CN111474294A - Ralstonia solanacearum solution titration system - Google Patents
Ralstonia solanacearum solution titration system Download PDFInfo
- Publication number
- CN111474294A CN111474294A CN202010347552.5A CN202010347552A CN111474294A CN 111474294 A CN111474294 A CN 111474294A CN 202010347552 A CN202010347552 A CN 202010347552A CN 111474294 A CN111474294 A CN 111474294A
- Authority
- CN
- China
- Prior art keywords
- titration
- information
- solution
- rate
- solution absorption
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N31/00—Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroup; Apparatus specially adapted for such methods
- G01N31/16—Investigating or analysing non-biological materials by the use of the chemical methods specified in the subgroup; Apparatus specially adapted for such methods using titration
Abstract
The invention discloses a ralstonia solanacearum solution titration system, which comprises: obtaining a titration signal to obtain titration information, and establishing an initial titration rate curve according to the titration information; carrying out solution titration according to the titration information, detecting a solution absorption signal on the test strip at the same time, obtaining solution absorption information, and establishing a solution absorption rate curve; acquiring corrected titration information according to the solution absorption information and the solution absorption rate curve; the titration rate is corrected according to the corrected titration information, according to the titration information of the real-time monitoring solution, the advance prejudgment can be carried out through the corrected processing information, the hysteresis of the system is reduced, discrete distribution nodes are established in the process of determining the corrected information, and drift nodes are removed by utilizing a trend removing algorithm; extracting curve space state parameters and establishing a database; solution absorption information is extracted through data indexes, corresponding correction titration information is obtained, and the analysis speed is high through the analysis mode.
Description
Technical Field
The invention relates to the technical field of solution titration, in particular to a ralstonia solanacearum solution titration system.
Background
The tobacco bacterial wilt is a vascular bundle disease caused by Laurella of the Solanaceae, the early-stage naked eyes are difficult to detect, once the tobacco has a wilting symptom, the drug control has no effect, the detection of tobacco roots with bacteria and without diseases is enhanced, the advanced control is key, the research shows that the disease rate of tobacco plants is increased along with the increase of the quantity of ralstonia solanacearum in tobacco roots and leaves, the kit is a novel germ detection product based on a monoclonal antibody and a time-resolved fluorescence technology, the operation is quick and simple, and the early detection and the accurate treatment are realized by detecting the quantity of ralstonia solanacearum in tobacco, weed roots and leaves.
In order to realize accurate control to ralstonia solanacearum solution titration rate, a section needs to be developed to control rather than assorted system, carry out accurate control to ralstonia solanacearum solution through this system, through solution absorption information, titrate the correction and handle for ralstonia solanacearum solution realizes accurate titration, but in carrying out the control process, how to realize accurate control, and how to realize data transmission's rapidity all is the problem that can not wait to solve urgently.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a titration system for ralstonia solanacearum solution.
In order to achieve the purpose, the invention adopts the technical scheme that: a method for titrating a ralstonia solanacearum solution comprises the following steps:
obtaining a titration signal to obtain titration information, and establishing an initial titration rate curve according to the titration information;
carrying out solution titration according to the titration information, detecting a solution absorption signal on the test strip at the same time, obtaining solution absorption information, and establishing a solution absorption rate curve;
acquiring corrected titration information according to the solution absorption information and the solution absorption rate curve;
and correcting the titration rate according to the corrected titration information.
In a preferred embodiment of the invention, a titration signal is obtained to obtain titration information, and an initial titration rate curve is established according to the titration information; the method specifically comprises the following steps:
obtaining a titration signal, simultaneously obtaining test solution channel information, and establishing a titration mathematical model;
obtaining initial titration information according to a titration mathematical model;
analyzing initial titration information to obtain an initial titration rate;
a titration rate curve is established based on the initial titration rate.
In a preferred embodiment of the invention, solution titration is carried out according to titration information, and meanwhile, a solution absorption signal on the test strip is detected to obtain solution absorption information and establish a solution absorption rate curve; the method specifically comprises the following steps:
detecting the test strip characteristics, acquiring test strip absorption characteristics, and establishing a test strip absorption information database;
screening database information, and eliminating data dead pixels and deviation data;
extracting effective information of a database, and analyzing to obtain solution absorption information;
establishing an information model according to the solution absorption information;
and analyzing the information model to obtain a solution absorption rate curve.
In a preferred embodiment of the present invention, the modified titration information is obtained according to the solution absorption information and the solution absorption rate curve; the method specifically comprises the following steps:
according to the solution absorption rate curve, performing curve segmentation extraction to obtain extraction information;
establishing discrete distribution nodes according to the extracted information, and removing drift nodes by using a trend removing algorithm;
extracting curve space state parameters and establishing a database;
and extracting solution absorption information through data indexes to obtain corresponding modified titration information.
In a preferred embodiment of the invention, the titration rate is corrected according to the corrected titration information; the method specifically comprises the following steps:
obtaining initial titration information according to a titration mathematical model;
extracting solution absorption information through data indexes to obtain corresponding modified titration information;
obtaining titration deviation information by correcting titration information to obtain a titration deviation rate;
judging whether the titration deviation rate is greater than a preset deviation rate threshold value or not;
and if the deviation ratio is larger than the preset deviation ratio threshold value, carrying out reverse correction adjustment for correcting the titration information.
The invention provides a titration system for a ralstonia solanacearum solution in a second aspect, which is characterized by comprising: the titration method program of the ralstonia solanacearum solution is executed by the processor to realize the following steps:
obtaining a titration signal to obtain titration information, and establishing an initial titration rate curve according to the titration information;
carrying out solution titration according to the titration information, detecting a solution absorption signal on the test strip at the same time, obtaining solution absorption information, and establishing a solution absorption rate curve;
acquiring corrected titration information according to the solution absorption information and the solution absorption rate curve;
and correcting the titration rate according to the corrected titration information.
In a preferred embodiment of the invention, solution titration is carried out according to titration information, and meanwhile, a solution absorption signal on the test strip is detected to obtain solution absorption information and establish a solution absorption rate curve; the method specifically comprises the following steps:
detecting the test strip characteristics, acquiring test strip absorption characteristics, and establishing a test strip absorption information database;
screening database information, and eliminating data dead pixels and deviation data;
extracting effective information of a database, and analyzing to obtain solution absorption information;
establishing an information model according to the solution absorption information;
and analyzing the information model to obtain a solution absorption rate curve.
In a preferred embodiment of the invention, the titration rate is corrected according to the corrected titration information; the method specifically comprises the following steps:
obtaining initial titration information according to a titration mathematical model;
extracting solution absorption information through data indexes to obtain corresponding modified titration information;
obtaining titration deviation information by correcting titration information to obtain a titration deviation rate;
judging whether the titration deviation rate is greater than a preset deviation rate threshold value or not;
and if the deviation ratio is larger than the preset deviation ratio threshold value, carrying out reverse correction adjustment for correcting the titration information.
In a preferred embodiment of the invention, the model can be based on big data operation, can be a cluster analysis model, and classifies data with similar characteristics into one class, then performs independent operation on the data in each class, and finally performs integrated processing on the data in each class.
In a preferred embodiment of the present invention, the titration data in the database is subjected to data operation, and during the operation, the titration deviation rate is analyzed, and when the titration deviation rate is greater than a preset threshold, the model parameters are adjusted until the titration deviation rate is less than a predetermined threshold.
The invention solves the defects in the background technology, and has the following beneficial effects:
1. the test strip absorption characteristics are obtained by detecting the test strip characteristics, and a test strip absorption information database is established; screening database information, rejecting data dead pixels and deviation data, extracting effective information of the database, and obtaining a solution absorption rate curve.
2. Synchronous error correction is carried out on the titration rate through the correction matrix, zero drift is removed, and the system response is fast.
3. According to the real-time monitoring solution titration information, the advance prejudgment can be carried out through the correction processing information, the hysteresis of the system is reduced, discrete distribution nodes are established in the process of determining the correction information, and drift nodes are removed by utilizing a trend removing algorithm; extracting curve space state parameters and establishing a database; solution absorption information is extracted through data indexes, corresponding correction titration information is obtained, and the analysis speed is high through the analysis mode.
Drawings
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
FIG. 1 is a block diagram of the titration method of Ralstonia solanacearum solution of the present invention.
FIG. 2 is a flow chart of the method for obtaining the titration rate curve of Ralstonia solanacearum of the present invention.
FIG. 3 is a flow chart of a solution absorption rate curve acquisition method of the present invention.
FIG. 4 is a flow chart of a titration rate correction method of the present invention.
FIG. 5 is a block diagram of a Ralstonia solanacearum solution titration system of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
As shown in FIG. 1, the invention discloses a block diagram of a titration method of a Ralstonia solanacearum solution.
S102, obtaining a titration signal to obtain titration information, and establishing an initial titration rate curve according to the titration information;
s104, carrying out solution titration according to the titration information, detecting a solution absorption signal on the test strip at the same time, obtaining solution absorption information, and establishing a solution absorption rate curve;
s106, performing curve segmentation and extraction according to the solution absorption rate curve to obtain extraction information;
s108, establishing discrete distribution nodes according to the extracted information, and removing drift nodes by using a trend removing algorithm;
s110, extracting curve space state parameters, establishing a database, and uploading data to a cloud server;
s112, extracting solution absorption information through data index to obtain corresponding corrected titration information,
and S114, correcting the titration rate according to the corrected titration information.
As shown in FIG. 2, the invention discloses a flow chart of a method for obtaining a titration rate curve of Ralstonia solanacearum.
According to the embodiment of the invention, a titration signal is obtained to obtain titration information, and an initial titration rate curve is established according to the titration information; the method specifically comprises the following steps:
s202, obtaining a titration signal, simultaneously obtaining test solution channel information, and establishing a titration mathematical model;
s204, obtaining initial titration information according to the titration mathematical model;
s206, analyzing the initial titration information to obtain an initial titration rate;
and S208, establishing a titration rate curve according to the initial titration rate.
As shown in fig. 3, the present invention discloses a flow chart of a solution absorption rate curve obtaining method.
According to the embodiment of the invention, the solution titration is carried out according to the titration information, and meanwhile, the solution absorption signal on the test strip is detected to obtain the solution absorption information and establish a solution absorption rate curve; the method specifically comprises the following steps:
s302, detecting test strip characteristics, acquiring test strip absorption characteristics, and establishing a test strip absorption information database;
s304, screening database information, and eliminating data dead pixels and deviation data;
s306, extracting effective information of the database, and analyzing to obtain solution absorption information;
s308, establishing an information model according to the solution absorption information;
and S310, analyzing the information model to obtain a solution absorption rate curve.
As shown in FIG. 4, the invention discloses a flow chart of a titration rate correction method for a Ralstonia solanacearum solution.
According to the embodiment of the invention, the titration rate is corrected according to the corrected titration information; the method specifically comprises the following steps:
s402, obtaining initial titration information according to the titration mathematical model;
s404, extracting solution absorption information through data indexes to obtain corresponding modified titration information;
s406, obtaining titration deviation information by correcting titration information to obtain a titration deviation rate;
s408, judging whether the titration deviation rate is larger than a preset deviation rate threshold value;
and S410, if the deviation ratio is larger than a preset deviation ratio threshold value, carrying out reverse correction adjustment for correcting titration information.
As shown in FIG. 5, the present invention discloses a block diagram of a titration system for Ralstonia solanacearum solution
According to the embodiment of the invention, the model can be based on big data operation and can be a cluster analysis model, data with similar characteristics are classified into one class, then the data in each class are independently operated, and finally the data in each class are integrated.
According to the embodiment of the invention, the titration data in the database are subjected to data operation, the titration deviation rate is analyzed in the operation process, and when the titration deviation rate is greater than a preset threshold value, the model parameters are adjusted until the titration deviation rate is less than a preset threshold value.
In a second aspect, the present invention provides a ralstonia solanacearum solution titration system 5, wherein the system 5 comprises: a memory 51 and a processor 52, wherein the memory includes a program for a titration method of a ralstonia solanacearum solution, and the program for the titration method of the ralstonia solanacearum solution implements the following steps when executed by the processor:
obtaining a titration signal to obtain titration information, and establishing an initial titration rate curve according to the titration information;
carrying out solution titration according to the titration information, detecting a solution absorption signal on the test strip at the same time, obtaining solution absorption information, and establishing a solution absorption rate curve;
acquiring corrected titration information according to the solution absorption information and the solution absorption rate curve;
and correcting the titration rate according to the corrected titration information.
According to the embodiment of the invention, the solution titration is carried out according to the titration information, and meanwhile, the solution absorption signal on the test strip is detected to obtain the solution absorption information and establish a solution absorption rate curve; the method specifically comprises the following steps:
detecting the test strip characteristics, acquiring test strip absorption characteristics, and establishing a test strip absorption information database;
screening database information, and eliminating data dead pixels and deviation data;
extracting effective information of a database, and analyzing to obtain solution absorption information;
establishing an information model according to the solution absorption information;
and analyzing the information model to obtain a solution absorption rate curve.
According to the embodiment of the invention, the titration rate is corrected according to the corrected titration information; the method specifically comprises the following steps:
obtaining initial titration information according to a titration mathematical model;
extracting solution absorption information through data indexes to obtain corresponding modified titration information;
obtaining titration deviation information by correcting titration information to obtain a titration deviation rate;
judging whether the titration deviation rate is greater than a preset deviation rate threshold value or not;
and if the deviation ratio is larger than the preset deviation ratio threshold value, carrying out reverse correction adjustment for correcting the titration information.
According to the embodiment of the invention, a titration signal is obtained to obtain titration information, and an initial titration rate curve is established according to the titration information; the method specifically comprises the following steps:
obtaining a titration signal, simultaneously obtaining test solution channel information, and establishing a titration mathematical model;
obtaining initial titration information according to a titration mathematical model;
analyzing initial titration information to obtain an initial titration rate;
a titration rate curve is established based on the initial titration rate.
It should be noted that the model can be based on big data operation, can be a cluster analysis model, and classifies data with similar characteristics into one class, then performs individual operation on the data in each class, and finally performs integration processing on the data in each class, so that the obtained data is accurate, and the operation speed is high.
According to the embodiment of the invention, the solution titration is carried out according to the titration information, and meanwhile, the solution absorption signal on the test strip is detected to obtain the solution absorption information and establish a solution absorption rate curve; the method specifically comprises the following steps:
detecting the test strip characteristics, acquiring test strip absorption characteristics, and establishing a test strip absorption information database;
screening database information, and eliminating data dead pixels and deviation data;
extracting effective information of a database, and analyzing to obtain solution absorption information;
establishing an information model according to the solution absorption information;
and analyzing the information model to obtain a solution absorption rate curve.
According to the embodiment of the invention, the modified titration information is obtained according to the solution absorption information and the solution absorption rate curve; the method specifically comprises the following steps:
according to the solution absorption rate curve, performing curve segmentation extraction to obtain extraction information;
establishing discrete distribution nodes according to the extracted information, and removing drift nodes by using a trend removing algorithm;
extracting curve space state parameters and establishing a database;
and extracting solution absorption information through data indexes to obtain corresponding modified titration information.
It should be noted that, by detecting the test strip characteristics, the test strip absorption characteristics are obtained, and a test strip absorption information database is established; screening database information, rejecting data dead pixels and deviation data, extracting effective information of the database, and obtaining a solution absorption rate curve.
Synchronous error correction is carried out on the titration rate through the correction matrix, zero drift is removed, and the system response is fast.
It should be noted that, the values with large errors can be eliminated in the correction process, a smooth curve is formed after elimination, and the errors in the measurement process are small.
The model can be based on big data operation and can be a cluster analysis model, data with similar characteristics are classified into one class, then the data in each class are independently operated, and finally the data in each class are integrated.
According to the embodiment of the invention, the titration data in the database are subjected to data operation, the titration deviation rate is analyzed in the operation process, and when the titration deviation rate is greater than a preset threshold value, the model parameters are adjusted until the titration deviation rate is less than a preset threshold value.
According to the real-time monitoring solution titration information, the advance prejudgment can be carried out through the correction processing information, the hysteresis of the system is reduced, discrete distribution nodes are established in the process of determining the correction information, and drift nodes are removed by utilizing a trend removing algorithm; extracting curve space state parameters and establishing a database; solution absorption information is extracted through data indexes, corresponding correction titration information is obtained, and the analysis speed is high through the analysis mode.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (9)
1. A titration method of ralstonia solanacearum solution is characterized by comprising the following steps:
obtaining a titration signal to obtain titration information, and establishing an initial titration rate curve according to the titration information;
carrying out solution titration according to the titration information, detecting a solution absorption signal on the test strip at the same time, obtaining solution absorption information, and establishing a solution absorption rate curve;
according to the solution absorption rate curve, performing curve segmentation extraction to obtain extraction information;
establishing discrete distribution nodes according to the extracted information, and removing drift nodes by using a trend removing algorithm;
extracting curve space state parameters, establishing a database, and uploading data to a cloud server;
extracting solution absorption information through data index to obtain corresponding modified titration information,
and correcting the titration rate according to the corrected titration information.
2. The titration method for ralstonia solanacearum solution according to claim 1, wherein a titration signal is obtained to obtain titration information, and an initial titration rate curve is established according to the titration information; the method specifically comprises the following steps:
obtaining a titration signal, simultaneously obtaining test solution channel information, and establishing a titration mathematical model;
obtaining initial titration information according to a titration mathematical model;
analyzing initial titration information to obtain an initial titration rate;
a titration rate curve is established based on the initial titration rate.
3. The method for titrating a ralstonia solanacearum solution according to claim 2, wherein the titration of the solution is performed according to titration information, and simultaneously a solution absorption signal on a test strip is detected to obtain solution absorption information and establish a solution absorption rate curve; the method specifically comprises the following steps:
detecting the test strip characteristics, acquiring test strip absorption characteristics, and establishing a test strip absorption information database;
screening database information, and eliminating data dead pixels and deviation data;
extracting effective information of a database, and analyzing to obtain solution absorption information;
establishing an information model according to the solution absorption information;
and analyzing the information model to obtain a solution absorption rate curve.
4. The titration method according to claim 1, wherein the titration rate is corrected according to the corrected titration information; the method specifically comprises the following steps:
obtaining initial titration information according to a titration mathematical model;
extracting solution absorption information through data indexes to obtain corresponding modified titration information;
obtaining titration deviation information by correcting titration information to obtain a titration deviation rate;
judging whether the titration deviation rate is greater than a preset deviation rate threshold value or not;
and if the deviation ratio is larger than the preset deviation ratio threshold value, carrying out reverse correction adjustment for correcting the titration information.
5. A ralstonia solanacearum solution titration system, the system comprising: the titration method program of the ralstonia solanacearum solution is executed by the processor to realize the following steps:
obtaining a titration signal to obtain titration information, and establishing an initial titration rate curve according to the titration information;
carrying out solution titration according to the titration information, detecting a solution absorption signal on the test strip at the same time, obtaining solution absorption information, and establishing a solution absorption rate curve;
acquiring corrected titration information according to the solution absorption information and the solution absorption rate curve;
and correcting the titration rate according to the corrected titration information.
6. The titration system according to claim 5, wherein the titration of the solution is performed according to the titration information, and the absorption signal of the solution on the test strip is detected to obtain the absorption information of the solution and establish a solution absorption rate curve; the method specifically comprises the following steps:
detecting the test strip characteristics, acquiring test strip absorption characteristics, and establishing a test strip absorption information database;
screening database information, and eliminating data dead pixels and deviation data;
extracting effective information of a database, and analyzing to obtain solution absorption information;
establishing an information model according to the solution absorption information;
and analyzing the information model to obtain a solution absorption rate curve.
7. The titration system according to claim 6, wherein the titration rate is modified according to the modified titration information; the method specifically comprises the following steps:
obtaining initial titration information according to a titration mathematical model;
extracting solution absorption information through data indexes to obtain corresponding modified titration information;
obtaining titration deviation information by correcting titration information to obtain a titration deviation rate;
judging whether the titration deviation rate is greater than a preset deviation rate threshold value or not;
and if the deviation ratio is larger than the preset deviation ratio threshold value, carrying out reverse correction adjustment for correcting the titration information.
8. The titration system according to claim 6, wherein the model is a cluster analysis model based on big data operation, and the data with similar characteristics are classified into one class, and then the data in each class are individually operated, and finally the data in each class are integrated.
9. The titration system according to claim 8, wherein the titration data in the database is subjected to data operation, the titration deviation rate is analyzed during the operation, and when the titration deviation rate is larger than a predetermined threshold, the model parameters are adjusted until the titration deviation rate is smaller than the predetermined threshold.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010347552.5A CN111474294B (en) | 2020-04-28 | 2020-04-28 | Ralstonia solanacearum solution titration system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010347552.5A CN111474294B (en) | 2020-04-28 | 2020-04-28 | Ralstonia solanacearum solution titration system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111474294A true CN111474294A (en) | 2020-07-31 |
| CN111474294B CN111474294B (en) | 2023-04-07 |
Family
ID=71762953
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010347552.5A Active CN111474294B (en) | 2020-04-28 | 2020-04-28 | Ralstonia solanacearum solution titration system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111474294B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6321557A (en) * | 1986-07-15 | 1988-01-29 | Omron Tateisi Electronics Co | Biochemical measuring apparatus |
| JP2010071828A (en) * | 2008-09-19 | 2010-04-02 | Fujifilm Corp | Method for detecting substance to be examined |
| CN101949877A (en) * | 2010-09-08 | 2011-01-19 | 西北农林科技大学 | Method for measuring edible oleic acid value based on conductivity |
| CN102741423A (en) * | 2009-10-23 | 2012-10-17 | 雅培制药有限公司 | Dual variable domain immunoglobulins and uses thereof |
| US20150055130A1 (en) * | 2009-06-02 | 2015-02-26 | National Research Council Of Canada | Multilayered Tissue Phantoms, Fabrication Methods, and Use |
| CN104535710A (en) * | 2015-01-07 | 2015-04-22 | 中证检测科技（天津）有限公司 | Food detection device |
| CN106908599A (en) * | 2017-02-21 | 2017-06-30 | 南昌大学 | The immuno-chromatographic test paper strip of ochratoxin A in detection grape wine and grape juice |
| CN107267593A (en) * | 2017-05-25 | 2017-10-20 | 嘉兴学院 | The Physcion antibacterial and anti-oxidant experimental method extracted in the purple mushroom of Helan Mountain |
| CN107573361A (en) * | 2017-09-05 | 2018-01-12 | 西北师范大学 | A kind of mercury ion fluorescent sensor molecule and its synthesis and application |
| CN109342408A (en) * | 2018-10-08 | 2019-02-15 | 辽宁科技大学 | Method and system are intelligently titrated based on the industrial chemistry that image color information extracts |
| CN110632247A (en) * | 2019-08-29 | 2019-12-31 | 王飞 | Data processing method for multidimensional titration analysis and application thereof |
-
2020
- 2020-04-28 CN CN202010347552.5A patent/CN111474294B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6321557A (en) * | 1986-07-15 | 1988-01-29 | Omron Tateisi Electronics Co | Biochemical measuring apparatus |
| JP2010071828A (en) * | 2008-09-19 | 2010-04-02 | Fujifilm Corp | Method for detecting substance to be examined |
| US20150055130A1 (en) * | 2009-06-02 | 2015-02-26 | National Research Council Of Canada | Multilayered Tissue Phantoms, Fabrication Methods, and Use |
| CN102741423A (en) * | 2009-10-23 | 2012-10-17 | 雅培制药有限公司 | Dual variable domain immunoglobulins and uses thereof |
| CN101949877A (en) * | 2010-09-08 | 2011-01-19 | 西北农林科技大学 | Method for measuring edible oleic acid value based on conductivity |
| CN104535710A (en) * | 2015-01-07 | 2015-04-22 | 中证检测科技（天津）有限公司 | Food detection device |
| CN106908599A (en) * | 2017-02-21 | 2017-06-30 | 南昌大学 | The immuno-chromatographic test paper strip of ochratoxin A in detection grape wine and grape juice |
| CN107267593A (en) * | 2017-05-25 | 2017-10-20 | 嘉兴学院 | The Physcion antibacterial and anti-oxidant experimental method extracted in the purple mushroom of Helan Mountain |
| CN107573361A (en) * | 2017-09-05 | 2018-01-12 | 西北师范大学 | A kind of mercury ion fluorescent sensor molecule and its synthesis and application |
| CN109342408A (en) * | 2018-10-08 | 2019-02-15 | 辽宁科技大学 | Method and system are intelligently titrated based on the industrial chemistry that image color information extracts |
| CN110632247A (en) * | 2019-08-29 | 2019-12-31 | 王飞 | Data processing method for multidimensional titration analysis and application thereof |
Non-Patent Citations (4)
| Title |
|---|
| QUAN LONGZHE 等: "Aerodynamics modeling and validation on liquid medicine spraying of target weeding robot", 《TRANSACTIONS OF THE CHINESE SOCEITY OF AGRICULTURAL ENGINEERING》 * |
| 李小新 等: "在线干血斑结合2D-LC技术剪力微量血浆中万古霉素测定方法", 《中南药学》 * |
| 桑宏庆 等: "辛硫酸试纸的制备及其在金银花检测中的应用", 《分析试验室》 * |
| 欧阳彬: "快速血糖仪与全自动生化分析仪监测血糖结果对比分析", 《现代医院》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111474294B (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107391900B (en) | Atrial fibrillation detection method, classification model training method and terminal equipment | |
| CN110455722A (en) | Rubber tree blade phosphorus content EO-1 hyperion inversion method and system | |
| CN112857669B (en) | Fault detection method, device and equipment of pressure sensor and storage medium | |
| CN111914936B (en) | Data characteristic enhancement method and device for corpus data and computer equipment | |
| CN113053535B (en) | Medical information prediction system and medical information prediction method | |
| JP2005513841A5 (en) | ||
| CN115691722B (en) | Quality control method, device, equipment, medium and program product for medical data detection | |
| CN111488012B (en) | Tobacco germ solution temperature control method and system | |
| Lesaffre et al. | Objective determination of snow-grain characteristics from images | |
| CN111474294B (en) | Ralstonia solanacearum solution titration system | |
| CN110008949A (en) | A kind of image object detection method, system, device and storage medium | |
| CN111444833B (en) | Fruit actual measurement production method, device, computer equipment and storage medium | |
| CN111474293B (en) | Method and system for determining bacterial wilt solution | |
| CN116579842B (en) | Credit data analysis method and system based on user behavior data | |
| CN112991343A (en) | Method, device and equipment for identifying and detecting macular region of fundus image | |
| CN112383829B (en) | Experience quality evaluation method and device | |
| JP2013528287A (en) | Method, computer program and system for analyzing mass spectra | |
| CN113822160B (en) | Evaluation method, system and equipment of depth counterfeiting detection model | |
| CN114972950A (en) | Multi-target detection method, device, equipment, medium and product | |
| CN111474155A (en) | Ralstonia solanacearum solution guiding device | |
| CN114067169A (en) | Raman spectrum analysis method based on convolutional neural network | |
| Wójcik et al. | Deep learning assisted distinguishing of honey seasonal changes using quadruple voltammetric electrodes | |
| CN106452947A (en) | Method for optical fiber security large data storage | |
| CN114332860A (en) | Natural interaction condition event related electroencephalogram marking method, device, medium and equipment | |
| CN114509390A (en) | Soil organic matter prediction method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230316 Address after: 528000 room 509, 82 Longbao West Road, Chancheng District, Foshan City, Guangdong Province Applicant after: Guangdong Bochuang Jiahe Technology Co.,Ltd. Applicant after: Guangdong Jinghe Jiye Technology Service Co.,Ltd. Address before: 528000 room 509, 82 Longbao West Road, Chancheng District, Foshan City, Guangdong Province Applicant before: Guangdong Bochuang Jiahe Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |