CN115097070A - Intelligent integrated management system and method for laboratory - Google Patents
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Abstract
The invention discloses an intelligent integrated management system and method for a laboratory. The intelligent integrated management system for the laboratory comprises an experimental data acquisition module, an environmental data acquisition module and a data summarizing and processing module; the experimental data acquisition module is used for acquiring experimental data of a laboratory and transmitting the experimental data to the data summarizing and processing module; the environmental data acquisition module is used for acquiring environmental data of the laboratory and transmitting the environmental data to the data summarizing and processing module; and the data summarizing and processing module is used for respectively carrying out abnormity monitoring on the experimental data and the environmental data and selecting whether to output abnormity early warning information according to an abnormity monitoring result of the experimental data or the environmental data. The invention can take the environmental influence of the laboratory into consideration, carry out comprehensive integrated management on the laboratory and is beneficial to ensuring the safety and the normative of the laboratory experiment operation.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent integrated management system and method for a laboratory.
Background
With the gradual increase of the importance of scientific and technological innovation in China, scientific research units of enterprises develop laboratories in different fields. At present, in order to standardize laboratory management, a laboratory management system is proposed, which focuses on managing laboratory data such as laboratory equipment data, experimental process data, and experimental record data.
The laboratory environment is often complex and requires close management to ensure safety of personnel and the interior of the laboratory. The prior laboratory management system can not carry out all-sided integrated management on the laboratory, is difficult to realize real-time monitoring, environment deployment, personnel allocation and other multi-sided management on the laboratory, and limits the safety and the normalization of laboratory experiment operation to a certain extent.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides the intelligent integrated management system and method for the laboratory, which can consider the environmental influence of the laboratory, carry out all-around integrated management on the laboratory and are beneficial to ensuring the safety and the normative of the laboratory experiment operation.
In order to solve the above technical problems, in a first aspect, an embodiment of the present invention provides an intelligent integrated management system for a laboratory, including an experimental data acquisition module, an environmental data acquisition module, and a data summarization processing module;
the experimental data acquisition module is used for acquiring experimental data of a laboratory and transmitting the experimental data to the data summarizing and processing module;
the environmental data acquisition module is used for acquiring environmental data of the laboratory and transmitting the environmental data to the data summarizing and processing module;
and the data summarizing and processing module is used for respectively carrying out abnormity monitoring on the experimental data and the environmental data and selecting whether to output abnormity early warning information according to an abnormity monitoring result of the experimental data or the environmental data.
Further, the data summarizing and processing module comprises an experimental data processing unit;
the experimental data processing unit is used for:
classifying and archiving the experimental data according to all experimental projects of the laboratory; wherein the experimental data comprises test data, equipment data and project data;
monitoring the test data according to a predefined test data qualification standard, and outputting test data abnormity early warning information when the test data is unqualified;
monitoring the equipment running state of the laboratory according to the equipment data, and outputting equipment data abnormity early warning information when the equipment running state is monitored to be abnormal;
and monitoring the task progress corresponding to the experimental project according to the project data, and outputting abnormal early warning information of the project data when the task progress is monitored to be not up to the expected task progress.
Further, the experimental data processing unit is further configured to:
and analyzing the operation information of the laboratory by integrating the test data, the equipment data and the project data so as to plan all the experimental projects according to the operation information of the laboratory.
Further, the data summarization processing module comprises an environment data processing unit;
the environment data processing unit is configured to:
monitoring temperature data according to a target temperature condition of the laboratory, and outputting abnormal early warning information of the temperature data when the temperature data is monitored not to meet the target temperature condition;
monitoring humidity data according to a target humidity condition of the laboratory, and outputting humidity data abnormity early warning information when the humidity data is monitored not to meet the target humidity condition;
monitoring noise intensity data according to a target noise intensity condition of the laboratory, and outputting abnormal early warning information of the noise intensity data when the noise intensity data is monitored not to meet the target noise intensity condition;
monitoring gas concentration data according to the concentration of the target gas in the laboratory, and outputting gas concentration data abnormity early warning information when the gas concentration data is monitored not to meet the target gas concentration condition;
wherein the environmental data includes the temperature data, the humidity data, the noise intensity data, the gas concentration data.
Furthermore, the environment data acquisition module is also connected with external camera equipment;
the camera shooting device is used for collecting image data of the laboratory and transmitting the image data to the environment data collecting module.
In a second aspect, an embodiment of the present invention provides a laboratory intelligent integrated management method, which is applicable to a laboratory intelligent integrated management system, where the laboratory intelligent integrated management system includes an experimental data acquisition module, an environmental data acquisition module, and a data summarization processing module; the intelligent integrated management method for the laboratory comprises the following steps:
acquiring laboratory experiment data through the experiment data acquisition module, and transmitting the experiment data to the data summarizing and processing module;
acquiring environmental data of the laboratory through the environmental data acquisition module, and transmitting the environmental data to the data summarizing and processing module;
and respectively carrying out anomaly monitoring on the experimental data and the environmental data through the data summarizing and processing module, and selecting whether to output anomaly early warning information according to the anomaly monitoring result of the experimental data or the environmental data.
Further, the data summarizing and processing module comprises an experimental data processing unit; the intelligent integrated management method for the laboratory further comprises the following steps:
executing, by the experimental data processing unit:
classifying and archiving the experimental data according to all experimental projects of the laboratory; wherein the experimental data comprises test data, equipment data and project data;
monitoring the test data according to a predefined test data qualification standard, and outputting test data abnormity early warning information when the test data is unqualified;
monitoring the equipment running state of the laboratory according to the equipment data, and outputting equipment data abnormity early warning information when the equipment running state is monitored to be abnormal;
and monitoring the task progress corresponding to the experimental project according to the project data, and outputting abnormal early warning information of the project data when the task progress is monitored to be not equal to the expected task progress.
Further, the intelligent integrated management method for the laboratory further comprises the following steps:
executing, by the experimental data processing unit:
and analyzing the operation information of the laboratory by integrating the test data, the equipment data and the project data so as to plan all the experimental projects according to the operation information of the laboratory.
Further, the data summarization processing module comprises an environment data processing unit; the intelligent integrated management method for the laboratory further comprises the following steps:
performing, by the environment data processing unit:
monitoring temperature data according to a target temperature condition of the laboratory, and outputting abnormal early warning information of the temperature data when the temperature data is monitored not to meet the target temperature condition;
monitoring humidity data according to a target humidity condition of the laboratory, and outputting humidity data abnormity early warning information when the humidity data is monitored not to meet the target humidity condition;
monitoring noise intensity data according to a target noise intensity condition of the laboratory, and outputting abnormal early warning information of the noise intensity data when the noise intensity data is monitored not to meet the target noise intensity condition;
monitoring gas concentration data according to the concentration of the target gas in the laboratory, and outputting gas concentration data abnormity early warning information when the gas concentration data is monitored not to meet the target gas concentration condition;
wherein the environmental data includes the temperature data, the humidity data, the noise intensity data, the gas concentration data.
Furthermore, the environment data acquisition module is also connected with external camera equipment; the intelligent integrated management method for the laboratory further comprises the following steps:
through the camera shooting equipment, image data of the laboratory are collected and transmitted to the environment data collecting module.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
by designing an intelligent integrated management system for a laboratory, the experimental data of the laboratory is collected by using an experimental data collection module, and the experimental data is transmitted to a data summarizing and processing module; the method comprises the following steps that an environmental data collection module is used for collecting environmental data of a laboratory, and the environmental data are transmitted to a data summarizing and processing module; utilize data to summarize processing module and carry out unusual monitoring to experimental data and environmental data respectively to whether the unusual early warning information of output is selected according to experimental data or environmental data's unusual monitoring result, thereby can consider the environmental impact in laboratory, carry out the integration management of full aspect to the laboratory, be favorable to guaranteeing the security and the standardization of laboratory experiment operation.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent integrated management system for a laboratory according to a first embodiment of the present invention;
fig. 2 is a schematic flow chart of a laboratory intelligent integrated management method according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, the step numbers in the text are only for convenience of explanation of the specific embodiments, and do not serve to limit the execution sequence of the steps. The method provided by the embodiment can be executed by the relevant terminal device, and the processor is taken as an example of an execution subject in the following description.
As shown in fig. 1, a first embodiment provides an intelligent integrated management system for a laboratory, which includes an experimental data acquisition module, an environmental data acquisition module, and a data summarization processing module; the experimental data acquisition module is used for acquiring experimental data of a laboratory and transmitting the experimental data to the data summarizing and processing module; the environmental data acquisition module is used for acquiring environmental data of a laboratory and transmitting the environmental data to the data summarizing and processing module; and the data summarizing processing module is used for respectively carrying out abnormity monitoring on the experimental data and the environmental data and selecting whether to output abnormity early warning information according to an abnormity monitoring result of the experimental data or the environmental data.
Exemplarily, designing an intelligent integrated management system for a laboratory, collecting laboratory experiment data by using an experiment data collection module, wherein the laboratory experiment data comprises experiment basic data, experiment scheme data, experiment task data, experiment equipment data, statistical analysis data and other experiment data generated in the experiment process, equipment data such as equipment operation data, equipment use data and equipment state data of various instruments and equipment in the laboratory, and project data such as sample management data, sample tracking data, certificate report data and task progress data related to an experiment project, and transmitting the experiment data to a data summarizing and processing module; the method comprises the steps that an environmental data collection module is used for collecting environmental data of a laboratory, wherein the environmental data comprise temperature data, humidity data, noise intensity data, gas concentration data of the laboratory, and electromagnetic, voltage and current information, and are transmitted to a data summarizing and processing module; the data summarizing processing module is used for carrying out abnormity monitoring on experimental data when the experimental data are obtained, carrying out abnormity monitoring on the environmental data when the environmental data are obtained, and selecting whether to output abnormity early warning information according to abnormity monitoring results of the experimental data or the environmental data, namely, when the abnormity monitoring results of the experimental data are abnormal conditions of experimental operation, outputting corresponding abnormity early warning information, and when the abnormity monitoring results of the environmental data are abnormal conditions of laboratory environment, outputting corresponding abnormity early warning information.
The environmental impact in laboratory can be considered to this embodiment, carries out the integration management of full aspect to the laboratory, is favorable to guaranteeing laboratory experiment operation's security and standardization.
In a preferred embodiment, the data summarization processing module comprises an experimental data processing unit; an experimental data processing unit for: classifying and archiving experimental data according to all experimental projects of a laboratory; the experimental data comprises test data, equipment data and project data; monitoring test data according to a predefined test data qualification standard, and outputting test data abnormity early warning information when the test data is unqualified; monitoring the equipment running state of a laboratory according to the equipment data, and outputting equipment data abnormity early warning information when the equipment running state is monitored to be abnormal; and monitoring the task progress of the corresponding experimental project according to the project data, and outputting abnormal early warning information of the project data when the task progress is monitored to be not up to the expected task progress.
Illustratively, the experimental data processing unit is used for classifying and archiving the experimental data according to all experimental projects of a laboratory, and classifying all the experimental data belonging to the same experimental project into the same category for archiving; monitoring test data according to a predefined test data qualification standard, specifically defining different test data qualification standards according to different experimental projects, judging whether each test data of the experimental project meets the test data qualification standard corresponding to the experimental project or not for each experimental project, if one test data does not meet the test data qualification standard, judging that the test data is unqualified, and outputting abnormal early warning information of the test data; monitoring the equipment running state of a laboratory according to equipment data, judging whether the running states of various instruments and equipment in the laboratory are abnormal or not, if the running state of one instrument and equipment is abnormal, judging that the equipment running state is abnormal, and outputting early warning information of the equipment data abnormality; and monitoring the task progress of the corresponding experiment project according to the project data, judging whether the task progress of the experiment project corresponding to the project data reaches the expected task progress of the experiment project, if not, judging that the monitored task progress does not reach the expected task progress, and outputting abnormal early warning information of the project data.
This embodiment is through utilizing the experiment data processing unit, carries out different abnormal monitoring to different experimental data, can effectively accurately monitor the experiment operation process, carries out the integration management of full aspect to the laboratory, is favorable to guaranteeing the security and the standardization of laboratory experiment operation.
In a preferred embodiment, the experimental data processing unit is further configured to: and analyzing the operation information of the laboratory by integrating the test data, the equipment data and the project data so as to plan all experimental projects according to the operation information of the laboratory.
As an example, the laboratory data processing unit is used for analyzing the operation information of the laboratory by integrating the test data, the equipment data and the project data, determining the business information according to the operation information of the laboratory, planning all the experimental projects, reasonably planning all the experimental projects of the laboratory by combining the actual operation conditions of the laboratory, performing comprehensive integrated management on the laboratory, and being beneficial to ensuring the safety and the normalization of the laboratory experiment operation.
In a preferred embodiment, the data summarization processing module comprises an environmental data processing unit; an environment data processing unit to: monitoring temperature data according to a target temperature condition of a laboratory, and outputting abnormal early warning information of the temperature data when the monitored temperature data does not meet the target temperature condition; monitoring humidity data according to a target humidity condition of a laboratory, and outputting humidity data abnormity early warning information when the humidity data is monitored to be not satisfied with the target humidity condition; monitoring noise intensity data according to a target noise intensity condition of a laboratory, and outputting abnormal early warning information of the noise intensity data when the monitored noise intensity data do not meet the target noise intensity condition; monitoring gas concentration data according to the concentration of target gas in a laboratory, and outputting abnormal early warning information of the gas concentration data when the gas concentration data is monitored not to meet the target gas concentration condition; wherein the environmental data comprises temperature data, humidity data, noise intensity data, and gas concentration data.
Illustratively, the environmental data processing unit is used for monitoring temperature data according to a target temperature condition of a laboratory, judging whether the temperature data meets the target temperature condition, such as whether the value of the temperature data is larger than a target temperature threshold value specified by a currently-performed laboratory experiment project, and outputting abnormal early warning information of the temperature data if the monitored temperature data does not meet the target temperature condition; monitoring humidity data according to a target humidity condition of a laboratory, judging whether the humidity data meets the target humidity condition, for example, whether the value of the humidity data is greater than a target humidity threshold value specified by a currently-performed experimental project of the laboratory, and if the humidity data does not meet the target humidity condition, outputting humidity data abnormity early warning information; monitoring noise intensity data according to a target noise intensity condition of a laboratory, judging whether the value of the noise intensity data is larger than a target noise intensity threshold value specified by a currently-performed experimental project of the laboratory, and outputting abnormal early warning information of the noise intensity data if the monitored noise intensity data does not meet the target noise intensity condition; monitoring gas concentration data according to the target gas concentration of a laboratory, judging whether the value of the gas concentration data is larger than a target gas concentration threshold value specified by a currently-performed experimental project of the laboratory, and outputting gas concentration data abnormity early warning information if the monitored gas concentration data is judged not to meet the target gas concentration condition.
This embodiment carries out different abnormal monitoring through utilizing environmental data processing unit to different environmental data, can effectively accurately monitor laboratory environment, carries out the integration management of full aspect to the laboratory, is favorable to guaranteeing the security and the standardization of laboratory experiment operation.
In a preferred embodiment, the environment data acquisition module is specifically configured to acquire environment data through a plurality of environment sensors or a wireless sensor network; the plurality of environment sensors comprise a temperature sensor, a humidity sensor, a noise intensity sensor and a gas concentration sensor, or the wireless sensing network comprises a temperature sensor, a humidity sensor, a noise intensity sensor and a gas concentration sensor.
In a preferred embodiment, the environment data acquisition module is further connected with an external camera device; and the camera shooting equipment is used for acquiring image data of a laboratory and transmitting the image data to the environment data acquisition module.
As an example, when designing the intelligent integrated management system for a laboratory, the environmental data acquisition module may be further connected to an external camera device, the camera device is used to acquire image data of the laboratory, the image data is transmitted to the environmental data acquisition module, and the environmental data acquisition module transmits the image data to the data summarization processing module.
The laboratory image or video information is acquired through the high-definition camera, and access to the laboratory image or video information is realized through a customized interface between the high-definition camera and the environmental data acquisition module, wherein the customized interface comprises Web Service (Web Service), OPC (Open Platform communication), Modbus (serial communication protocol) and the like. And the information access of the instrument equipment is realized through the mobile terminal. The second module can be used for realizing data pre-acquisition or customized interface transmission between systems as required.
It can be understood that the experiment data acquisition module can also be connected with external intelligent instrument equipment and a user mobile terminal, and the access of equipment information is realized through the intelligent instrument equipment, and the access of information such as experiment project information, experiment test information and the like is realized through the user mobile terminal.
Based on the same inventive concept as the first embodiment, the second embodiment provides the intelligent integrated management method for the laboratory as shown in fig. 2, which is suitable for an intelligent integrated management system for the laboratory, wherein the intelligent integrated management system for the laboratory comprises an experimental data acquisition module, an environmental data acquisition module and a data summarization processing module; the intelligent integrated management method for the laboratory comprises the following steps of S1-S3:
s1, acquiring laboratory experiment data through an experiment data acquisition module, and transmitting the experiment data to a data summarization processing module;
s2, acquiring environmental data of a laboratory through an environmental data acquisition module, and transmitting the environmental data to a data summarization processing module;
and S3, respectively carrying out anomaly monitoring on the experimental data and the environmental data through the data summarizing and processing module, and selecting whether to output anomaly early warning information according to the anomaly monitoring result of the experimental data or the environmental data.
In a preferred embodiment, the data summarization processing module comprises an experimental data processing unit; the intelligent integrated management method for the laboratory further comprises the following steps:
by the experimental data processing unit, performing:
classifying and archiving experimental data according to all experimental projects of a laboratory; the experimental data comprises test data, equipment data and project data;
monitoring test data according to a predefined test data qualification standard, and outputting test data abnormity early warning information when the test data is unqualified;
monitoring the equipment running state of a laboratory according to the equipment data, and outputting equipment data abnormity early warning information when the equipment running state is monitored to be abnormal;
and monitoring the task progress of the corresponding experimental project according to the project data, and outputting abnormal early warning information of the project data when the task progress is monitored to be not up to the expected task progress.
In a preferred embodiment, the intelligent integrated management method for the laboratory further comprises:
by the experimental data processing unit, performing:
and analyzing the operation information of the laboratory by integrating the test data, the equipment data and the project data so as to plan all experimental projects according to the operation information of the laboratory.
In a preferred embodiment, the data summarization processing module comprises an environmental data processing unit; the intelligent integrated management method for the laboratory further comprises the following steps:
by the environment data processing unit, performing:
monitoring temperature data according to target temperature conditions of a laboratory, and outputting abnormal early warning information of the temperature data when the monitored temperature data does not meet the target temperature conditions;
monitoring humidity data according to a target humidity condition of a laboratory, and outputting humidity data abnormity early warning information when the humidity data is monitored to be not satisfied with the target humidity condition;
monitoring noise intensity data according to a target noise intensity condition of a laboratory, and outputting abnormal early warning information of the noise intensity data when the monitored noise intensity data do not meet the target noise intensity condition;
monitoring gas concentration data according to the concentration of target gas in a laboratory, and outputting abnormal early warning information of the gas concentration data when the gas concentration data is monitored not to meet the target gas concentration condition;
wherein the environmental data comprises temperature data, humidity data, noise intensity data, and gas concentration data.
In a preferred embodiment, the environment data acquisition module is specifically configured to acquire the environment data through a plurality of environment sensors or a wireless sensor network; the plurality of environment sensors comprise a temperature sensor, a humidity sensor, a noise intensity sensor and a gas concentration sensor, or the wireless sensing network comprises a temperature sensor, a humidity sensor, a noise intensity sensor and a gas concentration sensor.
In a preferred embodiment, the environment data acquisition module is further connected with an external camera device; the intelligent integrated management method for the laboratory further comprises the following steps:
through camera equipment, gather the image data of laboratory, transmit image data to environmental data collection module.
In summary, the embodiment of the present invention has the following advantages:
by designing an intelligent integrated management system for a laboratory, experimental data of the laboratory are acquired by using an experimental data acquisition module and are transmitted to a data summarizing and processing module; the environmental data collection module is used for collecting environmental data of a laboratory and transmitting the environmental data to the data summarization processing module; utilize data to summarize processing module and carry out unusual monitoring to experimental data and environmental data respectively to whether the unusual early warning information of output is selected according to experimental data or environmental data's unusual monitoring result, thereby can consider the environmental impact in laboratory, carry out the integration management of full aspect to the laboratory, be favorable to guaranteeing the security and the standardization of laboratory experiment operation.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that all or part of the processes in the above embodiments may be implemented by hardware related to instructions of a computer program, where the computer program may be stored in a computer readable storage medium, and when executed, the computer program may include the processes in the above embodiments. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (10)
1. An intelligent integrated management system for a laboratory is characterized by comprising an experimental data acquisition module, an environmental data acquisition module and a data summarization processing module;
the experimental data acquisition module is used for acquiring experimental data of a laboratory and transmitting the experimental data to the data summarizing and processing module;
the environmental data acquisition module is used for acquiring environmental data of the laboratory and transmitting the environmental data to the data summarizing and processing module;
and the data summarizing and processing module is used for respectively carrying out abnormity monitoring on the experimental data and the environmental data and selecting whether to output abnormity early warning information according to an abnormity monitoring result of the experimental data or the environmental data.
2. The intelligent integrated laboratory management system according to claim 1, wherein said data summarization processing module comprises an experimental data processing unit;
the experimental data processing unit is used for:
classifying and archiving the experimental data according to all experimental projects of the laboratory; wherein the experimental data comprises test data, equipment data and project data;
monitoring the test data according to a predefined test data qualification standard, and outputting test data abnormity early warning information when the test data is unqualified;
monitoring the equipment running state of the laboratory according to the equipment data, and outputting equipment data abnormity early warning information when the equipment running state is monitored to be abnormal;
and monitoring the task progress corresponding to the experimental project according to the project data, and outputting abnormal early warning information of the project data when the task progress is monitored to be not equal to the expected task progress.
3. The intelligent integrated laboratory management system according to claim 2, wherein said experimental data processing unit is further configured to:
and analyzing the operation information of the laboratory by integrating the test data, the equipment data and the project data so as to plan all the experimental projects according to the operation information of the laboratory.
4. The intelligent integrated laboratory management system according to claim 1, wherein said data summarization processing module comprises an environmental data processing unit;
the environment data processing unit is configured to:
monitoring temperature data according to a target temperature condition of the laboratory, and outputting abnormal early warning information of the temperature data when the temperature data is monitored not to meet the target temperature condition;
monitoring humidity data according to a target humidity condition of the laboratory, and outputting humidity data abnormity early warning information when the humidity data is monitored not to meet the target humidity condition;
monitoring noise intensity data according to a target noise intensity condition of the laboratory, and outputting abnormal early warning information of the noise intensity data when the noise intensity data is monitored not to meet the target noise intensity condition;
monitoring gas concentration data according to the concentration of the target gas in the laboratory, and outputting gas concentration data abnormity early warning information when the gas concentration data is monitored not to meet the target gas concentration condition;
wherein the environmental data includes the temperature data, the humidity data, the noise intensity data, the gas concentration data.
5. The intelligent integrated laboratory management system according to claim 1, wherein the environmental data acquisition module is further connected with an external camera device;
the camera shooting device is used for collecting image data of the laboratory and transmitting the image data to the environment data collecting module.
6. An intelligent integrated management method for a laboratory is characterized by being applicable to an intelligent integrated management system for the laboratory, wherein the intelligent integrated management system for the laboratory comprises an experimental data acquisition module, an environmental data acquisition module and a data summarization processing module; the intelligent integrated management method for the laboratory comprises the following steps:
acquiring laboratory experiment data through the experiment data acquisition module, and transmitting the experiment data to the data summarizing and processing module;
acquiring environmental data of the laboratory through the environmental data acquisition module, and transmitting the environmental data to the data summarizing and processing module;
and respectively carrying out anomaly monitoring on the experimental data and the environmental data through the data summarizing and processing module, and selecting whether to output anomaly early warning information according to the anomaly monitoring result of the experimental data or the environmental data.
7. The intelligent integrated management method for the laboratory according to claim 6, wherein the data summarizing and processing module comprises an experimental data processing unit; the intelligent integrated management method for the laboratory further comprises the following steps:
executing, by the experimental data processing unit:
classifying and archiving the experimental data according to all experimental projects of the laboratory; wherein the experimental data comprises test data, equipment data and project data;
monitoring the test data according to a predefined test data qualification standard, and outputting test data abnormity early warning information when the test data is unqualified;
monitoring the equipment running state of the laboratory according to the equipment data, and outputting equipment data abnormity early warning information when the equipment running state is monitored to be abnormal;
and monitoring the task progress corresponding to the experimental project according to the project data, and outputting abnormal early warning information of the project data when the task progress is monitored to be not up to the expected task progress.
8. The intelligent integrated laboratory management method according to claim 7, further comprising:
executing, by the experimental data processing unit:
and analyzing the operation information of the laboratory by integrating the test data, the equipment data and the project data so as to plan all the experimental projects according to the operation information of the laboratory.
9. The intelligent integrated laboratory management method according to claim 6, wherein said data summarization processing module comprises an environmental data processing unit; the intelligent integrated management method for the laboratory further comprises the following steps:
performing, by the environment data processing unit:
monitoring temperature data according to a target temperature condition of the laboratory, and outputting abnormal early warning information of the temperature data when the temperature data is monitored not to meet the target temperature condition;
monitoring humidity data according to a target humidity condition of the laboratory, and outputting humidity data abnormity early warning information when the humidity data is monitored not to meet the target humidity condition;
monitoring noise intensity data according to a target noise intensity condition of the laboratory, and outputting abnormal early warning information of the noise intensity data when the noise intensity data is monitored not to meet the target noise intensity condition;
monitoring gas concentration data according to the concentration of the target gas in the laboratory, and outputting gas concentration data abnormity early warning information when the gas concentration data is monitored not to meet the target gas concentration condition;
wherein the environmental data includes the temperature data, the humidity data, the noise intensity data, the gas concentration data.
10. The intelligent integrated management method for the laboratory according to claim 6, wherein the environmental data acquisition module is further connected with an external camera device; the intelligent integrated management method for the laboratory further comprises the following steps:
through the camera shooting equipment, image data of the laboratory are collected and transmitted to the environment data collecting module.
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