CN113793019B - Intelligent monitoring method and system for waste liquid discharge in laboratory - Google Patents
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Abstract
The invention discloses an intelligent monitoring method and system for laboratory waste liquid discharge, and relates to the technical field of laboratory management systems, wherein the method comprises the following steps: collecting laboratory feeding data and waste liquid generation data, and fitting and generating a first equation for reflecting the association relation between the feeding data and the waste liquid generation data based on a set algorithm; collecting laboratory feeding data, and calculating first theoretical generation data of the current waste liquid based on a first equation; and collecting actual generated data of the current laboratory waste liquid, comparing the actual generated data with the first theoretical generated data, and outputting alarm information if the difference value between the actual generated data and the first theoretical generated data exceeds a set range. According to the scheme, based on big data collected in a laboratory, the incidence relation between feeding and waste liquid generation data in the laboratory is calculated and fitted, so that the accuracy of the waste liquid actual generation data can be judged based on the laboratory actual feeding data, and the monitoring efficiency is improved.
Description
Technical Field
The invention relates to the technical field of laboratory management systems, in particular to an intelligent monitoring method and system for laboratory waste liquid discharge.
Background
In some chemical laboratories, the process of the experiment generates acidic or alkaline waste liquid, which is polluted if directly discharged into the natural environment, so that the waste liquid must be specially treated before being discharged to the outside.
However, due to the high cost of disposal of the waste liquid, some laboratories often choose to steal the environmentally hazardous waste liquid to the natural environment in order to save costs. Unlike the production of factory production line waste liquid, the production amount of laboratory waste liquid is small and irregular, so that the supervision department has difficulty in effectively supervising the discharge of laboratory waste liquid.
Disclosure of Invention
In order to effectively monitor the discharge of the laboratory waste liquid and avoid the phenomenon of illegal discharge, the first aim of the application is to provide an intelligent monitoring method for the discharge of the laboratory waste liquid, based on the method, the discharge of the laboratory waste liquid can be effectively monitored, and when the discharge of the laboratory waste liquid exceeds the expected range or is abnormal, alarm information can be automatically output; in order to achieve the above method, the second application also provides an intelligent monitoring system for laboratory waste liquid discharge, which can automatically collect and analyze data and output alarm information, and the monitoring efficiency is improved without affecting the normal operation of the whole laboratory, and the specific scheme is as follows:
an intelligent monitoring method for laboratory waste liquid discharge, comprising the following steps:
collecting laboratory feeding data and waste liquid generation data, and fitting and generating a first equation for reflecting the relation between the feeding data and the waste liquid generation data based on a set algorithm;
collecting laboratory feeding data, and calculating first theoretical generation data of the current waste liquid based on the first equation;
and collecting actual generated data of the current laboratory waste liquid, comparing the actual generated data with the first theoretical generated data, and outputting alarm information if the difference value between the actual generated data and the first theoretical generated data exceeds a set range.
Through the technical scheme, based on the collected big data, the association relation between the feeding data and the waste liquid generation data in the laboratory is calculated and fitted, so that the generation value of the waste liquid in the laboratory can be approximately calculated after the feeding data in the laboratory is known, and when the actual waste liquid generation value, namely, the actual generation data and the first theoretical generation data have larger difference, alarm information is output, so that the automatic monitoring of the discharge of the waste liquid in the laboratory can be realized, and the monitoring efficiency is improved.
Further, the method further comprises:
collecting and storing laboratory feeding time, feeding data and waste liquid generation data in an associated mode, and generating a second equation for reflecting the time-feeding-waste liquid generation relationship;
collecting the current time and calculating second theoretical generation data of the current waste liquid based on the second equation;
and collecting actual generated data of the current laboratory waste liquid, comparing the actual generated data with the second theoretical generated data, and outputting alarm information if the difference value between the actual generated data and the second theoretical generated data exceeds a set range.
According to the technical scheme, the waste liquid generation data in the laboratory are correlated with time, so that the correlation between the waste liquid generation data and the time is obtained, the generation data of the waste liquid in the laboratory at the current moment can be predicted through the correlation, and when the theoretical discharge amount, namely the second theoretical generation data and the actual generation data are too large in phase difference, an alarm is output, so that the monitoring accuracy can be improved.
Further, the method further comprises the following steps: collecting experiment names, feeding data, waste liquid generation data and experiment duration of various experiments in a laboratory, and generating and storing various experiment data tables in a correlated way;
collecting and storing experiment names, feeding data and experiment starting time at the beginning of an experiment, and calculating and generating the expected ending time of the experiment and the expected generation amount of waste liquid based on the experiment data table;
and collecting the actual generation amount of the waste liquid in the laboratory within a set time period according to the expected ending time of the experiment, comparing the actual generation amount with the expected generation amount of the waste liquid, and outputting alarm information if the difference value between the actual generation amount of the waste liquid and the expected generation amount of the waste liquid exceeds a set range.
Through the technical scheme, when experiments are started, the system can acquire experiment names and feeding data, so that waste liquid expected to be generated in a later set time period can be obtained, whether the waste liquid is stolen, discharged and leaked or not can be obtained by comparing the expected generation amount of the waste liquid with the actual generation amount of the waste liquid, and the monitoring efficiency can be effectively improved.
Further, the alarm information comprises alarm content information, alarm time information and alarm address information;
the method further comprises the steps of:
monitoring and responding to the output state of the alarm information, collecting monitoring videos in a set time period at the waste liquid outlet of the laboratory, carrying out image recognition on the monitoring videos based on a set image standard, and storing the monitoring videos and image recognition results in association with the alarm information.
Through the technical scheme, when the discharge amount of the waste liquid is abnormal, the monitoring video during the discharge of the waste liquid can be automatically recorded, so that the later tracing analysis of the reason of the abnormal discharge amount of the waste liquid is facilitated.
Further, the method further comprises:
based on the collected and stored alarm time information, calculating an experiment name corresponding to the alarm information according to the experiment data table and the experiment starting time of each experiment;
the calculating of the experiment name corresponding to the alarm information comprises the following steps:
setting a time range by taking the time corresponding to the alarm time information as a reference;
calculating the expected experiment ending time of each experiment based on the stored experiment names, experiment starting time and experiment duration, and outputting the corresponding experiment names according to the set rule if the expected experiment ending time falls into the set time range.
According to the technical scheme, the expected ending time of each experiment can be calculated according to the experiment data table of each experiment and the starting time of each experiment, so that the experiment name corresponding to the abnormal discharge phenomenon of the waste liquid can be reversely deduced, and the tracing of responsible persons is facilitated.
Further, the fitting generation of the first equation for reflecting the relation between the feeding data and the waste liquid generation data based on the setting algorithm comprises the following steps:
extracting an influence factor in the first mode, and setting a data modification interface and interface permission corresponding to the influence factor;
and receiving a modification instruction of the permission adapting personnel to adjust the influence factors in the first mode.
Through the technical scheme, the supervision and management personnel can correct the first equation according to actual conditions, and the alarm accuracy is improved.
In order to realize the method, the application also provides an intelligent monitoring system for laboratory waste liquid discharge, which comprises the following components:
the data acquisition and storage unit is used for acquiring and storing laboratory feeding data and waste liquid generation data;
the data fitting unit comprises a data fitting algorithm module, is in data connection with the data acquisition and storage unit, receives the laboratory feeding data and the waste liquid generation data, and fits and generates a first mode for reflecting the relation between feeding and waste liquid generation;
the data processing unit is in data connection with the data acquisition and storage unit, receives laboratory feeding data, and calculates theoretical generation data of the current waste liquid based on the first equation;
the data comparison unit is in data connection with the data acquisition and storage unit, receives actual generation data of the current laboratory waste liquid, compares the actual generation data with the theoretical generation data, and outputs alarm information based on a comparison result;
and the alarm unit is in data connection with the data comparison unit and the external information display terminal or the storage terminal, receives the alarm information and outputs the alarm information.
Through the technical scheme, the corresponding relation between the feeding data and the waste liquid generation data can be found from the historical big data of a laboratory, then the theoretical generation data of the waste liquid is calculated by utilizing the corresponding relation, and once the actual generation data of the waste liquid is inconsistent with the data, a corresponding alarm is output, so that the monitoring efficiency and deterrence of the waste liquid discharge are improved.
Further, the data acquisition and storage unit includes:
the data acquisition module comprises an experimental feeding weighing device, a flowmeter arranged at the waste liquid discharge port, an image acquisition device and a time recording device;
and the data storage module is in data connection with the data acquisition module and is used for receiving and storing laboratory feeding data, waste liquid generation data, video images, feeding time data and waste liquid generation time data.
Through the technical scheme, the amount of waste liquid discharged by a laboratory can be collected and stored in real time, and data such as video images and the like during discharge are reserved, so that the later-stage tracing is facilitated.
Further, the data storage module stores experiment names, feeding data, waste liquid generation data and various experiment data tables of the association relation of experiment duration of various experiments in a laboratory;
the laboratory feeding data comprise laboratory feeding time data, and the waste liquid generation data comprise waste liquid generation time data;
the system also comprises an experimental information input unit, which comprises:
the experiment name input module is configured to acquire and store experiment names at the beginning of experiments;
the experiment user input module is configured to collect and store the user name of the experiment at the beginning of the experiment;
the data processing unit is also provided with a pre-estimating module for calculating the expected end time of the experiment and the expected generation amount of the waste liquid according to the experiment data table and the feeding data;
the data comparison unit is configured with data connection with the data acquisition and storage unit and is used for acquiring the actual generation amount of the laboratory waste liquid in a set time period according to the expected ending time, comparing the actual generation amount with the expected generation amount of the waste liquid, and outputting alarm information if the difference value between the actual generation amount and the expected generation amount exceeds a set range.
According to the technical scheme, based on various experimental data tables and experimental feeding data, the expected generation amount of the waste liquid and the expected end time of the experiment can be known, and then the experimental name and the corresponding user name can be reversely deduced according to the waste liquid generation data acquired in real time, so that specific responsible persons can be traced.
Further, the alarm unit comprises an RS485 communication module, a USB communication module, a WIFI communication module, a Bluetooth communication module or a GPRS communication module;
the external information display terminal comprises a smart phone, a tablet personal computer and a PC;
the storage terminal comprises a database built in a laboratory system.
Through the technical scheme, the alarm information can be transmitted to the external slim display terminal in a wired or wireless mode, so that related personnel can be timely reminded to check the data, the timeliness of supervision is improved, and meanwhile, the alarm information is stored by the storage terminal, so that later-stage tracing is facilitated.
Compared with the prior art, the invention has the following beneficial effects:
(1) According to the method, based on big data collected by a laboratory, the association relation between the feeding data in the laboratory and the waste liquid generation data is calculated and fitted, so that theoretical generation data of waste liquid in the laboratory can be roughly calculated after the feeding data in the laboratory is known, and when the actual generation data and the theoretical generation data have large differences, alarm information is output, so that automatic monitoring of waste liquid discharge in the laboratory can be realized, and monitoring efficiency is improved;
(2) Based on various experimental data tables (stored with experimental names, feeding data, waste liquid generation data and experimental duration association relations) and experimental feeding data of various experiments in a laboratory, the expected generation amount of waste liquid and the expected ending time of the experiment can be known, then according to the waste liquid generation data acquired in real time, the experimental names and the experimental starting time can be deduced, and specific responsibility people for stealing and discharging the waste liquid can be traced.
Drawings
FIG. 1 is a schematic diagram of the overall flow of a laboratory waste discharge intelligent monitoring method;
fig. 2 is a schematic diagram of a structural framework of the intelligent monitoring system for laboratory waste liquid discharge.
Reference numerals: 100. a data acquisition and storage unit; 110. a data acquisition module; 120. a data storage module; 200. a data fitting unit; 300. a data processing unit; 310. a pre-estimating module; 400. a data comparison unit; 500. an alarm unit; 510. a communication end; 520. an external information display terminal; 600. an experiment information input unit; 610. the experiment name input module; 620. the experiment user input module; 710. modifying the interface; 720. and the permission checking module.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but embodiments of the present invention are not limited thereto.
An intelligent monitoring method for laboratory waste liquid discharge, as shown in figure 1, mainly comprises the following steps:
s100, collecting laboratory feeding data and waste liquid generation data, and fitting and generating a first equation for reflecting the association relation between the feeding data and the waste liquid generation data based on a set algorithm;
s200, collecting laboratory feeding data, and calculating first theoretical generation data of the current waste liquid based on the first equation;
s300, collecting actual generation data of the current laboratory waste liquid and comparing the actual generation data with the first theoretical generation data:
outputting alarm information if the difference value between the actual generation data and the first theoretical generation data exceeds a set range, and storing the actual generation data, the first theoretical generation data and the alarm information in a correlated way;
and if the difference value between the actual generation data and the first theoretical generation data is within a set range, storing the actual generation data and the first theoretical generation data.
In the step S100, the material-charging data and the waste-liquid-generating data refer to the amounts and types of the reaction materials charged into the laboratory, and similarly, the waste-liquid-generating data refer to the amounts and types of the waste liquid discharged from the laboratory, and the amounts may be represented by mass data, volume data, and ph data. Collecting laboratory feeding data and waste liquid generation data refers to acquiring historically stored data from a database or other storage media with a data storage function for later data analysis. The first method is used for reflecting the association relation between feeding and waste liquid generation, for example, the waste liquid with the B component is produced according to the raw material corresponding to the A component fed based on the historical big data.
In the step S200, collecting laboratory feeding data refers to collecting current or stored feeding data, and obtaining first theoretical generation data of the waste liquid by combining the feeding data with the first method.
In practice, since the feeding time of the laboratory is not constant, different amounts or types of reaction raw materials, such as acid solutions, lyes, etc. with different volumes, are fed in different time periods, so that in order to improve the accuracy of theoretical prediction, the method further comprises:
s101, collecting and storing the feeding time, feeding data and waste liquid generation data of a laboratory in an associated mode, and generating a second equation for reflecting the time-feeding-waste liquid generation relationship;
s201, collecting the current time and calculating second theoretical generation data of the current waste liquid based on the second equation;
s301, collecting actual generation data of the current laboratory waste liquid and comparing the actual generation data with the second theoretical data: outputting alarm information if the difference value between the actual generation data and the second theoretical generation data exceeds a set range, and storing the actual generation data, the second theoretical generation data and the alarm information in a correlated way;
and if the difference value between the actual generation data and the second theoretical generation data is within a set range, storing the actual generation data and the second theoretical generation data.
Based on the technical scheme, the waste liquid generation data in the laboratory are correlated with time, so that the corresponding relation between the waste liquid generation data and the time is obtained, the generation data of the waste liquid in the laboratory at the current moment can be predicted through the corresponding relation, when the theoretical discharge amount, namely the second theoretical generation data and the actual generation data are excessively different, an alarm is output, and the monitoring accuracy is effectively improved.
In a specific embodiment, the two methods may be combined, that is, taking into consideration the time factor and not taking into consideration the influence of the time factor, to obtain the difference between the actual generated data and the two theoretical generated data, respectively, and if the difference between the two differences is too large, outputting the alarm information.
In this embodiment, the method further includes: and collecting experiment names, feeding data, waste liquid generation data and experiment duration of all experiments in a laboratory, and generating and storing all experiment data tables in a correlated way. The above-mentioned experimental data table can be obtained by theoretical calculation, and is corrected by experimental actual data in practice, for example, in acid-base neutralization experiments or in neutralization treatment of acidic and alkaline waste solutions, when the two solutions are mixed in equal volumes, if the sum of the pH values of the two solutions is 14, the pH value of the mixed waste solution produced theoretically should be 7, and when the sum of the pH values of the two solutions is less than 13, the pH value of the mixed solution is the value of the original pH value small plus 0.3. Meanwhile, the time length required by the reaction of different acid-base reactions is correspondingly recorded.
Based on the experimental data table, the experimental name, the feeding data and the experimental start time are acquired at the beginning of the experiment, and the expected end time of the generation experiment and the expected generation amount of the waste liquid are calculated based on the experimental data table. And collecting the actual generation amount of the laboratory waste liquid in a set time period according to the expected ending time, comparing the actual generation amount with the expected generation amount of the waste liquid, and outputting alarm information if the difference between the actual generation amount and the expected generation amount exceeds a set range.
In detail, the alarm information comprises alarm content information, alarm time information and alarm address information, wherein the alarm content information specifically comprises alarm types, such as that the acidity of waste liquid exceeds a set value.
In order to facilitate the tracing of the abnormal reasons of the discharge amount of the waste liquid in the later period, the method further comprises the following steps: monitoring and responding to the output state of the alarm information, collecting the monitoring video at the waste liquid outlet of the laboratory, and storing the monitoring video in association with the alarm information.
Based on the method, the system can output an alarm when the discharge of the waste liquid in the laboratory is abnormal, but the later reason and responsibility are difficult to trace. To this end, further, the method further comprises:
based on the collected and stored alarm time information, calculating the experiment name corresponding to the alarm information according to the experiment data table and the experiment starting time of each experiment. The calculating of the experiment name corresponding to the alarm information comprises the following steps:
setting a time range by taking the time corresponding to the alarm time information as a reference;
calculating the expected experiment ending time of each experiment based on the stored experiment names, experiment starting time and experiment duration, outputting the corresponding experiment names according to a set rule if the expected experiment ending time falls into the set time range, for example, calculating the difference between the expected experiment ending time of each experiment and the midpoint of the set time range, sorting the experiment names with the expected experiment ending time falling into the set time range based on the difference, and outputting the sorted experiment names. Based on the technical scheme, the expected ending time of each experiment can be calculated according to the experiment data table of each experiment and the starting time of each experiment, so that the experiment name corresponding to the abnormal discharge of the waste liquid can be reversely deduced, and the tracing is convenient.
Because a plurality of experiments with consistent pollution characteristics are carried out in the same time period in a laboratory, in practical application, in order to further judge and trace back the illegal person, the setting rule further comprises image recognition of the content of the monitoring video based on the monitoring video at the waste liquid outlet of the laboratory. The image recognition technology is utilized to calculate the action and duration of dumping the waste liquid, the color and volume of the waste liquid and the like of the experimenter, and the waste liquid is compared with a standard image to generate image anomaly information which is associated with an experiment name and then stored in the system data storage module 120.
As the identification is only carried out on the monitoring video in the period corresponding to the abnormal emission condition, the feasibility is ensured in terms of the identification difficulty, the construction cost and the operation cost of the system.
Preferably, the basic parameters in the first equation may change with time environment, for example, the change of the environmental temperature may affect the association relationship between the feeding data and the waste liquid generating data. In order to adapt to the above-mentioned change, in step S100, the fitting generation of the first equation for reflecting the relation between the feeding and the waste liquid generation based on the setting algorithm includes:
s101, extracting an influence factor in the first equation, and setting a data modification interface 710 and interface authority corresponding to the influence factor;
s102, receiving a modification instruction of the right adaptation personnel to adjust the influence factors in the first mode.
Similarly, the second equation can be adjusted to obtain a more accurate theoretical prediction result.
In order to implement the above method, the present application further provides an intelligent monitoring system for laboratory waste liquid discharge, as shown in fig. 2, mainly including: the system comprises a data acquisition and storage unit 100, a data fitting unit 200, a data processing unit 300, a data comparison unit 400 and an alarm unit 500.
The data acquisition and storage unit 100 is mainly used for acquiring and storing laboratory feeding data and waste liquid generation data. In detail, the data acquisition and storage unit 100 includes a data acquisition module 110 and a data storage module 120.
The data acquisition module 110 comprises an experimental batch weighing device, an experimental batch volume measuring device, an experimental batch type recording device, a flowmeter arranged at the waste liquid discharge port, an image acquisition device, a time recording device and the like, which are arranged in a laboratory. The experimental batch weighing device can adopt an electronic scale connected with computer data, and the experimental batch volume measuring device can adopt a beaker with an automatic measurement volume and the like. The experimental batch type input device can adopt a tablet personal computer and a computer with man-machine interaction interfaces, and can also adopt a detector with an experimental batch identification function, such as a spectrum analyzer, an image identification instrument and the like. The flowmeter can be arranged at the pipe orifice of a drain pipe of a laboratory waste liquid collecting tank and used for detecting and measuring and calculating the flow rate and the volume of liquid passing through the drain pipe. The image acquisition device comprises a plurality of monitoring cameras arranged in a laboratory. It should be noted that the data acquisition module 110 is directly or indirectly connected to the data storage module 120 or the data processing unit 300.
The data storage module 120 is connected to each device included in the data acquisition module 110, and receives and stores laboratory batch data, waste liquid generation data, video images, batch time data, waste liquid generation time, and the like. In practice, the data storage module 120 may directly use a self-contained storage system of a computer to implement data storage, or may use a cloud database, where the cloud database is in data connection with the data acquisition module 110 through an internet communication component. Based on the technical scheme, the laboratory feeding data and the waste liquid generation data can be collected and stored in real time, and video image and other data during discharge are reserved, so that later-stage tracing is facilitated.
The data fitting unit 200 includes a data fitting algorithm module, which is in data connection with the data collection and storage unit 100, receives laboratory feeding data and waste liquid generation data, and fits and generates a first equation reflecting the relation between feeding and waste liquid generation. The data fitting algorithm can be directly obtained by adopting a data analysis plug-in of MATLAB, and the system only needs to build a data input/output interface and call the data fitting algorithm module.
The data processing unit 300 is in data connection with the data acquisition and storage unit 100, receives laboratory feeding data, and calculates first theoretical generation data of the current waste liquid based on a first equation. In practice, the data processing unit 300 may also retrieve the historical data in the data storage module 120 for processing, as required, so as to verify the accuracy of the theoretical generated data. In the system building, the data processing unit 300 can be directly implemented by a computer in a laboratory, and a CPU in the computer is utilized to implement rapid processing of data.
In a specific embodiment, the data processing unit 300 may combine the laboratory feeding time, the feeding data and the waste liquid generating data to fit and generate the second equation, and generate the second theoretical generating data for evaluating whether the actual waste liquid generating data is accurate, as in the above-mentioned manner.
The data comparing unit 400 is in data connection with the data collecting and storing unit 100, receives actual generated data of the current laboratory waste liquid, compares the actual generated data with first theoretical generated data, and outputs alarm information based on a comparison result. In practical applications, the data comparing unit 400 is a data comparing program module directly loaded in a computer, and shares the CPU computing resource in the computer with the data processing unit 300. The alarm information comprises stored specific content information and alarm triggering information.
The alarm unit 500 is in data connection with the data comparison unit 400 and the external information display terminal 520 or the storage terminal, receives alarm information, and outputs the alarm information. In detail, the alarm unit 500 includes a communication terminal 510, such as an RS485 communication module, a USB communication module, a WIFI communication module, a bluetooth communication module, a GPRS communication module, or a 4G/5G communication module.
Correspondingly, the external information display terminal 520 includes a smart phone, a tablet computer or a PC communicatively connected to the communication terminal 510. The external storage terminals may employ a laboratory system built-in server database or be functionally multiplexed with the data storage module 120.
Preferably, the data storage module 120 stores various experimental data tables of the association relationship among experimental names, feeding data, waste liquid generation data and experimental duration of various experiments in a laboratory. The laboratory feed data includes laboratory feed time data and the waste liquid generation data includes waste liquid generation time data.
The system is further configured with an experimental information input unit 600, which comprises an experimental name input module 610 and an experimental user input module 620, and the experimental information input unit 600 can realize functional multiplexing with the data acquisition and storage unit 100 in terms of hardware configuration.
The experiment name entry module 610 is configured to collect and store experiment names at the beginning of an experiment, and naming standards for the experiment names may be additionally formulated and stored in a system server in advance.
The experiment user input module 620 is configured to collect and store a user name of the experiment at the beginning of the experiment, where the user name includes information such as ID, name, level, etc. of the user, and the user name may be stored in a laboratory server in advance, and before the experiment, the user inputs the information and then performs system comparison to complete the experiment registration.
Based on the above-mentioned settings, the data processing unit 300 is further provided with a prediction module 310 for calculating the expected end time of the experiment and the expected generation amount of the waste liquid according to the above-mentioned experiment data table and the feeding data.
The data comparing unit 400 is configured in data connection with the data collecting and storing unit 100, and is configured to collect the actual generation amount of the laboratory waste liquid in a set period of time according to the expected ending time, compare the actual generation amount with the expected generation amount of the waste liquid, and output alarm information if the difference between the actual generation amount and the expected generation amount exceeds the set range. According to the technical scheme, based on various experimental data tables and experimental feeding data, the expected generation amount of the waste liquid and the expected end time of the experiment can be known, then the experimental name and the corresponding user name can be reversely deduced according to the real-time collected waste liquid generation data, and the later tracing of responsible persons who steal and discharge the waste liquid is facilitated.
Since the first equation equivalent obtained by the fitting of the data fitting unit 200 cannot completely and accurately reflect the association relationship between the data, for this reason, the system is further optimized to be further configured with a modification interface 710 for adjusting the influence factor in the first equation, and the modification interface 710 is provided with an interface authority and authority verification module 720 corresponding to the modification interface 710, and receives the modification instruction of the authority adapting person to adjust the influence factor in the first equation.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (7)
1. An intelligent monitoring method for laboratory waste liquid discharge is characterized by comprising the following steps:
collecting laboratory feeding data and waste liquid generation data, and fitting and generating a first equation for reflecting the association relation between the feeding data and the waste liquid generation data based on a set algorithm;
collecting laboratory feeding data, and calculating first theoretical generation data of the current waste liquid based on the first equation;
collecting actual generated data of the current laboratory waste liquid and comparing the actual generated data with the first theoretical generated data, and outputting alarm information if the difference value between the actual generated data and the first theoretical generated data exceeds a set range;
collecting and storing laboratory feeding time, feeding data and waste liquid generation data in an associated mode, and generating a second equation for reflecting the time-feeding-waste liquid generation relationship;
collecting the current time, and calculating second theoretical generation data of the current waste liquid based on the second equation;
collecting actual generated data of the current laboratory waste liquid and comparing the actual generated data with the second theoretical generated data, and outputting alarm information if the difference value between the actual generated data and the second theoretical generated data exceeds a set range;
the alarm information comprises alarm content information, alarm time information and alarm address information;
the method further comprises the steps of:
collecting experiment names, feeding data, waste liquid generation data and experiment duration of various experiments in a laboratory, and generating and storing various experiment data tables in a correlated way; monitoring and responding to the output state of the alarm information, collecting a monitoring video in a set time period at a waste liquid outlet of a laboratory, carrying out image recognition on the monitoring video based on a set image standard, and storing the monitoring video and an image recognition result in association with the alarm information; based on the collected and stored alarm time information, calculating an experiment name corresponding to the alarm information according to the experiment data table and the experiment starting time of each experiment;
the calculating of the experiment name corresponding to the alarm information comprises the following steps:
setting a time range by taking the time corresponding to the alarm time information as a reference;
calculating the expected experiment ending time of each experiment based on the stored experiment names, experiment starting time and experiment duration of each experiment, outputting the corresponding experiment name according to a set rule if the expected experiment ending time falls into the set time range, wherein the set rule is based on a monitoring video at a waste liquid outlet of a laboratory, performing image recognition on the content of the monitoring video, measuring and calculating the action and duration of pouring waste liquid, the color and the volume of the waste liquid by using an image recognition technology, comparing the action and duration of pouring waste liquid by an experimenter with a standard image, generating image anomaly information, correlating the image anomaly information with the experiment name, and storing the image anomaly information into a system data storage module.
2. The intelligent monitoring method of laboratory waste liquid discharge according to claim 1, further comprising:
collecting and storing experiment names, feeding data and experiment starting time at the beginning of an experiment, and calculating and generating the expected ending time of the experiment and the expected generation amount of waste liquid based on the experiment data table;
and collecting the actual generation amount of the waste liquid in the laboratory within a set time period according to the expected ending time of the experiment, comparing the actual generation amount with the expected generation amount of the waste liquid, and outputting alarm information if the difference value between the actual generation amount of the waste liquid and the expected generation amount of the waste liquid exceeds a set range.
3. The intelligent monitoring method for laboratory waste liquid discharge according to claim 1, wherein the fitting generation of the first equation reflecting the relation between the feeding data and the waste liquid generation data based on the set algorithm comprises:
extracting an influence factor in the first equation, setting a data modification interface (710) and interface authority corresponding to the influence factor;
and receiving a modification instruction of the permission adapting personnel to adjust the influence factors in the first mode.
4. Laboratory waste liquid discharges intelligent monitoring system, its characterized in that includes:
the data acquisition and storage unit (100) is used for acquiring and storing laboratory feeding data and waste liquid generation data;
the data fitting unit (200) comprises a data fitting algorithm module, is in data connection with the data acquisition and storage unit (100), receives the laboratory feeding data and the waste liquid generation data, and generates a first equation for reflecting the incidence relation between the feeding data and the waste liquid generation data based on a set algorithm fitting;
the data processing unit (300) is in data connection with the data acquisition and storage unit (100), receives laboratory feeding data, and calculates first theoretical generation data of the current waste liquid based on the first equation;
the data comparison unit (400) is in data connection with the data acquisition and storage unit (100), acquires actual generation data of the current laboratory waste liquid and compares the actual generation data with the first theoretical generation data, and if the difference value between the actual generation data and the first theoretical generation data exceeds a set range, outputs alarm information;
the data fitting unit (200) is further used for collecting and storing the laboratory feeding time, feeding data and waste liquid generation data in a correlated manner, and generating a second equation for reflecting the time-feeding-waste liquid generation relationship;
the data processing unit (300) is further used for collecting the current time and calculating second theoretical generation data of the current waste liquid based on the second equation;
the data comparison unit (400) is further configured to collect actual generated data of the current laboratory waste liquid and compare the actual generated data with the second theoretical generated data, and if a difference value between the actual generated data and the second theoretical generated data exceeds a set range, output alarm information, where the alarm information includes alarm content information, alarm time information, and alarm address information;
the alarm unit (500) is in data connection with the data comparison unit (400) and an external information display terminal (520) or a storage terminal, receives the alarm information and outputs the alarm information;
the data acquisition and storage unit (100) is also used for acquiring experiment names, feeding data, waste liquid generation data and experiment duration of all experiments in a laboratory, and generating and storing all experiment data tables in a correlated way; monitoring and responding to the output state of the alarm information, collecting a monitoring video in a set time period at a waste liquid outlet of a laboratory, carrying out image recognition on the monitoring video based on a set image standard, and storing the monitoring video and an image recognition result in association with the alarm information; based on the collected and stored alarm time information, calculating an experiment name corresponding to the alarm information according to the experiment data table and the experiment starting time of each experiment; the calculating of the experiment name corresponding to the alarm information comprises the following steps: setting a time range by taking the time corresponding to the alarm time information as a reference; calculating the expected experiment ending time of each experiment based on the stored experiment names, experiment starting time and experiment duration of each experiment, outputting the corresponding experiment name according to a set rule if the expected experiment ending time falls into the set time range, wherein the set rule is based on a monitoring video at a waste liquid outlet of a laboratory, performing image recognition on the content of the monitoring video, measuring and calculating the action and duration of pouring waste liquid, the color and the volume of the waste liquid by using an image recognition technology, comparing the action and duration of pouring waste liquid by an experimenter with a standard image, generating image anomaly information, correlating the image anomaly information with the experiment name, and storing the image anomaly information into a system data storage module.
5. The laboratory waste liquid discharge intelligent monitoring system according to claim 4, wherein the data acquisition and storage unit (100) comprises:
the data acquisition module (110) comprises an experimental feeding weighing device, a flowmeter arranged at the waste liquid discharge port, an image acquisition device and a time recording device;
and the data storage module (120) is in data connection with the data acquisition module (110) and is used for receiving and storing laboratory feeding data, waste liquid generation data, video images, feeding time data and waste liquid generation time data.
6. The intelligent monitoring system for laboratory waste liquid discharge according to claim 5, wherein the data storage module (120) stores therein experiment names, feeding data, waste liquid generation data and experiment duration association relations of each experiment in a laboratory;
the laboratory feeding data comprise laboratory feeding time data, and the waste liquid generation data comprise waste liquid generation time data;
the system further comprises an experimental information entry unit (600) comprising:
an experiment name entry module (610) configured to collect and store experiment names at the beginning of an experiment;
an experiment user entry module (620) configured to collect and store a user name of an experiment at the beginning of the experiment;
the data processing unit (300) is also provided with a pre-estimating module (310) for calculating the expected end time of the experiment and the expected generation amount of the waste liquid according to the experiment data table and the feeding data;
the data comparison unit (400) is configured with a data connection with the data acquisition and storage unit (100) and is used for acquiring the actual generation amount of the laboratory waste liquid in a set time period according to the expected ending time, comparing the actual generation amount with the expected generation amount of the waste liquid, and outputting alarm information if the difference between the actual generation amount and the expected generation amount exceeds a set range.
7. The laboratory waste liquid discharge intelligent monitoring system according to claim 6, wherein the alarm unit (500) comprises an RS485 communication module, a USB communication module, a WIFI communication module, a bluetooth communication module and a GPRS communication module;
the external information display terminal (520) comprises a smart phone, a tablet computer and a PC;
the storage terminal comprises a database built in a laboratory system.
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