CN110553994A - method for automatically collecting and integrating dragon blood production data - Google Patents

method for automatically collecting and integrating dragon blood production data Download PDF

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Publication number
CN110553994A
CN110553994A CN201910841361.1A CN201910841361A CN110553994A CN 110553994 A CN110553994 A CN 110553994A CN 201910841361 A CN201910841361 A CN 201910841361A CN 110553994 A CN110553994 A CN 110553994A
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China
Prior art keywords
data
dragon
server
steps
integrating
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Pending
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CN201910841361.1A
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Chinese (zh)
Inventor
朱光荣
江立
孙成逊
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Yunnan Datang Chinese Pharmaceutical Ltd By Share Ltd
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Yunnan Datang Chinese Pharmaceutical Ltd By Share Ltd
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Priority to CN201910841361.1A priority Critical patent/CN110553994A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3554Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for determining moisture content
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/65Raman scattering

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  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

the invention discloses an automatic collection and integration method of dragon blood production data, which comprises the following steps of installing instruments, sensors, valves and detection probes on dragon blood production equipment, and transmitting process parameter data and quality parameter data of the dragon blood production process to a data collection server; the method comprises the steps that equipment information, operator information and workshop section information are transmitted to a data acquisition server through a human-computer interaction interface and then transmitted to a data cache server, the data cache server transmits stored data to a storage server, and the storage server stores the data in a classified mode and backups the data to a backup storage server. The invention has the beneficial effects that: the automatic collection, integration and classified storage of the production data of the dragon blood production process are realized, a foundation is provided for the checking, retrieval, analysis and mining of the data, and the support is provided for the completeness and reliability of the data of the dragon blood production process.

Description

Method for automatically collecting and integrating dragon blood production data
Technical Field
The invention relates to the technical field of traditional Chinese medicines, in particular to an automatic collection and integration method of dragon blood production data.
Background
the sanguis Draxonis is prepared from resiniferous wood and bark of dracaena cochinchinensis (lour.) Merr of Liliaceae. Sanguis Draxonis has effects of promoting blood circulation, removing blood stasis, relieving pain, stopping bleeding, healing sore, and promoting granulation, and has good therapeutic effect on hemorrhagic diseases such as coronary heart disease, hemorrhage due to topical wound, blood stasis, gynecological uterine blood, upper gastrointestinal hemorrhage, hemorrhoid and epistaxis.
the dragon's blood production process comprises extraction, concentration, ethanol recovery and other working sections, and the related equipment is various, equipment brands are various, the automation degree of the equipment is different, and the types and sources of data generated in the production process are various. Therefore, in order to collect the production data of the dragon blood in a unified manner, an automatic collection and integration method of the production data of the dragon blood needs to be developed, the integration of the production data is realized, and data support is provided for supervision and decision making.
Disclosure of Invention
The invention aims to overcome the technical defects and provides an automatic collection and integration method of dragon blood production data.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that: an automatic collection and integration method for dragon blood production data comprises the following steps:
(1) installing instruments, sensors, valves and detection probes on the dragon blood production equipment;
(2) The instrument, the sensor, the valve and the detection probe transmit the process parameter data and the quality parameter data of the production process of the dragon blood to the data acquisition server;
(3) Transmitting equipment information, operator information and workshop section information to a data acquisition server through a human-computer interaction interface;
(4) The data acquisition server transmits the data acquired in real time to the data cache server, the data cache server has a multi-level cache function, the data are respectively stored in different storage hardware according to batch numbers, mutual independence among the data is realized, and the data storage speed is improved;
(5) and the data cache server transmits the stored data to the storage server, and the storage server stores the data in a classified manner and backups the data to the backup storage server.
Further, in the step (1), the instrument comprises a thermometer, a pressure gauge, a liquid level meter, a densimeter and a flowmeter, the sensor comprises a temperature sensor, a pressure sensor and a tuning fork sensor, the valve comprises a steam valve, a feed valve, a discharge valve and an exhaust valve, and the detection probe comprises a detection probe for detecting the chemical characteristics of the production process on line by using near infrared spectrum and Raman spectrum.
Furthermore, the chemical characteristics refer to indexes of moisture content, effective substance content, toxic substance content and solid content to be detected.
Further, the process parameter data in the step (2) comprises temperature, pressure, ethanol concentration, weight of added medicinal materials, weight of added solvent, time and density; the quality parameter data includes water content, effective substance content, toxic substance content, and solid content.
Further, the data acquisition server in the step (2) supports an OPC protocol, a Modbus protocol, a TCP \ UDP protocol, a power communication protocol and a custom protocol.
Further, the acquisition mode of the equipment information, the operator information and the workshop section information in the step (3) is manually input or read in through a code scanning gun identification bar.
Further, the equipment information in the step (3) comprises equipment manufacturer, model, cleaning state and disinfection state; the operator information comprises names and positions of operators; the section information includes a lot number, a start time, and an end time.
Further, the data classification storage method of the storage server in the step (3) includes classification storage according to one or more of a batch number, a workshop section and production time.
the invention has the beneficial effects that: the automatic collection, integration and classified storage of the production data of the dragon blood production process are realized, a foundation is provided for the checking, retrieval, analysis and mining of the data, and the support is provided for the completeness and reliability of the data of the dragon blood production process.
Drawings
FIG. 1 is a block diagram of an automatic data collection and integration method for sanguis Draxonis production.
Detailed Description
In order to make the content of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
an automatic collection and integration method for dragon blood production data comprises the following steps:
(1) Installing instruments, sensors, valves and detection probes on the dragon blood production equipment; the instrument comprises a thermometer, a pressure gauge, a liquid level meter, a densimeter, a flowmeter and the like; wherein the sensor comprises a temperature sensor, a pressure sensor, a tuning fork sensor and the like; wherein the valve comprises a steam valve, a feed valve, a discharge valve, an emptying valve and the like; wherein the detection probe comprises a near infrared spectrum, a Raman spectrum detection and other detection probes for detecting the chemical characteristics in the production process on line; wherein the chemical characteristics refer to indexes such as water content, effective substance content, toxic substance content, solid content and the like which need to be detected;
(2) The instrument, the sensor, the valve and the detection probe transmit the process parameter data and the quality parameter data of the production process of the dragon blood to the data acquisition server; wherein the process parameter data comprises temperature, pressure, ethanol concentration, weight of added medicinal materials, weight of added solvent, time, density, etc.; wherein the quality parameter data comprises moisture content, effective substance content, toxic substance content, solid content, etc.; the data acquisition server supports an OPC protocol, a Modbus protocol, a TCP/UDP protocol, a power communication protocol, a user-defined protocol and the like;
(3) Transmitting information such as equipment information, operator information, workshop section information and the like to a data acquisition server through a human-computer interaction interface; the acquisition mode of the information such as equipment information, operator information, workshop section information and the like can be manual input, and can be read in through a code scanning gun identification bar; wherein the equipment information includes equipment manufacturer, model, status (to be cleaned/cleaned, to be disinfected/disinfected), etc.; the operator information comprises names, positions and the like of operators; the section information comprises a batch number, starting time, ending time and the like;
(4) the data acquisition server transmits the data acquired in real time to the data cache server, the data cache server has a multi-level cache function, the data are respectively stored in different storage hardware according to batch numbers, mutual independence among the data is realized, and the data storage speed is improved;
(5) The data cache server transmits the stored data to the storage server, and the storage server stores the data in a classified manner and then backs up the data to the backup storage server; the data classification storage method of the storage server comprises classification storage according to batch numbers, working sections, production time and the like.
the present invention and the embodiments thereof have been described above, but the description is not limited to the embodiments, but only one of the embodiments of the present invention, and the actual embodiments are not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (8)

1. A method for automatically collecting and integrating dragon blood production data is characterized by comprising the following steps: the method comprises the following steps:
(1) Installing instruments, sensors, valves and detection probes on the dragon blood production equipment;
(2) The instrument, the sensor, the valve and the detection probe transmit the process parameter data and the quality parameter data of the production process of the dragon blood to the data acquisition server;
(3) Transmitting equipment information, operator information and workshop section information to a data acquisition server through a human-computer interaction interface;
(4) The data acquisition server transmits the data acquired in real time to the data cache server, the data cache server has a multi-level cache function, the data are respectively stored in different storage hardware according to batch numbers, mutual independence among the data is realized, and the data storage speed is improved;
(5) And the data cache server transmits the stored data to the storage server, and the storage server stores the data in a classified manner and backups the data to the backup storage server.
2. The method for automatically collecting and integrating dragon's blood production data according to claim 1, wherein the method comprises the following steps: the instrument in the step (1) comprises a thermometer, a pressure gauge, a liquid level meter, a densimeter and a flowmeter, the sensor comprises a temperature sensor, a pressure sensor and a tuning fork sensor, the valve comprises a steam valve, a feed valve, a discharge valve and an exhaust valve, and the detection probe comprises a detection probe for detecting the chemical characteristics in the production process on line by near infrared spectroscopy and Raman spectroscopy.
3. the method for automatically collecting and integrating dragon's blood production data according to claim 2, wherein the method comprises the following steps: the chemical characteristics refer to the indexes of water content, effective substance content, toxic substance content and solid content to be detected.
4. The method for automatically collecting and integrating dragon's blood production data according to claim 1, wherein the method comprises the following steps: the process parameter data in the step (2) comprise temperature, pressure, ethanol concentration, weight of added medicinal materials, weight of added solvent, time and density; the quality parameter data includes water content, effective substance content, toxic substance content, and solid content.
5. The method for automatically collecting and integrating dragon's blood production data according to claim 1, wherein the method comprises the following steps: and (3) the data acquisition server in the step (2) supports an OPC protocol, a Modbus protocol, a TCP \ UDP protocol, a power communication protocol and a custom protocol.
6. the method for automatically collecting and integrating dragon's blood production data according to claim 1, wherein the method comprises the following steps: and (4) acquiring the equipment information, the operator information and the workshop section information in the step (3) by manual input or reading through a code scanning gun identification bar.
7. the method for automatically collecting and integrating dragon's blood production data according to claim 1, wherein the method comprises the following steps: the equipment information in the step (3) comprises equipment manufacturer, model, cleaning state and disinfection state; the operator information comprises names and positions of operators; the section information includes a lot number, a start time, and an end time.
8. The method for automatically collecting and integrating dragon's blood production data according to claim 1, wherein the method comprises the following steps: and (4) the data classified storage method of the storage server in the step (3) comprises classified storage according to one or more modes of batch numbers, working sections and production time.
CN201910841361.1A 2019-09-06 2019-09-06 method for automatically collecting and integrating dragon blood production data Pending CN110553994A (en)

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Application Number Priority Date Filing Date Title
CN201910841361.1A CN110553994A (en) 2019-09-06 2019-09-06 method for automatically collecting and integrating dragon blood production data

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CN201910841361.1A CN110553994A (en) 2019-09-06 2019-09-06 method for automatically collecting and integrating dragon blood production data

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103268534A (en) * 2013-05-29 2013-08-28 南京海源中药饮片有限公司 Production integration decision support system and method for traditional Chinese medicine decoction piece enterprise
CN105897883A (en) * 2016-04-07 2016-08-24 浙江大学苏州工业技术研究院 Processing method of traditional Chinese medicine production data
CN109104468A (en) * 2018-07-25 2018-12-28 河南太龙药业股份有限公司 A kind of Chinese materia medica preparation production process data acquisition system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103268534A (en) * 2013-05-29 2013-08-28 南京海源中药饮片有限公司 Production integration decision support system and method for traditional Chinese medicine decoction piece enterprise
CN105897883A (en) * 2016-04-07 2016-08-24 浙江大学苏州工业技术研究院 Processing method of traditional Chinese medicine production data
CN109104468A (en) * 2018-07-25 2018-12-28 河南太龙药业股份有限公司 A kind of Chinese materia medica preparation production process data acquisition system

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Application publication date: 20191210

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