corresponding contact parts are marked as k, where k is a natural number greater than 1; the extrusion force on the contact part k is collected and marked as the extrusion value, and the extrusion value is numerically compared with the corresponding preset extrusion value range. If the extrusion value is not within the preset extrusion value range, the contact part k is marked as an abnormal touch part; the number of abnormal touch parts is obtained and marked as the abnormal touch detection value, and the abnormal touch detection value is numerically compared with the preset abnormal touch detection threshold. If the abnormal touch detection value exceeds the preset abnormal touch detection threshold, a positioning abnormality signal is generated.

[0012] Furthermore, if the abnormal touch detection value does not exceed the preset abnormal touch detection threshold, the difference between the extrusion value of the contact part k and the median of the corresponding preset extrusion value range is calculated and the absolute value is taken to obtain the extrusion deviation value, the extrusion deviation values ​​of all contact parts are averaged to obtain the extrusion deviation detection value, the positioning detection value is obtained by numerically calculating the abnormal touch detection value and the extrusion deviation detection value, the positioning detection value is numerically compared with the preset positioning detection threshold, if the positioning detection value exceeds the preset positioning detection threshold, a positioning abnormality signal is generated; if the positioning detection value does not exceed the preset positioning detection threshold, a positioning qualified signal is generated.

[0013] Further, the simulation accuracy assessment module is in communication connection with both the simulation environment detection module and the simulation power detection module. The simulation environment detection module detects and analyzes the corresponding test environment conditions simulated, assigns the simulation environment symbol HY-1 or HY-2 through analysis, and sends the simulation environment symbol HY-1 or HY-2 to the simulation accuracy assessment module; the simulation power detection module detects and analyzes the corresponding test power conditions simulated, assigns the simulation power symbol HP-1 or HP-2 through analysis, and sends the simulation power symbol HP-1 or HP-2 to the simulation accuracy assessment module;

[0014] The simulation accuracy evaluation module receives the simulation environment symbol HY-1 or HY-2 and the simulation power symbol HP-1 or HP-2, and performs intersection analysis on the simulation environment symbol and the simulation power symbol. If HY-2∩HP-2 is received, a simulation high-precision signal is generated; in other cases, a simulation low-precision signal is generated.

[0015] Furthermore, the specific operation process of the simulation environment detection module includes:

[0016] Obtain the environment required to be simulated for the corresponding test process of the medical device, collect the temperature data, humidity data, air pressure data, light data, noise data and electromagnetic radiation data of the simulated environment, compare the temperature data, humidity data, air pressure data, light data, noise data and electromagnetic radiation data with the corresponding preset threshold ranges one by one, and if the temperature data, humidity data, air pressure data, light data, noise data or electromagnetic radiation data is not within the corresponding preset threshold range, assign the simulated environment symbol HY-1;

[0017] If the temperature data, humidity data, air pressure data, light data, noise data and electromagnetic radiation data are all within the corresponding preset threshold range, the deviation value of the temperature data compared to the median of the corresponding preset threshold range is marked as the temperature simulation value, and the humidity simulation value, air pressure simulation value, light simulation value, noise simulation value and radiation simulation value are obtained similarly; the environment simulation value is obtained by numerically calculating the temperature simulation value, humidity simulation value, air pressure simulation value, light simulation value, noise simulation value and radiation simulation value, and the environment simulation value is numerically compared with the preset environment simulation threshold value. If the environment simulation value exceeds the preset environment simulation threshold value, the simulation environment symbol HY-1 is assigned; if the environment simulation value does not exceed the preset environment simulation threshold value, the simulation environment symbol HY-2 is assigned.

[0018] Furthermore, the specific operation process of the simulated power detection module includes:

[0019] The real-time voltage value and the real-time current value of the simulated power are collected, and the deviation value of the real-time voltage value compared with the preset standard test voltage value is marked as the simulated pressure condition value, and the deviation value of the real-time current value compared with the preset standard test current value is marked as the simulated flow condition value; the simulated pressure condition value and the simulated flow condition value are numerically compared with the preset simulated pressure condition threshold value and the preset simulated flow condition threshold value respectively, and if the simulated pressure condition value or the simulated flow condition value exceeds the corresponding preset threshold value, it is judged that the power is in a poor state at the corresponding moment;

[0020] The total duration of the poor power state per unit time is obtained and marked as the simulated power offset time value, and the simulated power offset time value is numerically compared with the preset simulated power offset time threshold. If the simulated power offset time value exceeds the preset simulated power offset time threshold, the simulated power symbol HP-1 is assigned;

[0021] If the simulated power time deviation value does not exceed the preset simulated power time deviation threshold, the simulated pressure value is obtained by averaging all simulated pressure condition values ​​within the unit time, the simulated flow value is obtained by averaging all simulated flow condition values ​​within the unit time, and the maximum single duration of the poor power state within the unit time is marked as the power single deviation amplitude. The power simulation value is obtained by numerically calculating the simulated power time deviation value, the simulated pressure value, the simulated flow value and the power single deviation amplitude. The power simulation value is numerically compared with the preset power simulation threshold. If the power simulation value exceeds the preset power simulation threshold, the simulated power symbol HP-1 is assigned; if the power simulation value does not exceed the preset power simulation threshold, the simulated power symbol HP-2 is assigned.

[0022] Furthermore, the specific operation process of the operation stability judgment module includes:

[0023] The test items whose test results do not meet the corresponding requirements are obtained and marked as abnormal items. If there are no abnormal items, a good stability signal is generated; if there are abnormal items, each group of test items is set in advance to correspond to a group of preset item weight values, and the preset item weight values ​​of all abnormal items are summed up to obtain the abnormal item weight value, and the number of abnormal items is collected and marked as the abnormal item detection value, and the operation stability judgment value is obtained by numerically calculating the abnormal item detection value and the abnormal item weight value; the operation stability judgment value is numerically compared with the preset operation stability judgment threshold, if the operation stability judgment value exceeds the preset operation stability judgment threshold, an abnormal stability signal is generated; if the operation stability judgment value does not exceed the preset operation stability judgment threshold, a low stability signal is generated.

[0024] Furthermore, the server is communicatively connected with the simulation control and evaluation module, which is used to evaluate the simulation control performance during the medical equipment testing process, and generate a simulation control and evaluation qualified signal or a simulation control and evaluation unqualified signal through analysis, and send the simulation control and evaluation qualified signal or the simulation control and evaluation unqualified signal to the display and early warning terminal via the server, and the display and early warning terminal issues a corresponding early warning when receiving the simulation control unqualified signal.

[0025] Furthermore, the specific operation process of the simulation control and assessment module includes:

[0026] The number of times a simulated low-precision signal is generated during the test of the medical device in the detection period is collected and marked as a low-precision detection value, and the control time for the corresponding regulation is collected when the simulated low-precision signal is generated, and the control time is numerically compared with the corresponding preset control time threshold, and the number of control times that exceed the preset control time threshold in the detection period is marked as an out-of-regulation detection value, and the ratio of the control time to the corresponding preset control time threshold is marked as a control time occupation value, and all the control time occupation values ​​in the detection period are calculated as the ratio to the control time condition value;

[0027] The simulated management evaluation value is obtained by numerically calculating the low-precision detection value, the out-of-tuning detection value and the control condition value, and the simulated management evaluation value is numerically compared with the preset simulated management evaluation threshold. If the simulated management evaluation value exceeds the preset simulated management evaluation threshold, a simulated control evaluation unqualified signal is generated; if the simulated management evaluation value does not exceed the preset simulated management evaluation threshold, a simulated control evaluation qualified signal is generated.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. In the present invention, the positioning effect of the medical device is analyzed by the medical device positioning detection module, and the positioning adjustment is performed when the positioning abnormality signal is generated. When the positioning qualified signal is generated, the medical device is tested accordingly. The simulation accuracy evaluation module analyzes the simulation effect of the test conditions during the test process, and makes corresponding control measures when generating the simulated low-precision signal to reduce the adverse effects on the test results, effectively ensuring the accuracy of the test results. The operation stability judgment module is used to reasonably evaluate the operation stability of the medical device and timely feedback and early warning, with a high degree of intelligence;

[0030] 2. In the present invention, the simulation control performance status in the medical equipment testing process is evaluated through the simulation control evaluation module, and a simulation control evaluation qualified signal or a simulation control evaluation unqualified signal is generated through analysis. When the simulation control unqualified signal is generated, the display warning terminal issues a corresponding warning, so as to timely strengthen the control of the subsequent test process, ensure the smooth and stable progress of the test process and improve the accuracy of the test results. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0032] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0033] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of 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.

[0035] Embodiment 1: Figure 1 As shown, the medical equipment operation stability testing system based on data analysis proposed by the present invention includes a server, a medical equipment positioning detection module, a simulation accuracy evaluation module, a test monitoring module, an operation stability judgment module and a display warning terminal;

[0036] Before testing the medical equipment, the medical equipment is fixed by the positioning clamping structure. The medical equipment positioning detection module analyzes the positioning effect of the medical equipment, generates a positioning qualified signal or a positioning abnormality signal through the analysis, and sends the positioning qualified signal or the positioning abnormality signal to the display warning terminal via the server. When the display warning terminal receives the positioning abnormality signal, it issues a corresponding warning to remind the management personnel to make positioning adjustments in time, thereby ensuring the positioning effect of the medical equipment and reducing the adverse effects on the test results. The specific operation process of the medical equipment positioning detection module is as follows:

[0037] The contact parts between the positioning clamping structure and the medical device are collected, and the corresponding contact parts are marked as k, where k is a natural number greater than 1; the extrusion force on the contact part k is collected and marked as the extrusion value, and the extrusion value is numerically compared with the corresponding preset extrusion value range. If the extrusion value is not within the preset extrusion value range, it indicates that the positioning performance of the contact part k is poor, and the contact part k is marked as an abnormal touch part; the number of abnormal touch parts is obtained and marked as the abnormal touch detection value, and the abnormal touch detection value is numerically compared with the preset abnormal touch detection threshold. If the abnormal touch detection value exceeds the preset abnormal touch detection threshold, a positioning abnormality signal is generated.

[0038] If the abnormal touch detection value does not exceed the preset abnormal touch detection threshold, the difference between the extrusion value of the contact part k and the median of the corresponding preset extrusion value range is calculated and the absolute value is taken to obtain the extrusion deviation value, and the extrusion deviation values ​​of all contact parts are averaged to obtain the extrusion deviation detection value. The abnormal touch detection value WY and the extrusion deviation detection value WP are numerically calculated by the formula WF=eq1*WY+eq2*WP to obtain the positioning detection value WF, wherein eq1 and eq2 are preset proportional coefficients, and the values ​​of eq1 and eq2 are both positive numbers;

[0039] Moreover, the larger the numerical value of the positioning detection value WF is, the worse the positioning condition of the medical device is overall; the positioning detection value WF is numerically compared with the preset positioning detection threshold. If the positioning detection value WF exceeds the preset positioning detection threshold, it indicates that the positioning condition of the medical device is poor overall, and the positioning clamping structure needs to be adjusted accordingly in time, and a positioning abnormality signal is generated; if the positioning detection value WF does not exceed the preset positioning detection threshold, it indicates that the positioning condition of the medical device is good overall, and a positioning qualified signal is generated.

[0040] After the qualified positioning signal is generated, the corresponding test is started for the medical equipment. The simulation accuracy evaluation module analyzes the simulation effect of the test conditions during the test process, generates a simulated high-precision signal or a simulated low-precision signal through analysis, and sends the simulated high-precision signal or the simulated low-precision signal to the display warning module via the server. When the display warning module receives the simulated low-precision signal, it issues a corresponding warning so that corresponding control measures can be taken in time, thereby ensuring the simulation effect and reducing the adverse effects on the test results. The degree of intelligence is high;

[0041] Furthermore, the simulation accuracy assessment module is in communication connection with the simulation environment detection module and the simulation power detection module. The simulation environment detection module detects and analyzes the corresponding test environment conditions simulated, assigns the simulation environment symbol HY-1 or HY-2 through analysis, and sends the simulation environment symbol HY-1 or HY-2 to the simulation accuracy assessment module. The specific operation process of the simulation environment detection module is as follows:

[0042] The environment required to be simulated for the corresponding test process of the medical device is obtained, and the temperature data, humidity data, air pressure data, light data (i.e., light intensity), noise data (i.e., noise decibel value) and electromagnetic radiation data (i.e., the data value of the intensity of electromagnetic radiation) of the simulated environment are collected, and the temperature data, humidity data, air pressure data, light data, noise data and electromagnetic radiation data are compared with the corresponding preset threshold ranges one by one. If the temperature data, humidity data, air pressure data, light data, noise data or electromagnetic radiation data is not within the corresponding preset threshold range, it indicates that the simulation performance of the simulated environment is poor, and the simulated environment symbol HY-1 is assigned;

[0043] If the temperature data, humidity data, air pressure data, light data, noise data and electromagnetic radiation data are all within the corresponding preset threshold range, the deviation value of the temperature data compared to the median of the corresponding preset threshold range is marked as the temperature simulation value, and the humidity simulation value, air pressure simulation value, light simulation value, noise simulation value and radiation simulation value are obtained in the same way;

[0044] The temperature simulation value QW, humidity simulation value QR, air pressure simulation value QY, illumination simulation value QK, noise simulation value QP and radiation simulation value QF are numerically calculated by the formula QX=(c1*QW+c2*QR+c3*QY+c4*QK+c5*QP+c6*QF) / 6 to obtain the environment simulation value QX, wherein c1, c2, c3, c4, c5 and c6 are preset proportional coefficients whose values ​​are greater than zero, and the larger the value of the environment simulation value QX, the worse the simulation performance of the simulated environment; the environment simulation value is numerically compared with the preset environment simulation threshold value, if the environment simulation value exceeds the preset environment simulation threshold value, indicating that the simulation performance of the simulated environment is poor, then the simulation environment symbol HY-1 is assigned; if the environment simulation value does not exceed the preset environment simulation threshold value, indicating that the simulation performance of the simulated environment is good, then the simulation environment symbol HY-2 is assigned.

[0045] The simulated power detection module detects and analyzes the simulated corresponding test power conditions, assigns simulated power symbols HP-1 or HP-2 through analysis, and sends the simulated power symbols HP-1 or HP-2 to the simulation accuracy evaluation module; the specific operation process of the simulated power detection module is as follows:

[0046] The real-time voltage value and the real-time current value of the simulated power are collected, and the deviation value of the real-time voltage value compared with the preset standard test voltage value is marked as the simulated pressure condition value, and the deviation value of the real-time current value compared with the preset standard test current value is marked as the simulated flow condition value; the simulated pressure condition value and the simulated flow condition value are numerically compared with the preset simulated pressure condition threshold value and the preset simulated flow condition threshold value respectively, and if the simulated pressure condition value or the simulated flow condition value exceeds the corresponding preset threshold value, it is judged that the power is in a poor state at the corresponding moment;

[0047] The total duration of the poor power state per unit time is obtained and marked as the simulated power offset time value, and the simulated power offset time value is numerically compared with the preset simulated power offset time threshold. If the simulated power offset time value exceeds the preset simulated power offset time threshold, indicating that the power simulation performance is poor, the simulated power symbol HP-1 is assigned;

[0048] If the simulated power deviation value does not exceed the preset simulated power deviation threshold, all simulated pressure values ​​within the unit time are averaged to obtain the simulated pressure analysis value, all simulated flow values ​​within the unit time are averaged to obtain the simulated flow analysis value, and the maximum single duration of the poor power state within the unit time is marked as the power single deviation amplitude;

[0049] By formula The simulated power time deviation value TK, the simulated pressure analysis value TL, the simulated flow analysis value TS and the power single bias amplitude TY are numerically calculated to obtain the power simulation value TX, wherein rg1, rg2, rg3, and rg4 are preset proportional coefficients, and the values ​​of rg1, rg2, rg3, and rg4 are all positive numbers; and the larger the value of the power simulation value TX, the worse the power simulation performance is overall; the power simulation value TX is numerically compared with the preset power simulation threshold value, if the power simulation value TX exceeds the preset power simulation threshold value, indicating that the power simulation performance is poor, then the simulated power symbol HP-1 is assigned; if the power simulation value TX does not exceed the preset power simulation threshold value, indicating that the power simulation performance is good, then the simulated power symbol HP-2 is assigned.

[0050] It should be noted that the simulation accuracy evaluation module receives the simulation environment symbol HY-1 or HY-2 and the simulation power symbol HP-1 or HP-2, and performs intersection analysis on the simulation environment symbol and the simulation power symbol. If HY-2∩HP-2 is received, it indicates that the condition simulation status of the corresponding test process is good overall, and a simulation high-precision signal is generated; the other cases (HY-1∩HP-2, HY-2∩HP-1, HY-1∩HP-1) indicate that the condition simulation status of the corresponding test process is poor overall, and a simulation low-precision signal is generated.

[0051] The test monitoring module monitors all test processes of the medical equipment (such as long-term working test, ambient temperature change test, load change test, etc.), records various performance parameters and operating status information of the medical equipment during the test process, and judges whether the test results of the corresponding test items of the medical equipment meet the corresponding requirements based on the performance parameters and operating status information of the medical equipment after the corresponding test process is completed, and sends the judgment information of all test items to the operation stability judgment module via the server; the operation stability judgment module comprehensively analyzes the operation stability status of the medical equipment, and generates a superior stability signal, a low stability signal or an abnormal stability signal, and sends the superior stability signal, the low stability signal or the abnormal stability signal to the display warning terminal via the server, which can reasonably evaluate the operation stability of the medical equipment and provide timely feedback warning, and the evaluation result is more accurate; the specific operation process of the operation stability judgment module is as follows:

[0052] The test items whose test results do not meet the corresponding requirements are obtained and marked as abnormal items. If there are no abnormal items, it indicates that the operating stability of the medical equipment is generally good, and a good stability signal is generated; if there are abnormal items, each group of test items is set in advance to correspond to a group of preset item weight values, wherein the values ​​of the preset item weight values ​​are all positive numbers, and the higher the importance of the corresponding test items, the larger the value of the preset item weight value that matches it; the preset item weight values ​​of all abnormal items are summed up to calculate the outlier weight value, and the number of abnormal items collected and marked as outlier detection values;

[0053] The outlier detection value YS and the outlier weight value YR are numerically calculated using the formula YP=wq1*YS+wq2*YR to obtain the stability judgment value YP; wherein, wq1 and wq2 are preset proportional coefficients, the values ​​of wq1 and wq2 are both positive numbers, and the larger the value of the stability judgment value YP is, the worse the operating stability of the medical device is; the stability judgment value YP is numerically compared with the preset stability judgment threshold, if the stability judgment value YP exceeds the preset stability judgment threshold, indicating that the operating stability of the medical device is extremely poor overall, then an outlier signal is generated; if the stability judgment value YP does not exceed the preset stability judgment threshold, indicating that the operating stability of the medical device is poor overall, then a low stability signal is generated.

[0054] Embodiment 2: Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the server is connected to the simulation control and evaluation module in communication, and the simulation control and evaluation module is used to evaluate the simulation control performance during the medical equipment test process, and generate a simulation control and evaluation qualified signal or a simulation control and evaluation unqualified signal through analysis, and send the simulation control and evaluation qualified signal or the simulation control and evaluation unqualified signal to the display warning terminal via the server. When the display warning terminal receives the simulation control unqualified signal, it issues a corresponding warning, so as to timely strengthen the control of the subsequent test process, ensure the smooth and stable progress of the test process and improve the accuracy of the test results; the specific operation process of the simulation control and evaluation module is as follows:

[0055] The number of times a simulated low-precision signal is generated during the test of the medical device in the detection period is collected and marked as a low-precision detection value, and the control time for the corresponding regulation is collected when the simulated low-precision signal is generated, and the control time is numerically compared with the corresponding preset control time threshold, and the number of control times that exceed the preset control time threshold in the detection period is marked as an out-of-regulation detection value, and the ratio of the control time to the corresponding preset control time threshold is marked as a control time occupation value, and all the control time occupation values ​​in the detection period are calculated as the ratio to the control time condition value;

[0056] The low-precision detection value GN, the out-of-tune detection value GS and the control condition value GF are numerically calculated by the formula GM=(fd1*GN+fd2*GS) / 2+fd3*GF to obtain the simulated management evaluation value GM, wherein fd1, fd2 and fd3 are preset proportional coefficients, and fd3>fd2>fd1>0; and the larger the value of the simulated management evaluation value GM, the worse the simulated management performance of the test conditions during the detection period;

[0057] The simulation management evaluation value GM is numerically compared with the preset simulation management evaluation threshold. If the simulation management evaluation value GM exceeds the preset simulation management evaluation threshold, it indicates that the simulation management and control performance of the test conditions during the detection period is poor, and a simulation management and control evaluation unqualified signal is generated; if the simulation management evaluation value GM does not exceed the preset simulation management evaluation threshold, it indicates that the simulation management and control performance of the test conditions during the detection period is good, and a simulation management and control evaluation qualified signal is generated.

[0058] The working principle of the present invention is as follows: when in use, the positioning effect of the medical device is analyzed by the medical device positioning detection module, and a positioning qualified signal or a positioning abnormal signal is generated through the analysis. When a positioning abnormal signal is generated, positioning adjustment is performed, and when a positioning qualified signal is generated, a corresponding test is performed on the medical device. The simulation accuracy evaluation module analyzes the simulation effect of the test conditions during the test process, and when generating a simulated low-precision signal, corresponding control measures are taken to reduce the adverse effects on the test results. All test processes of the medical device are monitored by the test monitoring module and it is determined whether the test results of each test item meet the corresponding requirements. The operation stability judgment module comprehensively analyzes the operation stability status of the medical device and generates a superior stability signal, a low stability signal or an abnormal stability signal. It can reasonably evaluate the operation stability of the medical device and provide timely feedback and early warning. The evaluation results are more accurate and highly intelligent.

[0059] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A medical equipment operation stability test system based on data analysis, characterized in that: It includes a server, a medical equipment positioning detection module, a simulation accuracy evaluation module, a test monitoring module, an operation stability judgment module and a display warning terminal; before testing the medical equipment, the medical equipment is fixed by a positioning clamping structure, and the medical equipment positioning detection module analyzes the positioning effect of the medical equipment, generates a positioning qualified signal or a positioning abnormal signal through the analysis, and sends the positioning qualified signal or the positioning abnormal signal to the display warning terminal via the server, and the display warning terminal issues a corresponding warning when receiving the positioning abnormal signal; After the qualified positioning signal is generated, the corresponding test is started for the medical device. The simulation accuracy evaluation module analyzes the simulation effect of the test conditions during the test process, generates a simulated high-precision signal or a simulated low-precision signal through the analysis, and sends the simulated high-precision signal or the simulated low-precision signal to the display warning module via the server. The display warning module issues a corresponding warning when receiving the simulated low-precision signal; The test monitoring module monitors all test processes of the medical equipment, records the various performance parameters and operating status information of the medical equipment during the test process, and judges whether the test results of the corresponding test items of the medical equipment meet the corresponding requirements based on the performance parameters and operating status information of the medical equipment after the corresponding test process is completed, and sends the judgment information of all test items to the operation stability judgment module via the server; the operation stability judgment module comprehensively analyzes the operating stability status of the medical equipment, and generates a superior stability signal, a low stability signal or an abnormal stability signal, and sends the superior stability signal, the low stability signal or the abnormal stability signal to the display warning terminal via the server.

2. The medical equipment operation stability testing system based on data analysis according to claim 1 is characterized in that: The specific operation process of the medical equipment positioning detection module includes: The contact points between the positioning clamping structure and the medical device are collected, and the corresponding contact points are marked as k, where k is a natural number greater than 1; the extrusion force on the contact point k is collected and marked as the extrusion value. If the extrusion value is not within the preset extrusion value range, the contact point k is marked as an abnormal contact point; the number of abnormal contact points is obtained and marked as the abnormal touch detection value. If the abnormal touch detection value exceeds the preset abnormal touch detection threshold, a positioning abnormality signal is generated.

3. The medical equipment operation stability testing system based on data analysis according to claim 2 is characterized in that: If the abnormal touch detection value does not exceed the preset abnormal touch detection threshold, the positioning detection value is obtained by numerically calculating the abnormal touch detection value and the extrusion deviation detection value. If the positioning detection value exceeds the preset positioning detection threshold, a positioning abnormality signal is generated; if the positioning detection value does not exceed the preset positioning detection threshold, a positioning qualified signal is generated.

4. The medical equipment operation stability testing system based on data analysis according to claim 1 is characterized in that: The simulation accuracy assessment module is in communication connection with both the simulation environment detection module and the simulation power detection module. The simulation environment detection module detects and analyzes the corresponding test environment conditions simulated, assigns the simulation environment symbol HY-1 or HY-2 through analysis, and sends the simulation environment symbol HY-1 or HY-2 to the simulation accuracy assessment module; the simulation power detection module detects and analyzes the corresponding test power conditions simulated, assigns the simulation power symbol HP-1 or HP-2 through analysis, and sends the simulation power symbol HP-1 or HP-2 to the simulation accuracy assessment module; The simulation accuracy evaluation module receives the simulation environment symbol HY-1 or HY-2 and the simulation power symbol HP-1 or HP-2, and performs intersection analysis on the simulation environment symbol and the simulation power symbol. If HY-2∩HP-2 is received, a simulation high-precision signal is generated; in other cases, a simulation low-precision signal is generated.

5. The medical equipment operation stability testing system based on data analysis according to claim 4 is characterized in that: The specific operation process of the simulation environment detection module includes: The environment required to be simulated for the corresponding test process of the medical device is obtained, and the temperature data, humidity data, air pressure data, light data, noise data and electromagnetic radiation data of the simulated environment are collected. If the temperature data, humidity data, air pressure data, light data, noise data or electromagnetic radiation data is not within the corresponding preset threshold range, the simulated environment symbol HY-1 is assigned; If the temperature data, humidity data, air pressure data, light data, noise data and electromagnetic radiation data are all within the corresponding preset threshold range, the environmental simulation value is obtained by numerically calculating the temperature simulation value, humidity simulation value, air pressure simulation value, light simulation value, noise simulation value and radiation simulation value. If the environmental simulation value exceeds the preset environmental simulation threshold, the simulated environment symbol HY-1 is assigned; if the environmental simulation value does not exceed the preset environmental simulation threshold, the simulated environment symbol HY-2 is assigned.

6. The medical equipment operation stability testing system based on data analysis according to claim 4 is characterized in that: The specific operation process of the analog power detection module includes: The total duration of the poor power state per unit time is obtained and marked as the simulated power deviation time value. If the simulated power deviation time value exceeds the preset simulated power deviation time threshold, the simulated power symbol HP-1 is assigned; if the simulated power deviation time value does not exceed the preset simulated power deviation time threshold, the power simulation value is obtained by numerically calculating the simulated power deviation time value, simulated pressure analysis value, simulated flow analysis value and power unit deviation amplitude. If the power simulation value exceeds the preset power simulation threshold, the simulated power symbol HP-1 is assigned; if the power simulation value does not exceed the preset power simulation threshold, the simulated power symbol HP-2 is assigned.

7. The medical equipment operation stability testing system based on data analysis according to claim 1 is characterized in that: The specific operation process of the operation stability judgment module includes: The test items whose test results do not meet the corresponding requirements are obtained and marked as abnormal items. If there are no abnormal items, a good stability signal is generated; if there are abnormal items, each group of test items is set in advance to correspond to a group of preset item weight values, and the preset item weight values ​​of all abnormal items are summed up to obtain the abnormal item weight value, and the number of abnormal items is collected and marked as the abnormal item detection value, and the stability judgment value is obtained by numerically calculating the abnormal item detection value and the abnormal item weight value; if the stability judgment value exceeds the preset stability judgment threshold, an abnormal stability signal is generated; if the stability judgment value does not exceed the preset stability judgment threshold, a low stability signal is generated.

8. The medical equipment operation stability testing system based on data analysis according to claim 1, characterized in that: The server is communicatively connected with the simulation control and evaluation module, which is used to evaluate the simulation control performance during the medical equipment testing process, generate a simulation control and evaluation qualified signal or a simulation control and evaluation unqualified signal through analysis, and send the simulation control and evaluation qualified signal or the simulation control and evaluation unqualified signal to the display warning terminal via the server.

9. The medical equipment operation stability testing system based on data analysis according to claim 8, characterized in that: The specific operation process of the simulation control and assessment module includes: The simulated management evaluation value is obtained by numerically calculating the low-precision detection value, the out-of-tuning detection value and the control condition value. If the simulated management evaluation value exceeds the preset simulated management evaluation threshold, a simulated control evaluation unqualified signal is generated; if the simulated management evaluation value does not exceed the preset simulated management evaluation threshold, a simulated control evaluation qualified signal is generated.

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