CN117782661A - Pneumoperitoneum machine quality detection system - Google Patents
Pneumoperitoneum machine quality detection system Download PDFInfo
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- CN117782661A CN117782661A CN202311809702.XA CN202311809702A CN117782661A CN 117782661 A CN117782661 A CN 117782661A CN 202311809702 A CN202311809702 A CN 202311809702A CN 117782661 A CN117782661 A CN 117782661A
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- 208000005646 Pneumoperitoneum Diseases 0.000 title claims abstract description 115
- 238000001514 detection method Methods 0.000 title claims abstract description 47
- 210000000683 abdominal cavity Anatomy 0.000 claims abstract description 52
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 10
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 25
- 238000005259 measurement Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 12
- 239000007788 liquid Substances 0.000 claims description 11
- 230000002572 peristaltic effect Effects 0.000 claims description 10
- 238000009530 blood pressure measurement Methods 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 238000004088 simulation Methods 0.000 abstract description 14
- 230000000007 visual effect Effects 0.000 abstract description 3
- 238000005457 optimization Methods 0.000 description 9
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 4
- 229910002092 carbon dioxide Inorganic materials 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000002347 injection Methods 0.000 description 3
- 239000007924 injection Substances 0.000 description 3
- 238000002357 laparoscopic surgery Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000001356 surgical procedure Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000003187 abdominal effect Effects 0.000 description 1
- 210000003815 abdominal wall Anatomy 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 230000006837 decompression Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 210000001835 viscera Anatomy 0.000 description 1
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Abstract
The invention relates to the technical field of device detection, in particular to a pneumoperitoneum machine quality detection system, which comprises a detection and adjustment device and a data control processing analysis display unit, wherein the detection and adjustment device comprises a simulation pneumoperitoneum module, a pressure sensor module, a vacuum pump module and a flow sensor module, the data control processing analysis display unit comprises a microprocessor and a display screen, the simulation pneumoperitoneum module is used for providing a simulation abdominal cavity, the pressure sensor module is used for measuring an actual air pressure value in the simulation abdominal cavity, the vacuum pump module is used for generating air so that the simulation abdominal cavity generates overpressure, and the flow sensor module is connected with a pneumoperitoneum pipe of a pneumoperitoneum machine to be detected. The pressure range of the simulated pneumoperitoneum simulated abdominal cavity is established through the simulated pneumoperitoneum module, detected data are accurately calculated through the microprocessor, and the detection result is displayed on the display screen, so that the result is accurate and visual.
Description
Technical Field
The invention relates to the technical field of device detection, in particular to a pneumoperitoneum machine quality detection system.
Background
Pneumoperitoneum machine (pneumoperitoneum machine) is a specialized device used in laparoscopic surgery to establish and maintain pneumoperitoneum. The method mainly comprises the steps of injecting medical carbon dioxide gas into the abdominal cavity during laparoscopic examination and operation, and separating the abdominal wall from the abdominal viscera by the gas to form operation and visual field space. When the pressure reaches the preset pressure, the air intake can be automatically stopped, and a certain amount of air is maintained to keep the abdominal cavity in a preset pressure inflation state all the time. When the intra-abdominal air pressure is reduced during the surgical procedure, the necessary operating and viewing space required for the surgical procedure can be automatically inflated. The establishment of pneumoperitoneum is the basis of laparoscopic surgery, and the maintenance of pneumoperitoneum depends on the normal operation of pneumoperitoneum machine.
The pneumoperitoneum machine mainly comprises a CO2 air source system, a control host and an air injection system 3, wherein the CO2 air source system comprises a medical air source and a decompression air inlet pipeline. The hospital operating room adopts a centralized air supply mode, the air source pressure requirement is 1-16 MPa, the air pressure value is detected through an air inlet meter and an air outlet meter respectively, and an air inlet pipeline outputs air supply of the pneumoperitoneum machine to a control host. The control host mainly completes operation control and alarm display functions, namely air pressure detection, flow control and pressure abnormality alarm, and the components comprise a pressure sensor, a flow electromagnetic valve, a Central Processing Unit (CPU) system and the like. The gas injection system consists of an abdominal cavity gas injection pipeline, a safety gas valve, a pressure sensor and a pneumoperitoneum needle, and realizes the functions of injecting CO2 gas in the abdominal cavity and controlling the abdominal cavity pressure.
With the development of modern scientific technology, minimally invasive technology and laparoscopic technology are mature gradually, and pneumoperitoneum machines are increasingly applied to various departments of hospitals. How to strictly control the performance quality of various pneumoperitoneum machines, a set of calibration device and method suitable for the calibration and detection of the pneumoperitoneum machines are developed, and the problem to be solved is urgent.
At present, the metering detection work of the pneumoperitoneum machine is not carried out, and the regular detection maintenance measures and the like of the pneumoperitoneum machine are also lacked. The method is very important to daily detection and maintenance of the pneumoperitoneum machine, and the performance state of the pneumoperitoneum machine is known, so that medical accidents caused by the pneumoperitoneum machine can be effectively avoided, and the clinical use risk is reduced.
Disclosure of Invention
The invention provides a pneumoperitoneum machine quality detection system, which is used for calibrating air pressure errors and flow errors of a pneumoperitoneum machine by establishing a simulated abdominal cavity simulating the pneumoperitoneum.
In order to achieve the purpose of the invention, the technical scheme adopted is as follows: the detecting system comprises a detecting and adjusting device and a data control processing analysis display unit, wherein the detecting and adjusting device comprises a simulated pneumoperitoneum module, a pressure sensor module, a vacuum pump module and a flow sensor module, the data control processing analysis display unit comprises a microprocessor and a display screen, the simulated pneumoperitoneum module is used for providing a simulated abdominal cavity, the pressure sensor module is used for measuring an actual air pressure value in the simulated abdominal cavity after the simulated abdominal cavity is established, the pneumoperitoneum machine to be detected is used for measuring the air pressure value of the simulated abdominal cavity, the vacuum pump module is used for generating gas so that the simulated abdominal cavity generates overpressure, the flow sensor module is connected with a pneumoperitoneum pipe of the pneumoperitoneum machine to be detected, and the microprocessor is used for acquiring a flow setting value error and a flow display value error of the pneumoperitoneum machine to be detected through the flow sensor module; the microprocessor obtains the air pressure setting value error, the air pressure display value error and the error of the overpressure alarm air pressure difference of the pneumoperitoneum machine through the pressure sensor module and the vacuum pump module.
As an optimization scheme of the invention, the simulated pneumoperitoneum module comprises a first water tank, a second water tank, a peristaltic pump and a stepping motor, wherein the peristaltic pump pumps water in the first water tank to the second water tank through the stepping motor, and the stepping motor controls the size of the internal volume of the simulated abdominal cavity to realize the pressure range required during detection.
As an optimization scheme of the invention, the pneumoperitoneum machine quality detection system comprises a gas leakage adjusting valve, and the simulated abdominal cavity is in a micro gas leakage state through the gas leakage adjusting valve.
As an optimization scheme of the invention, the pneumoperitoneum machine quality detection system further comprises a liquid level sensor, wherein the liquid level sensor is connected with the microprocessor, and the microprocessor controls the peristaltic pump to change the pneumoperitoneum size of the simulated abdominal cavity according to the water level detected by the liquid level sensor.
As an optimization scheme of the invention, five measurement points are selected in the nominal range of the barometric pressure set value of the pneumoperitoneum machine to be measured, each point is measured for 3 times, an average value of 3 times is taken as a measured value of the point, and the barometric pressure set value error is calculated according to the formula 1:
wherein: a is that ps Representing the air pressure setting value error of the selected measuring point, P s Indicating the set value of the air pressure,mean of 3 barometric pressure measurements is shown.
As an optimization scheme of the invention, in the pneumoperitoneum maintaining process, the pressure sensor module measures the actual air pressure value in the simulated abdominal cavity, meanwhile, the microprocessor reads the air pressure display value of the pneumoperitoneum machine to be measured, five measuring points are selected in the nominal range of the air pressure setting value through the control of the microprocessor, each point is measured for 3 times, the average value of the 3 times is taken as the measured value of the point, and the air pressure display value error is calculated according to the formula 2:
wherein: a is that px An error of the air pressure display value is indicated,mean value of the air pressure display value of 3 times, < >>Mean of 3 barometric pressure measurements is shown.
As an optimization scheme of the invention, the air pressure of the pneumoperitoneum machine is set as a nominal maximum value, after the simulated abdominal cavity is established, the air pressure value in the simulated abdominal cavity is gradually increased through the vacuum pump module until the pneumoperitoneum machine to be tested gives out an overpressure alarm, the microprocessor records that the pressure sensor module measures the pressure in the simulated abdominal cavity at the moment as an actual overpressure alarm air pressure value, and the microprocessor calculates an error value of the overpressure alarm air pressure difference according to the calculation of 3;
A pg ＝P rg -P sg 3
A a ＝A pg0 -A pg 4. The method is to
Wherein: a is that pg Representing measured value, P of overpressure alarm air pressure difference rg Indicating the overpressure alarm air pressure value, P sg Indicating the air pressure setting value, A a Error value representing overpressure alarm air pressure difference, A pg0 Indicating the nominal value of the overpressure alarm air pressure difference.
As an optimization scheme of the invention, three measuring points of the highest value, the middle value and the lowest value are selected in the nominal range of the flow set value of the pneumoperitoneum machine to be measured, the flow sensor module respectively detects each measuring point for 3 times at the three measuring points, takes the average value of 3 times to calculate and record data, and the microprocessor calculates according to the formula 5 and the formula 6:
wherein:for the relative error of the flow setting value, LS is the flow setting value,/->The average value of the three flow measurements is calculated,is a streamAbsolute error of the quantity setting value.
As an optimization scheme of the invention, three measurement points of the highest value, the middle value and the lowest value are selected in the nominal range of the flow set value of the pneumoperitoneum machine to be measured, the flow sensor module respectively detects each measurement point for 3 times at the three measurement points, takes the average value of 3 times as the measurement value of the point, and the microprocessor reads the flow display value on the pneumoperitoneum machine to be measured at the moment and calculates according to the formulas 7 and 8:
wherein:relative error of flow display value, +.>For the average value of the three flow display values, +.>Setting absolute error for flow rate,/->For the average of three flow measurements,/->Absolute error is displayed for the flow.
As an optimization scheme of the invention, the microprocessor accurately calculates the detected data through an interpolation algorithm and a limiting filtering method, and the detection result is displayed on a display screen.
The invention has the positive effects that: 1) The invention establishes the pressure range of the simulated pneumoperitoneum simulated abdominal cavity through the simulated pneumoperitoneum module, meets the test requirement of the related standard of the pneumoperitoneum machine, accurately calculates the detected data through the microprocessor, displays the detection result on the display screen, has accurate and visual result and simple operation;
2) The invention can detect the performance state of the pneumoperitoneum machine, effectively avoid medical accidents from the pneumoperitoneum machine and reduce clinical use risks;
3) The invention is suitable for quality detection of the pneumoperitoneum machine, has simple installation and operation, is suitable for the requirement of on-site metering calibration of the pneumoperitoneum machine, solves the problem of value transmission and effective tracing of the pneumoperitoneum machine, meets the test requirement of the related standard of the pneumoperitoneum machine, and provides reliable technical support for the quality control of the pneumoperitoneum machine.
Drawings
The invention will be described in further detail with reference to the drawings and the detailed description.
FIG. 1 is a functional block diagram of the present invention;
fig. 2 is a control circuit diagram of the vacuum pump module of the present invention.
Wherein: 1. the device comprises an analog pneumoperitoneum module, a pressure sensor module, a vacuum pump module, a flow sensor module, a gas leakage regulating valve, a pneumoperitoneum machine and a pneumoperitoneum machine.
Detailed Description
As shown in fig. 1, the invention discloses a pneumoperitoneum machine quality detection system, the detection system comprises a detection and adjustment device and a data control processing analysis display unit, the detection and adjustment device comprises a simulation pneumoperitoneum module 1, a pressure sensor module 2, a vacuum pump module 3 and a flow sensor module 4, the data control processing analysis display unit comprises a microprocessor and a display screen, the simulation pneumoperitoneum module 1 is used for providing a simulation abdominal cavity, the pressure sensor module 2 is used for measuring an actual air pressure value in the simulation abdominal cavity after the simulation abdominal cavity is established, the pneumoperitoneum machine 10 to be detected is used for measuring an air pressure value of the simulation abdominal cavity, the vacuum pump module 3 is used for generating air so that the simulation abdominal cavity generates overpressure, the flow sensor module 4 is connected with a pneumoperitoneum pipe of the pneumoperitoneum machine to be detected, and the microprocessor acquires a flow set value error and a flow display value error of the pneumoperitoneum machine to be detected through the flow sensor module 4; the microprocessor obtains the air pressure setting value error, the air pressure display value error and the error of the overpressure alarm air pressure difference of the pneumoperitoneum machine through the pressure sensor module 2 and the vacuum pump module 3.
The simulated pneumoperitoneum module 1 comprises a first water tank, a second water tank, a peristaltic pump and a stepping motor, wherein the peristaltic pump pumps water in the first water tank to the second water tank through the stepping motor, and the stepping motor controls the size of the internal volume of the simulated abdominal cavity to realize the pressure range required during detection. The pneumoperitoneum machine quality detection system comprises a gas leakage adjusting valve 5, and the simulated abdominal cavity is in a micro gas leakage state through the gas leakage adjusting valve 5. At this time, an accurate air pressure value can be obtained. Since the first water tank is initially filled with water, the initial volume and initial air pressure of the simulated abdominal cavity are all 0.
The pneumoperitoneum machine quality detection system also comprises a liquid level sensor, wherein the liquid level sensor is connected with the microprocessor, and the microprocessor controls the peristaltic pump to change the pneumoperitoneum size of the simulated abdominal cavity according to the height of the water level detected by the liquid level sensor. When the pneumoperitoneum is established, water is drained from the first water tank to the second water tank, and the size of the pneumoperitoneum is controlled by measuring the liquid level height through the liquid level sensor.
Selecting five measurement points in the nominal range of the air pressure set value of the pneumoperitoneum machine 10 to be measured, measuring each point for 3 times, taking the average value of the 3 times as the measured value of the point, and calculating the air pressure set value error according to the formula 1:
wherein: a is that ps Representing the air pressure setting value error of the selected measuring point, P s Indicating the set value of the air pressure,mean of 3 barometric pressure measurements is shown. Wherein, the nominal range of the simulated abdominal cavity is 667Pa-2000Pa,
in the pneumoperitoneum maintaining process, the pressure sensor module 2 measures the actual air pressure value in the simulated abdominal cavity, meanwhile, the microprocessor reads the air pressure display value of the pneumoperitoneum machine 10 to be measured, five measuring points are selected in the nominal range of the air pressure setting value through the control of the microprocessor, each point is measured for 3 times, the average value of the 3 times is taken as the measured value of the point, and the air pressure display value error is calculated according to the formula 2:
wherein: a is that px An error of the air pressure display value is indicated,mean value of the air pressure display value of 3 times, < >>Mean of 3 barometric pressure measurements is shown.
Setting the air pressure of the pneumoperitoneum machine as a nominal maximum value, gradually increasing the air pressure value in the simulated abdominal cavity through the vacuum pump module 3 after the simulated abdominal cavity is built up until the pneumoperitoneum machine 10 to be tested gives out an overpressure alarm, recording that the pressure sensor module 2 measures the pressure in the simulated abdominal cavity at the moment as an actual overpressure alarm air pressure value, and calculating by the microprocessor according to the error value of the overpressure alarm air pressure difference by the aid of the microprocessor;
A pg ＝P rg -P sg 3
A a ＝A pg0 -A pg 4. The method is to
Wherein: a is that pg Representing measured value, P of overpressure alarm air pressure difference rg Indicating the overpressure alarm air pressure value, P sg Indicating the air pressure setting value, A a Error value representing overpressure alarm air pressure difference, A pg0 The nominal value of the overpressure alarm air pressure difference is obtained from technical data of the pneumoperitoneum machine 10 to be tested.
Selecting three measuring points of the highest value, the middle value and the lowest value in the nominal range of the flow set value of the pneumoperitoneum machine 10 to be measured, respectively detecting each measuring point 3 times by the flow sensor module 4 at the three measuring points, taking the average value of 3 times, calculating and recording data, and calculating by the microprocessor according to the formulas 5 and 6:
wherein:for the relative error of the flow setting value, LS is the flow setting value,/->The average value of the three flow measurements is calculated,absolute errors are set for the flows.
Three measuring points of the highest value, the middle value and the lowest value are selected in the nominal range of the flow set value of the pneumoperitoneum machine 10 to be measured, the flow sensor module 4 respectively detects each measuring point for 3 times at the three measuring points, the average value of 3 times is taken as the measuring value of the point, the microprocessor reads the flow display value on the pneumoperitoneum machine 10 to be measured at the moment, and the microprocessor calculates according to the formula 7 and the formula 8:
wherein:relative error of flow display value, +.>For three times of flow display valueAverage value->Setting absolute error for flow rate,/->For the average of three flow measurements,/->Absolute error is displayed for the flow.
The vacuum pump module 3 controls the gas to enter the simulated abdominal cavity to generate an overpressure function, and the vacuum pump generates continuous gas when detecting the overpressure alarm through a pulse signal, so that the pneumoperitoneum machine achieves the overpressure alarm. The maximum sustainable maintenance of the vacuum pump is 7.5L/min, the maximum pressure can reach 100KPa, the air pressure required by the generation of overpressure alarm is met, the occurrence noise is low, the service life is prolonged, and the like. A39558LBTR-T is the motor drive, as shown in FIG. 2, which is a control circuit diagram of the vacuum pump module.
The peristaltic pump can control the water flow by controlling the rotating speed of the stepping motor, can control the flow of 2.5L/min at maximum, and can control the water flow direction. The whole material is corrosion-proof, and the volume is small. The control flow can complete the establishment of the internal space required by the simulation of the abdominal cavity, and the size of the internal volume of the simulation of the abdominal cavity is controlled by the forward and reverse motor to realize the pressure range required during detection.
The data control processing analysis display unit is mainly responsible for operation, calculation analysis and control, ensures the accuracy of a calculation result, accurately calculates detected data by an interpolation algorithm and a filtering algorithm through a limiting filtering method, and can effectively reduce errors caused by manual calculation and improve the accuracy and the working efficiency of detection by controlling and displaying the detected data in a display screen.
While the foregoing is directed to embodiments of the present invention, other and further details of the invention may be had by the present invention, it should be understood that the foregoing description is merely illustrative of the present invention and that no limitations are intended to the scope of the invention, except insofar as modifications, equivalents, improvements or modifications are within the spirit and principles of the invention.
Claims (10)
1. The pneumoperitoneum machine quality detection system is characterized in that: the detection system comprises a detection and adjustment device and a data control processing analysis display unit, wherein the detection and adjustment device comprises a simulated pneumoperitoneum module (1), a pressure sensor module (2), a vacuum pump module (3) and a flow sensor module (4), the data control processing analysis display unit comprises a microprocessor and a display screen, the simulated pneumoperitoneum module (1) is used for providing a simulated abdominal cavity, the pressure sensor module (2) is used for measuring an actual air pressure value in the simulated abdominal cavity after the simulated abdominal cavity is built, a pneumoperitoneum machine (10) to be detected is used for measuring an air pressure value of the simulated abdominal cavity, the vacuum pump module (3) is used for generating air so that the simulated abdominal cavity generates overpressure, the flow sensor module (4) is connected with a pneumoperitoneum pipe of the to-be-detected pneumoperitoneum machine, and the microprocessor is used for acquiring a flow setting value error and a flow display value error of the to-be-detected pneumoperitoneum machine through the flow sensor module (4); the microprocessor obtains the air pressure setting value error, the air pressure display value error and the overvoltage alarm air pressure difference error of the pneumoperitoneum machine through the pressure sensor module (2) and the vacuum pump module (3).
2. The pneumoperitoneum machine quality detection system according to claim 1, wherein: the simulated pneumoperitoneum module (1) comprises a first water tank, a second water tank, a peristaltic pump and a stepping motor, wherein the peristaltic pump pumps water in the first water tank to the second water tank through the stepping motor, and the stepping motor controls the internal volume of the simulated abdominal cavity to realize the pressure range required during detection.
3. The pneumoperitoneum machine quality detection system according to claim 1, wherein: the pneumoperitoneum machine quality detection system comprises a gas leakage adjusting valve (5), and the simulated abdominal cavity is in a micro gas leakage state through the gas leakage adjusting valve (5).
4. The pneumoperitoneum machine quality detection system according to claim 1, wherein: the pneumoperitoneum machine quality detection system also comprises a liquid level sensor, wherein the liquid level sensor is connected with the microprocessor, and the microprocessor controls the peristaltic pump to change the pneumoperitoneum size of the simulated abdominal cavity according to the height of the water level detected by the liquid level sensor.
5. The pneumoperitoneum machine quality detection system according to claim 1, wherein: selecting five measurement points in the nominal range of the air pressure set value of the pneumoperitoneum machine (10) to be measured, measuring each point for 3 times, taking the average value of 3 times as the measured value of the point, and calculating the air pressure set value error according to the formula 1:
wherein: a is that ps Representing the air pressure setting value error of the selected measuring point, P s Indicating the set value of the air pressure,mean of 3 barometric pressure measurements is shown.
6. The pneumoperitoneum machine quality detection system according to claim 1, wherein: in the pneumoperitoneum maintaining process, a pressure sensor module (2) measures an actual air pressure value in an analog abdominal cavity, meanwhile, a microprocessor reads an air pressure display value of a pneumoperitoneum machine (10) to be measured, five measuring points are selected in a nominal range of an air pressure set value through control of the microprocessor, each point is measured for 3 times, an average value of the 3 times is taken as a measured value of the point, and an air pressure display value error is calculated according to the formula 2:
wherein: a is that px An error of the air pressure display value is indicated,mean value of the air pressure display value of 3 times, < >>Mean of 3 barometric pressure measurements is shown.
7. The pneumoperitoneum machine quality detection system according to claim 1, wherein: setting the air pressure of a pneumoperitoneum machine as a nominal maximum value, gradually increasing the air pressure value in the simulated abdominal cavity through a vacuum pump module (3) after the simulated abdominal cavity is built up until the pneumoperitoneum machine (10) to be tested gives out an overpressure alarm, recording that the pressure sensor module (2) measures the pressure in the simulated abdominal cavity at the moment as an actual overpressure alarm air pressure value, and calculating by the microprocessor according to the 3 to obtain an error value of the overpressure alarm air pressure difference;
A pg ＝P rg -P sg 3
A a ＝A pg0 -A pg 4. The method is to
Wherein: a is that pg Representing measured value, P of overpressure alarm air pressure difference rg Indicating the overpressure alarm air pressure value, P sg Indicating the air pressure setting value, A a Error value representing overpressure alarm air pressure difference, A pg0 Indicating the nominal value of the overpressure alarm air pressure difference.
8. The pneumoperitoneum machine quality detection system according to claim 1, wherein: selecting three measuring points of the highest value, the middle value and the lowest value in the nominal range of the flow set value of the pneumoperitoneum machine (10) to be measured, respectively detecting each measuring point 3 times at the three measuring points by the flow sensor module (4), taking the average value of 3 times, calculating and recording data, and calculating by the microprocessor according to the formulas 5 and 6:
wherein:setting a relative error for the flow rate, L S Setting a value for the flow,/->For the average of three flow measurements,/->Absolute errors are set for the flows.
9. The pneumoperitoneum machine quality detection system according to claim 1, wherein: three measuring points of the highest value, the middle value and the lowest value are selected in the nominal range of the flow set value of the pneumoperitoneum machine (10) to be measured, the flow sensor module (4) respectively detects each measuring point for 3 times at the three measuring points, the average value of 3 times is taken as the measured value of the point, the microprocessor reads the flow display value on the pneumoperitoneum machine (10) to be measured at the moment, and the microprocessor calculates according to the formula 7 and the formula 8:
wherein:relative error of flow display value, +.>Is the three-time flow display value is flatMean value of->Setting absolute error for flow rate,/->For the average of three flow measurements,/->Absolute error is displayed for the flow.
10. The pneumoperitoneum machine quality detection system according to claim 1, wherein: the microprocessor calculates the detected data accurately by interpolation algorithm and amplitude limiting filtering method, and displays the detection result on the display screen.
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