A medical hospital infection monitoring system

Abstract

The present invention discloses a medical nosocomial infection monitoring system, comprising a sample processing module, a culture instrument, an inoculation instrument, an identification instrument, a controller, a display module, a storage module, a three-dimensional clamp, a position detection module, an assembly line drive unit, a recovery unit and an assembly line; the assembly line passes through the sample processing module, the culture instrument, the inoculation instrument and the identification instrument in sequence; the present invention obtains sample information in each room through the sample processing module, and puts the sample in a sampling cup with an identification label, and then through the controller and the corresponding position detection module, the three-dimensional clamp and the assembly line drive unit, the sample in the sampling cup can be cultured, inoculated and identified in sequence, thereby realizing the automation of the culture, inoculation and identification processes, and the obtained results are directly displayed with the help of the display module for easy viewing, and the identification records are left with the help of the storage module for easy future inquiry; the present invention is simple, effective and easy to use.

Description

Technical Field

[0001] The invention belongs to the medical field and relates to an infection monitoring technology, in particular to a medical hospital infection monitoring system. Background Art

[0002] A hospital is a medical institution that accepts supervision from all sectors of society, provides medical care services, and has the main purpose of saving lives and healing the wounded. Its service objects include not only the sick and the wounded, but also healthy people in a specific physiological state, such as pregnant women, parturients, newborns, etc., as well as completely healthy people, such as those who come to the hospital for physical examinations or oral cleaning.

[0003] As a public place, and due to the particularity of its environment, the hospital is often easy to be infected or exposed to some bacteria, which can cause great harm to the human body, even in the office. Therefore, it is necessary to monitor the sanitary infection in the room from time to time. At present, our practice is usually to use test strips to take samples in various rooms including offices, relevant departments and operating rooms, and then conduct one-by-one review in relevant departments such as culture, inoculation and identification. In this way, each department is tested first, which undoubtedly requires manpower to participate, and the monitoring efficiency is low, and there is no linkage between each other. In order to solve the above defects, a technical solution is provided. Summary of the invention

[0004] The object of the present invention is to provide a medical nosocomial infection monitoring system.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A medical nosocomial infection monitoring system includes a sample processing module, a culture instrument, an inoculation instrument, an identification instrument, a controller, a display module, a storage module, a three-dimensional gripper, a position detection module, an assembly line drive unit, a recovery unit and an assembly line;

[0007] The assembly line sequentially passes through a sample processing module, a culture instrument, an inoculation instrument, and an identification instrument;

[0008] The sample processing module is used to collect sanitary samples from various rooms in the hospital by means of a sampling cup. The sanitary samples can be samples collected in various rooms using test strips. The sampling cup is provided with an identification label, and the identification label is provided with the ownership information of the room. The ownership information is used to identify which room the sample belongs to. After the sampling is completed, the sampling cup is placed on the assembly line. The position detection module is used to detect the position of the sampling cup on the assembly line in real time. The recovery unit is used to recover the sampling cup on the assembly line.

[0009] The controller is used to perform infection monitoring steps in combination with a culture instrument, an inoculation instrument, an identification instrument, a position detection module, a three-dimensional gripper, an assembly line drive unit and an assembly line, and the specific steps are as follows:

[0010] Step 1: When the position detection module detects that the sampling cup has reached the position of the incubator, the controller transmits a culture signal to the controller. When the controller receives the culture signal transmitted by the position detection module, the controller enters the culture process. The specific process is as follows:

[0011] S1: First, the controller transmits a pause signal to the pipeline driving unit, and the pipeline driving unit drives the pipeline to stop;

[0012] S2: The controller drives the three-dimensional gripper to pick up the sampling cup from the production line and put it into the incubator. The incubator is used to quickly culture the microorganisms in the sampling cup and transmit a grabbing signal to the controller after the culture is completed.

[0013] S3: When the controller receives the grabbing signal transmitted by the incubator, it drives the three-dimensional gripper to grab the sampling cup from the incubator to the production line; the current incubation operation of the sampling cup is ended; at the same time, the controller transmits a start signal to the production line drive unit;

[0014] S4: The pipeline driving unit drives the pipeline to start operation;

[0015] Step 2: When the position detection module detects that the sampling cup has reached the position of the inoculator, the position detection module transmits an inoculation signal to the controller, and the controller receives the inoculation signal transmitted by the position detection module and automatically enters the inoculation test, and re-clamps the sampling cup onto the assembly line after the inoculation test is completed;

[0016] Step 3: When the position detection module detects that the sampling cup has reached the position of the identification instrument, the position detection module transmits an identification signal to the controller, and the controller enters the identification process when receiving the identification signal transmitted by the position detection module;

[0017] The identification instrument will also automatically identify the identification label on the sampling cup during the identification operation, and obtain the ownership information of the room where the sampling cup is located;

[0018] The identification instrument is also used to obtain identification result information after the health sample in the sampling cup is identified, and the identification instrument is used to transmit the result information and the corresponding attribution information to the controller, and the controller transmits the result information and the corresponding attribution information to the display module for real-time display;

[0019] The controller also includes a position acquisition unit, a detection and analysis unit and a determination unit;

[0020] After receiving the identification result, the controller extracts the corresponding identification result and attribution information, and sends a collection command to the collection unit. The collection unit collects the detection information and transmits the detection information to the detection and analysis unit. The storage module stores the sample information. The detection and analysis unit obtains the identification result information, attribution information and sample information from the controller and the storage module, and performs detection and analysis on them and the detection information, specifically:

[0021] G1: Get the detection information, calibrate the position image that the detection device is aimed at during the internal detection as the detection position image, and calibrate it as JWi, i=1,2,3......n1, calibrate the external sunlight intensity during the internal detection as the illumination data, and mark the illumination data as GZi, i=1,2,3......n1, calibrate the surrounding temperature data during the internal monitoring as WDi, i=1,2,3......n1, get the result data, calibrate the value of the internal detection result as the detection value, and calibrate the monitoring value as CZi, i=1,2,3......n1, and calibrate the belonging room corresponding to the internal monitoring result as GSi, i=1,2,3......n1;

[0022] G2: Obtain sample information, mark the images of different parts of the sample as part image information, and mark the part image information as BYj, j=1,2,3...n2, mark the part names corresponding to the internal image information as part name data, and mark the part name data as BMj, j=1,2,3...n2;

[0023] G3: extract the part image information and the detection position image, and match them. Specifically, when the matching results of the part image information and the detection position image are consistent, the image matching is determined to be successful and an image correct signal is generated. When the matching results of the part image information and the detection position image are inconsistent, the image matching is determined to be unsuccessful and an image error signal is generated.

[0024] G4: extract the correct signal and the wrong signal, and identify them. When the wrong signal is identified, no data extraction is performed. When the correct signal is identified, the part name data corresponding to the correct signal is automatically extracted.

[0025] G5: With the result data as the Y-axis, the part name data as the X-axis, the illumination data as the X-axis, and the temperature data as the X-axis, three virtual rectangular coordinate systems are established, and the corresponding data are marked in the virtual rectangular coordinate system, and the values ​​in the virtual rectangular coordinate system are analyzed, specifically:

[0026] H1: Get the part name data, illumination data and temperature data, keep the illumination data and temperature data unchanged, select different part name data and corresponding test values, and mark one of the part names as the standard part, according to the total calculation formula: test value = part name data * part influence factor + illumination data * mean value of illumination influence factor + temperature data * mean value of temperature influence factor, set the calculation formula that the illumination data and temperature data remain unchanged: test value - (test value corresponding to unchanged temperature and illumination) = part influence factor * part value, set a standard part, and combine the change value of the corresponding test value with the part, so as to calculate the part influence factor. There are multiple values ​​in the above selection, that is, multiple part influence factors, which are summed and then divided by the corresponding number to calculate the mean value of the part influence factor;

[0027] H2: According to the calculation method of the mean value of the location influencing factor in H1 above, calculate the corresponding mean value of the light influencing factor and the mean value of the temperature influencing factor;

[0028] G6: Obtain sample information and put it into the calculation formula together with the mean of the part influence factor, the mean of the light influence factor and the mean of the temperature influence factor; expected detection value = part name data * part influence factor + light data * mean of the light influence factor + temperature data * mean of the temperature influence factor, so as to calculate the expected detection value;

[0029] G7: Transmit the estimated detection value to the storage module;

[0030] The storage module is used to store result information, corresponding attribution information and expected detection value. The expected detection value is a detection prediction value before the next detection, and is compared with the actual detection value. When the difference is within the set range, the detection is judged to be correct. When the difference is not within the set range, a secondary detection is performed.

[0031] Furthermore, the inoculation test in step 2 is specifically performed as follows:

[0032] S1: When the controller receives the inoculation signal transmitted by the position detection module, it transmits a pause signal to the pipeline drive unit, and the pipeline drive unit drives the control pipeline to stop;

[0033] S2: The controller drives the three-dimensional gripper to clamp the sampling cup from the production line to the inoculator for inoculation. After the inoculation operation is completed, the inoculator transmits a grabbing signal to the controller;

[0034] S3: When the controller receives the grabbing signal transmitted by the inoculator, it drives the three-dimensional gripper to grab the sampling cup from the inoculator to the assembly line; the inoculation operation of the current sampling cup ends; at the same time, the controller transmits a start signal to the assembly line drive unit;

[0035] S4: The pipeline driving unit drives the pipeline to start operation.

[0036] Furthermore, the identification process in step 3 is specifically manifested as follows:

[0037] S1: When the controller receives the identification signal transmitted by the position detection module, it transmits a pause signal to the pipeline driving unit, and the pipeline driving unit drives the control pipeline to stop the action;

[0038] S2: The controller drives the three-dimensional gripper to clamp the sampling cup from the production line to the identification instrument for identification operation, and transmits a grabbing signal to the controller after the identification operation is completed;

[0039] S3: When the controller receives the grabbing signal transmitted by the identification instrument, it drives the three-dimensional gripper to clamp the sampling cup from the identification instrument to the production line; the identification operation of the current sampling cup is ended; at the same time, the controller transmits a start signal to the production line drive unit;

[0040] S4: The pipeline driving unit drives the pipeline to start operation and transfers the sampling cup to the sampling cup recovery unit.

[0041] Furthermore, the culture instrument is used to culture the microorganisms in the sampling cup to promote their rapid growth in the culture instrument.

[0042] Furthermore, the inoculator is used to perform an inoculation test on the microorganisms in the culture instrument.

[0043] The beneficial effects of the present invention are as follows: the present invention obtains the sample information in each room through the sample processing module, and places the sample in a sampling cup with an identification label, and then through the controller and the corresponding position detection module, the three-dimensional clamp and the assembly line drive unit, the sample in the sampling cup can undergo the steps of cultivation, inoculation and identification in sequence, thereby realizing the automation of the cultivation, inoculation and identification process, and the obtained results are directly displayed with the help of the display module for easy viewing, and the identification record is left with the help of the storage module for easy query in the future; the present invention is simple, effective and easy to use.

[0044] Through the setting of the acquisition unit and the detection and analysis unit in the processor, the data before the detection is predicted, and the actual detection value is compared and analyzed with the predicted value, thereby increasing the accuracy of data detection and improving work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0046] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0047] like Figure 1 As shown, a medical nosocomial infection monitoring system includes a sample processing module, a culture instrument, an inoculation instrument, an identification instrument, a controller, a display module, a storage module, a three-dimensional gripper, a position detection module, an assembly line drive unit, a recovery unit and an assembly line;

[0048] The assembly line sequentially passes through a sample processing module, a culture instrument, an inoculation instrument, and an identification instrument;

[0049] The sample processing module is used to collect sanitary samples from various rooms in the hospital by means of a sampling cup. The sanitary samples can be samples collected in various rooms using test strips. The sampling cup is provided with an identification label, and the identification label is provided with the ownership information of the room. The ownership information is used to identify which room the sample belongs to. After the sampling is completed, the sampling cup is placed on the assembly line. The position detection module is used to detect the position of the sampling cup on the assembly line in real time. The recovery unit is used to recover the sampling cup on the assembly line.

[0050] The controller is used to perform infection monitoring steps in combination with a culture instrument, an inoculation instrument, an identification instrument, a position detection module, a three-dimensional gripper, an assembly line drive unit and an assembly line, and the specific steps are as follows:

[0051] Step 1: When the position detection module detects that the sampling cup has reached the position of the incubator, the controller transmits a culture signal to the controller. When the controller receives the culture signal transmitted by the position detection module, the controller enters the culture process. The specific process is as follows:

[0052] S1: First, the controller transmits a pause signal to the pipeline driving unit, and the pipeline driving unit drives the pipeline to stop;

[0053] S2: The controller drives the three-dimensional gripper to pick up the sampling cup from the production line and put it into the incubator. The incubator is used to quickly culture the microorganisms in the sampling cup and transmit a grabbing signal to the controller after the culture is completed.

[0054] S3: When the controller receives the grabbing signal transmitted by the incubator, it drives the three-dimensional gripper to grab the sampling cup from the incubator to the production line; the current incubation operation of the sampling cup is ended; at the same time, the controller transmits a start signal to the production line drive unit;

[0055] S4: The pipeline driving unit drives the pipeline to start operation;

[0056] Step 2: When the position detection module detects that the sampling cup has reached the position of the inoculator, the position detection module transmits an inoculation signal to the controller. The controller receives the inoculation signal transmitted by the position detection module and automatically enters the inoculation test. The specific performance is as follows:

[0057] S1: When the controller receives the inoculation signal transmitted by the position detection module, it transmits a pause signal to the pipeline drive unit, and the pipeline drive unit drives the control pipeline to stop;

[0058] S2: The controller drives the three-dimensional gripper to clamp the sampling cup from the production line to the inoculator for inoculation. After the inoculation operation is completed, the inoculator transmits a grabbing signal to the controller;

[0059] S3: When the controller receives the grabbing signal transmitted by the inoculator, it drives the three-dimensional gripper to grab the sampling cup from the inoculator to the assembly line; the inoculation operation of the current sampling cup ends; at the same time, the controller transmits a start signal to the assembly line drive unit;

[0060] S4: The pipeline driving unit drives the pipeline to start operation.

[0061] Step 3: When the position detection module detects that the sampling cup has reached the position of the identification instrument, it transmits an identification signal to the controller. When the controller receives the identification signal transmitted by the position detection module, it enters the identification process, which is specifically manifested as follows:

[0062] S1: When the controller receives the identification signal transmitted by the position detection module, it transmits a pause signal to the pipeline driving unit, and the pipeline driving unit drives the control pipeline to stop the action;

[0063] S2: The controller drives the three-dimensional gripper to clamp the sampling cup from the production line to the identification instrument for identification operation, and transmits a grabbing signal to the controller after the identification operation is completed;

[0064] S3: When the controller receives the grabbing signal transmitted by the identification instrument, it drives the three-dimensional gripper to clamp the sampling cup from the identification instrument to the production line; the identification operation of the current sampling cup is ended; at the same time, the controller transmits a start signal to the production line drive unit;

[0065] S4: The pipeline driving unit drives the pipeline to start operation and transfers the sampling cup to the sampling cup recovery unit.

[0066] The identification instrument will also automatically identify the identification label on the sampling cup during the identification operation, and obtain the ownership information of the room where the sampling cup is located;

[0067] The identification instrument is also used to obtain identification result information after the health sample in the sampling cup is identified, and the identification instrument is used to transmit the result information and the corresponding attribution information to the controller, and the controller transmits the result information and the corresponding attribution information to the display module for real-time display;

[0068] The controller also includes a position acquisition unit, a detection and analysis unit and a determination unit;

[0069] After receiving the identification result, the controller extracts the corresponding identification result and attribution information, and sends a collection command to the collection unit. The collection unit collects the detection information and transmits the detection information to the detection and analysis unit. The storage module stores the sample information. The detection and analysis unit obtains the identification result information, attribution information and sample information from the controller and the storage module, and performs detection and analysis on them and the detection information, specifically:

[0070] G1: Get the detection information, calibrate the position image that the detection device is aimed at during the internal detection as the detection position image, and calibrate it as JWi, i=1,2,3......n1, calibrate the external sunlight intensity during the internal detection as the illumination data, and mark the illumination data as GZi, i=1,2,3......n1, calibrate the surrounding temperature data during the internal monitoring as WDi, i=1,2,3......n1, get the result data, calibrate the value of the internal detection result as the detection value, and calibrate the monitoring value as CZi, i=1,2,3......n1, and calibrate the belonging room corresponding to the internal monitoring result as GSi, i=1,2,3......n1;

[0071] G2: Obtain sample information, mark the images of different parts of the sample as part image information, and mark the part image information as BYj, j=1,2,3...n2, mark the part names corresponding to the internal image information as part name data, and mark the part name data as BMj, j=1,2,3...n2;

[0072] G3: extract the part image information and the detection position image, and match them. Specifically, when the matching results of the part image information and the detection position image are consistent, the image matching is determined to be successful and an image correct signal is generated. When the matching results of the part image information and the detection position image are inconsistent, the image matching is determined to be unsuccessful and an image error signal is generated.

[0073] G4: extract the correct signal and the wrong signal, and identify them. When the wrong signal is identified, no data extraction is performed. When the correct signal is identified, the part name data corresponding to the correct signal is automatically extracted.

[0074] G5: With the result data as the Y-axis, the part name data as the X-axis, the illumination data as the X-axis, and the temperature data as the X-axis, three virtual rectangular coordinate systems are established, and the corresponding data are marked in the virtual rectangular coordinate system, and the values ​​in the virtual rectangular coordinate system are analyzed, specifically:

[0075] H1: Get the part name data, illumination data and temperature data, keep the illumination data and temperature data unchanged, select different part name data and corresponding test values, and mark one of the part names as the standard part, according to the total calculation formula: test value = part name data * part influence factor + illumination data * mean value of illumination influence factor + temperature data * mean value of temperature influence factor, set the calculation formula that the illumination data and temperature data remain unchanged: test value - (test value corresponding to unchanged temperature and illumination) = part influence factor * part value, set a standard part, and combine the change value of the corresponding test value with the part, so as to calculate the part influence factor. There are multiple values ​​in the above selection, that is, multiple part influence factors, which are summed and then divided by the corresponding number to calculate the mean value of the part influence factor;

[0076] H2: According to the calculation method of the mean value of the location influencing factor in H1 above, calculate the corresponding mean value of the light influencing factor and the mean value of the temperature influencing factor;

[0077] G6: Obtain sample information and put it into the calculation formula together with the mean of the part influence factor, the mean of the light influence factor and the mean of the temperature influence factor; expected detection value = part name data * part influence factor + light data * mean of the light influence factor + temperature data * mean of the temperature influence factor, so as to calculate the expected detection value;

[0078] G7: Transmit the estimated detection value to the storage module;

[0079] The storage module is used to store result information, corresponding attribution information and expected detection value. The expected detection value is a detection prediction value before the next detection, and is compared with the actual detection value. When the difference is within the set range, the detection is judged to be correct. When the difference is not within the set range, a secondary detection is performed.

[0080] Furthermore, the culture instrument is used to culture the microorganisms in the sampling cup to promote their rapid growth in the culture instrument.

[0081] Furthermore, the inoculator is used to perform an inoculation test on the microorganisms in the culture instrument.

[0082] A medical nosocomial infection monitoring system, when working, first obtains sample information in each room through a sample processing module, and puts the sample in a sampling cup with an identification label, and then through a controller and a corresponding position detection module, a three-dimensional clamp and an assembly line drive unit, the sample in the sampling cup can sequentially undergo the steps of culture, inoculation and identification, thereby realizing the automation of the culture, inoculation and identification processes, and the obtained results are directly displayed with the help of a display module for easy viewing, and the identification records are left with the help of a storage module for easy future inquiry; the present invention is simple, effective, and easy to use.

[0083] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A medical nosocomial infection monitoring system, characterized in that: It includes a sample processing module, a culture instrument, an inoculation instrument, an identification instrument, a controller, a display module, a storage module, a three-dimensional gripper, a position detection module, an assembly line drive unit, a recovery unit and an assembly line; The assembly line sequentially passes through a sample processing module, a culture instrument, an inoculation instrument, and an identification instrument; The sample processing module is used to collect sanitary samples from various rooms in the hospital by means of a sampling cup. The sanitary samples can be samples collected in various rooms using test strips. The sampling cup is provided with an identification label, and the identification label is provided with the ownership information of the room. The ownership information is used to identify which room the sample belongs to. After the sampling is completed, the sampling cup is placed on the assembly line. The position detection module is used to detect the position of the sampling cup on the assembly line in real time. The recovery unit is used to recover the sampling cup on the assembly line. The controller is used to perform infection monitoring steps in combination with a culture instrument, an inoculation instrument, an identification instrument, a position detection module, a three-dimensional gripper, an assembly line drive unit and an assembly line, and the specific steps are as follows: Step 1: When the position detection module detects that the sampling cup has reached the position of the incubator, the controller transmits a culture signal to the controller. When the controller receives the culture signal transmitted by the position detection module, the controller enters the culture process. The specific process is as follows: S1: First, the controller transmits a pause signal to the pipeline driving unit, and the pipeline driving unit drives the pipeline to stop; S2: The controller drives the three-dimensional gripper to pick up the sampling cup from the production line and put it into the incubator. The incubator is used to quickly culture the microorganisms in the sampling cup and transmit a grabbing signal to the controller after the culture is completed. S3: When the controller receives the grabbing signal transmitted by the incubator, it drives the three-dimensional gripper to grab the sampling cup from the incubator to the production line; the current incubation operation of the sampling cup is ended; at the same time, the controller transmits a start signal to the production line drive unit; S4: The pipeline driving unit drives the pipeline to start operation; Step 2: When the position detection module detects that the sampling cup has reached the position of the inoculator, the position detection module transmits an inoculation signal to the controller, and the controller receives the inoculation signal transmitted by the position detection module and automatically enters the inoculation test, and re-clamps the sampling cup onto the assembly line after the inoculation test is completed; Step 3: When the position detection module detects that the sampling cup has reached the position of the identification instrument, the position detection module transmits an identification signal to the controller, and the controller enters the identification process when receiving the identification signal transmitted by the position detection module; The identification instrument will also automatically identify the identification label on the sampling cup during the identification operation, and obtain the ownership information of the room where the sampling cup is located; The identification instrument is also used to obtain identification result information after the identification of the sanitary sample in the sampling cup is completed, and the identification instrument is used to transmit the result information and the corresponding attribution information to the controller, and the controller transmits the result information and the corresponding attribution information to the display module for real-time display; The controller also includes a position acquisition unit, a detection and analysis unit and a determination unit; After receiving the identification result, the controller extracts the corresponding identification result and attribution information, and sends a collection command to the collection unit. The collection unit collects the detection information and transmits the detection information to the detection and analysis unit. The storage module stores the sample information. The detection and analysis unit obtains the identification result information, attribution information and sample information from the controller and the storage module, and performs detection and analysis on them and the detection information, specifically: G1: Get the detection information, calibrate the position image that the detection device is aimed at during the internal detection as the detection position image, and calibrate it as JWi, i=1,2,3......n1, calibrate the external sunlight intensity during the internal detection as the illumination data, and mark the illumination data as GZi, i=1,2,3......n1, calibrate the surrounding temperature data during the internal monitoring as WDi, i=1,2,3......n1, get the result data, calibrate the value of the internal detection result as the detection value, and calibrate the detection value as CZi, i=1,2,3......n1, and calibrate the belonging room corresponding to the internal detection result as GSi, i=1,2,3......n1; G2: Obtain sample information, mark the images of different parts of the sample as part image information, and mark the part image information as BYj, j=1,2,3...n2, mark the part names corresponding to the internal image information as part name data, and mark the part name data as BMj, j=1,2,3...n2; G3: extract the part image information and the detection position image, and match them. Specifically, when the matching results of the part image information and the detection position image are consistent, the image matching is determined to be successful and an image correct signal is generated. When the matching results of the part image information and the detection position image are inconsistent, the image matching is determined to be unsuccessful and an image error signal is generated. G4: extract the correct signal and the wrong signal, and identify them. When the wrong signal is identified, no data extraction is performed. When the correct signal is identified, the part name data corresponding to the correct signal is automatically extracted. G5: With the result data as the Y-axis, the part name data as the X-axis, the illumination data as the X-axis, and the temperature data as the X-axis, three virtual rectangular coordinate systems are established, and the corresponding data are marked in the virtual rectangular coordinate system, and the values ​​in the virtual rectangular coordinate system are analyzed, specifically: H1: Obtain part name data, illumination data and temperature data, keep the illumination data and temperature data unchanged, select different part name data and corresponding test values, and mark one of the part names as the standard part, according to the total calculation formula: test value = part name data * part influence factor + illumination data * mean value of illumination influence factor + temperature data * mean value of temperature influence factor, set the calculation formula that the illumination data and temperature data remain unchanged: test value - (test value corresponding to unchanged temperature and illumination) = part influence factor * part name data, set a standard part, and integrate the change value of the corresponding test value with the part, so as to calculate the part influence factor. There are multiple values ​​in the above selection, that is, multiple part influence factors, which are summed and then divided by the corresponding number to calculate the mean value of the part influence factor; H2: According to the calculation method of the mean value of the location influencing factor in H1 above, calculate the corresponding mean value of the light influencing factor and the mean value of the temperature influencing factor; G6: Obtain sample information and bring it into the calculation formula together with the mean of the part influencing factor, the mean of the light influencing factor and the mean of the temperature influencing factor; expected detection value = part name data * mean of the part influencing factor + light data * mean of the light influencing factor + temperature data * mean of the temperature influencing factor, thereby calculating the expected detection value; G7: Transmit the estimated detection value to the storage module; The storage module is used to store result information, corresponding attribution information and expected detection value. The expected detection value is a detection prediction value before the next detection, and is compared with the actual detection value. When the difference is within the set range, the detection is judged to be correct. When the difference is not within the set range, a secondary detection is performed.

2. A medical nosocomial infection monitoring system according to claim 1, characterized in that: The inoculation test in step 2 is specifically performed as follows: S1: When the controller receives the inoculation signal transmitted by the position detection module, it transmits a pause signal to the pipeline drive unit, and the pipeline drive unit drives the control pipeline to stop; S2: The controller drives the three-dimensional gripper to clamp the sampling cup from the production line to the inoculator for inoculation. After the inoculation operation is completed, the inoculator transmits a grabbing signal to the controller; S3: When the controller receives the grabbing signal transmitted by the inoculator, it drives the three-dimensional gripper to grab the sampling cup from the inoculator to the assembly line; the inoculation operation of the current sampling cup ends; at the same time, the controller transmits a start signal to the assembly line drive unit; S4: The pipeline driving unit drives the pipeline to start operation.

3. A medical nosocomial infection monitoring system according to claim 1, characterized in that: The identification process in step 3 is specifically manifested as follows: S1: When the controller receives the identification signal transmitted by the position detection module, it transmits a pause signal to the pipeline driving unit, and the pipeline driving unit drives the control pipeline to stop the action; S2: The controller drives the three-dimensional gripper to clamp the sampling cup from the production line to the identification instrument for identification operation, and transmits a grabbing signal to the controller after the identification operation is completed; S3: When the controller receives the grabbing signal transmitted by the identification instrument, it drives the three-dimensional gripper to clamp the sampling cup from the identification instrument to the production line; the identification operation of the current sampling cup is ended; at the same time, the controller transmits a start signal to the production line drive unit; S4: The pipeline driving unit drives the pipeline to start operation and transfers the sampling cup to the sampling cup recovery unit.

4. A medical nosocomial infection monitoring system according to claim 1, characterized in that: The culture instrument is used to culture the microorganisms in the sampling cup and promote their rapid growth in the culture instrument.

5. A medical nosocomial infection monitoring system according to claim 1, characterized in that: The inoculator is used for carrying out an inoculation test on the microorganisms in the culture instrument.

Images