CN111735976B - Automatic data result display method based on detection equipment - Google Patents

Automatic data result display method based on detection equipment Download PDF

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CN111735976B
CN111735976B CN202010844579.5A CN202010844579A CN111735976B CN 111735976 B CN111735976 B CN 111735976B CN 202010844579 A CN202010844579 A CN 202010844579A CN 111735976 B CN111735976 B CN 111735976B
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detection
acceptance
cluster
equipment
result
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CN111735976A (en
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郭静
舒芹
张雪娇
赵愿安
董思远
杨思雨
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Wuhan Life Origin Biotech Joint Stock Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00594—Quality control, including calibration or testing of components of the analyser
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N35/00871—Communications between instruments or with remote terminals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00—Network arrangements, protocols or services for addressing or naming
    • H04L61/45—Network directories; Name-to-address mapping
    • H04L61/4535—Network directories; Name-to-address mapping using an address exchange platform which sets up a session between two nodes, e.g. rendezvous servers, session initiation protocols [SIP] registrars or H.323 gatekeepers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0876—Network architectures or network communication protocols for network security for authentication of entities based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N35/00871—Communications between instruments or with remote terminals
    • G01N2035/00881—Communications between instruments or with remote terminals network configurations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00722—Communications; Identification
    • G01N2035/00891—Displaying information to the operator

Abstract

S1, configuring IP address information of the detection device accessed to the network, splicing the unique identification code and the IP address information of the detection device into identification information, and sending the identification information to a server; s2, before formal detection is carried out on the detection equipment, carrying out reliability self-detection on the detection equipment, and jumping to the step S3 after the self-detection is passed; s3, carrying out organization network division on the equipment to be detected through a preset mode to obtain an area detection cluster; s4, checking the detection acceptance of the area detection cluster, and jumping to the step S5 when the detection acceptance reaches a preset value; s5, detecting the biochemical substances to be detected through the area detection cluster, and sending the detection result and the unique identification code of the detection equipment to the server; and S6, integrating the received detection result and the unique identification code of the detection equipment according to the identification information by the server to generate an analysis result hotspot graph of different region display areas.

Description

Automatic data result display method based on detection equipment
Technical Field
The invention relates to the technical field of data processing, in particular to a data result automatic display method based on detection equipment.
Background
The biochemical analysis and detection equipment is an instrument for measuring a certain specific chemical component, and is widely used in various hospitals, epidemic prevention stations and other occasions due to high measuring speed, high accuracy and small reagent consumption. When an emergency occurs, the biochemical analysis and detection equipment can be used for rapidly detecting large-scale and large-range biochemical substances.
In the prior art, different detection equipment manufacturers and production batches are different, so that the detected data are different in accuracy, and the detected data cannot be accurately applied to risk assessment of emergency and formulation of treatment schemes.
Disclosure of Invention
In view of the above, the present invention provides a method for automatically displaying data results based on a detection device, which includes the following steps:
s1, configuring IP address information of the detection device accessed to the network, splicing the unique identification code and the IP address information of the detection device into identification information, and sending the identification information to the server;
s2, before formal detection is carried out on the detection equipment, carrying out reliability self-detection on the detection equipment, and jumping to the step S3 after the self-detection is passed, otherwise, ending the process;
s3, carrying out organization network division on the equipment to be detected through a preset mode to obtain an area detection cluster;
s4, checking the detection acceptance of the area detection cluster, and jumping to S5 when the detection acceptance reaches a preset value, otherwise, ending the process;
s5, detecting the biochemical substances to be detected through the area detection cluster, and sending the detection result and the unique identification code of the detection equipment to the server;
s6, the server integrates the received detection result and the unique identification code of the detection equipment according to the identification information, and generates analysis result hot spot diagrams of different region display areas according to the integration result;
the step S3 includes:
s31, the server analyzes the unique identification code and the IP address information of the detection equipment in the identification information, and divides the detection equipment into different grid cells according to the IP address field, wherein the grid cells are provided with a plurality of detection equipment;
s32, dividing the detection devices in the grid cells into a master detection device and a slave detection device;
s33, recombining the grid cells into an area detection cluster according to the serial numbers;
the step S4 includes:
s41, configuring an acceptance preset value of the area detection cluster;
s42, obtaining acceptance values of grid cells in the area detection cluster according to the self-detection result obtained in the step S2 in advance;
s43, generating an actual acceptance value of the area detection cluster according to the acceptance value of the network unit, judging whether the actual acceptance value of the area detection cluster reaches a preset acceptance value, if not, jumping to S44, otherwise, jumping to S5;
s44, reconfiguring the number of the master detection device and the slave detection device in the grid unit, jumping to and executing the steps S42 and the following steps;
s45, jumping to the step S5;
the step S2 of obtaining the acceptance value of the grid cell in the area detection cluster from the self-test result obtained includes:
in acquisition area detection cluster
Figure 605525DEST_PATH_IMAGE001
A grid cell, a grid cell
Figure 65456DEST_PATH_IMAGE002
Comprises
Figure 170815DEST_PATH_IMAGE003
The main detection device and the auxiliary detection device acquire the acceptance values of the grid units, and the acceptance values of the grid units are as follows:
Figure 917055DEST_PATH_IMAGE004
wherein
Figure 350441DEST_PATH_IMAGE005
As a grid cell
Figure 738697DEST_PATH_IMAGE006
The value of the acceptance of (a) is,
Figure 698563DEST_PATH_IMAGE007
as a grid cell
Figure 989605DEST_PATH_IMAGE008
Master or slave detection device
Figure 300500DEST_PATH_IMAGE009
A detection rate of (2), wherein
Figure 961289DEST_PATH_IMAGE010
；
In step S43, the actual value of the receptivity of the area detection cluster is generated according to the receptivity value of the network element as follows:
Figure 775661DEST_PATH_IMAGE011
wherein
Figure 4648DEST_PATH_IMAGE012
An actual value of the acceptance of the cluster is detected for the area. In the method for automatically displaying data results based on the detection equipment,
the step S2 includes:
before formal detection is carried out on detection equipment, self-checking is carried out according to a self-checking model by sending a standard sample, and whether a self-checking result meets a preset result or not is judged;
and when the preset result is met, judging that the detection equipment meets the reliability self-checking requirement, and jumping to the step S3, otherwise, ending the process.
In the method for automatically displaying data results based on the detection equipment,
the step S6 includes:
s61, the server analyzes the attribute of the biochemical substance to be detected and the unique identification code of the detection equipment from the detection result, and matches the analyzed unique identification code of the detection equipment with the unique identification code of the detection equipment in the identification information prestored in the server to obtain the IP address information of the detection equipment;
and S62, integrating the IP address information and the attribute of the biochemical substance to be detected by the server, and generating analysis result heat point maps of different region display areas according to the integration result.
Compared with the prior art, the automatic data result display method based on the detection equipment has the following advantages that: the reliability self-check of the detection equipment is carried out before the formal detection of the detection equipment is carried out, the detection acceptance check is carried out on the area detection cluster, the biochemical substances to be detected are detected by the area detection cluster when the detection acceptance reaches a preset value, the defects that the accuracy of detected data is different due to different manufacturers and production batches of different detection equipment, the detected data cannot be accurately applied to risk assessment of emergency and formulation of treatment schemes are overcome, the integral accuracy and reliability of the detected data can be ensured, the analysis result hot spot diagram of different region display areas can be generated according to the integration result, the detection results of different regions can be automatically displayed, and the statistics and analysis time of the detection results is greatly reduced.
Drawings
Fig. 1 is a flowchart of a method for automatically displaying data results based on a detection device according to an embodiment of the present invention.
Detailed Description
As shown in fig. 1, in an embodiment of the present invention, a method for automatically displaying a data result based on a detection device includes the following steps:
s1, configuring IP address information of the detection device accessed to the network, splicing the unique identification code and the IP address information of the detection device into identification information, and sending the identification information to the server;
s2, before formal detection is carried out on the detection equipment, carrying out reliability self-detection on the detection equipment, and jumping to the step S3 after the self-detection is passed, otherwise, ending the process; after the reliability self-check of the detection equipment is carried out, a self-check result is obtained, the self-check result is the detection rate of the detection equipment, and the detection rate represents the detection accuracy rate of the detection equipment to the biochemical substances.
S3, carrying out organization network division on the equipment to be detected through a preset mode to obtain an area detection cluster;
s4, checking the detection acceptance of the area detection cluster, and jumping to S5 when the detection acceptance reaches a preset value, otherwise, ending the process;
s5, detecting the biochemical substances to be detected through the area detection cluster, and sending the detection result and the unique identification code of the detection equipment to the server;
s6, the server integrates the received detection result and the unique identification code of the detection equipment according to the identification information, and generates the analysis result hotspot diagrams of different region display areas according to the integration result.
Alternatively,
the step S2 includes:
before formal detection is carried out on detection equipment, self-checking is carried out according to a self-checking model by sending a standard sample, and whether a self-checking result meets a preset result or not is judged;
and when the preset result is met, judging that the detection equipment meets the reliability self-checking requirement, and jumping to the step S3, otherwise, ending the process.
In a preferred embodiment, the reliability self-test of the detection device can be performed in the following manner:
the detection equipment performs detection analysis on the standard sample, sends a detection result to the server, extracts each chromatographic peak of a chromatographic line (the chromatographic line is a chromatographic outflow curve, and is referred to as a chromatographic line for short) from the detection result, judges that the detection equipment meets the reliability self-checking requirement according to whether the fluctuation of the transverse distance of the chromatographic peak turning meets a preset fluctuation condition or not and judges that the detection equipment meets the reliability self-checking requirement when the preset fluctuation condition is met.
Generally, the fluctuation of the transverse distance of the chromatographic peaks of different biochemical substances has a specific rule, so that the detected result is necessarily in accordance with the rule only according to the normal detection and analysis operation rule, and therefore, whether the detection process is abnormal or not can be preliminarily judged according to whether the fluctuation of the transverse distance of the chromatographic peak turning is in accordance with the preset fluctuation condition or not, the abnormality can be caused by the fault of the biochemical analysis instrument or due to illegal invasion, change of a control signal or falsification of data, and therefore, the detection process is prompted to be abnormal as long as the fluctuation of the transverse distance of the chromatographic peak turning is not in accordance with the preset fluctuation condition.
Alternatively,
the step of judging whether the fluctuation of the transverse distance of the turning of the chromatographic peak meets the preset fluctuation condition or not comprises the following steps:
judging whether the fluctuation of the transverse distance of the turning of the chromatographic peak meets a preset fluctuation condition or not according to the following formula:
Figure 537261DEST_PATH_IMAGE013
wherein n is the number of chromatographic peaks,
Figure 1740DEST_PATH_IMAGE014
，
Figure 811564DEST_PATH_IMAGE015
in order to preset the deviation value of the chromatographic peak,
Figure 336086DEST_PATH_IMAGE016
is the peak width, e is an exponential function,
Figure 355995DEST_PATH_IMAGE017
is the standard deviation of the measured data to be measured,
Figure 358586DEST_PATH_IMAGE018
the retention time, i.e. the retention time of the chromatographic peak,
Figure 22917DEST_PATH_IMAGE019
is the time of occurrence of the chromatographic peak,
Figure 718340DEST_PATH_IMAGE020
is the coefficient of perturbation. The formula can compare the fluctuation of the transverse distance of each chromatographic peak turn with the average value of the fluctuation of the transverse distance of all chromatographic peak turns under the contrast condition after disturbance removal, and judge the fluctuation of the transverse distance of the chromatographic peak turn according to the condition
Figure 225545DEST_PATH_IMAGE021
Is used to determine the effective value range of (1). In the prior art, curve comparison is often directly carried out, the digital precision degree of the curve comparison is not enough, and the disturbance of the inherent characteristics of biochemical analysis and detection equipment is easy to be caused.
Optionally, the accuracy of the detected data is different due to different manufacturers and production batches of different detection devices, and the self-checking model can eliminate the fault of the device. By pairs
Figure 408658DEST_PATH_IMAGE022
And setting values, and screening out detection equipment with detection rate meeting requirements through detecting different standard samples for multiple times.
Alternatively,
the step S3 includes:
s31, the server analyzes the unique identification code and the IP address information of the detection equipment in the identification information, and divides the detection equipment into different grid cells according to the IP address field, wherein the grid cells are provided with a plurality of detection equipment;
s32, dividing the detection devices in the grid cells into a master detection device and a slave detection device; the detection equipment in the grid unit is divided into the main detection equipment and the auxiliary detection equipment so as to improve the detection accuracy of the whole grid unit, the main detection equipment and the auxiliary detection equipment detect the biochemical substances to be detected of the same object (human or other organisms), and the detection accuracy is ensured by adjusting the number of the main detection equipment and the auxiliary detection equipment.
And S33, recombining the grid cells into the area detection cluster according to the sequence numbers.
Alternatively,
the step S4 includes:
s41, configuring an acceptance preset value of the area detection cluster; the acceptance degree preset value of the area detection cluster is used for representing the acceptance degree of the accuracy rate of the detection result of the area detection cluster, the acceptance degree of the area detection cluster is determined by grid units in the area detection cluster, one area detection cluster is provided with a plurality of grid units, and the area detection cluster is the minimum unit for reporting the detection result.
S42, obtaining acceptance values of grid cells in the area detection cluster according to the self-detection result obtained in the step S2 in advance; specifically, the acquiring the acceptability value of the grid cell in the area detection cluster from the self-test result acquired in step S2 includes:
in acquisition area detection cluster
Figure 317708DEST_PATH_IMAGE023
A grid cell, a grid cell
Figure 918454DEST_PATH_IMAGE024
Comprises
Figure 912955DEST_PATH_IMAGE025
The main detection device and the auxiliary detection device acquire the acceptance values of the grid units, and the acceptance values of the grid units are as follows:
Figure 398294DEST_PATH_IMAGE026
wherein
Figure 161850DEST_PATH_IMAGE027
As a grid cell
Figure 933497DEST_PATH_IMAGE028
The value of the acceptance of (a) is,
Figure 556240DEST_PATH_IMAGE029
as a grid cell
Figure 704324DEST_PATH_IMAGE030
Master or slave detection device
Figure 322387DEST_PATH_IMAGE031
A detection rate of (2), wherein
Figure 671460DEST_PATH_IMAGE032
。
S43, generating an actual acceptance value of the area detection cluster according to the acceptance value of the network unit, judging whether the actual acceptance value of the area detection cluster reaches a preset acceptance value, if not, jumping to S44, otherwise, jumping to S5;
optionally, the actual value of the receptivity of the area detection cluster is generated according to the receptivity value of the network element as follows:
Figure 374974DEST_PATH_IMAGE033
wherein
Figure 61170DEST_PATH_IMAGE034
An actual value of the acceptance of the cluster is detected for the area. For example, if the actual value of the receptivity is 0.84 and the preset value of the receptivity is 0.95, the preset value of the receptivity is not reached.
S44, reconfiguring the number of the master detection device and the slave detection device in the grid unit, jumping to and executing the steps S42 and the following steps; the higher the number of master and slave detection devices, the higher the acceptance value of the corresponding grid cell.
S45, go to step S5.
By implementing the steps, the number and the placement area positions of the detection equipment can be reasonably planned, the defects that the accuracy of the detected data is different due to different manufacturers and production batches of different detection equipment, the detected data cannot be accurately applied to risk assessment of emergency and formulation of treatment schemes are overcome, and the accuracy and the reliability of the whole detection data can be ensured.
Optionally, the number and/or types of the master detection devices and the slave detection devices in the grid unit are reconfigured (different detection devices, or detection rates of different batches of detection devices may be different) to flexibly enable the acceptance value of the grid unit to meet the requirement, so that some detection devices with low detection rates can achieve a good effect, and the overall detection accuracy is not affected.
The step S6 includes:
s61, the server analyzes the attribute of the biochemical substance to be detected and the unique identification code of the detection equipment from the detection result, and matches the analyzed unique identification code of the detection equipment with the unique identification code of the detection equipment in the identification information prestored in the server to obtain the IP address information of the detection equipment;
and S62, integrating the IP address information and the attribute of the biochemical substance to be detected by the server, and generating analysis result heat point maps of different region display areas according to the integration result.
Compared with the prior art, the automatic data result display method based on the detection equipment has the following advantages that: by carrying out the reliability self-check of the detection equipment and the detection acceptance check of the area detection cluster before the formal detection of the detection equipment, when the detection acceptance reaches the preset value, the area detection cluster is used for detecting the biochemical substances to be detected, thereby overcoming the defects that the accuracy of detected data is different due to different manufacturers and production batches of different detection equipment, the detected data can not be accurately applied to the risk assessment of emergency and the defect of treatment scheme formulation, the accuracy and the reliability of the whole detected data can be ensured, and the analysis result hot spot diagrams of different region display areas can be generated according to the integration result, so that the detection results of different regions can be automatically displayed, the statistics and analysis time of the detection results is greatly reduced, and high-risk regions, medium-risk regions and the like can be automatically generated.
It is understood that various other changes and modifications may be made by those skilled in the art based on the technical idea of the present invention, and all such changes and modifications should fall within the protective scope of the claims of the present invention.

Claims (3)

1. A data result automatic display method based on detection equipment is characterized by comprising the following steps:
s1, configuring IP address information of the detection device accessed to the network, splicing the unique identification code and the IP address information of the detection device into identification information, and sending the identification information to the server;
s2, before formal detection is carried out on the detection equipment, carrying out reliability self-detection on the detection equipment, and jumping to the step S3 after the self-detection is passed, otherwise, ending the process;
s3, carrying out organization network division on the equipment to be detected through a preset mode to obtain an area detection cluster;
s4, checking the detection acceptance of the area detection cluster, and jumping to S5 when the detection acceptance reaches a preset value, otherwise, ending the process;
s5, detecting the biochemical substances to be detected through the area detection cluster, and sending the detection result and the unique identification code of the detection equipment to the server;
s6, the server integrates the received detection result and the unique identification code of the detection equipment according to the identification information, and generates analysis result hot spot diagrams of different region display areas according to the integration result;
the step S3 includes:
s31, the server analyzes the unique identification code and the IP address information of the detection equipment in the identification information, and divides the detection equipment into different grid cells according to the IP address field, wherein the grid cells are provided with a plurality of detection equipment;
s32, dividing the detection devices in the grid cells into a master detection device and a slave detection device;
s33, recombining the grid cells into an area detection cluster according to the serial numbers;
the step S4 includes:
s41, configuring an acceptance preset value of the area detection cluster;
s42, obtaining acceptance values of grid cells in the area detection cluster according to the self-detection result obtained in the step S2 in advance;
s43, generating an actual acceptance value of the area detection cluster according to the acceptance value of the network unit, judging whether the actual acceptance value of the area detection cluster reaches a preset acceptance value, if not, jumping to S44, otherwise, jumping to S5;
s44, reconfiguring the number of the master detection device and the slave detection device in the grid unit, jumping to and executing the steps S42 and the following steps;
s45, jumping to the step S5;
the step S2 of obtaining the acceptance value of the grid cell in the area detection cluster from the self-test result obtained includes:
in acquisition area detection cluster
Figure 205702DEST_PATH_IMAGE001
A grid cell, a grid cell
Figure 309924DEST_PATH_IMAGE002
Comprises
Figure 934940DEST_PATH_IMAGE003
The main detection device and the auxiliary detection device acquire the acceptance values of the grid units, and the acceptance values of the grid units are as follows:
Figure 466416DEST_PATH_IMAGE004
wherein
Figure 809672DEST_PATH_IMAGE005
As a grid cell
Figure 966853DEST_PATH_IMAGE006
The value of the acceptance of (a) is,
Figure 711955DEST_PATH_IMAGE007
as a grid cell
Figure 414332DEST_PATH_IMAGE008
Master or slave detection device
Figure 244885DEST_PATH_IMAGE009
A detection rate of (2), wherein
Figure 690910DEST_PATH_IMAGE010
；
In step S43, the actual value of the receptivity of the area detection cluster is generated according to the receptivity value of the network element as follows:
Figure 290518DEST_PATH_IMAGE011
wherein
Figure 898217DEST_PATH_IMAGE012
Detecting an acceptance actual value of the cluster for the area;
the detection rate is determined according to whether the fluctuation of the transverse distance of the chromatographic peak turn meets a preset fluctuation condition, wherein whether the fluctuation of the transverse distance of the chromatographic peak turn meets the preset fluctuation condition is judged according to the following formula:
Figure 465334DEST_PATH_IMAGE013
wherein n is the number of chromatographic peaks,
Figure 449470DEST_PATH_IMAGE014
，
Figure 169164DEST_PATH_IMAGE015
in order to preset the deviation value of the chromatographic peak,
Figure 213344DEST_PATH_IMAGE016
in order to obtain the peak width,
Figure 18489DEST_PATH_IMAGE017
in order to be an exponential function of the,
Figure 806316DEST_PATH_IMAGE018
is the standard deviation of the measured data to be measured,
Figure 380517DEST_PATH_IMAGE019
the retention time, i.e. the retention time of the chromatographic peak,
Figure 579286DEST_PATH_IMAGE020
is the time of occurrence of the chromatographic peak,
Figure 606148DEST_PATH_IMAGE021
is the coefficient of perturbation.
2. The method for automatically presenting data results based on a detection device according to claim 1,
the step S2 includes:
before formal detection is carried out on detection equipment, self-checking is carried out according to a self-checking model by sending a standard sample, and whether a self-checking result meets a preset result or not is judged;
and when the preset result is met, judging that the detection equipment meets the reliability self-checking requirement, and jumping to the step S3, otherwise, ending the process.
3. The method for automatically presenting data results based on a detection device according to claim 1,
the step S6 includes:
s61, the server analyzes the attribute of the biochemical substance to be detected and the unique identification code of the detection equipment from the detection result, and matches the analyzed unique identification code of the detection equipment with the unique identification code of the detection equipment in the identification information prestored in the server to obtain the IP address information of the detection equipment;
and S62, integrating the IP address information and the attribute of the biochemical substance to be detected by the server, and generating analysis result heat point maps of different region display areas according to the integration result.
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